Abstract

BackgroundUnderstanding how and why genetic variation is partitioned across geographic space is of fundamental importance to understanding the nature of biological species. How geographical isolation and local adaptation contribute to the formation of ecotypically differentiated groups of plants is just beginning to be understood through population genomic studies. We used whole genome sequencing combined with association study of climate to discover the drivers of differentiation in the perennial C4 grass Panicum hallii.ResultsSequencing of 89 natural accessions of P.hallii revealed complex population structure across the species range. Major population genomic separation was found between subspecies P.hallii var. hallii and var. filipes as well as between at least four major unrecognized subgroups within var. hallii. At least 139 genomic SNPs were significantly associated with temperature or precipitation across the range and these SNPs were enriched for non-synonymous substitutions. SNPs associated with temperature and aridity were more often found in or near genes than expected by chance and enriched for putative involvement in dormancy processes, seed maturation, response to hyperosmosis and salinity, abscisic acid metabolism, hormone metabolism, and drought recovery.ConclusionsBoth geography and climate adaptation contribute significantly to patterns of genome-wide variation in P.hallii. Population subgroups within P.hallii may represent early stages in the formation of ecotypes. Climate associated loci identified here represent promising targets for future research in this and other perennial grasses.

Highlights

  • Understanding how and why genetic variation is partitioned across geographic space is of fundamental importance to understanding the nature of biological species

  • In P.halii we found that overall isolation by geographic distance (IBD) was not significant across the entire P. hallii collection after controlling for the effects of population substructure

  • Because there are strong correlations between climate and geography across the study area, we examined more closely how both factors influence variation in the candidate climate Single nucleotide polymorphism (SNP) identified by genome-wide association study (GWAS)

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Summary

Introduction

Understanding how and why genetic variation is partitioned across geographic space is of fundamental importance to understanding the nature of biological species. How geographical isolation and local adaptation contribute to the formation of ecotypically differentiated groups of plants is just beginning to be understood through population genomic studies. The evolution of locally adapted ecotypes in distinct geographic regions is common [2, 5, 6]. Those ecogeographically partitioned ecotypes typically constitute genetically structured groups [7], which are reproductively isolated from each other to varying degrees (but see [8]). Studies of population genomic variation in individual plant species can provide insights into the patterns and drivers of genetic divergence across particular geographic regions that vary in climate

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