Biases associated with population estimation using molecular tagging

By Juliann L. Waits, P. Leberg. 2000

201 citations recorded by the source corpus.

Subfields: Ecology, Genetics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ba8b9b03b02fba2d846c9ca3c3107facff95f46c

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Citations in the corpus

Importance of a pilot study for non-invasive genetic sampling: genotyping errors and population size estimation in red deer (2006, background): “Also, as the bias due to genotyping errors could be very high for population size estimates (see Waits and Leberg 2000), multiple PCR amplifications per sample and locus should be conducted.”
Demographic monitoring of an entire species (the northern hairy‐nosed wombat, Lasiorhinus krefftii) by genetic analysis of non‐invasively collected material (2003, background): “Because of this, population size estimates based on the sampling of genotypes are correctly estimates of the number of genotypes in the population and these may underestimate the number of individuals (Mills et al., 2000; Waits & Leberg, 2000).”
Strong maternal fidelity and natal philopatry shape genetic structure in North Pacific humpback whales (2013, unknown): “To avoid the potential for false exclusion due to dropout or other genotyping errors (Waits & Leberg 2000, Waits et al. 2001), we used an initial relaxed criterion that allowed for mismatches at up to 4 loci.”
An evaluation of field and noninvasive genetic methods for estimating Eurasian otter population size (2009, background): “An important issue in NGS studies is the detection and elimination of genotyping errors, as their occurrence can strongly bias population size estimates ( Waits and Leberg 2000; Creel et al. 2003; Pompanon et al. 2005).”
Piloting a Non-Invasive Genetic Sampling Method for Evaluating Population-Level Benefits of Wildlife Crossing Structures (2010, result): “These factors can lead to reduced amplification success or unacceptable genotyping error rates (Goossens et al. 1998), making studies unfeasible or biasing results (Waits and Leberg 2000, Creel et al. 2003).”
Colonization History and Noninvasive Monitoring of a Reestablished Wolverine Population (2004, background): “Rather, cautionary tales against noncritical use of these techniques have emerged (Taberlet et al. 1999; Waits & Leberg 2000), emphasizing the many pitfalls but also providing guidelines for minimizing the problems.”
Hybridization Between Canada Lynx and Bobcats: Genetic Results and Management Implications (2004, background): “Because the DNA from hair is subject to allelic dropout and other genotyping errors (Taberlet et al. 1996, 1999; Gagneux et al. 1997; Goossens et al. 1998; Waits and Leberg 2000; Creel et al. 2003) we attempted to analyze each hair or scat sample three times at each locus.”
Abundance of humpback whales in Oceania using photo-identification and microsatellite genotyping (2012, background): “Given the large number of loci and the potential for false exclusion because of allelic dropout and other genotype error (Waits & Leberg 2000, Waits et al. 2001), the initial comparisons allowed for mismatches at up to 3 loci.”
Estimating the probability of identity among genotypes in natural populations: cautions and guidelines (2001, background): “Waits & Leberg (2000) have demonstrated that microsatellite genotyping errors can inflate mark–recapture population estimates up to 200% when genotyping seven to 10 loci.”
Remote collection of animal DNA and its applications in conservation management and understanding the population biology of rare and cryptic species (2003, background): “Failure to adequately distinguish individuals could result in an underestimate of population size, particularly if the population is composed of closely related individuals such as siblings, which are much more likely than unrelated pairs to share a genotype (Waits and Leberg 2000).”
Automated binning of microsatellite alleles: problems and solutions (2006, background): “2003; Waits & Leberg 2003) and parental exclusion (Hoffman & Amos 2005a, b).”
How to track and assess genotyping errors in population genetics studies (2004, background): “Case study 1: microsatellites from brown bear tissues In total, 1209 alleles were compared, i.e. 34 samples typed for 36 alleles, except for 15 alleles that could be typed for only one extract but not the other.”