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Evolution of Plant Pathogenesis in<i>Pseudomonas syringae</i>: A Genomics Perspective

2011· review· en· W2101150960 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnual Review of Phytopathology · 2011
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogenic Bacteria Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBiologyPathovarPseudomonas syringaeGenomeOutbreakVirulenceGenomicsEffectorGeneticsComparative genomicsEvolutionary biologyPathogenGenePseudomonasBacteriaPseudomonadaceaeVirology

Abstract

fetched live from OpenAlex

The phytopathogenic bacterium Pseudomonas syringae causes serious diseases in a wide range of important crop plants, with recent severe outbreaks on the New Zealand kiwifruit crop and among British horse chestnut trees. Next-generation genome sequencing of over 25 new strains has greatly broadened our understanding of how this species adapts to a diverse range of plant hosts. Not unexpectedly, the genomes were found to be highly dynamic, and extensive polymorphism was found in the distribution of type III secreted effectors (T3SEs) and other virulence-associated genes, even among strains within the same pathovar. An underexplored area brought to light by these data is the specific metabolic adaptations required for growth on woody hosts. These studies provide a tremendous wealth of candidates for more refined functional characterization, which is greatly enhancing our ability to disentangle the web of host-pathogen interactions that determine disease outcomes.

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.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.935
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.031
GPT teacher head0.270
Teacher spread0.239 · 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