Current Uses and Future Perspectives of Genomic Technologies in Clinical Microbiology
Recent advancements in sequencing technology and data analytics have led to a transformative era in pathogen detection and typing. These developments not only expedite the process, but also render it more cost-effective. Genomic analyses of infectious diseases are swiftly becoming the standard for p...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Antibiotics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-6382/12/11/1580 |
| _version_ | 1827640812524011520 |
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| author | Irene Bianconi Richard Aschbacher Elisabetta Pagani |
| author_facet | Irene Bianconi Richard Aschbacher Elisabetta Pagani |
| author_sort | Irene Bianconi |
| collection | DOAJ |
| description | Recent advancements in sequencing technology and data analytics have led to a transformative era in pathogen detection and typing. These developments not only expedite the process, but also render it more cost-effective. Genomic analyses of infectious diseases are swiftly becoming the standard for pathogen analysis and control. Additionally, national surveillance systems can derive substantial benefits from genomic data, as they offer profound insights into pathogen epidemiology and the emergence of antimicrobial-resistant strains. Antimicrobial resistance (AMR) is a pressing global public health issue. While clinical laboratories have traditionally relied on culture-based antimicrobial susceptibility testing, the integration of genomic data into AMR analysis holds immense promise. Genomic-based AMR data can furnish swift, consistent, and highly accurate predictions of resistance phenotypes for specific strains or populations, all while contributing invaluable insights for surveillance. Moreover, genome sequencing assumes a pivotal role in the investigation of hospital outbreaks. It aids in the identification of infection sources, unveils genetic connections among isolates, and informs strategies for infection control. The One Health initiative, with its focus on the intricate interconnectedness of humans, animals, and the environment, seeks to develop comprehensive approaches for disease surveillance, control, and prevention. When integrated with epidemiological data from surveillance systems, genomic data can forecast the expansion of bacterial populations and species transmissions. Consequently, this provides profound insights into the evolution and genetic relationships of AMR in pathogens, hosts, and the environment. |
| first_indexed | 2024-03-09T17:05:45Z |
| format | Article |
| id | doaj.art-b8762eae6bf141fdae122c36652cd561 |
| institution | Directory Open Access Journal |
| issn | 2079-6382 |
| language | English |
| last_indexed | 2024-03-09T17:05:45Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Antibiotics |
| spelling | doaj.art-b8762eae6bf141fdae122c36652cd5612023-11-24T14:25:11ZengMDPI AGAntibiotics2079-63822023-10-011211158010.3390/antibiotics12111580Current Uses and Future Perspectives of Genomic Technologies in Clinical MicrobiologyIrene Bianconi0Richard Aschbacher1Elisabetta Pagani2Laboratory of Microbiology and Virology, Provincial Hospital of Bolzano (SABES-ASDAA), Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversitätvia Amba Alagi 5, 39100 Bolzano, ItalyLaboratory of Microbiology and Virology, Provincial Hospital of Bolzano (SABES-ASDAA), Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversitätvia Amba Alagi 5, 39100 Bolzano, ItalyLaboratory of Microbiology and Virology, Provincial Hospital of Bolzano (SABES-ASDAA), Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversitätvia Amba Alagi 5, 39100 Bolzano, ItalyRecent advancements in sequencing technology and data analytics have led to a transformative era in pathogen detection and typing. These developments not only expedite the process, but also render it more cost-effective. Genomic analyses of infectious diseases are swiftly becoming the standard for pathogen analysis and control. Additionally, national surveillance systems can derive substantial benefits from genomic data, as they offer profound insights into pathogen epidemiology and the emergence of antimicrobial-resistant strains. Antimicrobial resistance (AMR) is a pressing global public health issue. While clinical laboratories have traditionally relied on culture-based antimicrobial susceptibility testing, the integration of genomic data into AMR analysis holds immense promise. Genomic-based AMR data can furnish swift, consistent, and highly accurate predictions of resistance phenotypes for specific strains or populations, all while contributing invaluable insights for surveillance. Moreover, genome sequencing assumes a pivotal role in the investigation of hospital outbreaks. It aids in the identification of infection sources, unveils genetic connections among isolates, and informs strategies for infection control. The One Health initiative, with its focus on the intricate interconnectedness of humans, animals, and the environment, seeks to develop comprehensive approaches for disease surveillance, control, and prevention. When integrated with epidemiological data from surveillance systems, genomic data can forecast the expansion of bacterial populations and species transmissions. Consequently, this provides profound insights into the evolution and genetic relationships of AMR in pathogens, hosts, and the environment.https://www.mdpi.com/2079-6382/12/11/1580antimicrobial resistancemicrobial genomicsgenome sequencingmetagenomics |
| spellingShingle | Irene Bianconi Richard Aschbacher Elisabetta Pagani Current Uses and Future Perspectives of Genomic Technologies in Clinical Microbiology Antibiotics antimicrobial resistance microbial genomics genome sequencing metagenomics |
| title | Current Uses and Future Perspectives of Genomic Technologies in Clinical Microbiology |
| title_full | Current Uses and Future Perspectives of Genomic Technologies in Clinical Microbiology |
| title_fullStr | Current Uses and Future Perspectives of Genomic Technologies in Clinical Microbiology |
| title_full_unstemmed | Current Uses and Future Perspectives of Genomic Technologies in Clinical Microbiology |
| title_short | Current Uses and Future Perspectives of Genomic Technologies in Clinical Microbiology |
| title_sort | current uses and future perspectives of genomic technologies in clinical microbiology |
| topic | antimicrobial resistance microbial genomics genome sequencing metagenomics |
| url | https://www.mdpi.com/2079-6382/12/11/1580 |
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