ArticleFrontiers in microbiology2016
Predicting Resistance by Mutagenesis: Lessons from 45 Years of MBC Resistance.
Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Sensitivity of Irish Pyrenopeziza brassicae populations to methyl benzimidazole carbamate (MBC), quinone outside inhibitor (QoI) and succinate dehydrogenase inhibitor (SDHI) fungicides.Pest management science · 2026Article
- Sakuranetin, a Natural Flavonoid, Promising to Manage Grapevine Diseases.Molecules (Basel, Switzerland) · 2026Article
- Historical comparative genomics to track the evolution of fungal pathogens: a proof of concept.BMC genomics · 2026Article
- Nanotechnology-driven strategies to overcome azole resistance inFrontiers in plant science · 2026Review
- Genomic Insights into Historical Adaptation of Three Key Fungal Plant Pathogens.Genome biology and evolution · 2025Article
- Article
- Learning from fungicide resistance: Evolutionary insights to guide RNAi-based control of fungal crop pathogens.Fungal biology reviews · 2025Article
- Fungal Disease Tolerance with a Focus on Wheat: A Review.Journal of fungi (Basel, Switzerland) · 2024Review
- Pan-azole- and multi-fungicide-resistantApplied and environmental microbiology · 2024Article
- Importance of theJournal of fungi (Basel, Switzerland) · 2024Article
- Assessing the predictability of fungicide resistance evolution through in vitro selection.Journal of plant diseases and protection : scientific journal of the German Phytomedical Society (DPG) · 2024Article
- Antifungal alternation can be beneficial for durability but at the cost of generalist resistance.Communications biology · 2023Article
- A growing threat: Investigating the high incidence of benzimidazole fungicides resistance in Iranian Botrytis cinerea isolates.PloS one · 2023Article
- Prevalence of Carbendazin Resistance in Field Populations of the Rice False Smut PathogenJournal of fungi (Basel, Switzerland) · 2022Article
- Evidence for the agricultural origin of resistance to multiple antimicrobials in Aspergillus fumigatus, a fungal pathogen of humans.G3 (Bethesda, Md.) · 2022Article
- Multiresistance to Nonazole Fungicides in Aspergillus fumigatus TRAntimicrobial agents and chemotherapy · 2021Article
- Fungicide Resistance in Powdery Mildew Fungi.Microorganisms · 2020Review
- Wheat pathogenRSC chemical biology · 2020Article
- Pyridachlometyl has a novel anti-tubulin mode of action which could be useful in anti-resistance management.Pest management science · 2020Article
- The Multi-Fungicide Resistance Status ofFrontiers in microbiology · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
When a new fungicide class is introduced, it is useful to anticipate the resistance risk in advance, attempting to predict both risk level and potential mechanisms. One tool for the prediction of resistance risk is laboratory selection for resistance, with the mutational supply increased through UV or chemical mutagenesis. This enables resistance to emerge more rapidly than in the field, but may produce mutations that would not emerge under field conditions. The methyl benzimidazole carbamates (MBCs) were the first systemic single-site agricultural fungicides, and the first fungicides affected by rapid evolution of target-site resistance. MBC resistance has now been reported in over 90 plant pathogens in the field, and laboratory mutants have been studied in nearly 30 species. The most common field mutations, including β-tubulin E198A/K/G, F200Y and L240F, have all been identified in laboratory mutants. However, of 28 mutations identified in laboratory mutants, only nine have been reported in the field. Therefore, the predictive value of mutagenesis studies would be increased by understanding which mutations are likely to emerge in the field. Our review of the literature indicates that mutations with high resistance factors, and those found in multiple species, are more likely to be reported in the field. However, there are many exceptions, possibly due to fitness penalties. Whether a mutation occurred in the same species appears less relevant, perhaps because β-tubulin is highly conserved so functional constraints are similar across all species. Predictability of mutations in other target sites will depend on the level and conservation of constraints.
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