Meta-QTL Mapping for Wheat Thousand Kernel Weight

Overview

Journal Front Plant Sci

Date 2024 Dec 31

PMID 39737382

Authors

Chao Tan

Xiaojiang Guo

Huixue Dong

Maolian Li

Qian Chen

Mengping Cheng

Zhien Pu

Zhongwei Yuan

Jirui Wang

Affiliations

Soon will be listed here.

Abstract

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.

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