The Spread of Antibiotic Resistance in Natural Environments
A special issue of Antibiotics (ISSN 2079-6382). This special issue belongs to the section "Mechanism and Evolution of Antibiotic Resistance".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 2871
Special Issue Editor
2. Antimicrobial Research Unit, College of Health Sciences, University of KwaZuluNatal, Durban 4000, South Africa
Interests: antimicrobial resistance; molecular genetics; one-health genomics; pathogenomics; applied bioinformatics; machine learning analytics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the ongoing exploration of antibiotic resistance dynamics, there is a growing need to decipher the intricate pathways through which resistance spreads in the natural environment.
Antibiotic resistance, a complex phenomenon influenced by genetic factors such as plasmids, transposons and other mobile elements, presents a multifaceted challenge. The variability in resistance genes and their responses to environmental pressures remain an area of intense study. While the impact of diverse ecological niches on the dissemination of antibiotic resistance is evident, a comprehensive understanding of the underlying mechanisms is still limited. Investigating the genomic changes and adaptation strategies employed by microorganisms in diverse ecosystems is crucial to shed light on the spread of antibiotic resistance.
This Special Issue aims to provide a platform for a comprehensive exploration of the genetic foundations and environmental dynamics of antibiotic resistance, particularly focusing on the dissemination of resistance elements in natural ecosystems.
Dr. Daniel Gyamfi Amoako
Guest Editor
Manuscript Submission Information
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Keywords
- antibiotic resistance dissemination
- antibiotic pollution
- environmental adaptation
- mobile genetic elements
- ecological impact
- environmental microbiome
- resistance gene transfer
- resistance hotspot
- genomic landscape
- One Health approach
- emerging contaminants
- bioinformatics in environmental genomics
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