From pangenome to panphenome and back

Phage treatment of Pseudomonas aeruginosa yields a phage-resistant population with different susceptibility to innate immune responses and mild effects on metabolic profiles

In this study, we have investigated innate immune activation capacity and metabolic features of a population of P. aeruginosa PAO1 phage-resistant mutants with diverse genetic modification (large genomic deletions and point mutations) arising after exposure to phages targetting lipopolysaccharide (LPS) or Type-4 pili (T4P). Deletions led to the loss of genes involved in LPS synthesis, cell envelope permeability, efflux systems, biofilm production, oxidative stress tolerance, and DNA repair. Loss of LPS O antigen resulted in bacterial sensitivity to serum complement and stimulation of inflammatory cascades but did not cause increased phagocytosis, while T4P phage-resistant mutants were more effectively phagocytized than LPS-defective mutants. Changes in the utilization of different carbon, nitrogen, sulphur, and phosphorus sources were identified, especially in mutants where the two phage DNA persisted in the bacterial population (pseudolysogeny). However, the metabolic changes did not directly correlate with single-gene mutations or the large gene deletions, suggesting they reflect adaptive changes to the gene modifications that arise during the selection of resistant mutants. In contrast, phage-resistant mutants were susceptible to humoral innate immune responses, suggesting that phage resistance may be a beneficial outcome of phage therapy.

Microbial high throughput phenomics: The potential of an irreplaceable omics

The phenotype-genotype landscape is a projection coming from detailed phenotypic and genotypic data under environmental pressure. Although phenome of microbes or microbial consortia mirrors the functional expression of a genome or set of genomes, metabolic traits rely on the phenotype. Phenomics has the potential to revolution functional genomics. In this review, we discuss why and how phenomics was developed. We described how phenomics may extend our understanding of the assembly of microbial consortia and their functionality, and then we outlined the novel applications within the study of phenomes using Omnilog platform together with a revision of its current application to study lactic acid bacteria (LAB) metabolic traits during food processing. LAB were proposed as a suitable model system to analyze and discuss the implementation and exploitation of this emerging omics approach. We introduced the 'phenotype switching', as a new phenotype microarray approach to get insights in bacterial physiology. An overview of methodologies and tools to manage and analyze the generated data was provided. Finally, pro and cons of pipelines developed so far, including the most innovative ones were critically analyzed. We propose an R pipeline, recently deposited, which allows to automatically analyze Omnilog data integrating the latest approaches and implementing the new concepts described here.

Microbial bioinformatics for food safety and production

In the production of fermented foods, microbes play an important role. Optimization of fermentation processes or starter culture production traditionally was a trial-and-error approach inspired by expert knowledge of the fermentation process. Current developments in high-throughput 'omics' technologies allow developing more rational approaches to improve fermentation processes both from the food functionality as well as from the food safety perspective. Here, the authors thematically review typical bioinformatics techniques and approaches to improve various aspects of the microbial production of fermented food products and food safety.