GWAS analysis of sorghum association panel lines identifies SNPs associated with disease response to Texas isolates of Colletotrichum sublineola.


Journal

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
ISSN: 1432-2242
Titre abrégé: Theor Appl Genet
Pays: Germany
ID NLM: 0145600

Informations de publication

Date de publication:
May 2019
Historique:
received: 13 05 2018
accepted: 16 01 2019
pubmed: 29 1 2019
medline: 20 8 2019
entrez: 29 1 2019
Statut: ppublish

Résumé

SNPs identify prospective genes related to response to Colletotrichum sublineola (anthracnose) in the sorghum association panel lines. Sorghum association panel (SAP) lines were scored over several years for response to Colletotrichum sublineola, the causal agent of the disease anthracnose. Known resistant and susceptible lines were included each year to verify successful inoculation. Over 79,000 single-nucleotide polymorphic (SNP) loci from a publicly available genotype by sequencing dataset available for the SAP lines were used with TASSEL association mapping software to identify chromosomal locations associated with differences in disease response. When the top-scoring SNPs were mapped to the published sorghum genome, in each case, the nearest annotated gene has precedence for a role in host defense.

Identifiants

pubmed: 30688991
doi: 10.1007/s00122-019-03285-5
pii: 10.1007/s00122-019-03285-5
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1389-1396

Subventions

Organisme : USDA CRIS project
ID : # 3091-22000-034-00-D

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Auteurs

Louis K Prom (LK)

USDA-ARS, Southern Plains Agricultural Research Center, College Station, TX, 77845, USA. louis.prom@ars.usda.gov.

Ezekiel Ahn (E)

Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA.

Thomas Isakeit (T)

Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA.

Clint Magill (C)

Department of Plant Pathology and Microbiology, Texas A&M University, College Station, TX, 77843, USA.

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Classifications MeSH