分子生物学
IVD分子诊断
细胞培养与分析
蛋白研究
细胞因子
重组蛋白
抗体
高通量测序建库
病原检测UCF系列
生物医药
工具酶
抑制剂激活剂与常用试剂
仪器
耗材

Correlative analysis of endogenous miRNA expression profiles underlying brown planthopper adaptation to resistant rice

Yu-Biao Cai, Xin-Feng Wang, Ya-Xuan Wang, Kun-Jie Zhang, Feng-Xiang Lai, Qi Wei, Jia-Chun He, Wei-Xia Wang, Jin-Li Zhang, Qiang Fu, Pin-Jun Wan

Journal:Comparative Biochemistry and Physiology D-Genomics & Proteomics

IF:2.9

DOI:10.1016/j.cbd.2026.101955

PMID:

Published:2026-07-27

research field:肿瘤学分子生物学遗传学

Abstract

The brown planthopper ( Nilaparvata lugens Stål, BPH) is a major insect pest threatening global rice production. However, the molecular mechanisms underlying the adaptation of BPH populations with different virulence levels to resistant rice cultivars remain poorly understood. MicroRNAs (miRNAs), as key post-transcriptional regulators, play critical roles in host adaptation in herbivorous insects. In this study, we analyzed the miRNA expression profiles of a high-virulent population (IR56p) and a low-virulence population (TN1p) after feeding on susceptible (TN1) and resistant (IR56) rice cultivars. Our findings reveal distinct miRNA-mediated regulatory strategies employed by the two populations. The IR56p population showed downregulation of miRNAs including miR-10 , miR-124 , and miR-316 , showing an inverse correlation with increased expression of predicted target genes involved in detoxification (carboxylesterase, UDP-glycosyltransferase) and effector function (calmodulin). In contrast, several miRNAs highly expressed in IR56p, including miR-307 , miR-317 , and miR-275 , were predicted to target rice genes associated with hormone signaling, cell wall biosynthesis, and oxidative homeostasis, suggesting a possible but unproven inter-species regulatory role that requires functional validation. Collectively, these descriptive and correlative findings provide hypothesis generating insights into insect-plant coevolution and identifies candidate molecular targets for future functional validation and RNA interference-based pest management strategies.

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