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Naturally segregating genetic variants contribute to thermal tolerance in a Drosophila melanogaster model system.
- Source :
-
Genetics [Genetics] 2024 May 07; Vol. 227 (1). - Publication Year :
- 2024
-
Abstract
- Thermal tolerance is a fundamental physiological complex trait for survival in many species. For example, everyday tasks such as foraging, finding a mate, and avoiding predation are highly dependent on how well an organism can tolerate extreme temperatures. Understanding the general architecture of the natural variants within the genes that control this trait is of high importance if we want to better comprehend thermal physiology. Here, we take a multipronged approach to further dissect the genetic architecture that controls thermal tolerance in natural populations using the Drosophila Synthetic Population Resource as a model system. First, we used quantitative genetics and Quantitative Trait Loci mapping to identify major effect regions within the genome that influences thermal tolerance, then integrated RNA-sequencing to identify differences in gene expression, and lastly, we used the RNAi system to (1) alter tissue-specific gene expression and (2) functionally validate our findings. This powerful integration of approaches not only allows for the identification of the genetic basis of thermal tolerance but also the physiology of thermal tolerance in a natural population, which ultimately elucidates thermal tolerance through a fitness-associated lens.<br />Competing Interests: Conflicts of interest: The author(s) declare no conflicts of interest.<br /> (© The Author(s) 2024. Published by Oxford University Press on behalf of The Genetics Society of America. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our siteāfor further information please contact journals.permissions@oup.com.)
Details
- Language :
- English
- ISSN :
- 1943-2631
- Volume :
- 227
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Genetics
- Publication Type :
- Academic Journal
- Accession number :
- 38506092
- Full Text :
- https://doi.org/10.1093/genetics/iyae040