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Statistical tools for seed bank detection
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Blath, Jochen, Buzzoni, Eugenio, Koskela, Jere and Wilke-Berenguer, Maite (2020) Statistical tools for seed bank detection. Theoretical Population Biology, 132 . pp. 1-15. doi:10.1016/j.tpb.2020.01.001 ISSN 0040-5809.
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WRAP-statistical-tools-seed-bank-Koskela-2020.pdf - Accepted Version - Requires a PDF viewer. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (1317Kb) | Preview |
Official URL: https://doi.org/10.1016/j.tpb.2020.01.001
Abstract
We derive statistical tools to analyze the patterns of genetic variability produced by models related to seed banks; in particular the Kingman coalescent, its time-changed counterpart describing so-called weak seed banks, the strong seed bank coalescent, and the two-island structured coalescent. As (strong) seed banks stratify a population, we expect them to produce a signal comparable to population structure. We present tractable formulas for Wright’s and the expected site frequency spectrum for these models, and show that they can distinguish between some models for certain ranges of parameters. We then use pseudo-marginal MCMC to show that the full likelihood can reliably distinguish between all models in the presence of parameter uncertainty under moderate stratification, and point out statistical pitfalls arising from stratification that is either too strong or too weak. We further show that it is possible to infer parameters, and in particular determine whether mutation is taking place in the (strong) seed bank.
Item Type: | Journal Article | ||||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||||||
Journal or Publication Title: | Theoretical Population Biology | ||||||||
Publisher: | Academic Press | ||||||||
ISSN: | 0040-5809 | ||||||||
Official Date: | April 2020 | ||||||||
Dates: |
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Volume: | 132 | ||||||||
Page Range: | pp. 1-15 | ||||||||
DOI: | 10.1016/j.tpb.2020.01.001 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 15 January 2020 | ||||||||
Date of first compliant Open Access: | 13 January 2021 | ||||||||
Funder: | Funded by DFG Priority Programme 1590 "Probabilistic Structures in Evolution" project 1105/5-1, by DFG RTG 1845, by the BMS Berlin Mathematical School, and by EPSRC grant EP/R044732/1. | ||||||||
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