Dissecting the molecular basis of spike traits by integrating gene regulatory networks and genetic variation in wheat

• Published in: Plant communications Vol. 5; no. 5; p. 100879
• Main Authors: Ai, Guo, He, Chao, Bi, Siteng, Zhou, Ziru, Liu, Ankui, Hu, Xin, Liu, Yanyan, Jin, Liujie, Zhou, JiaCheng, Zhang, Heping, Du, Dengxiang, Chen, Hao, Gong, Xin, Saeed, Sulaiman, Su, Handong, Lan, Caixia, Chen, Wei, Li, Qiang, Mao, Hailiang, Li, Lin, Liu, Hao, Chen, Dijun, Kaufmann, Kerstin, Alazab, Khaled F., Yan, Wenhao
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 13-05-2024; Elsevier
• Subjects: bread wheat; gene regulatory network; genetic variation; protein–protein interaction; spike traits; protein–protein interaction; genetic variation; bread wheat; gene regulatory network; spike traits
• ISSN: 2590-3462; 2590-3462
• DOI: 10.1016/j.xplc.2024.100879

Spike architecture influences both grain weight and grain number per spike, which are the two major components of grain yield in bread wheat (Triticum aestivum L.). However, the complex wheat genome and the influence of various environmental factors pose challenges in mapping the causal genes that affect spike traits. Here, we systematically identified genes involved in spike trait formation by integrating information on genomic variation and gene regulatory networks controlling young spike development in wheat. We identified 170 loci that are responsible for variations in spike length, spikelet number per spike, and grain number per spike through genome-wide association study and meta-QTL analyses. We constructed gene regulatory networks for young inflorescences at the double ridge stage and the floret primordium stage, in which the spikelet meristem and the floret meristem are predominant, respectively, by integrating transcriptome, histone modification, chromatin accessibility, eQTL, and protein–protein interactome data. From these networks, we identified 169 hub genes located in 76 of the 170 QTL regions whose polymorphisms are significantly associated with variation in spike traits. The functions of TaZF-B1, VRT-B2, and TaSPL15-A/D in establishment of wheat spike architecture were verified. This study provides valuable molecular resources for understanding spike traits and demonstrates that combining genetic analysis and developmental regulatory networks is a robust approach for dissection of complex traits.
This study reports the dissection of the genetic and molecular basis of spike traits in wheat through a robust approach integrating information on genomic variation and gene regulatory networks.