Evidence map›Paper›PMID 38241518›Full record

ArticleEvolution; international journal of organic evolution2024

Wright was right: leveraging old data and new methods to illustrate the critical role of epistasis in genetics and evolution.

Jorja Burch, Maximos Chin, Brian E Fontenot, Sabyasachi Mandal, Thomas D McKnight, Jeffery P Demuth, Heath Blackmon

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 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
  2. Article
  3. Review
  4. 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

7 authors.

Jorja BurchDepartment of Biology, Texas A&M University, College Station, TX, United States.ORCID 0000-0002-1115-5265
Maximos ChinDepartment of Biology, Texas A&M University, College Station, TX, United States.
Brian E FontenotDepartment of Biology, University of Texas at Arlington, Arlington, TX, United States.
Sabyasachi MandalDepartment of Biology, Texas A&M University, College Station, TX, United States.ORCID 0000-0001-6093-3468
Thomas D McKnightDepartment of Biology, Texas A&M University, College Station, TX, United States.
Jeffery P DemuthDepartment of Biology, University of Texas at Arlington, Arlington, TX, United States.
Heath BlackmonDepartment of Biology, Texas A&M University, College Station, TX, United States.ORCID 0000-0002-5433-4036

Funding

Integrating theory, genomics, and comparative approaches to break barriers to the understanding of genome structure and sex chromosome evolution.R35GM138098 · NIGMS · TEXAS A&M UNIVERSITY · PI BLACKMON, HEATH · 2020 to 2024
$1.8M
NIGMS NIH HHS R35 GM138098NIH HHS R35GM138098
6 · The paper itself

Abstract

Much of evolutionary theory is predicated on assumptions about the relative importance of simple additive versus complex epistatic genetic architectures. Previous work suggests traits strongly associated with fitness will lack additive genetic variation, whereas traits less strongly associated with fitness are expected to exhibit more additive genetic variation. We use a quantitative genetics method, line cross analysis, to infer genetic architectures that contribute to trait divergence. By parsing over 1,600 datasets by trait type, clade, and cross divergence, we estimated the relative importance of epistasis across the tree of life. In our comparison between life-history traits and morphological traits, we found greater epistatic contributions to life-history traits. Our comparison between plants and animals showed that animals have more epistatic contribution to trait divergence than plants. In our comparison of within-species versus between-species crosses, we found that only animals exhibit a greater epistatic contribution to trait divergence as divergence increases. While many scientists have argued that epistasis is ultimately of little importance, our results show that epistasis underlies much of trait divergence and must be accounted for in theory and practical applications like domestication, conservation breeding design, and understanding complex diseases.

Indexed as

Epistasis, GeneticLife History TraitsAnimalsModels, GeneticPhenotypePlant BreedingPlantsepistasisgenetic architecturelife historyline cross analysis

Identifiers

PMID38241518
PMCPMC10964199

What OpenQuestion holds

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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.