Meeting Abstracts from the 5th B Chromosome Conference
Bibliographic record
Abstract
Fusarium oxysporum is a cross-kingdom fungal pathogen that infects both plants and animals.Long regarded as a highly destructive plant pathogen, F. oxysporum was recently recognized by WHO as a high-priority threat to human health.An F. oxysporum genome is divided into two compartments: core chromosomes (CCs) and accessory chromosomes (ACs).CCs are conserved, vertically transmitted from parent to offspring, and involved in essential housekeeping functions, whereas lineage-or strain-specific ACs, also known as B chromosomes, are not conserved, are thought to be horizontally transmitted, and are associated with specialized functions.My lab was the first to discover ACs in a tomato wilt-causing F. oxysporum strain and subsequently reported distinct sets of ACs in two human pathogenic strains.Our research documented that horizontally transmitted ACs of F. oxysporum genomes determine host-specific virulence and hold the key to a fundamental question of why a single species possesses a rare capacity to overwhelm the host's sophisticated immune system and cause serious disease in both plants and animals.Focusing on fungal-host interfaces, we have established F. oxysporum infection models using mouse as an animal host and Arabidopsis and tomato as plant hosts.Drawing on our expertise in bioinformatics, molecular characterization, forward and reverse genetics, and short-term experimental evolution, I will report our current understanding on how ACs contribute to host-specific virulence.I will report our efforts in identifying master regulators used by both plant and human pathogens to coordinate the functions of ACs and the core genome.To dissect host defence, we have employed single-nucleus RNA sequencing using the Fusarium-Arabidopsis interaction model.Ultimately, we aim to apply the gained knowledge to control this threatening cross-kingdom pathogen.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.383 | 0.246 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".