Rice production is adversely affected by biotic and abiotic stresses. Among the biotic stresses, brown planthopper (BPH) majorly affects the rice yield. Comprehending the genome and candidate players is essential for the resistance to BPH. This holistic study aimed to dissect the complex BPH resistance mechanism of the host against pathogen. Transcriptome analysis of six samples comprising of two-resistant (PTB33, BM71) and one-sensitive (TN1) genotypes under control and stress conditions was carried-out. A total of 148 million filtered reads were generated after quality check. Among these, 127 million filtered reads were aligned to the rice genome. These aligned reads were taken for further analysis. A total of 14,358 DEGs across the genotypes under stress were identified. Of which, 4820 DEGs were functionally annotated from 9266 uniquely mapped DEGs. Fifty-five potential BPH stress players were selected from the in-silico analysis of DEGs. qRT-PCR results revealed key players were differentially regulated in both resistant and sensitive genotypes. Spatio-temporal and hormone level expression signature of 55 BPH associated players were analyzed and noted their differential expression in tissues and hormones, respectively. This study inferred the significant differences in gene expression signatures may contribute to the process of BPH resistance mechanism in rice.

水稻生产受到生物和非生物胁迫的不利影响。在生物胁迫中，褐飞虱（BPH）主要影响水稻产量。了解基因组和候选参与者对于抵抗 BPH 至关重要。这项整体研究旨在剖析宿主对病原体的复杂 BPH 抗性机制。对六个样本进行了转录组分析，这些样本包括在控制和胁迫条件下的两种抗性（PTB33、BM71）和一种敏感（TN1）基因型。质量检查后共生成了 1.48 亿个过滤读数。其中，1.27 亿个过滤读数与水稻基因组比对。这些对齐的读数用于进一步分析。在压力下的基因型中总共鉴定出 14,358 个 DEG。其中，从 9266 个唯一映射的 DEG 中对 4820 个 DEG 进行了功能注释。从 55 名潜在的 BPH 压力参与者中选出DEG的计算机模拟分析。qRT-PCR 结果显示，关键参与者在抗性和敏感基因型中均受到差异调节。分析了 55 名 BPH 相关球员的时空和激素水平表达特征，并分别记录了他们在组织和激素中的差异表达。该研究推断基因表达特征的显着差异可能有助于水稻 BPH 抗性机制的过程。