Download The REVEILLE clock genes inhibit growth of

Document related concepts

Historia Plantarum (Theophrastus) wikipedia , lookup

Cultivated plant taxonomy wikipedia , lookup

History of botany wikipedia , lookup

Plant use of endophytic fungi in defense wikipedia , lookup

Plant secondary metabolism wikipedia , lookup

Plant defense against herbivory wikipedia , lookup

Venus flytrap wikipedia , lookup

Plant stress measurement wikipedia , lookup

Plant morphology wikipedia , lookup

Arabidopsis thaliana wikipedia , lookup

Sustainable landscaping wikipedia , lookup

Plant physiology wikipedia , lookup

Glossary of plant morphology wikipedia , lookup

Circadian rhythm wikipedia , lookup

Plant evolutionary developmental biology wikipedia , lookup

Cryptochrome wikipedia , lookup

Transcript
Plant Physiology Preview. Published on March 2, 2017, as DOI:10.1104/pp.17.00109
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
Running head: RVE transcription factors inhibit plant growth
The REVEILLE clock genes inhibit growth of juvenile and adult plants by
control of cell size
Authors: Jennifer A. Graya, Akiva Shalit-Kaneha, Dalena Nhu Chua, Polly
Yingshan Hsua,b, Stacey L. Harmera
Author affiliations: aDepartment of Plant Biology,
College of Biological Sciences,
University of California, Davis,
CA 95616, USA
One sentence summary:
Myb-like transcription factors important for circadian clock function also inhibit
cell expansion, affecting size of both juvenile and adult plants.
FOOTNOTES
Financial Source:
This work was supported by the National Institutes of Health (grant no.
GM069418 to SLH).
Present address: bDepartment of Biology
Duke University
Durham, North Carolina,
27708, USA
Corresponding Author: [email protected]
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
Copyright 2017 by the American Society of Plant Biologists
37
38
39
ABSTRACT
40
and fitness in a constantly changing environment. In Arabidopsis thaliana, the
41
clock is comprised of numerous regulatory feedback loops in which REVEILLE8
42
(RVE8) and its homologs RVE4 and RVE6 act in a partially redundant manner to
43
promote clock pace. Here, we report that the remaining members of the RVE8
44
clade, RVE3 and RVE5, play only minor roles in regulation of clock function.
45
However, we find that RVE8 clade proteins have unexpected functions in
46
modulation of light input to the clock and control of plant growth at multiple
47
stages of development. In seedlings, these proteins repress hypocotyl elongation
48
in a day-length and sucrose dependent manner. Strikingly, adult rve4 6 8 and
49
rve3 4 5 6 8 mutants are much larger than wild type, with both increased leaf
50
area and biomass. This size phenotype is associated with a faster growth rate
51
and larger cell size and is not simply due to a delay in the transition to flowering.
52
Gene expression and epistasis analysis reveal that the growth phenotypes of rve
53
mutants are due to misregulation of PHYTOCHROME INTERACTING FACTOR4
54
(PIF4) and PIF5 expression. Our results shows that even small changes in PIF
55
gene expression caused by perturbation of clock gene function can have large
56
effects on the growth of adult plants.
The circadian clock is a complex regulatory network that enhances plant growth
57
2
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
58
59
60
INTRODUCTION
Circadian rhythms are endogenous, biological rhythms that oscillate with
61
an approximately 24-hour period. These rhythms are observed in many
62
organisms throughout nature (Dunlap, 1999; Harmer et al., 2001; Harmer, 2009),
63
and are particularly vital for plants due to their sessile nature. Numerous studies
64
in plants have indicated that an impaired circadian oscillator can contribute to
65
diminished growth, impaired defense against herbivores and pathogens, and
66
even reduced fitness (Green et al., 2002; Dodd et al., 2005; Yerushalmi et al.,
67
2011; Goodspeed et al., 2012; Ruts et al., 2012).
68
The molecular network of the Arabidopsis circadian clock is primarily
69
comprised of transcription factors that regulate each other’s as well as their own
70
expression (Hsu and Harmer, 2014; McClung, 2014). Two homologous single
71
MYB-domain transcription factors CIRCADIAN CLOCK ASSOCIATED1 (CCA1)
72
and ELONGATED HYPOCOTYL (LHY) (Schaffer et al., 1998; Wang and Tobin,
73
1998) have a circadian pattern of transcript peaking at dawn, and loss-of-function
74
mutants have a short free-running period in continuous light (Green and Tobin,
75
1999; Alabadi et al., 2002; Mizoguchi et al., 2002). CCA1 and LHY comprise a
76
negative feedback loop with TIMING OF CAB EXPRESSION (TOC1) in which
77
they bind to the evening element (EE) promoter motif of this and other evening-
78
phased clock genes to repress expression during the day (Alabadi et al., 2002;
79
Harmer and Kay, 2005; Nagel et al., 2015). TOC1 in turn regulates CCA1 and
80
LHY by repressing their expression in a time-of-day manner (Gendron et al.,
81
2012; Huang et al., 2012; Pokhilko et al., 2012).
3
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
82
More recent work has characterized the role of the transcription factor
83
REVEILLE8 (RVE8), a homolog of CCA1 and LHY, in the circadian network
84
(Farinas and Mas, 2011; Rawat et al., 2011). These transcription factors are
85
deemed members of the core oscillator, as mutation of these genes results in a
86
free-running clock period that is either longer or shorter than wild type.
87
Specifically, while cca1 and lhy mutants have a short period, the rve8 loss-of-
88
function mutant has a long free-running period (Farinas and Mas, 2011; Rawat et
89
al., 2011). Although RVE8 binds to similar evening-phased gene targets as
90
CCA1 and LHY, this transcription factor activates instead of represses target
91
gene expression (Farinas and Mas, 2011; Rawat et al., 2011; Hsu et al., 2013),
92
explaining the opposite period phenotypes of these mutants. RVE8 forms an
93
additional feedback loop in the clock, in which it positively regulates the evening-
94
expressed transcription factor PSEUDO RESPONSE REGULATOR5 (PRR5),
95
whose protein in turn represses expression of RVE8 (Rawat et al., 2011).
96
RVE8 is one of eleven homologous MYB-like transcription factors in
97
Arabidopsis (Rawat et al., 2009). RVE8 acts in a partially redundant manner with
98
REVEILLE4 (RVE4) and REVEILLE6 (RVE6), two closely related genes, to
99
promote clock pace (Hsu et al., 2013). Two remaining members of the RVE8
100
clade, REVEILLE3 (RVE3) and REVEILLE5 (RVE5), were found to associate
101
with the EE promoter motif both in vitro and in vivo (Gong et al., 2008; Rawat et
102
al., 2011). However, their role in the clock has not been previously characterized.
103
Additional key clock proteins include the transcription factors EARLY
104
FLOWERING3 (ELF3), EARLY FLOWERING4 (ELF4), and LUX ARRYTHMO
4
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
105
(LUX), which together comprise the tripartite evening complex (EC) (Nusinow et
106
al., 2011). Each component of the EC is necessary for its function, as the lux,
107
elf3, and elf4 single mutants are all arrhythmic in continuous light (Hicks et al.,
108
2001; Doyle et al., 2002; Hazen et al., 2005). The EC forms in the early evening
109
and acts to regulate numerous downstream genes as well as expression of other
110
clock components (Dixon et al., 2011; Helfer et al., 2011; Nusinow et al., 2011;
111
Mizuno et al., 2014).
112
Approximately one-third of the Arabidopsis transcriptome is under
113
circadian control (Covington et al., 2008), and consistent with this many aspects
114
of plant growth and development are influenced by the circadian clock (Farre,
115
2012; Song et al., 2013). Hypocotyl and root elongation and leaf growth undergo
116
daily rhythms, and the phases of peak growth rates are shifted but not abolished
117
in constant environment conditions (Nozue et al., 2007; Poire et al., 2010; Iijima
118
and Matsushita, 2011; Yazdanbakhsh et al., 2011).
119
The clock is vital for growth rhythms in multiple organs, as the leaves and
120
roots of arrhythmic circadian mutants CCA1-ox and prr9 7 5 exhibit perturbed
121
growth (Ruts et al., 2012). The clock also modulates the timing of the transition
122
from vegetative to reproductive growth by controlling rhythmic oscillations of key
123
transcriptional regulators that promote flowering (Song et al., 2013). Flowering
124
time is also regulated by light signaling pathways, which modulate stability of
125
clock-regulated proteins to control their activity in a day length-dependent
126
manner (Song et al., 2013).
5
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
127
Many other developmental pathways are regulated not only by the clock
128
but also by environmental stimuli. Hypocotyl elongation in Arabidopsis is
129
influenced by changes in light and temperature as well as by the clock (Nozue et
130
al., 2007; Nomoto et al., 2012). Two key regulators of hypocotyl elongation are
131
the basic helix-loop-helix (bHLH) transcription factors PHYTOCHROME
132
INTERACTING FACTOR 4 (PIF4) and PIF5 (Leivar et al., 2008; Lorrain et al.,
133
2008; Hornitschek et al., 2012; Leivar et al., 2012). The differential patterns of
134
hypocotyl growth in constant light and in light-dark cycles are due to the EC-
135
mediated circadian regulation of PIF4 and PIF5 expression (Nusinow et al.,
136
2011) combined with the post-translational regulation of PIF protein stability by
137
red light-activated phytochrome (Nozue et al., 2007; Lorrain et al., 2008). In
138
addition, PIF4 and PIF5 influence the rhythmic growth of leaves (Dornbusch et al.,
139
2014). PIF proteins have also been shown to act in many other response
140
pathways, such as auxin (Franklin et al., 2011; Kunihiro et al., 2011; Nozue et al.,
141
2011; Hornitschek et al., 2012; Sun et al., 2012), gibberellin (de Lucas et al.,
142
2008), high temperature (Koini et al., 2009; Stavang et al., 2009) and sucrose
143
(Liu et al., 2011; Stewart et al., 2011).
144
Although the roles of the circadian clock and PIFs in regulation of
145
hypocotyl elongation in Arabidopsis have been thoroughly examined, clock
146
modulation of growth in adult plants is much less understood. Here, we
147
demonstrate that loss of RVE function alters PIF gene expression. Surprisingly,
148
this perturbation causes greatly enhanced growth at both juvenile and mature
149
stages of development, resulting in increased cell size and greater aerial
6
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
150
biomass in rve mutants than in wild-type controls. These data provide a rare
151
example in which alteration of circadian clock function promotes instead of
152
inhibits plant growth, potentially opening up novel agricultural applications.
153
154
155
RESULTS
156
The RVEs act in a partially redundant manner to promote the pace of the
157
clock
158
159
Previous work has demonstrated that multiple members of the RVE family of
160
transcription factors help control the pace of the circadian clock. Whereas
161
mutations in the MYB-like transcription factors CCA1 and LHY shorten clock
162
pace (Green and Tobin, 1999; Alabadi et al., 2002; Mizoguchi et al., 2002),
163
mutations in their homolog RVE8 and two closely related genes, RVE4 and
164
RVE6, lengthen circadian period (Farinas and Mas, 2011; Rawat et al., 2011;
165
Hsu et al., 2013).
166
RVE3 and RVE5 are the remaining members of the RVE8 clade. To
167
investigate their role in clock function, we first identified plants with T-DNA
168
insertions within these two genes. Neither RVE3 nor RVE5 was detectably
169
expressed in the rve3-1 (SALK_001480C) or rve5-1 (SAIL_769_A09) mutants,
170
respectively (Supplemental Fig. 1). As neither single mutant has a detectable
171
circadian clock phenotype (data not shown), we examined the free-running
172
circadian period in rve3-1 rve5-1 (rve3 5) mutants harboring a clock-regulated
173
luciferase reporter construct (CCR2::LUC). In contrast to the long-period
174
phenotype of the rve4-1 rve6-1 rve8-1 (rve4 6 8) triple mutant (Hsu et al., 2013),
7
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
175
the rve3 5 double mutant displays a slightly shorter free-running period than wild
176
type (Col = 23.95±0.09; rve4 6 8 = 27.83±0.7; rve3 5 = 23.63±0.04) (Fig. 1).
177
Although the period of the rve3 5 double mutant is statistically significantly
178
different than wild type, the subtle difference in clock pace compared to wild type
179
suggests that RVE3 and RVE5 don’t play a major role in clock function.
180
We next examined whether RVE3 and RVE5 play a partially redundant
181
role in the clock with their homologs RVE4, RVE6, and RVE8. In contrast to the
182
slightly shorter period seen in rve3 5 double mutants when compared to wild type,
183
plants mutant for all five RVE8-related transcription factors (rve3 4 5 6 8) have a
184
slightly longer free-running period than the rve4 6 8 triple mutant (rve4 6 8 =
185
27.83±0.7; rve3 4 5 6 8 = 28.33±0.09). The difference in period between the rve
186
triple and quintuple mutants is small, although statistically significant (Fig. 1).
187
This result further indicates a modest role for RVE3 and RVE5 in the control of
188
clock pace.
189
We next examined whether the sensitivity of the circadian clock to light is
190
altered in rve mutants. For this, we examined the effects of different fluence
191
rates of monochromatic red and blue light on free-running circadian period.
192
Mutations in light-signaling components have previously been shown to alter the
193
relationship between free-running period and fluence rate (Somers et al., 1998;
194
Devlin and Kay, 2000). We found that the shortening of period in response to
195
high fluence rates of monochromatic red light seen in Col and rve3 5 is less
196
pronounced in rve4 6 8 and rve3 4 5 6 8 (Fig. 1), suggesting reduced sensitivity
197
of the clock to red light in these mutants. Surprisingly, rve triple and quintuple
8
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
198
mutants in monochromatic blue light have longer free-running periods at higher
199
than at lower fluence rates, the opposite of the trend seen in wild type (Fig. 1).
200
Thus clock responsiveness to blue light is fundamentally different in the rve
201
mutants than in control plants. Together, these data indicate that the RVEs affect
202
both red and blue light signaling to the circadian clock, but in a distinct manner.
203
204
Flowering time is modestly delayed in the rve mutants
205
The circadian clock plays an important role in the day-length dependent control
206
of the transition from vegetative to reproductive growth (Song et al., 2013). To
207
determine whether the RVEs play an important role in the regulation of flowering
208
time, we examined both leaf number and days to bolting in Col, rve4 6 8, and
209
rve3 4 5 6 8 mutants grown in long-day (LD) (16 hr light:8 hr dark) conditions. In
210
our growth conditions, wild-type plants bolt after approximately 24 days, while
211
flowering time in the rve4 6 8 triple mutant is delayed by an average of three
212
days. The rve3 4 5 6 8 quintuple mutant flowers significantly later than the triple
213
mutant, at approximately 29 days (Fig. 2). These slight delays in the timing of
214
the transition to flowering are mirrored by changes in leaf number at bolting, with
215
the rve4 6 8 mutant generating an average of two more and rve3 4 5 6 8 an
216
average of three more rosette leaves than wild type (Fig. 2). Thus the RVE8
217
clade genes play a minor role in the control of flowering time.
218
219
Day-length dependence of RVE mutant hypocotyl phenotypes
9
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
220
The circadian clock drives rhythmic oscillations of hypocotyl elongation in
221
Arabidopsis, and mutations in many clock genes results in seedlings with
222
perturbed hypocotyl growth patterns (Farre, 2012). Since RVE8 clade genes
223
affect clock pace, we investigated the hypocotyl phenotypes of the rve triple and
224
rve quintuple mutants at various intensities of white light and under different day
225
lengths.
226
When grown in short-day (SD) conditions (8 hr light : 16 hr dark), both
227
wild-type and rve mutant plants show inhibition of hypocotyl elongation in
228
response to increasing fluence rates of light (Fig. 3). However, the hypocotyl
229
lengths of the rve triple and rve quintuple mutants are significantly longer than
230
wild type at all fluence rates tested, with the maximal difference between the
231
mutants and wild type occurring at the highest fluence rate tested (100 μmol m-2
232
s-1 white light) (Fig. 3). In LD conditions, hypocotyl lengths of the rve triple and
233
quintuple mutants are significantly different from wild type at mid-to-high light
234
intensities (7.5-50 μmol m-2 s-1), but not at the lowest (0.6 μmol m-2 s-1) or highest
235
(100 μmol m-2 s-1) fluence rates tested (Fig. 3). Similar to LD conditions,
236
hypocotyls of the rve4 6 8 and rve3 4 5 6 8 mutants are longer than wild-type at
237
mid-range intensities (7.5-25 μmol m-2 s-1) of continuous white light (LL), but are
238
no different from the control at very low (0.6 μmol m-2 s-1) or high (50-80 μmol m-2
239
s-1) fluence rates (Fig. 3). The hypocotyl lengths of rve4 6 8 and rve3 4 5 6 8 are
240
not significantly different from each other under any of the conditions tested.
241
Taken together, these data indicate that RVE4, RVE6, and RVE8 contribute to
242
regulation of hypocotyl length in a fluence-rate and day-length dependent
10
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
243
manner, and that RVE3 and RVE5 do not significantly contribute to this
244
phenotype in the conditions tested.
245
246
The RVEs repress growth in adult plants
247
Since we found that the RVEs influence growth at the seedling stage, we
248
investigated if this is also true at later stages of development by measuring the
249
rosette diameter of six-week old plants grown in LD conditions. We found that
250
both rve4 6 8 and rve3 4 5 6 8 are approximately 1.5 fold larger in diameter than
251
wild type (Fig. 4). To determine if this rosette size difference is associated with
252
increased biomass, we measured the dry weight of aerial tissues of plants
253
harvested at six weeks of age. Strikingly, the rve triple and rve quintuple mutants
254
exhibit an approximately 30% increase in aerial dry weight compared to wild type
255
(Fig. 4). There is no significant difference in aerial biomass between the rve
256
triple and rve quintuple mutants, indicating that RVE3 and RVE5 do not
257
significantly contribute to growth regulation in LD conditions (Fig. 4).
258
To determine whether the extra rosette leaves made by the rve mutants
259
before the transition to flowering (Fig. 2) could account for the increased growth
260
of these mutants, we assessed rosette diameter by measuring the distance
261
between leaves 8 and 9, which were produced by all genotypes. As measured
262
this way, the rosette diameter of rve4 6 8 and rve3 4 5 6 8 mutants is
263
approximately 25% larger than the wild-type controls (Fig. 4), demonstrating a
264
growth phenotype in these plants independent of the flowering time phenotype.
11
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
265
We next measured blade area, blade length, and petiole length of leaves 8
266
and 9 in the rve mutants to determine what aspects of leaf development are
267
affected. Blade area of both leaves 8 and 9 is increased approximately 20-30%
268
in the triple and quintuple rve mutants compared to wild type (Fig. 4). Average
269
blade length of leaf 8 is also increased by about 20%, being ~7mm longer (p-
270
value = 6.4x10-4) in the rve triple and ~9mm longer (p-value = 4.8x10-5) in the rve
271
quintuple mutant relative to wild type. Likewise, blade length in leaf 9 is
272
increased by ~8mm (p-value = 1.6x10-4) and ~10mm (p-value = 5.6x10-6) in the
273
rve triple and quintuple mutants, respectively, compared to wild type (Fig. 4).
274
The difference in average petiole length is similar between the two mutants and
275
wild type, with an increase in petiole length of ~7-8mm (p-value < 5x10-4) in rve4
276
6 8 and ~9-10mm (p-value < 5x10-3) in rve3 4 5 6 8 relative to controls (Fig. 4).
277
Thus many aspects of leaf growth are enhanced in rve mutants.
278
We also measured these growth parameters at three weeks of age, before
279
the transition to bolting in both wild-type and rve mutant plants. Similar to later
280
stages of growth, rve triple and rve quintuple mutants both display significant
281
increases in blade area, blade length, and petiole length compared to wild type
282
when grown in LD (Supplemental Fig. 2). In contrast, blade area and length are
283
not significantly different between the rve mutants and wild type grown in SD,
284
although petiole length in the mutants is greater than in the controls in both SD
285
and LD.
286
and rve3 4 5 6 8. However, the rve3 4 5 6 8 mutant has a significantly longer
287
petiole than rve4 6 8 in SD but not LD (Supplemental Fig. 2). This suggests that
Most leaf parameters are not significantly different between rve4 6 8
12
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
288
the roles of RVE3 and RVE5 are influenced by environmental factors. Together,
289
our data show that members of the RVE8 clade are inhibitors of plant growth at
290
both the seedling and adult stages of development and across different
291
environmental conditions.
292
293
294
Growth rate is accelerated in rve mutants
To better understand why rve mutants are larger than wild type, we
295
investigated if the rve leaves are expanding at a faster rate or growing for a
296
longer period of time than in control plants. To avoid the confounding effects of
297
differences in flowering time, we measured rosette diameter as the distance
298
between leaves 8 and 9, which are produced by all genotypes. Significant
299
differences in rosette diameter are evident for both the rve triple and quintuple
300
mutants throughout all stages of growth, long before the transition to flowering
301
(Fig. 5). Both mutant and wild-type plants ceased rosette expansion
302
approximately 30 days after germination, indicating that the larger size of rve
303
mutants is due to a faster growth rate rather than an extended period of leaf
304
growth. These data demonstrate that the larger rosette size in adult rve mutants
305
is partly caused by an enhanced growth rate of individual leaves and not just a
306
delay in flowering time.
307
We examined whether this increased growth rate is due to larger average
308
cell size or more cells per organ in the mutant compared to control. We found
309
that the average area of mesophyll cells in the leaves of six-week old rve4 6 8
310
mutants is increased by approximately 30% compared to wild type (Col =
13
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
311
7.01x103 μm2; rve4 6 8 = 9.27x103 μm2; p-value = 5.3x10-36) (Fig. 5). This
312
increase in cell size is similar to the increase in total blade area in the mutant (Fig.
313
4), suggesting that larger average cell size is primarily responsible for the
314
increased leaf size in rve mutants.
315
316
rve mutants display an enhanced sensitivity to sucrose
317
Sugars are well-known regulators of plant growth (Lastdrager et al., 2014). We
318
therefore investigated whether rve mutants have an altered response to sucrose.
319
We grew rve4 6 8, rve3 4 5 6 8, and Col seedlings on various concentrations of
320
sucrose in 12 hr light:12 hr dark conditions and measured hypocotyl lengths.
321
The maximal enhancement of hypocotyl elongation for all genotypes occurred at
322
2% sucrose, and diminished at higher concentrations (Fig. 6). We next examined
323
responsiveness to sucrose by comparing the degree of sucrose-mediated growth
324
enhancement relative to the no-sucrose controls for each genotype (Fig. 6).
325
Notably, both rve triple and quintuple mutants displayed an enhanced response
326
to sucrose compared to Col at concentration of sucrose between 0.5 and 3% (Fig.
327
6). The quintuple rve mutant demonstrated an even greater response to sucrose
328
than the rve triple at 2% and 6% sucrose (Fig. 6), suggesting that RVE3, RVE5,
329
or both act in a partially redundant manner with RVE4, RVE6, and RVE8 to
330
repress sucrose growth responses.
331
332
Expression of PIF transcription factors is altered in rve mutants
14
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
333
Previous studies have revealed a role for the clock-regulated transcription factors
334
PIF4 and PIF5 in the promotion of hypocotyl elongation in response to sucrose
335
(Liu et al., 2011; Stewart et al., 2011). Since the rve mutants are hyper-
336
responsive to sucrose (Fig. 6), we investigated whether PIF expression patterns
337
are altered in rve mutants in either constant light and/or light/dark cycles. First,
338
wild-type and mutant seedlings were grown in light-dark cycles and then
339
transferred to constant light and temperature conditions at dawn (Zeitgeber Time
340
0; ZT 0). After 32 hours in constant conditions, plants were harvested at three-
341
hour intervals and gene expression was determined using qRT-PCR. As
342
expected given the long period phenotype of rve4 6 8 mutants (Fig. 1), the
343
circadian patterns of expression of both PIF4 and PIF5 show obvious phase
344
delays (Fig. 7 and Supplemental Fig. 3). Notably, the maximal abundance of
345
PIF4 and PIF5 is not appreciably different from wild type in these conditions.
346
However, the waveforms of PIF gene expression are altered in rve4 6 8 such that
347
trough levels of PIF gene expression are increased during the subjective night
348
(ZT 36 – 48) and the peaks of gene expression are broader (Fig. 7). This
349
suggests that overall PIF expression levels may be higher in the mutant than in
350
wild type. Indeed, quantification of PIF4 and PIF5 expression across the entire
351
LL time series, determined by computing the area under the curves using natural
352
cubic spline interpolation, reveals significantly greater expression levels in the rve
353
mutant compared to wild type (Fig. 7). These data suggest that the growth
354
phenotypes of rve mutants maintained in constant light (Fig. 3) might be due to
355
increased overall levels of PIF gene expression.
15
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
356
We next examined PIF expression in seedlings grown in LD and SD
357
cycles (Fig. 7 and Supplemental Fig. 3). Similar to the LL data, we saw no
358
difference in peak levels of PIF4 and PIF5 expression but did see an increase in
359
trough levels. Quantification of PIF gene expression across the entire LD and
360
SD time courses did not reveal significant differences between the rve mutant
361
and wild type (data not shown). However, since PIF4 and PIF5 proteins are
362
destabilized in the light (Nozue et al., 2007; Lorrain et al., 2008), differences in
363
transcript levels at night are likely to be of greatest biological significance. We
364
therefore calculated PIF mRNA expression levels integrated across only the dark
365
portions of the LD and SD time series. We found significantly higher nighttime
366
levels of PIF4 and PIF5 expression in LD in the rve mutant compared to wild type.
367
In SD, the differences in PIF expression between the genotypes were smaller,
368
reaching statistical significance for PIF4 but not PIF5 (Fig. 7). These data
369
suggest that the enhanced growth phenotypes of rve mutants in light/dark cycles
370
(Fig. 3, Fig. 4, and Fig. 5) might be due to increased levels of PIF expression
371
during the night.
372
Expression of PIF4 and PIF5 is directly repressed by multiple clock
373
components, including the EC (Nusinow et al., 2011), PRR5 (Kunihiro et al.,
374
2011; Nakamichi et al., 2012), and TOC1 (Huang et al., 2012). Since we
375
previously reported that RVE8 directly induces expression of PRR5, TOC1, and
376
LUX, a member of the EC, (Hsu et al., 2013), we examined transcript levels of
377
these genes in rve4 6 8 mutants and wild-type plants grown in LL, LD, and SD
378
(Supplemental Fig. 4 and 5). As expected, in LL all three evening genes display
16
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
379
a phase delay in the rve mutant (Supplemental Fig. 4 and 5). Both PRR5 and
380
TOC1 have significantly decreased expression levels in the rve mutant when
381
values are integrated across the LL time series (Supplemental Fig. 4). However,
382
only PRR5 shows an obvious decrease in peak levels of expression in rve4 6 8
383
(Supplemental Fig. 4). We did not observe a significant difference in LUX
384
expression levels in rve4 6 8 (Supplemental Fig. 4). Thus the increased overall
385
increased levels of PIF4 and PIF5 expression in the rve4 6 8 mutant in LL (Fig. 7)
386
may be due to lower levels of PRR5 and/or TOC1.
387
We next examined PRR5, TOC1, and LUX expression in LD and SD.
388
Especially in LD, there are clear differences in the waveforms and phases of
389
expression of these evening genes in rve4 6 8 (Supplemental Fig. 4 and Fig. 5).
390
However, quantification of their expression did not reveal significant decreases in
391
expression in the rve mutant compared to wild type when assessed across the
392
entire LD and SD time series (Supplemental Fig. 4). Surprisingly, overall TOC1
393
expression in LD is slightly elevated in the mutant compared to wild type
394
(Supplemental Fig. 4). These data suggest that the night-specific, but not overall,
395
increase in PIF4 and PIF5 expression in rve4 6 8 in LD and SD (Fig. 7) may be
396
due to changes in phase of evening-gene expression but are not attributable to
397
changes in their overall expression levels. Together, these data suggest the
398
RVEs have a key role in setting the appropriate phase of gene expression in
399
light/dark cycles and overall target gene expression levels in constant
400
environmental conditions.
401
17
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
402
The PIFs are epistatic to the RVEs at multiple growth stages
403
The increased levels of PIF4 and PIF5 transcripts in rve4 6 8 overall in LL and
404
specifically at night in LD and SD (Fig. 7) suggest increased PIF activity might
405
contribute to the enhanced growth phenotypes in this mutant. We therefore
406
generated a quintuple rve4 6 8 pif 4 5 mutant to investigate whether the PIFs are
407
required for the large size phenotype of the rve mutants. As expected (Nozue et
408
al., 2007; Lorrain et al., 2008), pif4 5 double mutants have shorter hypocotyls
409
than wild type (Fig. 8). Notably, while the hypocotyls of the rve4 6 8 mutant are
410
almost 50% longer than those of wild type in LL and LD, the hypocotyls of the
411
quintuple rve4 6 8 pif4 5 mutant are almost the same length as those of the pif4 5
412
mutant in these conditions (Fig. 8). A similar suppression of the rve hypocotyl
413
phenotype is observed in plants grown in 12 hr light:12 hr dark conditions, both
414
with and without sucrose in the growth media (Supplemental Fig. 6).
415
Interestingly, we did not observe epistasis when seedlings were maintained in
416
SD (Fig. 8). Loss of rve4 6 8 in these conditions caused an approximately 50%
417
increase in hypocotyl length both in the Col and the pif4 5 background. Thus
418
when seedlings are grown in LL, LD, or 12:12 L:D conditions, PIF4 and/or PIF5
419
are largely responsible for the effects of RVE4, RVE6, and RVE8 on hypocotyl
420
growth; however, a different mechanism appears to cause the long hypocotyls of
421
rve4 6 8 seedlings grown in SD.
422
We next sought to determine whether the PIFs are responsible for the
423
large adult rosette phenotype in rve mutants. We therefore examined rosette
424
and leaf size phenotypes of long-day grown quintuple rve4 6 8 pif4 5 mutants
18
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
425
and the appropriate controls at three weeks of age. Strikingly, the pif4 5 and
426
rve4 6 8 pif4 5 mutants have very similar rosette diameters (Fig. 8). Consistent
427
with this overall appearance, the blade areas, blade lengths, and petiole lengths
428
of these mutants are not significantly different from each other (Fig. 8). Thus the
429
pif4 5 mutations suppress both the seedling and adult growth phenotypes of rve4
430
6 8 mutants, indicating a role for the RVEs in modulation of PIF gene expression
431
and the control of growth throughout plant development.
432
433
434
435
436
DISCUSSION
437
CCA1/LHY/RVE transcription factors in the plant circadian network (Wang and
438
Tobin, 1998; Green and Tobin, 1999, 2002; Rawat et al., 2009; Farinas and Mas,
439
2011; Rawat et al., 2011; Hsu et al., 2013) Remarkably, different members of this
440
small gene family play contrasting roles: while CCA1 and LHY lengthen (Green
441
and Tobin, 1999; Alabadi et al., 2002; Mizoguchi et al., 2002) and RVE4, RVE6,
442
and RVE8 shorten circadian period (Farinas and Mas, 2011; Rawat et al., 2011;
443
Hsu et al., 2013), RVE1 does not affect clock pace but instead mediates
444
circadian regulation of the auxin pathway (Rawat et al., 2009). With this range of
445
functions in mind, we phenotyped plants mutant for RVE3 and RVE5, the last two
446
uncharacterized members of this Myb-like transcription factor family.
447
Numerous previous studies have highlighted the importance of the
RVE8 and its close homologs RVE4 and RVE6 were previously shown to
448
control circadian clock pace in a partially redundant manner (Hsu et al., 2013).
449
We now show that the two remaining homologs of the RVE8 clade, RVE3 and
19
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
450
RVE5, play only a minor role in controlling clock pace. The rve3 5 double mutant
451
has a free-running circadian period very similar to wild type (Fig. 1). Additionally,
452
although the free running period of the rve3 4 5 6 8 mutant is slightly longer than
453
that of the triple rve4 6 8 mutant in red plus blue light, the period differences are
454
small (Fig. 1). Taken together, our results suggest that RVE3 and RVE5 only
455
promote clock pace in conjunction with RVE4, RVE6, and RVE8, and that their
456
role the clock is subtle. It is important to note that the rve6 allele used in this
457
study is not a complete knockout, retaining approximately ∼30% of normal RVE6
458
transcript levels (Hsu et al., 2013). Further studies with a null rve6 allele would
459
reveal if complete loss of all RVE8 clade members affects rhythmic robustness in
460
addition to causing a long period phenotype.
461
In addition to longer free-running rhythms, light regulation of clock function
462
is altered in plants mutant for the RVEs (Fig. 1). Typically, the free-running
463
circadian period of diurnal organisms is shorter at higher light intensities and
464
longer at lower light intensities (Aschoff, 1960; Somers et al., 1998). In contrast
465
to wild-type Arabidopsis, the circadian pace in rve triple and quintuple mutants is
466
relatively insensitive to increasing fluence rates of red light (Fig. 1). Similar
467
insensitivity to fluence rate is observed in plants expressing a constitutively
468
activated phytochrome photoreceptor (Jones et al., 2015), suggesting that there
469
are changes in red light input to the clock in rve mutants. Surprisingly, increasing
470
intensities of continuous blue light results in progressive lengthening of free-
471
running period in the triple and quintuple rve mutants (Fig. 1). A similar
472
lengthening of circadian period in response to increasing intensities of red (but
20
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
473
not blue) light has been reported in plants mutant for LNK1 or LNK2 (Xie et al.,
474
2014), which encode transcriptional co-activators that work with RVE proteins to
475
control expression of central clock genes (Rugnone et al., 2013; Xie et al., 2014).
476
The differential sensitivities of lnk and rve mutants to red and blue light are
477
therefore at first surprising. However, LNK1 and LNK2 affect clock function in a
478
partially redundant manner (Rugnone et al., 2013; Xie et al., 2014) and the effect
479
of light on clock pace in lnk1 lnk2 mutants has not yet been reported. In addition,
480
LNK proteins have been shown to antagonize RVE8 function in at least one clock
481
output pathway (Perez-Garcia et al., 2015). Finally, LNK1 and LNK2 interact with
482
CCA1 and LHY in addition to RVE4 and RVE8 (Xie et al., 2014), suggesting they
483
may affect the clock independent of RVE8-clade proteins. The relationship
484
between the Myb-like transcription factors and the LNK proteins is therefore
485
complex, making mutant phenotypes difficult to predict.
486
The most obvious phenotype in the rve triple and quintuple mutants is
487
their enhanced size relative to wild type at both seedling and adult stages of
488
development (Figs. 3 and 4). RVE3 and RVE5 appear to play a minor role in
489
growth regulation, as the triple and quintuple rve mutants have similar growth
490
phenotypes. One exception is the longer petiole lengths of rve3 4 5 6 8 plants
491
relative to rve4 6 8 plants at 3 weeks of age; interestingly, this difference is
492
observed for plants grown in SD but not those grown in LD (Supplemental Fig. 2).
493
RVE3 and RVE5 therefore play both a photoperiod and tissue-specific role in
494
growth regulation.
21
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
Epistasis experiments also suggest that RVE4, RVE6, and RVE8 regulate
495
496
plant growth via distinct mechanisms depending upon the photoperiod. PIF4
497
and/or PIF5 are required for the enhanced growth of rve triple mutants in most
498
photoperiods, but not in SD (Fig. 8 and Supplemental Fig. 6). It is possible that
499
the enhanced growth of rve4 6 8 mutants in SD is instead due to misregulation of
500
the related transcription factors PIF1 and/or PIF3. Both of these proteins have
501
been implicated in the promotion of hypocotyl elongation in response to SD (Soy
502
et al., 2012; Soy et al., 2014). Moreover, when plants are grown in SD, TOC1
503
and PIF3 co-regulate expression of growth-related genes, with TOC1 inhibiting
504
PIF transactivation activity at the promoters of common target genes in the first
505
part of the night (Soy et al., 2016). It is possible that in rve4 6 8 plants grown in
506
SD, there is a delay in the phase of TOC1 protein accumulation such that the
507
normal inhibition of PIF growth-promoting activity during the early night does not
508
occur.
509
In contrast to plants grown in SD, the enhanced growth of rve4 6 8
510
mutants maintained in LL, LD, or 12 hr light:12 hr dark conditions depends on
511
functional PIF4 and PIF5 genes (Fig. 8 and Supplemental Fig. 6). In addition, the
512
overall expression levels of both PIF4 and PIF5 in the rve mutant are significantly
513
elevated relative to wild-type plants when examined over a 1.5 day time course
514
collected in LL (Fig. 7). RVE8 directly promotes expression of PRR5 and TOC1
515
(Rawat et al., 2011; Hsu et al., 2013), two known repressors of PIF4 and PIF5
516
expression (Kunihiro et al., 2011; Huang et al., 2012; Nakamichi et al., 2012).
517
Notably, we find that PRR5 and TOC1 expression is significantly reduced in rve4
22
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
518
6 8 plants grown in LL (Supplemental Fig. 4), potentially explaining the enhanced
519
expression of PIF4 and PIF5 in this condition.
520
The ability of the pif4 pif5 mutations to suppress the long-hypocotyl
521
phenotypes of rve mutants in LL (Fig. 8) is at first surprising given the relatively
522
small increases in PIF4 and PIF5 transcript levels in rve4 6 8 plants (Fig. 7).
523
However, previous studies have demonstrated that modest increases in trough
524
levels of PIF4 and PIF5 transcripts cause increased hypocotyl elongation
525
(Nusinow et al., 2011; Wang et al., 2015).
526
In LL conditions, growth phenotypes in rve4 6 8 cannot be attributed to
527
conflicts of circadian phase with light/dark transitions. However, the same is not
528
true in LD. In this condition, we find that PIF4 and PIF5 expression levels are
529
significantly increased during the dark period (Fig. 7) although not across the
530
entire time series (data not shown). Since PIF proteins are stable in the dark but
531
not the light (Nozue et al., 2007; Lorrain et al., 2008), the night-phased
532
upregulation of these transcripts is likely to lead to a greater accumulation of PIF
533
proteins in rve4 6 8 than in wild type. PIF4 and PIF5 proteins induce expression
534
of genes that positively regulate hypocotyl growth (Franklin et al., 2011; Kunihiro
535
et al., 2011; Nozue et al., 2011; Hornitschek et al., 2012; Sun et al., 2012),
536
suggesting a mechanism to explain enhanced growth in rve4 6 8 plants in LD
537
conditions. Indeed, under this photoperiod, pif4 pif5 is epistatic to rve4 6 8 both
538
at the seedling (Fig. 8) and rosette stage (Fig. 8) of development. Together,
539
these data strongly suggest the growth phenotypes of rve4 6 8 in LD are due to
540
elevated PIF4 and/or PIF5 expression levels at night.
23
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
541
These increased nighttime expression levels of PIF4 and PIF5 in LD may
542
be attributed both to a delay in circadian phase (given the long-period phenotype
543
of rve4 6 8) as well as increased trough levels of the transcripts (Fig. 7). We thus
544
conclude that in LD cycles the rve4 6 8 growth phenotypes are due to alterations
545
in PIF4 and/or PIF5 expression that are caused by both direct RVE control of
546
gene expression and the overall long-period phenotype of this mutant.
547
Recent work has highlighted the importance of both shared and separate
548
molecular pathways controlling growth at different stages of development and in
549
different environmental conditions (Nozue et al., 2015; Seaton et al., 2015). Our
550
current results show that RVE4, RVE6, and RVE8 are partially redundant
551
inhibitors of plant growth throughout plant development, and that both juvenile
552
and adult growth phenotypes of rve mutants require PIF4 and/or PIF5 function
553
(Fig. 8 and Supplemental Fig. 6). These data strongly suggest that these PIFs
554
not only enhance hypocotyl growth but also growth of adult plants. This PIF-
555
dependent promotion of leaf growth at the adult stages of plant development is
556
surprising given previous reports that both loss-of-function and constitutive
557
overexpression of PIF4/PIF5 reduce adult plant size (Fujimori et al., 2004;
558
Lorrain et al., 2008; Keller et al., 2011; Kumar et al., 2012; Nieto et al., 2015;
559
Nozue et al., 2015). The PIF-mediated promotion of adult growth in rve4 6 8 may
560
be due either to the modest increases or the precise time of day at which
561
PIF4/PIF5 expression is increased.
562
Perturbation of clock genes is generally associated with a reduction in
563
adult biomass (Dodd et al., 2005; Graf et al., 2010). Other reported cases in
24
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
564
which mutation of clock genes increases adult plant size can be attributed to a
565
delay in flowering time rather than growth promotion per se. For example, plants
566
overexpressing CCA1 or mutant for PRR5, PRR7, and PRR9 display reduced
567
growth rates as juvenile plants (Ruts et al., 2012) but flower very late (Wang and
568
Tobin, 1998; Nakamichi et al., 2005b) and are thus very large plants at the time
569
of senescence. To our knowledge, the enhanced growth rate we observe in
570
rve8-clade mutants has not previously been reported for a circadian mutant.
571
The increased size phenotypes of the rve triple and quintuple mutants
572
might be immediately relevant for agricultural purposes. Phylogenetic analysis
573
shows the RVE8 clade is conserved in both monocot and dicot crop species
574
(Supplemental Fig. 7). Recent studies show that variants in a number of clock
575
gene homologs in crop species, including homologs of genes that are RVE8
576
targets in Arabidopsis, are associated with favorable yield traits (Bendix et al.,
577
2015). Perturbations in the circadian clock have been associated with the growth
578
advantages seen in polyploids and in hybrids (Ni et al., 2009). Intriguingly, EE
579
motifs are enriched in the promoters of genes specifically upregulated in
580
polyploids (Ni et al., 2009). Together with our demonstration of enhanced growth
581
rates in rve mutants, this suggests that modulation of RVE8 function may
582
contribute to the hybrid vigor previously associated with alterations in CCA1 and
583
LHY function (Chen, 2010).
584
585
586
25
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
587
588
589
MATERIALS AND METHODS
590
Col; CCR2::LUC wild-type and the rve 4 6 8; CCR2::LUC mutant lines were
591
previously described (Rawat et al., 2011; Hsu et al., 2013) The quintuple rve
592
mutant was generated by introgressing the rve3-1 allele (SALK_001480C) and a
593
rve5-1 mutant allele (SAIL_769_A09) into the previously characterized rve4 6 8
594
triple mutant (Hsu et al., 2013). Genotypic verification of combinatorial mutants
595
was performed via PCR analysis using primers as follows: RVE3 WT; 5’-
596
CAACAACGATACCGGTTTCCATACG-3’ and 5’-
597
TCGCAATGCACTAATCCATGCTTAC-3’; RVE3 TDNA; 5’-
598
CAACAACGATACCGGTTTCCATACG-3’ and 5’-GCGTGGACCGCTTGCTGC
599
AACT-3’. RVE5 WT; 5’-TCTGGGTACTAGAGCAACGAGAC-3’, and 5’-
600
ACTCCCGGTTCCTCTACTATCAC-3’; RVE5 TDNA; 5’-
601
TAGCATCTGAATTTCATAACCAATCTCGATACAC-3’ and 5’ACTCCCGG-
602
TTCCTCTACTATCAC-3’. The primers used to genotype RVE4, RVE6, and
603
RVE8 were previously described (Rawat et al., 2011; Hsu et al., 2013). The
604
qPCR primers used to examine RVE3 expression are 5’-
605
AGCCCTTCATCTATTTGACCGGGA-3’ and 5’-
606
TGTGCGTGGCTTCGTATCTGTATC-3’. The primers used to quantify RVE5
607
expression via semi-quantitative RT-PCR are 5’-
608
ATGGTGTCCGTAAACCCTAGAC-3’ and 5’-
609
CTATTTCAAAGCTTTAGCGCTGTA-3’. The double pif4 5 mutant (pif4-101;
610
GARLIC_114_G06 and pif5-1; SALK_087012) (Fujimori et al., 2004; Lorrain et al.,
Mutant alleles and genotyping
26
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
611
2008) was crossed to the rve4 6 8 mutant to generate the rve4 6 8 pif4 5
612
quintuple mutant. The primers used to genotype the PIF4 and PIF5 alleles are
613
as follows: PIF4 WT; 5’-CTCGATTTCCGGTTATGG-3’ and 5’-
614
CAGACGGTTGATCATCTG-3’; PIF4 TDNA; 5’-CAGACGGTTGATCATCTG-3’
615
and 5’-GCATCTGAATTTCATAACCAATC-3’; PIF5 WT; 5’-
616
TCGCTCACTCGCTTACTTAC-3’ and 5’-TCTCTACGAGCTTGGCTTTG-3’; PIF5
617
TDNA; 5’-TCGCTCACTCGCTTACTTAC-3’ and 5’-
618
GGCAATCAGCTGTTGCCCGTCTCACTGGTG-3’. The primers used to amplify
619
the wild-type and T-DNA-specific bands for RVE4, RVE6, and RVE8 have been
620
previously reported (Hsu et al., 2013).
621
622
623
624
Circadian period analysis
Seeds were sowed on petri plates containing 1xMS medium (Murashige and
625
Skoog; (Sigma-Aldrich, St. Louis, MO), 3% sucrose, 0.8% agar. Seeds were
626
then stratified for 2-4 days in the dark at 4°C before entrainment in 12 hr light:12
627
hr dark conditions for 6 days at 50 μmol m-2 s-1 white light, 22°C. Seedlings were
628
sprayed with 3 mM D-luciferin (Biosynth) and luciferase activity detected using an
629
ORCA II ER CCD (Hamamatsu Photonics) with illumination provided by light
630
emitting diode SnapLites (Quantum Devices, Inc., Barneveld, WI) emitting
631
continuous monochromatic red or blue light. Neutral density filters (Rosco
632
Laboratories, Sun Valley, CA) were use to generate variable light fluence rates.
633
Bioluminescence was quantified using MetaMorph software (Molecular Devices)
634
and period analysis was performed using Biological Rhythms Analysis Software
635
System (BRASS) http://millar.bio.ed.ac.uk/PEBrown/BRASS/BrassPage.htm).
27
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
636
Hypocotyl analysis
637
Seeds were plated on medium containing 1XMS, 0.8% agar, and concentrations
638
of sucrose ranging from 0-6% (w/v) as indicated. Seeds were stratified and
639
released to the appropriate day-length conditions under cool white fluorescent
640
bulbs at the indicated light intensities, 22°C, for seven days. Neutral density
641
filters were utilized to generate the indicated fluence rates. Individual hypocotyls
642
were transferred to transparencies and scanned following established protocols
643
(http://malooflab.openwetware.org/Hypocotyl_measurement.html). Hypocotyl
644
lengths were measured using ImageJ (http://imagej.nih.gov/ij/).
645
646
Adult plant phenotyping and flowering time analysis
647
Arabidopsis seeds were plated on 0.5X MS; 0.8% agar medium and cold
648
stratified for 2-4 days before being transferred to growth chambers illuminated
649
with cool white fluorescent bulbs at 50 μmol m-2 s-1 white light, 22°C, for four days.
650
Upon germination, seedlings were transferred directly to soil and grown under 50
651
μmol m-2 s-1 white light, 22°C, in long-day (16 hr light : 8 hr dark) conditions for
652
the indicated lengths of time. Three-week and six-week old plant leaves were
653
analyzed according to the LeafJ protocol (Maloof et al., 2013). Rosette growth
654
was determined manually by using calipers to measure the distance between the
655
eighth and ninth leaves of every plant. Total aerial biomass was quantified for
656
six-week old plants after they had been stored and dried for three days at 40°C.
657
Flowering time was scored when plants generated a 1 cm bolt in long-day
658
conditions.
28
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
659
Cell size analysis
660
Six-week old plants were dissected and leaves eight and nine were fixed and
661
cleared according to previously described methods (Tsuge et al., 1996; Horiguchi
662
et al., 2006) for two to three hours. Cleared leaves were imaged at 20X
663
magnification using Zeiss Axioscop 2 plus microscope, and mesophyll cell area
664
was determined using ImageJ software (http://imagej.nih.gov/ij/).
665
666
RNA extraction and qRT-PCR analysis
667
Seedlings were grown for six days in 12 hr light:12 hr dark conditions and then
668
released to constant white light for 32 hours before approximately 20-40
669
seedlings were collected per sample for the LL time course. For the LD and SD
670
time courses, seedlings were grown in 16 hr light:8 hr dark or 8 hr light:16 hr dark
671
photocycles for 6 days before sample collection was started. RNA was extracted
672
from whole seedlings using Trizol reagent following the manufacturer’s protocol
673
(Life Technologies, Carlsbad, CA). RNA was subjected to DNAse treatment
674
following the Qiagen RNase-free DNase protocol (Qiagen, Valencia, CA), and
675
cDNA was synthesized using oligo-dT primers and Superscript II Reverse
676
Transcriptase (Life Technologies, Carlsbad, CA). qRT-PCR analysis was
677
performed with reagents as previously described (Martin-Tryon and Harmer,
678
2008) using a BioRad iQ5 thermocycler. Data were analyzed by the delta Ct
679
method using iCycler iQ Optical Systems Software version 3.1 (BioRad
680
Laboratories, Inc., Hercules, CA). Gene expression analysis was conducted
681
using previously described primers (Nusinow et al., 2011; Hsu et al., 2013).
29
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
682
Quantification of gene expression across the LL, LD and SD time series was
683
carried out by computing the area under the curves using natural cubic spline
684
interpolation using the auc function in the MESS package (Ekstrøm, 2016) in the
685
R statistical environment (R Core Team, 2016). Statistical significance was then
686
assessed with linear mixed effect models with genotype as a fixed and replicate
687
as a random effect using the R packages lme4 (Bates et al., 2015) and lmerTest
688
(Kuznetsova et al., 2016).
689
690
Phylogenetic analysis
691
Phylogenetic analysis was performed on the Phylogeny.fr platform (Dereeper et
692
al., 2008). Amino acid sequences for Myb-like factors were aligned with
693
MUSCLE (v3.8.31) configured for highest accuracy (default settings). The
694
phylogenetic tree was reconstructed using the maximum likelihood method
695
implemented in the PhyML program (v3.1/3.0 aLRT). The WAG substitution
696
model was selected assuming an estimated proportion of invariant sites (of
697
0.039) and 4 gamma-distributed rate categories to account for rate heterogeneity
698
across sites. The gamma shape parameter was estimated directly from the data
699
(gamma=1.046). Reliability for internal branch was assessed using the aLRT test
700
(SH-Like). Graphical representation and edition of the phylogenetic tree were
701
performed with TreeDyn (v198.3). UniProtKB/Swiss-Prot reference sequences
702
are as follows: Arabidopsis thaliana: At_CCA1 (P92973), At_LHY (Q6R0H1),
703
At_RVE1 (F4KGY6), At_RVE2 (F4K5X6), At_RVE3 (Q6R0H0), At_RVE4
30
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
704
(Q6R0G4), At_RVE5 (C0SVG5), At_RVE6 (Q8H0W3), At_RVE7 (B3H5A8),
705
At_RVE7-like (F4J2J6), and At_RVE8 (Q8RWU3); Oryza sativa:
706
Os01g06320 (Q5ZCD7), Os_02g45670 (B9F1T8), Os_02g46030 (Q6ZHD2),
707
Os_04g49450 (A3AWS7), Os_05g07010 (C7J2V5), Os_06g01670 (Q5VS69),
708
Os_06g45840 (B9FQF0), Os_06g51260 (B5AEI9), and Os_08g06110
709
(Q0J7W9); Solanum lycopersicum: Sl_01g095030 (K4AZP3), Sl_02g036370
710
(K4B5T0), Sl_03g098320 (K4BJP7), Sl_06g036300 (K4C4Z7), Sl_10g005080
711
(K4CX41), and Sl_10g084370 (K4D3M3).
712
31
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
713
FIGURE LEGENDS
714
Figure 1. Free-running circadian period is lengthened in rve triple and quintuple
715
mutants. Plants were entrained for 6d in 12 hr light:12 hr dark cycles at 22°C
716
before release to constant light (LL) at the indicated fluence rates at 22°C. A,
717
CCR2::LUC expression was assayed in constant red plus blue light (86 μmol m-2
718
s-1 total fluence, equal contributions red and blue light) (n=35-45). B, Fluence rate
719
response curves for CCR2::LUC period in constant red light (n=20-30). C,
720
Fluence rate response curves for CCR2::LUC period in constant blue light (n=20-
721
30). Error bars represent SEM. ** indicates p < 0.01, *** indicates p < 0.001,
722
Student’s t test. Data shown are illustrative of at least two independent
723
experiments.
724
725
Figure 2. Flowering time is modestly delayed in rve mutants. Plants were grown
726
in 16 hr light:8 hr dark cycles; bolting date was defined as the day at which the
727
inflorescence reached 1 cm. A, Days to bolting (n=25-36); B, Rosette leaf
728
number at bolting (n=25-36). Error bars represent SEM. *** indicates p < 0.001,
729
Student’s t test. Data shown are illustrative of at least two independent
730
experiments.
731
732
Figure 3. Hypocotyl lengths of Col and rve mutants grown in different
733
photoperiods. Seedlings were grown at 22°C in white light at the indicated
734
fluence rates for seven days. A, Hypocotyl lengths of Col and rve mutants in 8 hr
735
light:16 hr dark (short day, SD) conditions (n=15-40). B, Hypocotyl lengths in 16
32
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
736
hr light:8 hr dark (long day, LD) conditions (n=23-35). C, Hypocotyl lengths in
737
constant light (LL) conditions (n=20-40). Error bars represent SEM. ** indicates p
738
< 0.01, *** indicates p < 0.001, Student’s t test. Data shown are illustrative of at
739
least two independent experiments.
740
741
Figure 4. Aerial growth phenotypes of 6-wk-old wild type and rve mutants.
742
Plants were grown in LD cycles (55 μmol m-2 s-1 white light) for six weeks. A, Col
743
and rve3 4 5 6 8 plants. B, Rosette diameter measured at the greatest distance
744
between leaves of Col, rve4 6 8, and rve3 4 5 6 8 plants (n=28-33). C, Biomass
745
measured as total aerial dry weight (n=16-23). D, Rosette diameter measured as
746
the distance between leaves 8 and 9 (n=28-33). E, Blade areas of leaves 8 and 9
747
(n=12). F, Blade lengths of leaves 8 and 9 (n=12). G, Petiole lengths of leaves 8
748
and 9 (n=12). Error bars represent SEM. * indicates p < 0.05, ** indicates p <
749
0.01, *** indicates p < 0.001, Student’s t test. Data shown are illustrative of at
750
least two independent experiments.
751
752
Figure 5. The RVEs reduce rosette growth rate and cell size. Col, rve4 6 8, and
753
rve3 4 5 6 8 plants were grown in LD cycles (55 μmol m-2 s-1 white light). A,
754
Rosette diameter measured as the distance between leaves 8 and 9 (n=28-33).
755
Asterisks indicate significant difference between the mutants and Col. ***
756
indicates p < 0.001, Student’s t test. B, Size of leaf blade mesophyll cells in six-
757
week-old Col and rve4 6 8 plants (n=12 leaves per genotype; n=20-40 cells per
758
leaf). Images were taken at 20X magnification with Zeiss Axioscop 2 plus
33
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
759
microscope. Scale bar represents 100 μm. C, Quantification of mesophyll cell
760
area. Error bars represent SEM. *** indicates p < 0.001, Student’s t test; N.S.,
761
not significant. Data shown are illustrative of at least two independent
762
experiments.
763
764
Figure 6. The RVEs repress growth responses to sucrose. A, Hypocotyl lengths
765
of 6d-old seedlings grown in 12 hr light:12 hr dark cycles (55 μmol m-2 s-1 white
766
light) at 22°C (n=28-47) with the indicated concentrations of sucrose in the media.
767
B, As above, but hypocotyl lengths were normalized within each genotype so that
768
the 0% sucrose control = 100%. *** indicates p < 0.001, N.S., not significant,
769
Student’s t test.
770
771
Figure 7. PIF4 and PIF5 expression is elevated in rve4 6 8 mutants. A – F, Time
772
course of PIF4 and PIF5 expression. Seedlings were grown in (A, B) 12 hr
773
light:12 hr dark cycles at 25 μmol m-2 s-1 white light for 6d before transfer to LL at
774
the same fluence rate, (C, D) LD, or (E, F) SD cycles under 25 μmol m-2 s-1 white
775
light. A, C, E, PIF4 and B, D, F, PIF5 expression normalized relative to PP2a.
776
Times represent hours since the last transition from dark to light; error bars
777
represent SEM of two independent biological replicates. G, H, Expression of
778
PIF4 (G) or PIF5 (H) integrated across the entire LL time series (left y-axes) or
779
during the dark portions of the LD and SD time series (right y-axes) computed as
780
the area under the curve. Error bars represent range of values across two
781
independent time course experiments. *** indicates p < 0.001, ** indicates p <
34
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
782
0.005, and * indicates p < 0.05, linear mixed effect model with genotype as a
783
fixed and replicate as a random effect; N.S., not significant.
784
785
Figure 8. The PIFs are epistatic to the RVEs at both seedling and adult stages of
786
development. A, Seedlings were grown in LL at 7.5 μmol m-2 s-1 (white light) for
787
6d at 22°C. B, Quantification of hypocotyl length of plants grown as in (A) (n=68-
788
80). C –D, Seedlings were grown in LD (C) or SD (D) at 25 μmol m-2 s-1 (white
789
light) on media containing 3% sucrose for 6d at 22°C and hypocotyl length
790
measured (n= 72-92). E-H, Col, rve4 6 8, pif4 5, and rve4 6 8; pif4 5 plants were
791
grown in LD cycles (55 μmol m-2 s-1) for 3 weeks. E, 3-wk-old plants. F, Leaf 5
792
blade area, G, blade length, and H, petiole length of indicated genotypes of 3-wk-
793
old plants (n=12). Lines within the box-and-whisker plots represent the medians;
794
whiskers and outliers plotted with the Tukey method. Significance is indicated as
795
determined by linear mixed effect model with genotype as a fixed and replicate
796
as a random effect. Error bars represent SEM. Data shown are illustrative of at
797
least two independent experiments.
798
799
SUPPLEMENTAL DATA
800
Supplementary Figure 1. Gene expression in rve3 and rve5 mutants.
801
Supplementary Figure 2. Aerial growth phenotypes of 3-wk-old wild type and
802
rve mutants grown in long or short days.
803
Supplementary Figure 3. PIF4 and PIF5 expression is elevated in rve4 6 8
804
mutants.
35
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
805
Supplementary Figure 4. PRR5, TOC1, and LUX expression is altered in rve4
806
6 8 mutants.
807
Supplementary Figure 5. PRR5, TOC1, and LUX expression is altered in rve4
808
6 8 mutants.
809
Supplementary Figure 6. The PIFs are epistatic to the RVEs when grown on
810
media lacking sucrose.
811
Supplementary Figure 7. The RVE8 clade is conserved in monocot and dicot
812
species.
813
814
Supplementary Figure 1. Gene expression in rve3 and rve5 mutants. A, RVE3
815
expression in Col and rve3-1 plants harvested two hours after subjective dawn
816
(CT 2) as determined by qRT-PCR (RVE3/PP2a). B, Semi-quantitative RT-PCR
817
detects RVE5 signal in cDNA generated from Col, but not rve5-1 plants, after 30
818
and 35 cycles of amplification. Primers against RVE4 were used as a positive
819
control.
820
821
Supplementary Figure 2. Aerial growth phenotypes of 3-wk-old wild type and
822
rve mutants grown in long or short days. Plants were grown in (A – C) LD cycles
823
(55 μmol m-2 s-1 white light) or (D – F) SD cycles (120 μmol m-2 s-1 white light) for
824
three weeks. A, D, Blade areas of leaf 5 (n=12). B, E, Blade lengths of leaf 5
825
(n=12). C, F, Petiole lengths of leaf 5 (n=12). The trend of larger leaf
826
dimensions in the rve mutants was similar for four different leaves tested
827
amongst respective light conditions. Error bars represent SEM. * indicates p <
36
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
828
0.05, ** indicates p < 0.01, *** indicates p < 0.001, Student’s t test. Data shown
829
are illustrative of at least two independent experiments.
830
831
Supplementary Figure 3. PIF4 and PIF5 expression is elevated in rve4 6 8
832
mutants. Seedlings were harvested in LL (A, B), LD (C,D), or SD (E,F)
833
conditions; these are the same data shown in Figure 7 but are plotted on a linear
834
rather than log scale on the y-axis. A, C, E, PIF4 expression relative to PP2a. B,
835
D, F, PIF5 expression relative to PP2a. n=10-30 for all genotypes tested. Error
836
bars represent SEM for two independent biological replicates.
837
838
Supplementary Figure 4. PRR5, TOC1, and LUX expression is altered in rve4
839
6 8 mutants. Seedlings were grown as described in the legend for Figure 7 and
840
were harvested in LL (A-C), LD (D-F), or SD (G-H) conditions. A, D, G, PRR5
841
expression relative to PP2a. B, E, H, TOC1 expression relative to PP2a. C, F, I,
842
LUX expression relative to PP2a. n=10-30 for all genotypes tested. Error bars
843
represent SEM for two independent biological replicates. J – L, Expression of
844
PRR5 (J), TOC1 (K), or LUX (L) (integrated across the entire LL, LD, and SD
845
time series) computed as the area under the curve. Error bars represent range
846
of values across two independent time course experiments. *** indicates p <
847
0.001, and * indicates p < 0.05, linear mixed effect model with genotype as a
848
fixed and replicate as a random effect; N.S., not significant.
849
37
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
850
Supplementary Figure 5. PRR5, TOC1, and LUX expression is altered in rve4
851
6 8 mutants. Seedlings were harvested in LL (A-C), LD (D-F), or SD (G-H)
852
conditions; these are the same data shown in Supplemental Figure 4 but are
853
plotted on a log rather than linear scale on the y-axis. A, D, G, PRR5 expression
854
relative to PP2a. B, E, H, TOC1 expression relative to PP2a control. C, F, I, LUX
855
expression relative to PP2a control. n=10-30 for all genotypes tested. Error bars
856
represent SEM for two independent biological replicates.
857
858
Supplementary Figure 6. The PIFs are epistatic to the RVEs when grown on
859
media lacking sucrose. Seedlings were grown for 6d in 12 hr light:12 hr dark
860
cycles at 50 μmol m-2 s-1 (white light) at 22°C on media A, containing 3% sucrose
861
(n=32-45), or B, lacking sucrose (n=15-24). Error bars represent SEM. *
862
indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, Student’s t test.
863
Data shown are illustrative of at least two independent experiments.
864
865
Supplementary Figure 7. The RVE8 clade is conserved in monocot and dicot
866
species. Phylogenetic tree of single Myb-like proteins from Arabidopsis thaliana
867
(At), Oryza sativa (Os), and Solanum lycopersicum (Sl). Values for branches
868
represent proportion of bootstrap data sets that support the indicated topography.
869
38
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
870
ACKNOWLEDGEMENTS
871
We thank the Arabidopsis Biological Resource Center and Kazunari Nozue for
872
providing seeds. We also thank members of the Harmer lab, Kazunari Nozue,
873
and Julin Maloof for helpful discussions.
874
875
AUTHOR CONTRIBUTIONS
876
JAG, ASK, PYH, and SLH designed the research; JAG, ASK, DNC, and PYH
877
performed the research; JAG, ASK, PYH, and SLH analyzed data; and JAG and
878
SLH wrote the paper.
879
880
39
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
LITERATURE CITED
Alabadi D, Yanovsky MJ, Mas P, Harmer SL, Kay SA (2002) Critical role for CCA1
and LHY in maintaining circadian rhythmicity in Arabidopsis. Curr Biol 12: 757761
Aschoff J (1960) Exogenous and endogenous components in circadian rhythms. Cold
Spring Harb Symp Quant Biol 25: 11-28
Bates D, Maechler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models
using lme4. J. Stat. Softw. 67: 1-48
Bendix C, Marshall CM, Harmon FG (2015) Circadian Clock Genes Universally
Control Key Agricultural Traits. Mol Plant 8: 1135-1152
Chen ZJ (2010) Molecular mechanisms of polyploidy and hybrid vigor. Trends Plant Sci
15: 57-71
Covington MF, Maloof JN, Straume M, Kay SA, Harmer SL (2008) Global
transcriptome analysis reveals circadian regulation of key pathways in plant
growth and development. Genome Biol 9: R130
de Lucas M, Daviere JM, Rodriguez-Falcon M, Pontin M, Iglesias-Pedraz JM,
Lorrain S, Fankhauser C, Blazquez MA, Titarenko E, Prat S (2008) A
molecular framework for light and gibberellin control of cell elongation. Nature
451: 480-484
Dereeper A, Guignon V, Blanc G, Audic S, Buffet S, Chevenet F, Dufayard JF,
Guindon S, Lefort V, Lescot M, Claverie JM, Gascuel O (2008) Phylogeny.fr:
robust phylogenetic analysis for the non-specialist. Nucleic Acids Res 36: W465469
Devlin PF, Kay SA (2000) Cryptochromes are required for phytochrome signaling to the
circadian clock but not for rhythmicity. Plant Cell 12: 2499-2510
Dixon LE, Knox K, Kozma-Bognar L, Southern MM, Pokhilko A, Millar AJ (2011)
Temporal repression of core circadian genes is mediated through EARLY
FLOWERING 3 in Arabidopsis. Curr Biol 21: 120-125
Dodd AN, Salathia N, Hall A, Kevei E, Toth R, Nagy F, Hibberd JM, Millar AJ,
Webb AA (2005) Plant circadian clocks increase photosynthesis, growth, survival,
and competitive advantage. Science 309: 630-633
Dornbusch T, Michaud O, Xenarios I, Fankhauser C (2014) Differentially phased leaf
growth and movements in Arabidopsis depend on coordinated circadian and light
regulation. Plant Cell 26: 3911-3921
Doyle MR, Davis SJ, Bastow RM, McWatters HG, Kozma-Bognar L, Nagy F, Millar
AJ, Amasino RM (2002) The ELF4 gene controls circadian rhythms and
flowering time in Arabidopsis thaliana. Nature 419: 74-77
Dunlap JC (1999) Molecular bases for circadian clocks. Cell 96: 271-290
Ekstrøm C (2016) MESS: Miscellaneous Esoteric Statistical Scripts. R package version
0.4-3. https://CRAN.R-project.org/package=MESS
Farinas B, Mas P (2011) Functional implication of the MYB transcription factor
RVE8/LCL5 in the circadian control of histone acetylation. Plant J 66: 318-329
Farre EM (2012) The regulation of plant growth by the circadian clock. Plant Biol
(Stuttg) 14: 401-410
40
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
Franklin KA, Lee SH, Patel D, Kumar SV, Spartz AK, Gu C, Ye S, Yu P, Breen G,
Cohen JD, Wigge PA, Gray WM (2011) Phytochrome-interacting factor 4
(PIF4) regulates auxin biosynthesis at high temperature. Proc Natl Acad Sci U S
A 108: 20231-20235
Fujimori T, Yamashino T, Kato T, Mizuno T (2004) Circadian-controlled basic/helixloop-helix factor, PIL6, implicated in light-signal transduction in Arabidopsis
thaliana. Plant Cell Physiol 45: 1078-1086
Gendron JM, Pruneda-Paz JL, Doherty CJ, Gross AM, Kang SE, Kay SA (2012)
Arabidopsis circadian clock protein, TOC1, is a DNA-binding transcription factor.
Proc Natl Acad Sci U S A 109: 3167-3172
Gong W, He K, Covington M, Dinesh-Kumar SP, Snyder M, Harmer SL, Zhu YX,
Deng XW (2008) The development of protein microarrays and their applications
in DNA-protein and protein-protein interaction analyses of Arabidopsis
transcription factors. Mol Plant 1: 27-41
Goodspeed D, Chehab EW, Min-Venditti A, Braam J, Covington MF (2012)
Arabidopsis synchronizes jasmonate-mediated defense with insect circadian
behavior. Proc Natl Acad Sci U S A 109: 4674-4677
Graf A, Schlereth A, Stitt M, Smith AM (2010) Circadian control of carbohydrate
availability for growth in Arabidopsis plants at night. Proc Natl Acad Sci U S A
107: 9458-9463
Green RM, Tingay S, Wang ZY, Tobin EM (2002) Circadian rhythms confer a higher
level of fitness to Arabidopsis plants. Plant Physiol 129: 576-584
Green RM, Tobin EM (1999) Loss of the circadian clock-associated protein 1 in
Arabidopsis results in altered clock-regulated gene expression. Proc Natl Acad
Sci U S A 96: 4176-4179
Green RM, Tobin EM (2002) The role of CCA1 and LHY in the plant circadian clock.
Dev Cell 2: 516-518
Harmer SL (2009) The circadian system in higher plants. Annu Rev Plant Biol 60: 357377
Harmer SL, Kay SA (2005) Positive and negative factors confer phase-specific
circadian regulation of transcription in Arabidopsis. Plant Cell 17: 1926-1940
Harmer SL, Panda S, Kay SA (2001) Molecular bases of circadian rhythms. Annu Rev
Cell Dev Biol 17: 215-253
Hazen SP, Schultz TF, Pruneda-Paz JL, Borevitz JO, Ecker JR, Kay SA (2005) LUX
ARRHYTHMO encodes a Myb domain protein essential for circadian rhythms.
Proc Natl Acad Sci U S A 102: 10387-10392
Helfer A, Nusinow DA, Chow BY, Gehrke AR, Bulyk ML, Kay SA (2011) LUX
ARRHYTHMO encodes a nighttime repressor of circadian gene expression in the
Arabidopsis core clock. Curr Biol 21: 126-133
Hicks KA, Albertson TM, Wagner DR (2001) EARLY FLOWERING3 encodes a
novel protein that regulates circadian clock function and flowering in Arabidopsis.
Plant Cell 13: 1281-1292
Horiguchi G, Fujikura U, Ferjani A, Ishikawa N, Tsukaya H (2006) Large-scale
histological analysis of leaf mutants using two simple leaf observation methods:
identification of novel genetic pathways governing the size and shape of leaves.
Plant J 48: 638-644
41
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
Hornitschek P, Kohnen MV, Lorrain S, Rougemont J, Ljung K, Lopez-Vidriero I,
Franco-Zorrilla JM, Solano R, Trevisan M, Pradervand S, Xenarios I,
Fankhauser C (2012) Phytochrome interacting factors 4 and 5 control seedling
growth in changing light conditions by directly controlling auxin signaling. Plant
J 71: 699-711
Hsu PY, Devisetty UK, Harmer SL (2013) Accurate timekeeping is controlled by a
cycling activator in Arabidopsis. Elife 2: e00473
Hsu PY, Harmer SL (2014) Wheels within wheels: the plant circadian system. Trends
Plant Sci 19: 240-249
Huang W, Perez-Garcia P, Pokhilko A, Millar AJ, Antoshechkin I, Riechmann JL,
Mas P (2012) Mapping the core of the Arabidopsis circadian clock defines the
network structure of the oscillator. Science 336: 75-79
Iijima M, Matsushita N (2011) A circadian and an ultradian rhythm are both evident in
root growth of rice. Journal of plant physiology 168: 2072-2080
Jones MA, Hu W, Litthauer S, Lagarias JC, Harmer S (2015) A Constitutively
Active Allele of Phytochrome B Maintains Circadian Robustness in the Absence
of Light. Plant Physiol
Keller MM, Jaillais Y, Pedmale UV, Moreno JE, Chory J, Ballare CL (2011)
Cryptochrome 1 and phytochrome B control shade-avoidance responses in
Arabidopsis via partially independent hormonal cascades. Plant J 67: 195-207
Koini MA, Alvey L, Allen T, Tilley CA, Harberd NP, Whitelam GC, Franklin KA
(2009) High temperature-mediated adaptations in plant architecture require the
bHLH transcription factor PIF4. Curr Biol 19: 408-413
Kumar SV, Lucyshyn D, Jaeger KE, Alos E, Alvey E, Harberd NP, Wigge PA (2012)
Transcription factor PIF4 controls the thermosensory activation of flowering.
Nature 484: 242-245
Kunihiro A, Yamashino T, Nakamichi N, Niwa Y, Nakanishi H, Mizuno T (2011)
Phytochrome-interacting factor 4 and 5 (PIF4 and PIF5) activate the homeobox
ATHB2 and auxin-inducible IAA29 genes in the coincidence mechanism
underlying photoperiodic control of plant growth of Arabidopsis thaliana. Plant
Cell Physiol 52: 1315-1329
Kuznetsova A, Brockhoff PB, Christensen RHB (2016) lmerTest: Tests in Linear
Mixed Effects Models. R package version 2.0-30. https://CRAN.Rproject.org/package=lmerTest
Lastdrager J, Hanson J, Smeekens S (2014) Sugar signals and the control of plant
growth and development. J Exp Bot 65: 799-807
Leivar P, Monte E, Oka Y, Liu T, Carle C, Castillon A, Huq E, Quail PH (2008)
Multiple phytochrome-interacting bHLH transcription factors repress premature
seedling photomorphogenesis in darkness. Curr Biol 18: 1815-1823
Leivar P, Tepperman JM, Cohn MM, Monte E, Al-Sady B, Erickson E, Quail PH
(2012) Dynamic antagonism between phytochromes and PIF family basic helixloop-helix factors induces selective reciprocal responses to light and shade in a
rapidly responsive transcriptional network in Arabidopsis. Plant Cell 24: 13981419
42
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
Liu Z, Zhang Y, Liu R, Hao H, Wang Z, Bi Y (2011) Phytochrome interacting factors
(PIFs) are essential regulators for sucrose-induced hypocotyl elongation in
Arabidopsis. J Plant Physiol 168: 1771-1779
Lorrain S, Allen T, Duek PD, Whitelam GC, Fankhauser C (2008) Phytochromemediated inhibition of shade avoidance involves degradation of growth-promoting
bHLH transcription factors. Plant J 53: 312-323
Maloof JN, Nozue K, Mumbach MR, Palmer CM (2013) LeafJ: an ImageJ plugin for
semi-automated leaf shape measurement. J Vis Exp
Martin-Tryon EL, Harmer SL (2008) XAP5 CIRCADIAN TIMEKEEPER coordinates
light signals for proper timing of photomorphogenesis and the circadian clock in
Arabidopsis. Plant Cell 20: 1244-1259
McClung CR (2014) Wheels within wheels: new transcriptional feedback loops in the
Arabidopsis circadian clock. F1000Prime Rep 6: 2
Mizoguchi T, Wheatley K, Hanzawa Y, Wright L, Mizoguchi M, Song HR, Carre IA,
Coupland G (2002) LHY and CCA1 are partially redundant genes required to
maintain circadian rhythms in Arabidopsis. Dev Cell 2: 629-641
Mizuno T, Kitayama M, Oka H, Tsubouchi M, Takayama C, Nomoto Y, Yamashino
T (2014) The EC night-time repressor plays a crucial role in modulating circadian
clock transcriptional circuitry by conservatively double-checking both warmnight and night-time-light signals in a synergistic manner in Arabidopsis thaliana.
Plant Cell Physiol 55: 2139-2151
Nagel DH, Doherty CJ, Pruneda-Paz JL, Schmitz RJ, Ecker JR, Kay SA (2015)
Genome-wide identification of CCA1 targets uncovers an expanded clock
network in Arabidopsis. Proc Natl Acad Sci U S A
Nakamichi N, Kiba T, Kamioka M, Suzuki T, Yamashino T, Higashiyama T,
Sakakibara H, Mizuno T (2012) Transcriptional repressor PRR5 directly
regulates clock-output pathways. Proc Natl Acad Sci U S A 109: 17123-17128
Nakamichi N, Kita M, Ito S, Yamashino T, Mizuno T (2005b) PSEUDO-RESPONSE
REGULATORS, PRR9, PRR7 and PRR5, together play essential roles close to
the circadian clock of Arabidopsis thaliana. Plant Cell Physiol 46: 686-698
Ni Z, Kim ED, Ha M, Lackey E, Liu J, Zhang Y, Sun Q, Chen ZJ (2009) Altered
circadian rhythms regulate growth vigour in hybrids and allopolyploids. Nature
457: 327-331
Nieto C, Lopez-Salmeron V, Daviere JM, Prat S (2015) ELF3-PIF4 interaction
regulates plant growth independently of the Evening Complex. Curr Biol 25: 187193
Nomoto Y, Kubozono S, Miyachi M, Yamashino T, Nakamichi N, Mizuno T (2012)
A circadian clock- and PIF4-mediated double coincidence mechanism is
implicated in the thermosensitive photoperiodic control of plant architectures in
Arabidopsis thaliana. Plant Cell Physiol 53: 1965-1973
Nozue K, Covington MF, Duek PD, Lorrain S, Fankhauser C, Harmer SL, Maloof
JN (2007) Rhythmic growth explained by coincidence between internal and
external cues. Nature 448: 358-361
Nozue K, Harmer SL, Maloof JN (2011) Genomic analysis of circadian clock-, light-,
and growth-correlated genes reveals PHYTOCHROME-INTERACTING
43
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
FACTOR5 as a modulator of auxin signaling in Arabidopsis. Plant Physiol 156:
357-372
Nozue K, Tat AV, Kumar Devisetty U, Robinson M, Mumbach MR, Ichihashi Y,
Lekkala S, Maloof JN (2015) Shade avoidance components and pathways in
adult plants revealed by phenotypic profiling. PLoS Genet 11: e1004953
Nusinow DA, Helfer A, Hamilton EE, King JJ, Imaizumi T, Schultz TF, Farre EM,
Kay SA (2011) The ELF4-ELF3-LUX complex links the circadian clock to
diurnal control of hypocotyl growth. Nature 475: 398-402
Perez-Garcia P, Ma Y, Yanovsky MJ, Mas P (2015) Time-dependent sequestration of
RVE8 by LNK proteins shapes the diurnal oscillation of anthocyanin biosynthesis.
Proc Natl Acad Sci U S A 112: 5249-5253
Poire R, Wiese-Klinkenberg A, Parent B, Mielewczik M, Schurr U, Tardieu F,
Walter A (2010) Diel time-courses of leaf growth in monocot and dicot species:
endogenous rhythms and temperature effects. J Exp Bot 61: 1751-1759
Pokhilko A, Fernandez AP, Edwards KD, Southern MM, Halliday KJ, Millar AJ
(2012) The clock gene circuit in Arabidopsis includes a repressilator with
additional feedback loops. Mol Syst Biol 8: 574
R Core Team R (2016) R: A Language and Environment for Statistical Computing. R
Foundation for Statistical Computing, Vienna, Austria. https://www.Rproject.org/.
Rawat R, Schwartz J, Jones MA, Sairanen I, Cheng Y, Andersson CR, Zhao Y,
Ljung K, Harmer SL (2009) REVEILLE1, a Myb-like transcription factor,
integrates the circadian clock and auxin pathways. Proc Natl Acad Sci U S A 106:
16883-16888
Rawat R, Takahashi N, Hsu PY, Jones MA, Schwartz J, Salemi MR, Phinney BS,
Harmer SL (2011) REVEILLE8 and PSEUDO-REPONSE REGULATOR5 form
a negative feedback loop within the Arabidopsis circadian clock. PLoS Genet 7:
e1001350
Rugnone ML, Faigon Soverna A, Sanchez SE, Schlaen RG, Hernando CE, Seymour
DK, Mancini E, Chernomoretz A, Weigel D, Mas P, Yanovsky MJ (2013)
LNK genes integrate light and clock signaling networks at the core of the
Arabidopsis oscillator. Proc Natl Acad Sci U S A 110: 12120-12125
Ruts T, Matsubara S, Wiese-Klinkenberg A, Walter A (2012) Aberrant temporal
growth pattern and morphology of root and shoot caused by a defective circadian
clock in Arabidopsis thaliana. Plant J 72: 154-161
Schaffer R, Ramsay N, Samach A, Corden S, Putterill J, Carre IA, Coupland G
(1998) The late elongated hypocotyl mutation of Arabidopsis disrupts circadian
rhythms and the photoperiodic control of flowering. Cell 93: 1219-1229
Seaton DD, Smith RW, Song YH, MacGregor DR, Stewart K, Steel G, Foreman J,
Penfield S, Imaizumi T, Millar AJ, Halliday KJ (2015) Linked circadian
outputs control elongation growth and flowering in response to photoperiod and
temperature. Mol Syst Biol 11: 776
Somers DE, Devlin PF, Kay SA (1998) Phytochromes and cryptochromes in the
entrainment of the Arabidopsis circadian clock. Science 282: 1488-1490
Song YH, Ito S, Imaizumi T (2013) Flowering time regulation: photoperiod- and
temperature-sensing in leaves. Trends Plant Sci 18: 575-583
44
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
Soy J, Leivar P, Gonzalez-Schain N, Martin G, Diaz C, Sentandreu M, Al-Sady B,
Quail PH, Monte E (2016) Molecular convergence of clock and photosensory
pathways through PIF3-TOC1 interaction and co-occupancy of target promoters.
Proc Natl Acad Sci U S A 113: 4870-4875
Soy J, Leivar P, Gonzalez-Schain N, Sentandreu M, Prat S, Quail PH, Monte E
(2012) Phytochrome-imposed oscillations in PIF3 protein abundance regulate
hypocotyl growth under diurnal light/dark conditions in Arabidopsis. Plant J 71:
390-401
Soy J, Leivar P, Monte E (2014) PIF1 promotes phytochrome-regulated growth under
photoperiodic conditions in Arabidopsis together with PIF3, PIF4, and PIF5. J
Exp Bot 65: 2925-2936
Stavang JA, Gallego-Bartolome J, Gomez MD, Yoshida S, Asami T, Olsen JE,
Garcia-Martinez JL, Alabadi D, Blazquez MA (2009) Hormonal regulation of
temperature-induced growth in Arabidopsis. Plant J 60: 589-601
Stewart JL, Maloof JN, Nemhauser JL (2011) PIF genes mediate the effect of sucrose
on seedling growth dynamics. PLoS One 6: e19894
Sun J, Qi L, Li Y, Chu J, Li C (2012) PIF4-mediated activation of YUCCA8 expression
integrates temperature into the auxin pathway in regulating arabidopsis hypocotyl
growth. PLoS Genet 8: e1002594
Tsuge T, Tsukaya H, Uchimiya H (1996) Two independent and polarized processes of
cell elongation regulate leaf blade expansion in Arabidopsis thaliana (L.) Heynh.
Development 122: 1589-1600
Wang CQ, Sarmast MK, Jiang J, Dehesh K (2015) The Transcriptional Regulator
BBX19 Promotes Hypocotyl Growth by Facilitating COP1-Mediated EARLY
FLOWERING3 Degradation in Arabidopsis. Plant Cell 27: 1128-1139
Wang ZY, Tobin EM (1998) Constitutive expression of the CIRCADIAN CLOCK
ASSOCIATED 1 (CCA1) gene disrupts circadian rhythms and suppresses its own
expression. Cell 93: 1207-1217
Xie Q, Wang P, Liu X, Yuan L, Wang L, Zhang C, Li Y, Xing H, Zhi L, Yue Z,
Zhao C, McClung CR, Xu X (2014) LNK1 and LNK2 are transcriptional
coactivators in the Arabidopsis circadian oscillator. Plant Cell 26: 2843-2857
Yazdanbakhsh N, Sulpice R, Graf A, Stitt M, Fisahn J (2011) Circadian control of
root elongation and C partitioning in Arabidopsis thaliana. Plant, cell &
environment 34: 877-894
Yerushalmi S, Yakir E, Green RM (2011) Circadian clocks and adaptation in
Arabidopsis. Mol Ecol 20: 1155-1165
45
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
A
29
***
Period (hrs)
28
***
***
27
26
**
25
24
23
22
Col
rve
35
B
Col
rve3 5
rve
468
rve4 6 8
rve
34568
rve3 4 5 6 8
30
Period (hrs)
28
26
24
1
10
100
fluence rate (µmol/m2/sec)
1000
1
10
100
fluence rate (µmol/m2/sec)
1000
C
30
Period (hrs)
28
26
24
Figure 1. Free-running circadian period is lengthened in rve triple and quintuple mutants.
Plants were entrained for 6d in 12 hr light:12 hr dark cycles at 22°C before release to constant light (LL) at the indicated fluence rates at 22°C. A, CCR2::LUC expression was
assayed in constant red plus blue light (86 μmol m-2 s-1 total fluence, equal contributions red
and blue light) (n=35-45). B, Fluence rate response curves for CCR2::LUC period in constant
red light (n=20-30). C, Fluence rate response curves for CCR2::LUC period in constant blue
light (n=20-30). Error bars represent SEM. ** indicates p < 0.01, *** indicates p < 0.001,
Student’s t test. Data shown are illustrative of at least two independent experiments.
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
***
A
35
***
days to bolting
30
***
25
20
15
10
5
0
Col
rve
468
***
B
leaf number at bolting
15
***
rve
34568
***
10
5
0
Col
rve
468
rve
34568
Figure 2. Flowering time is modestly delayed in rve
mutants. Plants were grown in 16 hr light:8 hr dark
cycles; bolting date was defined as the day at which the
inflorescence reached 1 cm. A, Days to bolting (n=2536); B, Rosette leaf number at bolting (n=25-36). Error
bars represent SEM. *** indicates p < 0.001, Student’s t
test. Data shown are illustrative of at least two independent experiments
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
hypocotyl length (mm)
A
12
***
4
hypocotyl length (mm)
1
10
100
12
8
***
4
***
***
long days
0
hypocotyl length (mm)
0
***
Col
rve4 6 8
rve3 4 5 6 8
short days
C
***
8
0
B
***
0
1
10
100
12
***
**
8
***
4
constant light
0
0
1
10
fluence rate (µmol/m2/sec)
100
Figure 3. Hypocotyl lengths of Col and rve mutants grown in different photoperiods.
Seedlings were grown at 22°C in white light at the indicated fluence rates for seven
days. A, Hypocotyl lengths of Col and rve mutants in 8 hr light:16 hr dark (short day,
SD) conditions (n=15-40). B, Hypocotyl lengths in 16 hr light:8 hr dark (long day, LD)
conditions (n=23-35). C, Hypocotyl lengths in constant light (LL) conditions
(n=20-40). Error bars represent SEM. ** indicates p < 0.01, *** indicates p < 0.001,
Student’s t test. Data shown are illustrative of at least two independent experiments.
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
rve3 4 5 6 8
***
C
*
E
**
**
*
80
40
0
600
500
400
300
200
leaf 8
Col
rve4 6 8
leaf 9
rve3 4 5 6 8
Col
F
45
blade length (mm)
blade area (mm 2)
700
*
dry weight (g)
120
rve
rve
468 34568
***
***
0.2
0.1
0
Col
***
***
35
30
25
leaf 8
rve4 6 8
Col
***
120
0.3
40
20
D
*
rve
rve
468 34568
leaf 9
rve3 4 5 6 8
rosette diameter
(leaves 8 & 9) (mm)
Col
***
G
***
80
40
0
Col
**
***
25
petiole length (mm)
B
rosette diameter (mm)
A
rve
rve
468 34568
***
***
20
15
10
5
leaf 8
rve4 6 8
Col
leaf 9
rve3 4 5 6 8
Figure 4. Aerial growth phenotypes of 6-wk-old wild type and rve mutants. Plants were grown in
LD cycles (55 μmol m-2 s-1 white light) for six weeks. A, Col and rve3 4 5 6 8 plants. B, Rosette
diameter measured at the greatest distance between leaves of Col, rve4 6 8, and rve3 4 5 6 8
plants (n=28-33). C, Biomass measured as total aerial dry weight (n=16-23). D, Rosette diameter measured as the distance between leaves 8 and 9 (n=28-33). E, Blade areas of leaves 8
and 9 (n=12). F, Blade lengths of leaves 8 and 9 (n=12). G, Petiole lengths of leaves 8 and 9
(n=12). Error bars represent SEM. * indicates p < 0.05, ** indicates p < 0.01, *** indicates p <
0.001, Student’s t test. Data shown are illustrative of at least two independent experiments.
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
rossette diameter
(leaves 8 & 9) (mm)
A
125
100
***
***
***
50
0
***
***
***
10
Col
20
Day
rve4 6 8
30
40
C
10000
cell area (μm2)
B
***
75
25
***
***
Col
rve4 6 8
rve3 4 5 6 8
***
7500
5000
2500
0
Col
rve
468
Figure 5. The RVEs reduce rosette growth rate and cell size. Col, rve4 6 8,
and rve3 4 5 6 8 plants were grown in LD cycles (55 μmol m-2 s-1 white
light). A, Rosette diameter measured as the distance between leaves 8 and
9 (n=28-33). Asterisks indicate significant difference between the mutants
and Col. *** indicates p < 0.001, Student’s t test. B, Size of leaf blade
mesophyll cells in six-week-old Col and rve4 6 8 plants (n=12 leaves per
genotype; n=20-40 cells per leaf). Images were taken at 20X magnification
with Zeiss Axioscop 2 plus microscope. Scale bar represents 100 μm. C,
Quantification of mesophyll cell area. Error bars represent SEM. *** indicates p < 0.001, Student’s t test; N.S., not significant. Data shown are
illustrative of at least two independent experiments.
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
hypocotyl length (mm)
A
5
4
3
2
1
% growth compared to no sucrose
B
Col
rve4 6 8
rve3 4 5 6 8
0
2
4
sucrose concentration (%)
200
***
**
***
Col
rve4 6 8
rve3 4 5 6 8
180
N.S.
160
N.S.
140
***
***
***
***
6
N.S.
***
***
***
***
N.S.
120
100
0.5
1
2
% sucrose (w/v)
3
6
Figure 6. The RVEs repress growth responses to sucrose. A, Hypocotyl lengths
of 6d-old seedlings grown in 12 hr light:12 hr dark cycles (55 μmol m-2 s-1 white
light) at 22°C (n=28-47) with the indicated concentrations of sucrose in the
media. B, As above, but hypocotyl lengths were normalized within each genotype so that the 0% sucrose control = 100%. *** indicates p < 0.001, N.S., not
significant, Student’s t test.
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
4.0
Col
rve468
B
LL
PIF5 expression
PIF4 expression
A
1.0
0.2
4.0
2.0
1.0
0.5
0.2
0.1
32 36 40 44 48 52 56 60 64 68
4.0
D
LD
1.0
PIF5 expression
PIF4 expression
C
32 36 40 44 48 52 56 60 64 68
0.2
0.1
4.0
2.0
1.0
0.5
0.2
0.1
12 16 20
15
45
10
40
35
*
5
30
0
D
-S
-S
rv
e4
68
D
-L
D
25
ol
-S
D
D
-S
rv
e4
68
D
ol
-L
68
e4
rv
C
L
-L
C
ol
-L
-L
68
rv
e4
ol
D
0
L
25
N.S.
**
C
30
50
D
5
***
12 16 20
68
35
8
e4
40
4
rv
10
0
PIF5 expression, night
*
**
45
C
Time (hours)
H
12 16 20
0.2
0.1
15
50
8
0.5
L
12 16 20
1.0
-L
8
2.0
ol
4
4.0
L
0
12 16 20
-L
12 16 20
8
-L
0.2
4
C
0.5
0
68
PIF5 expression
1.0
12 16 20
e4
F
SD
8
rv
8
PIF4 expression, night
PIF4 expression,
constant light
4
2.0
8
G
0
ol
12 16 20
PIF5 expression,
constant light
PIF4 expression
E
8
C
0.0
Figure 7. PIF4 and PIF5 expression is elevated in rve4 6 8 mutants. A – F, Time course of PIF4
and PIF5 expression. Seedlings were grown in (A, B) 12 hr light:12 hr dark cycles at 25 μmol m-2 s-1
white light for 6d before transfer to LL at the same fluence rate, (C, D) LD, or (E, F) SD cycles under
25 μmol m-2 s-1 white light. A, C, E, PIF4 and B, D, F, PIF5 expression normalized relative to PP2a.
Times represent hours since the last transition from dark to light; error bars represent SEM of two
independent biological replicates. G, H, Expression of PIF4 (G) or PIF5 (H) integrated across the
entire LL time series (left y-axes) or during the dark portions of the LD and SD time series (right
y-axes) computed as the area under the curve. Error bars represent range of values across two
independent time course experiments. *** indicates p < 0.001, ** indicates p < 0.005, and * indicates
p < 0.05, linear mixed effect model with genotype as a fixed and replicate as a random effect; N.S.,
not significant.
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
B
8
rve468
pif45
pif45
rve468
constant light
E
Col
p < 2e-16
6
p = 0.03
4
2
rve468
pif45
pif45
rve468
p = 8e-6
F
blade area (mm2)
Col
hypocotyl length (mm)
A
200
p = 0.4
150
100
0
8
long days
p < 2e-16
6
p = 0.002
4
p = 5e-5
G
22
blade length (mm)
hypocotyl length (mm)
C
2
p < 2e-16
short days
p < 2e-16
10
5
0
Col
rve468
pif45
pif45
rve468
H
18
16
14
20
petiole length (mm)
hypocotyl length (mm)
15
p = 0.2
12
0
D
20
p = 1e-9
15
p = 0.07
10
5
Col
rve468
pif45
pif45
rve468
Figure 8. The PIFs are epistatic to the RVEs at both seedling and adult stages of development.
A, Seedlings were grown in LL at 7.5 μmol m-2 s-1 (white light) for 6d at 22°C. B, Quantification of
hypocotyl length of plants grown as in (A) (n=68-80). C –D, Seedlings were grown in LD (C) or
SD (D) at 25 μmol m-2 s-1 (white light) on media containing 3% sucrose for 6d at 22°C and hypocotyl length measured (n= 72-92). E-H, Col, rve4 6 8, pif4 5, and rve4 6 8; pif4 5 plants were grown
in LD cycles (55 μmol m-2 s-1) for 3 weeks. E, 3-wk-old plants. F, Leaf 5 blade area, G, blade
length, and H, petiole length of indicated genotypes of 3-wk-old plants (n=12). Lines within the
box-and-whisker plots represent the medians; whiskers and outliers plotted with the Tukey
method. Significance is indicated as determined by linear mixed effect model with genotype as a
fixed and replicate as a random effect. Error bars represent SEM. Data shown are illustrative of
at least two independent experiments.
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
Parsed Citations
Alabadi D, Yanovsky MJ, Mas P, Harmer SL, Kay SA (2002) Critical role for CCA1 and LHY in maintaining circadian rhythmicity in
Arabidopsis. Curr Biol 12: 757-761
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Aschoff J (1960) Exogenous and endogenous components in circadian rhythms. Cold Spring Harb Symp Quant Biol 25: 11-28
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Bates D, Maechler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67: 1-48
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Bendix C, Marshall CM, Harmon FG (2015) Circadian Clock Genes Universally Control Key Agricultural Traits. Mol Plant 8: 11351152
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Chen ZJ (2010) Molecular mechanisms of polyploidy and hybrid vigor. Trends Plant Sci 15: 57-71
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Covington MF, Maloof JN, Straume M, Kay SA, Harmer SL (2008) Global transcriptome analysis reveals circadian regulation of key
pathways in plant growth and development. Genome Biol 9: R130
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
de Lucas M, Daviere JM, Rodriguez-Falcon M, Pontin M, Iglesias-Pedraz JM, Lorrain S, Fankhauser C, Blazquez MA, Titarenko E,
Prat S (2008) A molecular framework for light and gibberellin control of cell elongation. Nature 451: 480-484
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Dereeper A, Guignon V, Blanc G, Audic S, Buffet S, Chevenet F, Dufayard JF, Guindon S, Lefort V, Lescot M, Claverie JM, Gascuel
O (2008) Phylogeny.fr: robust phylogenetic analysis for the non-specialist. Nucleic Acids Res 36: W465-469
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Devlin PF, Kay SA (2000) Cryptochromes are required for phytochrome signaling to the circadian clock but not for rhythmicity.
Plant Cell 12: 2499-2510
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Dixon LE, Knox K, Kozma-Bognar L, Southern MM, Pokhilko A, Millar AJ (2011) Temporal repression of core circadian genes is
mediated through EARLY FLOWERING 3 in Arabidopsis. Curr Biol 21: 120-125
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Dodd AN, Salathia N, Hall A, Kevei E, Toth R, Nagy F, Hibberd JM, Millar AJ, Webb AA (2005) Plant circadian clocks increase
photosynthesis, growth, survival, and competitive advantage. Science 309: 630-633
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Dornbusch T, Michaud O, Xenarios I, Fankhauser C (2014) Differentially phased leaf growth and movements in Arabidopsis depend
on coordinated circadian and light regulation. Plant Cell 26: 3911-3921
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Doyle MR, Davis SJ, Bastow RM, McWatters HG, Kozma-Bognar L, Nagy F, Millar AJ, Amasino RM (2002) The ELF4 gene controls
circadian rhythms and flowering time in Arabidopsis thaliana. Nature 419: 74-77
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Dunlap JC (1999) Molecular bases for circadian clocks. Cell 96: 271-290
Pubmed: Author and Title
CrossRef: Author and Title
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
Google Scholar: Author Only Title Only Author and Title
Ekstrøm C (2016) MESS: Miscellaneous Esoteric Statistical Scripts. R package version 0.4-3. https://CRAN.Rproject.org/package=MESS
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Farinas B, Mas P (2011) Functional implication of the MYB transcription factor RVE8/LCL5 in the circadian control of histone
acetylation. Plant J 66: 318-329
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Farre EM (2012) The regulation of plant growth by the circadian clock. Plant Biol (Stuttg) 14: 401-410
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Franklin KA, Lee SH, Patel D, Kumar SV, Spartz AK, Gu C, Ye S, Yu P, Breen G, Cohen JD, Wigge PA, Gray WM (2011)
Phytochrome-interacting factor 4 (PIF4) regulates auxin biosynthesis at high temperature. Proc Natl Acad Sci U S A 108: 2023120235
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Fujimori T, Yamashino T, Kato T, Mizuno T (2004) Circadian-controlled basic/helix-loop-helix factor, PIL6, implicated in light-signal
transduction in Arabidopsis thaliana. Plant Cell Physiol 45: 1078-1086
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Gendron JM, Pruneda-Paz JL, Doherty CJ, Gross AM, Kang SE, Kay SA (2012) Arabidopsis circadian clock protein, TOC1, is a DNAbinding transcription factor. Proc Natl Acad Sci U S A 109: 3167-3172
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Gong W, He K, Covington M, Dinesh-Kumar SP, Snyder M, Harmer SL, Zhu YX, Deng XW (2008) The development of protein
microarrays and their applications in DNA-protein and protein-protein interaction analyses of Arabidopsis transcription factors. Mol
Plant 1: 27-41
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Goodspeed D, Chehab EW, Min-Venditti A, Braam J, Covington MF (2012) Arabidopsis synchronizes jasmonate-mediated defense
with insect circadian behavior. Proc Natl Acad Sci U S A 109: 4674-4677
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Graf A, Schlereth A, Stitt M, Smith AM (2010) Circadian control of carbohydrate availability for growth in Arabidopsis plants at night.
Proc Natl Acad Sci U S A 107: 9458-9463
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Green RM, Tingay S, Wang ZY, Tobin EM (2002) Circadian rhythms confer a higher level of fitness to Arabidopsis plants. Plant
Physiol 129: 576-584
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Green RM, Tobin EM (1999) Loss of the circadian clock-associated protein 1 in Arabidopsis results in altered clock-regulated gene
expression. Proc Natl Acad Sci U S A 96: 4176-4179
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Green RM, Tobin EM (2002) The role of CCA1 and LHY in the plant circadian clock. Dev Cell 2: 516-518
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Harmer SL (2009) The circadian system in higher plants. Annu Rev Plant Biol 60: 357-377
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Harmer SL, Kay SA (2005) Positive and negative factors confer phase-specific circadian regulation of transcription in Arabidopsis.
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Plant Cell 17: 1926-1940
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Harmer SL, Panda S, Kay SA (2001) Molecular bases of circadian rhythms. Annu Rev Cell Dev Biol 17: 215-253
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Hazen SP, Schultz TF, Pruneda-Paz JL, Borevitz JO, Ecker JR, Kay SA (2005) LUX ARRHYTHMO encodes a Myb domain protein
essential for circadian rhythms. Proc Natl Acad Sci U S A 102: 10387-10392
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Helfer A, Nusinow DA, Chow BY, Gehrke AR, Bulyk ML, Kay SA (2011) LUX ARRHYTHMO encodes a nighttime repressor of
circadian gene expression in the Arabidopsis core clock. Curr Biol 21: 126-133
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Hicks KA, Albertson TM, Wagner DR (2001) EARLY FLOWERING3 encodes a novel protein that regulates circadian clock function
and flowering in Arabidopsis. Plant Cell 13: 1281-1292
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Horiguchi G, Fujikura U, Ferjani A, Ishikawa N, Tsukaya H (2006) Large-scale histological analysis of leaf mutants using two simple
leaf observation methods: identification of novel genetic pathways governing the size and shape of leaves. Plant J 48: 638-644
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Hornitschek P, Kohnen MV, Lorrain S, Rougemont J, Ljung K, Lopez-Vidriero I, Franco-Zorrilla JM, Solano R, Trevisan M,
Pradervand S, Xenarios I, Fankhauser C (2012) Phytochrome interacting factors 4 and 5 control seedling growth in changing light
conditions by directly controlling auxin signaling. Plant J 71: 699-711
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Hsu PY, Devisetty UK, Harmer SL (2013) Accurate timekeeping is controlled by a cycling activator in Arabidopsis. Elife 2: e00473
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Hsu PY, Harmer SL (2014) Wheels within wheels: the plant circadian system. Trends Plant Sci 19: 240-249
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Huang W, Perez-Garcia P, Pokhilko A, Millar AJ, Antoshechkin I, Riechmann JL, Mas P (2012) Mapping the core of the Arabidopsis
circadian clock defines the network structure of the oscillator. Science 336: 75-79
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Iijima M, Matsushita N (2011) A circadian and an ultradian rhythm are both evident in root growth of rice. Journal of plant
physiology 168: 2072-2080
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Jones MA, Hu W, Litthauer S, Lagarias JC, Harmer S (2015) A Constitutively Active Allele of Phytochrome B Maintains Circadian
Robustness in the Absence of Light. Plant Physiol
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Keller MM, Jaillais Y, Pedmale UV, Moreno JE, Chory J, Ballare CL (2011) Cryptochrome 1 and phytochrome B control shadeavoidance responses in Arabidopsis via partially independent hormonal cascades. Plant J 67: 195-207
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Koini MA, Alvey L, Allen T, Tilley CA, Harberd NP, Whitelam GC, Franklin KA (2009) High temperature-mediated adaptations in plant
architecture require the bHLH transcription factor PIF4. Curr Biol 19: 408-413
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Kumar SV, Lucyshyn D, Jaeger KE, Alos
E, Alveyfrom
E, Harberd
NP,2017
Wigge
PA (2012)
Transcription factor PIF4 controls the
Downloaded
on June 17,
- Published
by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
thermosensory activation of flowering. Nature 484: 242-245
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Kunihiro A, Yamashino T, Nakamichi N, Niwa Y, Nakanishi H, Mizuno T (2011) Phytochrome-interacting factor 4 and 5 (PIF4 and
PIF5) activate the homeobox ATHB2 and auxin-inducible IAA29 genes in the coincidence mechanism underlying photoperiodic
control of plant growth of Arabidopsis thaliana. Plant Cell Physiol 52: 1315-1329
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Kuznetsova A, Brockhoff PB, Christensen RHB (2016) lmerTest: Tests in Linear Mixed Effects Models. R package version 2.0-30.
https://CRAN.R-project.org/package=lmerTest
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Lastdrager J, Hanson J, Smeekens S (2014) Sugar signals and the control of plant growth and development. J Exp Bot 65: 799-807
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Leivar P, Monte E, Oka Y, Liu T, Carle C, Castillon A, Huq E, Quail PH (2008) Multiple phytochrome-interacting bHLH transcription
factors repress premature seedling photomorphogenesis in darkness. Curr Biol 18: 1815-1823
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Leivar P, Tepperman JM, Cohn MM, Monte E, Al-Sady B, Erickson E, Quail PH (2012) Dynamic antagonism between phytochromes
and PIF family basic helix-loop-helix factors induces selective reciprocal responses to light and shade in a rapidly responsive
transcriptional network in Arabidopsis. Plant Cell 24: 1398-1419
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Liu Z, Zhang Y, Liu R, Hao H, Wang Z, Bi Y (2011) Phytochrome interacting factors (PIFs) are essential regulators for sucroseinduced hypocotyl elongation in Arabidopsis. J Plant Physiol 168: 1771-1779
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Lorrain S, Allen T, Duek PD, Whitelam GC, Fankhauser C (2008) Phytochrome-mediated inhibition of shade avoidance involves
degradation of growth-promoting bHLH transcription factors. Plant J 53: 312-323
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Maloof JN, Nozue K, Mumbach MR, Palmer CM (2013) LeafJ: an ImageJ plugin for semi-automated leaf shape measurement. J Vis
Exp
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Martin-Tryon EL, Harmer SL (2008) XAP5 CIRCADIAN TIMEKEEPER coordinates light signals for proper timing of
photomorphogenesis and the circadian clock in Arabidopsis. Plant Cell 20: 1244-1259
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
McClung CR (2014) Wheels within wheels: new transcriptional feedback loops in the Arabidopsis circadian clock. F1000Prime Rep
6: 2
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Mizoguchi T, Wheatley K, Hanzawa Y, Wright L, Mizoguchi M, Song HR, Carre IA, Coupland G (2002) LHY and CCA1 are partially
redundant genes required to maintain circadian rhythms in Arabidopsis. Dev Cell 2: 629-641
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Mizuno T, Kitayama M, Oka H, Tsubouchi M, Takayama C, Nomoto Y, Yamashino T (2014) The EC night-time repressor plays a
crucial role in modulating circadian clock transcriptional circuitry by conservatively double-checking both warm-night and nighttime-light signals in a synergistic manner in Arabidopsis thaliana. Plant Cell Physiol 55: 2139-2151
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Nagel DH, Doherty CJ, Pruneda-Paz JL, Schmitz RJ, Ecker JR, Kay SA (2015) Genome-wide identification of CCA1 targets
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
uncovers an expanded clock network in Arabidopsis. Proc Natl Acad Sci U S A
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Nakamichi N, Kiba T, Kamioka M, Suzuki T, Yamashino T, Higashiyama T, Sakakibara H, Mizuno T (2012) Transcriptional repressor
PRR5 directly regulates clock-output pathways. Proc Natl Acad Sci U S A 109: 17123-17128
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Nakamichi N, Kita M, Ito S, Yamashino T, Mizuno T (2005b) PSEUDO-RESPONSE REGULATORS, PRR9, PRR7 and PRR5, together
play essential roles close to the circadian clock of Arabidopsis thaliana. Plant Cell Physiol 46: 686-698
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Ni Z, Kim ED, Ha M, Lackey E, Liu J, Zhang Y, Sun Q, Chen ZJ (2009) Altered circadian rhythms regulate growth vigour in hybrids
and allopolyploids. Nature 457: 327-331
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Nieto C, Lopez-Salmeron V, Daviere JM, Prat S (2015) ELF3-PIF4 interaction regulates plant growth independently of the Evening
Complex. Curr Biol 25: 187-193
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Nomoto Y, Kubozono S, Miyachi M, Yamashino T, Nakamichi N, Mizuno T (2012) A circadian clock- and PIF4-mediated double
coincidence mechanism is implicated in the thermosensitive photoperiodic control of plant architectures in Arabidopsis thaliana.
Plant Cell Physiol 53: 1965-1973
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Nozue K, Covington MF, Duek PD, Lorrain S, Fankhauser C, Harmer SL, Maloof JN (2007) Rhythmic growth explained by
coincidence between internal and external cues. Nature 448: 358-361
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Nozue K, Harmer SL, Maloof JN (2011) Genomic analysis of circadian clock-, light-, and growth-correlated genes reveals
PHYTOCHROME-INTERACTING FACTOR5 as a modulator of auxin signaling in Arabidopsis. Plant Physiol 156: 357-372
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Nozue K, Tat AV, Kumar Devisetty U, Robinson M, Mumbach MR, Ichihashi Y, Lekkala S, Maloof JN (2015) Shade avoidance
components and pathways in adult plants revealed by phenotypic profiling. PLoS Genet 11: e1004953
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Nusinow DA, Helfer A, Hamilton EE, King JJ, Imaizumi T, Schultz TF, Farre EM, Kay SA (2011) The ELF4-ELF3-LUX complex links
the circadian clock to diurnal control of hypocotyl growth. Nature 475: 398-402
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Perez-Garcia P, Ma Y, Yanovsky MJ, Mas P (2015) Time-dependent sequestration of RVE8 by LNK proteins shapes the diurnal
oscillation of anthocyanin biosynthesis. Proc Natl Acad Sci U S A 112: 5249-5253
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Poire R, Wiese-Klinkenberg A, Parent B, Mielewczik M, Schurr U, Tardieu F, Walter A (2010) Diel time-courses of leaf growth in
monocot and dicot species: endogenous rhythms and temperature effects. J Exp Bot 61: 1751-1759
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Pokhilko A, Fernandez AP, Edwards KD, Southern MM, Halliday KJ, Millar AJ (2012) The clock gene circuit in Arabidopsis includes
a repressilator with additional feedback loops. Mol Syst Biol 8: 574
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
R Core Team R (2016) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna,
Austria. https://www.R-project.org/.
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Rawat R, Schwartz J, Jones MA, Sairanen I, Cheng Y, Andersson CR, Zhao Y, Ljung K, Harmer SL (2009) REVEILLE1, a Myb-like
transcription factor, integrates the circadian clock and auxin pathways. Proc Natl Acad Sci U S A 106: 16883-16888
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Rawat R, Takahashi N, Hsu PY, Jones MA, Schwartz J, Salemi MR, Phinney BS, Harmer SL (2011) REVEILLE8 and PSEUDOREPONSE REGULATOR5 form a negative feedback loop within the Arabidopsis circadian clock. PLoS Genet 7: e1001350
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Rugnone ML, Faigon Soverna A, Sanchez SE, Schlaen RG, Hernando CE, Seymour DK, Mancini E, Chernomoretz A, Weigel D, Mas
P, Yanovsky MJ (2013) LNK genes integrate light and clock signaling networks at the core of the Arabidopsis oscillator. Proc Natl
Acad Sci U S A 110: 12120-12125
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Ruts T, Matsubara S, Wiese-Klinkenberg A, Walter A (2012) Aberrant temporal growth pattern and morphology of root and shoot
caused by a defective circadian clock in Arabidopsis thaliana. Plant J 72: 154-161
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Schaffer R, Ramsay N, Samach A, Corden S, Putterill J, Carre IA, Coupland G (1998) The late elongated hypocotyl mutation of
Arabidopsis disrupts circadian rhythms and the photoperiodic control of flowering. Cell 93: 1219-1229
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Seaton DD, Smith RW, Song YH, MacGregor DR, Stewart K, Steel G, Foreman J, Penfield S, Imaizumi T, Millar AJ, Halliday KJ
(2015) Linked circadian outputs control elongation growth and flowering in response to photoperiod and temperature. Mol Syst
Biol 11: 776
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Somers DE, Devlin PF, Kay SA (1998) Phytochromes and cryptochromes in the entrainment of the Arabidopsis circadian clock.
Science 282: 1488-1490
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Song YH, Ito S, Imaizumi T (2013) Flowering time regulation: photoperiod- and temperature-sensing in leaves. Trends Plant Sci 18:
575-583
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Soy J, Leivar P, Gonzalez-Schain N, Martin G, Diaz C, Sentandreu M, Al-Sady B, Quail PH, Monte E (2016) Molecular convergence
of clock and photosensory pathways through PIF3-TOC1 interaction and co-occupancy of target promoters. Proc Natl Acad Sci U S
A 113: 4870-4875
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Soy J, Leivar P, Gonzalez-Schain N, Sentandreu M, Prat S, Quail PH, Monte E (2012) Phytochrome-imposed oscillations in PIF3
protein abundance regulate hypocotyl growth under diurnal light/dark conditions in Arabidopsis. Plant J 71: 390-401
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Soy J, Leivar P, Monte E (2014) PIF1 promotes phytochrome-regulated growth under photoperiodic conditions in Arabidopsis
together with PIF3, PIF4, and PIF5. J Exp Bot 65: 2925-2936
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Stavang JA, Gallego-Bartolome J, Gomez MD, Yoshida S, Asami T, Olsen JE, Garcia-Martinez JL, Alabadi D, Blazquez MA (2009)
Hormonal regulation of temperature-induced growth in Arabidopsis. Plant J 60: 589-601
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Stewart JL, Maloof JN, Nemhauser JL (2011) PIF genes mediate the effect of sucrose on seedling growth dynamics. PLoS One 6:
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.
e19894
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Sun J, Qi L, Li Y, Chu J, Li C (2012) PIF4-mediated activation of YUCCA8 expression integrates temperature into the auxin pathway
in regulating arabidopsis hypocotyl growth. PLoS Genet 8: e1002594
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Tsuge T, Tsukaya H, Uchimiya H (1996) Two independent and polarized processes of cell elongation regulate leaf blade expansion
in Arabidopsis thaliana (L.) Heynh. Development 122: 1589-1600
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Wang CQ, Sarmast MK, Jiang J, Dehesh K (2015) The Transcriptional Regulator BBX19 Promotes Hypocotyl Growth by Facilitating
COP1-Mediated EARLY FLOWERING3 Degradation in Arabidopsis. Plant Cell 27: 1128-1139
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Wang ZY, Tobin EM (1998) Constitutive expression of the CIRCADIAN CLOCK ASSOCIATED 1 (CCA1) gene disrupts circadian
rhythms and suppresses its own expression. Cell 93: 1207-1217
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Xie Q, Wang P, Liu X, Yuan L, Wang L, Zhang C, Li Y, Xing H, Zhi L, Yue Z, Zhao C, McClung CR, Xu X (2014) LNK1 and LNK2 are
transcriptional coactivators in the Arabidopsis circadian oscillator. Plant Cell 26: 2843-2857
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Yazdanbakhsh N, Sulpice R, Graf A, Stitt M, Fisahn J (2011) Circadian control of root elongation and C partitioning in Arabidopsis
thaliana. Plant, cell & environment 34: 877-894
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Yerushalmi S, Yakir E, Green RM (2011) Circadian clocks and adaptation in Arabidopsis. Mol Ecol 20: 1155-1165
Pubmed: Author and Title
CrossRef: Author and Title
Google Scholar: Author Only Title Only Author and Title
Downloaded from on June 17, 2017 - Published by www.plantphysiol.org
Copyright © 2017 American Society of Plant Biologists. All rights reserved.