Evidence map›Paper›PMID 26663473›Full record

ArticleJournal of evolutionary biology2016

Fitness effects of new mutations in Chlamydomonas reinhardtii across two stress gradients.

S A Kraemer, A D Morgan, R W Ness, P D Keightley, N Colegrave

Open access · hybridAbstract read
In one paragraph

Article in Journal of evolutionary biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

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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 at 1 institution in 1 country.

S A KraemerAshworth Laboratories, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-4418-1873
A D MorganAshworth Laboratories, University of Edinburgh, Edinburgh, UK.
R W NessAshworth Laboratories, University of Edinburgh, Edinburgh, UK.
P D KeightleyAshworth Laboratories, University of Edinburgh, Edinburgh, UK.
N ColegraveAshworth Laboratories, University of Edinburgh, Edinburgh, UK.
University of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most spontaneous mutations affecting fitness are likely to be deleterious, but the strength of selection acting on them might be impacted by environmental stress. Such stress-dependent selection could expose hidden genetic variation, which in turn might increase the adaptive potential of stressed populations. On the other hand, this variation might represent a genetic load and thus lead to population extinction under stress. Previous studies to determine the link between stress and mutational effects on fitness, however, have produced inconsistent results. Here, we determined the net change in fitness in 29 genotypes of the green algae Chlamydomonas reinhardtii that accumulated mutations in the near absence of selection for approximately 1000 generations across two stress gradients, increasing NaCl and decreasing phosphate. We found mutational effects to be magnified under extremely stressful conditions, but such effects were specific both to the type of stress and to the genetic background. The detection of stress-dependent fitness effects of mutations depended on accurately scaling relative fitness measures by generation times, thus offering an explanation for the inconsistencies among previous studies.

Indexed as

MutationChlamydomonas reinhardtiiGene-Environment InteractionGenetic FitnessGenetic VariationMutation AccumulationStress, PhysiologicalChlamydomonasgreen algaemutation accumulationstressstress-dependent fitness effects

Identifiers

PMID26663473
PMCPMC4982031
OpenAlexW2275913020

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.