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Bifidobacterium mongoliense genome seems particularly adapted to milk oligosaccharide digestion leading to production of antivirulent metabolites

BMC Microbiology volume 20, Article number: 111 (2020) Cite this article

Abstract

Background

Human milk oligosaccharides (HMO) could promote the growth of bifidobacteria, improving young children’s health. In addition, fermentation of carbohydrates by bifidobacteria can result in the production of metabolites presenting an antivirulent activity against intestinal pathogens. Bovine milk oligosaccharides (BMO), structurally similar to HMO, are found at high concentration in cow whey. This is particularly observed for 3′-sialyllactose (3′SL). This study focused on enzymes and transport systems involved in HMO/BMO metabolism contained in B. crudilactis and B. mongoliense genomes, two species from bovine milk origin. The ability of B. mongoliense to grow in media supplemented with whey or 3′SL was assessed. Next, the effects of cell-free spent media (CFSM) were tested against the virulence expression of Escherichia coli O157:H7 and Salmonella enterica serovar Typhimurium.

Results

Due to the presence of genes encoding β-galactosidases, β-hexosaminidases, α-sialidases and α-fucosidases, B. mongoliense presents a genome more sophisticated and more adapted to the digestion of BMO/HMO than B. crudilactis (which contains only β-galactosidases). In addition, HMO/BMO digestion involves genes encoding oligosaccharide transport systems found in B. mongoliense but not in B. crudilactis. B. mongoliense seemed able to grow on media supplemented with whey or 3′SL as main source of carbon (8.3 ± 1.0 and 6.7 ± 0.3 log cfu/mL, respectively). CFSM obtained from whey resulted in a significant under-expression of ler, fliC, luxS, stx1 and qseA genes (− 2.2, − 5.3, − 2.4, − 2.5 and − 4.8, respectively; P < 0.05) of E. coli O157:H7. CFSM from 3′SL resulted in a significant up-regulation of luxS (2.0; P < 0.05) gene and a down-regulation of fliC (− 5.0; P < 0.05) gene. CFSM obtained from whey resulted in significant up-regulations of sopD and hil genes (2.9 and 3.5, respectively; P < 0.05) of S. Typhimurium, while CFSM obtained from 3′SL fermentation down-regulated hil and sopD genes (− 2.7 and − 4.2, respectively; P < 0.05).

Conclusion

From enzymes and transporters highlighted in the genome of B. mongoliense and its potential ability to metabolise 3′SL and whey, B. mongoliense seems well able to digest HMO/BMO. The exact nature of the metabolites contained in CFSM has to be identified still. These results suggest that BMO associated with B. mongoliense could be an interesting synbiotic formulation to maintain or restore intestinal health of young children.

Background

The carbohydrate sources present in food influence microbiota composition and have an impact on young children’s health [1,2,3]. Simple and linear oligosaccharides, such as galacto-oligosaccharides (GOS) and fructo-oligosaccharides (FOS), are added to infant milk formula. They are bifidogenic but can be metabolised as well by other bacteria such as Bacteroides spp. or Clostridium spp., other bacteria found in the microbiota [4, 5]. In comparison, human milk is rich in complex sugars called human milk oligosaccharides (HMO). More than 500 structures have been identified and their concentration can reach up to 50 g/L or more in the colostrum [6] and 15 g/L in the mature milk [7]. The presence of α- and β-bonds protects them against digestion by the host and by most bacteria. A little quantity of HMO is absorbed across the epithelial barrier to reach the systemic circulation and then be excreted in the urine [8]. In addition, free milk oligosaccharides are able to decrease pathogen colonisation of intestinal cells by altering cell surface glycosylation and to increase bifidobacteria adherence [9].

In children’s faeces, the microbiota is dominated by Bifidobacterium longum (56.2%) and Bifidobacterium bifidum (10.7%) [10]. These two species, especially Bifidobacterium longum subsp. infantis, possess the enzymatic activity able to degrade these specific α- and β-bonds [11, 12]. In addition, the bifidobacteria proportion in breastfed children’s faeces can reach more than 90% [13]. In addition, bifidobacteria and lactic acid bacteria produce several metabolites inhibiting virulence gene expression of different pathogenic bacteria such as Escherichia coli O157:H7 [14, 15], Salmonella enterica serovar Typhimurium SA 941256 [16, 17] and Campylobacter jejuni [18].

Because they have a similar structure, bovine milk oligosaccharides (BMO) share common properties with HMO. More than 60 BMO have been identified [7] and a significant overlap between BMO and HMO has been demonstrated [19]. The BMO concentration in bovine milk is 20-fold lower than the HMO concentration in human milk [19]. In addition, the BMO degree of polymerisation is lower and fucosylated oligosaccharides are very poorly represented [19,20,21,22]. Like HMO, BMO present α- and β-bonds and are therefore protected against degradation by other bacteria [4]. With a concentration of 0.85 g/L in colostrum, the 3′-sialyllactose (3′SL: NeuAcα2–3Galβ1–4Glc) is one of the most important BMO found in cow milk [23, 24].

The whey, a by-product issued from the dairy industry, is obtained after the casein precipitation [25]. Its composition, depending on the method of cheese manufacture, is rich in protein such as β-lactoglobulin and α-lactalbumin, in lactose and in minerals [26]. The whey permeate (whey stripped of its large proteins after membrane filtration) contains the BMO found in the milk and may be considered as a potential source of prebiotics able to improve human health [25]. In addition, the high quantities of whey produced by the dairy industry could easily contribute to an oligosaccharides production at very large-scale, increasing its economic value [27]. The 3′SL is the most abundant oligosaccharide found in the whey permeate and its concentration in a whey issued from colostrum reached 94 g/L [28]. The consumption of BMO issued from whey is safe and well-tolerated [29] and its supplementation with an appropriate probiotic had a bifidogenic effect [30].

The epithelial adhesion of B. longum subsp. infantis ATCC 15697 was improved up to 9.8-fold to HT-29 cells in presence of 3′SL and 6′sialyllactose (6’SL) [31] and up to 3.3-fold in the presence of immunoglobulin G enriched from bovine whey oligosaccharides [32]. Zeinhom et al. [15] highlighted the protective effect of Lactobacillus acidophilus La-5 grown in medium supplemented with whey against enterohaemorrhagic E. coli (EHEC) infection in mice. Recently, Cooper et al. [33] demonstrated that a synbiotic combination of B. animalis subsp. lactis CNCM I-3446 and whey permeate containing 3′SL had a strong bifidogenic effect on microbiota of children who were born to an HIV+ mother.

Before reaching the colon to digest oligosaccharides, bifidobacteria must survive the stomach acidity, bile salts and pancreatic enzymatic activity. Most bifidobacteria do not support the presence of oxygen, making their production at industrial scale more challenging. Two bifidobacterial strains isolated from raw cow milk cheese, Bifidobacterium mongoliense FR/49/f/2 and Bifidobacterium crudilactis FR/62/b/3, are able to tolerate presence of oxygen and acidity [34, 35]. In addition, their genome could encode enzymes degrading BMO [36]. Therefore, these two strains could be an interesting source of probiotics for formula supplementation [35].

The first aim of this study was to determine the enzymes and transport systems involved in BMO degradation using the complete genome of B. crudilactis LMG 23609 and B. mongoliense DSM 21395. The second aim of this work was to evaluate the potential growth of B. mongoliense FR/49/f/2 in culture media supplemented with whey or 3′SL and to assess the effects of filtered supernatants on virulence expression of E. coli O157:H7 and S. Typhimurium.

Results

Enzymes and transporters involved in milk oligosaccharides

From genome analysis of B. mongoliense DSM 21395, 57 genes encoding for glycoside hydrolases (GH) were identified (Fig. 1a), among which 10 encode for GH family GH3, 12 for GH13 and 2 for GH33. Seventy and 19 genes encoding for glycoside transferases (GT) and carbohydrate-binding modules (CBM) were found, respectively (Fig. 1b and c). Six genes encoding for enzymes involved in HMO or BMO degradation were highlighted: one cytoplasmic β-hexosaminidase (GH20), one cytoplasmic α-L-fucosidase (GH95), two cytoplasmic β-galactosidases (GH2 and GH42) and two extracellular α-sialidases (GH33) (Fig. 2). In addition, 36 genes were predicted to be involved in sugars transport, among which 12 encode for HMO or BMO monosaccharides and oligosaccharides (Fig. 3b). Putative transporters belonging to the TCDB family 3.A.1.24, 3.A.1.25 and 3.A.1.2.20 provided glucose transport. Putative transporters 3.A.1.1.18, 3.A.1.2.22 and 3.A.1.1.48 assured transport of GlcNAc, oligosaccharides and lacto-N-biose or galacto-N-biose, respectively.

Fig. 1
figure 1

Enzymatic profiles involved in sugar degradation by B. crudilactis and B. mongoliense. Heat maps showing the number of genes identified for each glycoside hydrolases (GH) family (a), glycoside transferases (GT) family (b) and each carbohydrate-binding modules (CBM) family (c) in B. crudilactis and B. mongoliense genomes

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Fig. 2
figure 2

Digestion of milk oligosaccharides by B. crudilactis and B. mongoliense. The figure reports the presence/absence and CAZy classification of genes involved in milk oligosaccharides metabolism found in B. crudilactis and B. mongoliense genomes. Genes predicted to be intracellular are written in black while genes predicted to be extracellular are written in orange. ORF: open reading frame; GH: glycoside hydrolase

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Fig. 3
figure 3

Sugar transporters identified in B. crudilactis (a) and B. mongoliense (b) genomes. Genes involved in milk sugars transport are indicated in red while the others are indicated in black. An E-value close to zero is indicated in dark yellow while an E-value far from zero is indicated in pale yellow. ORF: open reading frame; TCDB: Transporter classification database; E: E-value

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From genome analysis of B. crudilactis LMG 23609, 48 genes encoding for GH were identified (Fig. 1a), among which 3 encode for GH family GH3 and 12 for GH13. Sixty-eight and 19 genes encoding for GT and CBM were found, respectively (Fig. 1b and c). Two genes encoding for cytoplasmic β-galactosidases (GH2 and GH42) were highlighted (Fig. 2). From the B. mongoliense DSM 21395 genome, 28 genes were predicted to be involved in sugars transport, among which eight encode for HMO or BMO monosaccharides and oligosaccharides (Fig. 3b). Putative transporters belonging to the TCDB family 2.A.1.68.1 and 2.A.7.5.5 provided glucose transport. Putative transporters 2.A.2.2.3 and 3.A.1.1.48 assured transport of galactose and lacto-N-biose or galacto-N-biose, respectively.

Growth of B. mongoliense strain FR/49/f/2

The highest counts were observed on MRS2-G and MRS2-Wh media (8.6 ± 0.8 log cfu/mL and 8.3 ± 1.0 log cfu/mL, respectively) and the lowest count on MRS2–3′SL medium (6.7 ± 0.3 log cfu/mL). No growth was observed on MRS2 medium (6.0 ± 0.1 log cfu/mL) (Table 1).

Table 1 Counts of B. mongoliense after incubation in MRS2, MRS2-G, MRS2-Wh and MRS2–3′SL media
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Effect of CFSM on E. coli O157:H7 virulence gene expression

After an incubation of 4 h, the CFSM had no negative impact on growth. The average OD of E. coli O157:H7 at 600 nm after 4 h exposure was around 0.91 ± 0.14, while it was initially at 0.05 ± 0.03. The CFSM obtained from MRS2-Wh medium induced statistically significant down-regulation of ler, fliC, luxS, stx1 and qseA genes (− 2.2, − 5.3, − 2.4, − 2.5 and − 4.8, respectively; P < 0.05) (Fig. 4c). The CFSM from MRS2 medium induced a significant down-regulation of fliC, luxS and stx1 genes (− 15.8, − 9.5 and − 2.3, respectively; P < 0.05) (Fig. 4a). A significant increase of ler gene expression was observed with this same medium, but too low to be biologically meaningful (1.7; P < 0.05). CFSM from MRS2-G medium tended to over-express the luxS gene (2.2) and two significant up-regulations of ler and stx1 genes (5.3 and 2.5, respectively; P < 0.05) were observed (Fig. 4b). A significant down-regulation of the fliC gene was noted with the CFSM from MRS2–3′SL medium (− 5.2; P < 0.05) (Fig. 4d). A significant up-regulation was also observed with the luxS gene (2.0; P < 0.05), while the significant increase of the stx1 gene expression was considered too low to be biologically meaningful (1.6; P < 0.05). The details of the cycle threshold values corresponding to the effects of CFSM on E. coli O157:H7 genes expression are available in the Additional file 1: Table S1.

Fig. 4
figure 4

Effects of tested CFSM on E. coli O157:H7 virulence expression. Virulence modulations observed with CFSM obtained from MRS2 (a), MRS2-G (b), MRS2-Wh (c) and MRS2–3′SL (d) media fermented by B. mongoliense after 4 h of incubation. Gene expression ratios of E. coli O157:H7 were normalised to the housekeeping gene gnd and compared with those of the unfermented media. Values are expressed as the average of at least 3 independent replicates, bars representing standard errors. Negative values (lower than − 2) represent down-regulation of genes and positive values (higher than 2) represent up-regulation of genes. The ratio presented in this figure were considered with a calibrator ratio resulting from a control population (without modulation of gene expression). To determine a significant modulation of the ratio before and after contact with CFSM, a Wilcoxon test for paired samples was performed where p < 0.05 was considered as significant. *P < 0.05

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Effect of CFSM on S. Typhimurium virulence gene expression

After the 4 h incubation, the OD measurements showed no negative impact on growth. The average OD of S. Typhimurium at 600 nm and after 4 h of exposure was 0.90 ± 0.04, while it was initially at 0.05 ± 0.02. CFSM obtained from MRS2 medium induced a significant up-regulation of the sopD gene (2.8; P < 0.05) (Fig. 5a) while the MRS2-Wh CFSM led to significant up-regulation of sopD and hil genes (2.9 and 3.4, respectively; P < 0.05) (Fig. 5c).

Fig. 5
figure 5

Effects of tested CFSM on S. Typhimurium virulence expression. Virulence modulations observed with CFSM obtained from MRS2 (a), MRS2-G (b), MRS2-Wh (c) and MRS2–3′SL (d) media fermented by B. mongoliense after 4 h of incubation. Gene expression ratios of S. Typhimurium were normalised to the housekeeping gene gmk and compared with those of the unfermented media. Values are expressed as the average of at least 3 independent replicates, bars representing standard errors. Negative values (lower than − 2) represent down-regulation of genes and positive values (higher than 2) represent up-regulation of genes. The ratio presented in this figure were considered with a calibrator ratio resulting from a control population (without modulation of gene expression). To determine a significant modulation of the ratio before and after contact with CFSM, a Wilcoxon test for paired samples was performed where p < 0.05 was considered as significant. *P < 0.05

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Three significant up-regulations of hil, ssrB2 and sopD genes (11.6, 37.2, 47.5, respectively; P < 0.05) were noted for the CFSM from MRS2-G medium (Fig. 5b). A trend for down-regulation of hil and sopD genes (− 2.7 and − 4.2, respectively) was observed with CFSM obtained from MRS-3′SL medium (Fig. 5d). The details of the cycle threshold values corresponding to the effects of CFSM on S. Typhimurium genes expression are available in the Additional file 2: Table S2.

Discussion

As explained previously, B. mongoliense FR/49/f/2 and B. crudilatis FR/62/b/3 are both from bovine origin [35] but B. mongoliense seems to have an enzymatic arsenal more sophisticated to digest BMO compared to B. crudilactis. In the B. mongoliense DSM21395 genome, many genes encoded enzymes belonging to the GH families involved in complex carbohydrates degradation, such as GH2 (β-galactosidase), GH3 (glucosidases), GH13 (amylases), GH20 (β-hexosaminidases), GH33 (α-sialidases), GH42 (β-galactosidases) and GH95 (α-L-fucosidases). Those genes were found in the B. crudilactis LMG 23609 genome too, with exception of those encoding for GH20 and GH95 (involved in HMO or BMO digestion) and GH33, which could be considered an advanced genetic adaptation to the intestinal environment due to its involvement in degradation of both HMO/BMO and intestinal glycoconjugates such as mucin [37]. In addition, with its 14 potential genes involved in milk sugars transport, half of them being related to transfer of oligosaccharides, the transport system of B. mongoliense DSM21395 seems more efficient compared to B. crudilactis LMG 23609. Regarding B. crudilactis LMG 23609, eight potential genes are involved in milk sugar transport and most of them are involved in the transport of monosaccharides such as glucose and galactose. From the analysis of the TCDB families, B. mongoliense DSM21395 and B. crudilactis LMG 23609 could be able to transport LNB. However, LNB is a disaccharide associated with HMO rather than BMO [22]. Indeed, for most of the HMO, Gal and GlcNAc are linked to β1–3 liaison (corresponding to LNB in HMO), contrarily to BMO, for which Gal and GlcNAc are linked to β1–4 liaison (related to LacNac in BMO). In addition, the very high E-values observed with transporters belonging to the TCDB family 3.A.1.1.48 indicate a very low confidence index and could suggest that another disaccharide close to LNB, such as LacNac, could be internalised by B. mongoliense DSM21395 or B. crudilactis LMG 23609.

According to the schematic representation of the BMO metabolism available in the Additional file 3: Figure S3, B. mongoliense could be able to digest most of the oligosaccharides found in BMO, except the sialic acid, which is supposed to stay in the external environment. In the same way, B. mongoliense could be able to metabolise 3′SL (NeuAcα2–3Galβ1–4Glc) using an extracellular α-sialidase. Then, the lactose (Galβ1–4Glc) could be internalised using an ABC transporter and metabolised using a cytoplasmic β-galactosidase. According to this representation, the BMO or 3′SL degradation by B. crudilactis seems impossible without a previous cross-feeding step involving other bifidobacteria.

B. mongoliense FR/49/f/2 showed good growth on media supplemented with either whey or glucose, whey contribution making no significant difference compared to glucose. In addition, whey is rich in lactose [38], a carbohydrate source easily consumed by bifidobacteria [39], and in several BMO (encompassing 3′SL) [25]. Finally, the important growth observed with the medium supplemented with whey is probably due to the high concentration in lactose, glucose and potentially BMO. Interestingly, the strain B. mongoliense FR/49/f/2 grew on medium containing 3′SL as the main carbohydrate source, in comparison to the absence of growth observed on medium without any carbohydrate source. According to B. mongoliense DSM21395 genome analysis, this growth could result from the expression of the enzymes cleaving BMO or 3′SL bonds, such as α-sialidases, β-galactosidases and β-hexosaminidases. Genes involved in BMO degradation are also present in other bifidobacteria such as B. bifidum subsp. infantis and B. bifidum [36, 39, 40].

CFSM issued from lactic acid bacteria or bifidobacteria contained metabolites decreasing virulence genes expression of C. jejuni [18], E. coli O157:H7 [16] and S. Typhimurium [17]. In our study, CFSM obtained from medium supplemented with whey and fermented by B. mongoliense FR/49/f/2 was able to decrease E. coli O157:H7 ATCC 43890 virulence. All the 5 tested virulence genes were significantly under-expressed (ler, fliC, luxS, stx1 and qseA). Furthermore, with CFSM obtained from medium fermented without any glucose, three genes were significantly down-regulated (fliC, luxS and stx1). In the study of Bondue et al. [41], CFSM obtained from medium supplemented with 3′SL and fermented by B. bifidum BBA1 and B. crudilactis FR/62/B/3 presented a significant effect against E. coli O157:H7 ATCC 43890 virulence genes expression. Indeed, most of the virulence genes were down-regulated (ler, luxS, stxB2 and qseA), except the fliC gene, which tended to be up-regulated. These results are different from what is observed in this study with B. mongoliense (significant down-regulation of fliC gene and significant up-regulation of luxS and stx1 genes). According to the genome of B. mongoliense, including many genes encoding enzymes from the GH family, metabolites produced in medium supplemented with 3′SL and fermented by B. mongoliense FR/49/f/2 could be different than those produced by B. crudilactis FR/62/B/3 and B. bifidum BBA1. Also, the down-regulation of the fliC gene while other virulence genes were up-regulated has already been demonstrated in other studies [42,43,44]. The media MRS2-G and MRS2-Wh are rich in carbohydrates, and fermentation products such as lactate and acetate are synthesised. To prevent an inhibition of pathogenic bacteria growth due to media acidification, all CFSM were neutralised before testing them with E. coli or S. Typhimurium as described previously [16, 41].

After contact with the CFSM, S. Typhimurium ATCC 14028 virulence gene expression was modulated, but not always in the same way as E. coli O157:H7 ATCC 43890. The CFSM from medium supplemented with glucose gave the same kind of regulation for both pathogens, and all the tested genes were over-expressed with S. Typhimurium (hil, ssrB2 and sopD). CFSM from media without any glucose or supplementation with whey down-regulated E. coli virulence genes, while these CFSMs induced mainly up-regulations of Salmonella virulence genes (hil and sopD). The only trend for down-regulation of Salmonella virulence genes was observed with CFSM supplemented with 3′SL (hil and sopD genes). The metabolites obtained from the fermentation of 3′SL by B. mongoliense could decrease pathogenicity of S. Typhimurium. This effect had already been observed with CFSM fermented by B. bifidum BBA1, where all the tested genes were under-expressed [41].

Little is known about the exact nature of these metabolites. These bioactive molecules could originate from the degradation of proteins such as nisin or subpeptins similar to JM4-A and JM4-B, produced by lactic bacteria and having an antimicrobial effect [45, 46]. The 3′SL or whey digestion by B. crudilactis FR/62/b/3 or B. mongoliense FR/49/f/2 has an antivirulent effect on E. coli O157:H7 and S. Typhimurium [41] and these bioactive molecules could be related to some carbohydrate residues, if they are obtained from carbohydrate metabolism. β-galactosidase genes, necessary for 3′SL degradation, have been identified in the B. crudilactis LMG 23609 genome but do not seem sufficient to easily metabolise the BMO. The enzymatic machinery proposed for BMO degradation identified in the B. mongoliense DSM21395 genome is more sophisticated with the putative presence of β-galactosidases, but also with α-sialidases and β-hexosaminidases. This highlights the putative capacity of B. mongoliense to metabolise the 3′SL and other complex BMO. The carbohydrate residues issuing from this degradation, such as sialic acid, glc, gal or GlcNac, could be involved in this antivirulent effect (Figure S3). The potential metabolites from 3′SL or whey degradation are probably different from those mentioned above and could explain why the 3′SL and whey fermentation by B. mongoliense FR/49/f/2 CFSM did not have the same antivirulence effect on E. coli O157:H7 compared to B. crudilactis FR/62/b/3 CFSM. Information is lacking about the exact nature of these molecules (peptides or glucidic residues), and a size-exclusion chromatography in association with a mass spectrometry could contribute to further identifying them.

Conclusions

In conclusion, according to the genome analysis of B. mongoliense DSM21395 associated to the growth of B. mongoliense FR/49/f/2 on media supplemented with whey or 3′SL, B. mongoliense presents a genotype more adapted to the digestion of BMO compared to B. crudilactis. These two different kinds of metabolism observed for these two bifidobacteria species from bovine origin could have an impact on the nature of produced residual metabolites, which could differ in their influence on the virulence expression of pathogens. CFSM obtained from medium supplemented with whey and fermented by B. mongoliense FR/49/f/2 presented the most interesting effect by decreasing the virulence expression of the five tested genes of E. coli O157:H7 (ler, fliC, luxS, stx1 and qseA). For S. Typhimurium, the CFSM obtained after 3′SL fermentation presented the most interesting effect by decreasing 2 of the 3 tested genes (hil and sopD). According to this study, B. mongoliense FR/49/f/2 could be a potential probiotic, which associated to BMO, could maintain the young child’s gastrointestinal health through a synbiotic effect.

Methods

Genome analysis

The genomes of the two reference strains, B. crudilactis LMG 23609 and B. mongoliense DSM 21395 are available on GenBank using accession number JHAL00000000 and JGZE00000000, respectively [35, 36, 47]. The encoded genomes were submitted to homology search against the CAZy database (PMID: 24270786) using the MEGAnnotator software (REF PMID: 26936607). Transporters’ specificity was predicted by means of the Transporter Classification DataBase (TCDB) (REF PMID: 26546518). Cellular localisation of putative HMO/BMO degradation genes was defined based on the PSORTb v3.0 web server (REF PMID: 20472543).

Bacterial strains and growth conditions

B. mongoliense FR/49/f/2 and B. crudilactis FR/62/b/3 have been isolated from Saint-Marcellin, a raw cow milk cheese from the Vercors area (France). These strains as well as EHEC strain O157:H7 ATCC 43890 and S. enterica serovar Typhimurium strain ATCC 14028 were stored and grown following the experimental protocol described previously by Bondue et al. [41].

Four media with different carbohydrate sources were used: a medium without any glucose (MRS2), a reference medium with glucose (MRS2-G) [48], a medium with a mix of glucose and whey as a source of BMO (MRS2-Wh), and a medium with 3′SL (MRS2–3′SL) as the main source of carbohydrate (Table 2). The yeast extract, peptone of casein and glucose were provided by the Oxoid firm (Temse, Belgium). The tween 80 was provided by Sigma-Aldrich Laboratory (Diegem, Belgium) and the K2HPO4, KH2PO4, NaCl, MnSO4.H2O, MgSO4.7H2O, FeSO4.7H2O and cysteine by Merck Laboratory (Overijse, Belgium). Sweet whey (12°D) was collected at the beginning of a curdling process in a Belgian cheese factory (Liège area, Belgium) and frozen at − 20 °C before further use. Whey was then sterilised using double filtration (Minisart® 0.45 μm and 0.2 μm, Sartorius, Vilvoorde, Belgium). The quantities of lactose and protein in MRS2-Wh medium were estimated to be around 25 g/L and 4 g/L, respectively [38]. The 3′SL, added to MRS2–3′SL, was provided by Carbosynth Laboratory (Berkshire, UK). The purity of the 3′SL was of minimum 98%. The concentration of 0.85 g/L was chosen to be close to natural concentrations found in colostrum [23]. The experiments to obtain the concentrated CFSM containing bioactive molecules issued from B. crudilactis FR/62/b/3 metabolism, were elaborated by Bondue et al. [41]. B. mongoliense FR/49/f/2 was grown in three independent experiments on De Man, Rogosa, and Sharpe (MRS) medium (Oxoid, Hampshire, UK) supplemented with cysteine-HCl (0.5 g/L) and mupirocin (0.08 g/L) under anaerobic conditions at 37 °C for 48 h. A maximum of two successive cultures have been carried out in MRS broth to reach 8 log/mL, prior to use. Next, the cultures were used to inoculate the four previously described media to reach 6 log/mL of bifidobacteria (1% v/v) (concentration was confirmed by plating several dilutions of bifidobacteria at day 0 post inoculation). Bacterial growth was determined using viable plate counts after 48 h incubation. CFSM were obtained after two centrifugation steps at 5000 rpm (Eppendorf Centrifuge 5804, Hamburg, Germany) for 10 min. Supernatants were then sterilised by double filtration (Minisart® 0.45 μm and 0.2 μm, Sartorius, Vilvoorde, Belgium). Next, CFSM were freeze-dried (Virtis Benchtop 3.3EL, SPS Scientific, Suffolk, United Kingdom) and rehydrated with sterile distilled water to obtain a 10-fold concentration. The same treatment was applied to non-fermented culture media (controls). To prevent an inhibition of pathogenic bacteria growth due to media acidification, the pH of rehydrated CFSM was adjusted to 7 using 1 M NaOH.

Table 2 Composition of the modified MRS2 media adapted from Tanimomo et al. [48]
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Exposure of pathogenic strains to CFSM, gene expression analysis by RT-qPCR and statistical analysis

The applied method was fully described in the previous study of Bondue et al. [41]. E. coli O157:H7 ATCC 43890 and S. Typhimurium ATCC 14028 were incubated overnight at 37 °C under agitation in LB and BHI broth, respectively. Volumes of 50 μL of homogenised cultures and 450 μL of each concentrated CFSM (fermented and unfermented) were then added to 4.5 mL of LB broth for E. coli and BHI broth for S. Typhimurium. Triplicate cultures were incubated at 37 °C for 4 h [49] on a shaker at 150 rpm. E. coli O157:H7 and S. Typhimurium were grown in LB and BHI broth alone, respectively, as controls. Bacterial growth was determined by OD measurement at 600 nm.

Cells were then collected by centrifugation at 5000 rpm for 10 min at room temperature (Eppendorf Centrifuge 5804, Hamburg, Germany) and pellets were suspended in Tris-EDTA buffer containing 1% lysozyme (Roche, Mannheim, Germany). RNA was extracted using the RNeasy® Mini Kit (Qiagen, Antwerp, Belgium) and DNA contamination was eliminated using the DNase I Recombinant RNase-free Kit (Roche Diagnostics GmbH, Mannheim, Germany). Samples were heated at 75 °C for 10 min in order to inactivate the DNase. The concentration of RNA was normalised to 100 ng/μL for E. coli and to 50 ng/μL for S. Typhimurium. The RNA was then subjected to reverse transcription polymerase chain reaction (RT-PCR) using a high-capacity cDNA Reverse Transcription Kit (Applied Biosystems, Ghent, Belgium). Synthesis of cDNA was performed in a Mastercycler Gradient Thermocycler (Flexigene, Cambridge, United Kingdom) under the following conditions: 25 °C for 10 min, 37 °C for 120 min, 85 °C for 5 min and a cooling step at 4 °C. A no-RT control was made to confirm the absence of DNA contamination in each sample.

To highlight the effects of filtrated supernatants on virulence gene expressions of E. coli O157:H7 ATCC 43890, the expression of ler, fliC, stx1, luxS, and qseA genes was determined using qPCR with gnd as a reference housekeeping gene [50, 51]. For S. Typhimurium ATCC 14028, the virulence expressions of hilA, ssrB2 and sopD genes were assessed using gmk as a reference housekeeping gene [52]. Quantitative PCR amplification was performed using the GoTaq® qPCR Master Mix (Promega, Leiden, Netherlands) and using the Light Cycler 480 (Roche Diagnostics, Mannheim, Germany). The primers were synthesised by Eurogentec (Liège, Belgium) and had been designed and validated in previous studies [37]. The qPCR conditions for E. coli were: initial denaturation at 95 °C for 3 min; denaturation, annealing and elongation repeated 45 times: 95 °C for 15 s, 58 °C for 30 s and 72 °C for 45 s; melting curve program of 60–95 °C with a heating rate of 0.1 °C/s. The qPCR conditions for S. Typhimurium were: denaturation at 95 °C for 10 min; 40 cycles of amplification and quantification at 95 °C for 30 s, 56 °C for 30 s and 72 °C for 30 s; melting curve program of 60–95 °C with a heating rate of 0.1 °C/s. The experiments were replicated three independent times and special attention was given to the controls to exclude any potential effect observed from the non-fermented media as described previously [41, 49]. The relative changes in gene expression were calculated using the Pfaffl formula [53]: ratio = (virulence gene Efficiency)Ct unfermented – Ct fermented / (reference gene Efficiency)Ct unfermented – Ct fermented, with Efficiency = 10(− 1/slope). The ratio obtained was considered with a calibrator ratio resulting from a control population (without modulation of gene expression). To determine a significant modulation of the ratio before and after contact with CFSM, a Wilcoxon test for paired samples was performed where p < 0.05 was considered as significant.

Availability of data and materials

All data are available from the corresponding author on reasonable request.

Abbreviations

3′SL:

3′-sialyllactose

AE:

Attaching and effacing

BHI:

Brain heart infusion

BMO:

Bovine milk oligosaccharide

CBM:

Carbohydrate-binding module

CFSM:

Cell-free spent medium

E:

E-value

EHEC:

Enterohaemorrhagic Escherichia coli

FOS:

Fructo-oligosaccharide

fuc:

Fucose

gal:

Galactose

GH:

Glycoside hydrolase

GT:

Glycoside transferase

glc:

Glucose

GlcNAc:

N-acetylglucosamine

GOS:

Galacto-oligosaccharide

HIV:

Human immunodeficiency virus

HMO:

Human milk oligosaccharide

LacNac:

N-acetyllactosamine

LB:

Luria Bertani

LNB:

Lacto-N-biose

LNnt:

Lacto-N-neotetraose

LNT:

Lacto-N-tetraose

MRS:

De Man, Rogosa and Sharpe

NeuAc:

N-acetylneuraminic acid or sialic acid

NeuGc:

N-glycolylneuraminic acid

OD:

Optical density

ORF:

Open reading frame

TCDB:

Transporter classification database

T3SS:

Type III system secretion

References

  1. Arrieta MC, Stiemsma LT, Amenyogbe N, Brown EM, Finlay B. The intestinal microbiome in early life: health and disease. Front Immunol. 2014;5:427.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  2. Smilowitz JT, Lebrilla CB, Mills DA, German JB, Freeman SL. Breast milk oligosaccharides: structure-function relationships in the neonate. Annu Rev Nutr. 2014;34:1–27.

    Article  CAS  Google Scholar 

  3. Scott KP, Antoine J, Midtvedt T, Van Hemert S. Manipulating the gut microbiota to maintain health and treat disease. Microb Ecol Health Dis. 2015;1:1–10.

    Google Scholar 

  4. Chichlowski M, German JB, Lebrilla CB, Mills DA. The influence of milk oligosaccharides on microbiota of infants: opportunities for formulas. Annu Rev Food Sci Technol. 2011;2:331–51.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Scholtens PA, Goosens DA, Staiano A. Stool characteristics of infants receiving short-chain galacto-oligosaccharides and long-chain fructo-oligosaccharides: a review. World J Gastroenterol. 2014;20:13446–52.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Lane JA, O’Callaghan J, Carrington SD, Hickey RM. Transcriptional response of HT-29 intestinal epithelial cells to human and bovine milk oligosaccharides. Br J Nutr. 2013;110:2127–37.

    Article  CAS  PubMed  Google Scholar 

  7. Pacheco AR, Barile D, Underwood MA, Mills DA. The impact of the milk glycobiome on the neonate gut microbiota. Annu Rev Anim Biosci. 2015;3:419–45.

    Article  CAS  PubMed  Google Scholar 

  8. Triantis V, Bode L, van Nerveen RJJ. Immunological effects of human milk oligosaccharides. Front Pediatr. 2018;6:190.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Ross SA, Lane JA, Marotta M, Kavanaugh D, Ryan JT, Joshi L, Hickey RM. The role of oligosaccharides in host-microbial interactions for human health. J Clin Gastroenterol. 2016;50:S131–2.

    Article  CAS  PubMed  Google Scholar 

  10. Turroni F, Peano C, Pass DA, Foroni E, Severgnini M, Claesson MJ, Kerr C, Hourihane J, Murray D, Fuligni F, Gueimonde M, Margolles A, De Bellis G, O’Toole PW, van Sinderen D, Marchesi JR, Ventura M. Diversity of bifidobacteria within the infant gut microbiota. PLoS One. 2012;7:e36957.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Garrido D, Dallas DC, Mills DA. Consumption of human milk glycoconjugates by infant-associated bifidobacteria: mechanisms and implications. Microbiology. 2013;159:649–64.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Di Gioia D, Aloisio I, Mazzola G, Biavati B. Bifidobacteria: their impact on gut microbiota composition and their applications as probiotics in infants. Appl Microbiol Biotechnol. 2014;98:563–77.

    Article  PubMed  CAS  Google Scholar 

  13. Hidalgo-Cantabrana C, Delgado S, Ruiz L, Ruas-Madiedo P, Sanchez B, Margolles A. Bifidobacteria and their health-promoting effects. Microbiol Spectrum. 2017;5:3.

    Article  Google Scholar 

  14. Medellin-Pena MJ, Griffiths MW. Effect of molecules secreted by Lactobacillus acidophilus strain La-5 on Escherichia coli O157:H7 colonization. Appl Environ Microbiol. 2009;75:1165–72.

    Article  CAS  PubMed  Google Scholar 

  15. Zeinhom M, Tellez AM, Delcenserie V, El-Kholy AM, El-Shinawy SH, Griffiths MW. Yoghurt containing bioactive molecules produced by Lactobacillus acidophilus La-5 exerts a protective effect against enterohemorrhagic Escherichia coli (EHEC) in mice. J Food Prot. 2012;10:1796–805.

    Article  Google Scholar 

  16. Medellin-Pena MJ, Wang H, Johnson R, Anand S, Griffiths MW. Probiotics affect virulence-related gene expression in Escherichia coli O157:H7. Appl Environ Microbiol. 2007;73:4259–67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Bayoumi MA, Griffiths MW. In vitro inhibition of expression of virulence genes responsible for colonization and systemic spread of enteric pathogens using Bifidobacterium bifidum secreted molecules. Int J Food Microbiol. 2012;156:255–63.

    Article  CAS  PubMed  Google Scholar 

  18. Mundi A, Delcenserie V, Amiri-Jami M, Moorhead S, Griffiths MW. Cell-free preparations of Lactobacillus acidophilus strain La-5 and Bifidobacterium longum strain NCC2705 affect virulence gene expression in Campylobacter jejuni. J Food Prot. 2013;76:1740–6.

    Article  CAS  PubMed  Google Scholar 

  19. Barile D, Tao N, Lebrilla CB, Coisson JD, Arlorio M, German JB. Permeate from cheese whey ultrafiltration is a source of milk oligosaccharides. Int Dairy J. 2009;19:524–30.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Tao N, DePeters EJ, German JB, Grimm R, Lebrilla CB. Variations in bovine milk oligosaccharides during early and middle lactation stages analyzed by high-performance liquid chromatography-chip/mass spectrometry. J Dairy Sci. 2009;92:2991–3001.

    Article  CAS  PubMed  Google Scholar 

  21. Kelly V, Davis S, Berry S, Melis J, Spelman R, Snell R, Lehnert K, Palmer D. Rapid, quantitative analysis of 3′- and 6′-sialyllactose in milk by flow-injection analysis-mass spectrometry: screening of milks for naturally elevated sialyllactose concentration. J Dairy Sci. 2013;96:7684–91.

    Article  CAS  PubMed  Google Scholar 

  22. Tao N, DePeters EJ, Freeman S, German JB, Grimm R, Lebrilla CB. Bovine milk glycome. J Dairy Sci. 2008;91:3768–78.

    Article  CAS  PubMed  Google Scholar 

  23. Nakamura T, Kawase H, Kimura K, Watanabe Y, Ohtani M, Arai I, Urashima T. Concentrations of sialyloligosaccharides in bovine colostrum and milk during the prepartum and early lactation. J Dairy Sci. 2003;86:1315–20.

    Article  CAS  PubMed  Google Scholar 

  24. Urashima T, Taufik E, Fukuda K, Asakuma S. Recent advances in studies on milk oligosaccharides of cows and other domestic farm animals. Biosci Biotechnol Biochem. 2013;77:455–66.

    Article  CAS  PubMed  Google Scholar 

  25. Dallas DC, Weinborn V, de Moura BJMLN, Wang M, Parker EA, Guerrero A, Hettinga KA, Lebrilla CB, German JB, Barile D. Comprehensive peptidomic and glycomic evaluation reveals that sweet whey permeate from colostrum is a source of milk protein-derived peptides and oligosaccharides. Food Res Int. 2014;63:203–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Walzem RL, Dillard CJ, German JB. Whey components: millenia of evolution create functionalities for mammalian nutrition: what we know and what we may be overlooking. Crit Rev Food Sci Nutr. 2002;42:353–75.

    Article  CAS  PubMed  Google Scholar 

  27. Lee H, de MeloSilva V, Liu Y, Barile D. Short communication: quantification of carbohydrates in whey permeate products using high-performance anion-exchange chromatography with pulsed amperometric detection. J Dairy Sci. 2015;98:7644–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Lee H, Cuthbertson DJ, Otter DE, Barile D. Rapid screening of bovine milk oligosaccharides in a whey permeate product and domestic animal milks by accurate mass database and tandem mass spectral library. J Agric Food Chem. 2016;64:6364–74.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Smilowitz JT, Lemay DG, Kalanetra KM, Chin EL, Zivkovic AM, Breck MA, German JB, Mills DA, Slupsky C, Barile D. Tolerability and safety of the intake of bovine milk oligosaccharides extracted from cheese whey in healthy human adult. J Nutr Sci. 2017;6:1–11.

    Article  CAS  Google Scholar 

  30. Meli F, Puccio G, Cajozzo C, Ricottone GL, Pecquet S, Sprenger N, Steenhout P. Growth and safety evaluation of infant formulae containing oligosaccharides dervived from bovine milk: a randomized, double-blind, noninferiority trial. BMC Pediatr. 2014;14:306.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  31. Kavanaugh DW, O’Callaghan J, Butto LF, Slattery H, Lane J, Clyne M, Kane M, Joshi L, Hickey RM. Exposure of Bifidobacterium longum subsp infantis to milk oligosaccharides increases adhesion to epithelial cells and induces a substantial transcriptional response. PLoS ONE. 2013;8:e67224.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Quinn EM, Slattery H, Thompson AP, Kilcoyne M, Joshi L, Hickey RM. Mining milk for factors which increase the adherence of Bifidobacterium longum subsp infantis to intestinal cells. Foods. 2018;7:196.

    Article  CAS  PubMed Central  Google Scholar 

  33. Cooper P, Bolton KD, Velaphi S, de Groot N, Emady-Azar S, Pecquet S, Steenhout P. Early benefits of a starter formula enriched in prebiotics on the gut microbiota of healthy infants born to HIV+ mothers: a randomized double-blind controlled trial. Clin Med Insights Pediatr. 2016;10:119–30.

    Article  PubMed  Google Scholar 

  34. Daube G, Delcenserie V, Gavini F. Probiotic Bifidobacterial species. PCT/EP2006/061247, US 20080274085, WO 2006/122850, 31-03-2006, USA, Europe. 2006.

  35. Delcenserie V, Taminiau B, Gavini F, de Schaetzen MA, Cleenwerck I, Theves M, Mahieu M, Daube G. Detection and characterisation of Bifidobacterium crudilactis and B mongoliense able to grow during the manufacturing process of French raw milk cheeses. BMC Microbiol. 2013;13:239.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. Milani C, Lugli GA, Duranti S, Turroni F, Bottacini F, Mangifesta M, Sanchez B, Viappiani A, Mancabelli L, Taminiau B, Delcenserie V, Barrangou R, Margolles A, van Sinderen D, Ventura M. Genomic encyclopedia of type strains of the genus Bifidobacterium. Appl Environ Microbiol. 2014;80:6290–302.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  37. Milani C, Turroni F, Duranti S, Lugli GA, Mancabelli L, Ferrario C, van Sinderen D, Ventura M. Genomics of the genus Bifidobacterium reveals species-specific adaptation to the glycan-rich gut environment. Appl Environ Microbiol. 2016;82:980–91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Food and Agriculture Organization (FAO). Le lait et les produits laitiers dans la nutrition humaine. http://www.fao.org/docrep/t4280f/t4280f0h.htm (1998). Accessed 26 March 2018.

  39. Delcenserie V, Gavini F, Beerens H, Tresse O, Franssen C, Daube G. Description of a new species, Bifidobacterium crudilactis sp. nov., isolated from raw milk and raw milk cheeses. Syst Appl Microbiol. 2007;30:381–9.

    Article  CAS  PubMed  Google Scholar 

  40. Bondue P, Delcenserie V. Genome of bifidobacteria and carbohydrate metabolism. Korean J Food Sci Anim Resour. 2015;35:1–9.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Bondue P, Crèvecoeur S, Brose F, Daube G, Seghaye MC, Griffiths MW, LaPointe G, Delcenserie V. Cell-free spent media obtained from Bifidobacterium bifidum and Bifidobacterium crudilactis grown in media supplemented with 3′-sialyllactose modulate virulence gene expression in Escherichia coli O157:H7 and Salmonella typhimurium. Front Microbiol. 2016;7:1460.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Carey CM, Kostrzynska M, Thompson S. Escherichia coli O157:H7 stress and virulence gene expression on romaine lettuce using comparative real-time PCR. J Microbiol Methods. 2009;2:235–42.

    Article  CAS  Google Scholar 

  43. Mei GY, Tang J, Carey C, Bach S, Kostrzynska M. The effect of oxidative stress on gene expression of Shiga toxin-producing Escherichia coli (STEC) O157:H7 and non-O157 serotypes. Int J Food Microbiol. 2015;215:7–15.

    Article  CAS  PubMed  Google Scholar 

  44. Singh R, Jiang X. Expression of stress and virulence genes in Escherichia coli O157:H7 heat shocked in fresh dairy compost. J Food Prot. 2015;78:31–41.

    Article  CAS  PubMed  Google Scholar 

  45. Sumi CD, Yang BW, Yeo IC, Hahm YT. Antimicrobial peptides of the genus Bacillus: a new era for antibiotics. Can J Microbiol. 2015;61:93–103.

    Article  CAS  PubMed  Google Scholar 

  46. Ebbensgaard A, Mordhorst H, Overgaard MT, Nielsen CG, Aarestrup FM, Hansen EB. Comparative evaluation of antimicrobial activity of different antimicrobial peptides against a range of pathogenic bacteria. PLoS One. 2015;10:e0144611.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  47. Lugli GA, Milani C, Turroni F, Duranti S, Ferrario C, Viappiani A, Mancabelli L, Mangifesta M, Taminiau B, Delcenserie V, van Sinderen D, Ventura M. Investigation of the evolutionary development of the genus Bifidobacterium by comparative genomics. Appl Environ Microbiol. 2014;80:6383–94.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  48. Tanimomo J, Delcenserie V, Taminiau B, Daube G, Saint-Hubert C, Durieux A. Growth and freeze-drying optimization of Bifidobacterium crudilactis. Food Nutr Sci. 2016;7:616–26.

    CAS  Google Scholar 

  49. Delcenserie V, Lapointe G, Charaslertrangsi T, Rabalski A, Griffiths MW. Glucose decreases virulence gene expression of Escherichia coli O157:H7. J Food Prot. 2012;75:748–52.

    Article  CAS  PubMed  Google Scholar 

  50. Tellez A, Corredig M, Guri A, Zanabria R, Griffiths MW, Delcenserie V. Bovine milk fat globule membrane affects virulence expression in Escherichia coli O157:H7. J Dairy Sci. 2012;95:6313–9.

    Article  CAS  PubMed  Google Scholar 

  51. Mith H, Clinquart A, Zhiri A, Daube G, Delcenserie V. The impact of oregano (Origanum heracleoticum) essential oil and carvacrol on virulence gene transcription by Escherichia coli O157:H7. FEMS Microbiol Lett. 2014;362:1–7.

    Article  PubMed  CAS  Google Scholar 

  52. Guri A, Paligot M, Crèvecoeur S, Piedboeuf B, Claes J, Daube G, Corredig M, Griffiths MW, Delcenserie V. In vitro screening of mare’s milk antimicrobial effect and antiproliferative activity. FEMS Microbiol Lett. 2016;363:1–7.

    Article  CAS  Google Scholar 

  53. Pfaffl MW. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001;29:2002–7.

    Article  Google Scholar 

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Acknowledgments

The author wishes to acknowledge François Brose for his valuable help on this project.

Funding

This study was funded by the « Fond Opportunité » from ULiège. The funding had no influence in the design of the study, the collection, the analysis, the interpretation of data and the writing of the manuscript.

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Authors and Affiliations

  1. Department of Food Science, Fundamental and Applied Research for Animal and Health, Faculty of Veterinary Medicine, University of Liège, Liège, Belgium

    Pauline Bondue, Emilie Arnould, Georges Daube & Véronique Delcenserie

  2. Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy

    Christian Milani & Marco Ventura

  3. Canadian Research Institute for Food Safety, University of Guelph, Guelph, Canada

    Gisèle LaPointe

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  1. Pauline Bondue
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Contributions

PB and EA did the experiments. PB interpreted the results and wrote the manuscript. CM, MV, GL and GD were involved in the design of the study and provided help for interpretation of the results. VD participated in the design of the study, interpretation of the results and writing of the manuscript. All the authors have read and approved the manuscript.

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Correspondence to Véronique Delcenserie.

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The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Christian Milani and Marco Ventura, members of the editorial board, and all the authors have no competing interests.

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Supplementary information

Additional file 1: Table S1.

Cycle threshold values corresponding to the effects of tested CFSM on E. coli O157:H7 genes expression.

Additional file 2: Table S2.

Cycle threshold values corresponding to the effects of tested CFSM on S. Typhimurium genes expression.

Additional file 3: Figure S3.

Schematic representation of BMO and 3′SL metabolism by B. mongoliense and B. crudilactis.

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Bondue, P., Milani, C., Arnould, E. et al. Bifidobacterium mongoliense genome seems particularly adapted to milk oligosaccharide digestion leading to production of antivirulent metabolites. BMC Microbiol 20, 111 (2020). https://doi.org/10.1186/s12866-020-01804-9

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