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Sun skink landscape genomics: assessing the roles of micro‐evolutionary processes in shaping genetic and phenotypic diversity across a heterogeneous and fragmented landscape
Author(s) -
Barley Anthony J.,
Monnahan Patrick J.,
Thomson Robert C.,
Grismer L. Lee,
Brown Rafe M.
Publication year - 2015
Publication title -
molecular ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.619
H-Index - 225
eISSN - 1365-294X
pISSN - 0962-1083
DOI - 10.1111/mec.13151
Subject(s) - biology , ecology , evolutionary biology , ecological genetics , population fragmentation , isolation by distance , population , population genomics , population genetics , selection (genetic algorithm) , gene flow , genomics , genetic variation , genome , genetics , gene , demography , artificial intelligence , sociology , computer science
Incorporating genomic data sets into landscape genetic analyses allows for powerful insights into population genetics, explicitly geographical correlates of selection, and morphological diversification of organisms across the geographical template. Here, we utilize an integrative approach to examine gene flow and detect selection, and we relate these processes to genetic and phenotypic population differentiation across South‐East Asia in the common sun skink, Eutropis multifasciata . We quantify the relative effects of geographic and ecological isolation in this system and find elevated genetic differentiation between populations from island archipelagos compared to those on the adjacent South‐East Asian continent, which is consistent with expectations concerning landscape fragmentation in island archipelagos. We also identify a pattern of isolation by distance, but find no substantial effect of ecological/environmental variables on genetic differentiation. To assess whether morphological conservatism in skinks may result from stabilizing selection on morphological traits, we perform F ST – P ST comparisons, but observe that results are highly dependent on the method of comparison. Taken together, this work provides novel insights into the manner by which micro‐evolutionary processes may impact macro‐evolutionary scale biodiversity patterns across diverse landscapes, and provide genomewide confirmation of classic predictions from biogeographical and landscape ecological theory.