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Record W3015072785 · doi:10.1016/j.ygeno.2020.04.001

Comparative genomic analysis of Erwinia amylovora reveals novel insights in phylogenetic arrangement, plasmid diversity, and streptomycin resistance

2020· article· en· W3015072785 on OpenAlexafffund
Michael Parcey, Steven Gayder, Vivian Morley-Senkler, Guus Bakkeren, Shawkat Ali, Alan J. Castle, Antonet M. Svircev

Bibliographic record

VenueGenomics · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogenic Bacteria Studies
Canadian institutionsBrock UniversityAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyErwiniaPlasmidGeneticsFire blightPhylogenetic treeCladeStreptomycinGenomeGenePhylogeneticsMicrobiologyAntibiotics

Abstract

fetched live from OpenAlex

Erwinia amylovora is a destructive pathogen of Rosaceous plants and an economic concern worldwide. Herein, we report 93 new E. amylovora genomes from North America, Europe, the Mediterranean, and New Zealand. This new genomic information demonstrates the existence of three primary clades of Amygdaloideae (apple and pear) infecting E. amylovora and suggests all three independently originate from North America. The comprehensive sequencing also identified and confirmed the presence of 7 novel plasmids ranging in size from 2.9 to 34.7 kbp. While the function of the novel plasmids is unknown, the plasmids pEAR27, pEAR28, and pEAR35 encoded for type IV secretion systems. The strA-strB gene pair and the K43R point mutation at codon 43 of the rpsL gene have been previously documented to confer streptomycin resistance. Of the sequenced isolates, rpsL-based streptomycin resistance was more common and was found with the highest frequency in the Western North American clade.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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 head0.055
GPT teacher head0.218
Teacher spread0.164 · 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 designObservational
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

Citations64
Published2020
Admission routes2
Has abstractyes

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