Genome and transcriptome analysis of the latent pathogen <i>Lasiodiplodia theobromae</i>, an emerging threat to the cacao industry
Bibliographic record
Abstract
Lasiodiplodia theobromae (Pat.) Griffon & Maubl., a member of the family Botryosphaeriaceae, is becoming a significant threat to crops and woody plants in many parts of the world, including the major cacao growing areas. While attempting to isolate Ceratobasidium theobromae, a causal agent of vascular streak dieback (VSD), from symptomatic cacao stems, 74% of isolated fungi were Lasiodiplodia spp. Sequence-based identification of 52 putative isolates of L. theobromae indicated that diverse species of Lasiodiplodia were associated with cacao in the studied areas, and the isolates showed variation in aggressiveness when assayed using cacao leaf discs. The present study reports a 43.75 Mb de novo assembled genome of an isolate of L. theobromae from cacao. Ab initio gene prediction generated 13 061 protein-coding genes, of which 2862 are unique to L. theobromae, when compared with other closely related Botryosphaeriaceae. Transcriptome analysis revealed that 11 860 predicted genes were transcriptionally active and 1255 were more highly expressed in planta compared with cultured mycelia. The predicted genes differentially expressed during infection were mainly those involved in carbohydrate, pectin, and lignin catabolism, cytochrome P450, necrosis-inducing proteins, and putative effectors. These findings significantly expand our knowledge of the genome of L. theobromae and the genes involved in virulence and pathogenicity.
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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 | 0.000 | 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) | 0.001 | 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".