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      Genomic Studies of Local Adaptation in Natural Plant Populations

      Journal of Heredity
      Oxford University Press (OUP)

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          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.

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          Most cited references43

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          Climate change, adaptation, and phenotypic plasticity: the problem and the evidence

          Many studies have recorded phenotypic changes in natural populations and attributed them to climate change. However, controversy and uncertainty has arisen around three levels of inference in such studies. First, it has proven difficult to conclusively distinguish whether phenotypic changes are genetically based or the result of phenotypic plasticity. Second, whether or not the change is adaptive is usually assumed rather than tested. Third, inferences that climate change is the specific causal agent have rarely involved the testing – and exclusion – of other potential drivers. We here review the various ways in which the above inferences have been attempted, and evaluate the strength of support that each approach can provide. This methodological assessment sets the stage for 11 accompanying review articles that attempt comprehensive syntheses of what is currently known – and not known – about responses to climate change in a variety of taxa and in theory. Summarizing and relying on the results of these reviews, we arrive at the conclusion that evidence for genetic adaptation to climate change has been found in some systems, but is still relatively scarce. Most importantly, it is clear that more studies are needed – and these must employ better inferential methods – before general conclusions can be drawn. Overall, we hope that the present paper and special issue provide inspiration for future research and guidelines on best practices for its execution.
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            A map of local adaptation in Arabidopsis thaliana.

            Local adaptation is critical for species persistence in the face of rapid environmental change, but its genetic basis is not well understood. Growing the model plant Arabidopsis thaliana in field experiments in four sites across the species' native range, we identified candidate loci for local adaptation from a genome-wide association study of lifetime fitness in geographically diverse accessions. Fitness-associated loci exhibited both geographic and climatic signatures of local adaptation. Relative to genomic controls, high-fitness alleles were generally distributed closer to the site where they increased fitness, occupying specific and distinct climate spaces. Independent loci with different molecular functions contributed most strongly to fitness variation in each site. Independent local adaptation by distinct genetic mechanisms may facilitate a flexible evolutionary response to changing environment across a species range.
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              Spontaneous epigenetic variation in the Arabidopsis thaliana methylome.

              Heritable epigenetic polymorphisms, such as differential cytosine methylation, can underlie phenotypic variation. Moreover, wild strains of the plant Arabidopsis thaliana differ in many epialleles, and these can influence the expression of nearby genes. However, to understand their role in evolution, it is imperative to ascertain the emergence rate and stability of epialleles, including those that are not due to structural variation. We have compared genome-wide DNA methylation among 10 A. thaliana lines, derived 30 generations ago from a common ancestor. Epimutations at individual positions were easily detected, and close to 30,000 cytosines in each strain were differentially methylated. In contrast, larger regions of contiguous methylation were much more stable, and the frequency of changes was in the same low range as that of DNA mutations. Like individual positions, the same regions were often affected by differential methylation in independent lines, with evidence for recurrent cycles of forward and reverse mutations. Transposable elements and short interfering RNAs have been causally linked to DNA methylation. In agreement, differentially methylated sites were farther from transposable elements and showed less association with short interfering RNA expression than invariant positions. The biased distribution and frequent reversion of epimutations have important implications for the potential contribution of sequence-independent epialleles to plant evolution.
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                Author and article information

                Journal
                Journal of Heredity
                Oxford University Press (OUP)
                0022-1503
                1465-7333
                January 2018
                December 21 2017
                October 14 2017
                January 2018
                December 21 2017
                October 14 2017
                : 109
                : 1
                : 3-15
                Article
                10.1093/jhered/esx091
                29045754
                f31ff5ba-5edb-49c1-bec9-87027367dcdf
                © 2017
                History

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