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bioRxiv · 10.1101/2022.07.19.500708

Discovery of malathion resistance QTL in Drosophila melanogaster using a bulked phenotyping approach

Abstract

Drosophila melanogaster has proven an effective system with which to understand the evolutionary genetics and molecular mechanisms of insecticide resistance. Insecticide use has left signatures of selection in the fly genome, and both functional and quantitative genetics studies in the system have identified genes and variants associated with resistance. Here, we use D. melanogaster and leverage a bulk phenotyping and pooled sequencing "extreme QTL" approach to genetically dissect variation in resistance to malathion, an organophosphate insecticide. We resolve two QTL (Quantitative Trait Loci), one of which implicates allelic variation at the cytochrome P450 gene Cyp6g1, a strong candidate based on previous work. The second shows no overlap with hits from a previous genomewide association study (GWAS) for malathion resistance, recapitulating other studies showing that different strategies for complex trait dissection in flies can yield apparently different architectures. Notably, we see no genetic signal at the Ace gene. Ace encodes the target of organophosphate insecticide inhibition, and GWAS have identified strong Ace-linked associations with resistance. The absence of QTL implicating Ace here is most likely because our mapping population does not segregate for several of the known functional polymorphisms impacting resistance at Ace, perhaps because our population is derived from flies collected prior to the widespread use of organophosphate insecticides. Our fundamental approach can be an efficient, powerful strategy to dissect genetic variation in resistance traits. Nonetheless, studies seeking to interrogate contemporary insecticide resistance variation may benefit from deriving mapping populations from more recently collected strains.

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BibTeXRIS

Macdonald, S. J., Long, A. D.. 2022-07-20. Discovery of malathion resistance QTL in Drosophila melanogaster using a bulked phenotyping approach. https://doi.org/10.1101/2022.07.19.500708

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