Evidence map›Paper›PMID 35347228›Full record

ArticleCommunications biology2022

A comparative whole-genome approach identifies bacterial traits for marine microbial interactions.

Luca Zoccarato, Daniel Sher, Takeshi Miki, Daniel Segrè, Hans-Peter Grossart

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
8.3field-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

32 citing papers in PubMed, 57 citations in OpenAlex.

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  12. Enrichment of vitamin BMicrobiome · 2025
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  15. Review
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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 5 institutions in 4 countries.

Luca ZoccaratoDepartment of Plankton and Microbial Ecology, Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), 16775, Stechlin, Germany. luca.zoccarato@boku.ac.at.ORCID http://orcid.org/0000-0001-8914-6396
Daniel SherDepartment of Marine Biology, Leon H. Charney School of Marine Sciences, University of Haifa, 3498838, Haifa, Israel. dsher@univ.haifa.ac.il.ORCID http://orcid.org/0000-0001-6164-5126
Takeshi MikiFaculty of Advanced Science and Technology, Ryukoku University, 520-2194, Otsu, Japan.
Daniel SegrèDepartments of Biology, Biomedical Engineering, Physics, Boston University, 02215, Boston, MA, USA.ORCID http://orcid.org/0000-0003-4859-1914
Hans-Peter GrossartDepartment of Plankton and Microbial Ecology, Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), 16775, Stechlin, Germany. hanspeter.grossart@igb-berlin.de.ORCID http://orcid.org/0000-0002-9141-0325
Boston University · USLeibniz Institute of Freshwater Ecology and Inland Fisheries · DERyukoku University · JPUniversity of Haifa · ILUniversity of Potsdam · DE

Funding

Human Frontier Science Program (HFSP) RGB 0020/2016
6 · The paper itself

Abstract

Microbial interactions shape the structure and function of microbial communities with profound consequences for biogeochemical cycles and ecosystem health. Yet, most interaction mechanisms are studied only in model systems and their prevalence is unknown. To systematically explore the functional and interaction potential of sequenced marine bacteria, we developed a trait-based approach, and applied it to 473 complete genomes (248 genera), representing a substantial fraction of marine microbial communities. We identified genome functional clusters (GFCs) which group bacterial taxa with common ecology and life history. Most GFCs revealed unique combinations of interaction traits, including the production of siderophores (10% of genomes), phytohormones (3-8%) and different B vitamins (57-70%). Specific GFCs, comprising Alpha- and Gammaproteobacteria, displayed more interaction traits than expected by chance, and are thus predicted to preferentially interact synergistically and/or antagonistically with bacteria and phytoplankton. Linked trait clusters (LTCs) identify traits that may have evolved to act together (e.g., secretion systems, nitrogen metabolism regulation and B vitamin transporters), providing testable hypotheses for complex mechanisms of microbial interactions. Our approach translates multidimensional genomic information into an atlas of marine bacteria and their putative functions, relevant for understanding the fundamental rules that govern community assembly and dynamics.

Indexed as

BacteriaMicrobiotaEcologyMicrobial InteractionsPhytoplankton

Identifiers

PMID35347228
PMCPMC8960797
OpenAlexW4220968735

What OpenQuestion holds

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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.