Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1111/mec.14438 |
Ecological disturbance influences adaptive divergence despite high gene flow in golden perch (Macquaria ambigua): Implications for management and resilience to climate change | |
Attard, Catherine R. M.1; Brauer, Chris J.1; Sandoval-Castillo, Jonathan1; Faulks, Leanne K.1,2; Unmack, Peter J.3; Gilligan, Dean M.4; Beheregaray, Luciano B.1 | |
通讯作者 | Beheregaray, Luciano B. |
来源期刊 | MOLECULAR ECOLOGY
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ISSN | 0962-1083 |
EISSN | 1365-294X |
出版年 | 2018 |
卷号 | 27期号:1页码:196-215 |
英文摘要 | 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. |
英文关键词 | ddRAD-seq ecological genomics environmental heterogeneity generalist freshwater fish landscape genomics riverscape genomics |
类型 | Article |
语种 | 英语 |
国家 | Australia ; Japan |
收录类别 | SCI-E |
WOS记录号 | WOS:000424111400014 |
WOS关键词 | FRESH-WATER FISH ; NF-KAPPA-B ; MURRAY-DARLING BASIN ; COD MACCULLOCHELLA-PEELII ; MULTILOCUS GENOTYPE DATA ; SOUTH-EASTERN AUSTRALIA ; POPULATION-STRUCTURE ; LOCAL ADAPTATION ; PAIRWISE RELATEDNESS ; NATURAL-SELECTION |
WOS类目 | Biochemistry & Molecular Biology ; Ecology ; Evolutionary Biology |
WOS研究方向 | Biochemistry & Molecular Biology ; Environmental Sciences & Ecology ; Evolutionary Biology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/211705 |
作者单位 | 1.Flinders Univ S Australia, Coll Sci & Engn, Mol Ecol Lab, Adelaide, SA, Australia; 2.Univ Tsukuba, Mt Sci Ctr, Sugadaira Res Stn, Nagano, Japan; 3.Univ Canberra, Inst Appl Ecol, Canberra, ACT, Australia; 4.Batemans Bay Fisheries Ctr, New South Wales Dept Primary Ind, Batemans Bay, NSW, Australia |
推荐引用方式 GB/T 7714 | Attard, Catherine R. M.,Brauer, Chris J.,Sandoval-Castillo, Jonathan,et al. Ecological disturbance influences adaptive divergence despite high gene flow in golden perch (Macquaria ambigua): Implications for management and resilience to climate change[J],2018,27(1):196-215. |
APA | Attard, Catherine R. M..,Brauer, Chris J..,Sandoval-Castillo, Jonathan.,Faulks, Leanne K..,Unmack, Peter J..,...&Beheregaray, Luciano B..(2018).Ecological disturbance influences adaptive divergence despite high gene flow in golden perch (Macquaria ambigua): Implications for management and resilience to climate change.MOLECULAR ECOLOGY,27(1),196-215. |
MLA | Attard, Catherine R. M.,et al."Ecological disturbance influences adaptive divergence despite high gene flow in golden perch (Macquaria ambigua): Implications for management and resilience to climate change".MOLECULAR ECOLOGY 27.1(2018):196-215. |
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