title: When can noninvasive samples provide sufficient information in conservation genetics studies?
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.
authors.affiliation: Division of Biology, Imperial College London, Silwood Park, Ascot, Berks, London, SL5 7PY, UK; Institute of Zoology, Zoological Society of London, Regent's Park, London, NW1 4RY, UK.
authors.forename: O
authors.initials: O
authors.lastname: Smith
authors.forename: J
authors.initials: J
authors.lastname: Wang
mesh_terms: D000818:Animals; D000835:Animals, Wild; D003198:Computer Simulation; D003247:Conservation of Natural Resources / Q000379:methods*; D003951:Diagnostic Errors; D005787:Gene Frequency; D014644:Genetic Variation; D060005:Genotyping Techniques / Q000379:methods*; D008967:Molecular Biology / Q000379:methods*; D013048:Specimen Handling / Q000379:methods*
keywords: F
  ST; genotyping error; heterozygosity; microsatellites; population structure; sample size