Georgia Blueberry <i>Neopestalotiopsis</i> Isolates, Which Are Phylogenetically Indistinguishable From the Emerging Novel Strawberry <i>Neopestalotiopsis</i> sp., Are Pathogenic to Both Blueberry and Strawberry
Bibliographic record
Abstract
A novel Neopestalotiopsis sp. causing an emerging crown, leaf, and fruit disease on strawberry has been associated with significant losses in recent years in the Eastern United States and Canada. Particularly aggressive on strawberry relative to other Neopestalotiopsis spp., isolates of this novel species are morphologically similar to the relatively less aggressive species Neopestalotiopsis rosae and have been genetically differentiated from N. rosae based on multilocus sequence analysis as well as restriction fragment length polymorphisms (RFLPs) within the fungal beta-tubulin gene. Here, from blueberry fruit collected from commercial blueberry production sites in southern Georgia (U.S.A.), we report the isolation, identification, and characterization of Neopestalotiopsis isolates, which are phylogenetically indistinguishable from the novel Neopestalotiopsis sp. from strawberry. Isolates collected from blueberry across multiple growing seasons were identified as belonging to the novel Neopestalotiopsis sp. based on RFLP and multilocus sequence analysis. Moreover, these isolates were found to be capable of causing disease on both blueberry and strawberry plants in greenhouse experiments. These findings expand our understanding of this novel Neopestalotiopsis sp. and have implications for the diagnosis and management of Neopestalotiopsis diseases on small fruit crops.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 | 0.000 |
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".