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Record W6922725833 · doi:10.13590/j.cjfh.2022.01.008

Genetic characteristics of Burkholderia gladiolus pv. cocovenenans isolated from poisonous food

2022· article· en· W6922725833 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2022
Typearticle
Languageen
FieldComputer Science
TopicEducational Robotics and Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsChromosomeGenomeGeneGladiolusPlasmidGenetic analysisPhylogenetic treeDNA sequencing

Abstract

fetched live from OpenAlex

ObjectiveWhole genome sequencing and analysis was conducted on a Burkholderia gladiolus pv. cocovenenans strain, isolated from raw corn flour sample which caused family agglutinative bongkrekic acid poisoning. The genetic characteristics of its virulence and pathogenicity were analyzed as well.MethodsGenomic DNA was extracted from DBJ isolate, the whole genome sequencing was carried out. Bioinformatics method were used to mine and analyze the data obtained from sequencing.ResultsTwo independent chromosomes (G1 and G2) and one plasmid (P) were found in DBJ isolate. The lengths of the chromosomes and plasmid were about 4 Mb and 300 kb respectively. The GC content of the two chromosomes was both around 68.0%, and that of the plasmid was slightly lower at 63.0%. The bon gene cluster was found on chromosome G2. The phylogenetic analysis showed that DBJ isolate and UCD-UG_CHAPALOTE stain which was isolated from corn sample in Canada were in the same clade. Among 255 strains, 31 carrying bon gene cluster and they had obvious genetic evolutionary tendency.ConclusionThe bon gene cluster was located on the chromosome of Burkholderia gladiolus pv. cocovenenans DBJ, and it was the main pathogenic gene causing food poisoning in human.

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)0.000
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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.141
GPT teacher head0.451
Teacher spread0.310 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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