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Record W7117586506 · doi:10.1128/spectrum.03509-25

Single-strain and consortium inoculations with plant-beneficial <i>Pseudomonas</i> spp. promote lettuce growth under field conditions

2025· article· en· W7117586506 on OpenAlexafffund
Adrien Biessy, Mélanie Cadieux, Florence Mc Duff, Arianne Deshaies, Kosal Khun, Joël Lafond-Lapalme, Philippe Vigneault, Martin Filion

Bibliographic record

VenueMicrobiology Spectrum · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsAgriculture and Agri-Food CanadaMcGill University
FundersAgriculture and Agri-Food Canada
KeywordsRhizosphereShootInoculationMicrobial inoculantPopulationGreenhousePlant growthColonization

Abstract

fetched live from OpenAlex

ABSTRACT Plant-beneficial Pseudomonas spp. can promote plant growth by a wealth of mechanisms. Developing microbial inoculants encompassing multiple Pseudomonas strains (consortia) could represent an attractive solution to some of the problems encountered by single-strain inoculants, such as inconsistent rhizosphere colonization under field conditions. In this study, we evaluated the potential of Pseudomonas protegens B21-024 and Pseudomonas putida B21-029, inoculated alone or in combination, to promote lettuce growth under greenhouse and representative commercial field conditions. Plant growth metrics, including shoot fresh and dry weights, were used to evaluate plant growth promotion. In addition, unmanned aerial vehicle imaging was used to monitor plant growth in the field. Strain-specific primer-probe sets were also developed to study, using the quantitative polymerase chain reaction, the population dynamics of the two strains in rhizosphere soil. P. putida B21-029 and the Pseudomonas consortium significantly increased lettuce shoot fresh/dry weight under greenhouse conditions. In the field, only inoculation with P. protegens B21-024 and the Pseudomonas consortium promoted lettuce growth by significantly increasing shoot dry weight. Interestingly, the nitrogen-rich bacterial growth medium used to prepare the inocula played a role in the plant growth promotion achieved. Overall, the rhizosphere population of both Pseudomonas strains remained relatively stable during the growing season. However, the population of P. protegens B21-024 was significantly higher when it was co-inoculated with P. putida B21-029 than when inoculated alone, suggesting the existence of a beneficial relationship. These findings support the use of Pseudomonas consortia to promote the growth of leafy greens under field conditions. IMPORTANCE Some bacteria belonging to the genus Pseudomonas can establish mutually beneficial relationships with many crop species, resulting in disease suppression and/or plant growth promotion. These microorganisms show potential to replace, at least in part, synthetic fertilizers and pesticides in agricultural field settings. While some Pseudomonas strains have been shown to promote lettuce growth, successfully developing Pseudomonas consortia would have many advantages over single-strain inoculations, including better effectiveness and rhizosphere colonization. In this study, a consortium encompassing two Pseudomonas strains successfully promoted lettuce growth under greenhouse and field conditions. The nitrogen-rich bacterial growth medium used for the preparation of inocula contributed to the plant growth promotion achieved. Strain-specific molecular markers were also developed to monitor the abundance of each strain in rhizosphere soil throughout the growing season. The results obtained in this study indicate that the two Pseudomonas strains under study successfully colonized the lettuce rhizosphere.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.207
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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