Evidence map›Paper›PMID 34740240›Full record

ArticleGenetics2021

Differences in evolutionary accessibility determine which equally effective regulatory motif evolves to generate pulses.

Kun Xiong, Mark Gerstein, Joanna Masel

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Mutation bias shapes the spectrum of adaptive substitutions.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

3 authors at 2 institutions in 1 country.

Kun XiongDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721, USA.ORCID 0000-0003-1431-6586
Mark GersteinDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA.ORCID 0000-0002-9746-3719
Joanna MaselDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson,AZ 85721, USA.ORCID 0000-0002-7398-2127
University of Arizona · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptional regulatory networks (TRNs) are enriched for certain "motifs." Motif usage is commonly interpreted in adaptationist terms, i.e., that the optimal motif evolves. But certain motifs can also evolve more easily than others. Here, we computationally evolved TRNs to produce a pulse of an effector protein. Two well-known motifs, type 1 incoherent feed-forward loops (I1FFLs) and negative feedback loops (NFBLs), evolved as the primary solutions. The relative rates at which these two motifs evolve depend on selection conditions, but under all conditions, either motif achieves similar performance. I1FFLs generally evolve more often than NFBLs. Selection for a tall pulse favors NFBLs, while selection for a fast response favors I1FFLs. I1FFLs are more evolutionarily accessible early on, before the effector protein evolves high expression; when NFBLs subsequently evolve, they tend to do so from a conjugated I1FFL-NFBL genotype. In the empirical S. cerevisiae TRN, output genes of NFBLs had higher expression levels than those of I1FFLs. These results suggest that evolutionary accessibility, and not relative functionality, shapes which motifs evolve in TRNs, and does so as a function of the expression levels of particular genes.

Indexed as

Gene Expression Regulation, FungalGene Regulatory NetworksModels, GeneticTranscriptional ActivationRepressor ProteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTrans-ActivatorsTranscription Initiation, GeneticRepressor ProteinsSaccharomyces cerevisiae ProteinsTrans-Activatorsadaptationismgene regulatory networkmutation-biased adaptationpulse generationtranscriptional regulation

Identifiers

PMID34740240
PMCPMC8570775
OpenAlexW3197200418

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.