Evidence map›Paper›PMID 31152141›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

A major role for noncoding regulatory mutations in the evolution of enzyme activity.

David W Loehlin, Jesse R Ames, Kathy Vaccaro, Sean B Carroll

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  10. The origin and diversification of a novel protein family in venomous snakes.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  11. Fitness effects but no temperature-mediated balancing selection at the polymorphicProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  12. 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

4 authors at 2 institutions in 1 country.

David W LoehlinBiology Department, Williams College, Williamstown, MA 01267; dwl1@williams.edu carrolls@hhmi.org.
Jesse R AmesBiology Department, Williams College, Williamstown, MA 01267.
Kathy VaccaroHoward Hughes Medical Institute, University of Wisconsin-Madison, Madison, WI 53705.
Sean B CarrollHoward Hughes Medical Institute, University of Wisconsin-Madison, Madison, WI 53705; dwl1@williams.edu carrolls@hhmi.org.ORCID 0000-0002-7839-5458
Howard Hughes Medical Institute · USWilliams College · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

The quantitative evolution of protein activity is a common phenomenon, yet we know little about any general mechanistic tendencies that underlie it. For example, an increase (or decrease) in enzyme activity may evolve from changes in protein sequence that alter specific activity, or from changes in gene expression that alter the amount of protein produced. The latter in turn could arise via mutations that affect gene transcription, posttranscriptional processes, or copy number. Here, to determine the types of genetic changes underlying the quantitative evolution of protein activity, we dissected the basis of ecologically relevant differences in

Indexed as

Biological EvolutionMutationAlcohol DehydrogenaseAmino Acid SubstitutionAnimalsDrosophilaModels, BiologicalSpecies SpecificityAlcohol Dehydrogenasealcohol dehydrogenaseDrosophilaenzymeevolutionregulatory

Identifiers

PMID31152141
PMCPMC6589674
OpenAlexW2947492356

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.