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Record W4388969593 · doi:10.1094/phytofr-11-23-0147-a

Genome Sequence Resource of <i>Streptomyces scabiei</i> LBUM848, a Model Strain Causing Common Scab of Potato

2023· article· en· W4388969593 on OpenAlexafffundabout
Adrien Biessy, Renée St-Onge, Mélanie Cadieux, Marie Ciotola, Martin Filion

Bibliographic record

VenuePhytoFrontiers™ · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Resistance and Genetics
Canadian institutionsUniversité de MonctonAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food Canada
KeywordsCommon scabBiologyWhole genome sequencingStreptomycesGenomeStrain (injury)VirulenceGeneticsMicrobiologyGeneBacteria

Abstract

fetched live from OpenAlex

Potato common scab is a deleterious bacterial disease caused by multiple Streptomyces species. In this paper, we report the high-quality genome sequence of the scab-causing strain Streptomyces scabiei LBUM848, which was isolated from a scab-infected potato tuber harvested in Bloomfield (New Brunswick, Canada). LBUM848 has been used as a model strain for more than a decade in our laboratory to study the interaction between plant-beneficial phenazine-producing Pseudomonas spp. and scab-causing Streptomyces spp. The analysis of LBUM848’s genome revealed that this strain harbors an extensive repertoire of virulence determinants, including various phytotoxins and secreted proteins. By comparing the genome of LBUM848 with the genomes of other sequenced S. scabiei strains, we found that LBUM848 is closely related to several scab-causing strains isolated from Prince Edward Island, Canada. [Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.050
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.009

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 head0.033
GPT teacher head0.242
Teacher spread0.209 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes3
Has abstractyes

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