Environmental association identifies candidates for tolerance to low temperature and drought
2019-02-11
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Environmental association identifies candidates for tolerance to low temperature and drought
Published Date
2019-02-11
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Morrell, Peter L
pmorrell@umn.edu
pmorrell@umn.edu
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Genomics Data
Genomics Data
Abstract
Barley is cultivated from the equator to the Arctic Circle. The wild progenitor species, Hordeum vulgare ssp. spontaneum, occupies a relatively narrow latitudinal range (~30 - 40˚ N) primarily at low elevation, < 1500 m. Adaptation to the range of cultivation has occurred over ~8,000 years. The genetic basis of this adaptation is amenable to study through environmental association. Using genotyping from 7,864 SNPs in 784 barley landraces, we perform mixed model association analysis relative to bioclimatic variables and analysis of allele frequency differentiation across multiple partitions of the data. Using resequencing data from a subset of the landraces, we test for linkage disequilibrium (LD) between SNPs queried in genotyping and SNPs in neighboring loci. We identify seven loci previously reported to contribute to adaptive differences to flowering time and abiotic stress in barley and four loci previously identified in other plant species. In many cases, patterns of LD are consistent with the causative variant occurring in the immediate vicinity of the queried SNP. The identification of barley orthologs to well characterized genes may provide new understanding of the nature of adaptive variation and could permit a more targeted use of potentially adaptive variants in barley breeding and germplasm improvement.
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Lei, Li; Poets, Ana M; Liu, Chaochih; Wyant, Skylar R; Hoffman, Paul J; Carter, Corey K; Trantow, Richard M; Shaw, Brian G; Li, Xin; Muehlbauer, Gary J; Katagiri, Fumiaki; Morrell, Peter L. (2019). Environmental association identifies candidates for tolerance to low temperature and drought. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/adqb-bb41.
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Readme.md
Readme
(2.59 KB)
Supplemental dataset 1.vcf
VCF file for the 6,152 SNPs without culling SNPs in complete LD.
(18.39 MB)
Supplemental dataset 2.csv
Genotype matrix with 5,800 SNPs for environmental association
(8.77 MB)
Supplemental dataset 3.vcf
The physical positions of 9K SNPs
(315.77 KB)
Supplemental dataset 4.txt
The annotations for SNPs called from exome capture resequencing data from 62 landraces.
(26.44 MB)
Supplemental dataset 5.csv
Phenotype matrix with 25 geographic and climatic variables for environmental association
(89.46 KB)
Supplemental dataset 6.txt
Inferred ancestral status for each 9K SNP
(238.24 KB)
Supplemental dataset 7.txt
Inferred ancestral status for each exome resequencing SNP from 62 landraces.
(12.22 MB)
Supplemental dataset 8.vcf.tar.gz
VCF file for SNPs called from exome-capture resequencing data from 62 landraces
(163.53 MB)
Supplemental dataset 9.zip
All p-values and Benjamini-Hochberg FDR-values from the environmental associations for 25 variables
(687.37 KB)
supplemental dataset 10.csv
All p-values and FST from elevation, low and high latitude, longitude, and growth habit.
(19.28 MB)
Readme.txt
Readme, plain text
(8.69 KB)
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