Evidence map›Paper›PMID 19671885›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2009

Genetic (Co)variation for life span in rhabditid nematodes: role of mutation, selection, and history.

Joanna Joyner-Matos, Ambuj Upadhyay, Matthew P Salomon, Veronica Grigaltchik, Charles F Baer

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. The mutational structure of metabolism in Caenorhabditis elegans.Evolution; international journal of organic evolution · 2016
    Article
  5. Article
  6. Article
  7. 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.

Joanna Joyner-MatosDepartment of Biology, Eastern Washington University, Cheney, WA 99004-2440, USA. jmatos@mail.ewu.edu
Ambuj Upadhyay
Matthew P Salomon
Veronica Grigaltchik
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 1 R01GM072639-01A2NIGMS NIH HHS R01 GM072639
6 · The paper itself

Abstract

The evolutionary mechanisms maintaining genetic variation in life span, particularly post-reproductive life span, are poorly understood. We characterized the effects of spontaneous mutations on life span in the rhabditid nematodes Caenorhabditis elegans and C. briggsae and standing genetic variance for life span and correlation of life span with fitness in C. briggsae. Mutations decreased mean life span, a signature of directional selection. Mutational correlations between life span and fitness were consistently positive. The average selection coefficient against new mutations in C. briggsae was approximately 2% when homozygous. The pattern of phylogeographic variation in life span is inconsistent with global mutation-selection balance (MSB), but MSB appears to hold at the local level. Standing genetic correlations in C. briggsae reflect mutational correlations at a local scale but not at a broad phylogeographic level. At the local scale, results are broadly consistent with predictions of the "mutation accumulation" hypothesis for the evolution of aging.

Indexed as

Genetic VariationMutationSelection, GeneticAgingAnimalsCaenorhabditisCaenorhabditis elegansMortality

Identifiers

PMID19671885
PMCPMC2759666

What OpenQuestion holds

Textmetadata
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.