Project description:To investigate the subspecies level differences in the expression profiles of Streptococcus salivarius strains, we conducted the RNA sequencing analysis of Streptococcus salivarius strains.
Project description:The Type VI Secretion System (T6SS) in bacteria is a versatile mechanism that facilitates protein transport into neighboring cells and can act as an antibacterial weapon by eliminating competing organisms in the vicinity. The objective of this study was to characterize the T6SS in Aggregatibacter aphrophilus and assess its antimicrobial capabilities through competition with Aggregatibacter actinomycetemcomitans in a multispecies biofilm. The proteomic analysis consisted of two parts, referred to as monospecies biofilm and multispecies biofilms, respectively. Initially, we examined the protein profiles of monospecies biofilms formed by two strains of Aggregatibacter aphrophilus, namely HK83 and CCUG 11575, along with their Hcp mutant derivatives (Hcp being a core protein for T6SS). Each strain was analyzed with six replicates (n=4 for HK83, HK83 hcp, CCUG 11575, and CCUG 11575 hcp). Subsequently, the HK83 and CCUG 11575 strains, as well as their Hcp mutant derivatives, were individually introduced into a multispecies biofilm. This multispecies biofilm consisted of seven species, namely A. actinomycetemcomitans JP2 strain (OMZ 295), Actinomyces oris (OMZ 745), Candida albicans (OMZ 110), Fusobacterium nucleatum subsp. nucleatum KP-F2 (OMZ 598), Streptococcus oralis SK248 (OMZ 607), Streptococcus mutans UA159 (OMZ 918), and Veillonella dispar ATCC 17748T (OMZ 493). These species were selected to mimic the natural co-habitat of A. aphrophilus and A. actinomycetemcomitans. Furthermore, control 7-species biofilms with A. aphrophilus strains HK83, HK83 hcp, CCUG 11575, and CCUG 11575 hcp (n=4 each) underwent proteomic analysis to gain insights into the protein expression and potential interactions within the biofilm community.
2024-05-24 | PXD042723 | Pride
Project description:Efficacy of the probiotic SALI-10 in modulating multispecies biofilm grown in the lab derived from human saliva in presence of sorbitol
Project description:The influence of cranberry proanthocyanidins on the transcriptomic responses of Streptococcus mutans during biofilm formation was investigated. Treatment regimens simulating topical exposures experienced clinically (twice-daily, 60 s each) were used over saliva-coated hydroxyapatite biofilm model. Cranberry proanthocyanidins (1.5 mg/ml) in 15% ethanol was used to treat the biofilms. Four biological replicates each for the treatment and vehicle control were used for RNA extraction and microarray.
Project description:NIP and NrpR forms a pair for the transcriptional regulator in Streptococcus salivarius K12 (SAL). To explore the target genes regulated by the NIP-NrpR pair in Streptococcus salivarius K12 (SAL), we generated mutants in which the NIP or NrpR gene has been knocked down through complement recombination. Comparative transcriptome profiling of WT, ▲nrpR, and nip* mutant strains revealed that the sar BGC is the major regulatory target controlled by the NIP signaling pathway in SAL.
Project description:The manufacturing processes of commercial probiotic strains may be affected in different ways in the attempt to optimize yield, costs, functionality, or stability, influencing gene expression, protein patterns, or metabolic output. Aim of this work was to compare different samples of a high concentration (450 billion bacteria) multispecies (8 strains) formulation produced at two different manufacturing sites, USA (US) and Italy (IT), by applying functional proteomics analyses. Several protein-profile differences were detected between IT- and US-made products, with Lactobacillus paracasei, Streptococcus thermophilus, and Bifidobacteria being the main affected probiotics/microorganisms. Integration of omics platforms with in vivo analysis emerged as a powerful tool to assess manufacturing procedures.
Project description:Chlorhexidine (CHX) is a widely used antiseptic agent in dental care due to its broad-spectrum antimicrobial properties. This study focuses on the transcriptomic changes associated with chlorhexidine adaptation in oral Streptococcus salivarius (73_wt, 73_a), Streptococcus vestibularis (78_wt, 78_e), and Streptococcus mitis (93_wt, 93_d) using RNA sequencing.
Project description:Background Alterations of the gut microbiome have been linked to multiple chronic diseases. However, the drivers of such changes remain largely unknown. The oral cavity acts as a major route of exposure to exogenous factors including pathogens, and processes therein may affect the communities in the subsequent compartments of the gastrointestinal tract. Here, we perform strain-resolved, integrated multi-omic analyses of saliva and stool samples collected from eight families with multiple cases of type 1 diabetes mellitus (T1DM). Results We identified distinct oral microbiota mostly reflecting competition between streptococcal species. More specifically, we found a decreased abundance of the commensal Streptococcus salivarius in the oral cavity of T1DM individuals, which is linked to its apparent competition with the pathobiont Streptococcus mutans. The decrease in S. salivarius in the oral cavity was also associated with its decrease in the gut as well as higher abundances in facultative anaerobes including Enterobacteria. In addition, we found evidence of gut inflammation in T1DM as reflected in the expression profiles of the Enterobacteria as well as in the human gut proteome. Finally, we were able to follow transmitted strain-variants from the oral cavity to the gut at the metagenomic, metatranscriptomic and metaproteomic levels, highlighting not only the transfer, but also the activity of the transmitted taxa along the gastrointestinal tract. Conclusions Alterations of the oral microbiome in the context of T1DM impact the microbial communities in the lower gut, in particular through the reduction of “oral-to-gut” transfer of Streptococcus salivarius. Our results indicate that the observed oral-cavity-driven gut microbiome changes may contribute towards the inflammatory processes involved in T1DM. Through the integration of multi-omic analyses, we resolve strain-variant “mouth-to-gut” transfer in a disease context.