New insights into QTNs and potential candidate genes governing rice yield via a multi-model genome-wide association study.

ABSTRACT:

Background

Rice (Oryza sativa L.) is one of the globally important staple food crops, and yield-related traits are prerequisites for improved breeding efficiency in rice. Here, we used six different genome-wide association study (GWAS) models for 198 accessions, with 553,229 single nucleotide markers (SNPs) to identify the quantitative trait nucleotides (QTNs) and candidate genes (CGs) governing rice yield.

Results

Amongst the 73 different QTNs in total, 24 were co-localized with already reported QTLs or loci in previous mapping studies. We obtained fifteen significant QTNs, pathway analysis revealed 10 potential candidates within 100kb of these QTNs that are predicted to govern plant height, days to flowering, and plot yield in rice. Based on their superior allelic informat

SUBMITTER: Sachdeva S 

PROVIDER: S-EPMC10877931 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature