Evidence map›Paper›PMID 42712021›Full record

ArticleMicrobial biotechnology2026

Bacteriophages Control Epiphytic Pseudomonas syringae Populations in Highbush Blueberry Leaves.

Cassidy Ball, Philip Lauman, Tongzhou Xu, Thomas Guy, Kasia Dadej, Robin Richter, Mark Lubberts, Keiran Cross, Meilin Ren, Someshwar Ravnit Latchman and 4 more

Abstract read
In one paragraph

Article in Microbial biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Cassidy BallFaculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0009-0006-9065-2564
Philip LaumanFaculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0001-7483-8488
Tongzhou XuCollege of Agricultural and Environmental Sciences, University of Georgia, Griffin, Georgia, USA.ORCID https://orcid.org/0000-0002-3829-8688
Thomas GuySummerland Research and Development Centre, Agriculture & Agri-Food Canada, Summerland, British Columbia, Canada.ORCID https://orcid.org/0009-0008-5549-3881
Kasia DadejOttawa Research and Development Centre, Agriculture & Agri-Food Canada, Ottawa, Ontario, Canada.ORCID https://orcid.org/0009-0002-4607-506X
Robin RichterOttawa Research and Development Centre, Agriculture & Agri-Food Canada, Ottawa, Ontario, Canada.ORCID https://orcid.org/0000-0002-1175-9130
Mark LubbertsSummerland Research and Development Centre, Agriculture & Agri-Food Canada, Summerland, British Columbia, Canada.ORCID https://orcid.org/0009-0008-5923-6225
Keiran CrossSummerland Research and Development Centre, Agriculture & Agri-Food Canada, Summerland, British Columbia, Canada.ORCID https://orcid.org/0009-0005-8436-944X
Meilin RenFaculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0002-9073-5099
Someshwar Ravnit LatchmanFaculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0009-0004-6375-0455
Rishi BurlakotiAgassiz Research and Development Centre, Agriculture & Agri-Food Canada, Agassiz, British Columbia, Canada.ORCID https://orcid.org/0000-0002-4920-5512
Xiangyu DengCollege of Agricultural and Environmental Sciences, University of Georgia, Griffin, Georgia, USA.ORCID https://orcid.org/0000-0002-7251-2529
Karen FongSummerland Research and Development Centre, Agriculture & Agri-Food Canada, Summerland, British Columbia, Canada.ORCID https://orcid.org/0000-0001-7554-6890
Siyun WangFaculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0003-2468-2483

Funding

Genome British Columbia GIR007
6 · The paper itself

Abstract

The Pseudomonas syringae complex (Psc) is a group of globally distributed phytopathogens responsible for substantial agricultural losses. Although bacteriophage-based biocontrol has shown promise against Psc, no studies have examined phages targeting blueberry-tropic Psc lineages. Here, we isolated phages infecting Psc strains from diseased highbush blueberry (Vaccinium corymbosum), and evaluated their suitability for biocontrol using a multi-stage screening pipeline incorporating host-range analysis, comparative genomics, environmental stability testing, in vitro antibacterial efficacy assays and ex planta validation. Twelve of the isolated phages exhibited favourable host-range characteristics. Genomic analyses revealed substantial phylogenetic diversity among these candidates but simultaneously identified multiple clonal groups, reducing the collection to eight non-redundant phages spanning five distinct genera. Candidate phages generally retained infectivity under environmentally relevant conditions and exhibited heterogeneous but largely favourable stability profiles. Planktonic killing assays uncovered considerable variation in antibacterial efficacy, but phage performance appeared to be driven by infection compatibility and host-specific factors rather than properties intrinsic to individual phages. Notably, the jumbo phage

Indexed as

BacteriophagesBlueberry PlantsPlant DiseasesPlant LeavesPseudomonas PhagesPseudomonas syringaeBiological Control AgentsGenome, ViralHost SpecificityPhylogenyBiological Control Agentsagricultural biotechnologyjumbo phagephage biocontrolphage cocktailphytopathogenPseudomonas syringae complexVaccinium corymbosum

Identifiers

PMID42712021
PMCPMC13554743

What OpenQuestion holds

Textmetadata
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.