Evidence map›Paper›PMID 28333240›Full record

ArticleMolecular biology and evolution2017

Structure of the Transcriptional Regulatory Network Correlates with Regulatory Divergence in Drosophila.

Bing Yang, Patricia J Wittkopp

Open access · bronzeAbstract read
In one paragraph

Article in Molecular biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Quantitative omnigenic model discovers interpretable genome-wide associations.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  18. The rewiring of transcription circuits in evolution.Current opinion in genetics & development · 2017
    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

2 authors at 1 institution in 1 country.

Bing YangDepartment of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI.
Patricia J WittkoppDepartment of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI.
University of Michigan–Ann Arbor · US

Funding

Genetic mechanisms and evolutionary processes underlying diversity within and between speciesR35GM118073 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WITTKOPP, PATRICIA JEAN · 2016 to 2025
$4.1M
NIGMS NIH HHS R35 GM118073
6 · The paper itself

Abstract

Transcriptional control of gene expression is regulated by biochemical interactions between cis-regulatory DNA sequences and trans-acting factors that form complex regulatory networks. Genetic changes affecting both cis- and trans-acting sequences in these networks have been shown to alter patterns of gene expression as well as higher-order organismal phenotypes. Here, we investigate how the structure of these regulatory networks relates to patterns of polymorphism and divergence in gene expression. To do this, we compared a transcriptional regulatory network inferred for Drosophila melanogaster to differences in gene regulation observed between two strains of D. melanogaster as well as between two pairs of closely related species: Drosophila sechellia and Drosophila simulans, and D. simulans and D. melanogaster. We found that the number of transcription factors predicted to directly regulate a gene ("in-degree") was negatively correlated with divergence in both gene expression (mRNA abundance) and cis-regulation. This observation suggests that the number of transcription factors directly regulating a gene's expression affects the conservation of cis-regulation and gene expression over evolutionary time. We also tested the hypothesis that transcription factors regulating more target genes (higher "out-degree") are less likely to evolve changes in their cis-regulation and expression (presumably due to increased pleiotropy), but found little support for this predicted relationship. Taken together, these data show how the architecture of regulatory networks can influence regulatory evolution.

Indexed as

AnimalsBiological EvolutionDrosophilaDrosophila ProteinsEvolution, MolecularGene Expression RegulationGene Regulatory NetworksGenes, InsectGenetic Association StudiesGenotypePhenotypeRNA, MessengerSpecies SpecificityTranscription FactorsDrosophila ProteinsRNA, MessengerTranscription Factorscis-regulationevolutiongene expressionin-degreeout-degreeregulatory networktranscription factor

Identifiers

PMID28333240
PMCPMC5435113
OpenAlexW2589502865

What OpenQuestion holds

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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.