相互作用体
基因
谱系(遗传)
生物
计算生物学
线虫
比例(比率)
进化生物学
生态学
遗传学
地理
地图学
作者
Guoqiang Huang,Kai Wang,Fanling Li,Si Gao,Hualin Liu,Feng Chen,Zhonglin Liu,Yangyang Chen,Chunxiao Wang,Mengci Xu,Boyan Hu,Chuanshuai Xie,Yanli Ma,Dadong Dai,Yangjie Li,Xudong Li,Dexin Bo,Ling Chen,Alejandra Bravo,Mário Soberón
出处
期刊:Science Advances
[American Association for the Advancement of Science (AAAS)]
日期:2025-08-15
卷期号:11 (33): eadt5107-eadt5107
标识
DOI:10.1126/sciadv.adt5107
摘要
Mounting evidence suggests that lineage-specific genes drive phenotype diversity. Plant-parasitic nematodes (PPNs), among the most destructive plant pathogens, have evolved innovated traits required for plant parasitism, yet the genetic basis remains unclear. Here, we identify PPN lineage–specific genes (PPNLSGs) and analyze the large-scale protein interactome of their encoded proteins (PPNLSPs). By using yeast two-hybrid assays, we identify 2705 protein-protein interactions involving PPNLSPs from stem nematode Ditylenchus destructor , and by using computational methods, we predict conserved interactions of D. destructor proteins at the genome-wide level. Integration of these data allows generating a comprehensive protein interactome map, showing established complexes and PPNLSP modules, and allowing functional annotations for 306 uncharacterized PPNLSPs. Among these interactions, we identify multiple PPNLSPs associated with chemotaxis and infectivity based on these PPNLSP modules and propose a chemotaxis pathway model of host seeking. Our study indicates PPNLSGs as drivers of PPN adaptive innovations and provides a reference resource for future research on PPN biology and control strategies.
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