Can DNA barcoding accurately discriminate megadiverse Neotropical freshwater fish fauna?

Detalhes bibliográficos
Autor(a) principal: Pereira, Luiz H.G.
Data de Publicação: 2013
Outros Autores: Hanner, Robert, Foresti, Fausto, Oliveira, Claudio
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.
id UNSP_881143d0e212f4138623b7b0af67c23f
oai_identifier_str oai:repositorio.unesp.br:11449/74815
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling 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
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128992396443648