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ARS Home » Plains Area » Lubbock, Texas » Cropping Systems Research Laboratory » Plant Stress and Germplasm Development Research » Research » Publications at this Location » Publication #323130

Research Project: Genetic Enhancement of Sorghum as a Versatile Crop

Location: Plant Stress and Germplasm Development Research

Title: Genome-wide annotation of mutations in a phenotyped mutant library provides an efficient platform for discovery of casual gene mutations

Author
item Jiao, Yinping
item Burke, John
item Chopra, Ratan
item Burow, Gloria
item Chen, Junping
item Wang, Jing
item Hayes, Chad
item Emendack, Yves
item Ware, Doreen
item Xin, Zhanguo

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 12/14/2016
Publication Date: 1/16/2016
Citation: Jiao, Y., Burke, J.J., Chopra, R., Burow, G.B., Chen, J., Wang, J., Hayes, C.M., Emendack, Y., Ware, D., Xin, Z. 2016. Genome-wide annotation of mutations in a phenotyped mutant library provides an efficient platform for discovery of casual gene mutations [abstract]. January 8-14, 2016, San Diego, CA. Paper No. W852-112.

Interpretive Summary:

Technical Abstract: Ethyl methanesulfonate (EMS) efficiently generates high-density mutations in genomes. Conventionally, these mutations are identified by techniques that can detect single-nucleotide mismatches in heteroduplexes of individual PCR amplicons. We applied whole-genome sequencing to 256-phenotyped mutant lines of sorghum (Sorghum bicolor L. Moench) to 16x coverage. Comparisons with the reference sequence revealed >1.8 million canonical EMS-induced G/C to A/T mutations, 22% of which were in genic regions, affecting >95% of genes in the sorghum genome. The vast majority (97.5%) of the induced mutations were distinct from natural variations. By applying the mutation database to phenotype analysis, we identified four casual gene mutations affecting drought tolerance, two mutations affecting heat tolerance, and two mutations affecting seed size that corresponded to previously reported seed size QTLs. Our results demonstrate that this collection of sequenced mutant lines can be used to efficiently discover new traits and their underlying casual mutations, thereby accelerating sorghum breeding.