Evidence map›Paper›PMID 27465022›Full record

ArticleEvolution; international journal of organic evolution2016

The mutational structure of metabolism in Caenorhabditis elegans.

Sarah K Davies, Armand Leroi, Austin Burt, Jacob G Bundy, Charles F Baer

Open access · greenAbstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Fitness effects of spontaneous mutations in a warming world.Evolution; international journal of organic evolution · 2021
    Article
  5. Quo VadisMetabolites · 2021
    Review
  6. Article
  7. Network Architecture and Mutational Sensitivity of theFrontiers in molecular biosciences · 2018
    Article
  8. Article
  9. Review
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 2 institutions in 2 countries.

Sarah K DaviesDepartment of Life Sciences, Imperial College London, United Kingdom.
Armand LeroiDepartment of Life Sciences, Imperial College London, United Kingdom.
Austin BurtDepartment of Life Sciences, Imperial College London, United Kingdom.
Jacob G BundyDepartment of Surgery and Cancer, Imperial College London, United Kingdom.
Charles F BaerDepartment of Biology, University of Florida, Gainesville, Florida. cbaer@ufl.edu.
Imperial College London · GBUniversity of Florida · US

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
Determination of the distribution of fitness effects of mutations in C. elegansR01GM107227 · NIGMS · UNIVERSITY OF FLORIDA · PI BAER, CHARLES F · 2014 to 2017
$1.1M
COMPARATIVE MUTATION ACCUMULATION IN RHABDITID NEMATODESF32GM020887 · NIGMS · UNIVERSITY OF OREGON · PI BAER, CHARLES F · 2001 to 2003
$107k
NIGMS NIH HHS F32 GM020887NIGMS NIH HHS R01 GM072639NIGMS NIH HHS R01 GM107227
6 · The paper itself

Abstract

A properly functioning organism must maintain metabolic homeostasis. Deleterious mutations degrade organismal function, presumably at least in part via effects on metabolic function. Here we present an initial investigation into the mutational structure of the Caenorhabditis elegans metabolome by means of a mutation accumulation experiment. We find that pool sizes of 29 metabolites vary greatly in their vulnerability to mutation, both in terms of the rate of accumulation of genetic variance (the mutational variance, VM) and the rate of change of the trait mean (the mutational bias, ΔM). Strikingly, some metabolites are much more vulnerable to mutation than any other trait previously studied in the same way. Although we cannot statistically assess the strength of mutational correlations between individual metabolites, principal component analysis provides strong evidence that some metabolite pools are genetically correlated, but also that there is substantial scope for independent evolution of different groups of metabolites. Averaged over mutation accumulation lines, PC3 is positively correlated with relative fitness, but a model in which metabolites are uncorrelated with fitness is nearly as good by Akaike's Information Criterion.

Indexed as

Mutation AccumulationAnimalsCaenorhabditis elegansGenetic FitnessMetabolomeMutationFitnessmetabolomemutation accumulationmutational biasmutational variance

Identifiers

PMID27465022
PMCPMC5050113
OpenAlexW2475743916

What OpenQuestion holds

Textmetadata
LicenceTDM
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.