Open Collections

UBC Research Data

Data from: Establishment and maintenance of adaptive genetic divergence under migration, selection, and drift Yeaman, Sam; Otto, Sarah P.

Description

<b>Abstract</b><br/>There is a long tradition in population genetics of exploring the maintenance of variation under migration-selection balance using deterministic models that assume infinite population size. With finite population size, stochastic dynamics can greatly reduce the potential for the maintenance of polymorphism, but this has yet to be explored in detail. Here, classical two-patch models are extended to predict: i) the probability of a locally beneficial mutation rising in frequency in the patch where it is favored, and ii) the critical threshold migration rate above which the maintenance of polymorphism is much less likely. Individual-based simulations show that these approximations provide accurate predictions across a wide range of parameter space.; <b>Usage notes</b><br /><div class="o-metadata__file-usage-entry"><h4 class="o-heading__level3-file-title">yeaman_otto_whitlock_2011_source_code_documentation</h4><div class="o-metadata__file-name"></div></div>

Item Metadata

Title	Data from: Establishment and maintenance of adaptive genetic divergence under migration, selection, and drift
Creator	Yeaman, Sam; Otto, Sarah P.
Date Issued	2021-05-19
Description	<b>Abstract</b><br/>There is a long tradition in population genetics of exploring the maintenance of variation under migration-selection balance using deterministic models that assume infinite population size. With finite population size, stochastic dynamics can greatly reduce the potential for the maintenance of polymorphism, but this has yet to be explored in detail. Here, classical two-patch models are extended to predict: i) the probability of a locally beneficial mutation rising in frequency in the patch where it is favored, and ii) the critical threshold migration rate above which the maintenance of polymorphism is much less likely. Individual-based simulations show that these approximations provide accurate predictions across a wide range of parameter space.; <b>Usage notes</b><br /><div class="o-metadata__file-usage-entry"><h4 class="o-heading__level3-file-title">yeaman_otto_whitlock_2011_source_code_documentation</h4><div class="o-metadata__file-name"></div></div>
Subject	Other; gene flow; environmental heterogeneity; genetic drift; migration-selection balance
Type	Dataset
Notes	Dryad version number: 1</p> Version status: submitted</p> Dryad curation status: Published</p> Sharing link: https://datadryad.org/stash/share/wTosObywITy8LZOUeHxmKjb5tOX40httj_E-qC_Tq-s</p> Storage size: 460016</p> Visibility: public</p>
Date Available	2020-06-24
Provider	University of British Columbia Library
License	This dataset is made available under a Creative Commons CC0 license with the following additional/modified terms and conditions: CC0 Waiver
DOI	10.14288/1.0397924
URI	https://doi.org/10.5683/SP2/SZGXZZ
Publisher DOI	https://doi.org/10.5683/SP2/SZGXZZ; https://doi.org/10.5061/dryad.8651
Rights URI	https://creativecommons.org/publicdomain/zero/1.0/
Aggregated Source Repository	Dataverse

Item Media

Item Citations and Data

Licence

This dataset is made available under a Creative Commons CC0 license with the following additional/modified terms and conditions: CC0 Waiver