Evidence map›Paper›PMID 38712167›Full record

ArticlebioRxiv : the preprint server for biology2024

The protein domains of vertebrate species in which selection is more effective have greater intrinsic structural disorder.

Catherine A Weibel, Andrew L Wheeler, Jennifer E James, Sara M Willis, Hanon McShea, Joanna Masel

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

6 authors.

Catherine A WeibelDepartment of Mathematics, University of Arizona, Tucson, Arizona 85721, USA.ORCID 0000-0003-1837-5209
Andrew L WheelerGenetics Graduate Interdisciplinary Program, University of Arizona, Tucson, Arizona 85721, USA.ORCID 0000-0002-5347-5419
Jennifer E JamesDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721, USA.ORCID 0000-0003-0518-6783
Sara M WillisDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721, USA.ORCID 0000-0002-1605-6426
Hanon McSheaDepartment of Earth System Science, Stanford University.ORCID 0000-0002-9341-4899
Joanna MaselDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721, USA.ORCID 0000-0002-7398-2127

Funding

Computational and Mathematical Modeling of Biomedical SystemsT32GM132008 · NIGMS · UNIVERSITY OF ARIZONA · PI Ryan Gutenkunst, JOANNA MASEL · 2019 to 2026
$2.3M
THE CONVERSION OF NONCODING SEQUENCES INTO PROTEINSR01GM104040 · NIGMS · UNIVERSITY OF ARIZONA · PI CORDES, MATTHEW HJ, MASEL, JOANNA · 2013 to 2016
$839k
NIGMS NIH HHS R01 GM104040NIGMS NIH HHS T32 GM132008
6 · The paper itself

Abstract

The nearly neutral theory of molecular evolution posits variation among species in the effectiveness of selection. In an idealized model, the census population size determines both this minimum magnitude of the selection coefficient required for deleterious variants to be reliably purged, and the amount of neutral diversity. Empirically, an "effective population size" is often estimated from the amount of putatively neutral genetic diversity and is assumed to also capture a species' effectiveness of selection. A potentially more direct measure of the effectiveness of selection is the degree to which selection maintains preferred codons. However, past metrics that compare codon bias across species are confounded by among-species variation in %GC content and/or amino acid composition. Here we propose a new Codon Adaptation Index of Species (CAIS), based on Kullback-Leibler divergence, that corrects for both confounders. We demonstrate the use of CAIS correlations, as well as the Effective Number of Codons, to show that the protein domains of more highly adapted vertebrate species evolve higher intrinsic structural disorder.

Identifiers

PMID38712167
PMCPMC11071303

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LicenceCC BY-NC
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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.