Evidence map›Paper›PMID 33139880›Full record

ArticleNature microbiology2021

Roles of bacteriophages, plasmids and CRISPR immunity in microbial community dynamics revealed using time-series integrated meta-omics.

Susana Martínez Arbas, Shaman Narayanasamy, Malte Herold, Laura A Lebrun, Michael R Hoopmann, Sujun Li, Tony J Lam, Benoît J Kunath, Nathan D Hicks, Cindy M Liu and 13 more

Open access · hybridAbstract read
In one paragraph

Article in Nature microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
8.2field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 78 citations in OpenAlex.

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  12. High-throughput single-cell sequencing of activated sludge microbiome.Environmental science and ecotechnology · 2025
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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

23 authors at 9 institutions in 4 countries.

Susana Martínez Arbas *Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.ORCID http://orcid.org/0000-0001-7309-8190
Shaman Narayanasamy *Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.ORCID http://orcid.org/0000-0002-5793-6235
Malte HeroldLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Laura A LebrunLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Michael R HoopmannInstitute for Systems Biology, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-7029-7792
Sujun LiSchool of Informatics, Computing and Engineering, Indiana University, Bloomington, IN, USA.ORCID http://orcid.org/0000-0001-5233-2005
Tony J LamSchool of Informatics, Computing and Engineering, Indiana University, Bloomington, IN, USA.
Benoît J KunathLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.ORCID http://orcid.org/0000-0002-3356-8562
Nathan D HicksTGen North, Flagstaff, AZ, USA.
Cindy M LiuTGen North, Flagstaff, AZ, USA.ORCID http://orcid.org/0000-0003-4537-173X
Lance B PriceTGen North, Flagstaff, AZ, USA.
Cedric C LacznyLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.ORCID http://orcid.org/0000-0002-1100-1282
John D GilleceTGen North, Flagstaff, AZ, USA.
James M SchuppTGen North, Flagstaff, AZ, USA.
Paul S KeimTGen North, Flagstaff, AZ, USA.ORCID http://orcid.org/0000-0003-0089-5820
Robert L MoritzInstitute for Systems Biology, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-3216-9447
Karoline FaustLaboratory of Molecular Bacteriology, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-7129-2803
Haixu TangSchool of Informatics, Computing and Engineering, Indiana University, Bloomington, IN, USA.
Yuzhen YeSchool of Informatics, Computing and Engineering, Indiana University, Bloomington, IN, USA.
Alexander SkupinLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.ORCID http://orcid.org/0000-0002-8955-8304
Patrick MayLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.ORCID http://orcid.org/0000-0001-8698-3770
Emilie E L MullerLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.ORCID http://orcid.org/0000-0002-3750-2966
Paul WilmesLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg. paul.wilmes@uni.lu.ORCID http://orcid.org/0000-0002-6478-2924
University of Luxembourg · LUIndiana University Bloomington · USFlagstaff Medical Center · USInstitute for Systems Biology · USMilken Institute · USCentre National de la Recherche Scientifique · FRHarvard University · USKU Leuven · BENorthern Arizona University · US

Funding

Graph-centric approaches to metatranscriptomic and metaproteomic data analysisR01AI108888 · NIAID · TRUSTEES OF INDIANA UNIVERSITY · PI YE, YUZHEN · 2014 to 2017
$1.4M
Subtractive assembly approaches for inferring disease-associated microbial genes and pathways from microbiome sequencing dataR01AI143254 · NIAID · TRUSTEES OF INDIANA UNIVERSITY · PI YE, YUZHEN · 2019 to 2023
$1.1M
NIAID NIH HHS R01 AI108888NIAID NIH HHS R01 AI143254
6 · The paper itself

Abstract

Viruses and plasmids (invasive mobile genetic elements (iMGEs)) have important roles in shaping microbial communities, but their dynamic interactions with CRISPR-based immunity remain unresolved. We analysed generation-resolved iMGE-host dynamics spanning one and a half years in a microbial consortium from a biological wastewater treatment plant using integrated meta-omics. We identified 31 bacterial metagenome-assembled genomes encoding complete CRISPR-Cas systems and their corresponding iMGEs. CRISPR-targeted plasmids outnumbered their bacteriophage counterparts by at least fivefold, highlighting the importance of CRISPR-mediated defence against plasmids. Linear modelling of our time-series data revealed that the variation in plasmid abundance over time explained more of the observed community dynamics than phages. Community-scale CRISPR-based plasmid-host and phage-host interaction networks revealed an increase in CRISPR-mediated interactions coinciding with a decrease in the dominant 'Candidatus Microthrix parvicella' population. Protospacers were enriched in sequences targeting genes involved in the transmission of iMGEs. Understanding the factors shaping the fitness of specific populations is necessary to devise control strategies for undesirable species and to predict or explain community-wide phenotypes.

Indexed as

BacteriaBacteriophagesClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsGenome, BacterialMetagenomeMicrobial ConsortiaMicrobial InteractionsPlasmidsSewageWater PurificationSewage

Identifiers

PMID33139880
PMCPMC7752763
OpenAlexW3094664746

What OpenQuestion holds

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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.