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Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
Published on: May 8, 2013
Stable antibiotic resistance and rapid human adaptation in livestock-associated MRSA
Marta Matuszewska1, Gemma G R Murray1, Xiaoliang Ba1
1Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
Abstract:
Mobile genetic elements (MGEs) are agents of horizontal gene transfer in bacteria, but can also be vertically inherited by daughter cells. Establishing the dynamics that led to contemporary patterns of MGEs in bacterial genomes is central to predicting the emergence and evolution of novel and resistant pathogens. Methicillin-resistant Staphylococcus aureus (MRSA) clonal-complex (CC) 398 is the dominant MRSA in European livestock and a growing cause of human infections. Previous studies have identified three categories of MGEs whose presence or absence distinguishes livestock-associated CC398 from a closely related and less antibiotic-resistant human-associated population. Here, we fully characterise the evolutionary dynamics of these MGEs using a collection of 1180 CC398 genomes, sampled from livestock and humans, over 27 years. We find that the emergence of livestock-associated CC398 coincided with the acquisition of a Tn916 transposon carrying a tetracycline resistance gene, which has been stably inherited for 57 years. This was followed by the acquisition of a type V SCCmec that carries methicillin, tetracycline, and heavy metal resistance genes, which has been maintained for 35 years, with occasional truncations and replacements with type IV SCCmec. In contrast, a class of prophages that carry a human immune evasion gene cluster and that are largely absent from livestock-associated CC398 have been repeatedly gained and lost in both human- and livestock-associated CC398. These contrasting dynamics mean that when livestock-associated MRSA is transmitted to humans, adaptation to the human host outpaces loss of antibiotic resistance. In addition, the stable inheritance of resistance-associated MGEs suggests that the impact of ongoing reductions in antibiotic and zinc oxide use in European farms on livestock-associated MRSA will be slow to be realised.
Insights
Mobile genetic elements (MGEs) drive bacterial evolution. Livestock-associated MRSA stably inherited resistance genes, impacting adaptation to human hosts and slowing resistance loss despite reduced farm antibiotic use.
Area of Science:
- Microbiology
- Genomics
- Evolutionary Biology
Background:
- Mobile genetic elements (MGEs) influence bacterial adaptation and pathogen evolution.
- Methicillin-resistant Staphylococcus aureus (MRSA) clonal-complex (CC) 398 is prevalent in livestock and increasingly causes human infections.
- Distinct MGE profiles differentiate livestock-associated CC398 from human-associated strains.
Purpose of the Study:
- To characterize the evolutionary dynamics of MGEs in MRSA CC398 over 27 years.
- To understand how MGE acquisition and loss shape MRSA adaptation and antibiotic resistance.
- To predict the future trajectory of livestock-associated MRSA in response to changing agricultural practices.
Main Methods:
- Genomic analysis of 1180 MRSA CC398 isolates from livestock and humans.
- Phylogenetic analysis to track MGE inheritance and loss over time.
- Comparative genomics to identify MGEs associated with specific CC398 lineages.
Main Results:
- Livestock-associated CC398 acquired a stable Tn916 transposon conferring tetracycline resistance 57 years ago.
- A type V SCCmec element with methicillin, tetracycline, and heavy metal resistance genes was acquired 35 years ago, with occasional replacements.
- Prophages with human immune evasion genes were repeatedly gained and lost, contrasting with stable resistance-associated MGEs.
Conclusions:
- Adaptation to the human host outpaces MGE loss during livestock-associated MRSA transmission.
- Stable inheritance of resistance genes suggests a slow realization of reduced antibiotic/zinc oxide use impact on MRSA.
- Understanding MGE dynamics is crucial for predicting pathogen evolution and managing antimicrobial resistance.
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