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Identification of Potential QTLs Related to Grain Size in Rice.

Jae-Ryoung Park1, Jeonghwan Seo1, Songhee Park1

  • 1Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju 55365, Republic of Korea.

Plants (Basel, Switzerland)
|May 13, 2023
PubMed
Summary

Researchers identified quantitative trait loci (QTLs) for rice grain size, crucial for increasing crop yield. Key genes like GS3 and a novel candidate gene OsCPq10 were associated with grain size traits, aiding future elite rice breeding.

Keywords:
QTLbreedinggrain sizericeyield

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Area of Science:

  • Plant genetics
  • Agricultural science
  • Crop improvement

Background:

  • Rice is a staple food for a significant portion of the global population.
  • Increasing global population necessitates enhanced rice yields.
  • Grain size, particularly 1000-grain weight, is a key factor in determining rice yield.

Purpose of the Study:

  • To identify quantitative trait loci (QTLs) associated with grain size in rice.
  • To map these QTLs onto a physical map for precise localization.
  • To identify potential candidate genes controlling grain size.

Main Methods:

  • Developed 88 recombinant inbred lines (RILs) from a cross between long-grain (JJ625LG) and short-grain (Namchan) rice varieties.
  • Utilized 511 single nucleotide polymorphism (SNP) markers for QTL mapping in 2021 and 2022.
  • Physically mapped identified QTLs to specific chromosomal locations.

Main Results:

  • Identified QTLs related to grain size distributed across chromosomes 2, 3, 5, 10, and 11.
  • Confirmed associations between QTLs on chromosomes 3 and 5 with known major genes GS3 and qSW5, respectively.
  • Discovered novel QTLs (qGw10, qGw10-1) on chromosome 10 associated with Os10g0525200 (OsCPq10), a cytochrome P450 gene.

Conclusions:

  • The identified QTLs provide valuable genetic resources for understanding grain size control in rice.
  • The candidate gene OsCPq10 shows potential for positively impacting grain size.
  • These findings will facilitate marker-assisted selection for breeding high-yield rice cultivars.