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 Plant Stress and Germplasm Development Research: Lubbock, TX
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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





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Title:   Author  item
                                            Jiao, Yinpingitem
                                            Burke, Johnitem
                                            Chopra, Ratanitem
                                            Burow, Gloriaitem
                                            Chen, Junpingitem
                                            Wang, Jingitem
                                            Hayes, Chaditem
                                            Emendack, Yvesitem
                                            Ware, Doreenitem
                                            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.


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