Pathogenic and genetic variability of<i>Fusarium verticillioides</i>from maize in northern Mexico
Bibliographic record
Abstract
The filamentous fungus Fusarium verticillioides is a widely distributed pathogen that causes ear, stalk and root rot of maize. This fungus also produces mycotoxins that accumulate in maize kernels. As chemical control has proven to be insufficient, new and effective disease control measures must be implemented. An improved understanding of the diversity of pathogen populations is thus crucial. Here, a set of 83 F. verticillioides isolates from a major maize-growing region of Mexico was characterized at the pathogenic and genetic diversity levels. A pathogenicity assay on maize seedlings established that all isolates were pathogenic and variable for aggressiveness, with most causing major damage on maize roots (>50% of root rotted). Genetic analysis also revealed high levels of variability, as seen by the high number of haplotypes (76), the population diversity value according to effective number of alleles (6.32), gene diversity (0.80), the polymorphic index content (0.78) and Shannon’s information index (2.06). The analysed F. verticillioides population reproduces asexually, suggesting that the observed genetic and pathogenic diversity is not the result of sexual reproduction and is probably mediated by other evolutionary forces, such as mutation, gene flow, selection and hyphal anastomosis.
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 | 0.001 | 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".