Evidence map›Paper›PMID 23275873›Full record

ArticleG3 (Bethesda, Md.)2012

Invariance (?) of mutational parameters for relative fitness over 400 generations of mutation accumulation in Caenorhabditis elegans.

Chikako Matsuba, Suzanna Lewis, Dejerianne G Ostrow, Matthew P Salomon, Laurence Sylvestre, Brandon Tabman, Judit Ungvari-Martin, Charles F Baer

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Natural variation inGenome research · 2022
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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.

Chikako MatsubaDepartment of Biology, University of Florida, Gainesville, Florida 32611-8525, USA.
Suzanna Lewis
Dejerianne G Ostrow
Matthew P Salomon
Laurence Sylvestre
Brandon Tabman
Judit Ungvari-Martin
Charles F Baer

Funding

Evolutionary Causes and Consequences of Variation in the Rate of MutationR01GM072639 · NIGMS · UNIVERSITY OF FLORIDA · PI BAER, CHARLES F · 2006 to 2010
$1.5M
NIGMS NIH HHS R01 GM072639NIGMS NIH HHS R01GM072639
6 · The paper itself

Abstract

Evidence is accumulating that individuals in poor physiologic condition may accumulate mutational damage faster than individuals in good condition. If poor condition results from pre-existing deleterious mutations, the result is "fitness-dependent mutation rate," which has interesting theoretical implications. Here we report a study in which 10 mutation accumulation (MA) lines of the nematode Caenorhabditis elegans that had previously accumulated mutations for 250 generations under relaxed selection were expanded into sets of "second-order" MA lines and allowed to accumulate mutations for an additional 150 generations. The 10 lines were chosen on the basis of the relative change in fitness over the first 250 generations of MA, five high-fitness lines and five low-fitness lines. On average, the mutational properties (per-generation change in mean relative fitness, mutational variance, and Bateman-Mukai estimates of genomic mutation rate and average mutational effect) of the high-fitness and low-fitness did not differ significantly, and averaged over all lines, the point estimates were extremely close to those of the first-order MA experiment after 200 generations of MA. However, several nonsignificant trends indicate that low-fitness lines may in fact be more likely to suffer mutational damage than high-fitness lines.

Indexed as

MutationAnimalsCaenorhabditis elegansModels, GeneticModels, StatisticalSelection, GeneticBateman-Mukai methodfitness-dependent mutationgenetic loadmutational variance

Identifiers

PMID23275873
PMCPMC3516472

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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.