Transcriptomic meta-signatures identified in Anopheles gambiae populations reveal previously undetected insecticide resistance mechanisms

Ingham, Victoria ORCID: https://orcid.org/0000-0001-5708-4741, Wagstaff, Simon ORCID: https://orcid.org/0000-0003-0577-5537 and Ranson, Hilary ORCID: https://orcid.org/0000-0003-2332-8247 (2018) 'Transcriptomic meta-signatures identified in Anopheles gambiae populations reveal previously undetected insecticide resistance mechanisms'. Nature Communications, Vol 9, e5282.

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Abstract

Increasing insecticide resistance in malaria-transmitting vectors represents a public health threat, but underlying mechanisms are poorly understood. Here, a data integration approach is used to analyse transcriptomic data from comparisons of insecticide resistant and susceptible Anopheles populations from disparate geographical regions across the African continent. An unbiased, integrated analysis of this data confirms previously described resistance candidates but also identifies multiple novel genes involving alternative resistance mechanisms, including sequestration, and transcription factors regulating multiple downstream effector genes, which are validated by gene silencing. The integrated datasets can be interrogated with a bespoke Shiny R script, deployed as an interactive web-based application, that maps the expression of resistance candidates and identifies co-regulated transcripts that may give clues to the function of novel resistance-associated genes. Increasing insecticide resistance of mosquitoes represents a public health threat, and underlying mechanisms are poorly understood. Here, Ingham et al. identify putative insecticide resistance genes in Anopheles gambiae populations across Africa and develop a web-based application that maps their expression.

Item Type:	Article
Subjects:	QU Biochemistry > Genetics > QU 470 Genetic structures QX Parasitology > QX 20 Research (General) QX Parasitology > Insects. Other Parasites > QX 515 Anopheles WC Communicable Diseases > Tropical and Parasitic Diseases > WC 750 Malaria
Faculty: Department:	Biological Sciences > Vector Biology Department
Digital Object Identifer (DOI):	https://doi.org/10.1038/s41467-018-07615-x
Depositing User:	Daisy Byrne
Date Deposited:	14 Dec 2018 10:42
Last Modified:	17 Sep 2019 13:33
URI:	https://archive.lstmed.ac.uk/id/eprint/9737

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