数字农科院2.0

Transcriptome analysis of insecticide resistance mechanisms in field populations of the bean flower thrips, Megalurothrips usitatus (Bagnall)

文献类型: 外文期刊

作者: Hongyi Cao;Jiangjiang Yuan;Yanran Wan;Yingxi Tang;Xiaobin Zheng;Jing Wang;Kanghua Qian;Jiuming Feng;Sirui Chen;Youjun Zhang;Qingjun Wu

作者机构:

关键词: Detoxification enzymes;Insecticide resistance;Megalurothrips usitatus;RNA-seq;Vigna unguiculata;WGCNA

期刊名称: Ecotoxicology and Environmental Safety

ISSN: 0147-6513

年卷期: 2025 年 298 卷

页码:

收录情况: SCIE(2025版)

摘要: The bean flower thrips, Megalurothrips usitatus (Bagnall), has caused significant damage to leguminous crops in the Asian tropics and established populations in North America. Ineffective pest control has been reported in multiple regions, raising concerns about food safety risks due to improper insecticide use. To evaluate insecticide susceptibility and the role of detoxification enzyme involvement, resistance monitoring and enzyme activity assays were conducted. RNA sequencing (RNA-seq) and weighted gene co-expression network analysis (WGCNA) techniques validated key gene functions. Results showed that the XW population was resistant to five insecticides, with resistance ratios ranging from 7.17 to 42.90 compared to the reference population. The NJ and YZ populations showed resistance to two and one insecticide, respectively, while the HP population was most susceptible. Elevated cytochrome P450s (CYP450), UDP-glycosyltransferases, and acetylcholinesterases activities were observed in the YZ population. Three CYP450 genes positively correlated with CYP450 activity. Carboxylesterases (CarE) activity was the highest in the XW population, with MusiPT_006325 positively correlated and MusiPT_006095/MusiPT_003750 negatively correlated with CarE activity. Glutathione-S-transferase activity was the highest in the HP population. WGCNA revealed positive correlations between MEblue, MEturquoise, and MEbrown modules and acetamiprid/ novaluron median lethal concentration (LC50) values, but negative correlations with β-cypermethrin, spinetoram, emamectin benzoate, thiamethoxam, and spirotetramat LC50 values. Ten CYP450 genes and three UGT genes were identified as hub genes. Our findings reveal insecticide resistance and the role of detoxification enzymes in M. usitatus, providing valuable insights for developing effective management strategies against this thrips species.

分类号:

  • 相关文献

[1]Mutation V65I in the β1 Subunit of the Nicotinic Acetylcholine Receptor Confers Neonicotinoid and Sulfoxaflor Resistance in Insects. Zhang, Kun,Chen, Longwei,Chen, Jianwen,Huang, Huixiu,Liu, Kaiyang,Zhang, Yi,Yang, Jingfang,Wu, Shaoying. 2024

[2]Effects of Methoxyfenozide-Loaded Fluorescent Mesoporous Silica Nanoparticles on Plutella xylostella (L.) (Lepidoptera: Plutellidae) Mortality and Detoxification Enzyme Levels Activities. Bilal, Muhammad,Sial, Muhammad Umair,Cao, Lidong,Huang, Qiliang. 2022

[3]m6A-Mediated Regulation of CYP417B1 Contributes to Imidacloprid Resistance in Bemisia tabaci. Yang, Jing,Xue, Hu,Huang, Mingjiao,Wei, Xuegao,Zhang, Rong,Guo, Zhaojiang,Xie, Wen,Wang, Shaoli,Wu, Qingjun,Zhang, Youjun,Yang, Xin. 2025

[4]Transcriptome and functional analyses reveal ERF053 from Medicago falcata as key regulator in drought resistances. Li Q.,Jiang W.,Jiang Z.,Du W.,Song J.,Qiang Z.,Zhang B.,Pang Y.,Wang Y.. 2022

[5]Comparative transcriptional and co-expression network analysis of two upland cotton accessions with extreme phenotypic differences reveals molecular mechanisms of fiber development. Jiasen He,Zhongyang Xu,Muhammad Tehseen Azhar,Zhen Zhang,Pengtao Li,Juwu Gong,Xiao Jiang,Senmiao Fan,Qun Ge,Youlu Yuan,Haihong Shang. 2023

[6]Response of Multiple Tissues to Drought Revealed by a Weighted Gene Co-Expression Network Analysis in Foxtail Millet [Setaria italica (L.) P. Beauv.]. Renliang Zhang,Hui Zhi,Yuhui Li,Erhu Guo,Guojun Feng,Sha Tang,Weixia Guo,Linlin Zhang,Guanqing Jia,Xianmin Diao. 2022

[7]Identification of hub genes regulating isoflavone accumulation in soybean seeds via GWAS and WGCNA approaches. Azam, Muhammad,Zhang, Shengrui,Li, Jing,Ahsan, Muhammad,Agyenim-Boateng, Kwadwo Gyapong,Qi, Jie,Feng, Yue,Liu, Yitian,Li, Bin,Qiu, Lijuan,Sun, Junming. 2023

[8]Differential alternative splicing genes and isoform co-expression networks of Brassica napus under multiple abiotic stresses. Lingli Yang,Li Yang,Chuanji Zhao,Jie Liu,Chaobo Tong,Yuanyuan Zhang,Xiaohui Cheng,Huifang Jiang,Jinxiong Shen,Meili Xie,Shengyi Liu. 2022

[9]Regulatory Mechanisms of the Resistance to Common Bacterial Blight Revealed by Transcriptomic Analysis in Common Bean (Phaseolus vulgaris L.). Penghui Yang,Yujie Chang,Lanfen Wang,Shumin Wang,Jing Wu. 2022

[10]Landscape of Global Gene Expression Reveals Distinctive Tissue Characteristics in Bactrian Camels (Camelus bactrianus). Yuanyuan Luan,Yan Fang,Lin Jiang,Yuehui Ma,Shangjie Wu,Junwen Zhou,Yabin Pu,Qianjun Zhao,Xiaohong He. 2022

[11]The SLC27A1 Gene and Its Enriched PPAR Pathway Are Involved in the Regulation of Flavor Compound Hexanal Content in Chinese Native Chickens. Yuxi Jin,Xiaoya Yuan,Wenjuan Zhao,Hua Li,Guiping Zhao,Jianfeng Liu. 2022

[12]Transcriptome Analysis of Resistance to Fusarium Wilt in Mung Bean (Vigna radiata L.). Yujie Chang,Feifei Sun,Suli Sun,Lanfen Wang,Jing Wu,Zhendong Zhu. 2021

[13]Transcriptome Analysis of Chinese Cabbage Provides Insights into the Basis of Understanding the Lignin Affected by Low Temperature. Dai Y.,Wang S.,Huang W.,Li Z.,Zhang S.,Zhang H.,Li G.,Fang Z.,Sun R.,Li F.,Zhang S.. 2022

[14]Integrating transcriptome and phytohormones analysis provided insights into plant height development in sesame. Chen Sheng,Shengnan Song,Wangyi Zhou,Senouwa Segla Koffi Dossou,Rong Zhou,Yanxin Zhang,Donghua Li,Jun You,Linhai Wang. 2023

[15]Transcriptome analysis reveals key regulatory genes for root growth related to potassium utilization efficiency in rapeseed (Brassica napus L.). Ibrahim, Sani,Ahmad, Nazir,Kuang, Lieqiong,Li, Keqi,Tian, Ze,Sadau, Salisu Bello,Tajo, Sani Muhammad,Wang, Xinfa,Wang, Hanzhong,Dun, Xiaoling. 2023

[16]RNA-Seq and Comparative Transcriptomic Analyses of Asian Soybean Rust Resistant and Susceptible Soybean Genotypes Provide Insights into Identifying Disease Resistance Genes. Qingnan Hao,Hongli Yang,Shuilian Chen,Yanhui Qu,Chanjuan Zhang,Limiao Chen,Dong Cao,Songli Yuan,Wei Guo,Zhonglu Yang,Yi Huang,Zhihui Shan,Haifeng Chen,Xinan Zhou. 2023

[17]Identification of Key Genes and Pathways for Anaerobic Germination Tolerance in Rice Using Weighted Gene Co-Expression Network Analysis (WGCNA) in Association with Quantitative Trait Locus (QTL) Mapping. Ming Yin,Zhenzhen Zheng,Yue Zhang,Shanwen Wang,Liying Zuo,Yuxin Lei,Yaqiong Zhao,Xiuqin Zhao,Binying Fu,Yingyao Shi,Jianlong Xu,Wensheng Wang. 2024

[18]Identification of core candidate genes responding to Verticillium wilt (Verticillium dahliae) in cotton via integrated methods. Zengqiang Zhao,Guoli Zhang,Hang Yu,Guoqing Sun,Jianbo Zhu. 2025

[19]Transcriptional Profiling Analysis Providing Insights into the Harsh Environments Tolerance Mechanisms of Krascheninnikovia arborescens. Hongyi Zhang,Yingnan Wang,Binjie Ma,Xiangqi Bu,Zhenhua Dang,Yingchun Wang. 2024

[20]WGCNA revealed a comprehensive gene co-expression network associated with brown spot in Nicotiana tabacum L.. Zhan Shen,Zipeng Jiang,Yalin Bai,Yangyang Li,Chan Qiao,Caihong Jiang,Lirui Cheng,Yuanying Wang,Yinchao Zhang,Aiguo Yang,Dan Liu. 2025

作者其他论文 更多>>