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GrainGenes Reference Report: PBJ-2018:12888

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Reference
PBJ-2018:12888
Title
Haplotype based genotyping-by-sequencing in oat genome research
Journal
Plant Biotechnology Journal
Year
2018
Author
Bekele WA
Wight CP
Chao S
Howarth CJ
Tinker NA
Abstract
In a de-novo genotyping-by-sequencing (GBS) analysis of short, 64-base tag-level haplotypes in 4657 accessions of cultivated oat, we discovered 164741 tag-level (TL) genetic variants containing 241224 SNPs. From this, the marker-density of an oat consensus map was increased by the addition of more than 70000 loci. The mapped TL genotypes of a 635-line diversity panel were used to infer chromosome-level (CL) haplotype maps. These maps revealed differences in the number and size of haplotype blocks, as well as differences in haplotype diversity between chromosomes and subsets of the diversity panel. We then explored potential benefits of SNP vs. TL vs. CL GBS variants for mapping, high resolution genome analysis, and genomic selection in oats. A combined genome-wide association study (GWAS) of heading date from multiple locations using both TL haplotypes and individual SNP markers identified 184 significant associations. A comparative GWAS using TL haplotypes, CL haplotype blocks, and their combinations demonstrated the superiority of using TL haplotype markers. Using a principal component-based genome-wide scan, genomic regions containing signatures of selection were identified. These regions may contain genes that are responsible for the local adaptation of oats to Northern American conditions. Genomic selection for heading date using TL haplotypes or SNP markers gave comparable and promising prediction accuracies of up to r=0.74. Genomic selection carried out in an independent calibration and test population for heading date gave promising prediction accuracies that ranged between r=0.42 and 0.67. In conclusion, TL haplotype GBS-derived markers facilitate genome analysis and genomic selection in oat.
External Databases
https://doi.org/10.1111/pbi.12888
Locus
avgbs2_100019.1
[ Show all 93573 ]
Map Data
Oat-2018-Consensus
Oat-2019-A_atlantica-physical
Oat-2019-A_eriantha-physical
Probe
avgbs2_100019.1
[ Show all 49807 ]
Sequence
[ Hide all but 1 of 31052 ]
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avgbs_cluster_9863.2
avgbs_cluster_9866.1
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avgbs_cluster_99.1
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avgbs_cluster_9912.1
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avgbs_cluster_9916.1
avgbs_cluster_9922.1
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avgbs_cluster_9941.1
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avgbs_cluster_9968.1
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avgbs_cluster_9996.1
avgbs_cluster_9998.1

GrainGenes is a product of the Agricultural Research Service of the US Department of Agriculture.