Volume 27, Issue 1 p. 196-215
ORIGINAL ARTICLE

Ecological disturbance influences adaptive divergence despite high gene flow in golden perch (Macquaria ambigua): Implications for management and resilience to climate change

Catherine R. M. Attard

Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, Australia

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Chris J. Brauer

Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, Australia

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Jonathan Sandoval‐Castillo

Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, Australia

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Leanne K. Faulks

Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, Australia

Sugadaira Research Station, Mountain Science Center, University of Tsukuba, Nagano, Japan

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Peter J. Unmack

Institute for Applied Ecology, University of Canberra, Canberra, ACT, Australia

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Dean M. Gilligan

New South Wales Department of Primary Industries, Batemans Bay Fisheries Centre, Batemans Bay, NSW, Australia

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Luciano B. Beheregaray

Corresponding Author

Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, Australia

Correspondence

Luciano B. Beheregaray, Molecular Ecology Laboratory, College of Science and Engineering, Flinders University, Adelaide, SA, Australia.

Email: luciano.beheregaray@flinders.edu.au

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First published: 22 November 2017
Citations: 16

Abstract

Populations that are adaptively divergent but maintain high gene flow may have greater resilience to environmental change as gene flow allows the spread of alleles that have already been tested elsewhere. In addition, populations naturally subjected to ecological disturbance may already hold resilience to future environmental change. Confirming this necessitates ecological genomic studies of high dispersal, generalist species. Here we perform one such study on golden perch (Macquaria ambigua) in the Murray‐Darling Basin (MDB), Australia, using a genome‐wide SNP data set. The MDB spans across arid to wet and temperate to subtropical environments, with low to high ecological disturbance in the form of low to high hydrological variability. We found high gene flow across the basin and three populations with low neutral differentiation. Genotype–environment association analyses detected adaptive divergence predominantly linked to an arid region with highly variable riverine flow, and candidate loci included functions related to fat storage, stress and molecular or tissue repair. The high connectivity of golden perch in the MDB will likely allow locally adaptive traits in its most arid and hydrologically variable environment to spread and be selected in localities that are predicted to become arid and hydrologically variable in future climates. High connectivity in golden perch is likely due to their generalist life history and efforts of fisheries management. Our study adds to growing evidence of adaptation in the face of gene flow and highlights the importance of considering ecological disturbance and adaptive divergence in biodiversity management.

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