Evidence map›Paper›PMID 26973873›Full record

ArticleScience advances2016

Bacterial antisense RNAs are mainly the product of transcriptional noise.

Verónica Lloréns-Rico, Jaime Cano, Tjerko Kamminga, Rosario Gil, Amparo Latorre, Wei-Hua Chen, Peer Bork, John I Glass, Luis Serrano, Maria Lluch-Senar

Abstract read
In one paragraph

Article in Science advances, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

  1. Article
  2. Living Microbial Drugs.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026
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  4. Hybrid capture RNA-seq defines temporal gene expression inbioRxiv : the preprint server for biology · 2026
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  7. Identification of Small RNAs inInternational journal of molecular sciences · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Sense and antisense RNA products of theFrontiers in molecular biosciences · 2023
    Article
  18. RNA biology · 2023
    Article
  19. Article
  20. Article

11 more citing papers are in PubMed but not listed here.

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

10 authors.

Verónica Lloréns-RicoEMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003 Barcelona, Spain.; Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain.
Jaime CanoEMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003 Barcelona, Spain.; Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain.ORCID 0000-0003-2458-9609
Tjerko KammingaMSD Animal Health, Bioprocess Technology and Support, 5830 AB Boxmeer, Netherlands.; Laboratory of Systems and Synthetic Biology, Wageningen University, 6700 EJ Wageningen, Netherlands.
Rosario GilInstitut Cavanilles de Biodiversitat i Biologia Evolutiva, Universitat de València, 46980 Paterna, València, Spain.ORCID 0000-0002-9397-1003
Amparo LatorreInstitut Cavanilles de Biodiversitat i Biologia Evolutiva, Universitat de València, 46980 Paterna, València, Spain.; Área de Genómica y Salud, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)-Salud Pública, 46020 Valencia, Spain.ORCID 0000-0002-9146-7284
Wei-Hua ChenEuropean Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Peer BorkEuropean Molecular Biology Laboratory, 69117 Heidelberg, Germany.; Max Delbrück Centre (MDC) for Molecular Medicine, 13125 Berlin, Germany.
John I GlassDepartment of Synthetic Biology and Bioenergy, J. Craig Venter Institute, La Jolla, CA 92037, USA.; Department of Synthetic Biology and Bioenergy, J. Craig Venter Institute, Rockville, MD 20850, USA.ORCID 0000-0002-3784-5301
Luis SerranoEMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003 Barcelona, Spain.; Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain.; Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluis Companys 23, 08010 Barcelona, Spain.
Maria Lluch-SenarEMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003 Barcelona, Spain.; Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

cis-Encoded antisense RNAs (asRNAs) are widespread along bacterial transcriptomes. However, the role of most of these RNAs remains unknown, and there is an ongoing discussion as to what extent these transcripts are the result of transcriptional noise. We show, by comparative transcriptomics of 20 bacterial species and one chloroplast, that the number of asRNAs is exponentially dependent on the genomic AT content and that expression of asRNA at low levels exerts little impact in terms of energy consumption. A transcription model simulating mRNA and asRNA production indicates that the asRNA regulatory effect is only observed above certain expression thresholds, substantially higher than physiological transcript levels. These predictions were verified experimentally by overexpressing nine different asRNAs in Mycoplasma pneumoniae. Our results suggest that most of the antisense transcripts found in bacteria are the consequence of transcriptional noise, arising at spurious promoters throughout the genome.

Indexed as

Transcription, GeneticRNA, AntisenseRNA, BacterialSpecies SpecificityTranscriptomeRNA, AntisenseRNA, Bacterialbacterial antisense RNAsRNA

Identifiers

PMID26973873
PMCPMC4783119

What OpenQuestion holds

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LicenceCC BY-NC
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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.