Evidence map›Paper›PMID 23619145›Full record

ArticleMolecular biology and evolution2013

Population genomics and transcriptional consequences of regulatory motif variation in globally diverse Saccharomyces cerevisiae strains.

Caitlin F Connelly, Daniel A Skelly, Maitreya J Dunham, Joshua M Akey

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. The molecular basis of phenotypic variation in yeast.Current opinion in genetics & development · 2013
    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

4 authors.

Caitlin F ConnellyDepartment of Genome Sciences, University of Washington, USA.
Daniel A Skelly
Maitreya J Dunham
Joshua M Akey

Funding

TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
Heritable variation of mRNA decay rates: An unappreciated source of gene expressR01GM094810 · NIGMS · UNIVERSITY OF WASHINGTON · PI AKEY, JOSHUA MICHAEL · 2010 to 2013
$1.2M
The functional significance of non-coding variationR01GM098360 · NIGMS · UNIVERSITY OF WASHINGTON · PI AKEY, JOSHUA MICHAEL · 2011 to 2014
$1.2M
NIGMS NIH HHS P41 GM103533NIGMS NIH HHS R01 GM094810NIGMS NIH HHS R01GM094810NIGMS NIH HHS R01 GM098360NIGMS NIH HHS R01GM098360
6 · The paper itself

Abstract

Noncoding genetic variation is known to significantly influence gene expression levels in a growing number of specific cases; however, the patterns of genome-wide noncoding variation present within populations, the evolutionary forces acting on noncoding variants, and the relative effects of regulatory polymorphisms on transcript abundance are not well characterized. Here, we address these questions by analyzing patterns of regulatory variation in motifs for 177 DNA binding proteins in 37 strains of Saccharomyces cerevisiae. Between S. cerevisiae strains, we found considerable polymorphism in regulatory motifs across strains (mean π = 0.005) as well as diversity in regulatory motifs (mean 0.91 motifs differences per regulatory region). Population genetics analyses reveal that motifs are under purifying selection, and there is considerable heterogeneity in the magnitude of selection across different motifs. Finally, we obtained RNA-Seq data in 22 strains and identified 49 polymorphic DNA sequence motifs in 30 distinct genes that are significantly associated with transcriptional differences between strains. In 22 of these genes, there was a single polymorphic motif associated with expression in the upstream region. Our results provide comprehensive insights into the evolutionary trajectory of regulatory variation in yeast and the characteristics of a compendium of regulatory alleles.

Indexed as

Binding SitesDNA-Binding ProteinsEvolution, MolecularGene Expression Regulation, FungalGenetic VariationGenome, FungalMetagenomicsNucleotide MotifsPhylogenyPromoter Regions, GeneticRegulatory Sequences, Nucleic AcidSaccharomyces cerevisiaeTranscriptional ActivationDNA-Binding Proteinsadaptive evolutionevolutionregulatory variationyeast

Identifiers

PMID23619145
PMCPMC3684857

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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.