Evidence map›Paper›PMID 33219570›Full record

ArticleMolecular ecology2021

The strength and form of natural selection on transcript abundance in the wild.

Freed Ahmad, Paul V Debes, Ilkka Nousiainen, Siim Kahar, Lilian Pukk, Riho Gross, Mikhail Ozerov, Anti Vasemägi

Open access · hybridAbstract read
In one paragraph

Article in Molecular ecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 28 citations in OpenAlex.

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  7. Systems genomics of salinity stress response in rice.bioRxiv : the preprint server for biology · 2024
    Article
  8. Fixation of Expression Divergences by Natural Selection inInternational journal of molecular sciences · 2024
    Article
  9. Subtle transcriptomic response of Eurasian perch (International journal for parasitology. Parasites and wildlife · 2023
    Article
  10. Article
  11. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 4 countries.

Freed AhmadDepartment of Biology, University of Turku, Turku, Finland.ORCID 0000-0002-8994-4723
Paul V DebesDepartment of Aquaculture and Fish Biology, Hólar University, Sauðárkrókur, Iceland.ORCID 0000-0003-4491-9564
Ilkka NousiainenDepartment of Aquaculture, Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Tartu, Estonia.
Siim KaharDepartment of Biology, University of Turku, Turku, Finland.
Lilian PukkDepartment of Aquaculture, Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Tartu, Estonia.
Riho GrossDepartment of Aquaculture, Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Tartu, Estonia.
Mikhail OzerovDepartment of Biology, University of Turku, Turku, Finland.
Anti VasemägiDepartment of Aquaculture, Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Tartu, Estonia.ORCID 0000-0002-2184-5534
Estonian University of Life Sciences · EEUniversity of Turku · FIHólar University College · IS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Fish DiseasesKidney DiseasesMyxozoaAnimalsSelection, GeneticTroutclimate changecontemporary natural selectiongene expressionhost-parasite relationshipsselection differential and gradient

Identifiers

PMID33219570
PMCPMC8246785
OpenAlexW3105682779

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.