Evidence map›Paper›PMID 36991330›Full record

ArticleBMC molecular and cell biology2023

Evolutionary relevance of single nucleotide variants within the forebrain exclusive human accelerated enhancer regions.

Hizran Khatoon, Rabail Zehra Raza, Shoaib Saleem, Fatima Batool, Saba Arshad, Muhammad Abrar, Shahid Ali, Irfan Hussain, Neil H Shubin, Amir Ali Abbasi

Open access · goldAbstract read
In one paragraph

Article in BMC molecular and cell biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

10 authors at 3 institutions in 2 countries.

Hizran KhatoonNational Center for Bioinformatics, Program of Comparative and Evolutionary Genomics, Faculty of Biological Sciences, Quaid-I-Azam University, Islamabad, 45320, Pakistan.
Rabail Zehra RazaDepartment of Biological Sciences, National University of Medical Sciences, Rawalpindi, 46000, Pakistan.
Shoaib SaleemNational Center for Bioinformatics, Program of Comparative and Evolutionary Genomics, Faculty of Biological Sciences, Quaid-I-Azam University, Islamabad, 45320, Pakistan.
Fatima BatoolNational Center for Bioinformatics, Program of Comparative and Evolutionary Genomics, Faculty of Biological Sciences, Quaid-I-Azam University, Islamabad, 45320, Pakistan.
Saba ArshadNational Center for Bioinformatics, Program of Comparative and Evolutionary Genomics, Faculty of Biological Sciences, Quaid-I-Azam University, Islamabad, 45320, Pakistan.
Muhammad AbrarNational Center for Bioinformatics, Program of Comparative and Evolutionary Genomics, Faculty of Biological Sciences, Quaid-I-Azam University, Islamabad, 45320, Pakistan.
Shahid AliDepartment of Organismal Biology and Anatomy, The University of Chicago, Chicago, IL, USA.
Irfan HussainNational Center for Bioinformatics, Program of Comparative and Evolutionary Genomics, Faculty of Biological Sciences, Quaid-I-Azam University, Islamabad, 45320, Pakistan.
Neil H ShubinDepartment of Organismal Biology and Anatomy, The University of Chicago, Chicago, IL, USA. nshubin@uchicago.edu.
Amir Ali AbbasiNational Center for Bioinformatics, Program of Comparative and Evolutionary Genomics, Faculty of Biological Sciences, Quaid-I-Azam University, Islamabad, 45320, Pakistan. abbasiam@qau.edu.pk.ORCID http://orcid.org/0000-0003-4556-8129
Quaid-i-Azam University · PKUniversity of Chicago · USNational University of Medical Sciences · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman accelerated regions (HARs) are short conserved genomic sequences that have acquired significantly more nucleotide substitutions than expected in the human lineage after divergence from chimpanzees. The fast evolution of HARs may reflect their roles in the origin of human-specific traits. A recent study has reported positively-selected single nucleotide variants (SNVs) within brain-exclusive human accelerated enhancers (BE-HAEs) hs1210 (forebrain), hs563 (hindbrain) and hs304 (midbrain/forebrain). By including data from archaic hominins, these SNVs were shown to be Homo sapiens-specific, residing within transcriptional factors binding sites (TFBSs) for SOX2 (hs1210), RUNX1/3 (hs563), and FOS/JUND (hs304). Although these findings suggest that the predicted modifications in TFBSs may have some role in present-day brain structure, work is required to verify the extent to which these changes translate into functional variation.

resultsTo start to fill this gap, we investigate the SOX2 SNV, with both forebrain expression and strong signal of positive selection in humans. We demonstrate that the HMG box of SOX2 binds in vitro with Homo sapiens-specific derived A-allele and ancestral T-allele carrying DNA sites in BE-HAE hs1210. Molecular docking and simulation analysis indicated highly favourable binding of HMG box with derived A-allele containing DNA site when compared to site carrying ancestral T-allele.

conclusionThese results suggest that adoptive changes in TF affinity within BE-HAE hs1210 and other HAR enhancers in the evolutionary history of Homo sapiens might. have brought about changes in gene expression patterns and have functional consequences on forebrain formation and evolution.

methodsThe present study employ electrophoretic mobility shift assays (EMSA) and molecular docking and molecular dynamics simulations approaches.

Indexed as

ProsencephalonRegulatory Sequences, Nucleic AcidDNAHumansMolecular Docking SimulationNucleotidesDNANucleotidesArchaic homininsEMSAEnhancersEvolutionForebrainHMG boxHuman accelerated regionsSNVsSOX2TFBS

Identifiers

PMID36991330
PMCPMC10053400
OpenAlexW4361199599

What OpenQuestion holds

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Registered trials

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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.