Download Application of DNA barcoding for the control of the species from the

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts
no text concepts found
Transcript
1
Application of DNA barcoding for the control of the species from the Octopus genus.
2
3
Francesco Debenedetti1, Alessandra Dalmasso1, Maria Teresa Bottero1, Maurizio Gilli3, Stefano Gili3,
4
Valentina Tepedino2, Tiziana Civera1*
5
6
7
1
8
(TO), Italy
9
2
Eurofishmarket, Piazza Sergio Vieira De Mello 4, 40128 Bologna, Italy
10
3
ASLTO1, Via della Consolata 10, 10122 Torino
Department of Veterinary Sciences, Università degli Studi di Torino, largo Braccini 2, 10095 Grugliasco
11
12
Correspondence: * Tiziana Civera, Department of Veterinary Sciences, Università degli Studi di Torino,
13
largo Braccini 2, 10095 Grugliasco (TO), Italy.
14
Phone:+39. 011.67092
- Fax: +39.011.6709224
15
16
Key words: DNA barcoding; Octopus spp.; commercial frauds
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
Conflict of interests: the authors declare no potential conflict of interests.
38
Abstract
39
The DNA barcoding proposes the use of a particular sequence from a single genomic region as the base for
40
an identifying system capable to determine all animal species. This methodology comprises the analysis of a
41
655 base-pair region from the mithocondrial cytochrome C oxidase gene (COI). Its application in the species
42
identification of fishery products has been very promising, however in the last years some doubts about its
43
usage have emerged.
44
In this work, we make use of the DNA barcoding for the identification of some of the octopus species with
45
higher commercial interest (Octopus membranaceus, Octopus vulgaris, Octopus aegina, Octopus cyanea)
46
focusing the attention on the reliability and completeness of the available information on the databases.
47
The study looked over 51 individuals apparently belonging to the Octopus genus.
48
For the identification of O.aegina, O.cyanea, O.vulgaris species no particular problems were found. On the
49
other hand most of the samples of O.membranaceus, despite they clearly presented the morphological
50
characteristics of the species, were not identified with the biomolecular analyses.
51
52
Riassunto
53
Il DNA barcoding propone l'utilizzo di una sequenza di una singola porzione genica come base di un sistema
54
identificativo valido per l’identificazione di tutti gli animali. Questa tecnica prevede l’analisi di un
55
frammento di 655 bp della subunità I della citocromo C ossidasi (COI). La sua applicazione nel campo
56
dell’identificazione delle specie ittiche si è rilevata molto promettente fin dall'inizio, tuttavia sono emersi, nel
57
corso degli anni, alcuni dubbi sul suo utilizzo.
58
In questo lavoro abbiamo voluto impiegare il DNA barcoding per l'identificazione di alcune specie di polpi
59
di maggior interesse commerciale (Octopus membranaceus, Octopus vulgaris, Octopus aegina, Octopus
60
cyanea) focalizzando l’attenzione sull'attendibilità e la completezza delle banche dati
61
Sono stati analizzati 51 soggetti di appartenenti al genere Octopus.
62
Per le specie
63
nell’identificazione. Viceversa la maggior parte dei campioni di O.membranaceus, nonostante presentasse
64
inequivocabilmente le caratteristiche morfologiche della specie, non è stata identificata con le analisi
65
biomolecolari.
66
67
68
69
70
71
72
73
74
O.aegina , O.cyanea , O.vulgaris non sono state riscontrate particolari difficoltà
75
Introduction
76
The DNA barcoding puts forward the use of a sequence from a single genomic region (defined as
77
“barcode”), as the base of a recognition system capable to identify all animal species (Hebert et al., 2003).
78
This biomolecular methodology consists on the identification of the belonging species through the
79
sequencing of a fragment of mitochondrial genes, its alignment and comparison with the information
80
available on the databases.
81
In particular, the barcoding approach comprises the analysis of a 655 bp region located at the 5’ end of the
82
subunit I of the mithocondrial cytochrome C oxidase gene (COI). This gene codes for one part of the
83
terminal enzyme of the mithocondrial respiratory chain. The COI gene has been chosen as a universal
84
molecular target since it allows the design of universal, robust and functional primers for almost all the
85
member of the animal Phyla (Folmer et al., 1994).
86
The effectiveness of this fragment for the identification of species. has been demonstrated for several animal
87
species, from vertebrates to invertebrates (Waugh, 2007; Ward and Holmes, 2007).
88
Recently, this technique was recognized as the best method in Forensics for species’ identification, and was
89
proposed by the United States Food and Drug Administration (USFDA) as the methodology for the
90
authentication of commercial fish products (Dawnay et al., 2007).
91
The US agency has also the intention of introduce the DNA barcoding data in the Regulatory Fish
92
Encyclopedia (RFE) to support the investigations of mislabeling and the substitution of the fish species
93
(Yancy et al., 2008). In May 2004, the Consortium for the Barcoding of Life (CBOL) was formed,
94
comprising several international patterns. Since the beginning, its mission has been the exploration and the
95
development of the potentiality of the DNA barcoding as a practical and research tool for the species’
96
identification. The use of this methodology for the species identification of fishery products has been very
97
promising from the outset, given the large number of species already identified. Actually it has been shown
98
that 98% and 93% of the marine and fresh water species, respectively, can be differentiated using barcodes
99
(Savolainen et al., 2005; Ward et al., 2009).
100
This favorable outcome as well as the need of a complete and reliable instrument for identification of the
101
species, have derived into the formation of the initiative Fish Barcode of Life (FISH-BOL)
102
(www.fishbol.org).
103
This campaign, launched in 2005, has as main objective the collection of DNA barcodes of all the fish in the
104
world, equivalent to 31,000 species approximately. It endorses the FishBase (www.fishbase.org) as the
105
taxonomic authority, and the BOL database (BOLD) as the working bioinformatic platform. FISH-BOL
106
represents one of the most complete resources for the species identification of the fishery products (Ward et
107
al., 2009).
108
However, in the past years, some doubts regarding the use of DNA barcoding have emerged because of the
109
difficulties to discriminate recently spread species, or species with a wide spatial differentiation; as well as
110
the inability to differentiate new and hybrid species (Moritz and Cicero, 2004; Hickerson et al., 2006;
111
Rubinoff et al., 2006).
112
Furthermore, if on one hand this technique has been extensively evaluated for the identification of fish
113
species, there are still few data supporting the applicability in the identification of the most common species
114
of cephalopods and octopus.
115
In this work we test the DNA barcoding for the identification of some octopus species of greatest
116
commercial interest (Octopus membranaceus, Octopus vulgaris, Octopus aegina, Octopus cyanea) focusing
117
the attention on the reliability and completeness of the available databases.
118
119
Materials and Methods
120
The sampling involved the collection of 51 specimens belonging to the genus Octopus: 1 O.dollfusi, 2
121
O.aegina, 2 O.cyanea, 24 O.vulgaris and 22 O.membranaceus. All samples, collected in 2012 and 2013
122
from different suppliers, were morphologically identified and kept at -20°C.
123
The DNA extraction was done using the DNeasy Tissue and Blood Kit (Qiagen) according to the
124
manufacturer’s instructions for animal tissue. The extracted DNA was quantified with NanoDrop 1000
125
(Thermo Scientific).
126
For all samples, segments of the COI genes were amplified following the protocol proposed by
127
Folmer et al., (1994). Since there were no available reference sequences for O.membranaceus in FISH-BOL,
128
a second sequencing protocol was introduced. It contemplated the usage of cytochrome b (cytb), a historical
129
target used for the species identification (Espineira et al., 2010).
130
Amplicons were visualized by electrophoresis on a 2% agarose gel and colored with Eurosafe Nucleic Acid
131
Stain.
132
The amplified products were purified with the enzyme ExoSap-IT (USB) and sequence with the BigDye
133
terminator kit (Applied Biosystems) according to the manufacturer’s instructions. The extension products
134
were purified using the DyeEx 2.0 spin kit (Qiagen), denatured in formamide and analyzed with the ABI
135
Prism 310 Genetic Analyzer (Applied Biosystems).
136
The obtained sequences were examined, corrected and analyzed with the MEGA5 software and subjected to
137
identification with BOLD-IDS (Bold) for the COI gene, and to BLASTN (GenBank) for both genes.
138
Finally phylogenetic relationships among the studied samples were investigated with differences method
139
(Nei and Kumar, 2000). For the distance matrix, phylogenetic trees were constructed using the Neighbour-
140
Joining method. The bootstrap method (500 replicates) was used to obtain the support of different groups
141
included in the phylogenetic (Felsenstein, 1985).
142
143
Results
144
All samples originated an amplicon of 655 bp for the COI gene and of 651 bp for the cytb gene.
145
The sequencing results are presented on Table 1.
146
For the species O.aegina, O.cyanea, O.vulgaris and O.dollfusi there were no identification problems.
147
Actually we were able to identify 27 samples, out of 29, with a similarity of 99-100%. Out of these, 22
148
samples were in accordance with the labels of the products, while 5 didn’t correspond to what was declared
149
in the product description.
150
Finally, for 2 samples labeled as O.vulgaris it was not possible to obtain the biomolecular identification,
151
since they presented a low identity (91%) with Amphioctopus rex and Amphioctopus marginatus, species not
152
reported in the FAO catalogue.
153
Further difficulties were encountered in the identification of samples labeled as O.membranaceus.
154
Actually only one sample was identified from both databases in a non ambiguous way (100% similarity) as
155
O.aegina, while for the other 21 samples it was not possible to obtain a certain identification. In particular,
156
regarding the cytb, the similarity obtained values ranged from 93-94% with O.membranaceus, 93% with
157
O.aegina and 90% with Cistopus taiwanicus (Fig.1).
158
The results were even more complex for the COI gene because of the lack of reference sequences of
159
O.membranaceus in both GenBank and BOLD databases (Fig.2).
160
161
Discussion
162
The expansion in food preservation, processing technologies and market liberalization has contributed
163
significantly to the globalization of fish trade, both in terms of species and products.
164
In a globalized market, the eagerness to offer leading products appreciated and recognized to derive
165
maximum revenue, can introduce the habit of replacing valuable species with others very similar but
166
economically or qualitatively inferior, incurring into commercial fraud (Jacquet and Pauly, 2008).
167
The identification of species in fisherystock products, essential at the moment of the commercialization, has
168
been based for a long time solely on morphological characteristics, and is still the official method for the
169
taxonomic classification. However, in the last years this morphological classification has been supported by
170
biomolecular laboratory techniques based on the sequencing of several mitochondrial genes (cytb, 16S
171
rRNA, 12SrRNA, NADH).
172
Particularly, the DNA barcoding, based on the sequencing of the COI gene, might be a reliable tool used in
173
the daily practice for the control of commercial fraud.
174
The ability of barcoding to provide unambiguous designation of species from a complete specimen or part of
175
it, has important implications in several fields: in the retail (accidental or intentional replacement, consumer
176
protection and the regulation of the commerce); in fisheries management (monitoring of fishing stocks,
177
sustainable fishing); in the conservation of fish stock (identification of endangered species, protected,
178
damaged or parts of them) (Costa and Carvalho, 2007).
179
Given the limited applications of DNA barcoding in the field of cephalopods, the present work evaluated the
180
possibility of using it to control the Octopus genus and the most commonly found species in the Italian fish
181
markets.
182
In fact octopus phylogeny has been subjected to confusion and controversy throughout the past years (Carlini
183
et al., 2001).
184
The Octopus genus is the largest within the family Octopidae, it comprises more than 200 species. Of these,
185
90% were inserted just in the above-mentioned genus, for this reason it is called "catch-all" (Lü et al., 2013).
186
Several taxonomic studies based on morphology, have recognized more complexity within the genus
187
Octopus spp. ("Species group"). At the beginning there were identified 9 groups of species, many of which
188
are under review. For example, the O.aegina complex was classified as Amphioctopus spp.. Currently many
189
species, previously classified as Octopus spp., were included in the Amphioctopus genus (Huffard and
190
Hochberg, 2005). Furthermore, the analysis of morphological parameters does not seem sufficient to
191
describe a so complex variability, confirmed also by the data obtained in this work.
192
If for the species O.aegina, O.vulgaris and O.cyanea there were no identification problems, the same cannot
193
be said for O.membranaceus, important species of commercial value, fished in the Indo-Pacific area and
194
widely spread in Italian fisheries.
195
From the analysis of the COI gene, the majority of the O.membranaceus samples, despite they clearly
196
presented the morphological characteristics of the species (a conspicuous, dark, ringed ocellus on web at
197
base of arms II, enteroventral to the eyes) (FAO Fisheries synopsis), were not identified with molecular
198
analyses. In particular regarding the gene COI, there were no reference sequences, while in the case of cytb
199
the samples showed values of similarity with O.membranaceus, unexpectedly low (93-94%).
200
From the alignments of the sequences of the O.membranaceus samples, both the COI and cytb presented a
201
great variability not only with respect to the sequences deposited in GenBank, but also between the same
202
samples. The only exception, represented by a group of homologous samples (identity of 99-100%) is
203
justified by the fact that the 12 specimens were from the same batch (Fig. 1 and 2).
204
Moreover this considerable variability was also found in O. vulgaris species: in fact from the alignment of
205
the sequences of the COI gene a range of similarity between the 96% and 100% was observed. As example,
206
in table 2, ten representative sequences of this gene were aligned, highliting the variable sites between them.
207
There were found show 35 SNPs out of 655 bp, which demonstrate a higher variability.
208
These results showed, on one hand that the extreme genotypic variability is not correlated with the
209
phenotypic variability, and on the other hand are confirmed by the literature related to the Octopus genus.
210
Actually the polyphyletic of the Octopus genus has been demonstrated by a number of molecular studies (Lü
211
et al., 2013). The reconsideration of generic names and the major revision of these taxa have been proposed
212
by some authors (Guzik et al., 2005;)
213
214
Conclusion
215
The DNA barcoding applied in the control of Octopus spp. highlights the need to enlarge the information in
216
the database by increasing the number of species and the number of sequences available for each one. In
217
addition, from this works emerges too the complexity in the interpretation of the data, pointing out the
218
importance of the training and experience of the operator to avoid making mistakes.
219
220
221
References
222
Carlini DB, Young RE, Vecchione M, 2001. A molecular phylogeny of the Octopoda (Mollusca:
223
Cephalopoda) evaluated in light of the morphological evidence. Mol Phylogenet Evol 21:388–97.
224
225
Costa FO, Carvalho GR, 2007. The barcode of life initiative: synopsis and prospective societal impacts of
226
DNA barcoding of fish. Genomics, Society and Policy 3:29–40.
227
228
Dawnay N, Ogden R, McEwing R, Carvalho GR, Thorpe RS, 2007. Validation of the barcoding gene CO1
229
for use in forensic genetic species identification. Forensic Sci Int 173:1–6.
230
231
Espiñeira M, Vieites JM, Santaclara FJ, 2010. Species authentication of octopus, cuttle fish, bobtail and
232
bottle squids (families Octopodidae, Sepiidae and Sepiolidae) by FINS methodology in seafoods. Food
233
Chem 121:527-32.
234
235
FAO Fisheries Synopsis No. 125, Volume 3 FAO Species Catalogue Vol. 3. Cephalopods of The World - An
236
Annotated and Illustrated Catalogue of Species of Interest to Fisheries.
237
238
Felsenstein J, 1985. Confidence limits on phylogenies: An approach using the bootstrap. Evolution 39:783-
239
91.
240
241
Folmer O, Black M, Hoeh W, Lutz R, Vrijenhoek R, 1994. DNA primers for amplification of mitochondrial
242
cytochrome c oxidase subunit I from diverse metazoan invertebrates. Mol Mar Biol Biotech 3:294–9.
243
244
Guzik, M.T., Norman, M.D., Crozier, R.H. (2005) Molecular phylogeny of the benthic shallow-water
245
octopuses (Cephalopoda: Octopodinae). Mol Phylogenet Evol 37:235–48.
246
247
Hebert PDN, Cywinska A, Ball SL, de Waard JR, 2003. Biological identifications through DNA barcodes.
248
Proc. R. Soc. Lond. B 270:313–22.
249
250
Hickerson MJ, Meyer CP, Moritz C, 2006. DNA barcoding will often fail to discover new animal species
251
overbroad parameterspace. Syst Biol 55:729–39.
252
253
Huffard CL, Hochberg FG, 2005. Description of a new species of the genus Amphioctopus (Mollusca:
254
Octopodidae) from the Hawaiian islands. Mollusc Res 23:113-28.
255
256
257
Jacquet J, Pauly D, 2008. Trade secrets: renaming and mislabeling of seafood. Mar Policy 32:309-18.
258
Lü ZM, Cui WT, Liu LQ,Li HM, Wu CW, 2013. Phylogenetic relationships among Octopodidae species in
259
coastal waters of China inferred from two mitochondrial DNA gene sequences. Genet Mol Res 12: 3755-65.
260
261
Moritz C, Cicero C, 2004. DNA barcoding: promise and pitfalls. PLoS Biology 2: 1529-31.
262
263
Nei M and Kumar S, 2000. Molecular Evolution and Phylogenetics. Oxford University Press, New York.
264
265
Rubinoff D, 2006. Utility of mitochondrial DNA barcodes in species conservation. Conserv Biol 20:1026–
266
33.
267
268
Savolainen V, Cowan RS, Vogler AP, Roderick GK, Lane R, 2005. Towards writing the encyclopedia of
269
life: an introduction to DNA barcoding. Philos T Roy Soc B 360:1805–11.
270
271
Ward RD, Hanner R, Hebert PDN, 2009. The campaign to DNA barcode all fishes, FISH-BOL. J Fish Biol
272
74: 329-56.
273
274
Ward RD, Holmes BH 2007. An analysis of nucleotide and amino acid variability in the barcode region of
275
cytochrome c oxidase I (cox1) in fishes. Mol Ecol 7:899–907.
276
277
Waugh J, 2007. DNA barcoding in animal species: progress, potential and pitfalls. BioEssays 29:188–97.
278
279
Yancy HF, Zemlak TS, Mason JA, Washington JD, Tenge BJ, Nguyen N-LNT, Barnett JD, Savary WE, Hill
280
WE, Moore MM, Fry FS, Randolph SC, Rogers PL, Hebert PDN, 2008. Potential use of DNA Barcodes in
281
Regulatory Science: Applications of the Regulatory Fish Encyclopedia. J Food Prot 71: 210–17.
282
283
284
285
286
287
288
289
290
291
Table 1: Results of sequencing identification
292
Number of samples
Labeled
Species
Similarity (%)
2
O.aegina
O.aegina
99
2
O.cyaneus
O.cyanea
99-100
1
O. dollfusi
O.aegina
100
4
O.vulgaris
O.cyanea
99-100
18
O.vulgaris
O.vulgaris
99-100
2
O.vulgaris
n.a.
n.a.
1
O.membranaceus
O.aegina
99-100
21
O.membranaceus
n.a.
n.a.
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
n.a.: identification not available
310
Figure 1
311
Phylogenetic tree showing the relationship among the studied samples carried from the alignment of the cytb
312
gene
313
314
The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test are
315
shown next to the branches. The tree is drawn to scale, with branch lengths in the same units as those of the
316
evolutionary distances used to infer the phylogenetic tree. The distances were computed using the number of
317
differences method and are in the units of the number of base differences per sequence.
318
319
320
Figure 2
321
Phylogenetic tree showing the relationship among the studied samples carried fron the alignment of the COI
322
gene.
323
324
325
326
The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test are
327
shown next to the branches. The tree is drawn to scale, with branch lengths in the same units as those of the
328
evolutionary distances used to infer the phylogenetic tree. The distances were computed using the number of
329
differences method and are in the units of the number of base differences per sequence.
330
Table 2: Example of variable sites in COI gene from the alignment of ten O.vulgaris representative sequences.
SNPs position (referred to GenBank acc. n° HQ908427)
331
332
Octopus vulgaris 1
Octopus vulgaris 2
Octopus vulgaris 3
Octopus vulgaris 4
Octopus vulgaris 5
Octopus vulgaris 6
Octopus vulgaris 7
Octopus vulgaris 8
Octopus vulgaris 9
Octopus vulgaris 10
1
0
7
T
.
.
.
.
.
.
.
.
C
1
5
4
T
C
C
C
C
.
.
.
.
.
1
7
5
T
C
C
C
C
.
.
.
.
.
1
9
6
A
.
G
.
.
.
.
.
.
.
Dots indicate homolog nucleotides
2
1
2
A
G
G
G
G
G
G
G
G
G
2
4
7
C
T
T
T
T
.
.
.
.
.
2
6
2
C
.
.
.
.
A
A
A
.
.
2
7
7
C
T
T
T
T
.
.
.
.
.
3
0
1
T
A
A
A
A
.
.
.
.
.
3
1
0
A
.
.
.
.
.
.
.
T
.
3
1
3
T
.
C
C
C
.
.
.
.
.
3
4
0
A
G
G
G
G
.
.
.
.
.
3
4
2
C
T
.
.
.
.
.
.
.
.
3
6
7
A
T
.
.
.
.
.
.
.
.
3
7
3
C
T
T
T
T
.
.
.
.
.
3
8
3
C
.
.
.
.
T
.
.
.
.
3
8
5
A
T
.
.
.
.
.
.
.
.
3
8
8
A
C
C
C
C
.
.
.
.
.
4
0
6
A
T
.
.
.
.
.
.
.
.
4
1
5
T
.
.
C
.
.
.
.
.
.
4
2
4
T
C
C
C
C
.
.
.
.
.
4
3
9
C
.
.
.
.
.
.
.
T
.
4
8
1
A
T
.
.
.
.
.
.
.
.
4
9
3
T
.
.
.
.
C
C
C
.
.
5
0
5
G
A
A
A
A
A
A
A
.
.
5
1
4
T
A
A
A
A
.
.
.
.
.
5
3
9
T
C
C
C
C
C
C
C
C
.
5
6
2
A
.
.
.
.
G
G
G
.
.
5
8
0
A
T
.
.
.
.
.
.
.
.
6
0
1
C
T
T
T
T
.
.
.
.
.
6
1
6
A
T
T
T
T
.
.
.
.
.
6
1
7
A
G
.
.
.
.
.
.
.
.
6
1
8
G
A
.
.
.
.
.
.
.
.
6
3
1
C
T
T
T
T
.
.
.
.
.
6
5
0
T
.
.
.
.
.
.
.
.
C