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Estimating allelic richness: Effects of sample size and bottlenecks
Abstract
Although differences in sampling intensity can bias comparisons of allelic richness (A) among populations, investigators often fail to correct estimates of A for differences in sample size. Methods that standardize A on the basis of the size of the smallest number of samples in a comparison are preferable to other approaches. Rarefaction and repeated random subsampling provide unbiased estimates of A with the greatest precision and thus provide greatest statistical power to detect differences in variation. Less promising approaches, in terms of bias or precision, include single random subsampling, eliminating very small samples, using sample size as a covariate or extrapolating estimates obtained from small samples to a larger number of individuals.
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Cited by
Counting Alleles with Rarefaction: Private Alleles and Hierarchical Sampling Designs
Kalinowski, S. T. (2004) · Conservation Genetics · doi:10.1023/b:coge.0000041021.91777.1a · Cited by 722
OLSEN, J. L., STAM, W. T., COYER, J. A., REUSCH, T. B. H., BILLINGHAM, M., BOSTRÖM, C., CALVERT, E., CHRISTIE, H., GRANGER, S., LUMIÈRE, R. L., et al. (2004) · Molecular Ecology · doi:10.1111/j.1365-294x.2004.02205.x · Cited by 291
Hale, M. C., McCormick, C. R., Jackson, J. R., & DeWoody, J. A. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-203 · Cited by 163
Vuković, R., Liber, Z., Ježić, M., Sotirovski, K., & Ćurković‐Perica, M. (2019) · Environmental Microbiology · doi:10.1111/1462-2920.14742 · Cited by 6
Metadata
- Authors
- Leberg, P. L.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2002-11
- Volume
- 11
- Issue
- 11
- Pages
- 2445-2449
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2104324437
- Cited by
- 606
- References
- 0
- FWCI
- 8.00
- Type
- journal article
- Language
- en
- Open access
- closed
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