Domestication of different varieties in the cheese-making fungus Geotrichum candidum
Bibliographic record
Abstract
Abstract Domestication is an excellent model for studying adaptation processes, constituting recent adaptation and diversification, as well as degeneration of unused functions. Geotrichum candidum is a fungus used for cheese-making and is also found in other environments such as soil and plants. By analyzing whole genome data from 98 strains, we found that all strains isolated from cheese formed a monophyletic clade. Within the cheese clade, we identified three differentiated populations and we detected footprints of recombination and hybridization. The genetic diversity in the cheese clade was the lowest but remained high compared to other domesticated fungi, indicating milder bottlenecks. Commercial starter strains were scattered across the cheese clade, not constituting a single clonal lineage. The cheese clade was phenotypically differentiated from other populations, with a slower growth on all media even cheese, a prominent production of attractive cheese flavors and a lower proteolytic activity. Furthermore, cheese populations displayed contrasted phenotypes, with one cheese population producing a typical blue cheese flavor and another one displaying denser and fluffier colonies, excluding more efficiently cheese spoiler fungi. Cheese populations lost two beta lactamase-like genes, involved in xenobiotic clearance, and displayed transposable element expansion, likely due to relaxed selection. Our findings suggest the existence of genuine domestication in G. candidum, which led to diversification into three varieties with contrasted phenotypes. Some of the traits acquired by cheese strains indicate convergence with other, distantly related fungi used for cheese maturation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".