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Sorghum bicolor breed:BTX623 Phenotype or Genotype

dataset
posted on 2024-09-29, 05:25 authored by USDA-ARS
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.

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2015-09-17

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

genotype-phenotype correlation

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA295938

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA295938 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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