Literature DB >> 19761856

Estimating sample sizes for DNA barcoding.

A B Zhang1, L J He, R H Crozier, C Muster, C-D Zhu.   

Abstract

Sample size has long been one of the basic issues since the start of the DNA barcoding initiative and the global biodiversity investigation. As a contribution to resolving this problem, we propose a simple resampling approach to estimate several key sampling sizes for a DNA barcoding project. We illustrate our approach using both structured populations simulated under coalescent and real species of skipper butterflies. We found that sample sizes widely used in DNA barcoding are insufficient to assess the genetic diversity of a species, population structure impacts the estimation of the sample sizes, and hence will bias the species identification potentially. Copyright 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19761856     DOI: 10.1016/j.ympev.2009.09.014

Source DB:  PubMed          Journal:  Mol Phylogenet Evol        ISSN: 1055-7903            Impact factor:   4.286


  28 in total

1.  Evolution of modern birds revealed by mitogenomics: timing the radiation and origin of major orders.

Authors:  M Andreína Pacheco; Fabia U Battistuzzi; Miguel Lentino; Roberto F Aguilar; Sudhir Kumar; Ananias A Escalante
Journal:  Mol Biol Evol       Date:  2011-01-17       Impact factor: 16.240

2.  The effect of geographical scale of sampling on DNA barcoding.

Authors:  Johannes Bergsten; David T Bilton; Tomochika Fujisawa; Miranda Elliott; Michael T Monaghan; Michael Balke; Lars Hendrich; Joja Geijer; Jan Herrmann; Garth N Foster; Ignacio Ribera; Anders N Nilsson; Timothy G Barraclough; Alfried P Vogler
Journal:  Syst Biol       Date:  2012-03-07       Impact factor: 15.683

3.  Systematic and evolutionary insights derived from mtDNA COI barcode diversity in the Decapoda (Crustacea: Malacostraca).

Authors:  Joana Matzen da Silva; Simon Creer; Antonina dos Santos; Ana C Costa; Marina R Cunha; Filipe O Costa; Gary R Carvalho
Journal:  PLoS One       Date:  2011-05-12       Impact factor: 3.240

4.  Barcoding a quantified food web: crypsis, concepts, ecology and hypotheses.

Authors:  M Alex Smith; Eldon S Eveleigh; Kevin S McCann; Mark T Merilo; Peter C McCarthy; Kathleen I Van Rooyen
Journal:  PLoS One       Date:  2011-07-06       Impact factor: 3.240

5.  The Hawaiian Rhodophyta Biodiversity Survey (2006-2010): a summary of principal findings.

Authors:  Alison R Sherwood; Akira Kurihara; Kimberly Y Conklin; Thomas Sauvage; Gernot G Presting
Journal:  BMC Plant Biol       Date:  2010-11-22       Impact factor: 4.215

6.  A new method for species identification via protein-coding and non-coding DNA barcodes by combining machine learning with bioinformatic methods.

Authors:  Ai-bing Zhang; Jie Feng; Robert D Ward; Ping Wan; Qiang Gao; Jun Wu; Wei-zhong Zhao
Journal:  PLoS One       Date:  2012-02-20       Impact factor: 3.240

7.  DNA barcodes for 1/1000 of the animal kingdom.

Authors:  Paul D N Hebert; Jeremy R Dewaard; Jean-François Landry
Journal:  Biol Lett       Date:  2009-12-16       Impact factor: 3.703

8.  Sampling strategy and potential utility of indels for DNA barcoding of closely related plant species: a case study in taxus.

Authors:  Jie Liu; Jim Provan; Lian-Ming Gao; De-Zhu Li
Journal:  Int J Mol Sci       Date:  2012-07-13       Impact factor: 6.208

9.  A multi-locus approach to barcoding in the Anopheles strodei subgroup (Diptera: Culicidae).

Authors:  Brian Patrick Bourke; Tatiane Porangaba Oliveira; Lincoln Suesdek; Eduardo Sterlino Bergo; Maria Anice Mureb Sallum
Journal:  Parasit Vectors       Date:  2013-04-19       Impact factor: 3.876

10.  Reexamination of the species assignment of Diacavolinia pteropods using DNA barcoding.

Authors:  Amy E Maas; Leocadio Blanco-Bercial; Gareth L Lawson
Journal:  PLoS One       Date:  2013-01-15       Impact factor: 3.240

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