Evidence map›Paper›PMID 39982899›Full record

ArticlePloS one2025

Isolation and characterization of 24 phages infecting the plant growth-promoting rhizobacterium Klebsiella sp. M5al.

Marissa R Gittrich, Courtney M Sanderson, James M Wainaina, Cara M Noel, Jonathan E Leopold, Erica Babusci, Sumeyra C Selbes, Olivia R Farinas, Jack Caine, Joshua Davis Ii and 3 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

13 authors.

Marissa R GittrichDepartment of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.ORCID 0000-0003-0314-1426
Courtney M SandersonDepartment of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.
James M WainainaDepartment of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.
Cara M NoelDepartment of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.ORCID 0009-0009-0433-2719
Jonathan E LeopoldDepartment of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.
Erica BabusciSchool of the Environment and Natural Resources, The Ohio State University, Columbus, Ohio, United States of America.
Sumeyra C SelbesDepartment of Psychology, The Ohio State University, Columbus, Ohio, United States of America.
Olivia R FarinasCollege of Public Health, Division of Environmental Health Sciences, The Ohio State University, Columbus, Ohio, United States of America.
Jack CaineDepartment of Biology, Kenyon College, Gambier, Ohio, United States of America.
Joshua Davis IiDepartment of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.
Vivek K MutalikEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.
Paul HymanDepartment of Biology/Toxicology, Ashland University, Ashland, Ohio, United States of America.ORCID 0000-0002-0108-4993
Matthew B SullivanDepartment of Microbiology, The Ohio State University, Columbus, Ohio, United States of America.ORCID 0000-0001-8398-8234

Funding

Cellular, molecular, and biochemical sciences training grantT32GM086252 · NIGMS · OHIO STATE UNIVERSITY · PI JACKMAN, JANE ELIZABETH, MUSIER-FORSYTH, KARIN M · 2011 to 2020
$2.0M
NIGMS NIH HHS T32 GM086252
6 · The paper itself

Abstract

Bacteriophages largely impact bacterial communities via lysis, gene transfer, and metabolic reprogramming and thus are increasingly thought to alter nutrient and energy cycling across many of Earth's ecosystems. However, there are few model systems to mechanistically and quantitatively study phage-bacteria interactions, especially in soil systems. Here, we isolated, sequenced, and genomically characterized 24 novel phages infecting Klebsiella sp. M5al, a plant growth-promoting, nonencapsulated rhizosphere-associated bacterium, and compared many of their features against all 565 sequenced, dsDNA Klebsiella phage genomes. Taxonomic analyses revealed that these Klebsiella phages belong to three known phage families (Autographiviridae, Drexlerviridae, and Straboviridae) and two newly proposed phage families (Candidatus Mavericviridae and Ca. Rivulusviridae). At the phage family level, we found that core genes were often phage-centric proteins, such as structural proteins for the phage head and tail and DNA packaging proteins. In contrast, genes involved in transcription, translation, or hypothetical proteins were commonly not shared or flexible genes. Ecologically, we assessed the phages' ubiquity in recent large-scale metagenomic datasets, which revealed they were not widespread, as well as a possible direct role in reprogramming specific metabolisms during infection by screening their genomes for phage-encoded auxiliary metabolic genes (AMGs). Even though AMGs are common in the environmental literature, only one of our phage families, Straboviridae, contained AMGs, and the types of AMGs were correlated at the genus level. Host range phenotyping revealed the phages had a wide range of infectivity, infecting between 1-14 of our 22 bacterial strain panel that included pathogenic Klebsiella and Raoultella strains. This indicates that not all capsule-independent Klebsiella phages have broad host ranges. Together, these isolates, with corresponding genome, AMG, and host range analyses, help build the Klebsiella model system for studying phage-host interactions of rhizosphere-associated bacteria.

Indexed as

BacteriophagesKlebsiellaGenome, ViralPhylogenyRhizosphere

Identifiers

PMID39982899
PMCPMC11845039

What OpenQuestion holds

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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.