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Reliability of genetic bottleneck tests for detecting recent population declines
Open accessAbstract
The identification of population bottlenecks is critical in conservation because populations that have experienced significant reductions in abundance are subject to a variety of genetic and demographic processes that can hasten extinction. Genetic bottleneck tests constitute an appealing and popular approach for determining if a population decline has occurred because they only require sampling at a single point in time, yet reflect demographic history over multiple generations. However, a review of the published literature indicates that, as typically applied, microsatellite‐based bottleneck tests often do not detect bottlenecks in vertebrate populations known to have experienced declines. This observation was supported by simulations that revealed that bottleneck tests can have limited statistical power to detect bottlenecks largely as a result of limited sample sizes typically used in published studies. Moreover, commonly assumed values for mutation model parameters do not appear to encompass variation in microsatellite evolution observed in vertebrates and, on average, the proportion of multi‐step mutations is underestimated by a factor of approximately two. As a result, bottleneck tests can have a higher probability of ‘detecting’ bottlenecks in stable populations than expected based on the nominal significance level. We provide recommendations that could add rigor to inferences drawn from future bottleneck tests and highlight new directions for the characterization of demographic history.
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“Although no bottleneck was detected, we cannot exclude false negatives caused by small sample sizes and subsequent limited statistical power in this data set (Peery et al. 2012).”
From Population genetics of the brooding coral Seriatopora hystrix reveals patterns of strong genetic differentiation in the Western Indian Ocean (2021) · cites this paper as Peery et al. 2012
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Citations
Cites
Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.
Tajima, F. (1989) · Genetics · doi:10.1093/genetics/123.3.585 · Cited by 14,056
BEAST: Bayesian evolutionary analysis by sampling trees
Drummond, A. J., & Rambaut, A. (2007) · BMC Evolutionary Biology · doi:10.1186/1471-2148-7-214 · Cited by 13,104
Cornuet, J. M., & Luikart, G. (1996) · Genetics · doi:10.1093/genetics/144.4.2001 · Cited by 4,365
Inbreeding effects in wild populations
Keller, L. F. (2002) · Trends in Ecology & Evolution · doi:10.1016/s0169-5347(02)02489-8 · Cited by 3,375
Piry, S., Luikart, G., & Cornuet, J. (1999) · Journal of Heredity · doi:10.1093/jhered/90.4.502 · Cited by 3,356
THE BOTTLENECK EFFECT AND GENETIC VARIABILITY IN POPULATIONS
Nei, M., Maruyama, T., & Chakraborty, R. (1975) · Evolution · doi:10.1111/j.1558-5646.1975.tb00807.x · Cited by 3,223
Bayesian Coalescent Inference of Past Population Dynamics from Molecular Sequences
Drummond, A. J. (2005) · Molecular Biology and Evolution · doi:10.1093/molbev/msi103 · Cited by 3,094
Analysis and Management of Animal Populations
Grand, J. B., Williams, B. K., Nichols, J. D., & Conroy, M. J. (2003) · Journal of Wildlife Management · doi:10.2307/3802722 · Cited by 2,671
Genome-wide genetic marker discovery and genotyping using next-generation sequencing
Davey, J. W., Hohenlohe, P. A., Etter, P. D., Boone, J. Q., Catchen, J., & Blaxter, M. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3012 · Cited by 2,489
Microsatellites: simple sequences with complex evolution
Ellegren, H. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1348 · Cited by 2,429
Research works printed but not linked: 5
- Hudson RR, 1990, Oxford Survey in Evolutionary Biology, 1
- NMFS, 2010, Bi‐National Recovery Plan for the Kemp’s Ridley Sea Turtle (Lepidochelys kempii)
- Soulé ME, 1980, Conservation Biology: An Evolutionary‐Ecological Perspective, 151
- USFWS, 2010, Draft Revised Recovery Plan for the Northern Spotted Owl
- USFWS, 2010, Mexican Wolf Conservation Assessment
Cited by
Sorted by citations
Items 501–577 of 577
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Ramírez, M. G., Cashin, B. V., Ponce, L. J., Chi, B., & Lum, P. L. (2013)
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Olsen, J., Wenburg, J., Pavey, S., Miller, J. L., & Hamon, T. R. (2017) · Transactions of the American Fisheries Society · doi:10.1080/00028487.2017.1362472
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Zarranz, M. E., Manent, P., & Robaina, R. R. (2017) · Journal of Coastal Research · doi:10.2112/jcoastres-d-17-00025.1
Pettersen, R. A. (2018) · NORA - Norwegian Open Research Archives
Yamamoto, M., Sugawara, H., Fukushima, K., Setoguchi, H., & Kurata, K. (2020) · Journal of Threatened Taxa · doi:10.11609/jott.6532.12.17.17263-17275
Holmes, I. A. (2020) · Deep Blue (University of Michigan)
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Lawrence, A. J., Carleton, S. A., Oyler‐McCance, S. J., DeYoung, R. W., Nichols, C. T., & Wright, T. F. (2025) · Ecology and Evolution · doi:10.1002/ece3.70879
Lau, A., Tseng, S., Karraker, N. E., & Dudgeon, D. L. (2025) · Ecology and Evolution · doi:10.1002/ece3.70849
Pearson, L. S., Selman, W., Kreiser, B. R., Lindeman, P. V., & Jones, R. L. (2025) · Journal of Wildlife Management · doi:10.1002/jwmg.70091
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Kriukov, V., Bastin, L., Serral, I., Rahman, R., & Masó, J. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5573922
Kamdem, N. G., Sonké, B., Sergeant, S., Stévart, T., Deblauwe, V., & Hardy, O. J. (2025) · BMC Ecology and Evolution · doi:10.1186/s12862-025-02483-8
Gomard, Y., Sanchez, M., Caubit, M., Roesch, M. A., Bonanno, A., & Clémencet, J. (2025) · PLoS ONE · doi:10.1371/journal.pone.0338217
Kim, E., Kim, K.-R., Hwang, Y., Jeong, J.-H., Goh, J., Yu, J.-N., & Lee, M. (2025) · Plants · doi:10.3390/plants14243806
Single nucleotide polymorphisms in northeast European wolves (Canis lupus)
Fröstl, F. J. (2013) · Epsilon Archive for Student Projects (University of Southampton)
Hamilton, N., Light, J. E., & Morrison, M. L. (2025) · Journal of Mammalogy · doi:10.1093/jmammal/gyaf091
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Colosimo, G., Dykema, Z. A., Welch, M. E., Gentile, G., Perry, G., Harlow, Z., & Gerber, G. P. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.18.705091
Jiang, C., Mohamed, N., Mremi, R. F., Liu, X., Mayengo, G., Liu, Y., Mwaya, R. T., Zhu, W., Gao, Y., & Li, B. (2026) · iScience · doi:10.1016/j.isci.2026.115142
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Altman-Orbach, M., & Auteri, G. G. (2026) · Research Square · doi:10.21203/rs.3.rs-8734754/v1
Koch, H., O’Neill, A., & Estep, M. C. (2026) · Conservation Genetics · doi:10.1007/s10592-026-01761-2
Santiago-Plata, V. M., Adams, J. R., Rachlow, J. L., Hurtado, C. M., García-Olaechea, Á., Levi, T., & Waits, L. P. (2026) · Genes · doi:10.3390/genes17030320
Celemín, E., Acevedo, J., Hagberg, L., Castro, C., Castrillón, J., Valenzuela, P., Pastene, L. A., & Tiedemann, R. (2026) · Communications Biology · doi:10.1038/s42003-026-10037-x
Colosimo, G., Dykema, Z. A., Welch, M. E., Perry, G., Harlow, Z., Davis, H., Bradley, K. A., Gentile, G., & Gerber, G. P. (2026) · Conservation Genetics · doi:10.1007/s10592-026-01800-y
Esin, E. V., Simonov, E., Zinevich, L. S., Medvedev, D., Melnik, N. O., Levin, B., & Маркевич, Г. Н. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7036094
Kroeze, S. L., Otis, G. W., Linton, J. E., Norris, D. R., Westwood, R., Brewster, A. L. E., & Keyghobadi, N. (2026) · Insect Conservation and Diversity · doi:10.1111/icad.70111
O'Regan, K., Ryan, L., & Hughes, G. M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.03.742608
Molnár, L., Stéger, V., & Zenke, P. (2026) · Genes · doi:10.3390/genes17080929
Lipa, W., Iacolina, L., & Dzialuk, A. (2026) · Biotechnologia · doi:10.5114/bta/226392
Oreha, J., Morozova, A., Ragauskas, A., Butkauskas, D., & Škute, N. (2026) · Diversity · doi:10.3390/d18090561
Yao, J., Lv, F., Huang, Z., Wang, Y., Yang, R., Shu, W., Wang, J., & Zhai, J. (2026) · Global Ecology and Conservation · doi:10.1016/j.gecco.2026.e04453
Vasconcellos, D. M., Lacerda, A. L., Proietti, M. C., & Haimovici, M. (2026) · Neotropical Ichthyology · doi:10.1590/1982-0224-2025-0161
DeWolf, S., Siegel, S. J., Schmalz, J., Saber, W., Albanese, A., Dong, J., Martens, M. J., Logan, B. R., Iovino, L., Omdahl, K. I., et al. (2026) · Science Translational Medicine · doi:10.1126/scitranslmed.aef7406
Data from: How old are you? Genet age estimates in a clonal animal
Devlin-Durante, M. K., Miller, M. W., Caribbean Acropora Research Group, Precht, W. F., & Baums, I. B. (2016) · Data Archiving and Networked Services (DANS) · doi:10.5061/dryad.f6600.1
Dutta, T., Sharma, S., Maldonado, J. E., Wood, T. C., Panwar, H. S., & Seidensticker, J. (2013) · Data Archiving and Networked Services (DANS) · doi:10.5061/dryad.16vm1
Metadata
- Authors
- PEERY, M. Z., KIRBY, R., REID, B. N., STOELTING, R., DOUCET‐BËER, E., ROBINSON, S., VÁSQUEZ‐CARRILLO, C., PAULI, J. N., & PALSBØLL, P. J.
- Affiliations
- University of Wisconsin–Madison (US)
- Harvard University (US)
- Corresponding author
- PEERY, M. ZACHARIAH
- ORCID
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2012-05-30
- Volume
- 21
- Issue
- 14
- Pages
- 3403-3418
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2127249590
- Cited by
- 578
- References
- 93
- Citations by year
- 2026: 21 · 2025: 29 · 2024: 32 · 2023: 30 · 2022: 57 · 2021: 38 · 2020: 44 · 2019: 39 · 2018: 37 · 2017: 61 · 2016: 48 · 2015: 56 · 2014: 45 · 2013: 37 · 2012: 4
- FWCI
- 5.61
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Molecular Ecology (publishedVersion)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Funders
- National Science Foundation
- U.S. Environmental Protection Agency
- Harvard University
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Keywords
- population decline detection, microsatellite markers, statistical power, mutation models, sample size, false positives, vertebrate populations, conservation genetics, demographic history
- MeSH terms
- Animals, Computer Simulation, Genetics, Population, Models, Genetic, Mutation, Population Dynamics, Vertebrates, Microsatellite Repeats
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