Journal
BMC PLANT BIOLOGY
Volume 21, Issue 1, Pages -Publisher
BMC
DOI: 10.1186/s12870-021-03046-x
Keywords
GWAS; Sesame; Statistical models; Genomics assisted breeding
Categories
Funding
- Wuhan cutting-edge application technology fund [2018020401011303]
- Science and Technology Innovation Project of Hubei province [201620000001048]
- Natural Science Foundation of Hubei Province, China [2019CFB574]
- Fundamental Research Funds for Central Non-profit Scientific Institution [1610172019004, Y2019XK15-02]
- Agricultural Science and Technology Innovation Project of the Chinese Academy of Agricultural Sciences [CAAS-ASTIP-2013-OCRI]
- China Agriculture Research System [CARS-14]
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The study reviewed the progress in discovering important traits in sesame through the GWAS method, developed a new online database SiGeDiD, and tested various new GWAS multi-locus models for the first time in sesame.
Background: Sesame is a rare example of non-model and minor crop for which numerous genetic loci and candidate genes underlying features of interest have been disclosed at relatively high resolution. These progresses have been achieved thanks to the applications of the genome-wide association study (GWAS) approach. GWAS has benefited from the availability of high-quality genomes, re-sequencing data from thousands of genotypes, extensive transcriptome sequencing, development of haplotype map and web-based functional databases in sesame. Results: In this paper, we reviewed the GWAS methods, the underlying statistical models and the applications for genetic discovery of important traits in sesame. A novel online database SiGeDiD (http://sigedid.ucad.sn/) has been developed to provide access to all genetic and genomic discoveries through GWAS in sesame. We also tested for the first time, applications of various new GWAS multi-locus models in sesame. Conclusions: Collectively, this work portrays steps and provides guidelines for efficient GWAS implementation in sesame, a non-model crop.
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