Evidence map›Paper›PMID 36112081›Full record

ArticleMolecular ecology2022

Adapting to climate with limited genetic diversity: Nucleotide, DNA methylation and microbiome variation among populations of the social spider Stegodyphus dumicola.

Anne Aagaard, Shenglin Liu, Tom Tregenza, Marie Braad Lund, Andreas Schramm, Koen J F Verhoeven, Jesper Bechsgaard, Trine Bilde

Abstract read
In one paragraph

Article in Molecular ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Environmental epigenetics and climate change.Environmental epigenetics · 2023
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Anne AagaardSection for Genetics, Ecology & Evolution, Department of Biology, Aarhus University, Aarhus C, Denmark.ORCID 0000-0001-7044-5177
Shenglin LiuSection for Genetics, Ecology & Evolution, Department of Biology, Aarhus University, Aarhus C, Denmark.
Tom TregenzaCentre for Ecology & Conservation, School of Biosciences, University of Exeter, Penryn Campus, UK.ORCID 0000-0003-4182-2222
Marie Braad LundSection for Microbiology, Department of Biology, Aarhus University, Aarhus C, Denmark.ORCID 0000-0003-1543-1009
Andreas SchrammSection for Microbiology, Department of Biology, Aarhus University, Aarhus C, Denmark.ORCID 0000-0002-7614-9616
Koen J F VerhoevenTerrestrial Ecology Department, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands.ORCID 0000-0003-3002-4102
Jesper BechsgaardSection for Genetics, Ecology & Evolution, Department of Biology, Aarhus University, Aarhus C, Denmark.ORCID 0000-0003-3273-0174
Trine BildeSection for Genetics, Ecology & Evolution, Department of Biology, Aarhus University, Aarhus C, Denmark.ORCID 0000-0002-0341-161X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the role of genetic and nongenetic variants in modulating phenotypes is central to our knowledge of adaptive responses to local conditions and environmental change, particularly in species with such low population genetic diversity that it is likely to limit their evolutionary potential. A first step towards uncovering the molecular mechanisms underlying population-specific responses to the environment is to carry out environmental association studies. We associated climatic variation with genetic, epigenetic and microbiome variation in populations of a social spider with extremely low standing genetic diversity. We identified genetic variants that are associated strongly with environmental variation, particularly with average temperature, a pattern consistent with local adaptation. Variation in DNA methylation in many genes was strongly correlated with a wide set of climate parameters, thereby revealing a different pattern of associations than that of genetic variants, which show strong correlations to a more restricted range of climate parameters. DNA methylation levels were largely independent of cis-genetic variation and of overall genetic population structure, suggesting that DNA methylation can work as an independent mechanism. Microbiome composition also correlated with environmental variation, but most strong associations were with precipitation-related climatic factors. Our results suggest a role for both genetic and nongenetic mechanisms in shaping phenotypic responses to local environments.

Indexed as

MicrobiotaSpidersAnimalsDNA MethylationGenetic VariationNucleotidesNucleotidesadaptationDNA methylationlow evolutionary potentialmicrobiomephenotypic plasticitysocial spiders

Identifiers

PMID36112081
PMCPMC9827990

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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.