Evidence map›Paper›PMID 38113257›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Drift on holey landscapes as a dominant evolutionary process.

Ned A Dochtermann, Brady Klock, Derek A Roff, Raphaël Royauté

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ned A DochtermannDepartment of Biological Sciences, North Dakota State University, Fargo, ND 58108.ORCID 0000-0002-8370-4614
Brady KlockDepartment of Biological Sciences, North Dakota State University, Fargo, ND 58108.
Derek A RoffDepartment of Biology, University of California, Riverside, CA 92521.ORCID 0000-0002-9337-7303
Raphaël RoyautéUniversité Paris-Saclay, French National Research Institute for Agriculture, Food, and Environment, AgroParisTech, UMR EcoSys, Palaiseau 91120, France.ORCID 0000-0002-5837-633X

Funding

National Science Foundation (NSF) 1557951
6 · The paper itself

Abstract

An organism's phenotype has been shaped by evolution but the specific processes have to be indirectly inferred for most species. For example, correlations among traits imply the historical action of correlated selection and, more generally, the expression and distribution of traits is expected to be reflective of the adaptive landscapes that have shaped a population. However, our expectations about how quantitative traits-like most behaviors, physiological processes, and life-history traits-should be distributed under different evolutionary processes are not clear. Here, we show that genetic variation in quantitative traits is not distributed as would be expected under dominant evolutionary models. Instead, we found that genetic variation in quantitative traits across six phyla and 60 species (including both Plantae and Animalia) is consistent with evolution across high-dimensional "holey landscapes." This suggests that the leading conceptualizations and modeling of the evolution of trait integration fail to capture how phenotypes are shaped and that traits are integrated in a manner contrary to predictions of dominant evolutionary theory. Our results demonstrate that our understanding of how evolution has shaped phenotypes remains incomplete and these results provide a starting point for reassessing the relevance of existing evolutionary models.

Indexed as

Biological EvolutionLife History TraitsPhenotypeSelection, Geneticevolutionary constraintsfitness landscapesG matrix

Identifiers

PMID38113257
PMCPMC10756301

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Registered trials

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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 OpenQuestion graph.