Evidence map›Paper›PMID 30327484›Full record

ArticleHeredity2019

Development of G: a test in an amphibious fish.

Joseph M Styga, Thomas M Houslay, Alastair J Wilson, Ryan L Earley

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Heredity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Evolutionary relationships between metabolism and behaviour require genetic correlations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Joseph M StygaDepartment of Biology, Culver-Stockton College, One College Hill, Canton, MO, 63435, USA. jstyga@culver.edu.ORCID http://orcid.org/0000-0003-4479-137X
Thomas M HouslayDepartment of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, UK.ORCID http://orcid.org/0000-0001-5592-9034
Alastair J WilsonCentre for Ecology and Conservation, University of Exeter-Penryn Campus, Cornwall, TR10 9FE, UK.
Ryan L EarleyDepartment of Biological Sciences, University of Alabama, 300 Hackberry Lane, Box 870344, Tuscaloosa, AL, 35487, USA.ORCID http://orcid.org/0000-0003-3046-3455
University of Alabama · USUniversity of Exeter · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heritable variation in, and genetic correlations among, traits determine the response of multivariate phenotypes to natural selection. However, as traits develop over ontogeny, patterns of genetic (co)variation and integration captured by the G matrix may also change. Despite this, few studies have investigated how genetic parameters underpinning multivariate phenotypes change as animals pass through major life history stages. Here, using a self-fertilizing hermaphroditic fish species, mangrove rivulus (Kryptolebias marmoratus), we test the hypothesis that G changes from hatching through reproductive maturation. We also test Cheverud's conjecture by asking whether phenotypic patterns provide an acceptable surrogate for patterns of genetic (co)variation within and across ontogenetic stages. For a set of morphological traits linked to locomotor (jumping) performance, we find that the overall level of genetic integration (as measured by the mean-squared correlation across all traits) does not change significantly over ontogeny. However, we also find evidence that some trait-specific genetic variances and pairwise genetic correlations do change. Ontogenetic changes in G indicate the presence of genetic variance for developmental processes themselves, while also suggesting that any genetic constraints on morphological evolution may be age-dependent. Phenotypic correlations closely resembled genetic correlations at each stage in ontogeny. Thus, our results are consistent with the premise that-at least under common environment conditions-phenotypic correlations can be a good substitute for genetic correlations in studies of multivariate developmental evolution.

Indexed as

Models, GeneticAnimalsBiological EvolutionCyprinodontiformesGene-Environment InteractionGenetic VariationHermaphroditic OrganismsMorphogenesisPhenotypeQuantitative Trait, Heritable

Identifiers

PMID30327484
PMCPMC6461753
OpenAlexW2897099452

What OpenQuestion holds

Textmetadata
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.