Govindharaj Guru-Pirasanna-Pandi, Bharati Babu Soumya, Anilkumar C, Roy Debajyoti, Parameswaran C, Basana-Gowda G, Bansal Ruchi, Mohapatra S D
Crop Protection Division, ICAR-National Rice Research Institute, Cuttack, 753006, India.
ICAR-National Bureau of Plant Genetic Resources , New Delhi, 110012, India.
Bot Stud. 2025 Jul 14;66(1):20. doi: 10.1186/s40529-025-00461-3.
Rice production faces relentless threat from the brown plant hopper (), particularly in Asian subcontinents like India, where the highly damaging biotype-4 is prevalent. Developing rice varieties with long-lasting resistance is crucial to combat this threat sustainably. This study aimed to identify stable novel resistant sources and associate molecular markers with resistant loci present in the new sources of resistance. In this study, 152 rice genotypes were screened against , and further genotyping was done using 82 SSR (Simple Sequence Repeat) markers linked to 28 -resistant genes and QTLs.
After continuous screening for three seasons, 33 resistant rice genotypes (score 1) were identified. Unlike susceptible genotypes, resistant genotypes exhibited lower plant damage, nymphal survival, and honeydew excretion, with ranges of 4.60–8.90%, 11.50–24.00%, and 3.43 to 7.43 cm², respectively. However, resistant genotypes showed more feeding marks, ranging from 22.67 to 32.00 plant. Genetic analysis indicated an average genetic diversity of 0.150 and a polymorphic information content of 0.128 for the markers. Cluster and population structure analyses classified the genotypes into three primary genetic groups. This grouping was corroborated by Principal Coordinate Analysis (PCoA), which separated susceptible, moderately resistant, and resistant genotypes into distinct components. Additionally, 87% of the genetic variation was between individuals of the populations and 13% between populations.
Marker-trait association analysis using generalized linear models (GLM) and mixed-linear models (MLM) identified two markers viz. RM1313 () and RM7 () were significantly associated with phenotypic parameters related to resistance. Among these RM7 () was identified by both GLM and MLM analyses. These findings highlight the potential of identified resistant genes in rice landraces for developing durable resistant varieties against .
The online version contains supplementary material available at 10.1186/s40529-025-00461-3.
水稻生产面临褐飞虱的持续威胁,尤其是在印度等亚洲次大陆地区,那里具有高度破坏性的生物型4普遍存在。培育具有持久抗性的水稻品种对于可持续应对这一威胁至关重要。本研究旨在鉴定稳定的新型抗性来源,并将分子标记与新抗性来源中存在的抗性位点相关联。在本研究中,针对褐飞虱对152个水稻基因型进行了筛选,并使用与28个抗褐飞虱基因和QTL相关的82个SSR(简单序列重复)标记进行了进一步的基因分型。
经过三个季节的连续筛选,鉴定出33个抗性水稻基因型(评分为1)。与感病基因型不同,抗性基因型表现出较低的植株损伤、若虫存活率和蜜露排泄量,范围分别为4.60–8.90%、11.50–24.00%和3.43至7.43平方厘米。然而,抗性基因型显示出更多的取食痕迹,范围为每株22.67至32.00个。遗传分析表明,这些标记的平均遗传多样性为0.150,多态信息含量为0.128。聚类和群体结构分析将基因型分为三个主要遗传组。主坐标分析(PCoA)证实了这一分组,该分析将感病、中抗和抗性基因型分为不同的组分。此外,87%的遗传变异存在于群体内个体之间,13%存在于群体之间。
使用广义线性模型(GLM)和混合线性模型(MLM)进行的标记-性状关联分析鉴定出两个标记,即RM1313()和RM7()与褐飞虱抗性相关的表型参数显著相关。其中,RM7()通过GLM和MLM分析均被鉴定出来。这些发现突出了在水稻地方品种中鉴定出的抗性基因对于培育抗褐飞虱持久抗性品种的潜力。
在线版本包含可在10.1186/s40529-025-00461-3获取的补充材料。