Genome-wide association mapping identifies markers associated with cane yield components and sucrose traits in the Louisiana sugarcane core collection
Autor: | Niranjan Baisakh, Andres Gutierrez, Nathanael D. Fickett, Mohit Verma, Anna L. Hale, C. A. Kimbeng, M. J. Pontif |
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Rok vydání: | 2019 |
Předmět: |
Genetic Markers
0106 biological sciences Sucrose Linkage disequilibrium Single-nucleotide polymorphism Genome-wide association study Plant disease resistance Polymorphism Single Nucleotide 01 natural sciences Linkage Disequilibrium Crop 03 medical and health sciences Quantitative Trait Heritable Genetics Cane Indel 030304 developmental biology Genetic association 0303 health sciences biology business.industry Chromosome Mapping food and beverages Louisiana biology.organism_classification Saccharum Biotechnology Plant Breeding business Genome Plant Genome-Wide Association Study 010606 plant biology & botany |
Zdroj: | Genomics. 111:1794-1801 |
ISSN: | 0888-7543 |
Popis: | Sugarcane is an economically important crop for both food and biofuel industries. Marker-assisted breeding in sugarcane is becoming a reality with the recent development and deployment of markers linked with disease resistance genes. Large linkage disequilibrium in sugarcane makes genome-wide association studies (GWAS) a better alternative to biparental mapping to identify markers associated with agronomic traits. GWAS was conducted on a Louisiana core collection to identify marker-trait associations (MTA) for 11 cane yield and sucrose traits using single nucleotide polymorphism (SNP) and insertion-deletion (Indel) markers. Significant (P .05) MTAs were identified for all traits where the top ranked markers explained up to 15% of the total phenotypic variation. High correlations (0.732 to 0.999) were observed between sucrose traits and 56 markers were found consistent across multiple traits. These markers following validation in more diverse populations could be used in marker-assisted selection of clones in sugarcane breeding program in Louisiana and elsewhere. |
Databáze: | OpenAIRE |
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