Neotropical bats: estimating species diversity with DNA barcodes.

DNA barcoding using the cytochrome c oxidase subunit 1 gene (COI) is frequently employed as an efficient method of species identification in animal life and may also be used to estimate species richness, particularly in understudied faunas. Despite numerous past demonstrations of the efficiency of t...

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Autores principales:	Elizabeth L Clare, Burton K Lim, M Brock Fenton, Paul D N Hebert
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2cdd85b73e1f47f7a781f0d2753938b6
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spelling	oai:doaj.org-article:2cdd85b73e1f47f7a781f0d2753938b62021-11-18T06:49:22ZNeotropical bats: estimating species diversity with DNA barcodes.1932-620310.1371/journal.pone.0022648https://doaj.org/article/2cdd85b73e1f47f7a781f0d2753938b62011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21818359/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203DNA barcoding using the cytochrome c oxidase subunit 1 gene (COI) is frequently employed as an efficient method of species identification in animal life and may also be used to estimate species richness, particularly in understudied faunas. Despite numerous past demonstrations of the efficiency of this technique, few studies have attempted to employ DNA barcoding methodologies on a large geographic scale, particularly within tropical regions. In this study we survey current and potential species diversity using DNA barcodes with a collection of more than 9000 individuals from 163 species of Neotropical bats (order Chiroptera). This represents one of the largest surveys to employ this strategy on any animal group and is certainly the largest to date for land vertebrates. Our analysis documents the utility of this tool over great geographic distances and across extraordinarily diverse habitats. Among the 163 included species 98.8% possessed distinct sets of COI haplotypes making them easily recognizable at this locus. We detected only a single case of shared haplotypes. Intraspecific diversity in the region was high among currently recognized species (mean of 1.38%, range 0-11.79%) with respect to birds, though comparable to other bat assemblages. In 44 of 163 cases, well-supported, distinct intraspecific lineages were identified which may suggest the presence of cryptic species though mean and maximum intraspecific divergence were not good predictors of their presence. In all cases, intraspecific lineages require additional investigation using complementary molecular techniques and additional characters such as morphology and acoustic data. Our analysis provides strong support for the continued assembly of DNA barcoding libraries and ongoing taxonomic investigation of bats.Elizabeth L ClareBurton K LimM Brock FentonPaul D N HebertPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 7, p e22648 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Elizabeth L Clare Burton K Lim M Brock Fenton Paul D N Hebert Neotropical bats: estimating species diversity with DNA barcodes.
description	DNA barcoding using the cytochrome c oxidase subunit 1 gene (COI) is frequently employed as an efficient method of species identification in animal life and may also be used to estimate species richness, particularly in understudied faunas. Despite numerous past demonstrations of the efficiency of this technique, few studies have attempted to employ DNA barcoding methodologies on a large geographic scale, particularly within tropical regions. In this study we survey current and potential species diversity using DNA barcodes with a collection of more than 9000 individuals from 163 species of Neotropical bats (order Chiroptera). This represents one of the largest surveys to employ this strategy on any animal group and is certainly the largest to date for land vertebrates. Our analysis documents the utility of this tool over great geographic distances and across extraordinarily diverse habitats. Among the 163 included species 98.8% possessed distinct sets of COI haplotypes making them easily recognizable at this locus. We detected only a single case of shared haplotypes. Intraspecific diversity in the region was high among currently recognized species (mean of 1.38%, range 0-11.79%) with respect to birds, though comparable to other bat assemblages. In 44 of 163 cases, well-supported, distinct intraspecific lineages were identified which may suggest the presence of cryptic species though mean and maximum intraspecific divergence were not good predictors of their presence. In all cases, intraspecific lineages require additional investigation using complementary molecular techniques and additional characters such as morphology and acoustic data. Our analysis provides strong support for the continued assembly of DNA barcoding libraries and ongoing taxonomic investigation of bats.
format	article
author	Elizabeth L Clare Burton K Lim M Brock Fenton Paul D N Hebert
author_facet	Elizabeth L Clare Burton K Lim M Brock Fenton Paul D N Hebert
author_sort	Elizabeth L Clare
title	Neotropical bats: estimating species diversity with DNA barcodes.
title_short	Neotropical bats: estimating species diversity with DNA barcodes.
title_full	Neotropical bats: estimating species diversity with DNA barcodes.
title_fullStr	Neotropical bats: estimating species diversity with DNA barcodes.
title_full_unstemmed	Neotropical bats: estimating species diversity with DNA barcodes.
title_sort	neotropical bats: estimating species diversity with dna barcodes.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/2cdd85b73e1f47f7a781f0d2753938b6
work_keys_str_mv	AT elizabethlclare neotropicalbatsestimatingspeciesdiversitywithdnabarcodes AT burtonklim neotropicalbatsestimatingspeciesdiversitywithdnabarcodes AT mbrockfenton neotropicalbatsestimatingspeciesdiversitywithdnabarcodes AT pauldnhebert neotropicalbatsestimatingspeciesdiversitywithdnabarcodes
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Neotropical bats: estimating species diversity with DNA barcodes.

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