Evidence map›Paper›PMID 33726595›Full record

ArticleProceedings. Biological sciences2021

Genetic mechanisms and correlational selection structure trait variation in a coral snake mimic.

John David Curlis, Alison R Davis Rabosky, Iris A Holmes, Timothy J Renney, Christian L Cox

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

John David CurlisDepartment of Biology, Georgia Southern University, Statesboro, GA, USA.
Alison R Davis RaboskyDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA.
Iris A HolmesDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA.
Timothy J RenneyDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA.
Christian L CoxDepartment of Biology, Georgia Southern University, Statesboro, GA, USA.

Funding

Host-Microbe Interactions that Determine Host Traits and DiseaseT32AI145821 · NIAID · CORNELL UNIVERSITY · PI LAZZARO, BRIAN · 2020 to 2024
$1.9M
NIAID NIH HHS T32 AI145821
6 · The paper itself

Abstract

Covariation among traits shapes both phenotypic evolution and ecological interactions across space and time. However, rampant geographical variation in the strength and direction of such correlations can be particularly difficult to explain through generalized mechanisms. By integrating population genomics, surveys of natural history collections and spatially explicit analyses, we tested multiple drivers of trait correlations in a coral snake mimic that exhibits remarkable polymorphism in mimetic and non-mimetic colour traits. We found that although such traits co-occur extensively across space, correlations were best explained by a mixture of genetic architecture and correlational selection, rather than by any single mechanism. Our findings suggest that spatially complex trait distributions may be driven more by the simple interaction between multiple processes than by complex variation in one mechanism alone. These interactions are particularly important in mimicry systems, which frequently generate striking geographical variation and genetic correlations among colour pattern traits.

Indexed as

Coral SnakesAnimalsGenetic VariationPhenotypePolymorphism, GeneticSelection, Geneticcolour polymorphismground snakesmimicrypopulation genomicsSonoratrait correlations

Identifiers

PMID33726595
PMCPMC8059570

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.