Sorghum bicolor breed:BTX623 Phenotype or Genotype

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 causal 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 causal mutations, thereby accelerating sorghum breeding.

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Bibliographic Details
Main Author: USDA-ARS (17854919)
Format: Dataset biblioteca
Published: 2015
Subjects:Genetics, Sorghum bicolor, eEukaryotes, phenotype or genotype,
Online Access:https://figshare.com/articles/dataset/Sorghum_bicolor_breed_BTX623_Phenotype_or_Genotype/25080629
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id dat-usda-us-article25080629
record_format figshare
spelling dat-usda-us-article250806292015-09-17T00:00:00Z Sorghum bicolor breed:BTX623 Phenotype or Genotype USDA-ARS (17854919) Genetics Sorghum bicolor eEukaryotes phenotype or genotype 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 causal 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 causal mutations, thereby accelerating sorghum breeding. 2015-09-17T00:00:00Z Dataset Dataset 10113/AF25080629 https://figshare.com/articles/dataset/Sorghum_bicolor_breed_BTX623_Phenotype_or_Genotype/25080629 Copyright Undetermined
institution USDA US
collection Figshare
country Estados Unidos
countrycode US
component Datos de investigación
access En linea
databasecode dat-usda-us
tag biblioteca
region America del Norte
libraryname National Agricultural Library of USDA
topic Genetics
Sorghum bicolor
eEukaryotes
phenotype or genotype
spellingShingle Genetics
Sorghum bicolor
eEukaryotes
phenotype or genotype
USDA-ARS (17854919)
Sorghum bicolor breed:BTX623 Phenotype or Genotype
description 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 causal 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 causal mutations, thereby accelerating sorghum breeding.
format Dataset
author USDA-ARS (17854919)
author_facet USDA-ARS (17854919)
author_sort USDA-ARS (17854919)
title Sorghum bicolor breed:BTX623 Phenotype or Genotype
title_short Sorghum bicolor breed:BTX623 Phenotype or Genotype
title_full Sorghum bicolor breed:BTX623 Phenotype or Genotype
title_fullStr Sorghum bicolor breed:BTX623 Phenotype or Genotype
title_full_unstemmed Sorghum bicolor breed:BTX623 Phenotype or Genotype
title_sort sorghum bicolor breed:btx623 phenotype or genotype
publishDate 2015
url https://figshare.com/articles/dataset/Sorghum_bicolor_breed_BTX623_Phenotype_or_Genotype/25080629
work_keys_str_mv AT usdaars17854919 sorghumbicolorbreedbtx623phenotypeorgenotype
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