Evidence map›Paper›PMID 31298776›Full record

ArticleEnvironmental microbiology2019

Highly variable mRNA half-life time within marine bacterial taxa and functional genes.

Paul A Steiner, Daniele De Corte, Javier Geijo, Catalina Mena, Taichi Yokokawa, Thomas Rattei, Gerhard J Herndl, Eva Sintes

Abstract read
In one paragraph

Article in Environmental microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  14. Metatranscriptomics bymSystems · 2020
    Article
  15. Dormancy dampens the microbial distance-decay relationship.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    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

8 authors.

Paul A SteinerLimnology and Bio-Oceanography, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria.ORCID 0000-0002-5551-3562
Daniele De CorteMarine Functional Biology Group, Research and Development Center for Marine Biosciences, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Natushima 2-15, Yokosuka, Kanagawa, Japan.
Javier GeijoDepartment of Microbiology and Ecosystem Science, Division of Computational Systems Biology, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria.
Catalina MenaInstituto Español de Oceanografia, Centre Oceanogràfic de les Balears, Moll de Ponent s/n, 07015, Palma, Spain.
Taichi YokokawaInstitute for Extra-cutting-edge Science and Technology Avant-garde Research (X-star), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Natushima 2-15, Yokosuka, Kanagawa, Japan.
Thomas RatteiDepartment of Microbiology and Ecosystem Science, Division of Computational Systems Biology, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria.
Gerhard J HerndlLimnology and Bio-Oceanography, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria.ORCID 0000-0002-2223-2852
Eva SintesLimnology and Bio-Oceanography, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria.ORCID 0000-0002-7408-5647

Funding

Austrian Science Fund P27696-B22Austrian Science Fund P28781-B21Austrian Science Fund W1257-B20Austrian Science Fund Z194-B1Japan Society for the Promotion of Science 16F16085Japan Society for the Promotion of Science P16085
6 · The paper itself

Abstract

Messenger RNA can provide valuable insights into the variability of metabolic processes of microorganisms. However, due to uncertainties that include the stability of RNA, its application for activity profiling of environmental samples is questionable. We explored different factors affecting the decay rate of transcripts of three marine bacterial isolates using qPCR and determined mRNA half-life time of specific bacterial taxa and of functional genes by metatranscriptomics of a coastal environmental prokaryotic community. The half-life time of transcripts from 11 genes from bacterial isolates ranged from 1 to 46 min. About 80% of the analysed transcripts exhibited half-live times shorter than 10 min. Significant differences were found in the half-life time between mRNA and rRNA. The half-life time of mRNA obtained from a coastal metatranscriptome ranged from 9 to 400 min. The shortest half-life times of the metatranscriptome corresponded to transcripts from the same clusters of orthologous groups (COGs) in all bacterial classes. The prevalence of short mRNA half-life time in genes related to defence mechanisms and motility indicate a tight connection of RNA decay rate to environmental stressors. The short half-life time of RNA and its high variability needs to be considered when assessing metatranscriptomes especially in environmental samples.

Indexed as

Aquatic OrganismsBacteriaHalf-LifeRNA, MessengerRNA, RibosomalRNA StabilityTranscriptomeRNA, MessengerRNA, Ribosomal

Identifiers

PMID31298776
PMCPMC7379614

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Registered trials

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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.