Agriculture (Jan 2022)

Identification of Grain Size-Related QTLs in Korean <i>japonica</i> Rice Using Genome Resequencing and High-Throughput Image Analysis

  • Yunji Shin,
  • Yong Jae Won,
  • Chaewon Lee,
  • Kyeong-Seong Cheon,
  • Hyoja Oh,
  • Gang-Seob Lee,
  • Jeongho Baek,
  • In Sun Yoon,
  • Song Lim Kim,
  • Young-Soon Cha,
  • Kyung-Hwan Kim,
  • Hyeonso Ji

DOI
https://doi.org/10.3390/agriculture12010051
Journal volume & issue
Vol. 12, no. 1
p. 51

Abstract

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Grain size is a key factor influencing the grain yield in rice. To identify the as-yet-unknown genes regulating grain size in Korean japonica rice, we developed a recombinant inbred line population (n = 162) from a cross between Odae (large-grain) and Joun (small-grain), and measured six traits including the thousand-grain weights of unhulled and hulled seeds, grain area, grain length, grain width and grain length-to-width ratio using high-throughput image analysis at the F8 and F9 generations. A genetic map was constructed using 248 kompetitive allele-specific PCR (KASP) markers that were polymorphic between the parental genotypes, and 29 QTLs affecting the six traits were identified, of which 15 were stable in both F8 and F9 generations. Notably, three QTL clusters affecting multiple traits were detected on chromosomes 6, 7 and 11. We analyzed whole-genome resequencing data of Odae and Joun, and selected candidate genes for the stable QTLs in the identified clusters that have high- or moderate-impact variations between Odae and Joun and encode proteins the families of which have been reported to be related to grain size regulation. These results will facilitate the identification of genes underlying the QTLs and promote molecular breeding of high-yielding Korean japonica rice varieties.

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