Understanding complex genetic architecture of rice grain weight through QTL-meta analysis and candidate gene identification

ABSTRACT: Quantitative trait loci (QTL) for rice grain weight identified using bi-parental populations in various environments were found inconsistent and have a modest role in marker assisted breeding and map-based cloning programs. Thus, the identification of a consistent consensus QTL region across populations is critical to deploy in marker aided breeding programs. Using the QTL meta-analysis technique, we collated rice grain weight QTL information from numerous studies done across populations and in diverse environments to find constitutive QTL for grain weight. Using information from 114 original QTL in meta-analysis, we discovered three significant Meta-QTL (MQTL) for grain weight on chromosome 3. According to gene ontology, these three MQTL have 179 genes, 25 of which have roles in developme

SUBMITTER: Anilkumar C 

PROVIDER: S-EPMC9381546 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature