Literature DB >> 29045754

Genomic Studies of Local Adaptation in Natural Plant Populations.

Victoria L Sork1.   

Abstract

Local adaptation arises as a result of selection by the local environment favoring phenotypes that enhance fitness. Geographic patterns of phenotypic variation are in part due to this selective process. Classically, the genetic basis of those phenotypes has been studied in plant populations using a quantitative genetic approach in which plants from different source populations are grown in common environments, in reciprocal transplant experiments, or in studies across a wide geographic and environmentally heterogeneous area. Limitations of these approaches to understanding the genetic basis of phenotypic variation can now be addressed with next generation sequencing, gene expression profiles, and epigenetic analysis. In this paper, I summarize contemporary genomic research on local adaptation by comparing findings from the Arabidopsis annual plant model system with long-lived tree species in four kinds of local adaptation studies: 1) genomic studies of transplant experiments; 2) landscape genomic studies; 3) gene expression studies; 4) epigenetic studies of local adaptation. Although the basic study designs of common garden, reciprocal transplants, and geographic variation have remained constant, the inclusion of contemporary genomic approaches has provided substantive advances in our understanding of the genetic underpinnings of local adaptation, including the impact of climate, the identification of candidate genes involved in genotype-by-environment interactions, and evidence for the potential role of epigenetic modification. Despite these advances, new questions are arising and key areas for future research include more exploration of gene networks in response to biotic and abiotic stressors and improved statistical tools for traits with polygenic inheritance. © The American Genetic Association 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Arabidopsis; DNA methylation; Quercus; climate change; epigenetic; gene expression

Mesh:

Year:  2017        PMID: 29045754     DOI: 10.1093/jhered/esx091

Source DB:  PubMed          Journal:  J Hered        ISSN: 0022-1503            Impact factor:   2.645


  16 in total

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3.  Using precision phenotyping to inform de novo domestication.

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Journal:  Plant Physiol       Date:  2021-07-06       Impact factor: 8.340

4.  Genetic structure among morphotypes of the endangered Brazilian palm Euterpe edulis Mart (Arecaceae).

Authors:  Gislaine Mendes Coelho; Alesandro Souza Santos; Ivandilson Pessoa Pinto de Menezes; Roberto Tarazi; Fernanda Maria Oliveira Souza; Maria das Graças Conceição Parada Costa Silva; Fernanda Amato Gaiotto
Journal:  Ecol Evol       Date:  2020-05-19       Impact factor: 2.912

5.  Ancient introgression drives adaptation to cooler and drier mountain habitats in a cypress species complex.

Authors:  Yazhen Ma; Ji Wang; Quanjun Hu; Jialiang Li; Yongshuai Sun; Lei Zhang; Richard J Abbott; Jianquan Liu; Kangshan Mao
Journal:  Commun Biol       Date:  2019-06-18

6.  In the presence of population structure: From genomics to candidate genes underlying local adaptation.

Authors:  Nicholas Price; Lua Lopez; Adrian E Platts; Jesse R Lasky
Journal:  Ecol Evol       Date:  2020-02-12       Impact factor: 2.912

7.  Landscape genomics provides evidence of climate-associated genetic variation in Mexican populations of Quercus rugosa.

Authors:  Karina Martins; Paul F Gugger; Jesus Llanderal-Mendoza; Antonio González-Rodríguez; Sorel T Fitz-Gibbon; Jian-Li Zhao; Hernando Rodríguez-Correa; Ken Oyama; Victoria L Sork
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Review 8.  Small spaces, big impacts: contributions of micro-environmental variation to population persistence under climate change.

Authors:  Derek A Denney; M Inam Jameel; Jordan B Bemmels; Mia E Rochford; Jill T Anderson
Journal:  AoB Plants       Date:  2020-02-18       Impact factor: 3.276

9.  Evaluating genomic data for management of local adaptation in a changing climate: A lodgepole pine case study.

Authors:  Colin R Mahony; Ian R MacLachlan; Brandon M Lind; Jeremy B Yoder; Tongli Wang; Sally N Aitken
Journal:  Evol Appl       Date:  2019-09-30       Impact factor: 5.183

Review 10.  Genomic biosurveillance of forest invasive alien enemies: A story written in code.

Authors:  Richard C Hamelin; Amanda D Roe
Journal:  Evol Appl       Date:  2019-09-10       Impact factor: 5.183

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