Can DNA barcoding accurately discriminate megadiverse Neotropical freshwater fish fauna?
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1186/1471-2156-14-20 http://hdl.handle.net/11449/74815 |
Resumo: | Background: The megadiverse Neotropical freshwater ichthyofauna is the richest in the world with approximately 6,000 recognized species. Interestingly, they are distributed among only 17 orders, and almost 80% of them belong to only three orders: Characiformes, Siluriformes and Perciformes. Moreover, evidence based on molecular data has shown that most of the diversification of the Neotropical ichthyofauna occurred recently. These characteristics make the taxonomy and identification of this fauna a great challenge, even when using molecular approaches. In this context, the present study aimed to test the effectiveness of the barcoding methodology (COI gene) to identify the mega diverse freshwater fish fauna from the Neotropical region. For this purpose, 254 species of fishes were analyzed from the Upper Parana River basin, an area representative of the larger Neotropical region.Results: Of the 254 species analyzed, 252 were correctly identified by their barcode sequences (99.2%). The main K2P intra- and inter-specific genetic divergence values (0.3% and 6.8%, respectively) were relatively low compared with similar values reported in the literature, reflecting the higher number of closely related species belonging to a few higher taxa and their recent radiation. Moreover, for 84 pairs of species that showed low levels of genetic divergence (<2%), application of a complementary character-based nucleotide diagnostic approach proved useful in discriminating them. Additionally, 14 species displayed high intra-specific genetic divergence (>2%), pointing to at least 23 strong candidates for new species.Conclusions: Our study is the first to examine a large number of freshwater fish species from the Neotropical area, including a large number of closely related species. The results confirmed the efficacy of the barcoding methodology to identify a recently radiated, megadiverse fauna, discriminating 99.2% of the analyzed species. The power of the barcode sequences to identify species, even with low interspecific divergence, gives us an idea of the distribution of inter-specific genetic divergence in these megadiverse fauna. The results also revealed hidden genetic divergences suggestive of reproductive isolation and putative cryptic speciation in some species (23 candidates for new species). Finally, our study constituted an important contribution to the international Barcoding of Life (iBOL.org) project, providing barcode sequences for use in identification of these species by experts and non-experts, and allowing them to be available for use in other applications. © 2013 Pereira et al.; licensee BioMed Central Ltd. |
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Can DNA barcoding accurately discriminate megadiverse Neotropical freshwater fish fauna?Biodiversity.CharaciformesCOIOverlooked speciesSiluriformesUpper Paraná River basinclinical effectivenessDNA barcodingfreshwater fishgene sequencegenetic variabilitynonhumanAnimalsBiodiversityCatfishesDNA Barcoding, TaxonomicPerciformesPhylogenyRiversSouth AmericaPiscesBackground: The megadiverse Neotropical freshwater ichthyofauna is the richest in the world with approximately 6,000 recognized species. Interestingly, they are distributed among only 17 orders, and almost 80% of them belong to only three orders: Characiformes, Siluriformes and Perciformes. Moreover, evidence based on molecular data has shown that most of the diversification of the Neotropical ichthyofauna occurred recently. These characteristics make the taxonomy and identification of this fauna a great challenge, even when using molecular approaches. In this context, the present study aimed to test the effectiveness of the barcoding methodology (COI gene) to identify the mega diverse freshwater fish fauna from the Neotropical region. For this purpose, 254 species of fishes were analyzed from the Upper Parana River basin, an area representative of the larger Neotropical region.Results: Of the 254 species analyzed, 252 were correctly identified by their barcode sequences (99.2%). The main K2P intra- and inter-specific genetic divergence values (0.3% and 6.8%, respectively) were relatively low compared with similar values reported in the literature, reflecting the higher number of closely related species belonging to a few higher taxa and their recent radiation. Moreover, for 84 pairs of species that showed low levels of genetic divergence (<2%), application of a complementary character-based nucleotide diagnostic approach proved useful in discriminating them. Additionally, 14 species displayed high intra-specific genetic divergence (>2%), pointing to at least 23 strong candidates for new species.Conclusions: Our study is the first to examine a large number of freshwater fish species from the Neotropical area, including a large number of closely related species. The results confirmed the efficacy of the barcoding methodology to identify a recently radiated, megadiverse fauna, discriminating 99.2% of the analyzed species. The power of the barcode sequences to identify species, even with low interspecific divergence, gives us an idea of the distribution of inter-specific genetic divergence in these megadiverse fauna. The results also revealed hidden genetic divergences suggestive of reproductive isolation and putative cryptic speciation in some species (23 candidates for new species). Finally, our study constituted an important contribution to the international Barcoding of Life (iBOL.org) project, providing barcode sequences for use in identification of these species by experts and non-experts, and allowing them to be available for use in other applications. © 2013 Pereira et al.; licensee BioMed Central Ltd.Laboratory of Biology and Genetic of Fish Department of Morphology Biosciences Institute, State University of São Paulo, São PauloBiodiversity Institute of Ontario and Department of Integrative Biology University of Guelph, Guelph, ONUniversidade Estadual Paulista (Unesp)University of GuelphPereira, Luiz H.G.Hanner, RobertForesti, FaustoOliveira, Claudio2014-05-27T11:28:39Z2014-05-27T11:28:39Z2013-03-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1186/1471-2156-14-20BMC Genetics, v. 14.1471-2156http://hdl.handle.net/11449/7481510.1186/1471-2156-14-20WOS:0003166778000012-s2.0-848746788612-s2.0-84874678861.pdf0804793944846367Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBMC Genetics2.4691,160info:eu-repo/semantics/openAccess2023-11-27T06:14:36Zoai:repositorio.unesp.br:11449/74815Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:51:43.105776Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Can DNA barcoding accurately discriminate megadiverse Neotropical freshwater fish fauna? |
title |
Can DNA barcoding accurately discriminate megadiverse Neotropical freshwater fish fauna? |
spellingShingle |
Can DNA barcoding accurately discriminate megadiverse Neotropical freshwater fish fauna? Pereira, Luiz H.G. Biodiversity. Characiformes COI Overlooked species Siluriformes Upper Paraná River basin clinical effectiveness DNA barcoding freshwater fish gene sequence genetic variability nonhuman Animals Biodiversity Catfishes DNA Barcoding, Taxonomic Perciformes Phylogeny Rivers South America Pisces |
title_short |
Can DNA barcoding accurately discriminate megadiverse Neotropical freshwater fish fauna? |
title_full |
Can DNA barcoding accurately discriminate megadiverse Neotropical freshwater fish fauna? |
title_fullStr |
Can DNA barcoding accurately discriminate megadiverse Neotropical freshwater fish fauna? |
title_full_unstemmed |
Can DNA barcoding accurately discriminate megadiverse Neotropical freshwater fish fauna? |
title_sort |
Can DNA barcoding accurately discriminate megadiverse Neotropical freshwater fish fauna? |
author |
Pereira, Luiz H.G. |
author_facet |
Pereira, Luiz H.G. Hanner, Robert Foresti, Fausto Oliveira, Claudio |
author_role |
author |
author2 |
Hanner, Robert Foresti, Fausto Oliveira, Claudio |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) University of Guelph |
dc.contributor.author.fl_str_mv |
Pereira, Luiz H.G. Hanner, Robert Foresti, Fausto Oliveira, Claudio |
dc.subject.por.fl_str_mv |
Biodiversity. Characiformes COI Overlooked species Siluriformes Upper Paraná River basin clinical effectiveness DNA barcoding freshwater fish gene sequence genetic variability nonhuman Animals Biodiversity Catfishes DNA Barcoding, Taxonomic Perciformes Phylogeny Rivers South America Pisces |
topic |
Biodiversity. Characiformes COI Overlooked species Siluriformes Upper Paraná River basin clinical effectiveness DNA barcoding freshwater fish gene sequence genetic variability nonhuman Animals Biodiversity Catfishes DNA Barcoding, Taxonomic Perciformes Phylogeny Rivers South America Pisces |
description |
Background: The megadiverse Neotropical freshwater ichthyofauna is the richest in the world with approximately 6,000 recognized species. Interestingly, they are distributed among only 17 orders, and almost 80% of them belong to only three orders: Characiformes, Siluriformes and Perciformes. Moreover, evidence based on molecular data has shown that most of the diversification of the Neotropical ichthyofauna occurred recently. These characteristics make the taxonomy and identification of this fauna a great challenge, even when using molecular approaches. In this context, the present study aimed to test the effectiveness of the barcoding methodology (COI gene) to identify the mega diverse freshwater fish fauna from the Neotropical region. For this purpose, 254 species of fishes were analyzed from the Upper Parana River basin, an area representative of the larger Neotropical region.Results: Of the 254 species analyzed, 252 were correctly identified by their barcode sequences (99.2%). The main K2P intra- and inter-specific genetic divergence values (0.3% and 6.8%, respectively) were relatively low compared with similar values reported in the literature, reflecting the higher number of closely related species belonging to a few higher taxa and their recent radiation. Moreover, for 84 pairs of species that showed low levels of genetic divergence (<2%), application of a complementary character-based nucleotide diagnostic approach proved useful in discriminating them. Additionally, 14 species displayed high intra-specific genetic divergence (>2%), pointing to at least 23 strong candidates for new species.Conclusions: Our study is the first to examine a large number of freshwater fish species from the Neotropical area, including a large number of closely related species. The results confirmed the efficacy of the barcoding methodology to identify a recently radiated, megadiverse fauna, discriminating 99.2% of the analyzed species. The power of the barcode sequences to identify species, even with low interspecific divergence, gives us an idea of the distribution of inter-specific genetic divergence in these megadiverse fauna. The results also revealed hidden genetic divergences suggestive of reproductive isolation and putative cryptic speciation in some species (23 candidates for new species). Finally, our study constituted an important contribution to the international Barcoding of Life (iBOL.org) project, providing barcode sequences for use in identification of these species by experts and non-experts, and allowing them to be available for use in other applications. © 2013 Pereira et al.; licensee BioMed Central Ltd. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-03-09 2014-05-27T11:28:39Z 2014-05-27T11:28:39Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1186/1471-2156-14-20 BMC Genetics, v. 14. 1471-2156 http://hdl.handle.net/11449/74815 10.1186/1471-2156-14-20 WOS:000316677800001 2-s2.0-84874678861 2-s2.0-84874678861.pdf 0804793944846367 |
url |
http://dx.doi.org/10.1186/1471-2156-14-20 http://hdl.handle.net/11449/74815 |
identifier_str_mv |
BMC Genetics, v. 14. 1471-2156 10.1186/1471-2156-14-20 WOS:000316677800001 2-s2.0-84874678861 2-s2.0-84874678861.pdf 0804793944846367 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
BMC Genetics 2.469 1,160 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
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Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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1808128992396443648 |