Editorial: Contribution of omics to our understanding of human-bacterial interplay in health and disease

Résumé

Since their discovery by Antoni van Leeuwenhoek in 1676, bacterial microorganisms have not ceased to amaze by the impact they can have on us. Recent estimates bring their census to nearly one trillion species [1] with genomic diversity that far surpasses the combined diversity of archaea and eukaryotes [2]. Indeed, bacterial organisms have evolved on our planet for over 3.5 billion years and have adapted to even the most extreme environments (e.g. deep sea trenches, polar regions, hyperacidic lakes, deserts) [3]. In this time, they have developed phenomenal adaptations to survive, including the ability to promote their survival within a host as parasites and commensals. Consequently, our health depends on the many bacteria that make up our various microbiomes, but also on pathogenic or opportunistic bacteria. Their epidemiological, socio-economic and politico-historical importance has only been truly appreciated during the last 150 years, for example with the ongoing development of bacterial multi-drug resistance, or for the benefits provided by a healthy microbiota. In the past 30 years, omic approaches have greatly enhanced our understanding of biological systems [4]. However, there is still a lack of literature on bacterial organisms despite their significance (i.e. pathogenic bacteria, host-pathogen interactions, and microbiota). Thus, this research topic aimed to highlight the role of omics in comprehending bacterial systems and their interactions with humans.In this context, Holmes and colleagues (Holmes 2020) discussed the transmission dynamics of a hypervirulent Neisseria meningitidis serogroup W ST-11 clone in a student population with an 11-fold increase in carriage. The study used whole-genome sequencing and bioinformatic analysis to identify clusters associated with residential halls and determine transmission rates. Effective contacts and immunity levels were found to be important factors in the spread of the disease, while genomic variability was not as significant. Super-spreaders were also found to enhance transmission and a 70% immunization level with Meningitis ACWY vaccine was deemed sufficient to retard, but not fully prevent, meningococcal spread in close-contact populations. Balamurugan and colleagues (Balamurugan 2022) studied the genetic diversity of Mycobacterium tuberculosis var. africanum (Maf) in West Africa using whole-genome sequencing and single nucleotide polymorphisms (SNPs). The study identified two lineages of Maf, L5 and L6, using region of difference (RD) based methods, and it used SNPs to identify sub-lineages within these. Specific SNPs were identified as biomarkers and used for validation. The study suggests that cluster-specific SNPs could be used as additional markers for Maf delineation and could provide insights into the genotype-phenotype correlation and endemicity of Maf in the African population. Liu and co-workers (Liu 2022) investigated target genes against Streptococcus gordonii that are found in S. mutans, a pathogen responsible for dental caries. The study used 80 clinical isolates of S. mutans and identified 33 genes positively correlated and 61 genes negatively correlated with S. mutans against S. gordonii. RNA-sequencing and qRT-PCR were used to identify critical gene clusters against S. gordonii in S. mutans clinical isolates. In the study of Hardouin and colleagues (Hardouin 2022), the microbial components of spontaneous and induced sputum samples from three cystic fibrosis (CF) patients were compared using tandem mass spectrometrybased proteotyping. The study found no significant difference in microorganism abundance between paired spontaneous and induced sputum samples and observed microbial proteins linked to resistance, iron uptake, and biofilm-forming ability in sputa. This method could be highly complementary to culture for clinical management of CF patients, improving knowledge about the host-pathogen dynamics and CF pathophysiology. Zhang and co-workers (Zhang 2022) reported on a multidrug-resistant strain of Stenotrophomonas acidaminiphila, a relatively rare bacteria, isolated from a sepsis patient. The genome of the strain was sequenced and compared with six closely related strains, revealing strain-level diversity and identifying unique genes important for pathogenesis. The strain was found to be resistant to several antibiotics, with specific antibiotic resistance genes responsible for multidrug resistance. The study provides insight into the relationship between the strain's phenotype and genotype, and potential therapeutic strategies for infections.In this special issue, a large diversity of bacterial organisms were studied. These were isolated from different colonisation sites (e.g. dental, sputum, brain) where they caused a variety of pathologies (e.g. sepsis, meningitis, dental caries). The use of genomics, transcriptomics, or proteomics approaches allowed the interrogation of these complex systems. The authors were able to identify biomarkers of pathogenicity or antibiotic-resistance, as well as identify genes of interest during bacterial competition. Beyond these specific conclusions, the data generated within these studies will feed into the pool of scientific knowledge and contribute to a larger understanding of bacteria.

Citer ce document

Accès au document

Ce document est hébergé sur son dépôt institutionnel d'origine.

Auteur(s)

Statistiques

Consultations : 1

Téléchargements : 0