Frontiers in Plant Science (Dec 2024)

Meta-QTL mapping for wheat thousand kernel weight

  • Chao Tan,
  • Xiaojiang Guo,
  • Huixue Dong,
  • Maolian Li,
  • Qian Chen,
  • Mengping Cheng,
  • Zhien Pu,
  • Zhongwei Yuan,
  • Jirui Wang

DOI
https://doi.org/10.3389/fpls.2024.1499055
Journal volume & issue
Vol. 15

Abstract

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Wheat domestication and subsequent genetic improvement have yielded cultivated species with larger seeds compared to wild ancestors. Increasing thousand kernel weight (TKW) remains a crucial goal in many wheat breeding programs. To identify genomic regions influencing TKW across diverse genetic populations, we performed a comprehensive meta-analysis of quantitative trait loci (MQTL), integrating 993 initial QTL from 120 independent mapping studies over recent decades. We refined 242 loci into 66 MQTL, with an average confidence interval (CI) 3.06 times smaller than that of the original QTL. In these 66 MQTL regions, a total of 4,913 candidate genes related to TKW were identified, involved in ubiquitination, phytohormones, G-proteins, photosynthesis, and microRNAs. Expression analysis of the candidate genes showed that 95 were specific to grain and might potentially affect TKW at different seed development stages. These findings enhance our understanding of the genetic factors associated with TKW in wheat, providing reliable MQTL and potential candidate genes for genetic improvement of this trait.

Keywords