Drivers of virulence and antimicrobial resistance in Gram-negative bacteria in different settings: A genomic perspective

The human gut presents a complex ecosystem harboring trillions of microorganisms living in close association with each other and the host body. Any perturbation or imbalance of the normal gut microbiota may prove detrimental to human health. Enteric infections and treatment with antibiotics pose maj...

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Published in:Infection, genetics and evolution genetics and evolution, 2024-10, Vol.124, p.105666, Article 105666
Main Authors: Singh, Anuradha, Rani, Pittu Sandhya, Bandsode, Viraj, Nyambero, Mahanga, Qumar, Shamsul, Ahmed, Niyaz
Format: Article
Language:English
Subjects:
Antimicrobial resistance
Genomics
Gram-negative
Machine learning
Virulence
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Summary:The human gut presents a complex ecosystem harboring trillions of microorganisms living in close association with each other and the host body. Any perturbation or imbalance of the normal gut microbiota may prove detrimental to human health. Enteric infections and treatment with antibiotics pose major threats to gut microbiota health. Recent genomics-driven research has provided insights into the transmission and evolutionary dynamics of major enteric pathogens such as Escherichia coli, Klebsiella pneumoniae, Vibrio cholerae, Helicobacter pylori and Salmonella spp. Studies entailing the identification of various dominant lineages of some of these organisms based on artificial intelligence and machine learning point to the possibility of a system for prediction of antimicrobial resistance (AMR) as some lineages have a higher propensity to acquire virulence and fitness advantages. This is pertinent in the light of emerging AMR being one of the immediate threats posed by pathogenic bacteria in the form of a multi-layered fitness manifesting as phenotypic drug resistance at the level of clinics and field settings. To develop a holistic or systems-level understanding of such devastating traits, present methodologies need to be advanced with the high throughput techniques integrating community and ecosystem/niche level data across different omics platforms. The next major challenge for public health epidemiologists is understanding the interactions and functioning of these pathogens at the community level, both in the gut and outside. This would provide new insights into the dimensions of enteric bacteria in different environments and niches and would have a plausible impact on infection control strategies in terms of tackling AMR. Hence, the aim of this review is to discuss virulence and AMR in Gram-negative pathogens, the spillover of AMR and methodological advancements aimed at addressing it through a unified One Health framework applicable to the farms, the environment, different clinical settings and the human gut. •Genomics of pathogenic bacteria.•Epidemiology.•Urban Slum Health.•Environmental monitoring for antimicrobial resistance.
ISSN:1567-1348
1567-7257
1567-7257
DOI:10.1016/j.meegid.2024.105666