Identification of genomic regions associated with resistance to blackleg (Leptosphaeria maculans) in canola using genome wide association study

Blackleg, caused by Leptosphaeria maculans , is a serious threat to canola ( B. napus ) production in North Dakota state that is its largest producer in the United States. Genome-wide association study (GWAS) was conducted on a set of 213 B. napus accessions inoculated with a mixture of five L. macu...

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Bibliographic Details
Published in:European journal of plant pathology 2021-11, Vol.161 (3), p.693-707
Main Authors: Mansouripour, Seyedmojtaba, Oladzad, Atena, Shahoveisi, Fereshteh, Rahman, Md. Mukhlesur, del Río Mendoza, Luis E., Mamidi, Sujan, Moghaddam, Samira Mafi
Format: Article
Language:English
Subjects:
Agriculture
Biomedical and Life Sciences
Blackleg
Chromosomes
Datasets
Disease resistance
Ecology
Genome-wide association studies
Genomes
Leptosphaeria maculans
Life Sciences
Marker-assisted selection
Markers
Pathogenicity
Pathogens
Phenotypic variations
Plant Pathology
Plant Sciences
Polynomials
Seedlings
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Summary:Blackleg, caused by Leptosphaeria maculans , is a serious threat to canola ( B. napus ) production in North Dakota state that is its largest producer in the United States. Genome-wide association study (GWAS) was conducted on a set of 213 B. napus accessions inoculated with a mixture of five L. maculans isolates from pathogenicity group-four (PG-4) to identify genetic regions associated with resistance to this disease. Phenotypic data was obtained at the seedling stage using a 1–9 severity scale. This data was used to generate two binary (binary_3 and binary_5), and two polynomial (polynomial_median and polynomial_3) subsets. Using the median_severity phenotypic dataset (original) three significant markers were identified. By using the other four subsets five additional markers were detected. These eight significant markers ( P  
ISSN:0929-1873
1573-8469
DOI:10.1007/s10658-021-02354-0