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Transcript
1
No effects of Epichloë endophyte infection on nitrogen cycling in meadow
2
fescue (Schedonorus pratensis) grassland
3
4
Juha Mikola 1, Marjo Helander 2,3, Kari Saikkonen 3
5
6
1
7
Finland
8
2
Section of Ecology, Department of Biology, University of Turku, 20014 Turku, Finland
9
3
Management and Production of Renewable Resources, Natural Resources Institute Finland
10
11
Department of Environmental Sciences, University of Helsinki, Niemenkatu 73, 15140 Lahti,
(Luke), Itäinen Pitkäkatu 3, 20520 Turku, Finland
12
Abstract
13
Background and aims Systemic Epichloë endophytes produce alkaloids that protect their grass
14
hosts against pathogens and herbivores. These alkaloids, together with other endophyte induced
15
changes in litter quality, may decelerate the decomposition of infected grass litter, but so far no
16
study has tested whether the effects on decomposition rate translate into changes in N cycling in
17
infected grasslands. Here we test if the Epichloë uncinata infection of meadow fescue, Schedonorus
18
pratensis decelerates litter decomposition and N release, increases soil C and N accumulation and
19
lowers the availability of mineral N in the soil under infected grass.
20
Methods To analyze grass litter and soil attributes, samples were collected from endophyte
21
infected (E+) and non-infected (E-) field plots, established seven years earlier. At the time of the
22
study, the frequency of E+ plants was 80-90 % and 0-3 % in the E+ and E- plots, respectively.
23
Litter decomposition rate and litter N release were examined using litter mesh bags, placed on field
24
ground. Soil mineral N availability was estimated using ion exchange resin bags that were buried in
25
the soil.
26
Results Epichloë uncinata infection did not affect meadow fescue litter N%, litter mass loss or
27
litter N release. Neither did soil C and N content and resin NH4 and NO3 contents differ between the
28
E+ and E- grass plots. E+ litter did not decompose faster in E+ than E- plots, i.e. no home-field
29
advantage was observed.
30
Conclusions We did not find evidence that Epichloë uncinata infection would decelerate N cycling
31
and reduce N mineralization in meadow fescue grasslands. This suggests that the infection may not
32
decrease the benefit of the endophyte-grass symbiosis by reducing soil fertility.
33
34
Keywords Epichloë uncinata, soil, plant litter, decomposition, systemic endophyte, mineralization,
35
symbiosis.
36
Introduction
37
Plant litter decomposition and nutrient mineralization are fundamental processes in all ecosystems.
38
A great share of the variation in these processes within and among ecosystems can be explained by
39
plant trait variation (Wardle 2002). Due to the adaptation of plants and their foliage to different
40
habitats, plant species differ in the quality of leaf litter they produce and such differences can have
41
significant consequences on litter decomposition and nutrient cycling in terrestrial ecosystems
42
(Hobbie 1992, Wardle et al. 1997). Significant intra-specific genetic variation has also been shown
43
to exist in both woody (Madritch et al. 2006, Silfver et al. 2007) and herbaceous species (Crutsinger
44
et al. 2009), which allows natural selection to drive litter decomposition through the effects on
45
foliage traits in plant populations (Whitham et al. 2006). Much of the interspecific variation in plant
46
traits and litter quality is due to plant adaptation to trophic interactions (Wardle 2002), but
47
interactions can also modify litter quality in the ecological time scale. For instance, herbivore
48
feeding can induce secondary metabolite production in plant leaves (Nykänen and Koricheva 2004)
49
and because these metabolites can remain through leaf senescence and reduce litter decomposition
50
rate (Findlay et al. 1996, Schweitzer et al. 2005), herbivore-induced changes in green leaf chemistry
51
can have after-life effects on litter decomposition. Although all herbivore effects on litter
52
decomposition are not explainable by induced production of secondary metabolites (Silfver et al.
53
2015) and the effects can vary across plant genotypes (Schweitzer et al. 2005, Silfver et al. 2015),
54
these effects show how organisms that interact with live plants can significantly contribute to plant
55
litter decomposition.
56
Like the herbivores, foliar endophytes can modify plant green leaf chemistry (Huitu et al.
57
2014). The systemic Epichloë endophytes (including the fungi earlier classified in Neotyphodium;
58
Leuchtmann et al. 2014), which as common among the cool season Poaceae grasses (subfamily
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Pooideae) (Schardl et al. 2011), are particularly well known for their abundant production of
60
alkaloids (Lehtonen et al. 2005, Saikkonen et al. 2013a) that protect their grass hosts against
61
pathogens and herbivores (Clay 1988, Clay and Schardl 2002). Like the secondary metabolites of
62
plant leaves, these alkaloids remain in senescent grass leaves (Siegrist et al. 2010) and are therefore
63
assumed to have effects on litter decomposition and nutrient cycling (Saikkonen et al. 2015). There
64
are few studies that have examined the effects of Epichloë infection on grass litter decomposition,
65
but so far all published studies have found a weak, negative effect on litter mass loss (Omacini et al.
66
2004, Lemons et al. 2005, Siegrist et al. 2010). There is also evidence of lower microbial activity
67
and accumulation of organic matter under endophyte infected grass (Franzluebbers et al. 1999).
68
These effects are assumed to be due to the alkaloids having adverse effects on soil decomposers
69
(Franzluebbers et al. 1999), but this assumption has also been questioned in a study, where high
70
alkaloid concentrations of green grass leaves had only a small negative effect on leaf decomposition
71
in comparison to green leaves with no alkaloids (Siegrist et al. 2010). Further investigations of the
72
effects of Epichloë infection on grass litter decomposition are therefore needed (Omacini et al.
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2012), and so far no study has tested whether the Epichloë effects on litter mass loss translate to
74
changes in nutrient cycling in plant communities with Epichloë infected grasses. These effects
75
might be particularly interesting as the symbiotic interaction between the grass and its endophyte
76
fungus appears to be mutualistic in fertile soils only (Saikkonen et al. 2006). The Epichloë fungi are
77
commonly considered as strong plant mutualists as their fitness depends on host fitness and the
78
fungi can significantly increase the vigor, environmental tolerance and pathogen and herbivore
79
resistance of the host (Clay 1988, Clay and Schardl 2002, Saikkonen et al. 2004, 2010). However, if
80
the endophyte infection could significantly decrease nutrient return from grass litter, the fertility of
81
the soil along with the benefits of the infection might decrease to the level, where selection would
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start acting against the infection. It should be noted though that any effects of litter quality on litter
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nutrient release can quickly vanish if the decomposer communities are able to adapt to the
84
chemistry of the litter. In such case, the ability of local decomposer communities to degrade litters
85
of different quality would not differ, a phenomenon called a home-field advantage (Austin et al.
86
2014). Home-field advantage has been shown to evolve under different plant species (Vivanco and
87
Austin 2008) and plant genotypes (Madritch and Lindroth 2011), and the faster decomposition of
88
Epichloë infected litter in infected than non-infected tall fescue plots (Lemons et al. 2005) suggests
89
that this phenomenon can also be induced by the chemistry of endophyte-infected litter.
90
Here we report results from a study, where we examined the effects of the systemic Epichloë
91
uncinata endophyte on grassland nitrogen (N) cycling in infected (E+) and non-infected (E-)
92
meadow fescue, Schedonorus pratensis (ex. Lolium pratense and Festuca pratensis) field plots.
93
Meadow fescue is a widely used perennial forage grass in Nordic countries, but also grows in
94
meadows, roadsides and wastelands (Hämet-Ahti et al., 1988). Both agricultural and wild
95
populations are often colonized by E. uncinata, a heritable systemic fungus, which grows
96
asymptomatically throughout the plant and is transmitted to new plant generations in plant seed
97
(Saikkonen et al. 1998, Cheplick and Faeth 2009, Leuchtmann et al. 2014). Epichloë uncinata is
98
known to produce loline alkaloids and their derivatives (Lehtonen et al. 2005). These appear to be
99
non-toxic to large mammal herbivores (Clay and Schardl 2002), but can be noxious to invertebrates
100
and small vertebrates (Conover 2003, Saikkonen et al. 2006, Huitu et al. 2008). Infected plants also
101
have higher silicon concentration than uninfected plants (Huitu et al. 2014), but whether the
102
differences in leaf chemistry affect litter decomposition and N cycling in meadow fescue grasslands
103
has not earlier been investigated. Based on the earlier findings of reduced litter mass loss in
104
Epichloë infected Italian ryegrass, Lolium multiflorum (Omacini et al. 2004) and tall fescue,
105
Schedonorus arundinaceus (syn. Festuca arundinacea and Lolium arundinaceum) (Lemons et al.
106
2005, Siegrist et al. 2010), we hypothesized that (1) E. uncinata infection will decelerate the
107
decomposition rate of meadow fescue shoot litter, and as a result, (2) more organic C and N will
108
accumulate in the soil in E+ than E- plots (Franzluebbers et al. 1999), (3) less N will be released
109
from E+ than E- litter and (4) less mineralized N (NH4 and NO3) will be available in the soil under
110
E+ than E- plants. However, since microbial communities can express home field advantage
111
(Austin et al. 2014), we also predicted that the mass loss and N release of E+ litter would be higher
112
in the E+ than E- plots. Finally, since the Epichloë infected grass often grow more vigorously than
113
non-infected grass (Clay 1998), we followed soil temperature in our E+ and E- plots to assess the
114
possibility that (6) any observed effects of E. uncinata infection on litter decomposition and N
115
cycling could simply be explained by differences in the degree of shade and soil temperature
116
between the E+ and E- plots.
117
118
Materials and methods
119
Experimental site and endophyte treatment
120
The experiment was conducted in Jokioinen, South-West Finland (60° 49´ N, 23° 30´ E) in an old
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agricultural field, which was tilled and fertilized with cow manure (30 000 kg ha-1). Twenty metal
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fenced enclosures (25 m × 39 m) were established in May 2006: ten of the enclosures (later called
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plots) were sown with endophyte-free (E-; 0% endophyte frequency) and another ten with
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endophyte infected (E+; 79% infection frequency) seeds of the meadow fescue (Schedonorus
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pratensis) cultivar ‘Kasper’ (20 kg seeds ha-1). The E+ and E- treatments were randomly assigned
126
to 10 plot pairs (used as replicate blocks in statistical analyses). The seeds were obtained from seed
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production farms via the Finnish Food Safety Authority (EVIRA, Seed Certification Unit, Loimaa,
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Finland). In June 2007, the plots were fertilized with a commercial fertilizer (16:9:22 N:P:K with
129
micronutrients; Kemira, product number 0647334). In 2012, six years after establishment, the
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frequency of E+ plants was 80-90 % and 0-3 % in the E+ and E- plots, respectively, and the aerial
131
cover of meadow fescue had decreased from 100 % to 75% in E− and 98% in E+ plots due to weed
132
invasion (Saikkonen et al. 2013b).
133
134
Sampling and analyses
135
For the samples and measurements of the present study, a triangular area (each side 3.5 m) with
136
high meadow fescue coverage was selected in each plot in mid-May 2013. Overwintered, erect
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meadow fescue shoot litter, composed of senescent leaves and stems, was collected from each of
138
the 20 plots (not from the area of the triangle) at the same time and stored at room temperature until
139
placed into litter mesh bags (7 cm × 11 cm, mesh size 1 mm, 5 g fresh mass in each bag). Six bags
140
were established from each of the 20 litter samples: two of the bags were later placed on the plot,
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where the litter was collected (i.e. E- litter placed on an E- plot, E+ litter placed on an E+ plot), two
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were placed on the adjacent plot in the same replicate block (i.e. E- litter placed on an E+ plot, E+
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litter placed on an E- plot), and the remaining two bags were placed outside the experimental area
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amongst a dense species-rich herbaceous vegetation. The latter area was used as a comparison site,
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where the decomposers had not been subjected to, and potentially adapted to either E- or E+ litter
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and is called as a “neutral” plot. The litter bags were placed on soil surface (in E+ and E- plots in
147
the middle of the triangular subplot) on 11th of June 2013, covered using a white mesh and
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collected on 21st of August 2013. The collected bags were kept frozen (-18 °C) until the litter in
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each bag was dried (48 h, 70 °C), weighed and ground and its N concentration analyzed using a
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LECO CNS-2000 analyzer (LECO Corporation, USA). To be able to calculate litter mass loss and
151
the amount of N released from each litter bag during the decomposition period, subsamples of the
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original 20 field samples were weighed before and after drying (to determine their dry mass
153
content), ground and analyzed for N concentration. The amount of N released from each litter bag
154
was then calculated using the initial and final dry masses and N concentrations.
155
To analyze the effect of the grass endophyte infection on the soil N and C content, three
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random soil cores (depth 10 cm, diameter 3 cm) were collected from each subplot in mid-May
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2013. After removing visible roots, the samples were pooled within each subplot, dried (48 h, 70
158
°C) and the soil C and N concentrations were determined using the LECO CNS-2000 analyzer. The
159
availability of mineral N (NH4+ and NO3-) in the soil was estimated using mesh bags (5 cm × 5 cm,
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mesh size 200 µm) filled with 1 g of ion exchange resin (Amberlite® MB-150 Mixed Bed
161
Exchanger, Rohm and Haas, France). Nine bags were buried in the depth of 5 cm in each triangle
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on 11th of June 2013.The bags were collected 5, 7 and 14 weeks later, three random bags at each
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date. In the laboratory, the bags were rinsed using distilled water, the three replicate bags of each
164
date were pooled and their NH4+ and NO3- contents extracted in 50 ml of 2M KCl. The KCl solution
165
was filtered through a glass microfiber filter (Whatman, GE Healthcare Europe GmbH) and the
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NH4 and NO3 concentrations were analyzed using a Lachat QuikChem 8000 analyzer (Zallweger
167
Analytics, Inc., Lachat Instruments Division, USA).
168
Soil temperature was measured in mid-July, early and late August and mid-September 2013 in
169
the top and 5-10 cm layer. For each measurement in each layer, the value is based on five readings
170
at random spots within the triangle.
171
172
Statistical analyses
173
The effects of grass endophyte infection and plot endophyte status on plant and soil variables were
174
analyzed using ANOVA models. The replicate block was included in the models to explain field
175
variation and repeated measures ANOVA was used for those response variables, which had
176
repeated measures in time (resin NH4 and NO3 contents, soil moisture and temperature) or space,
177
i.e. repeated measurements in E+, E- and neutral plots (litter mass loss and litter N release). The
178
homogeneity of variances was tested using the Levene’s test and the normality using model
179
residuals and the Shapiro-Wilk test. None of the response variables needed transformations to fulfil
180
these requirements. When the sphericity of data was violated in the repeated measures ANOVA, the
181
degrees of freedom were corrected using the Greenhouse-Geisser ε.
182
183
Results
184
The endophyte infection did not affect the grass litter attributes, i.e. shoot litter N%, litter mass loss
185
and litter N release (Table 1). Litter N release was higher in the neutral than E+ and E- plots, while
186
litter mass loss was not affected by the identity of the placement plot (Table 2). Grass endophyte
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status × placement plot identity interactions were not significant for either litter N release (F=0.09,
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P=0.913) or litter mass loss (F=0.10, 0.821). Litter N% correlated positively with litter N release (in
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E+ plots r=0.54, P=0.015, n=20; E- plots r=0.53, P=0.016; neutral plots r=0.72, P<0.001) and litter
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mass loss (in E+ plots r=0.58, P=0.007; E- plots r=0.79, P<0.001; neutral plots r=0.53, P=0.017).
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Soil temperature and N and C contents did not differ between the E+ and E- plots (Table 3).
192
The resin NH4 content varied across the summer (F=7.20, P=0.005; July 72±6, August 105±9,
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September 78±8 mg g-1 resin), while the NO3 content did not (F=0.10, P=0.904), and neither was
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affected by plot endophyte status (Table 3). The mean NO3 content of the three resin harvests of a
195
plot correlated positively with plot litter N% (r=0.58, P=0.008, n=20), and the resin NH4 and NO3
196
contents correlated positively with each other in August (r=0.50, P=0.023) and September (r=0.74,
197
P<0.001). The August temperatures of the 5-10 cm soil layer correlated negatively with the August
198
resin NH4 (r=-0.67, P=0.001, n=20) and NO3 (r=-0.59, P=0.006) contents and the September
199
temperatures with the September NH4 (r=-0.51, P=0.021) and NO3 (r=-0.44, P=0.052) contents.
200
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Discussion
202
We hypothesized that the meadow fescue grass infected by Epichloë uncinata would produce litter
203
that decomposes more slowly and releases less N than the litter produced by non-infected grass and
204
that this would lead to more organic C and N accumulating and less mineral N being available in
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the soil under infected than non-infected plants. These hypotheses were, however, falsified by our
206
data: although the mean N release was lower from E+ (0.26 mg N g-1 dry litter) than E- (1.06 mg)
207
litter as we predicted, this difference was not statistically significant and the other variables showed
208
no signs of endophyte effects.
209
The absence of the endophyte effect on litter mass loss in our study is in contrast to earlier
210
observations with other fungus-grass combinations. Omacini et al. (2004) found that the litter of E+
211
Italian ryegrass had 18% lower mean decay rate than the E- litter. Similarly, Lemons et al. (2005)
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showed that E+ tall fescue (S. arundinaceus) litter had 4.4% and 7.9% more mass remaining than E-
213
litter after 197 and 256 d of decomposition. In the latter study, the endophyte effect got stronger
214
with time and no difference was observed after 135 d of decomposition and ~33% mass loss. Our
215
meadow fescue litter was subjected to decomposition for 70 d with an average mass loss of 33%. If
216
the endophyte effect on litter mass loss only appeared at the later stage of decomposition as in
217
Lemons et al. (2005), this would suggest that we missed the effect in our shorter test. However, late
218
effects do not seem to be a rule as the significant reduction in litter decay rate in Omacini et al.
219
(2004) was found in an 83-d study with a mean mass loss of ~23%. Another explanation for the
220
discrepancy between ours and earlier results might be the fact that we used overwintered litter and
221
the alkaloids had partly degraded during the winter (see Kallenbach et al. 2003). Using
222
overwintered litter to examine litter effects on N cycling is, however, justified as most of the litter
223
enters the soil at this stage. Moreover, the absence of the endophyte effect on litter decomposition
224
agrees well with our finding that soil C and N contents and N mineralization, which tell of longer-
225
term endophyte effects, did not respond to the endophyte status of the field plots. The last piece of
226
evidence of the absence of endophyte effects on N cycling in our field site comes from an earlier
227
investigation carried out in the same site; in this study, the green leaf N% did not differ between the
228
infected and non-infected meadow fescue (Huitu et al. 2014). If N cycling differed significantly
229
between the E+ and E- plots in our site, the grass green leaf N% would most likely respond to the
230
difference. Lastly, it is good to note that the theory of the effect of litter decomposition rate on soil
231
organic matter accumulation is currently under revision (Cotrufo et al. 2013). In contrast to the
232
earlier belief, slow decomposition of low-quality litter is now suggested to decrease the
233
accumulation of soil organic matter due to lower accumulation of persistent microbial products
234
(Cotrufo et al. 2013). This is not highly relevant in our study as the Epichloë infection had no effect
235
on soil C and N accumulation, but it challenges the interpretation that alkaloids would be the cause
236
for organic matter accumulation under endophyte infected grass (Franzluebbers et al. 1999).
237
Litter quality is always a combination of attributes that enhance decomposition such as litter
238
N% (Silfver et al. 2007) and those that decelerate decomposition such as lignin concentration
239
(Melillo et al. 1982), but also depends on their interaction (Berg 2014). Besides producing
240
alkaloids, the Epichloë fungi are known to have effects on many attributes of grass green leaf
241
chemistry (Vázquez-de-Aldana 2013, Huitu et al. 2014, Saikkonen et al. 2015) and the variation in
242
the relative magnitude of these effects may be one cause for the variation that appears in Epichloë
243
effects on litter decomposition. In our study, the Epichloë infection did not affect litter N%, but the
244
plot-to-plot variation in litter N% correlated positively with litter mass loss, litter N release and NO3
245
availability in the plot soil. This shows that litter N%, even when originating from the limited
246
spatial variation of a homogeneous agricultural soil, can be a main control of litter decomposition
247
and N cycling in grasslands. Since litter N% was not affected by grass endophyte infection in our
248
study, litter N% could not mask any potential alkaloid effects, but such mask is possible in other
249
studies as the endophyte infection has been shown to increase grass green leaf N% (Siegrist et al.
250
2010, Vázquez-de-Aldana 2013). In fact, Siegrist et al. (2010) speculated that the weak effect of
251
high alkaloid concentrations on decomposition in their study with green leaf material was due to the
252
high N% of the material, which potentially alleviated the adverse alkaloid effects. Considering that
253
the alkaloid concentrations of green leaves vary widely among grass-endophyte symbioses
254
(TePaske et al. 1993) and are low in the senescent leaves and litter of infected grasses (Eichenseer
255
et al. 1991, Siegrist et al. 2010), leaf N% provides a noteworthy, additional mechanism to test in the
256
studies of Epichloë endophyte effects on litter decomposition and grassland N cycling. It is likely
257
though that variation in litter N% will also have its limitations in predicting the endophyte effects
258
on decomposition rates; for example, while the increasing atmospheric CO2 concentrations have
259
predictable effects on litter N% (reduced) and lignin concentrations (elevated), these effects do not
260
appear to lead to slower litter decomposition rates as expected (Norby et al. 2001).
261
We did not find evidence of a home-field advantage (Austin et al. 2014), i.e. significant ‘litter
262
endophyte status × plot endophyte status’ interaction effects on litter decomposition or litter N
263
release, neither were there any signs of plot endophyte status affecting litter decomposition. These
264
results provide further evidence of the absence of Epichloë uncinata effects on the activity or
265
structure of the decomposer community in our meadow fescue grassland. Instead, we found that
266
vegetation composition affected litter N release (the release was greater in the “neutral” than
267
experimental plots) and that soil mineral N availability was linked to soil temperature. These results
268
suggest two potential long-term mechanisms for endophyte effects on litter decomposition. First,
269
since the grass endophyte infection can reduce the species richness of a plant community (Clay and
270
Holah 1999) and prohibit weed invasion to a grass field (Saikkonen et al. 2013b), the species
271
composition of infected and non-infected grass fields (wild or established) may eventually differ
272
insomuch that this will have effects on the decomposition processes. In our study, we purposely
273
eliminated this mechanism by choosing subplots (the triangles) that were dominated by meadow
274
fescue. Secondly, the more vigorous growth of endophyte infected grasses (Clay 1988) and the
275
concomitant changes in plant species richness (Clay and Holah 1999, Saikkonen et al. 2013b) may
276
impact soil temperature, which will then reflect in N mineralization. Such effects would require a
277
complex mixture of plant-plant competition, herbivory and community dynamics, but would still
278
origin from the endophyte symbiosis.
279
To conclude, we could not find evidence that Epichloë uncinata infection would decelerate N
280
cycling and reduce N mineralization in meadow fescue grassland. This suggests that the infection
281
may not decrease the benefit of the endophyte-grass symbiosis by reducing soil fertility as we
282
speculated. Instead of the endophyte infection, the spatial variation of litter N% was a good
283
predictor for the variation in litter mass loss, litter N release and soil mineral N concentrations in
284
our field. When such clear link between litter N%, litter decomposition and N mineralization is
285
combined with the earlier findings of low alkaloid concentrations in endophyte infected grass litter
286
(Siegrist et al. 2010), varying effects of the infection on litter decomposition (Omacini et al. 2012)
287
and the positive effects of the endophyte on grass amino acid and N concentrations (Lyons et al.
288
1990, Siegrist et al. 2010), it appears that the endophyte effect on litter N% might be a worthwhile
289
mechanism to examine to understand the endophyte effects on litter mass loss and N cycling in
290
grassland ecosystems.
291
292
Acknowledgements
293
We thank Hillamari Lehikoinen, Serdar Dirihan and Tuija Koivisto for assisting with litter and resin
294
bags, Merja Myllys for measuring soil temperatures and Viivi Toivio, Santeri Savolainen and
295
Marianne Lehtonen for processing and analyzing the resin and litter samples. The study was
296
supported by the Academy of Finland (grants no. 137909 and 281354) to Kari Saikkonen.
297
298
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Table 1. The means (± SE, n=10) of the attributes of E+ and E- meadow fescue litter and the F- and
P-statistics of ANOVA of the effect of the Epichloë uncinata infection.
Litter N%
Litter mass loss (% of dry mass) b
Litter N release (mg N g-1 dry litter) b
E+ grass
0.96 ± 0.04
33.2 ± 1.3
0.26 ± 0.28
E- grass
1.02 ± 0.10
31.8 ± 2.3
1.06 ± 0.48
F
0.45
0.64
2.40
P
0.520
0.446
0.156
b
means are based on the average of values obtained in E+, E- and neutral plots; statistics from
repeated measures ANOVA
Table 2. The mean attributes (± SE, n=20) of meadow fescue litter placed on E+, E- and neutral
plots and the F- and P-statistics of ANOVA of the effect of the placement plot identity.
a
Litter mass loss (% of dry mass)
Litter N release (mg N g-1 litter) a
a
E+ plot
32.3 ± 0.01
0.41 ± 0.29
E- plot
Neutral plot
33.0 ± 0.02 32.2 ± 0.01
0.66 ± 0.33 0.91 ± 0.30
F
0.47
4.34
P
0.556
0.029
means include both E+ and E- grass; statistics from repeated measures ANOVA
Table 3. The means (± SE, n=10) of soil attributes and resin NH4 and NO3 contents in E+ and Eplots and the F- and P-statistics of ANOVA of the effect of the plot endophyte status.
Soil N content (% of dry mass)
Soil C content (% of dry mass)
Resin NH4 content (mg g-1) a
Resin NO3 content (mg g-1) a
Soil temperature (°C, surface) b
Soil temperature (°C, 5-10 cm) b
a
E+ plot
0.38 ± 0.02
5.34 ± 0.23
83 ± 8
232 ± 39
17.2 ± 0.3
15.6 ± 0.2
E- plot
0.36 ± 0.01
5.16 ± 0.20
87 ± 8
233 ± 56
17.2 ± 0.3
15.6 ± 0.2
F
0.51
0.28
0.10
<0.01
0.07
0.18
P
0.493
0.609
0.758
0.995
0.798
0.685
means are based on the average of July, August and September values; statistics from repeated
measures ANOVA
b
means are based on the average of July, August (early and late) and September values; statistics
from repeated measures ANOVA