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Hoban S, Kelley JL, Lotterhos KE, Antolin MF, Bradburd G, Lowry DB, Poss ML, Reed LK, Storfer A, Whitlock MC. Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions. Am Nat 2016; 188:379-97. [PMID: 27622873 PMCID: PMC5457800 DOI: 10.1086/688018] [Citation(s) in RCA: 438] [Impact Index Per Article: 54.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Uncovering the genetic and evolutionary basis of local adaptation is a major focus of evolutionary biology. The recent development of cost-effective methods for obtaining high-quality genome-scale data makes it possible to identify some of the loci responsible for adaptive differences among populations. Two basic approaches for identifying putatively locally adaptive loci have been developed and are broadly used: one that identifies loci with unusually high genetic differentiation among populations (differentiation outlier methods) and one that searches for correlations between local population allele frequencies and local environments (genetic-environment association methods). Here, we review the promises and challenges of these genome scan methods, including correcting for the confounding influence of a species' demographic history, biases caused by missing aspects of the genome, matching scales of environmental data with population structure, and other statistical considerations. In each case, we make suggestions for best practices for maximizing the accuracy and efficiency of genome scans to detect the underlying genetic basis of local adaptation. With attention to their current limitations, genome scan methods can be an important tool in finding the genetic basis of adaptive evolutionary change.
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Affiliation(s)
- Sean Hoban
- Morton Arboretum, Lisle, Illinois 60532; and National Institute for Mathematical and Biological Synthesis (NIMBioS), Knoxville, Tennessee 37966
| | - Joanna L. Kelley
- School of Biological Sciences, Washington State University, Pullman, Washington 99164
| | - Katie E. Lotterhos
- Department of Marine and Environmental Sciences, Northeastern University Marine Science Center, Nahant, Massachusetts 01908
| | - Michael F. Antolin
- Department of Biology, Colorado State University, Fort Collins, Colorado 80523
| | - Gideon Bradburd
- Museum of Vertebrate Zoology and Department of Environmental Science, Policy, and Management, University of California, Berkeley, California 94720
| | - David B. Lowry
- Department of Plant Biology, Michigan State University, East Lansing, Michigan 48824
| | - Mary L. Poss
- Department of Biology and Veterinary and Biomedical Sciences, Penn State University, University Park, Pennsylvania 16802
| | - Laura K. Reed
- Department of Biological Sciences, University of Alabama, Tuscaloosa, Alabama 35406
| | - Andrew Storfer
- School of Biological Sciences, Washington State University, Pullman, Washington 99164
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Christmas MJ, Biffin E, Breed MF, Lowe AJ. Finding needles in a genomic haystack: targeted capture identifies clear signatures of selection in a nonmodel plant species. Mol Ecol 2016; 25:4216-33. [DOI: 10.1111/mec.13750] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2016] [Revised: 06/27/2016] [Accepted: 07/06/2016] [Indexed: 12/19/2022]
Affiliation(s)
- Matthew J. Christmas
- Environment Institute and School of Biological Sciences The University of Adelaide North Terrace SA 5005 Australia
| | - Ed Biffin
- State Herbarium of South Australia Hackney Road Adelaide SA 5000 Australia
| | - Martin F. Breed
- Environment Institute and School of Biological Sciences The University of Adelaide North Terrace SA 5005 Australia
| | - Andrew J. Lowe
- Environment Institute and School of Biological Sciences The University of Adelaide North Terrace SA 5005 Australia
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Kelley JL, Brown AP, Therkildsen NO, Foote AD. The life aquatic: advances in marine vertebrate genomics. Nat Rev Genet 2016; 17:523-34. [DOI: 10.1038/nrg.2016.66] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Jensen JD, Foll M, Bernatchez L. The past, present and future of genomic scans for selection. Mol Ecol 2016; 25:1-4. [PMID: 26745554 DOI: 10.1111/mec.13493] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Accepted: 11/16/2015] [Indexed: 12/18/2022]
Affiliation(s)
- Jeffrey D Jensen
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland
| | - Matthieu Foll
- Genetic Cancer Susceptibility, International Agency for Research on Cancer, Lyon, France
| | - Louis Bernatchez
- IBIS (Institut de Biologie Intégrative et des Systèmes), Université Laval, Québec, Québec, Canada
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