Comparative genome analysis proposes three new <i>Aureobasidium</i> species isolated from grape juice
Bibliographic record
Abstract
Aureobasidium pullulans is the most abundant and ubiquitous species within the genus and is also considered a core component of the grape juice microflora. So far, a small number of other Aureobasidium species have been reported, that in contrast to A. pullulans, appear far more constrained to specific habitats. It is unknown whether grape juice is a reservoir of novel Aureobasidium species, overlooked in the course of conventional morphological and meta-barcoding analyses. In this study, eight isolates from grape juice taxonomically classified as Aureobasidium through ITS sequencing were subjected to whole-genome phylogenetic, synteny and nucleotide identity analyses, which revealed three isolates to likely represent newly discovered Aureobasidium species. Analyses of ITS and metagenomic sequencing datasets show that these species can be present in grape juice samples from different locations and vintages. Functional annotation revealed the Aureobasidium isolates possess the genetic potential to support growth on the surface of plants and grapes. However, the loss of several genes associated with tolerance to diverse environmental stresses suggest a more constrained ecological range than A. pullulans.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".