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Genome-wide association analysis of anthracnose resistance in sorghum [Sorghum bicolor (L.) Moench].
Mengistu, Girma; Shimelis, Hussein; Assefa, Ermias; Lule, Dagnachew.
Affiliation
  • Mengistu G; School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Scottsville, Pietermaritzburg, South Africa.
  • Shimelis H; Oromia Agricultural Research Institute, Addis Ababa, Ethiopia.
  • Assefa E; School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Scottsville, Pietermaritzburg, South Africa.
  • Lule D; Ethiopian Biotechnology Institute, Bioinformatics and Genomics Research Directorate (BGRD), Addis Ababa, Ethiopia.
PLoS One ; 16(12): e0261461, 2021.
Article in En | MEDLINE | ID: mdl-34929013
ABSTRACT
In warm-humid ago-ecologies of the world, sorghum [Sorghum bicolor (L.) Moench] production is severely affected by anthracnose disease caused by Colletotrichum sublineolum Henn. New sources of anthracnose resistance should be identified to introgress novel genes into susceptible varieties in resistance breeding programs. The objective of this study was to determine genome-wide association of Diversity Arrays Technology Sequencing (DArTseq) based single nucleotide polymorphisms (SNP) markers and anthracnose resistance genes in diverse sorghum populations for resistance breeding. Three hundred sixty-six sorghum populations were assessed for anthracnose resistance in three seasons in western Ethiopia using artificial inoculation. Data on anthracnose severity and the relative area under the disease progress curve were computed. Furthermore, the test populations were genotyped using SNP markers with DArTseq protocol. Population structure analysis and genome-wide association mapping were undertaken based on 11,643 SNPs with <10% missing data. The evaluated population was grouped into eight distinct genetic clusters. A total of eight significant (P < 0.001) marker-trait associations (MTAs) were detected, explaining 4.86-15.9% of the phenotypic variation for anthracnose resistance. Out of which the four markers were above the cutoff point. The significant MTAs in the assessed sorghum population are useful for marker-assisted selection (MAS) in anthracnose resistance breeding programs and for gene and quantitative trait loci (QTL) mapping.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plant Diseases / Sorghum / Disease Resistance Type of study: Risk_factors_studies Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2021 Document type: Article Affiliation country: South Africa

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plant Diseases / Sorghum / Disease Resistance Type of study: Risk_factors_studies Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2021 Document type: Article Affiliation country: South Africa