Evidence map›Paper›PMID 39139098›Full record

ArticleGenetics2024

Direct inference of the distribution of fitness effects of spontaneous mutations from recombinant inbred Caenorhabditis elegans mutation accumulation lines.

Timothy A Crombie, Moein Rajaei, Ayush Shekhar Saxena, Lindsay M Johnson, Sayran Saber, Robyn E Tanny, José Miguel Ponciano, Erik C Andersen, Juannan Zhou, Charles F Baer

Abstract read
In one paragraph

Article in Genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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

10 authors.

Timothy A CrombieDepartment of Biology, University of Florida, Gainesville, FL 32611, USA.
Moein RajaeiDepartment of Biology, University of Florida, Gainesville, FL 32611, USA.
Ayush Shekhar SaxenaDepartment of Biology, University of Florida, Gainesville, FL 32611, USA.
Lindsay M JohnsonDepartment of Biology, University of Florida, Gainesville, FL 32611, USA.
Sayran SaberDepartment of Biology, University of Florida, Gainesville, FL 32611, USA.
Robyn E TannyDepartment of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA.
José Miguel PoncianoDepartment of Biology, University of Florida, Gainesville, FL 32611, USA.
Erik C AndersenDepartment of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA.
Juannan ZhouDepartment of Biology, University of Florida, Gainesville, FL 32611, USA.
Charles F BaerDepartment of Biology, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0002-0140-5814

Funding

100K spontaneous mutations: the foundation for an evolutionary systems biology of C. elegansR01GM127433 · NIGMS · UNIVERSITY OF FLORIDA · PI BAER, CHARLES F, KATJU, VAISHALI · 2018 to 2021
$1.3M
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
NIGMS NIH HHS R01 GM107227NIGMS NIH HHS R01 GM127433NIH HHS GM107227
6 · The paper itself

Abstract

The distribution of fitness effects of new mutations plays a central role in evolutionary biology. Estimates of the distribution of fitness effect from experimental mutation accumulation lines are compromised by the complete linkage disequilibrium between mutations in different lines. To reduce the linkage disequilibrium, we constructed 2 sets of recombinant inbred lines from a cross of 2 Caenorhabditis elegans mutation accumulation lines. One set of lines ("RIAILs") was intercrossed for 10 generations prior to 10 generations of selfing; the second set of lines ("RILs") omitted the intercrossing. Residual linkage disequilibrium in the RIAILs is much less than in the RILs, which affects the inferred distribution of fitness effect when the sets of lines are analyzed separately. The best-fit model estimated from all lines (RIAILs + RILs) infers a large fraction of mutations with positive effects (∼40%); models that constrain mutations to have negative effects fit much worse. The conclusion is the same using only the RILs. For the RIAILs, however, models that constrain mutations to have negative effects fit nearly as well as models that allow positive effects. When mutations in high linkage disequilibrium are pooled into haplotypes, the inferred distribution of fitness effect becomes increasingly negative-skewed and leptokurtic. We conclude that the conventional wisdom-most mutations have effects near 0, a handful of mutations have effects that are substantially negative, and mutations with positive effects are very rare-is likely correct, and that unless it can be shown otherwise, estimates of the distribution of fitness effect that infer a substantial fraction of mutations with positive effects are likely confounded by linkage disequilibrium.

Indexed as

Caenorhabditis elegansGenetic FitnessLinkage DisequilibriumModels, GeneticMutation AccumulationAnimalsCrosses, GeneticHaplotypesInbreedingMutationRecombination, Geneticadvanced intercrossBayesian inferencecompetitive fitnessheritabilitylinkage disequilibrium

Identifiers

PMID39139098
PMCPMC12098947

What Socratic holds

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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 Socratic graph.