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Rapid,nonparallel genomic evolution of Brassica rapa (field mustard) under experimental drought
Authors:Stephen E. Johnson  Silas Tittes  Steven J. Franks
Affiliation:1. Department of Biological Sciences and Louis Calder Center, Fordham University, Bronx, New York, USA;2. Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA
Abstract:While we know that climate change can potentially cause rapid phenotypic evolution, our understanding of the genetic basis and degree of genetic parallelism of rapid evolutionary responses to climate change is limited. In this study, we combined the resurrection approach with an evolve-and-resequence design to examine genome-wide evolutionary changes following drought. We exposed genetically similar replicate populations of the annual plant Brassica rapa derived from a field population in southern California to four generations of experimental drought or watered conditions in a greenhouse. Genome-wide sequencing of ancestral and descendant population pools identified hundreds of SNPs that showed evidence of rapidly evolving in response to drought. Several of these were in stress response genes, and two were identified in a prior study of drought response in this species. However, almost all genetic changes were unique among experimental populations, indicating that the evolutionary changes were largely nonparallel, despite the fact that genetically similar replicates of the same founder population had experienced controlled and consistent selection regimes. This nonparallelism of evolution at the genetic level is potentially because of polygenetic adaptation allowing for multiple different genetic routes to similar phenotypic outcomes. Our findings help to elucidate the relationship between rapid phenotypic and genomic evolution and shed light on the degree of parallelism and predictability of genomic evolution to environmental change.
Keywords:Brassica rapa  drought adaptation  experimental evolution  parallel evolution  rapid evolution  resurrection approach
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