Research article - Peer-reviewed, 2021
The strength and form of natural selection on transcript abundance in the wild
Ahmad, Freed; Debes, Paul, V; Nousiainen, Ilkka; Kahar, Siim; Pukk, Lilian; Gross, Riho; Ozerov, Mikhail; Vasemagi, AntiAbstract
Gene transcription variation is known to contribute to disease susceptibility and adaptation, but we currently know very little about how contemporary natural selection shapes transcript abundance. Here, we propose a novel analytical framework to quantify the strength and form of ongoing natural selection at the transcriptome level in a wild vertebrate. We estimated selection on transcript abundance in a cohort of a wild salmonid fish (Salmo trutta) affected by an extracellular myxozoan parasite (Tetracapsuloides bryosalmonae) through mark-recapture field sampling and the integration of RNA-sequencing with classical regression-based selection analysis. We show, based on fin transcriptomes of the host, that infection by the parasite and subsequent host survival is linked to upregulation of mitotic cell cycle process. We also detect a widespread signal of disruptive selection on transcripts linked to host immune defence, host-pathogen interactions, cellular repair and maintenance. Our results provide insights into how selection can be measured at the transcriptome level to dissect the molecular mechanisms of contemporary evolution driven by climate change and emerging anthropogenic threats. We anticipate that the approach described here will enable critical information on the molecular processes and targets of natural selection to be obtained in real time.Keywords
climate change; contemporary natural selection; gene expression; host–parasite relationships; selection differential and gradientPublished in
Molecular Ecology2021, volume: 30, pages: 2724–2737
Authors' information
Ahmad, Freed
University of Turku
Debes, Paul V.
Hólar University College
Nousiainen, Ilkka
Estonian University of Life Sciences
Kahar, Siim
Estonian University of Life Sciences
Pukk, Lilian
Estonian University of Life Sciences
Gross, Riho
Estonian University of Life Sciences
Ozerov, Mikhail
University of Turku
Ozerov, Mikhail
Swedish University of Agricultural Sciences, Department of Aquatic Resources
Estonian University of Life Sciences
Swedish University of Agricultural Sciences, Department of Aquatic Resources
Sustainable Development Goals
SDG13 Climate action
UKÄ Subject classification
Evolutionary Biology
Genetics
Bioinformatics and Systems Biology
Publication Identifiers
DOI: https://doi.org/10.1111/mec.15743
URI (permanent link to this page)
https://res.slu.se/id/publ/108958