10.5061/DRYAD.8GTHT76K4
Gibson, Matthew
0000-0001-7855-1628
Indiana University Bloomington
Regional differences in the abiotic environment contribute to genomic
divergence within a wild tomato species
Dryad
dataset
2020
KEYWORDS: adaptation
eigenanalysis
edundancy analysis
National Science Foundation
https://ror.org/021nxhr62
DEB-1136707
2020-08-25T00:00:00Z
2020-08-25T00:00:00Z
en
104248150 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
The wild currant tomato Solanum pimpinellifolium inhabits a wide range of
abiotic habitats across its native range of Ecuador and Peru. Although it
has served as a key genetic resource for the improvement of domestic
cultivars, little is known about the genetic basis of traits underlying
local adaptation in this species, nor what abiotic variables are most
important for driving differentiation. Here we use redundancy analysis
(RDA) and other multivariate statistical methods (structural equation
modeling (SEM) and generalized dissimilarity modeling (GDM)) to quantify
the relationship of genomic variation (6,830 single nucleotide
polymorphisms) with climate and geography, among 140 wild accessions. RDA,
SEM, and GDM each identified environment as explaining more genomic
variation than geography, suggesting that local adaptation to
heterogeneous abiotic habitats may be an important source of genetic
diversity in this species. Environmental factors describing temporal
variation in precipitation and evaporative demand explained the most SNP
variation among accessions, indicating that these forces may represent key
selective agents. Lastly, by studying how SNP-environment associations
vary throughout the genome (44,064 SNPs), we mapped the location and
investigated the functions of loci putatively contributing to climatic
adaptations. Together our findings indicate an important role for
selection imposed by the abiotic environment in driving genomic
differentiation between populations.