Consequences of population topology for studying gene flow using link‐based landscape genetic methods. Issue 14 (2nd June 2017)

• Record Type: Journal Article
• Authors: van Strien, Maarten J.
• Is Part Of: Ecology and evolution. Volume 7:Issue 14(2017:Aug.)
• Page Start: 5070
• Page End: 5081
• Publication Date: 2017-06-02
• Subjects: distance matrices -- maximum dispersal distance -- population networks; Ecology -- Periodicals; Evolution -- Periodicals; 577.05
• DOI: 10.1002/ece3.3075
• Languages: English
• ISSNs: 2045-7758

Abstract

Abstract: Many landscape genetic studies aim to determine the effect of landscape on gene flow between populations. These studies frequently employ link‐based methods that relate pairwise measures of historical gene flow to measures of the landscape and the geographical distance between populations. However, apart from landscape and distance, there is a third important factor that can influence historical gene flow, that is, population topology (i.e., the arrangement of populations throughout a landscape). As the population topology is determined in part by the landscape configuration, I argue that it should play a more prominent role in landscape genetics. Making use of existing literature and theoretical examples, I discuss how population topology can influence results in landscape genetic studies and how it can be taken into account to improve the accuracy of these results. In support of my arguments, I have performed a literature review of landscape genetic studies published during the first half of 2015 as well as several computer simulations of gene flow between populations. First, I argue why one should carefully consider which population pairs should be included in link‐based analyses. Second, I discuss several ways in which the population topology can be incorporated in response and explanatory variables. Third, I outline why it is important to sample populations in such a way that a good representation of the population topology is obtained. Fourth, I discuss how statistical testing for link‐based approaches could be influenced by the population topology. I conclude the article with six recommendations geared toward better incorporating population topology in link‐based landscape genetic studies. Abstract : Although rarely considered in landscape genetics, population topology can have profound effects on the assessment of gene flow with link‐based methods. In this article, I describe what changes could be made to landscape genetic analyses in order to better incorporate population topology. Ultimately these changes can lead to more reliable results.