1. Introduction
Probiotics, live microorganisms with potential health benefits, have gained significant attention in the field of microbiology and human health. Among the diverse range of probiotic strains, Streptococcus thermophilus has emerged as a thermophilic species of great interest. S. thermophilus has been extensively utilized as a starter culture in the dairy sector as well as in many traditional fermented products including yogurt along with Lactobacillus delbrueckii subsp. bulgaricus. It is the second most important species among industrial lactic acid bacteria after Lactococcus lactis.
Streptococcus thermophilus is a Gram-positive bacterium classified under the phylum
Firmicutes and the family
Streptococcaceae.
S. thermophilus is the only species within the
Streptococcus genus (which primarily consists of commensals and pathogenic species), that has been given the generally recognised as safe (GRAS) status by the Food and Drug Administration [FDA], 2007, and the qualified presumption of safety (QPS) status by the European Food Safety Authority [EFSA], 2007 [
1]. Numerous investigations have sought to elucidate the genetic underpinnings that govern the physiological and metabolic characteristics of
S. thermophilus, with a primary focus on delineating its technological capabilities. Commonly studied technological aspects of
S. thermophilus include milk acidification, lactose and galactose utilization, proteolytic activity, and exopolysaccharide (EPS) production [
2].
A variety of probiotic products can be found in the market, featuring
S. thermophilus biomasses under different brand names, including Fermental, Floratrex, Neuflor, Multibiotics, Perfect Biotics, Probioguard, Visbiome, VSL#3, Yovis, etc [
3]. However, there are still uncertainties about designating this species itself as a probiotic, as the data regarding its ability to survive gastric transit and exert beneficial effects in the human gut is not unequivocal [
4]. Owing to the sensitivity of
S. thermophilus to gastrointestinal conditions, its probiotic status remains a topic of ongoing debate and investigation. Despite these challenges, it is important to note that
S. thermophilus still possesses certain probiotic properties and has been associated with potential health benefits. Its ability to produce antimicrobial substances, compete with pathogenic bacteria, and modulate the immune system suggests that it may positively impact gut health [
5]. However, the extent of these effects and the strain-specific variations in probiotic potential require further investigation. Comprehensive studies integrating in-vitro assessments and genomic analysis are essential to address the concerns surrounding the probiotic status of
S. thermophilus. These investigations can provide a deeper understanding of the strain's survival mechanisms, interaction with the gut environment, and potential health benefits.
Over the last two decades, numerous genomes of
S. thermophilus have been published, significantly enhancing our comprehension of the molecular-level metabolic activities of this bacterium [
6]. These activities encompass EPS and folate biosynthesis [7, 8, 9], resistance to bacteriophages [
10], proteolytic systems [
11], carbohydrate metabolism [
12], among others. Most of these functionalities are strain-specific, indicating that the diverse spectrum of health-promoting attributes exhibited by
S. thermophilus contributes to a considerable variation in the genomic content among strains. Genomic-level analysis is essential for a more comprehensive understanding of the distinctive features of each strain. Moreover, the comparative genomic analysis of diverse
S. thermophilus strains exhibiting various technological properties has contributed to an enhanced understanding of the correlation between genetic characteristics and phenotypic traits [13, 14]. However, each study has illustrated only a limited number of probiotic traits of
S. thermophilus. Strain-to-strain variation was also not addressed in most of these studies.
In this manuscript, we present a comprehensive investigation to explore the probiotic properties of S. thermophilus. The study encompasses a combination of rigorous in-vitro assessments and detailed genomic analysis to shed light on this thermophilic species's multifaceted capabilities and health-promoting attributes. This study established S. thermophilus MCC0200 as a safe probiotic candidate with diverse health-promoting traits, providing essential information for its potential utilization as a probiotic in contexts beyond the dairy industry.
2. Materials and Methods
The bacterial culture Streptococcus thermophilus MCC0200 was isolated from a dairy product and cultured in Brain Heart Infusion (BHI) medium (HiMedia) supplemented with 1% Sucrose at 37 °C. Stock culture was preserved in BHI broth mixed with 20% glycerol at −80°C. MCC0200 has been deposited in the National Centre for Microbial Resource (NCMR) in Pune, India.
- 2.
Genome Sequencing and Annotation
Whole genome sequencing of MCC0200 was performed on both Illumina HiSeq platform and Oxford nanopore (flow cell FLO-MIN106D) platform. Genome assembly of MCC0200 was performed using Unicycler 0.5.0. The genome quality of MCC0200 was evaluated using CheckM v1.0.7 tool [
15]. The general functional annotation of MCC0200 was carried out using Rapid Annotations using Subsystems Technology (RAST) server [
16] and KEGG (Kyoto Encyclopedia of Genes and Genomes) tool [
17].
- 3.
Evolutionary analysis
The phylogeny of MCC0200 was analyzed using autoMLST- an automated web tool
. In-silico DNA-DNA hybridization (DDH) and Average Nucleotide Identity (ANI) between closely related species was calculated using the genome to genome distance calculator (GGDC) (
http://ggdc.dsmz.de/home.php) and Average Nucleotide Identity calculator (ANI), EZBiocloud.
- 4.
Nucleotide sequence accession number
This Whole Genome Shotgun project has been deposited at DDBJ/ENA/GenBank under the accession JAVCAM000000000. The version described in this paper is version JAVCAM010000000.
- 5.
In-vitro evaluation of probiotic properties of MCC0200
5.1. Resistance to Simulated Gastrointestinal Conditions
The resilience of MCC0200 to harsh gastro-intestinal conditions was examined as previously described by Vecchione et al., 2018 [
18], with certain modifications. MCC0200 cells were re-suspended in simulated gastric fluid (SGF) of pH 2.5 with the initial bacterial count of ~109 cels/ml and incubated at 37 °C for 0, 30, 60, and 120 min. The viable cell count was determined using the standard plate count method by plating 100 μL of each serially diluted cell suspension on BHIA plates. Simulated intestinal fluid (SIF) comprising of 0.3% w/v Oxgall bile salts and 0.1% w/v pancreatin of pH 8.0 was used to assess the bile tolerance of MCC0200. 100 µL of 109 cells/ml of MCC0200 were inoculated in 5 mL of simulated intestinal fluid and incubated at 37°C for 0, 30, 60, 120, 240, and 360 min. At each time point, aliquots (100 µL) of the microbial suspension were serially diluted and seeded on BHIA.
5.2. Adhesion potential
5.2.1. Cell surface Hydrophobicity
The cell surface hydrophobicity of MCC0200 was determined using the Bacterial adherence to hydrocarbons (BATH) assay [19, 20]. Briefly, 3 ml of MCC0200 cell suspension (ODi ~1) was mixed with 1 ml of hydrocarbon (Chloroform, Ethyl Acetate and Xylene), incubated at 37°C for 10 min, vortexed for 15s and allowed to stand undisturbed at 37 °C for 30 min for phase separation. The lower aqueous phase was collected carefully, and OD600 was recorded as ODt. Percent hydrophobicity (adherence of cells to hydrocarbons) was calculated by using the following formula: % Hydrophobicity = (ODi – ODt/ODi) × 100
5.2.2. Aggregation assay
For the auto-aggregation assay, 1ml of MCC0200 cell suspension with OD600 of ~1.0 (A0) was dispensed in tubes, vortexed and incubated at 37 °C under static conditions. Absorbance (600 nm) was recorded at 1 h, 2 h, 3 h and 4 h interval by carefully withdrawing the supernatant (At). For the co-aggregation assay, the MCC0200 cell suspension and the cell suspension of pathogens namely, S. aureus ATCC 25923, E. faecalis ATCC 29212, E. coli ATCC 8739, E. aerogenes ATCC 130485. S. typhi ATCC 6539, S. dysenteriae ATCC 13313, K. pneumonia ATCC 13883 and P. aeruginosa ATCC 27853 with an optical density of 1.0 at 600 nm was prepared. Equal volumes of MCC0200 (ODCul) and pathogen cell suspension (ODPath) were mixed and vortexed. Axenic bacterial cultures were used as controls. The tubes were incubated at 37 °C under static conditions and the absorbance (600 nm) was monitored at 1 h and 4 h interval. Percentage auto-aggregation and co-aggregation were determined using the formula:
% Autoaggregation = 1 – (At /A0) x 100
% Co-aggregation = [(ODPath+ ODCul)-ODMix/ (ODPath+ ODCul)] × 100
5.2.3. In-vitro binding to mucin, fibrinogen and collagen
MCC0200 was assayed for binding to different substrates immobilized on 96-well plates. Plates were covered with the different substrates (200 µl) overnight at 4°C. Mucin (500 µg/ml), Fibrinogen (50 µg/ml) in 50 mM carbonate/bicarbonate buffer pH 9.6 and collagen (50 µg/ml) in PBS pH 5.5 were used. After immobilization, wells were washed three times with PBS and blocked for 2 h with BSA. 200 µl of MCC0200 was added to each well in PBS adjusted to an OD550 nm of 1 and plates were incubated overnight at 4 °C. Non-adhered cells were removed by washing three times with 200 µl of PBS plus 0.05% Tween 20 and the plates were dried at 55 °C. Adhered cells were stained with crystal violet 1 mg/ml (200 µl/well) for 45 min. After six washes with PBS, the colorant was liberated with 50 mM citrate buffer pH 4.0 (200 µl /well) for 45 min and the absorbance at 595 nm. For testing the effect of mucin presence in the growth medium, cells were grown in MRS broth supplemented with 0.1% mucin. BSA coated wells were used as control.
5.2.4. Adhesion of MCC0200 to HT-29
The ability of MCC0200 to adhere to the human intestinal cell line: HT-29 was investigated as previously described by Sharma and Kanwar, 2017 [
21]. The observation of the adhesion of MCC0200 on HT-29 cells was done by Scanning Electron Microscopy (SEM) as described by Inturri et al., 2014 [
22]. During the experiment, wells containing only HT-29 cells were used as controls. Each assay was performed in duplicate to determine inter-assay variation. 20 random fields are captured for counting the number of adhered bacteria per animal cell. The final results were expressed as no. of bacterial cells per 100 HT-29 cells.
- 6.
Antioxidant activity
The intact cells of MCC0200, grown at 37°C overnight, were harvested by centrifugation 8000 × g for 5 min, 4°C. The cells were washed and suspended in sterile saline to adjust the concentration to 109 CFU/mL, which was used as the bacterial suspension.
6.1. Scavenging activity to 2,2-diphenyl-1-picrylhydrazyl free radical (DPPH)
MCC0200 with antioxidant activity was screened by measuring their DPPH free radical scavenging activity according to the method of Mu et al., 2018 [
23], with some modifications. Briefly, 1.0 mL of sample was added to 1.0 mL of DPPH-ethanol solution (0.02 mM). The mixture was mixed and incubated at 25°C in the dark for 30 min. The control group included PBS and DPPH-methanol solution. The blank group contained sample and ethanol. The optical absorbance at 517 nm of supernatant was measured in triplicate. Ascorbic acid (10 µg) was used as positive control. The DPPH scavenging activity was defined as
Scavenging Activity (%) = [1- (Asample - Ablank)]/ Acontrol] X 100
Where, Asample is the optical absorbance at 517 nm of the sample group, Ablank is the optical absorbance at 517 nm of the blank group, and Acontrol is the absorbance of the control group.
6.2. Scavenging activity to ABTS (2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) radical
The hydroxyl radical scavenging activity was determined as described in Yan et al., 2018 [
24]. Briefly, 50 µl of the sample was added to 3 ml of the diluted ABTS solution. The tubes were incubated for 6 minutes at room temperature in the dark. The absorbance of the mixture was immediately measured at 734 nm. The blank group contained sample with PBS; the control was prepared using distilled water and ABTS reagent. The ABTS radical scavenging activity (%) was calculated as follows:
Scavenging Activity (%) = [1- (Asample - Ablank)]/ Acontrol] X 100
Where, Asample is the optical absorbance at 734 nm of the sample group, Ablank is the optical absorbance at 517 nm of the blank group, and Acontrol is the absorbance of the control group.
- 7.
In-vitro Evaluation of the Anti-hypercholesterolemic Effect of MCC0200
The anti-hypercholesterolemic activity was tested using the method of Tomaro et al., 2014 [
25]. Briefly, overnight grown culture of MCC0200 was inoculated in BHIB+1%Sucrose prepared in SIF (Simulate Intestinal Fluid) + 100µg/ml of Cholesterol and incubated at 37˚C for 24 hours. Residual cholesterol in the spent broth was determined by the O-phthaldehyde method described by Rudel and Morris (1973) [
26]. The cholesterol assimilated was determined by the difference between cholesterol level in the 0 hour and 24 hour.
% Cholesterol Assimilated = [Cholesterol Assimilated (𝜇g/mL)/Cholesterol at 0h (𝜇g/mL)]*100.
- 8.
Screening of MCC0200 for beta-galactosidase production
The production of beta-galactosidase by MCC0200 was determined using substrate hydrolysis method, wherein MCC0200was spot inoculated on agar plates supplemented with 1% lactose. The plates were then incubated at 37 °C for 24 to 48 h. Yellow coloration of the bacterial growth indicated fermentation of lactose and by extension production of the enzyme beta-galactosidase.
- 9.
Safety Assessment
The safety assessment of MCC0200 was performed as per EFSA guidelines (EFSA FEEDAP Panel, 2018) [
27].
9.1. Antibiotic susceptibility/resistance testing
The Antibiotic susceptibility/resistance of MCC0200 was determined by using E-test. The strain was categorized as susceptible or resistant to antibiotic tested according with the microbiological cut-off values published by EFSA. Presence of antibiotic resistance associated genes were predicted using the online tool Resistance Gene Identifier (RGI) version 5.1.1 of the Comprehensive Antibiotic Resistance Database (CARD) version 3.1.0 [
28] and the ResFinder 4.1 database [
29].
9.2. Pathogenicity and Virulence
The virulence factors in the genome were detected using Virulencefinder v2.0 and the pathogenicity was predicted using PathogenFinder v1.1 web tool.
9.3. Stability of the genome
Genome stability was investigated to determine the probability of mobilization of transferrable genetic elements (if present) among strains. Prophage sequences were investigated by PHASTER web based server [
30]. For prediction of (CRISPR) and cas genes, CRISPRCasFinder tool [
31] was used. Plasmids were screened by PlasmidFinder version 2.1 [
32].