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.

28

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

35

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

36

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.

34

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.

45

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.

46

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.

47

Metatranscriptomics

yeasts and Lactobacillus species

The interplay of the microbes during the fermentation of

• Revealed the role of the probiotic microbes in pyruvate metabolism

49

Metatranscriptomics

Oral microbiota

Interactions of the oral microbiome in biofilm biomass

• Unraveled the complex interactions of the oral microbiome in biofilm assembly

50

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

58

Shotgun metaproteomics

Gut microbiota

Revealed the response of the host to the microbiota

• Revealed human proteins and antimicrobial peptides

60

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.

69

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

71

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.

75

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

76

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.

77

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.

82

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

83