Recent Advances in Antimicrobial Resistance: Insights from <i>Escherichia coli</i> as a Model Organism
Antimicrobial resistance (AMR) represents a critical global health threat, and a thorough understanding of resistance mechanisms in <i>Escherichia coli</i> is needed to guide effective treatment interventions. This review explores recent advances for investigating AMR in <i>E. coli...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Microorganisms |
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| Online Access: | https://www.mdpi.com/2076-2607/13/1/51 |
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| author | Zhaoyang Zhang Minliang Wei Bin Jia Yingjin Yuan |
| author_facet | Zhaoyang Zhang Minliang Wei Bin Jia Yingjin Yuan |
| author_sort | Zhaoyang Zhang |
| collection | DOAJ |
| description | Antimicrobial resistance (AMR) represents a critical global health threat, and a thorough understanding of resistance mechanisms in <i>Escherichia coli</i> is needed to guide effective treatment interventions. This review explores recent advances for investigating AMR in <i>E. coli</i>, including machine learning for resistance pattern analysis, laboratory evolution to generate resistant mutants, mutant library construction, and genome sequencing for in-depth characterization. Key resistance mechanisms are discussed, including drug inactivation, target modification, altered transport, and metabolic adaptation. Additionally, we highlight strategies to mitigate the spread of AMR, such as dynamic resistance monitoring, innovative therapies like phage therapy and CRISPR-Cas technology, and tighter regulation of antibiotic use in animal production systems. This review provides actionable insights into <i>E. coli</i> resistance mechanisms and identifies promising directions for future antibiotic development and AMR management. |
| format | Article |
| id | doaj-art-b12e35292f6542178a0a68c21237c0da |
| institution | Kabale University |
| issn | 2076-2607 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Microorganisms |
| spelling | doaj-art-b12e35292f6542178a0a68c21237c0da2025-01-24T13:42:26ZengMDPI AGMicroorganisms2076-26072024-12-011315110.3390/microorganisms13010051Recent Advances in Antimicrobial Resistance: Insights from <i>Escherichia coli</i> as a Model OrganismZhaoyang Zhang0Minliang Wei1Bin Jia2Yingjin Yuan3Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, ChinaFrontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, ChinaFrontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, ChinaFrontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, ChinaAntimicrobial resistance (AMR) represents a critical global health threat, and a thorough understanding of resistance mechanisms in <i>Escherichia coli</i> is needed to guide effective treatment interventions. This review explores recent advances for investigating AMR in <i>E. coli</i>, including machine learning for resistance pattern analysis, laboratory evolution to generate resistant mutants, mutant library construction, and genome sequencing for in-depth characterization. Key resistance mechanisms are discussed, including drug inactivation, target modification, altered transport, and metabolic adaptation. Additionally, we highlight strategies to mitigate the spread of AMR, such as dynamic resistance monitoring, innovative therapies like phage therapy and CRISPR-Cas technology, and tighter regulation of antibiotic use in animal production systems. This review provides actionable insights into <i>E. coli</i> resistance mechanisms and identifies promising directions for future antibiotic development and AMR management.https://www.mdpi.com/2076-2607/13/1/51antimicrobial resistancemachine learning<i>Escherichia coli</i>synthetic biologyAMR prevention |
| spellingShingle | Zhaoyang Zhang Minliang Wei Bin Jia Yingjin Yuan Recent Advances in Antimicrobial Resistance: Insights from <i>Escherichia coli</i> as a Model Organism Microorganisms antimicrobial resistance machine learning <i>Escherichia coli</i> synthetic biology AMR prevention |
| title | Recent Advances in Antimicrobial Resistance: Insights from <i>Escherichia coli</i> as a Model Organism |
| title_full | Recent Advances in Antimicrobial Resistance: Insights from <i>Escherichia coli</i> as a Model Organism |
| title_fullStr | Recent Advances in Antimicrobial Resistance: Insights from <i>Escherichia coli</i> as a Model Organism |
| title_full_unstemmed | Recent Advances in Antimicrobial Resistance: Insights from <i>Escherichia coli</i> as a Model Organism |
| title_short | Recent Advances in Antimicrobial Resistance: Insights from <i>Escherichia coli</i> as a Model Organism |
| title_sort | recent advances in antimicrobial resistance insights from i escherichia coli i as a model organism |
| topic | antimicrobial resistance machine learning <i>Escherichia coli</i> synthetic biology AMR prevention |
| url | https://www.mdpi.com/2076-2607/13/1/51 |
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