Table 1 ‘Omics’ techniques applied in studying probiotic and microbiome interaction.
From: ‘Multi-omics’ data integration: applications in probiotics studies
Tool | Probiotic bacteria | Application | Findings | References |
|---|---|---|---|---|
Whole-genome sequencing | Limosilactobacillus reuteri PNW1 | Determination of probiotic potential | • Genes encoding D and L-lactate dehydrogenases. • Genes responsible for adhesion to epithelial tissues, including antiadhesion Pls, Sortase A, exopolysaccharide cluster, • Genes encoding bioactive peptides (S-ribosyl homocysteine lyase, Autoinducer-2 production protein LuxS • Four coding regions associated with enhancing host metabolism and enzymes such as Poly (glycerol-phosphate) alpha-glucosyltransferase. | |
Metagenomics (Sequencing of V3-V4 region of the bacterial 16S rRNA) | Lactobacillus rhamnosus, Enterococcus faecalis | Determination of the effects of direct-fed microbes on the rumen microbiome of goats | • Showed the influence of direct-fed Lactic acid bacteria on the microbiota in goats | |
Metagenomics (Sequencing of V3-V4 region of the bacterial 16S rRNA) | L. rhamnosus PT9, L. rhamnosus PT10 | Determination of the effects of direct-fed microbes on the rumen microbiome of sheep | • Revealed the effects of the lactic acid bacterial administration on the ruminal microbiome of sheep | |
Metagenomics (Sequencing of V3-V4 region of the bacterial 16S rRNA) | Saccharomyces cerevisiae boulardii CNCM I-1079 Lactobacillus acidophilus BT1386 | Determination of the effects of directly fed microbes on calves’ ruminal microbiome | • Decreased in pathogenic and increased in beneficial bacterial populations, respectively. • Impacts on pathways include cell cycle, bile secretion, proteasome, cAMP signaling, thyroid hormone synthesis, and dopaminergic synapse pathways. | |
Transkingdom network analysis | Lactobacillus johnsonii and Lactobacillus gasseri) | Determination of probiotics on the liver functions | • Attenuation of western diet-induced diabetes through the improvement of lipid metabolism and enhanced mitochondrial health. | |
Transcriptomics | Lactiplantibacillus plantarum LIP-1 | Determination of Lactiplantibacillus plantarum LIP-1 responses to different Ph | • Unraveled the microbe’s responses and enhanced the means to improve survival in a lyophilized state. | |
Transcriptomics | Bifidobacterium breve UCC2003 | Influence of B. breve UCC2003 on the intestinal barrier | • Described the functions of B. breve UCC2003 in intestinal epithelial homeostasis during early life in neonatal murine intestinal cells. | |
Metatranscriptomics | yeasts and Lactobacillus species | The interplay of the microbes during the fermentation of | • Revealed the role of the probiotic microbes in pyruvate metabolism | |
Metatranscriptomics | Oral microbiota | Interactions of the oral microbiome in biofilm biomass | • Unraveled the complex interactions of the oral microbiome in biofilm assembly | |
Peptidomics and Metagenomics | Lactobacillus helvetius NS8 and Lactobacillus fermentum NS9 | Determine the effects of the probiotics on the peptidome of specific pathogen-free mice | • Alters the hippocampus peptidome by acting on the gut-brain axis. • No substantial alteration on the gut microbiome | |
Shotgun metaproteomics | Gut microbiota | Revealed the response of the host to the microbiota | • Revealed human proteins and antimicrobial peptides | |
Metabolomics and 16S RNA sequencing | Lactobacillus casei Zhang | Determined changes in the metabolic profile of L. casei Zhang culture | • Revealed changes in several metabolic pathways including amino acid and carbohydrate metabolism. • Showed the metabolic changes associated with glucose restriction to strain. | |
Metabolomics | Lactobacillus plantarum MLK 14-2, L. plantarum KCCM 11322 | Determined the variations in the metabolic changes in kimchi during fermentation with different strains | • Revealed the applications of metabolomics to monitor the fermentation characteristics of the strain. • Showed that the metabolites vary with the starter culture strain used | |
Metabolomics | Lactobacillus plantarum NCU116 | Determined the effects of ingesting L. plantarum NCU116 on the metabolite profile of hyperlipidemic rat model fed high fat diet | • Revealed biomarkers associated with high-fat diet in the serum of the model experimental animal. • Showed the biological pathways and functions associated with the metabolites. • Improvement in the hyperlipidemic condition of the rat via biosynthetic and metabolic pathways. | |
Metabolomics | Lactobacillus paracasei subsp. paracasei SM20 and Propionibacterium jensenii SM11 | Studied the antiyeast activities of the strains against Candida pulcherrima and Rhodotorula mucilaginosa | • Antiyeast compounds resistant to proteinase K and pronase E treatments were detected. • Other low molecular weight compounds that play role in the complex antiyeast activities were also identified | |
Metabolomics | Lactobacillus rhamnosus GG | Determine the effects of supplementing L. rhamnosus GG as a probiotic in alcoholic liver disease induced rats | • Normalized the level of fatty acids in the liver and feces of alcoholic liver disease induced rats. • Prevents alcoholic liver disease in the treated rats. • Modifies the gut microbiome to stimulate the synthesis of long chin fatty acids. • Elevates the level of some essential amino acids through amino acid biosynthesis. | |
Lipidomics coupled with RT-PCR gene expression | Multi-strain probiotics VSL#3 and IT-3 (containing different strains of lactobacilli, Bifidobacterium and Streptococcus thermophilus) | Determine the lipidemic response of Caenorhabditis elegans to different probiotics preparations. | • Variation in the lipid contents C. elegans fed VSL#3 compared to IT-3. • Positive correlation between the genes encoding the fatty acid and the levels of the respective lipids. | |
Lipidomics | Lactobacillus plantarum APsulloc 331261 | study the extracellular vesicle phospholipid of the strain | • Variation in the phospholipid level between the extracellular vesicle and the parent cells • Revealed high level of phosphatidylcholine synthase and lipopolysaccharide which could be used as biomarkers for clinical applications |