The digital map of homologous gene clusters across Poaceae species unveils the complex evolutionary trajectories of genes in Triticeae

小麦族 生物 禾本科 基因 同源染色体 进化生物学 遗传学 系统发育学 植物 物种复合体 基因定位 染色体配对
作者
Xiaoming Xie,Yongming Chen,Yuqi Zhang,Zihao Wang,Yibo Wang,Peng Zhao,Huiru Peng,Chaojie Xie,Yingyin Yao,Zhongfu Ni,Qixin Sun,Weilong Guo
出处
期刊:Molecular Plant [Elsevier BV]
标识
DOI:10.1016/j.molp.2026.08.021
摘要

Gene origin, duplication, and loss are key drivers that shape genome evolution, phenotypic diversification, and plant adaptation. Nevertheless, the fine-scale evolutionary trajectories of genes within their local genomic contexts across diverse genera remain poorly characterized. Here, we developed an approach, GoldMiner, that uses homologous gene clusters (HOCs) as evolutionary units for investigating gene evolution and enables hierarchical alignment of pan-genomic HOCs across species and genera. We constructed a genus-level pangenomic map of half a million indexed HOCs across 248 diploid genomes from 25 Poaceae species. We found that most newborn HOCs were derived from existing homologous HOCs. The newborn HOCs in Triticeae were strongly associated with stress response and defense pathways. Two-thirds of Triticeae HOCs, including those containing NLR genes, underwent substantial expansions during evolution, contributing to disease resistance in wheat and barley. Genomic redundancy between wheat subgenomes drives HOC loss associated with genetic variation of wheat populations. We dissected seed storage protein (SSP) gene evolution at two scales: inter-HOC turnover, which governs the origin and amplification of distinct loci across Triticeae, and intra-HOC divergence, which drives functional diversification among paralogous copies. Finally, an interactive web platform, waGOLD (https://wheat.cau.edu.cn/TGT/waGOLD), was developed for the community to explore evolutionary trajectories of HOCs. Overall, we presented a digital atlas of gene evolution for Poaceae species as a resource that opens new avenues for fine-scale gene family evolution and provides a practical framework for constructing genus-level gene-based pangenomes.
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