Pectobacterium aroidearum sp. nov., a soft rot pathogen with preference for monocotyledonous plants
Bibliographic record
Abstract
Several pectolytic bacterial strains, mainly isolated from monocotyledonous plants and previously identified as Pectobacterium carotovorum, were thought to belong to a novel species after several taxonomic analyses including DNA-DNA hybridization. In 16S rRNA gene sequence analyses, these strains had a similarity of >97.9 % to the 16S rRNA gene sequence of strains representing six other pectobacterial species and subspecies. These strains, represented by strain SCRI 109(T), also showed some unique chemotaxonomic features and quantitative differences in polar lipids, lipoquinones and fatty acids. A specific feature of strain SCRI 109(T) was the presence of DMK-8 lipoquinone, while the dominant fatty acids were the summed feature 3 (iso-C15 : 0 2-OH/C16 : 1ω7c), the unsaturated fatty acid C18 : 1ω7c and straight chain fatty acids, mainly C16 : 0. The DNA G+C content of strain SCRI 109(T) was 50.2 mol%. The taxonomic status of strain SCRI 109(T) and related strains in 16S rRNA gene sequence, chemotaxonomic, and physiological analyses was corroborated by the distinct clustering of these strains in multi-locus sequence analyses. It is proposed that these strains represent a novel species for which the name Pectobacterium aroidearum sp. nov. is proposed; the type strain is SCRI 109(T) ( = NCPPB 929(T) = LMG 2417(T) = ICMP 1522(T)).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".