Evidence map›Paper›PMID 36774380›Full record

ArticleNature communications2023

Transcription factor binding sites are frequently under accelerated evolution in primates.

Xinru Zhang, Bohao Fang, Yi-Fei Huang

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Machine learning reveals sequence and genomic context features underlyingbioRxiv : the preprint server for biology · 2026
    Article
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  4. Review
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  6. Emergence of activation or repression in transcriptional control under a fixed molecular context.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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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

3 authors at 2 institutions in 1 country.

Xinru ZhangDepartment of Biology, Pennsylvania State University, University Park, PA, 16802, USA. xmz5176@psu.edu.ORCID 0000-0002-0633-2888
Bohao FangDepartment of Organismic and Evolutionary Biology and the Museum of Comparative Zoology, Harvard University, Boston, MA, 02135, USA.ORCID 0000-0001-5283-067X
Yi-Fei HuangDepartment of Biology, Pennsylvania State University, University Park, PA, 16802, USA. yuh371@psu.edu.ORCID 0000-0001-5594-6731
Pennsylvania State University · USHarvard University · US

Funding

Evolution-guided machine learning for inferring natural selectionR35GM142560 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI HUANG, YIFEI · 2021 to 2023
$746k
NIGMS NIH HHS R35 GM142560
6 · The paper itself

Abstract

Recent comparative genomic studies have identified many human accelerated elements (HARs) with elevated substitution rates in the human lineage. However, it remains unknown to what extent transcription factor binding sites (TFBSs) are under accelerated evolution in humans and other primates. Here, we introduce two pooling-based phylogenetic methods with dramatically enhanced sensitivity to examine accelerated evolution in TFBSs. Using these new methods, we show that more than 6000 TFBSs annotated in the human genome have experienced accelerated evolution in Hominini, apes, and Old World monkeys. Although these TFBSs individually show relatively weak signals of accelerated evolution, they collectively are more abundant than HARs. Also, we show that accelerated evolution in Pol III binding sites may be driven by lineage-specific positive selection, whereas accelerated evolution in other TFBSs might be driven by nonadaptive evolutionary forces. Finally, the accelerated TFBSs are enriched around developmental genes, suggesting that accelerated evolution in TFBSs may drive the divergence of developmental processes between primates.

Indexed as

Transcription FactorsAnimalsBinding SitesEvolution, MolecularHumansPhylogenyPrimatesProtein BindingTranscription Factors

Identifiers

PMID36774380
PMCPMC9922303
OpenAlexW4320033528

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.