Evidence map›Paper›PMID 20966117›Full record

ArticleMolecular biology and evolution2012

Transcriptional network structure has little effect on the rate of regulatory evolution in yeast.

Artyom Kopp, Lauren M McIntyre

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

2 authors.

Artyom KoppDepartment of Evolution and Ecology, University of California, Davis, CA, USA. akopp@ucdavis.edu
Lauren M McIntyre

Funding

UF Clinical and Translational Science AwardUL1TR000064 · NCATS · UNIVERSITY OF FLORIDA · PI NELSON, DAVID R · 2012 to 2014
$12.2M
Genetic and Developmental Mechanisms of Evolutionary InnovationsR01GM082843 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KOPP, ARTYOM · 2009 to 2012
$1.2M
NCATS NIH HHS UL1 TR000064NIGMS NIH HHS 5-R01-GM-082843NIGMS NIH HHS R01 GM082843
6 · The paper itself

Abstract

Studies in evolutionary developmental biology suggest that the structure of genetic pathways may bias the fixation of natural variation toward particular nodes in these pathways. In an attempt to test this trend genome wide, we integrated several previously published data sets to examine whether the position of genes in the whole-genome transcriptional network of Saccharomyces cerevisiae is associated with the amount of cis-regulatory expression divergence between S. cerevisiae and its sibling species Saccharomyces paradoxus. We find little evidence for an association between connectivity and divergence in the global network that combines data from multiple conditions. However, relationships between connectivity and divergence are apparent in some of the smaller subnetworks. Despite a slight tendency for genes with more transcriptional interactions to show greater divergence, these differences explain no more than a small fraction of variation in evolutionary rates. These results suggest that the systems biology focus on large interactomes may miss some critical details of local interactions. More detailed experimental analysis will be needed to define the genetic pathways that control specific phenotypic traits and quantify the rate of regulatory changes at different points in these pathways.

Indexed as

Evolution, MolecularGene Expression Regulation, FungalGene Regulatory NetworksGenome, FungalSaccharomycesStress, Physiological

Identifiers

PMID20966117
PMCPMC3408065

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.