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Scientific Reports logoLink to Scientific Reports
. 2022 May 25;12:8862. doi: 10.1038/s41598-022-12806-0

Effects of broad-spectrum antibiotics on the colonisation of probiotic yeast Saccharomyces boulardii in the murine gastrointestinal tract

Karl Alex Hedin 1, Vanessa Emily Rees 1, Hongbin Zhang 1, Vibeke Kruse 1, Ruben Vazquez-Uribe 1,, Morten Otto Alexander Sommer 1,
PMCID: PMC9133042  PMID: 35614092

Abstract

Mouse models are commonly used to study the colonisation profiles of microorganisms introduced to the gastrointestinal tract. Three commonly used mouse models include conventional, germ-free, and antibiotic-treated mice. However, colonisation resistance in conventional mice and specialised equipment for germ-free mice are usually limiting factors in their applications. In this study, we sought to establish a robust colonisation model for Saccharomyces boulardii, a probiotic yeast that has caught attention in the field of probiotics and advanced microbiome therapeutics. We characterised the colonisation of S. boulardii in conventional mice and mice treated with a cocktail of broad-spectrum antibiotics, including ampicillin, kanamycin, metronidazole and vancomycin. We found colonisation levels increased up to 10,000-fold in the antibiotic-treated mice compared to nonantibiotic-treated mice. Furthermore, S. boulardii was detected continuously in more than 75% of mice for 10 days after the last administration in antibiotic-treated mice, in contrast to in nonantibiotic-treated mice where S. boulardii was undetectable in less than 2 days. Finally, we demonstrated that this antibiotic cocktail can be used in two commonly used mouse strains, C57BL/6 and ob/ob mice, both achieving ~ 108 CFU/g of S. boulardii in faeces. These findings highlight that the antibiotic cocktail used in this study is an advantageous tool to study S. boulardii based probiotic and advanced microbiome therapeutics.

Subject terms: Microbiology, Gastrointestinal models, Model fungi, Biological techniques, Mouse, Molecular engineering

Introduction

The human body hosts trillions of microorganisms, consisting of a diverse range of different communities of commensal, pathogenic and symbiotic microorganisms that together make up the human microbiota1,2. These communities reside in numerous environmental sites on and within the human body, such as the skin, oral cavity, respiratory tract and gastrointestinal tract3. The gastrointestinal tract contains the most abundant and diverse microbial communities in the human body2. The attributes of these communities in the gastrointestinal tract play an essential role in sensing, responding and manipulating the human gut environment4. Recent studies on the function of the human gut microbiota support it as a potential target to prevent numerous diseases, including diabetes, cancer, mental health, and obesity510 via probiotic administration or faecal matter transplants1113.

In addition, an emerging therapeutic modality involves engineered probiotic microorganisms to create advance microbial therapeutics (AMTs)14. These engineered microorganisms may exhibit therapeutic activities in the gastrointestinal tract, skin, or blood of their hosts1519. Commonly used probiotic bacteria have been utilised as AMT chassis; for example, Lactococcus lactis and Lactobacillus gasseri have been engineered to prevent exacerbation of diabetes2023, and Escherichia coli Nissle 1917 to treat phenylketonuria16 and hyperammonaemia17. Bacteria offer some benefits as AMT chassis due to their simplicity of engineering and as they natively occur in high abundance in the gut2. However, for the expression of peptides with post-translational modifications of proteins, eukaryotic hosts may be advantageous.

The probiotic yeast, Saccharomyces cerevisiae var. boulardii, a subspecies of the commonly used baker’s yeast, Saccharomyces cerevisiae, has caught the attention within the field of probiotics and AMTs2427. S. boulardii taken as a probiotic supplement has been reported to ameliorate certain antibiotic-associated disorders28, such as Clostridium difficile infections29,30, inflammatory bowel disease31 and other gastrointestinal disorders28,32. Established genetic tools for S. cerevisiae26,33,34 can also be applied to S. boulardii as they are closely related35,36, allowing S. boulardii to be used as an AMT chassis. Examples of this include engineering S. boulardii to secrete IL-10 to enhance its anti-inflammatory properties37 and to secrete atrial natriuretic peptide to treat murine colitis38, thus demonstrating S. boulardii as a promising AMT platform, in addition to a probiotic itself.

Regrettably, S. boulardii has not been considered an efficient coloniser in conventional rodents with an intact microbiome due to its low abundance and short residence time in the gastrointestinal tract25,26,39,40. For instance, in conventional mice S. boulardii was completely washed-out after two days, even though it can survive the low pH of the stomach and harsh conditions of gastrointestinal tract41,42. Conversely, S. boulardii administered to germ-free mice colonise the gastrointestinal tract for 30 days after a single administration26. However, the cost and accessibility of such mouse model are limiting factors. Studying a disease that requires a stable delivery of the therapeutic would require more consistent S. boulardii levels. However, accessibility to a germ-free murine model and poor colonisation in conventional murine models complicates the preclinical assessment of the probiotic yeast. Considering the importance of robustness in preclinical assessment, a need remains for standardised colonisation and testing of S. boulardii in murine models. To address this problem, we sought to establish an antibiotic-treated model for S. boulardii to achieve reproducible and robust colonisation in mice.

Results

Pre-treatment with an antibiotic cocktail significantly extends Saccharomyces boulardii colonisation in mice

Use of an antibiotic-treated mice model for S. boulardii should reduce the potential variability in colonisation introduced with the environment, diet, breed, and other factors, which alter the gut microbiota43. We hypothesised that treatment with a combination of broad-spectrum antibiotics would eliminate gut bacteria competing with S. boulardii, allowing for more robust colonisation and better reproducibility. We used an antibiotic cocktail containing ampicillin, kanamycin, metronidazole, and vancomycin enabling us to target multiple bacteria in the murine gastrointestinal tract4446. We evaluated the in vitro growth performance of S. boulardii in the presence of each antibiotic individually and in combination (Supplementary Fig. S1).

We evaluated the effect on colonisation and washout of S. boulardii in two cohorts of mice receiving either drinking water supplemented with antibiotics or normal drinking water (Fig. 1a). To confidently quantify colonisation levels, we orally administered ~ 107 cells of a genetically engineered S. boulardii expressing green fluorescent protein (GFP) and an antibiotic resistance selection marker (geneticin selectable marker, KanMX). Antibiotic supplemented drinking water enhanced the colonisation of S. boulardii with 100% of the treated mice showing detectable colonisation of S. boulardii for the first six days, with 75% remaining with detectable levels for a prolonged period up to 10 days (Fig. 1b). In contrast to the nonantibiotic-treated mice that demonstrated complete washout of S. boulardii after a short period (up to 2 days). Additionally, we observed a more than a 1,000-fold increase of viable CFU/g in faeces during the period of daily oral administrations of S. boulardii for the antibiotic-treated mice compared to nonantibiotic-treated mice (Fig. 1c–d).

Figure 1.

Figure 1

Colonisation assessment of S. boulardii in antibiotic-treated mice. (a) A graphical scheme of the study design. The mice were orally administered ~ 107 cells of S. boulardii daily for five successive days, followed by a 15-day washout period (grey shaded area). The mice were divided into two cohorts, where one received antibiotics supplemented in the drinking water. On the fifth day, half of the mice were sacrificed to determine the colonisation of S. boulardii in different gut regions. (b) The step plot shows the time-course of percentage of mice with detectable levels of S. boulardii in the antibiotic-treated cohort (blue) and the none-antibiotic-treated cohort (red). (c) The time-course of the log10 mean CFU/g of S. boulardii ± SEM mean over time (days) in faeces. Each dot represents the log10 CFU/g S. boulardii in one mouse. (d) Bar plot of the mean CFU/g of S. boulardii assessed in the faeces over the first five days. (e) A graphical illustration of the different gut regions investigated and how the regions were defined as marked. (f) Box plot of the assessed CFU/g of S. boulardii in the gastrointestinal tract from the nonantibiotic-treated and antibiotic-treated mice sacrificed on the fifth day. *p < 0.5, **p < 0.1, ***p < 0.01, ****p < 0.001. All samples were analysed by a dependent sample t-test.

We further determined the colonisation of S. boulardii in different regions of the gastrointestinal tract. In all of the collected gut regions we observed a significant increase of viable S. boulardii CFU in the antibiotic-treated mice (Fig. 1e–f). Furthermore, S. boulardii was able to colonise all regions of the antibiotic-treated mice, while in the nonantibiotic-treated mice it was undetectable for most of the stomach and small intestine samples (Fig. 1f).

Antibiotic cocktail opens a niche in the murine gastrointestinal tract for S. boulardii colonisation

Once the residence time was assessed we sought to investigate the effect on the total bacterial communities in antibiotic-treated mice. The mice were orally administered ~ 108 cells of S. boulardii and faecal samples were collected daily until sacrifice on day five (Fig. 2a). Receiving an antibiotic cocktail reduced the total bacterial abundance by four orders of magnitude (Fig. 2b). Additionally, receiving the oral administration of ~ 108 S. boulardii cells together with the antibiotic cocktail resulted in an abundance three orders of magnitude greater than the nonantibiotic-treated mice (Fig. 2c).

Figure 2.

Figure 2

The effect of S. boulardii on the bacterial communities in antibiotic-treated mice. (a) Graphical scheme of the study design. The mice were orally administered ~ 108 cells of S. boulardii daily for five successive days. The mice were divided into two cohorts, where one received antibiotics supplemented in the drinking water. (b) Log10 number of total bacterial cells per gram of faeces before and after receiving the antibiotics. (c) Bar plot of the mean CFU/g assessed in faeces over the first five days. Bar plots are shown as the mean ± SEM *p < 0.5, **p < 0.1, ***p < 0.01, ****p < 0.001. All samples were analysed by Wilcoxon signed-rank test.

Receiving an antibiotic cocktail enables Saccharomyces boulardii to achieve reproducible and robust colonisation in two common mouse strains

After establishing the residence time of S. boulardii following its administration and assessing the effect of antibiotics on the colonisation of S. boulardii, we sought to investigate the robustness with the antibiotic cocktail in two different mouse strains. We chose two of the most commonly used mouse models, the C57BL/6 fed with a high fat diet and the leptin deficient ob/ob mouse strain. The C57BL/6 mouse strain is used frequently in research including that for metabolic diseases, oncology, immunology and toxicology47, whilst the ob/ob strain is commonly used for studying Type II diabetes and obesity48,49. These colonisation studies were performed independently, with oral administration of probiotic S. boulardii from two different batches that were delivered daily for five weeks (Fig. 3a). Notably the abundance in faeces reached ~ 108 CFU/g in both murine strains and maintained at a high abundance (~ 108 CFU/g) throughout the five weeks (Fig. 3b–d).

Figure 3.

Figure 3

Colonisation assessment of S. boulardii in two different mouse strains receiving antibiotic-treatment. (a) A graphical scheme of the study design. The mice were orally administered ~ 108 cells of S. boulardii daily for five successive weeks, with weekly faecal collection. (b) The time-course of log10 mean CFU/g of S. boulardii ± SEM over time (weeks) in faeces from C57BL/6 mice. (c) The time-course of log10 mean CFU/g of S. boulardii ± SEM over time (weeks) in faeces from ob/ob mice. (d) Bar plot of the mean CFU/g assessed in the faeces over the same period. Each dot represents the log10 CFU/g S. boulardii in one mouse.

Discussion

Since the early days of microbiome research, mouse models have been used to investigate how microbes interact with their hosts. In particular, germ-free and antibiotic-treated mice have been a valuable tool to study the direct interaction of a single or a defined community of microbes in the gastrointestinal tract45. In this study, we characterised the effect of an antibiotic cocktail to build a robust mouse model for colonisation of S. boulardii. We started with orally administered ~ 107 cells (Fig. 1a) to correlate our observed colonisation with previous studies with S. boulardii26. The oral administered S. boulardii was later increased by tenfold to boost to colonisation (Figs. 2a, 3a). Here we demonstrated that treating mice with a cocktail of antibiotics enabled S. boulardii to remain in 75% of mice for 10 days and 25% of mice for 15 days (Fig. 1b) following the last oral administration. This was in stark contrast to the colonisation observed in the nonantibiotic-treated mice that demonstrated complete washout of S. boulardii after two days. This latter observation appears identical to a previous study that compared S. boulardii in mice treated with a cocktail of penicillin (1 mg/mL) and streptomycin (2 mg/mL), where S. boulardii still appeared to washout after two days26. This emphasised the importance of the use of the broad-spectrum antibiotic cocktail in this study. In addition, we observed more than a 1,000-fold increase in viable count of S. boulardii in faeces from antibiotic-treated mice compared to nonantibiotic-treated mice (Figs. 1d, 2c).

The gut microbiota of mice from the same breed has previously been shown to differ significantly between suppliers resulting in challenges to reproduce experiments5052. In this study, we demonstrated the robustness of the antibiotic cocktail model, showing an insignificant difference in colonisation for the first four weeks between two different studies (Fig. 3b–d). We showed that the antibiotic cocktail in mice exhibits reproducible colonisation of S. boulardii in two different mouse strains (C57BL/6 and ob/ob) under two different diets (standard chow and high fat diet). These studies were conducted independently with two different batches of S. boulardii, maintaining ~ 108 CFU/g in faeces for up to five weeks (Fig. 3b). Interestingly, here we observed ~ tenfold higher CFU/g counts in faeces of antibiotic-treated mice compared to previously reported numbers in germ-free mice26.

Comparing the viable counts in the different regions, we observed a significant increase in all regions by supplementing antibiotics in the drinking water, highlighting the potential of S. boulardii to act on multiple sections of the gastrointestinal tract (Fig. 1f). We observed the largest increase in viable cells in the jejunum and stomach, which increased by ~ 10,000-fold when antibiotics were supplemented. This was followed by the ileum and lower intestinal tract, which all increased by ~ 1,000-fold viable cells. Furthermore, the ability of S. boulardii to colonise the antibiotic-treated mice were 10- to 100-fold lower than some of the more common bacterial probiotics53,54, such as E. coli Nissle 1917 which can reach up to 109 cells/g in faeces55.

Treating mice with broad-spectrum antibiotics has been commonly used to deplete bacterial populations in the gastrointestinal tract. We used a cocktail of antibiotics that has previously been demonstrated to open a niche in the gastrointestinal tract4446. In our study, using this antibiotic cocktail showed no growth burden for S. boulardii (Supplementary Fig. S1). Distinctly, the antibiotic cocktail of this study significantly impacted the total bacterial abundance, as observed by a 10,000-fold decrease of bacterial cells (Fig. 2b). Although the treatment cannot completely eliminate the gut microbiota56, it represents a rapid, inexpensive and accessible alternative to the germ-free model45. Further studies would be necessary to fully elucidate the long-term colonisation effects and dynamics of S. boulardii as well as other fungal species on the host. Indeed, it has been demonstrated that antibiotics have a long-term effect on the fungal community in the gut, shifting from mutualism towards competition57. To reduce the risk of other fungal species taking over or competing with S. boulardii, anti-fungal compounds that S. boulardii has been engineered to resist could be added to the antibiotic cocktail.

Investigation of physiological effects of S. boulardii based probiotics and AMTs requires animal models that allow robust and consistent colonisation. In this study, we demonstrated that treatment with an antibiotic cocktail led to reproducible and robust colonisation of S. boulardii throughout the gastrointestinal tract. This model may be useful as a rapid, low-cost setup for testing S. boulardii AMTs and probiotics.

Methods

Strains and media

One Shot® TOP10 Escherichia coli (Thermo Fisher Scientific, Waltham, MA, USA) were used for plasmid construction and maintenance. E. coli cultures were grown in lysogeny broth (LB) media containing 5 g/L yeast extract, 10 g/L tryptone and 10 g/L NaCl; (Sigma Aldrich—Merck Life Science) supplemented with 100 mg/L ampicillin sodium salt (Sigma Aldrich—Merck Life Science). S. boulardii (S. cerevisiae ATCC® MYA796TM) was obtained from American Type Culture Collection, ATCC. The strains created in this study are listed in Supplementary Table S2S. boulardii were cultured in yeast extract peptone dextrose (YPD) media containing 10 g/L yeast extract, 20 g/L casein peptone and 20 g/L glucose; (Sigma Aldrich—Merck Life Science) at 37 °C. Strain selection was done on YPD plates containing 20 g/L agar and supplemented with 200 mg/L geneticin (G418; Sigma Aldrich—Merck Life Science) or synthetic complete (SC) plates containing 1.7 g/L yeast nitrogen base without amino acids and ammonium sulphate (Sigma Aldrich—Merck Life Science), 1 g/L monosodium glutamate (Sigma Aldrich—Merck Life Science), 1.92 g/L Yeast Synthetic Drop-out Medium Supplements without uracil (Sigma Aldrich—Merck Life Science) and 0.2 g/L uracil (Sigma Aldrich—Merck Life Science) at 37 °C.

Strain and plasmid construction

The oligonucleotides and gBlock sequences were codon-optimised and ordered from Integrated DNA Technologies (IDT; sequences are listed in Supplementary Information Table S1). All plasmids used and generated in this study are listed in Supplementary Information Table S3. Phusion high-fidelity DNA polymerase (Thermo Scientific, Waltham, MA, USA) was used for amplifying GFP. GFP was assembly with the integration plasmid pCfB2055 using Gibson Assembly58 and digested with NotI prior to integration. Colony-PCR using OneTaq (Thermo Scientific, Waltham, MA, USA) was used for confirming the integration of pCfB2055_GFP. Primers flanking the integration was used to confirm the integration. One single amplification band on gel electrophoresis indicated a successful integration into both chromosome copies. Genomic DNA extraction was performed as described previously59.

To generate the uracil knockout strain, the gBlock with URA3 gRNA34 was assembled with pCfB2312 (Cas9-KanMX) to build the pCfB2312_URA and transformed together with URA-donor-fw primer (TCCATGGAGGGCACAGTTAAGCCGCTAAAGGCATTATAAGCCAAGTACAATTTTTTACTC) and URA-donor-rv primer (ACCAATGTCAGCAAATTTTCTGTCTTCGAAGAGTAAAAAATTGTACTTGGCTTATAATGC).

S. boulardii transformations were performed via high-efficiency yeast transformation using the LiAc/SS carrier DNA/PEG method60 with a minor modification of the incubation and heat-shock temperatures of 37 and 45 °C were used, respectively.

Real-time growth monitoring

Real-time OD600 measurements were obtained every 5 min for approximately 24 h with microplate reader Synergy™ H1 BioTek. The cultures were incubated into 200 µL YPD in a CELLSTAR® 96 well cell culture plate (Greiner Bio-One) with an air-penetrable lid (Breathe-Easy, Diversified Biotech) supplemented with 0.3 g/L ampicillin sodium salt, 0.3 g/L kanamycinsulfate (Sigma Aldrich—Merck Life Science), 0.3 g/L metronidazole (Sigma Aldrich) and 0.15 g/L vancomycin hydrochloride (MP Biomedicals, LLC). Cultivation was performed with continuous double orbital shaking of 548 cycles per minute (CPM) at 37 °C and with an initial OD600 of 0.10.

Animal study

All animal experiments were conducted according to the Danish guidelines for experimental animal welfare and the study protocols were approved by the Danish Animal Experiment Inspectorate (license number 2020-15-0201-00405). The study was carried out in accordance with the ARRIVE guidelines61. Unless otherwise stated, all mice were housed on a 12-h light/dark cycle and given ad libitum access to standard chow (Safe Diets, A30) and water. For the high fat diet studies, 45% high fat diet (Research Diet, D12451 Rodent Diet with 45 kcal% fat) was fed ad libitum. Mouse strains used in this study were female NMRI mice (6–8 weeks old; Taconic Bioscience), male ob/ob mice – B6.Cg-Lepob/ J (The Jackson Laboratory) and male C57BL/6 mice (6–8 weeks old; Taconic Bioscience). All mice were randomised according to body weight and were acclimated for at least one week prior to the first oral administration of S. boulardii. The cohorts received the antibiotic cocktail (0.3 g/L ampicillin sodium salt, 0.3 g/L kanamycinsulfate, 0.3 g/L metronidazole, and 0.15 g/L vancomycin hydrochloride) supplemented in the drinking water, for up to five days prior to the first oral administration of S. boulardii. A single batch of S. boulardii was cultivated for 72 h before being harvested and frozen. The batch was used for the entire study. The impact of preservation of S. boulardii at − 80 °C in cryovials over time was assessed. Viable S. boulardii was assessed three, five and ten days after being frozen. Colony forming unit (CFUs) were count two days after plating (Supplementary Fig. S2). Each animal study received a freshly prepared batch of S. boulardii. The researcher was unblinded for all mouse experiments.

Assessing the residence time (Fig. 1)

The NRMI mice were divided into two cohorts (n = 16), with and without antibiotics supplemented to the drinking water. Both cohorts were orally administered via intragastric gavage with ~ 107 CFU of S. boulardii in 100 µL of 1 × PBS and 10% glycerol. The mice were orally administered S. boulardii for five consecutive days and faeces were collected daily for 20 days. On day five, half of the mice from each cohort (n = 8) were sacrificed. The gut content from six gastrointestinal tract regions was collected in 1 mL of 1 × PBS and 50% glycerol and weighed to determine the viability per gram of content.

Assessing the effect of antibiotics (Fig. 2)

The NRMI mice were divided into two cohorts (n = 6), one with and one without antibiotic-treatment. Both cohorts were orally administered via intragastric gavage with ~ 108 CFU of S. boulardii in 100 µL of 1 × PBS and 10% glycerol. The mice were orally administered S. boulardii for five successive days and faeces were collected daily. The cohort receiving the antibiotic cocktail in drinking water also received an oral administration of antibiotics (1.0 g/L ampicillin sodium salt, 1.0 g/L kanamycinsulfate, 1.0 g/L metronidazole, and 1.0 g/L vancomycin hydrochloride).

Assessing the robustness of the antibiotic cocktail (Fig. 3)

The C57BL/6 mice (n = 9) and ob/ob mice (n = 9) were orally administered via intragastric gavage with ~ 108 CFU of S. boulardii URA3∆ background strain in 100 µL of 1 × PBS and 10% glycerol to test the robustness of a strain without an antibiotic selection marker. The mice were housed individually to reduce the shared gut microbiota composition between each mouse62. In addition to receiving the antibiotic cocktail in drinking water, the mice also received an oral administration of the antibiotic cocktail (1.0 g/L ampicillin sodium salt, 1.0 g/L kanamycinsulfate, 1.0 g/L metronidazole, and 1.0 g/L vancomycin hydrochloride).

CFU assessment in the faecal samples

The faeces were collected in pre-weighted 1.5 mL Eppendorf tubes containing 1 mL of 1 × PBS and 50% glycerol and weighed again to determine the faecal weight. All sample preparation for assessing CFU numbers was kept at 4 °C and followed the same practice. The faecal samples were homogenised and vortexed at ~ 2400 rpm for 10 min. The samples were then spun down at 100 g for 30 s, followed by a dilution series, where 5 µL of each dilution was plated in duplicates or triplicates. The faecal samples were plated on YPD plates containing 200 mg/L G418 for selecting the S. boulardii containing the KanMX marker. For selecting the uracil knockout S. boulardii the faecal samples were plated on SC plates containing 100 mg/L ampicillin, 50 mg/L kanamycin, and 30 mg/L chloramphenicol (Sigma Aldrich—Merck Life Science) for preventing bacterial growth and 1 g/L 5-Fluoroorotic Acid (5-FOA; Nordic BioSite) for preventing other yeast species to grow. To lower the limit of detection, 100 µL of the faecal samples was plated in duplicates from day 10 (Fig. 1b).

Real-time quantitative PCR

According to the manufacturer's instructions, all genomic DNA were extracted with the DNeasey PowerSoil Pro kit (Qiagen, Hilden, Germany). The DNA concentration was determined with Qubit (Qubit™ dsDNA HS Assay Kit, Thermo Scientific, Waltham, MA, USA). 2 × SensiFAST SYBR® Lo-ROX mix (Nordic BioSite) was used for all qPCR reactions, consisting of 5 µL of master mix, 0.03 µL of each primer (100 µM, see Supplementary Table 1) and 5 µL of 0.1 ng/L of extracted template DNA. All qPCR reactions followed the same thermocycler program that consisted of an initial 3 min step at 95 °C, followed by 40 cycles of 95 °C for 10 s, 60 °C for 15 s, and 72 °C for 30 s, along with a final melting curve consisting of a single cycle of 95 °C for 5 s, 60 °C for 1 min, 95 °C for 5 s. All samples were run in duplicate.

Bacterial cell counts were determined using 16S rRNA and GFP specific primers for the total bacteria and S. boulardii cell counts, respectively (Supplemented Table S1). Cell counts were calculated based on a standard curve generated using a series of OD from either E. coli or S. boulardii and yielded genomic DNA concentration. We adjusted the qPCR signal of 16S and GFP by dividing them by the mean copy numbers per genome63; this was done to account for the fact that the 16S and GFP copy numbers per genome vary between species6365, which consequently skew the readout of bacterial and S. boulardii cell counts. qPCR runs were performed on the Roche LightCycler® 480 Real-time PCR System in LightCycle® 480 Multiwell Plate 384, clear plates.

Statistical testing

All statistical analysing were performed in RStudio. The normality of the data was checked with the Shapiro–Wilk test. A dependent sample t-test was used for normally distributed data and the Wilcoxon singed-rank test for non-normal distributed data. P values < 0.05 were considered statistically significant.

Supplementary Information

Acknowledgements

This work received funding from The Novo Nordisk Foundation under NNF grant number: NNF20CC0035580, NNF Challenge programme CAMiT under Grant agreement: NNF17CO0028232 and the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant agreement No 813781. We are grateful to Kira Sarup-Lytzen, Felipe Gonzalo Tueros Farfan, Susanne Kammler and Max van ’t Hof for assistance in carrying out some of the experiments. We are also grateful to Kira Sarup-Lytzen and Mareike Bongers for initial discussions in the experimental setup.

Author contributions

K.A.H., R.V.U., V.E.R., and M.O.A.S. conceived the study, and all authors contributed to the study's design. K.A.H. carried out all in vitro characterisations, and K.A.H., V.K., V.E.R., and H.Z. carried out all the in vivo characterisations. K.A.H. analysed the data and wrote the manuscript. R.V.U., V.E.R., and M.O.A.S. supervised the study. All authors contributed to the discussion of the results. All authors read and approved the final manuscript.

Data availability

All data generated or analysed during this study are included in this published article and its Supplementary Information files.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Ruben Vazquez-Uribe, Email: ruvas@biosustain.dtu.dk.

Morten Otto Alexander Sommer, Email: msom@bio.dtu.dk.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-022-12806-0.

References

  • 1.Sender R, Fuchs S, Milo R. Revised estimates for the number of human and bacteria cells in the body. PLoS Biol. 2016;14:e1002533. doi: 10.1371/journal.pbio.1002533. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Huttenhower C, et al. Structure, function and diversity of the healthy human microbiome. Nature. 2012;486(7402):207–214. doi: 10.1038/nature11234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Ma Z, Li L, Li W. Assessing and interpreting the within-body biogeography of human microbiome diversity. Front. Microbiol. 2018;9:1619. doi: 10.3389/fmicb.2018.01619. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Kolde R, et al. Host genetic variation and its microbiome interactions within the Human Microbiome Project. Genome Med. 2018;10:1–13. doi: 10.1186/s13073-018-0515-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Guinane CM, Cotter PD. Role of the gut microbiota in health and chronic gastrointestinal disease: Understanding a hidden metabolic organ. Ther. Adv. Gastroenterol. 2013;6:295–308. doi: 10.1177/1756283X13482996. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Muscogiuri G, et al. Gut microbiota: a new path to treat obesity. Int. J Obes. Suppl. 2019;9(1):10–19. doi: 10.1038/s41367-019-0011-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Das, T. et al. Alterations in the gut bacterial microbiome in people with type 2 diabetes mellitus and diabetic retinopathy. Sci. Rep.11, 2738 (123AD). [DOI] [PMC free article] [PubMed]
  • 8.Heshiki Y, et al. Predictable modulation of cancer treatment outcomes by the gut microbiota. Microbiome. 2020;8:1–14. doi: 10.1186/s40168-020-00811-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Xavier JB, et al. The cancer microbiome: distinguishing direct and indirect effects requires a systemic view. Trends Cancer. 2020;6:192–204. doi: 10.1016/j.trecan.2020.01.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Schächtle MA, Rosshart SP. The microbiota-gut-brain axis in health and disease and its implications for translational research. Front. Cell. Neurosci. 2021;15:256. doi: 10.3389/fncel.2021.698172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Liu Y, Tran DQ, Rhoads JM. Probiotics in disease prevention and treatment. J. Clin. Pharmacol. 2018;58:S164–S179. doi: 10.1002/jcph.1121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Costello SP, et al. Systematic review with meta-analysis: faecal microbiota transplantation for the induction of remission for active ulcerative colitis. Aliment. Pharmacol. Ther. 2017;46:213–224. doi: 10.1111/apt.14173. [DOI] [PubMed] [Google Scholar]
  • 13.Barberio B, et al. Faecal microbiota transplantation in Clostridioides difficile infection: real-life experience from an academic Italian hospital. Ther. Adv. Gastroenterol. 2020;13:1756284820934315. doi: 10.1177/1756284820934315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.O’Toole PW, Marchesi JR, Hill C. Next-generation probiotics: the spectrum from probiotics to live biotherapeutics. Nat. Microbiol. 2017;2(5):1–6. doi: 10.1038/nmicrobiol.2017.57. [DOI] [PubMed] [Google Scholar]
  • 15.Mimee M, Citorik RJ, Lu TK. Microbiome therapeutics—advances and challenges. Adv. Drug Deliv. Rev. 2016;105:44–54. doi: 10.1016/j.addr.2016.04.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Isabella VM, et al. Development of a synthetic live bacterial therapeutic for the human metabolic disease phenylketonuria. Nat. Biotechnol. 2018;36(9):857–864. doi: 10.1038/nbt.4222. [DOI] [PubMed] [Google Scholar]
  • 17.Kurtz CB, et al. An engineered E. Coli Nissle improves hyperammonemia and survival in mice and shows dose-dependent exposure in healthy humans. Sci. Transl. Med. 2019;11:7975. doi: 10.1126/scitranslmed.aau7975. [DOI] [PubMed] [Google Scholar]
  • 18.May-Zhang LS, et al. Administration of N-Acyl-Phosphatidylethanolamine expressing bacteria to low density lipoprotein receptor−/− mice improves indices of cardiometabolic disease. Sci. Rep. 2019;9(1):1–13. doi: 10.1038/s41598-018-37373-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Pedrolli DB, et al. Engineering microbial living therapeutics: the synthetic biology toolbox. Trends Biotechnol. 2019;37:100–115. doi: 10.1016/j.tibtech.2018.09.005. [DOI] [PubMed] [Google Scholar]
  • 20.Agarwal P, Khatri P, Billack B, Low WK, Shao J. Oral delivery of Glucagon like peptide-1 by a recombinant Lactococcus lactis. Pharm. Res. 2014;31:3404–3414. doi: 10.1007/s11095-014-1430-3. [DOI] [PubMed] [Google Scholar]
  • 21.Robert S, et al. Oral delivery of glutamic acid decarboxylase (GAD)-65 and IL10 by Lactococcus lactis reverses diabetes in recent-onset NOD mice. Diabetes. 2014;63:2876–2887. doi: 10.2337/db13-1236. [DOI] [PubMed] [Google Scholar]
  • 22.Takiishi T, et al. Reversal of autoimmune diabetes by restoration of antigen-specific tolerance using genetically modified Lactococcus lactis in mice. J. Clin. Investig. 2012;122:1717. doi: 10.1172/JCI60530. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Duan FF, Liu JH, March JC. Engineered commensal bacteria reprogram intestinal cells into glucose-responsive insulin-secreting cells for the treatment of diabetes. Diabetes. 2015;64:1794–1803. doi: 10.2337/db14-0635. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Bagherpour G, et al. Oral administration of recombinant Saccharomyces boulardii expressing ovalbumin-CPE fusion protein induces antibody response in mice. Front. Microbiol. 2018;9:723. doi: 10.3389/fmicb.2018.00723. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Liu CH, Chang JH, Chang YC, Mou KY. Treatment of murine colitis by Saccharomyces boulardii secreting atrial natriuretic peptide. J. Mol. Med. (Berl) 2020;98:1675–1687. doi: 10.1007/s00109-020-01987-8. [DOI] [PubMed] [Google Scholar]
  • 26.Durmusoglu D, et al. In situ biomanufacturing of small molecules in the Mammalian gut by probiotic Saccharomyces boulardii. ACS Synth. Biol. 2021;10:1039–1052. doi: 10.1021/acssynbio.0c00562. [DOI] [PubMed] [Google Scholar]
  • 27.Everard, A., Matamoros, S., Geurts, L., Delzenne, N. M. & Cani, P. D. Saccharomyces boulardii Administration Changes Gut Microbiota and Reduces Hepatic Steatosis, Low-Grade Inflammation, and Fat Mass in Obese and Type 2 Diabetic db/db Mice. mBio5(3), e01011–14 (2014). [DOI] [PMC free article] [PubMed]
  • 28.McFarland LV. Systematic review and meta-analysis of Saccharomyces boulardii in adult patients. World J. Gastroenterol. WJG. 2010;16:2202. doi: 10.3748/wjg.v16.i18.2202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Pothoulakis C, et al. Saccharomyces boulardii inhibits Clostridium difficile toxin A binding and enterotoxicity in rat ileum. Gastroenterology. 1993;104:1108–1115. doi: 10.1016/0016-5085(93)90280-P. [DOI] [PubMed] [Google Scholar]
  • 30.Castagliuolo I, Thomas Lamont J, Nikulasson ST, Pothoulakis C. Saccharomyces boulardii protease inhibits Clostridium difficile toxin A effects in the rat ileum. Infect. Immun. 1996;64:5225. doi: 10.1128/iai.64.12.5225-5232.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Dalmasso G, et al. Saccharomyces boulardii Inhibits inflammatory bowel disease by trapping T cells in mesenteric lymph nodes. Gastroenterology. 2006;131:1812–1825. doi: 10.1053/j.gastro.2006.10.001. [DOI] [PubMed] [Google Scholar]
  • 32.Kelesidis T, Pothoulakis C. Efficacy and safety of the probiotic Saccharomyces boulardii for the prevention and therapy of gastrointestinal disorders. Ther. Adv. Gastroenterol. 2012;5:111. doi: 10.1177/1756283X11428502. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Hudson LE, et al. Functional Heterologous protein expression by genetically engineered probiotic yeast Saccharomyces boulardii. PLoS ONE. 2014;9:e112660. doi: 10.1371/journal.pone.0112660. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Liu JJ, et al. Metabolic engineering of probiotic Saccharomyces boulardii. Appl. Environ. Microbiol. 2016;82:2280. doi: 10.1128/AEM.00057-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Khatri, I., Tomar, R., Ganesan, K., Prasad, G. S. & Subramanian, S. Complete genome sequence and comparative genomics of the probiotic yeast Saccharomyces boulardii. Sci. Rep.7(1), 1–12 (2017). [DOI] [PMC free article] [PubMed]
  • 36.Hudson LE, et al. Characterization of the probiotic yeast Saccharomyces boulardii in the healthy mucosal immune system. PLoS ONE. 2016;11:e0153351. doi: 10.1371/journal.pone.0153351. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Michael S, et al. Quantitative phenotyping of inflammatory bowel disease in the IL-10-deficient mouse by use of noninvasive magnetic resonance imaging. Inflamm. Bowel Dis. 2013;19:185–193. doi: 10.1002/ibd.23006. [DOI] [PubMed] [Google Scholar]
  • 38.Liu CH, Chang JH, Chang YC, Mou KY. Treatment of murine colitis by Saccharomyces boulardii secreting atrial natriuretic peptide. J. Mol. Med. 2020;98:1675–1687. doi: 10.1007/s00109-020-01987-8. [DOI] [PubMed] [Google Scholar]
  • 39.Blehaut H, Massot J, Elmer GW, Levy RH. Disposition kinetics of Saccharomyces boulardii in man and rat. Biopharm. Drug Dispos. 1989;10:353–364. doi: 10.1002/bdd.2510100403. [DOI] [PubMed] [Google Scholar]
  • 40.Chen K, et al. A probiotic yeast-based immunotherapy against Clostridioides difficile infection. Sci. Transl. Med. 2020;12:567. doi: 10.1126/scitranslmed.aax4905. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Fietto JLR, et al. Molecular and physiological comparisons between Saccharomyces cerevisiae and Saccharomyces boulardii. Can. J. Microbiol. 2011;50:615–621. doi: 10.1139/w04-050. [DOI] [PubMed] [Google Scholar]
  • 42.Edwards-Ingram L, et al. Genotypic and physiological characterization of saccharomyces boulardii, the Probiotic Strain of Saccharomyces cerevisiae. Appl. Environ. Microbiol. 2007;73:2458. doi: 10.1128/AEM.02201-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Franklin CL, Ericsson AC. Microbiota and reproducibility of rodent models. Lab. Anim. NY. 2017;46:114. doi: 10.1038/laban.1222. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Tirelle P, et al. Comparison of different modes of antibiotic delivery on gut microbiota depletion efficiency and body composition in mouse. BMC Microbiol. 2020;20:1–10. doi: 10.1186/s12866-020-02018-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Kennedy EA, King KY, Baldridge MT. Mouse microbiota models: comparing germ-free mice and antibiotics treatment as tools for modifying gut bacteria. Front. Physiol. 2018;9:1534. doi: 10.3389/fphys.2018.01534. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Levy M, et al. Microbiota-modulated metabolites shape the intestinal microenvironment by regulating NLRP6 inflammasome signaling. Cell. 2015;163:1428–1443. doi: 10.1016/j.cell.2015.10.048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Song HK, Hwang DY. Use of C57BL/6N mice on the variety of immunological researches. Lab. Anim. Res. 2017;33:119. doi: 10.5625/lar.2017.33.2.119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Ingalls AM, Dickie MM, Snell GD. Obese, a new mutation in the house mouse*. J. Hered. 1950;41:317–318. doi: 10.1093/oxfordjournals.jhered.a106073. [DOI] [PubMed] [Google Scholar]
  • 49.Suleiman JB, Mohamed M, Bakar ABA. A systematic review on different models of inducing obesity in animals: advantages and limitations. J. Adv. Vet. An. Res. 2020;7:103. doi: 10.5455/javar.2020.g399. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Matsuo N, et al. Behavioral profiles of three C57BL/6 substrains. Front. Behav. Neurosci. 2010;4:29. doi: 10.3389/fnbeh.2010.00029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Kiselycznyk C, Holmes A. All (C57BL/6) mice are not created equal. Front. Neurosci. 2011;0:10. doi: 10.3389/fnins.2011.00010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Long LL, et al. Shared and distinctive features of the gut microbiome of C57BL/6 mice from different vendors and production sites, and in response to a new vivarium. Lab Anim. 2021;50(7):185–195. doi: 10.1038/s41684-021-00777-0. [DOI] [PubMed] [Google Scholar]
  • 53.Kozakova H, et al. Colonization of germ-free mice with a mixture of three lactobacillus strains enhances the integrity of gut mucosa and ameliorates allergic sensitization. Cell. Mol. Immunol. 2015;13(2):251–262. doi: 10.1038/cmi.2015.09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Conway, T., Krogfelt, K. A. & Cohen, P. S. The life of commensal Escherichia coli in the mammalian intestine. EcoSal Plus1(1). 10.1128/ecosalplus.8.3.1.2 (2004). [DOI] [PubMed]
  • 55.Schinner SAC, et al. Escherichia coli EDL933 requires gluconeogenic nutrients to successfully colonize the intestines of streptomycin-treated mice precolonized with E. coli Nissle 1917. Infect. Immun. 2015;83:1983–1991. doi: 10.1128/IAI.02943-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Croswell A, Amir E, Teggatz P, Barman M, Salzman NH. Prolonged impact of antibiotics on intestinal microbial ecology and susceptibility to enteric salmonella infection. Infect. Immun. 2009;77:2741. doi: 10.1128/IAI.00006-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Seelbinder B, et al. Antibiotics create a shift from mutualism to competition in human gut communities with a longer-lasting impact on fungi than bacteria. Microbiome. 2020;8:1–20. doi: 10.1186/s40168-020-00899-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Gibson DG, et al. Enzymatic assembly of DNA molecules up to several hundred kilobases. Nat. Methods. 2009;6(5):343–345. doi: 10.1038/nmeth.1318. [DOI] [PubMed] [Google Scholar]
  • 59.Lõoke M, Kristjuhan K, Kristjuhan A. Extraction of genomic DNA from yeasts for PCR-based applications. Biotechniques. 2011;50:325. doi: 10.2144/000113672. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Gietz RD, Woods RA. Yeast transformation by the LiAc/SS carrier DNA/PEG method. Methods Mol. Biol. 2006;313:107–120. doi: 10.1385/1-59259-958-3:107. [DOI] [PubMed] [Google Scholar]
  • 61.du Sert NP, et al. Reporting animal research: explanation and elaboration for the ARRIVE guidelines 2.0. PLOS Biol. 2020;18:e3000411. doi: 10.1371/journal.pbio.3000411. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Laukens D, Brinkman BM, Raes J, de Vos M, Vandenabeele P. Heterogeneity of the gut microbiome in mice: guidelines for optimizing experimental design. FEMS Microbiol. Rev. 2016;40:117–132. doi: 10.1093/femsre/fuv036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Klappenbach JA, Saxman PR, Cole JR, Schmidt TM. rrndb: the ribosomal RNA operon copy number database. Nucleic Acids Res. 2001;29:181. doi: 10.1093/nar/29.1.181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Amend AS, Seifert KA, Bruns TD. Quantifying microbial communities with 454 pyrosequencing: does read abundance count? Mol. Ecol. 2010;19:5555–5565. doi: 10.1111/j.1365-294X.2010.04898.x. [DOI] [PubMed] [Google Scholar]
  • 65.Baldrian P, et al. Estimation of fungal biomass in forest litter and soil. Fungal Ecol. 2013;6:1–11. doi: 10.1016/j.funeco.2012.10.002. [DOI] [Google Scholar]

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