Capturing the transcription factor interactome in response to sub-lethal insecticide exposure
Capturing the transcription factor interactome in response to sub-lethal insecticide exposure
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捕获响应亚致死杀虫剂暴露的转录因子相互作用组
DOI：
10.1101/2020.11.26.399691
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Ingham V
中科院分区：
文献类型：
--
作者：
Ingham V
农业病虫害媒介对农药的抗药性日益增强，对粮食安全和全球健康构成威胁。随着杀虫剂抗性强度的增强和扩散，害虫遭遇亚致死剂量杀虫剂的可能性急剧增加。在这里，我们将动态贝叶斯网络应用于使用亚致死拟除虫菊酯类杀虫剂暴露在高度抗性的科鲁兹疟蚊种群中产生的转录组时间过程。该模型考虑了昼夜节律和衰老效应，从而高可信度地确定了在农药反应中起关键作用的转录因子。该模型产生的关联显示出与实验室验证的高度一致性，并确定了44个转录因子调节杀虫剂应答转录物。我们确定了六个关键的调节，每个显示不同的富集条件，显示农药反应的复杂性。农业害虫和病媒中相当多的抗性机制重叠强烈表明，这些发现适用于多种害虫。
The increasing levels of pesticide resistance in agricultural pests and disease vectors represents a threat to both food security and global health. As insecticide resistance intensity strengthens and spreads, the likelihood of a pest encountering a sub-lethal dose of pesticide dramatically increases. Here, we apply dynamic Bayesian networks to a transcriptome time-course generated using sub-lethal pyrethroid exposure on a highly resistantAnopheles coluzziipopulation. The model accounts for circadian rhythm and ageing effects allowing high confidence identification of transcription factors with key roles in pesticide response. The associations generated by this model show high concordance with lab-based validation and identifies 44 transcription factors putatively regulating insecticide-responsive transcripts. We identify six key regulators, with each displaying differing enrichment terms, demonstrating the complexity of pesticide response. The considerable overlap of resistance mechanisms in agricultural pests and disease vectors strongly suggests that these findings are relevant in a wide variety of pest species.
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影响因子：
3
作者：
Samuel S. C. Rund;Aidan J. O’Donnell;J. E. Gentile;S. E. Reece
通讯作者：
S. E. Reece
影响因子：
4.3
作者：
Zhang R;Ren Z;Chen W
通讯作者：
Chen W
果蝇的显性眼下垂突变定义了与正常眼睛发育有关的两个基因座
DOI：
10.1007/bf00286695
发表时间：
1994
期刊：
Molecular and General Genetics MGG
影响因子：
--
作者：
R. Tearle;A. Tomlinson;R. Saint
通讯作者：
R. Saint
影响因子：
4.4
作者：
Toé KH;N'Falé S;Dabiré RK;Ranson H;Jones CM
通讯作者：
Jones CM
影响因子：
5.3
作者：
Reddy, B. Ashok;Bajpe, Prashanth Kumar;Verrijzer, C. Peter
通讯作者：
Verrijzer, C. Peter