Evidence map›Paper›PMID 35073436›Full record

ArticleJournal of evolutionary biology2022

Evolution of static allometry and constraint on evolutionary allometry in a fossil stickleback.

Kjetil L Voje, Michael A Bell, Yoel E Stuart

Abstract read
In one paragraph

Article in Journal of evolutionary biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

3 authors.

Kjetil L VojeNatural History Museum, University of Oslo, Oslo, Norway.ORCID 0000-0003-2556-3080
Michael A BellUniversity of California Museum of Paleontology, Berkeley, California, USA.ORCID 0000-0002-6861-5787
Yoel E StuartDepartment of Biology, Loyola University Chicago, Chicago, Illinois, USA.ORCID 0000-0003-1235-6277

Funding

Dynamics of Contemporary Genomic Evolution in Replicate Threespine Stickleback PopulationsR01GM124330 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI VEERAMAH, KRISHNA R · 2017 to 2021
$1.6M
European Research Council 948465NIGMS NIH HHS R01 GM124330
6 · The paper itself

Abstract

Allometric scaling describes the relationship of trait size to body size within and among taxa. The slope of the population-level regression of trait size against body size (i.e. static allometry) is typically invariant among closely related populations and species. Such invariance is commonly interpreted to reflect a combination of developmental and selective constraints that delimit a phenotypic space into which evolution could proceed most easily. Thus, understanding how allometric relationships do eventually evolve is important to understanding phenotypic diversification. In a lineage of fossil Threespine Stickleback (Gasterosteus doryssus), we investigated the evolvability of static allometric slopes for nine traits (five armour and four non-armour) that evolved significant trait differences across 10 samples over 8500 years. The armour traits showed weak static allometric relationships and a mismatch between those slopes and observed evolution. This suggests that observed evolution in these traits was not constrained by relationships with body size, perhaps because prior, repeated adaptation to freshwater habitats by Threespine Stickleback had generated strong selection to break constraint. In contrast, for non-armour traits, we found stronger allometric relationships. Those allometric slopes did evolve on short time scales. However, those changes were small and fluctuating and the slopes remained strong predictors of the evolutionary trajectory of trait means over time (i.e. evolutionary allometry), supporting the hypothesis of allometry as constraint.

Indexed as

FossilsSmegmamorphaAnimalsBiological EvolutionBody SizePhenotypeconstraintcovarianceevolutionary allometryGasterosteusneontologypaleobiologyselection

Identifiers

PMID35073436
PMCPMC9303703

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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.