Evidence map›Paper›PMID 36750194›Full record

ArticleProceedings. Biological sciences2023

The geometry of evolutionary conflict.

Petri Rautiala, Andy Gardner

Open access · hybridAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Brinkmanship in intragenomic conflict.Proceedings. Biological sciences · 2025
    Article
  2. Fisher's Geometric Model as a Tool to Study Speciation.Cold Spring Harbor perspectives in biology · 2024
    Review
  3. Conflict and conflict resolution in the major transitions.Proceedings. Biological sciences · 2023
    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

2 authors at 1 institution in 1 country.

Petri RautialaSchool of Biology, University of St Andrews, Greenside Place, St Andrews KY16 9TH, UK.ORCID 0000-0002-4719-1137
Andy GardnerSchool of Biology, University of St Andrews, Greenside Place, St Andrews KY16 9TH, UK.ORCID 0000-0002-1304-3734
University of St Andrews · GB

Funding

European Research Council 771387
6 · The paper itself

Abstract

Conflicts of interest abound not only in human affairs but also in the biological realm. Evolutionary conflict occurs over multiple scales of biological organization, from genetic outlawry within genomes, to sibling rivalry within nuclear families, to collective-action disputes within societies. However, achieving a general understanding of the dynamics and consequences of evolutionary conflict remains an outstanding challenge. Here, we show that a development of R. A. Fisher's classic 'geometric model' of adaptation yields novel and surprising insights into the dynamics of evolutionary conflict and resulting maladaptation, including the discoveries that: (i) conflict can drive evolving traits arbitrarily far away from all parties' optima and, indeed, if all mutations are equally likely then contested traits are more often than not driven outwith the zone of actual conflict (hyper-maladaptation); (ii) evolutionary conflicts drive persistent maladaptation of orthogonal, non-contested traits (para-maladaptation); and (iii) modular design greatly ameliorates conflict-driven maladaptation, thereby facilitating major transitions in individuality.

Indexed as

Adaptation, PhysiologicalBiological EvolutionAcclimatizationGenomeHumansMutationconflictcost of complexityFisher's geometric modelmajor transitionsmaladaptationmodularity

Identifiers

PMID36750194
PMCPMC9904945
OpenAlexW4319336552

What Socratic holds

Textmetadata
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 Socratic graph.