Capturing the transcription factor interactome in response to sub-lethal insecticide exposure.

Capturing the transcription factor interactome in response to sub-lethal insecticide exposure.
复制标题

DOI:
10.1016/j.cris.2021.100018
复制
发表时间:
2021
影响因子:
--
通讯作者:
Dondelinger F
Dondelinger F
中科院分区:
其他
文献类型:
--
作者:
Ingham VA;Elg S;Nagi SC;Dondelinger F

文献摘要

参考文献

相似文献

农业害虫和病媒对农药的抗药性日益增加,对粮食安全和全球健康构成威胁。随着杀虫剂抗药性强度的加强和扩散,害虫遇到亚致死剂量杀虫剂的可能性急剧增加。在这里,我们应用动态贝叶斯网络的转录组时间过程中产生的亚致死性拟除虫菊酯暴露在一个高度耐药的按蚊coluzzii人口。该模型占昼夜节律和衰老的影响,允许高置信度识别的转录因子在农药反应的关键作用。该模型产生的关联显示出与基于实验室的验证的高度一致性,并确定了44个转录因子puronunciation调节转录应答转录本。我们确定了六个关键的监管机构,每个显示不同的富集条款,展示了农药反应的复杂性。农业害虫和病媒的抗药性机制有相当大的重叠,这有力地表明,这些发现与各种各样的害虫物种有关。
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 resistant Anopheles coluzzii population. 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.
DOI: 10.1038/sj.emboj.7601532
发表时间: 2007-02-07
期刊: EMBO JOURNAL
影响因子: 11.4
作者:
Astigarraga, Sergio;Grossman, Rona;Jimenez, Gerardo
通讯作者: Jimenez, Gerardo
DOI: 10.1093/bioinformatics/btl143
发表时间: 2006-06-15
期刊: BIOINFORMATICS
影响因子: 5.8
作者:
Adryan, Boris;Teichmann, Sarah A.
通讯作者: Teichmann, Sarah A.
DOI: 10.1007/978-1-4939-8882-2_2
发表时间: 2019-01-01
期刊: GENE REGULATORY NETWORKS
影响因子: --
作者:
Dondelinger, Frank;Mukherjee, Sach
通讯作者: Mukherjee, Sach
DOI: 10.1242/jeb.016451
发表时间: 2008-10
期刊: The Journal of experimental biology
影响因子: --
作者:
Bharucha KN;Tarr P;Zipursky SL
通讯作者: Zipursky SL
DOI: 10.1016/j.cmet.2010.10.001
发表时间: 2010-11-03
期刊: CELL METABOLISM
影响因子: 29
作者:
Beller, Mathias;Bulankina, Anna V.;Kuehnlein, Ronald P.
通讯作者: Kuehnlein, Ronald P.