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Rego, A., Chaturvedi, S., Springer, A., Lish, A. M., Barton, C. L., Kapheim, K. M., . . . Gompert, Z. (2020). Combining Experimental Evolution and Genomics to Understand How Seed Beetles Adapt to a Marginal Host Plant. Genes, 11(4), Article ID 400.
Open this publication in new window or tab >>Combining Experimental Evolution and Genomics to Understand How Seed Beetles Adapt to a Marginal Host Plant
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2020 (English)In: Genes, E-ISSN 2073-4425, Vol. 11, no 4, article id 400Article in journal (Refereed) Published
Abstract [en]

Genes that affect adaptive traits have been identified, but our knowledge of the genetic basis of adaptation in a more general sense (across multiple traits) remains limited. We combined population-genomic analyses of evolve-and-resequence experiments, genome-wide association mapping of performance traits, and analyses of gene expression to fill this knowledge gap and shed light on the genomics of adaptation to a marginal host (lentil) by the seed beetle Callosobruchus maculatus. Using population-genomic approaches, we detected modest parallelism in allele frequency change across replicate lines during adaptation to lentil. Mapping populations derived from each lentil-adapted line revealed a polygenic basis for two host-specific performance traits (weight and development time), which had low to modest heritabilities. We found less evidence of parallelism in genotype-phenotype associations across these lines than in allele frequency changes during the experiments. Differential gene expression caused by differences in recent evolutionary history exceeded that caused by immediate rearing host. Together, the three genomic datasets suggest that genes affecting traits other than weight and development time are likely to be the main causes of parallel evolution and that detoxification genes (especially cytochrome P450s and beta-glucosidase) could be especially important for colonization of lentil by C. maculatus.

Keywords
plant-insect interaction, host shift, parallel evolution, detoxification, experimental evolution, population genomics, genome-wide association mapping, gene expression, Callosobruchus maculatus
National Category
Biological Sciences
Identifiers
urn:nbn:se:su:diva-183162 (URN)10.3390/genes11040400 (DOI)000537224600097 ()32276323 (PubMedID)
Available from: 2020-07-01 Created: 2020-07-01 Last updated: 2024-07-04Bibliographically approved
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-4511-4576

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