Evidence map›Paper›PMID 37004721›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2023

Mutational scans reveal differential evolvability of

Xueying C Li, Timothy Fuqua, Maria Elize van Breugel, Justin Crocker

Open access · hybridAbstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Interdisciplinary approaches to predicting evolutionary biology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  4. Mutational scans reveal differential evolvability ofPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  5. 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 1 institution in 2 countries.

Xueying C LiEuropean Molecular Biology Laboratory, Heidelberg, Baden-Württemberg 69117, Germany.ORCID 0000-0002-1100-4694
Timothy FuquaEuropean Molecular Biology Laboratory, Heidelberg, Baden-Württemberg 69117, Germany.ORCID 0000-0003-4005-3329
Maria Elize van BreugelEuropean Molecular Biology Laboratory, Heidelberg, Baden-Württemberg 69117, Germany.ORCID 0000-0001-8442-6516
Justin CrockerEuropean Molecular Biology Laboratory, Heidelberg, Baden-Württemberg 69117, Germany.ORCID 0000-0002-5113-0476
European Molecular Biology Laboratory · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid enhancer and slow promoter evolution have been demonstrated through comparative genomics. However, it is not clear how this information is encoded genetically and if this can be used to place evolution in a predictive context. Part of the challenge is that our understanding of the potential for regulatory evolution is biased primarily toward natural variation or limited experimental perturbations. Here, to explore the evolutionary capacity of promoter variation, we surveyed an unbiased mutation library for three promoters in

Indexed as

DrosophilaDrosophila ProteinsAnimalsDrosophila melanogasterEnhancer Elements, GeneticGene Expression Regulation, DevelopmentalMutationTranscription FactorsDrosophila ProteinsTranscription Factorscis-regulatory evolutionDrosophilaenhancerpromotershavenbabytranscription

Identifiers

PMID37004721
PMCPMC10067265
OpenAlexW4362508872

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.