Omics of Bacterial Pathogens Applied to Antibiotic Resistance: A One Health and Host-Pathogen Interaction Approach

Dear Colleagues,

Since the advent of next-generation sequencing technologies, the number of genome projects created at genome online databases has increased exponentially, especially bacterial genomes. The high interest in these organisms is mainly due to their ubiquitous nature and their use in industry, agriculture, research, and many other areas. In this scenario, pathogenic bacteria deserve attention due to medical and veterinary importance and are now being highly explored in one health approaches. There are several applications of omics technologies, such as genomics, transcriptomics, proteomics, metabolomics, and others, which may prove very useful in pangenomics, phylogenomics, whole-genome multi-locus sequence typing, reverse vaccinology, subtractive genomics, genome plasticity (focused on pathogenicity and resistance islands), protein–protein interaction, and metabolic pathway prediction. Additionally, those approaches are being constantly explored using several artificial intelligence strategies, such as machine learning. This Special Issue seeks manuscript submissions that further our understanding of host–pathogen interaction, including, but not limited to, the identification of virulence factors and resistance-related genes in pathogenicity and resistance islands in pangenomics approaches, the identification of new vaccine and drug targets using reverse vaccinology and subtractive genomics to circumvent the increasing problem of multi-drug resistance, and protein–protein interaction and metabolic pathway prediction together with analyses of biofilm formation. Submissions on one health, genomic islands, and pangenomics approaches mainly focused on antibiotic resistance are especially encouraged.

Prof. Dr. Siomar De Castro Soares
Prof. Dr. Vasco Ariston De Carvalho Azevedo
Dr. Sandeep Tiwari
Dr. Arun Kumar Jaiswal
Dr. Flávia Figueira Aburjaile
Guest Editors

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