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Intersecting experimental evolution and CRISPR screens to identify novel toxin resistance loci
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Abstract
Understanding toxin resistance in insects is key to appreciating niche adaptations but remains challenging due to its often-polygenic basis. A well-known example is the specialized association of Drosophila sechellia with noni fruit ( Morinda citrifolia ), which is toxic to other insects, including Drosophila simulans and Drosophila melanogaster . The main noni toxin is octanoic acid (OA), but the mechanisms that determine sensitivity or resistance to OA in different species remain unclear. Here, we experimentally evolved D. simulans with increased OA resistance, identifying multiple loci under selection. Cross-referencing these with a genome-wide, OA resistance CRISPR screen in a D. melanogaster cell line highlighted two proteins: Kraken, a putative detoxification enzyme expressed in digestive and renal tissues, and Alkbh7, a mitochondrial protein linked to fatty acid metabolism. Both genes show elevated expression in D. sechellia and OA-resistant D. simulans . In D. melanogaster , kraken mutants are more OA-sensitive, while Alkbh7 overexpression increased OA resistance. Mutation of these genes in D. sechellia reduced OA tolerance. Our identification of genes contributing to OA resistance in laboratory and natural contexts demonstrates how complementary selection approaches can provide insights into complex mechanisms of toxin susceptibility and adaptation. Such methods could have practical applications in the characterization of natural and artificial insecticides.
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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · cited 1×
“A AlphaFold protein models for D. melanogaster Kraken (AF-O18391-F1-model_v4) and Alkbh7 (AF-Q9VTP1-F1-model_v4) [139, 140], highlighting a conserved putative catalytic serine in the active site in Kraken, and the mitochondrial targeting sequence in Alkbh7 (predicted by MitoFates [79]).”
Kofler, R., Pandey, R. V., & Schlötterer, C. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr589 · Cited by 815
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Metadata
- Authors
- Marconcini, M., Cruchet, S., Goswami, S., Viswanatha, R., Butnaru, M., De, J., Roselli, C., Hadjieconomou, D., Perrimon, N., Mohr, S. E., & Benton, R.
- Affiliations
- University of Lausanne (CH)
- Harvard University (US)
- Howard Hughes Medical Institute (US)
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Benton, Richard
- ORCID
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- eLife
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- eLife Sciences Publications, Ltd
- Published
- 2026-09-11
- Volume
- 15
- ISSN
- 2050-084X (ISSN-L)
- OpenAlex
- W7212264776
- Cited by
- 2
- References
- 2
- Citations by year
- 2026: 2
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- posted content
- Language
- en
- Open access
- gold
- doi.org
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- eLife (publishedVersion, cc-by)
- eLife (acceptedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- IRIS (submittedVersion)
- PubMed Central (submittedVersion)
- SERVAL (Université de Lausanne) (submittedVersion)
- Funders
- European Research Council (10.3030/101117267, 10.3030/833548)
- Howard Hughes Medical Institute
- Schweizerische Nationalfonds zur Förderung der wissenschaftlichen Forschung (310030_219185, 3200-0-239882)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Insect Resistance and Genetics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
- Keywords
- toxin resistance, octanoic acid, Drosophila sechellia, Drosophila simulans, Drosophila melanogaster, experimental evolution, CRISPR screen, Kraken, noni fruit, insecticide resistance, polygenic adaptation, detoxification, fatty acid metabolism, niche adaptation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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