Evidence map›Paper›PMID 29850830›Full record

ArticleMolecular biology and evolution2018

Analysis of Genetic Variation Indicates DNA Shape Involvement in Purifying Selection.

Xiaofei Wang, Tianyin Zhou, Zeba Wunderlich, Matthew T Maurano, Angela H DePace, Sergey V Nuzhdin, Remo Rohs

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Molecular biology and evolution, 2018. 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
1.1field-weighted citation impact, top 23% 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, 18 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

7 authors at 4 institutions in 1 country.

Xiaofei WangMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA.
Tianyin ZhouMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA.
Zeba WunderlichDepartment of Developmental and Cell Biology, University of California Irvine, Irvine, CA.
Matthew T MauranoInstitute for Systems Genetics, New York University Medical Center, New York, NY.
Angela H DePaceDepartment of Systems Biology, Harvard Medical School, Boston, MA.
Sergey V NuzhdinMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA.
Remo RohsMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA.
University of Southern California · USColumbia University Irving Medical Center · USHarvard University · USUniversity of California, Irvine · US

Funding

Multi-scale modeling of genetic variation in a developmental networkU01GM103804 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DEPACE, ANGELA H, MARJORAM, PAUL · 2013 to 2016
$2.0M
Genome analysis based on the integration of DNA sequence and shapeR01GM106056 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROHS, REMO · 2014 to 2017
$1.3M
Dissecting expression divergence in developmental networks across DrosophilidsR00HD073191 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI WUNDERLICH, ZEBA B · 2015 to 2017
$745k
Dissecting expression divergence in developmental networks across DrosophilidsK99HD073191 · NICHD · HARVARD MEDICAL SCHOOL · PI WUNDERLICH, ZEBA B · 2012 to 2013
$258k
NICHD NIH HHS K99 HD073191NICHD NIH HHS R00 HD073191NIGMS NIH HHS R01 GM106056NIGMS NIH HHS U01 GM103804
6 · The paper itself

Abstract

Noncoding DNA sequences, which play various roles in gene expression and regulation, are under evolutionary pressure. Gene regulation requires specific protein-DNA binding events, and our previous studies showed that both DNA sequence and shape readout are employed by transcription factors (TFs) to achieve DNA binding specificity. By investigating the shape-disrupting properties of single nucleotide polymorphisms (SNPs) in human regulatory regions, we established a link between disruptive local DNA shape changes and loss of specific TF binding. Furthermore, we described cases where disease-associated SNPs may alter TF binding through DNA shape changes. This link led us to hypothesize that local DNA shape within and around TF binding sites is under selection pressure. To verify this hypothesis, we analyzed SNP data derived from 216 natural strains of Drosophila melanogaster. Comparing SNPs located in functional and nonfunctional regions within experimentally validated cis-regulatory modules (CRMs) from D. melanogaster that are active in the blastoderm stage of development, we found that SNPs within functional regions tended to cause smaller DNA shape variations. Furthermore, SNPs with higher minor allele frequency were more likely to result in smaller DNA shape variations. The same analysis based on a large number of SNPs in putative CRMs of the D. melanogaster genome derived from DNase I accessibility data confirmed these observations. Taken together, our results indicate that common SNPs in functional regions tend to maintain DNA shape, whereas shape-disrupting SNPs are more likely to be eliminated through purifying selection.

Indexed as

DNANucleic Acid ConformationPolymorphism, Single NucleotideSelection, GeneticAnimalsBinding SitesDrosophila melanogasterGene FrequencyGenome, InsectHumansTranscription FactorsDNATranscription Factors

Identifiers

PMID29850830
PMCPMC6063282
OpenAlexW2807228729

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.