Expansion of Adhesion Genes Drives Pathogenic Adaptation of Nematode-Trapping Fungi
Why this work is in the frame
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Bibliographic record
Abstract
Understanding how fungi interact with other organisms has significant medical, environmental, and agricultural implications. Nematode-trapping fungi (NTF) can switch to pathogens by producing various trapping devices to capture nematodes. Here we perform comparative genomic analysis of the NTF with four representative trapping devices. Phylogenomic reconstruction of these NTF suggested an evolutionary trend of trapping device simplification in morphology. Interestingly, trapping device simplification was accompanied by expansion of gene families encoding adhesion proteins and their increasing adhesiveness on trap surfaces. Gene expression analysis revealed a consistent up-regulation of the adhesion genes during their lifestyle transition from saprophytic to nematophagous stages. Our results suggest that the expansion of adhesion genes in NTF genomes and consequential increase in trap surface adhesiveness are likely the key drivers of fungal adaptation in trapping nematodes, providing new insights into understanding mechanisms underlying infection and adaptation of pathogenic fungi.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 it