DNA barcoding of Neotropical bats: species identification and discovery within Guyana

ДНК-баркодирование неотропических рукокрылых: идентификация и выявление видов в Гайане
Elizabeth L. Clare, Burton K. Lim, Mark D. Engstrom, Judith L. Eger, Paul D. N. Hebert
2007-01-12

DNA barcodingGuyanabat species identificationcytochrome c oxidase subunit 1species complexes
Abstract Sequence diversity in the cytochrome c oxidase subunit 1 gene has been shown to be an effective tool for species identification and discovery in various groups of animals, but has not been extensively tested in mammals. We address this gap by examining the performance of DNA barcodes in the discrimination of 87 species of bats from Guyana. Eighty‐one of these species showed both low intraspecific variation (mean = 0.60%), and clear sequence divergence from their congeners (mean = 7.80%), while the other six showed deeply divergent intraspecific lineages suggesting that they represent species complexes. Although further work is needed to examine patterns of sequence diversity at a broader geographical scale, the present study validates the effectiveness of barcoding for the identification of regional bat assemblages, even highly diverse tropical faunas.
1
Broader geographic sampling is needed to assess whether observed sequence-diversity patterns generalize beyond Guyana.
2
Cytochrome c oxidase subunit 1 DNA barcodes effectively discriminated 87 bat species from Guyana.
3
Eighty-one species exhibited low mean intraspecific variation of 0.60% and clear mean divergence from congeners of 7.80%.
4
Six species contained deeply divergent intraspecific lineages, suggesting they represent species complexes.
5
The study validates DNA barcoding for identifying regional bat assemblages, including highly diverse tropical faunas.

87 bat species from Guyana (Neotropical bat assemblages)

The effectiveness of cytochrome c oxidase subunit 1 (COI) DNA barcodes for species discrimination and discovery, including intraspecific variation and divergence among congeners

Publication Details
Publication Date
2007-01-12
Journal
Publisher
ISSN
Access Type
Author Information
Authors
Elizabeth L. Clare
Burton K. Lim
Mark D. Engstrom
Judith L. Eger
Paul D. N. Hebert
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%