TY - JOUR
T1 - Dynamic metabolite QTL analyses provide novel biochemical insights into kernel development and nutritional quality improvement in common wheat
AU - Yin, Bo
AU - Jia, Jingqi
AU - Sun, Xu
AU - Hu, Xin
AU - Ao, Min
AU - Liu, Wei
AU - Tian, Zhitao
AU - Liu, Hongbo
AU - Li, Dongqin
AU - Tian, Wenfei
AU - Hao, Yuanfeng
AU - Xia, Xianchun
AU - Sade, Nir
AU - Brotman, Yariv
AU - Fernie, Alisdair R.
AU - Chen, Jie
AU - He, Zhonghu
AU - Chen, Wei
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2024/5/13
Y1 - 2024/5/13
N2 - Despite recent advances in crop metabolomics, the genetic control and molecular basis of the wheat kernel metabolome at different developmental stages remain largely unknown. Here, we performed widely targeted metabolite profiling of kernels from three developmental stages (grain-filling kernels [FKs], mature kernels [MKs], and germinating kernels [GKs]) using a population of 159 recombinant inbred lines. We detected 625 annotated metabolites and mapped 3173, 3143, and 2644 metabolite quantitative trait loci (mQTLs) in FKs, MKs, and GKs, respectively. Only 52 mQTLs were mapped at all three stages, indicating the high stage specificity of the wheat kernel metabolome. Four candidate genes were functionally validated by in vitro enzymatic reactions and/or transgenic approaches in wheat, three of which mediated the tricin metabolic pathway. Metabolite flux efficiencies within the tricin pathway were evaluated, and superior candidate haplotypes were identified, comprehensively delineating the tricin metabolism pathway in wheat. Finally, additional wheat metabolic pathways were re-constructed by updating them to incorporate the 177 candidate genes identified in this study. Our work provides new information on variations in the wheat kernel metabolome and important molecular resources for improvement of wheat nutritional quality.
AB - Despite recent advances in crop metabolomics, the genetic control and molecular basis of the wheat kernel metabolome at different developmental stages remain largely unknown. Here, we performed widely targeted metabolite profiling of kernels from three developmental stages (grain-filling kernels [FKs], mature kernels [MKs], and germinating kernels [GKs]) using a population of 159 recombinant inbred lines. We detected 625 annotated metabolites and mapped 3173, 3143, and 2644 metabolite quantitative trait loci (mQTLs) in FKs, MKs, and GKs, respectively. Only 52 mQTLs were mapped at all three stages, indicating the high stage specificity of the wheat kernel metabolome. Four candidate genes were functionally validated by in vitro enzymatic reactions and/or transgenic approaches in wheat, three of which mediated the tricin metabolic pathway. Metabolite flux efficiencies within the tricin pathway were evaluated, and superior candidate haplotypes were identified, comprehensively delineating the tricin metabolism pathway in wheat. Finally, additional wheat metabolic pathways were re-constructed by updating them to incorporate the 177 candidate genes identified in this study. Our work provides new information on variations in the wheat kernel metabolome and important molecular resources for improvement of wheat nutritional quality.
KW - gene validation
KW - mQTL
KW - nutritional quality
KW - wheat
KW - wheat kernel development
UR - http://www.scopus.com/inward/record.url?scp=85184032386&partnerID=8YFLogxK
U2 - 10.1016/j.xplc.2024.100792
DO - 10.1016/j.xplc.2024.100792
M3 - Article
C2 - 38173227
AN - SCOPUS:85184032386
SN - 2590-3462
VL - 5
JO - Plant Communications
JF - Plant Communications
IS - 5
M1 - 100792
ER -