Advances in Microbial Genomics in the AMR Field

A special issue of Microorganisms (ISSN 2076-2607). This special issue belongs to the section "Antimicrobial Agents and Resistance".

Deadline for manuscript submissions: 28 February 2026 | Viewed by 339

Special Issue Editors


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Guest Editor
Coordinación de Tecnología en Alimentos de Origen Vegetal, Centro de Investigación en Alimentación y Desarrollo, A.C. (CIAD), Carretera Gustavo Enrique Astiazarán Rosas, No. 46, Col. La Victoria, Hermosillo C.P. 83304, Sonora, Mexico
Interests: RNA-seq; fungal defense response; antifungal activity compounds
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Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Sinaloa, Calle de las Américas y Josefa Ortiz de Domínguez, Culiacán C.P. 80013, Sinaloa, Mexico
Interests: microbial genomics; antimicrobial resistance; molecular microbiology

Special Issue Information

Dear Colleagues,

The global dissemination of antimicrobial resistance (AMR) is among the most serious challenges to public health, food production, and ecological integrity. In recent years, the integration of microbial genomics and high-throughput sequencing has transformed our ability to detect, monitor, and predict resistance patterns across ecosystems. Genomic sciences are rapidly enhancing our understanding of microbial resistance mechanisms, the evolution of AMR in pathogens, and the emergence of novel resistance pathways under selective pressure. Additionally, advances in bioinformatics, artificial intelligence, and functional genomics are providing new opportunities for targeted intervention and therapeutic innovation. Phage therapy, CRISPR-based tools, and genome-informed surveillance strategies represent promising alternatives to conventional antibiotics. At the same time, international collaborative platforms and databases are enabling real-time global monitoring and data sharing, representing key elements for effective AMR control under a One Health approach. Despite these advances, gaps remain in translating genomic data into actionable insights, especially in low-resource settings, where AMR surveillance is often limited.

This Special Issue of Microorganisms aims to gather original research and review articles that present recent advances in the genomics of antimicrobial resistance (AMR), including novel approaches for its study, monitoring, and control. We welcome contributions that explore new technologies, analytical methods, and applications of microbial genomic data across clinical, agricultural, and environmental contexts.

The scope of this Special Issue includes, but is not limited to, innovations in AMR surveillance, the application of CRISPR technologies and phages in AMR control, AI-based genomic analysis, the development of global platforms and databases for AMR research, and international collaborative strategies aligned with the One Health framework.

Prof. Dr. Rosalba Troncoso-Rojas
Guest Editor

Dr. María Elena Báez-Flores
Guest Editor Assistant

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Keywords

  • antimicrobial resistance (AMR)
  • microbial genomics
  • AMR genomic surveillance
  • CRISPR-Cas systems and AMR
  • phage therapy in AMR
  • One Health framework and AMR
  • artificial intelligence in AMR
  • AMR monitoring tools
  • machine learning in AMR
  • bioinformatics for AMR study

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Published Papers (1 paper)

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Research

14 pages, 2424 KB  
Article
Genomic Insights into Antimicrobial Resistance and Virulence of Monophasic Salmonella enterica I 4,[5],12:i:- Isolates from Clinical and Environmental Sources in Jeollanam-do, Korea
by Eunbyeul Go, Bo Ra Kang, Hye Young Na, Hyung Woo Lim, Hye Lin Yang, Mi Young Shin, Yang Joon An, Sook Park and Ki-Bok Yoon
Microorganisms 2025, 13(12), 2729; https://doi.org/10.3390/microorganisms13122729 - 29 Nov 2025
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Abstract
This study investigated the molecular epidemiology, virulence, antimicrobial resistance, and mobile genetic elements (MGEs) of Salmonella enterica serovar I 4,[5],12:i:- isolates collected in Jeollanam-do, South Korea, between 2021 and 2023. A total of 135 isolates were tested for antimicrobial susceptibility and 14 virulence-associated [...] Read more.
This study investigated the molecular epidemiology, virulence, antimicrobial resistance, and mobile genetic elements (MGEs) of Salmonella enterica serovar I 4,[5],12:i:- isolates collected in Jeollanam-do, South Korea, between 2021 and 2023. A total of 135 isolates were tested for antimicrobial susceptibility and 14 virulence-associated genes were screened by PCR. Pulsed-field gel electrophoresis (PFGE) assessed clonal relatedness, and whole-genome sequencing (WGS) enabled multilocus sequence typing (MLST), core genome MLST (cgMLST), SNP phylogeny, resistance gene detection, and MGE analysis. Nine virulence profiles (VP1–VP9) were identified. VP1 (74.1%) was strongly associated with multidrug resistance (MDR), while VP2 (14.8%), which carried plasmid-encoded spv genes, remained largely susceptible. Overall, 83.7% of isolates were resistant to at least one antimicrobial, and 65.2% were MDR, with ampicillin and tetracycline consistently forming the backbone of MDR phenotypes. PFGE revealed high genetic diversity, with 72 pulsotypes, yet certain clones (e.g., SMOX01.006, SMOX01.012) were widely distributed and corresponded to VP2 isolates. WGS confirmed two dominant sequence types, ST34 (n = 24) and ST19 (n = 20), with SNP phylogeny showing VP1 isolates mainly clustered with ST34 and VP2 with ST19. Genotype–phenotype concordance showed strong agreement for most antimicrobials, except cefoxitin, ciprofloxacin, amikacin, and trimethoprim/sulfamethoxazole. MGE analysis revealed that tet(B) was consistently associated with ISVsa5, while ISEc59 was linked to multiple resistance genes, though only aac(3)-IV was phenotypically expressed. These findings demonstrate that MDR and virulence gene composition were closely associated with clonal clustering and that MGEs may contribute to resistance gene expression. This study provides a basis for understanding the dissemination of resistant and virulent Salmonella in the region and underscores the need for continuous genomic surveillance. Full article
(This article belongs to the Special Issue Advances in Microbial Genomics in the AMR Field)
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