Molecular phylogeny of the<i>Fusarium solani</i>species complex (FSSC) isolated from soils in Iran
Bibliographic record
Abstract
Members of Fusarium solani species complex (FSSC) are frequently isolated from soils, food, feeds, trees, and to some extent from humans and other animals. The taxonomic status of these fungi is being revised but no attempt has been made to identify those isolated in Iran, a mountainous country with a high biodiversity. The objective of the present research was to study the phylogenetic diversity of FSSC strains recovered from soils in Iran by analyzing morphological characteristics and DNA sequences. A total of 65 strains belonging to the FSSC were recovered from agricultural soils in western Iran. Based on differences in their morphological characters, 25 strains were selected for phylogenetic analysis employing translation elongation factor-1α (tef1) and internal transcribed spacer (ITS) region sequences. Comparisons of DNA sequence data revealed that all isolates belonged to Fusarium falciforme, Fusarium keratoplasticum, Fusarium petroliphilum, the unnamed species FSSC 5, and unknown species of Fusarium, which represents a new lineage within members of Clade 3. Based on morphological features and phylogenetic study, F. keratoplasticum and F. petroliphilum were reported for the first time in Iran.
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 | 0.002 | 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) | 0.000 | 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".