Evidence map›Paper›PMID 22438828›Full record

ArticlePLoS genetics2012

Promoter nucleosome organization shapes the evolution of gene expression.

Dalia Rosin, Gil Hornung, Itay Tirosh, Ariel Gispan, Naama Barkai

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 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
1.1field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 16 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

5 authors at 2 institutions in 2 countries.

Dalia RosinDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.
Gil Hornung
Itay Tirosh
Ariel Gispan
Naama Barkai
Weizmann Institute of Science · ILUniversity of California, San Francisco · US

Funding

THEORETICAL ANALYSIS OF FUNCTIONAL MODULESP50GM068763 · NIGMS · HARVARD UNIVERSITY · PI BENENSON, YAAKOV · 2003 to 2012
$28.9M
NIGMS NIH HHS P50 GM068763NIGMS NIH HHS P50GM068763
6 · The paper itself

Abstract

Understanding why genes evolve at different rates is fundamental to evolutionary thinking. In species of the budding yeast, the rate at which genes diverge in expression correlates with the organization of their promoter nucleosomes: genes lacking a nucleosome-free region (denoted OPN for "Occupied Proximal Nucleosomes") vary widely between the species, while the expression of those containing NFR (denoted DPN for "Depleted Proximal Nucleosomes") remains largely conserved. To examine if early evolutionary dynamics contributes to this difference in divergence, we artificially selected for high expression of GFP-fused proteins. Surprisingly, selection was equally successful for OPN and DPN genes, with -80% of genes in each group stably increasing in expression by a similar amount. Notably, the two groups adapted by distinct mechanisms: DPN-selected strains duplicated large genomic regions, while OPN-selected strains favored trans mutations not involving duplications. When selection was removed, DPN (but not OPN) genes reverted rapidly to wild-type expression levels, consistent with their lower diversity between species. Our results suggest that promoter organization constrains the early evolutionary dynamics and in this way biases the path of long-term evolution.

Indexed as

Evolution, MolecularGene Expression Regulation, FungalSaccharomyces cerevisiaeChromosome DuplicationComparative Genomic HybridizationFungal ProteinsMutationNucleosomesOligonucleotide Array Sequence AnalysisPromoter Regions, GeneticTranscription Initiation SiteFungal ProteinsNucleosomes

Identifiers

PMID22438828
PMCPMC3305400
OpenAlexW2050262047

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.