Editorial: Fusarium species as plant and human pathogens, mycotoxin producers, and biotechnological importance
Bibliographic record
Abstract
TopicFusarium species as plant and human pathogens, mycotoxin producers, and biotechnological importanceThe fungal genus Fusarium Link includes many plant pathogens of agricultural crops, human pathogens, and species with biotechnological applications (Leslie and Summerell, 2006;Aoki et al., 2014;Meyer et al., 2020;Geiser et al., 2021).The main concern in the last decades has been devoted to those species that infect staple crops and produce secondary metabolites known as mycotoxins.Mycotoxins produced by Fusarium species have been shown to occur worldwide.Among these, fumonisins and trichothecenes are of great concern for their impact on human and animal health (Munkvold et al., 2021).Under a scenario of climate change, the situation can worsen due to changes in fungal biodiversity, in the resistance/resilience of crops, and in the strong impact of the environmental factors affecting both global food security and safety (Singh et al., 2023).This Research Topic describes recent advances in the field of plant pathogens and toxigenic Fusarium species and strategies to reduce their impact.In this Research Topic, four works (three original research articles and one hypothesis and theory article) were published on Fusarium species that are important as plant pathogens in maize, wheat, and tobacco and the recent advances in their biodiversity and control.Environmentally friendly strategies are explored to reduce the impact of mycotoxins produced by Fusarium species on cereals (Petrucci et al., 2023).The manuscript of Satterlee et al., on the transcriptomic response of Fusarium verticillioides to variably inhibitory environmental isolates of Streptomyces, described the evaluation of Streptomyces strains to control F. verticillioides.The strains that showed more impact on F. verticillioides growth also caused more impact in the transcriptomic response.Variation in time response was observed.Among the genes involved, one was related to nitrogen assimilation and others to the gene cluster of fusaric acid.This metabolite is important in the interaction of F. verticillioides with potential antagonists.Other genes affected were those related to b lactamases produced by F. verticillioides; these enzymes were induced under the Frontiers in Fungal Biology frontiersin.
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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.010 | 0.011 |
| Insufficient payload (model declined to judge) | 0.033 | 0.021 |
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".