Evidence map›Paper›PMID 31462998›Full record

ArticleEcology and evolution2019

The effects of individual nonheritable variation on fitness estimation and coexistence.

M Gabriela M Gomes, Jessica G King, Ana Nunes, Nick Colegrave, Ary A Hoffmann

Abstract read
In one paragraph

Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

M Gabriela M GomesLiverpool School of Tropical Medicine Liverpool UK.ORCID https://orcid.org/0000-0002-1454-4979
Jessica G KingSchool of Biological Sciences, Institute of Evolutionary Biology University of Edinburgh Edinburgh UK.
Ana NunesDepartamento de Física, Faculdade de Ciências BioISI - Biosystems and Integrative Sciences Institute, Universidade de Lisboa Lisboa Portugal.
Nick ColegraveSchool of Biological Sciences, Institute of Evolutionary Biology University of Edinburgh Edinburgh UK.
Ary A HoffmannSchool of BioSciences Bio21 Institute, University of Melbourne Melbourne Vic. Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Demographic theory and data have emphasized that nonheritable variation in individual frailty enables selection within cohorts, affecting the dynamics of a population while being invisible to its evolution. Here, we include the component of individual variation in longevity or viability which is nonheritable in simple bacterial growth models and explore its ecological and evolutionary impacts. First, we find that this variation produces consistent trends in longevity differences between bacterial genotypes when measured across stress gradients. Given that direct measurements of longevity are inevitably biased due to the presence of this variation and ongoing selection, we propose the use of the trend itself for obtaining more exact inferences of genotypic fitness. Second, we show how species or strain coexistence can be enabled by nonheritable variation in longevity or viability. These general conclusions are likely to extend beyond bacterial systems.

Indexed as

bacterial growthcoexistencecohort selectionfitness estimationnonheritable variation

Identifiers

PMID31462998
PMCPMC6706197

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.