Evidence map›Paper›PMID 35042853›Full record

ArticleNature communications2022

Resolving the structure of phage-bacteria interactions in the context of natural diversity.

Kathryn M Kauffman, William K Chang, Julia M Brown, Fatima A Hussain, Joy Yang, Martin F Polz, Libusha Kelly

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
22.5field-weighted citation impact, top 1% 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

73 citing papers in PubMed, 139 citations in OpenAlex.

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  19. A genomic view of Earth's biomes.Nature reviews. Genetics · 2026
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13 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

7 authors at 5 institutions in 2 countries.

Kathryn M Kauffman *Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID 0000-0002-1997-947X
William K Chang *Department of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Julia M BrownDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Fatima A HussainDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID 0000-0001-8926-3875
Joy YangDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Martin F PolzDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. martin.f.polz@univie.ac.at.ORCID 0000-0001-9296-3733
Libusha KellyDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY, 10461, USA. libusha.kelly@einsteinmed.edu.ORCID 0000-0002-7303-1022
Albert Einstein College of Medicine · USMassachusetts Institute of Technology · USRagon Institute of MGH, MIT and Harvard · USUniversity at Buffalo, State University of New York · USUniversity of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities are shaped by viral predators. Yet, resolving which viruses (phages) and bacteria are interacting is a major challenge in the context of natural levels of microbial diversity. Thus, fundamental features of how phage-bacteria interactions are structured and evolve in the wild remain poorly resolved. Here we use large-scale isolation of environmental marine Vibrio bacteria and their phages to obtain estimates of strain-level phage predator loads, and use all-by-all host range assays to discover how phage and host genomic diversity shape interactions. We show that lytic interactions in environmental interaction networks (as observed in agar overlay) are sparse-with phage predator loads being low for most bacterial strains, and phages being host-strain-specific. Paradoxically, we also find that although overlap in killing is generally rare between tailed phages, recombination is common. Together, these results suggest that recombination during cryptic co-infections is an important mode of phage evolution in microbial communities. In the development of phages for bioengineering and therapeutics it is important to consider that nucleic acids of introduced phages may spread into local phage populations through recombination, and that the likelihood of transfer is not predictable based on lytic host range.

Indexed as

Genetic VariationBacteriaBacteriophagesGenome, ViralHost SpecificityModels, BiologicalNucleotidesPhylogenyRecombinasesRecombination, GeneticSequence Analysis, DNAVibrioNucleotidesRecombinases

Identifiers

PMID35042853
PMCPMC8766483
OpenAlexW4226086803

What OpenQuestion holds

Textmetadata
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.