Genome biogeography reveals the intraspecific spread of adaptive mutations for a complex trait
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Genome biogeography reveals the intraspecific spread of adaptive mutations for a complex trait. / Olofsson, Jill K; Bianconi, Matheus; Besnard, Guillaume; Dunning, Luke T; Lundgren, Marjorie R; Holota, Helene; Vorontsova, Maria S; Hidalgo, Oriane; Leitch, Ilia J; Nosil, Patrik; Osborne, Colin P; Christin, Pascal-Antoine.
In: Molecular Ecology, Vol. 25, No. 24, 2016, p. 6107-6123.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Genome biogeography reveals the intraspecific spread of adaptive mutations for a complex trait
AU - Olofsson, Jill K
AU - Bianconi, Matheus
AU - Besnard, Guillaume
AU - Dunning, Luke T
AU - Lundgren, Marjorie R
AU - Holota, Helene
AU - Vorontsova, Maria S
AU - Hidalgo, Oriane
AU - Leitch, Ilia J
AU - Nosil, Patrik
AU - Osborne, Colin P
AU - Christin, Pascal-Antoine
N1 - © 2016 The Authors. Molecular Ecology Published by John Wiley & Sons Ltd.
PY - 2016
Y1 - 2016
N2 - Physiological novelties are often studied at macro-evolutionary scales such that their micro-evolutionary origins remain poorly understood. Here, we test the hypothesis that key components of a complex trait can evolve in isolation and later be combined by gene flow. We use C4 photosynthesis as a study system, a derived physiology that increases plant productivity in warm, dry conditions. The grass Alloteropsis semialata includes C4 and non-C4 genotypes, with some populations using laterally acquired C4 -adaptive loci, providing an outstanding system to track the spread of novel adaptive mutations. Using genome data from C4 and non-C4 A. semialata individuals spanning the species' range, we infer and date past migrations of different parts of the genome. Our results show that photosynthetic types initially diverged in isolated populations, where key C4 components were acquired. However, rare but recurrent subsequent gene flow allowed the spread of adaptive loci across genetic pools. Indeed, laterally acquired genes for key C4 functions were rapidly passed between populations with otherwise distinct genomic backgrounds. Thus, our intraspecific study of C4 -related genomic variation indicates that components of adaptive traits can evolve separately and later be combined through secondary gene flow, leading to the assembly and optimization of evolutionary innovations.
AB - Physiological novelties are often studied at macro-evolutionary scales such that their micro-evolutionary origins remain poorly understood. Here, we test the hypothesis that key components of a complex trait can evolve in isolation and later be combined by gene flow. We use C4 photosynthesis as a study system, a derived physiology that increases plant productivity in warm, dry conditions. The grass Alloteropsis semialata includes C4 and non-C4 genotypes, with some populations using laterally acquired C4 -adaptive loci, providing an outstanding system to track the spread of novel adaptive mutations. Using genome data from C4 and non-C4 A. semialata individuals spanning the species' range, we infer and date past migrations of different parts of the genome. Our results show that photosynthetic types initially diverged in isolated populations, where key C4 components were acquired. However, rare but recurrent subsequent gene flow allowed the spread of adaptive loci across genetic pools. Indeed, laterally acquired genes for key C4 functions were rapidly passed between populations with otherwise distinct genomic backgrounds. Thus, our intraspecific study of C4 -related genomic variation indicates that components of adaptive traits can evolve separately and later be combined through secondary gene flow, leading to the assembly and optimization of evolutionary innovations.
KW - Adaptation, Biological/genetics
KW - Africa
KW - Biological Evolution
KW - Gene Flow
KW - Mutation
KW - Photosynthesis/genetics
KW - Phylogeography
KW - Poaceae/genetics
U2 - 10.1111/mec.13914
DO - 10.1111/mec.13914
M3 - Journal article
C2 - 27862505
VL - 25
SP - 6107
EP - 6123
JO - Molecular Ecology
JF - Molecular Ecology
SN - 0962-1083
IS - 24
ER -
ID: 235066828