Evidence map›Paper›PMID 42239258›Full record

ArticlebioRxiv : the preprint server for biology2026

Evolutionary rate correlations reveal long-term co-evolutionary interactions in

Andrius J Dagilis, Selina Lee, Bonnie DiAngelis, Daniel R Matute

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

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

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.

Andrius J DagilisDepartment of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA.ORCID 0000-0003-2013-0825
Selina LeeDepartment of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA.
Bonnie DiAngelisDepartment of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA.
Daniel R MatuteDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

Drivers and consequences of introgression in evolutionR35GM148244 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Daniel Matute · 2023 to 2026
$2.2M
NIGMS NIH HHS R35 GM148244
6 · The paper itself

Abstract

Co-evolution between genes can occur for a variety of reasons, including co-expression of genes, epistatic interactions between them, physical interactions of gene products and many others. Co-evolutionary partners of a gene are therefore of great interest in identifying potential factors that contribute to any phenotype of interest. State-of-the-art approaches to detect these interactions use correlations of evolutionary rates across a broader phylogeny, and so by necessity identify interactions only among genes that are present across long evolutionary time periods. This makes the methods unwieldy when interest lies in a single focal organism in which the genes of interest may have evolved in the recent evolutionary past. Here, we present a new approach to calculating evolutionary rate correlations which focuses on extracting maximum coverage for a single focal species, while retaining signals of co-evolution across large clades. We show how this approach is able to identify potential interactions even in highly studied species and highly studied genes, with a focus on the

Identifiers

PMID42239258
PMCPMC13228556

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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.