Affinibrenneria salicis gen. nov. sp. nov. isolated from Salix matsudana bark canker
Bibliographic record
Abstract
Abstract L3-3HAT, a Gram-negative-staining, facultatively anaerobic, motile bacterial strain, was isolated from the symptomatic bark of Salix matsudana canker in China. 16S rRNA gene analysis revealed that the novel strain shares the highest sequence similarity with Brenneria goodwinii FRB141T (95.5 %). In phylogenetic trees based on four housekeeping genes (gyrB, rpoB, atpD and infB) and the 16S rRNA gene sequence, the novel strain formed a separate branch from the five genera of the family Pectobacteriaceae (Lonsdalea, Brenneria, Dickeya, Pectobacterium and Sodalis), suggesting that the novel strain should belong to a novel species of a novel genus within the family Pectobacteriaceae. The result was also supported by phylogenomics, amino acid identity and average nucleotide identity. The major fatty acids were C14:0, C16:0, C17:0 cyclo, and C19:0 cyclo ɷ8c. Genome analysis showed that the novel strain has a large genome (5.89 Mb) with 5,052 coding genes, including 181 virulence genes by searching the pathogen-host interactions database (PHI-base), indicating that the novel strain is a potential pathogen of plants and animals. Based on phenotypic and genotypic characteristics, the L3-3HAT strain represents a novel species of a novel genus in the Pectobacteriaceae family, for which the name Affinibrenneria salicis gen nov. sp. nov. is proposed. The strain type is L3-3HAT (= CFCC 15588T = LMG 31209T).
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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".