Transcriptomic and functional analyses on a Botrytis cinerea multidrug-resistant (MDR) strain provides new insights into the potential molecular mechanisms of MDR and fitness.
Georgios SofianosEdoardo PiomboMukesh DubeyMagnus KarlssonGeorgios S KaraoglanidisGeorgios TzelepisPublished in: Molecular plant pathology (2024)
Botrytis cinerea is a notorious pathogen causing pre- and post-harvest spoilage in many economically important crops. Excessive application of site-specific fungicides to control the pathogen has led to the selection of strains possessing target site alterations associated with resistance to these fungicides and/or strains overexpressing efflux transporters associated with multidrug resistance (MDR). MDR in B. cinerea has been correlated with the overexpression of atrB and mfsM2, encoding an ATP-binding cassette (ABC) and a major facilitator superfamily (MFS) transporter, respectively. However, it remains unknown whether other transporters may also contribute to the MDR phenotype. In the current study, the transcriptome of a B. cinerea multidrug-resistant (MDR) field strain was analysed upon exposure to the fungicide fludioxonil, and compared to the B05.10 reference strain. The transcriptome of this field strain displayed significant differences as compared to B05.10, including genes involved in sugar membrane transport, toxin production and virulence. Among the induced genes in the field strain, even before exposure to fludioxonil, were several putatively encoding ABC and MFS transmembrane transporters. Overexpression of a highly induced MFS transporter gene in the B05.10 strain led to an increased tolerance to the fungicides fluopyram and boscalid, indicating an involvement in efflux transport of these compounds. Overall, the data from this study give insights towards better understanding the molecular mechanisms involved in MDR and fitness cost, contributing to the development of more efficient control strategies against this pathogen.
Keyphrases
- multidrug resistant
- drug resistant
- gram negative
- acinetobacter baumannii
- escherichia coli
- klebsiella pneumoniae
- genome wide
- single cell
- candida albicans
- physical activity
- body composition
- cell proliferation
- staphylococcus aureus
- high glucose
- pseudomonas aeruginosa
- drug induced
- dna methylation
- transcription factor
- weight gain
- oxidative stress
- risk assessment
- deep learning
- endothelial cells
- copy number
- antimicrobial resistance
- bioinformatics analysis