Evidence map›Paper›PMID 24772292›Full record

ArticleEcology and evolution2014

Stressful environments can indirectly select for increased longevity.

Fiona R Savory, Timothy G Benton, Varun Varma, Ian A Hope, Steven M Sait

Abstract read
In one paragraph

Article in Ecology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
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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

5 authors.

Fiona R SavoryFaculty of Biological Sciences, School of Biology, University of Leeds Leeds, LS2 9JT, U.K ; National Centre for Biological Sciences, TATA Institute of Fundamental Research Bangalore, 560 065, India.
Timothy G BentonFaculty of Biological Sciences, School of Biology, University of Leeds Leeds, LS2 9JT, U.K.
Varun VarmaFaculty of Biological Sciences, School of Biology, University of Leeds Leeds, LS2 9JT, U.K ; National Centre for Biological Sciences, TATA Institute of Fundamental Research Bangalore, 560 065, India.
Ian A HopeFaculty of Biological Sciences, School of Biology, University of Leeds Leeds, LS2 9JT, U.K.
Steven M SaitFaculty of Biological Sciences, School of Biology, University of Leeds Leeds, LS2 9JT, U.K.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Longevity is modulated by a range of conserved genes in eukaryotes, but it is unclear how variation in these genes contributes to the evolution of longevity in nature. Mutations that increase life span in model organisms typically induce trade-offs which lead to a net reduction in fitness, suggesting that such mutations are unlikely to become established in natural populations. However, the fitness consequences of manipulating longevity have rarely been assessed in heterogeneous environments, in which stressful conditions are encountered. Using laboratory selection experiments, we demonstrate that long-lived, stress-resistant Caenorhabditis elegans age-1(hx546) mutants have higher fitness than the wild-type genotype if mixed genotype populations are periodically exposed to high temperatures when food is not limited. We further establish, using stochastic population projection models, that the age-1(hx546) mutant allele can confer a selective advantage if temperature stress is encountered when food availability also varies over time. Our results indicate that heterogeneity in environmental stress may lead to altered allele frequencies over ecological timescales and indirectly drive the evolution of longevity. This has important implications for understanding the evolution of life-history strategies.

Indexed as

Caenorhabditis elegansfitnesslongevitystress resistancetrade-offs

Identifiers

PMID24772292
PMCPMC3997331

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.