Dataset Information

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

ABSTRACT: 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.

SUBMITTER: Ingham VA

PROVIDER: S-EPMC8702396 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Ingham Victoria A VA Elg Sara S Nagi Sanjay C SC Dondelinger Frank F

Current research in insect science 20210101

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 <i>Anopheles coluzzii</i> population. The model accounts ...[more]

PMID: 34977825

Similar Datasets

Project description:The toxin ricin has been shown to cause inflammatory lung damage, leading to pulmonary oedema and, at higher doses, mortality. In order to understand the genetic basis of this inflammatory cascade a custom microarray platform (1509 genes) directed towards immune and inflammatory markers was used to investigate the temporal expression profiles of genes in a Balb/c mouse model of inhalational ricin exposure. To facilitate examination of those genes involved in both inflammatory cascades and wound repair the dose which was investigated was sub-lethal across a 96 hour time course. Histopathology of the lung was mapped across the time course and genetic responses considered in the context of overall lung pathology. 685 genes were found to be statistically significantly different compared to controls, across the time course and these genes have been investigated in the context of their biological function in ricin poisoning. As well as confirming key inflammatory markers associated with ricin intoxication (TNFa and Il1b) several pathways that are altered in expression were identified following pulmonary exposure to ricin. These genes included those involved in cytokine-cytokine signalling cascades (IL1, IL1r, IL1r2, Ccl 4, 6, 10), focal adhesion (Fn1, ICAM1) and tissue remodelling (VEGF, Pim1). Furthermore, the observed alteration in expression of matrix metalloproteinases (MMPs) and their inhibitors (TIMPs) indicates a key role in membrane integrity and cellular adhesion in ricin poisoning. Data captured using this transcriptomic approach could be used to develop a specific approach to the treatment of inhalational ricin exposure. This work was conducted as part of a wider programme of work to compare a number of militarily relevant lung damaging agents, with a view to establishing a rational basis for the identification of more generic medical countermeasures. Four groups of six mice were exposed to ricin and a further groups exposed to vehicle only control (PBS). Following exposure mice were culled at 6 timepoints (1, 4, 7, 24, 48 and 96h). RNA was extracted and run on the custom array.

Dataset Information

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

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets