Brandon S Gaut, Stephen I Wright, Tianpeng Wang, Peter L Morrell
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引用次数: 0
Abstract
Population genomics has transformed our understanding of how natural selection shapes plant genomes. The explosion of whole-genome resequencing data has enabled estimates of nucleotide diversity across genomes, clarified how selection interacts with recombination and demography, and broadened inference beyond crops and model species to virtually any plant system. Here, we synthesize key lessons and outstanding challenges concerning the action of natural selection on plant genomes. One message is that purifying selection is a pervasive selective force acting against deleterious mutations and structural variants, but its efficacy varies predictably and is often relaxed after demographic contractions, including domestication bottlenecks, range expansions, shifts in mating systems, and polyploid formation. Adaptation also routinely shapes genetic diversity, as evidenced by the detection of selective sweeps. Swept genes have functional biases, but many outstanding questions about adaptive variation remain, including the selection coefficients of adaptive alleles, whether selection typically acts on segregating variants or de novo mutations, and how often selection is polygenic. As with polygenic selection, our knowledge about balancing selection is limited, due in part to challenges in its detection. It is known, however, to act on disease-resistance genes and genes that govern breeding systems. Finally, an emerging theme in plant population genomics is the interplay between introgression and adaptation, but it remains challenging to link introgression confidently to fitness, and further study requires an expanded, multispecies scale. This review reveals the power, and some of the limits, of population genomics to infer the dynamics of selection on plant genomes.
期刊介绍:
Molecular Biology and Evolution
Journal Overview:
Publishes research at the interface of molecular (including genomics) and evolutionary biology
Considers manuscripts containing patterns, processes, and predictions at all levels of organization: population, taxonomic, functional, and phenotypic
Interested in fundamental discoveries, new and improved methods, resources, technologies, and theories advancing evolutionary research
Publishes balanced reviews of recent developments in genome evolution and forward-looking perspectives suggesting future directions in molecular evolution applications.