Conjugation Dynamics of Self-Transmissible and Mobilisable Plasmids into E. coli O157:H7 on Arabidopsis thaliana Rosettes.
Mitja N P Remus-EmsermannDavid AicherCosima PelludatPascal GislerDavid DrissnerPublished in: Antibiotics (Basel, Switzerland) (2021)
Many antibiotic resistance genes present in human pathogenic bacteria are believed to originate from environmental bacteria. Conjugation of antibiotic resistance conferring plasmids is considered to be one of the major reasons for the increasing prevalence of antibiotic resistances. A hotspot for plasmid-based horizontal gene transfer is the phyllosphere, i.e., the surfaces of aboveground plant parts. Bacteria in the phyllosphere might serve as intermediate hosts with transfer capability to human pathogenic bacteria. In this study, the exchange of mobilisable and self-transmissible plasmids via conjugation was evaluated. The conjugation from the laboratory strain Escherichia coli S17-1, the model phyllosphere coloniser Pantoea eucalypti 299R, and the model pathogen E. coli O157:H7 to the recipient strain E. coli O157:H7::MRE103 (EcO157:H7red) in the phyllosphere of Arabidopsis thaliana was determined. The results suggest that short-term occurrence of a competent donor is sufficient to fix plasmids in a recipient population of E. coli O157:H7red. The spread of self-transmissible plasmids was limited after initial steep increases of transconjugants that contributed up to 10% of the total recipient population. The here-presented data of plasmid transfer will be important for future modelling approaches to estimate environmental spread of antibiotic resistance in agricultural production environments.
Keyphrases
- escherichia coli
- arabidopsis thaliana
- endothelial cells
- biofilm formation
- klebsiella pneumoniae
- antibiotic resistance genes
- risk assessment
- human health
- induced pluripotent stem cells
- wastewater treatment
- genome wide
- climate change
- dna methylation
- anaerobic digestion
- candida albicans
- transcription factor
- multidrug resistant
- electron transfer
- artificial intelligence