Sammanfattning

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.

Nyckelord

climate change; contemporary natural selection; gene expression; host–parasite relationships; selection differential and gradient

Publicerad i

Molecular Ecology
2021, Volym: 30, sidor: 2724–2737

SLU författare

• Ozerov, Mikhail

  • Institutionen för akvatiska resurser (SLU Aqua), Sveriges lantbruksuniversitet
    
  • Turun Yliopisto

• Vasemägi, Anti

  • Institutionen för akvatiska resurser (SLU Aqua), Sveriges lantbruksuniversitet
    
  • Eesti Maülikool

Globala målen

Vidta omedelbara åtgärder för att bekämpa klimatförändringarna och dess konsekvenser


UKÄ forskningsämne

Evolutionsbiologi
Genetik
Bioinformatik och systembiologi


Publikationens identifierare

DOI: https://doi.org/10.1111/mec.15743

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/108958