Evidence map›Paper›PMID 29668692›Full record

ArticlePLoS genetics2018

Extensive reshaping of bacterial operons by programmed mRNA decay.

Daniel Dar, Rotem Sorek

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

45 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
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  8. Co-transcriptional gene regulation in eukaryotes and prokaryotes.Nature reviews. Molecular cell biology · 2024
    Review
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  19. Frontiers in microbiology · 2022
    Article
  20. Article
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.

Daniel DarDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.
Rotem SorekDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0002-3872-4982
Weizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial operons synchronize the expression of multiple genes by placing them under the control of a shared promoter. It was previously shown that polycistronic transcripts can undergo differential RNA decay, leaving some genes within the polycistron more stable than others, but the extent of regulation by differential mRNA decay or its evolutionary conservation remains unknown. Here, we find that a substantial fraction of E. coli genes display non-uniform mRNA stoichiometries despite being coded from the same operon. We further show that these altered operon stoichiometries are shaped post-transcriptionally by differential mRNA decay, which is regulated by RNA structures that protect specific regions in the transcript from degradation. These protective RNA structures are generally coded within the protein-coding regions of the regulated genes and are frequently evolutionarily conserved. Furthermore, we provide evidence that differences in ribosome densities across polycistronic transcript segments, together with the conserved structural RNA elements, play a major role in the differential decay process. Our results highlight a major role for differential mRNA decay in shaping bacterial transcriptomes.

Indexed as

Conserved SequenceEndoribonucleasesEscherichia coliGenes, BacterialModels, BiologicalNucleic Acid ConformationOperonRibosomesRNA, BacterialRNA, MessengerRNA Processing, Post-TranscriptionalRNA StabilityTranscriptomeEndoribonucleasesribonuclease ERNA, BacterialRNA, Messenger

Identifiers

PMID29668692
PMCPMC5927463
OpenAlexW2801886747

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.