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Record W1968353836 · doi:10.1094/mpmi-22-6-0686

Identification of Bacterial Proteins Mediating the Interactions Between <i>Pseudomonas putida</i> UW4 and <i>Brassica napus</i> (Canola)

2009· article· en· W1968353836 on OpenAlexaff
Zhenyu Cheng, Jin Duan, Youai Hao, Brendan J. McConkey, Bernard R. Glick

Bibliographic record

VenueMolecular Plant-Microbe Interactions · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPseudomonas putidaCanolaMutantProteomeBiologyRhizosphereBiochemistryPseudomonasBacteriaGeneBotanyGenetics

Abstract

fetched live from OpenAlex

The influence of canola root exudates on the proteome of Pseudomonas putida UW4 and the mutant strain P. putida UW4/AcdS(-), which lacks a functional 1-aminocyclopropane-1-carboxylate deaminase gene, was examined using two-dimensional difference in-gel electrophoresis. Seventy-two proteins with significantly altered expression levels in the presence of canola root exudates were identified by mass spectrometry. Many of these proteins are involved in nutrient transport and utilization, cell envelope synthesis, and transcriptional or translational regulation and, hence, may play important roles in plant-bacterial interactions. Four proteins showing large changes in expression in response to canola root exudates in both the wild-type and mutant strains of P. putida UW4 (i.e., outer membrane protein F, peptide deformylase, transcription regulator Fis family protein, and a previously uncharacterized protein) were both overexpressed and disrupted in P. putida UW4 in an effort to better understand their functions. Functional studies of these modified strains revealed significantly enhanced or inhibited plant-growth-promoting abilities compared with the wild-type P. putida UW4, in agreement with the suggested involvement of three of these four proteins in plant-bacterial interactions. The work reported here suggests strategies to both identify potential antibacterial agents and develop bacterial strains that might be useful adjuncts to agriculture. This approach may be an effective means of identifying key proteins mediating the interactions of bacteria with their rhizosphere environment.

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 score0.060
Threshold uncertainty score0.566

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.227
Teacher spread0.215 · 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

Citations41
Published2009
Admission routes1
Has abstractyes

Explore more

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