Evidence map›Paper›PMID 28790414›Full record

ArticleScientific reports2017

Modelling the evolution of transcription factor binding preferences in complex eukaryotes.

Antonio Rosanova, Alberto Colliva, Matteo Osella, Michele Caselle

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

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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 1 country.

Antonio RosanovaDepartment of Physics and INFN, Università degli Studi di Torino, via P.Giuria 1, I-10125, Turin, Italy. antonio.rosanova@unito.it.
Alberto CollivaDepartment of Physics and INFN, Università degli Studi di Torino, via P.Giuria 1, I-10125, Turin, Italy.
Matteo OsellaDepartment of Physics and INFN, Università degli Studi di Torino, via P.Giuria 1, I-10125, Turin, Italy.
Michele CaselleDepartment of Physics and INFN, Università degli Studi di Torino, via P.Giuria 1, I-10125, Turin, Italy.
University of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription factors (TFs) exert their regulatory action by binding to DNA with specific sequence preferences. However, different TFs can partially share their binding sequences due to their common evolutionary origin. This "redundancy" of binding defines a way of organizing TFs in "motif families" by grouping TFs with similar binding preferences. Since these ultimately define the TF target genes, the motif family organization entails information about the structure of transcriptional regulation as it has been shaped by evolution. Focusing on the human TF repertoire, we show that a one-parameter evolutionary model of the Birth-Death-Innovation type can explain the TF empirical repartition in motif families, and allows to highlight the relevant evolutionary forces at the origin of this organization. Moreover, the model allows to pinpoint few deviations from the neutral scenario it assumes: three over-expanded families (including HOX and FOX genes), a set of "singleton" TFs for which duplication seems to be selected against, and a higher-than-average rate of diversification of the binding preferences of TFs with a Zinc Finger DNA binding domain. Finally, a comparison of the TF motif family organization in different eukaryotic species suggests an increase of redundancy of binding with organism complexity.

Indexed as

Evolution, MolecularGene Expression RegulationModels, GeneticAnimalsBinding SitesCaenorhabditis elegansDatabases, GeneticDNADrosophila melanogasterGene OntologyHumansMiceMolecular Sequence AnnotationNucleotide MotifsProtein BindingSaccharomyces cerevisiaeDNATranscription Factors

Identifiers

PMID28790414
PMCPMC5548724
OpenAlexW2740048744

What OpenQuestion 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 OpenQuestion graph.