Literature DB >> 24620908

When can noninvasive samples provide sufficient information in conservation genetics studies?

O Smith1, J Wang.   

Abstract

Noninvasive sampling, of faeces and hair for example, has enabled many genetic studies of wildlife populations. However, two prevailing problems common to these studies are small sample sizes and high genotyping errors. The first problem stems from the difficulty in collecting noninvasive samples, particularly from populations of rare or elusive species, and the second is caused by the low quantity and quality of DNA extracted from a noninvasive sample. A common question is therefore whether noninvasive sampling provides sufficient information for the analyses commonly conducted in conservation genetics studies. Here, we conducted a simulation study to investigate the effect of small sample sizes and genotyping errors on the precision and accuracy of the most commonly estimated genetic parameters. Our results indicate that small sample sizes cause little bias in measures of expected heterozygosity, pairwise FST and population structure, but a large downward bias in estimates of allelic diversity. Allelic dropouts and false alleles had a much smaller effect than missing data, which effectively reduces sample size further. Overall, reasonable estimates of genetic variation and population subdivision are obtainable from noninvasive samples as long as error rates are kept below a frequency of 0.2. Similarly, unbiased estimates of population clustering can be made with genotyping error rates below 0.5 when the populations are highly differentiated. These results provide a useful guide for researchers faced with studying the conservation genetics of small, endangered populations from noninvasive samples.
© 2014 John Wiley & Sons Ltd.

Keywords:  Fzzm321990ST; genotyping error; heterozygosity; microsatellites; population structure; sample size

Mesh:

Year:  2014        PMID: 24620908     DOI: 10.1111/1755-0998.12250

Source DB:  PubMed          Journal:  Mol Ecol Resour        ISSN: 1755-098X            Impact factor:   7.090


  11 in total

1.  Biases of STRUCTURE software when exploring introduction routes of invasive species.

Authors:  Eric Lombaert; Thomas Guillemaud; Emeline Deleury
Journal:  Heredity (Edinb)       Date:  2018-01-17       Impact factor: 3.821

2.  Genetic Divergence in Domestic Japanese Quail Inferred from Mitochondrial DNA D-Loop and Microsatellite Markers.

Authors:  Mitsuo Nunome; Mikiharu Nakano; Ryo Tadano; Ryoka Kawahara-Miki; Tomohiro Kono; Shinji Takahashi; Takaharu Kawashima; Akira Fujiwara; Keijiro Nirasawa; Makoto Mizutani; Yoichi Matsuda
Journal:  PLoS One       Date:  2017-01-20       Impact factor: 3.240

3.  Non-invasive genetic monitoring involving citizen science enables reconstruction of current pack dynamics in a re-establishing wolf population.

Authors:  Hanna Granroth-Wilding; Craig Primmer; Meri Lindqvist; Jenni Poutanen; Olaf Thalmann; Jouni Aspi; Jenni Harmoinen; Ilpo Kojola; Toni Laaksonen
Journal:  BMC Ecol       Date:  2017-12-19       Impact factor: 2.964

4.  Genetic and genomic monitoring with minimally invasive sampling methods.

Authors:  Emma L Carroll; Mike W Bruford; J Andrew DeWoody; Gregoire Leroy; Alan Strand; Lisette Waits; Jinliang Wang
Journal:  Evol Appl       Date:  2018-03-24       Impact factor: 5.183

Review 5.  Beyond Biodiversity: Can Environmental DNA (eDNA) Cut It as a Population Genetics Tool?

Authors:  Clare I M Adams; Michael Knapp; Neil J Gemmell; Gert-Jan Jeunen; Michael Bunce; Miles D Lamare; Helen R Taylor
Journal:  Genes (Basel)       Date:  2019-03-01       Impact factor: 4.096

6.  Complex problems need detailed solutions: Harnessing multiple data types to inform genetic management in the wild.

Authors:  Catherine E Grueber; Samantha Fox; Elspeth A McLennan; Rebecca M Gooley; David Pemberton; Carolyn J Hogg; Katherine Belov
Journal:  Evol Appl       Date:  2018-12-26       Impact factor: 5.183

7.  Standardization and validation of a panel of cross-species microsatellites to individually identify the Asiatic wild dog (Cuon alpinus).

Authors:  Shrushti Modi; Bilal Habib; Pallavi Ghaskadbi; Parag Nigam; Samrat Mondol
Journal:  PeerJ       Date:  2019-09-02       Impact factor: 2.984

8.  The curse of observer experience: Error in noninvasive genetic sampling.

Authors:  Jillian M Soller; David E Ausband; Micaela Szykman Gunther
Journal:  PLoS One       Date:  2020-03-13       Impact factor: 3.240

9.  From promise to practice: pairing non-invasive sampling with genomics in conservation.

Authors:  Michael A Russello; Matthew D Waterhouse; Paul D Etter; Eric A Johnson
Journal:  PeerJ       Date:  2015-07-21       Impact factor: 2.984

10.  Assessing SNP genotyping of noninvasively collected wildlife samples using microfluidic arrays.

Authors:  Alina von Thaden; Berardino Cocchiararo; Anne Jarausch; Hannah Jüngling; Alexandros A Karamanlidis; Annika Tiesmeyer; Carsten Nowak; Violeta Muñoz-Fuentes
Journal:  Sci Rep       Date:  2017-09-07       Impact factor: 4.379

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