Molecular Genetic Diversity and Variation for Aggressiveness in Populations of <i>Fusarium graminearum</i> and <i>Fusarium culmorum</i> Sampled from Wheat Fields in Different Countries
Bibliographic record
Abstract
Fusarium graminearum and Fusarium culmorum are the major pathogenic organisms causing head blight in small‐grain cereals. Natural epidemics may result in severe yield losses, reduction in quality, and contamination of the grain by mycotoxins. The genetic diversity of four field populations of F. graminearum from Germany, Hungary, and Canada, and one population of F. culmorum from Russia was investigated by polymerase chain reaction (PCR)‐based fingerprinting. Additionally, a world‐wide collection and two of the F. graminearum populations were analysed for their aggressiveness on young plants of winter rye in the greenhouse. The number of isolates analysed per population varied from 25 to 70. Significant quantitative variation for aggressiveness was observed within each of the individual field populations amounting to the same range as the world‐wide collection. Abundant variation within populations was also revealed by DNA markers. The F. graminearum populations from Hungary and Winnipeg displayed the least genotypic diversity, the two German F. graminearum populations and the Russian F. culmorum population were highly diverse. Population diversity, however, followed no spatial pattern among samples within a German field for aggressiveness or molecular markers. For F. graminearum, sexual recombination is the most likely explanation for the large genetic diversity within field populations. Asexual and/or parasexual recombination, and balancing selection caused by the periodic alternation between the saprophytic and parasitic phase might play an additional role and account for the variation within the F. culmorum population. For improving Fusarium resistance, several resistance genes of different sources should be combined to avoid an unspecific adaptation of the genetically variable pathogen to an increased resistance level.
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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 | 0.000 | 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 | 0.001 | 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".