Literature DB >> 30338216

Reduced colonic mucin degradation in breastfed infants colonized by Bifidobacterium longum subsp. infantis EVC001.

Sercan Karav1, Giorgio Casaburi2, Steven A Frese2,3.   

Abstract

Mucin glycoproteins play an important role in protecting the gut epithelium by keeping gut microbes from direct contact with the gut epithelium while allowing for diffusion of small molecules from the lumen to the epithelium. The mucin glycocalyx can be degraded by gut bacteria such as Bacteroides and Akkermansia, but other bacteria, such as Bifidobacterium longum subsp. Infantis, cannot consume mucin glycans. Untargeted mass spectrometry profiles were compared to microbiome profiles to assess how different gut microbiomes affect colonic mucin degradation. Samples obtained from nine infants colonized by Bifidobacterium infantis EVC001 and from 10 infants colonized by higher levels of mucolytic taxa (controls), including Bacteroides, were compared. Previously performed untargeted nano-high-performance liquid chromatography-chip/time-of-flight mass spectrometry was used to detect and quantify glycans originating from colonic mucin. Colonic mucin-derived O-glycans from control infants composed 37.68% (± 3.14% SD) of the total glycan structure pool, whereas colonic mucin-derived O-glycans made up of only 1.78% (± 0.038% SD) of the total in B. infantis EVC001 samples. The relative abundance of these colonic mucin-derived O-glycans in the total glycan pool was higher among control, 26.98% (± 8.48% SD), relative to B. infantis-colonized infants, 1.68% (± 1.12% SD). Key taxa, such as Bacteroidaceae, were significantly and positively correlated with the abundance of these structures, while Bifidobacteriaceae were significantly and negatively associated with these structures. These results suggest that colonization of infants by B. infantis may diminish colonic glycan degradation and help maintain barrier function in the gastrointestinal tract of infants.

Entities:  

Keywords:  Bacteroides; Bifidobacterium infantis; glycome; mucin; mucinlike glycans

Year:  2018        PMID: 30338216      PMCID: PMC6168692          DOI: 10.1002/2211-5463.12516

Source DB:  PubMed          Journal:  FEBS Open Bio        ISSN: 2211-5463            Impact factor:   2.693


acetonitrile formic acid false discovery rate glycosyl hydrolase human milk oligosaccharide high‐performance liquid chromatography oligosaccharide operational taxonomic unit principal coordinate analysis time of flight Mucins are highly glycosylated O‐linked glycoproteins secreted by exocrine glands and mucosa. They contain a wide variety of glycan structures, which make up 80% of the glycoprotein mass. These glycans attach to the polypeptide backbone via serine or threonine residues with N‐acetylgalactosamine. Eight O‐glycan cores have been identified 1. Among these cores, core 1‐, 2‐, 3‐, and 4‐derived glycans are predominantly found in intestinal mucins. Specifically, core 1 (Galβ1–3GalNAcα1‐Ser/Thr) and core 2 (Galβ1,3(GlcNAcβ1,6)GalNAcα1‐Ser/Thr) structures are found in gastric and duodenal mucins, whereas colonic mucins contain predominantly core 3, 4 (GlcNAcβ1,6 (GlcNAcβ1,3) GalNAcαSer/Thr) elongated structures 2, 3. Mucin degradation by mucolytic taxa like Bacteroides is achieved with a wide variety of enzymes, such as proteases, sulfatases, fucosidases, neuraminidases, β‐galactosidases, α‐N‐acetylgalactosaminidases, α‐N‐acetylglucosaminidases, and exo/endo‐β‐N‐acetyl‐glucosaminidases 4. Although the presence of mucin‐consuming taxa is associated with increased mucin production, it is unclear whether this is a beneficial trait as the breakdown of the mucin barrier is often associated with negative impacts to the underlying gut epithelium 5, and its loss can be a pathway to infection 6, loss of gut epithelial barrier function 7, or spontaneous inflammation resembling colitis 8. Further, mucin degradation provides a niche that fosters taxa whose cytotoxic products can lead to colon cancer 9. Human milk contains structurally analogous carbohydrates in the form of N‐linked and O‐linked glycoproteins and glycolipids 10 as well as free glycans, known as human milk oligosaccharides (HMOs) 11. Several gut bacteria found in breastfed infants are able to release and consume mucin glycans (e.g., Bacteroides), and while some species of Bifidobacterium (e.g., B. bifidum) are able to grow on mucin as a sole carbon source, others can not (e.g., Bifidobacterium infantis) 12. Interestingly, the taxa that consume both mucin glycans and HMOs appear to use the same glycolytic capacities and regulatory networks to consume these structures, whereas specialized taxa consume HMOs in unique pathways, and appear to only express these genes in response to a limited number of carbohydrates 13, 14, 15. Thus, adaptation to these two structurally similar carbon sources appears to be highly specific among different infant gut‐associated bifidobacteria. If this is true, then the role of mucolytic taxa in the infant gut is unclear. Further, to what extent is mucus degraded in the infant gut and which taxa are responsible? To begin to address these questions, a library of known colonic mucin‐derived O‐glycans was compiled and used to query untargeted mass spectra of fecal samples from infants from a previous study 16, 17. We hypothesized that the previously demonstrated modification of the gut microbiome resulted in the modulation of mucin degradation by gut microbes. A second part of the hypothesis was that colonization with B. infantis, which does not degrade mucin, and the subsequent reduction in mucolytic taxa would diminish mucin degradation, as measured by the abundance of freed colonic mucin‐derived O‐glycans in the infant's stool.

Materials and methods

Fecal sample collection and analysis

To examine the effect of Bifidobacterium longum subsp. infantis (B. infantis) EVC001 colonization on gut mucin degradation at day 29 postnatal, fecal samples were collected from healthy, breastfed infants fed 1.8 × 1010 CFU per day B. longum subsp. infantis EVC001 from Day 7 postnatal to Day 29 postnatal (n = 9) and healthy breastfed infants who were not fed B. longum subsp. infantis EVC001 (n = 10). These samples were randomly selected from the larger study population for additional analysis using untargeted mass spectrometry data that had been collected initially for the study of human milk glycans found in the infant's feces. The initial clinical study was a partially randomized study, and subject populations, as well as ethical approval for sample collection, were previously noted 16. Demographics describing the randomly selected subset of the total population examined in this analysis is presented in Table S1. The microbiome composition of these samples was also previously determined. These data are publicly deposited in the NCBI SRA (PRJNA390646) and were analyzed using QIIME 1.9.1 18 as previously described 17. Briefly, paired‐end sequencing of the V4 region of the 16S rRNA gene was performed on an Illumina MiSeq at the University of California Davis Genome Center (Davis, CA). Open‐reference operational taxonomic unit (OTU) picking was completed using UCLUST at 97% identity, and low‐abundance OTUs were removed as recommended 19. Across the full data set, there was a mean of 9216 reads (SD ± 4505 reads) per sample and samples with at least than 2779 reads were included for analysis. Here, 19 samples (n = 9, 10) matching paired mass spectrometry data were selected from this overall population and analyzed in the context of the untargeted spectra as described below.

Analysis of spectra obtained with Nano‐high‐performance liquid chromatography‐chip/time‐of‐flight mass spectrometry (nano‐LC‐MS)

Oligosaccharide (OS) isolation and purification from these fecal samples were performed previously and reported by Frese et al. 17. The structures of human colonic mucin O‐glycans were characterized by analysis on a nano‐HPLC‐Chip‐TOF mass spectrometer using the methods described by Davis et al. 20, and this approach was previously reported for these samples where the concentration of structurally similar HMOs was determined 17. Briefly, the high‐performance liquid chromatography (HPLC) system used was an Agilent 1200 series unit with a microfluidic chip, which was coupled to an Agilent 6220 series time of flight (TOF) mass spectrometer via chip cube interface. The capillary pump on the chromatography unit loaded the sample onto the 40‐nL enrichment column at a flow rate of 4.0 μL·min−1 with a 1 μL injection volume. A nano pump was used for analyte separation on the analytical column, which was 75 × 43 mm and packed with porous graphitized carbon. Separation was accomplished using a binary gradient of aqueous solvent A [3% acetonitrile (ACN)/water (v/v) in 0.1% formic acid (FA)] and organic solvent B [90% ACN/water (v/v) in 0.1% FA] using a method developed for HMO separation (7, 8). The sample was introduced into the TOF mass spectrometer via electrospray ionization, which was tuned and calibrated using a dual nebulizer electrospray source with calibrant ions ranging from m/z 118.086 to 2721.895, and data were collected in the positive mode. These untargeted spectra were analyzed in the present study as described below.

Glycan data analysis

The untargeted mass spectra were collected (as above) and analyzed using Agilent MassHunter Workstation Data Acquisition version B.02.01 on the nano‐HPLC‐Chip‐TOF. The ‘Find Compounds by Molecular Feature’ function of the software was used to identify mucin glycan species within 20 ppm of theoretical masses. Compound abundances were expressed as volume in ion counts that corresponded to absolute abundances of the compounds in each sample. 1HexNAc‐1NeuAc, 1HexNAc‐1Hex‐NeuAc, 2HexNAc‐1NeuAc, 2HexNAc‐1Hex‐1Fuc, 2HexNAc‐1Hex‐1NeuAc, 2HexNAc‐1Hex‐2Fuc, 3HexNAc‐1Hex‐1Fuc, 2HexNAc‐1Hex‐1Fuc‐1NeuAc, 2HexNAc‐1Hex‐1Fuc‐2NeuAc, 3HexNAc‐1Hex‐2NeuAc and 3HexNAc‐1Hex‐2Fuc‐1NeuAc were monitored as they are discriminatively human colonic mucin O‐glycans 21.

Statistical analysis

Multiple t‐tests, corrected using the Holm–Sidak method for multiple comparisons, were carried out in Graph Pad Prism 7 (graphpad Software, La Jolla, CA, USA). Wilcoxon rank‐sum test was used for single comparisons. P values, or adjusted P values, of 0.05 or less in comparisons were considered significantly different. Differences in bacterial community composition and colonic mucin‐derived O‐glycans were calculated in several, complementary ways. First, a weighted UniFrac distance matrix 22 was used to visualize differences in community composition according to treatment group using principal coordinate analysis (PCoA). Second, a Bray–Curtis dissimilarity index between all colonic mucin‐derived O‐glycan species was visualized via PCoA. To evaluate the effect size of EVC001 colonization, both weighted UniFrac and Bray–Curtis dissimilarity matrices were tested via Permanova multivariate comparisons with 999 permutations and FDR‐corrected P‐values. Mantel tests were used to assess significant relationships between the phylogenetic distance of the bacterial communities and the colonic mucin‐derived O‐glycan abundance. Colonic mucin‐derived O‐glycan abundance was transformed to dissimilarity matrices using Euclidean distance, while phylogenetic distance was obtained via the weighted UniFrac algorithm. Tests were performed using Pearson's product‐moment correlation coefficient (r) with 999 permutations and a two‐tailed test. To compute specific correlations between observations of bacterial taxa and colonic mucin‐derived O‐glycan structures, a Spearman's ρ test was used. Raw correlation statistics were tested for likelihood using Fisher's Z transformation and P‐values corrected via Benjamini–Hochberg false discovery rate (FDR) procedure.

Results and Discussion

Comparisons of the gut microbiome among a subselected cohort

The gut microbiome of samples analyzed by mass spectrometry from infants profiled by Frese et al. is shown in Fig. 1A. Infants were fed 1.8 x 1010 CFU per day of B. infantis EVC001 for 21 days from Day 7 to Day 29 postnatal. Infants fed EVC001 had significantly high levels of Bifidobacterium and significantly lower levels of Bacteroides than control infants not fed B. infantis EVC001. Bacteroides was the predominant mucolytic taxon identified in the samples 23. Notably, B. infantis fails to grow on colonic mucin as a sole carbon source 15, and the relative abundance of Bacteroidaceae was negatively correlated with the abundance of Bifidobacteriaceae (Spearman's ρ = −0.65; P = 0.0029). Among the 19 samples profiled by nano‐HPLC‐Chip‐TOF here, the gut microbiome profiles for nine infants fed B. infantis EVC001 were significantly different as tested by PERMANOVA (R = 26.5, P = 0.001) from that of the 10 control infants (Fig. 1B). Even when all Bifidobacterium‐matched reads were filtered from the samples, the residual microbial communities were still significantly different according to treatment group when compared by PERMANOVA (R = 13.8, P = 0.001).
Figure 1

(A) The relative abundance of the taxa, as reported at the family level by Frese et al. 2017, of each fecal sample in this analysis. (B) PCoA of the gut microbiome at the family level; control (CON) samples are shown as gray points, and EVC001‐fed infant samples are shown as teal points. 87.5% of total variation was described in the first two principal components (PC1 and PC2). PERMANOVA comparisons identified a significant difference between the two treatment groups by composition (R = 26.5, P = 0.001).

(A) The relative abundance of the taxa, as reported at the family level by Frese et al. 2017, of each fecal sample in this analysis. (B) PCoA of the gut microbiome at the family level; control (CON) samples are shown as gray points, and EVC001‐fed infant samples are shown as teal points. 87.5% of total variation was described in the first two principal components (PC1 and PC2). PERMANOVA comparisons identified a significant difference between the two treatment groups by composition (R = 26.5, P = 0.001).

Fecal glycomics indicates differences among release of colonic mucin‐derived O‐glycans from glycoproteins in vivo

The total OS compositions of the samples were determined by the untargeted approach of nano‐HPLC‐Chip‐TOF. The compounds were characterized using previously published libraries 21, 24, 25, 26. Among these compositions, free HMOs and free colonic mucin‐derived O‐glycans were found in the infant fecal glycome. The main focus of this study was to understand the degradation of human colonic mucin glycans by different gut microbiome profiles. This was determined as the difference between a gut microbiome from infants colonized with B. infantis EVC001 and microbiomes with a greater abundance of mucolytic taxa, such as Bacteroidaceae. As target molecules, 1HexNAc‐1NeuAc, 1HexNAc‐1Hex‐NeuAc, 2HexNAc‐1NeuAc, 2HexNAc‐1Hex‐1Fuc, 2HexNAc‐1Hex‐1NeuAc, 2HexNAc‐1Hex‐2Fuc, 3HexNAc‐1Hex‐1Fuc, 2HexNAc‐1Hex‐1Fuc‐1NeuAc, 2HexNAc‐1Hex‐1Fuc‐2NeuAc, 3HexNAc‐1Hex‐2NeuAc and 3HexNAc‐1Hex‐2Fuc‐1NeuAc were selected as typical human colonic mucin glycans, as shown by Robbe et al. 21. The mass spectrometry monitoring these structures showed that the number of total OS structures (including isomers and anomers) in samples from control and EVC001‐fed infants ranged from 67.4 ± 19.81 and 360.44 ± 102.52, respectively (P < 0.001; Fig. 2A). Although the control samples contained fewer total OS structures, the number of freed human colonic mucin‐derived O‐glycans of the total OS was significantly higher 25.4 (±8.09), whereas only 6.33 (±2.24) structures were colonic mucin‐derived O‐glycans in samples from EVC001‐fed infants (P < 0.001, Wilcoxon test; Fig. 2B). As a proportion, the relative abundance of colonic mucin‐derived O‐glycans was significantly higher in control samples than in samples from EVC001‐fed infants in terms of both the number of structures (37.68% ± 3.14% and 1.78% ± 0.385%, respectively; Fig. 2C, P < 0.001, Wilcoxon test) and their proportion of the total OS profile (26.98% ± 8.48% and 1.68 ± 1.12%, respectively; Fig. 2D, P < 0.001, Wilcoxon test).
Figure 2

Comparison of fecal glycome and colonic mucin‐derived O‐glycans of control and EVC001‐fed infant feces. (A) Total number of OS detected across treatment groups. (B) Number of colonic mucin‐derived O‐glycans across treatment groups. (C) Relative abundance of the total number of colonic mucin‐derived O‐glycans in the total OS pool across treatment groups. (D) Percent of the OS assigned to colonic mucin‐derived O‐glycans in the total OS abundance across treatment groups.

Comparison of fecal glycome and colonic mucin‐derived O‐glycans of control and EVC001‐fed infant feces. (A) Total number of OS detected across treatment groups. (B) Number of colonic mucin‐derived O‐glycans across treatment groups. (C) Relative abundance of the total number of colonic mucin‐derived O‐glycans in the total OS pool across treatment groups. (D) Percent of the OS assigned to colonic mucin‐derived O‐glycans in the total OS abundance across treatment groups.

Associations between colonic mucin degradation and the fecal microbiome

Overall, freed colonic mucin O‐glycan composition differed significantly between EVC001‐colonized and control infants when tested via PERMANOVA (R = 12.4, P = 0.001; Fig. 3). However, to compare the composition of the gut microbiome with the abundance of both total colonic mucin‐derived O‐glycans and the specific structures monitored here, a Mantel test was used to correlate these structures with the overall microbiome composition. Broadly, the total colonic mucin‐derived O‐glycan abundance was significantly correlated with the microbiome composition (Mantel's R = 0.39, P = 0.01). Of these, only 1_0_0_1 (Mantel's R = 0.22, P = 0.05), 1_1_0_1 (Mantel's R = 0.3, P = 0.027), 2_1_1_0 (Mantel's R = 0.46, P = 0.003), 2_1_1_1 (Mantel's R = 0.42, P = 0.003), 2_1_2_0 (Mantel's R = 0.69, P = 0.001), 3_1_1_0 (Mantel's R = 0.35, P = 0.011), and 3_1_2_1 (Mantel's R = 0.37, P = 0.005) were significantly associated with specific microbiome compositions.
Figure 3

PCoA of colonic mucin‐derived O‐glycan composition among samples using a Bray–Curtis dissimilarity index; control (Con) samples are shown as gray points, and EVC001‐fed infant samples are shown as teal points. 63.3% of total variation was explained in the first two principal components (PC1 and PC2). PERMANOVA comparisons identified a significant difference between the two groups, with respect to colonic mucin‐derived O‐glycan composition (R = 12.4; P = 0.001).

PCoA of colonic mucin‐derived O‐glycan composition among samples using a Bray–Curtis dissimilarity index; control (Con) samples are shown as gray points, and EVC001‐fed infant samples are shown as teal points. 63.3% of total variation was explained in the first two principal components (PC1 and PC2). PERMANOVA comparisons identified a significant difference between the two groups, with respect to colonic mucin‐derived O‐glycan composition (R = 12.4; P = 0.001). To examine the interactions of the gut microbiome and the colonic mucin‐derived O‐glycan species, a Pearson correlation was calculated for all taxa and structures in the samples, as well as the total abundance and proportion of colonic mucin‐derived O‐glycan species (Table 1). Bifidobacteriaceae abundance was significantly and negatively correlated with the abundance of colonic mucin‐derived O‐glycans, as a whole (Spearman's ρ = −0.66, P = 0.04), whereas Bacteroidaceae was significantly and positively correlated with the abundance of 1_0_0_1, 2_1_1_1, 3_1_2_1, and 2_1_2_0 (Table 2). Interestingly, Enterobacteriaceae, who are unlikely to degrade mucus themselves, were significantly correlated with the overall abundance of colonic mucin‐derived O‐glycans (Spearman's ρ = 0.061, P = 0.04) as well as 1_0_0_1 (Spearman's ρ = 0.63, P = 0.03), and 2_1_2_0 (Spearman's ρ = 0.71, P = 0.003). Similarly, Clostridiaceae (Spearman's ρ = 0.7, P = 0.01) and Planococcaceae (Spearman's ρ = 0.63, P = 0.03) were significantly correlated with 2_1_1_0. While Pasteurellaceae were significantly correlated with the overall abundance of colonic mucin‐derived O‐glycans, they were not associated with specific O‐glycan species. Interestingly, three of these colonic mucin‐derived O‐glycan species (1_1_1_0, 3_1_1_0 and 3_1_2_1) were significantly associated with microbiome compositions, but no individual taxa were responsible for this association.
Table 1

Colonic mucin‐derived O‐glycan structure, composition, mass, and volume in samples from the two treatment groups

Glycan codeCompositionNeutral massLog10 volume control [Mean (±SD)]Log10 volume EVC001‐fed [Mean (±SD)]Holm–Sidak adjusted P value
1_0_0_11HexNAc‐1NeuAc5127.19 (7.08)5.44 (5.55)0.010659
1_1_0_11HexNAc‐1Hex‐1NeuAc6755.96 (6.01)4.06 (4.53)0.09968
2_0_0_12HexNAc‐1NeuAc7165.93 (6.16)0 (0)0.258702
2_1_1_02HexNAc‐1Hex‐1Fuc7356.17 (6.23)0 (0)0.09968
2_1_0_12HexNAc‐1Hex‐1NeuAc8785.9 (6.11)5.5 (5.56)0.502866
2_1_2_02HexNAc‐1Hex‐2Fuc8796.45 (5.95)5.46 (5.51)3.13E‐06
3_1_1_03HexNAc‐1Hex‐1Fuc9366.43 (6.31)5.32 (5.43)0.015609
2_1_1_12HexNAc‐1Hex‐1Fuc‐1NeuAc10247.31 (7.01)5.42 (5.54)0.000189
2_1_1_22HexNAc‐1Hex‐1Fuc‐2NeuAc13157.08 (7.26)6.71 (7.02)0.502866
3_1_0_23HexNAc‐1Hex‐2NeuAc13726.43 (6.52)5.25 (5.4)0.141386
3_1_2_13HexNAc‐1Hex‐2Fuc‐1NeuAc13737.52 (7.28)5.77 (5.85)0.000895
Table 2

Correlational analysis comparing microbiome composition (Mantel test) and specific bacterial families (Spearman's ρ) with colonic mucin‐derived O‐glycans

Mucin‐glycan StructuresMantel r Mantel P‐valueBacterial familySpearman's ρ P‐value (FDR)
Total0.390.01 Bifidobacteriaceae −0.660.04
Enterobacteriaceae 0.630.04
Pasteurellaceae 0.610.04
1_0_0_10.220.05 Bifidobacteriaceae −0.650.03
Enterobacteriaceae 0.630.03
Bacteroidaceae 0.630.03
1_1_0_10.30.027
2_0_0_10.030.826
2_1_0_10.070.590
2_1_1_00.460.003 Clostridiaceae 0.70.01
Planococcaceae 0.630.03
Bifidobacteriaceae −0.630.03
2_1_1_10.420.003 Bacteroidaceae 0.690.01
Bifidobacteriaceae −0.670.01
2_1_1_20.190.109
2_1_2_00.690.001 Bifidobacteriaceae −0.827.85E‐05
Bacteroidaceae 0.720.003
Enterobacteriaceae 0.710.003
3_1_0_20.250.062
3_1_1_00.350.011
3_1_2_10.370.005
Colonic mucin‐derived O‐glycan structure, composition, mass, and volume in samples from the two treatment groups Correlational analysis comparing microbiome composition (Mantel test) and specific bacterial families (Spearman's ρ) with colonic mucin‐derived O‐glycans The broad associations between diminished abundance, number, and proportion of colonic mucin‐derived O‐glycans and colonization by B. infantis EVC001 was reflected in the negative correlations between the abundance of Bifidobacteriaceae and both total colonic mucin‐derived O‐glycan abundance and four of the mucin‐derived O‐glycan species monitored here. Similarly, the abundance of a known mucin‐degrading family, Bacteroidaceae, was positively correlated with the abundance of these same structures. Many Bacteroides species allocate a large proportion of their genome to harvesting polysaccharides, including mucin 27, and the significant positive correlation with colonic mucin‐derived O‐glycan concentrations supports these previous findings, even though 16S rRNA gene sequencing here does not confidently distinguish between OTUs at the species level. Many of the genes associated with polysaccharide utilization common to mucin‐degrading Bacteroides are highly active on mucin glycoproteins, including the O‐glycan cores found in human colonic mucin, as evidenced here. Bacteroides can grow on mucin a sole carbon source and have specific transcriptional responses to incubation with mucin 13. In particular, Bacteroides broadly possess enzymes from glycosyl hydrolase (GH) family GH 84, GH 85, GH 89, GH 101, and GH 129 that are active on mucin glycoproteins and may facilitate the release of these glycans from the mucin protein 13, 27, 28. The release of these structures may facilitate the growth of taxa which are potentially pathogenic (e.g., Clostridiaceae and Enterobacteriaceae), and sialylated and fucosylated glycans derived from host mucin have been shown to play a major role in disease pathogenesis by Salmonella, Clostridium difficile, and cytotoxic Escherichia coli 9 and taxa that act as reservoirs of virulence factors in the infant gut 29.

Conclusion

The human gastrointestinal epithelium is protected by a layer of mucus. Mucin, as a glycoprotein, is coated with a wide variety of conjugated glycans that can serve as a carbon source for mucolytic bacteria, and their release may facilitate the growth of other taxa such as Enterobacteriaceae and Clostridiaceae. Specifically, human colon mucins contain unique O‐glycan structures that can be utilized only by few mucolytic taxa, and in breastfed infants, the predominant mucolytic taxon was Bacteroidaceae. These bacteria harbor multiple GH‐encoding genes that facilitate the liberation of colonic mucin O‐glycan from glycoproteins. Our results show that gut microbiomes of infants colonized by B. infantis have diminished mucin degradation, as evidenced by reduced abundance and diversity of freed colonic mucin‐derived O‐glycans, as well as the negative correlations between these and Bifidobacteriaceae. B. infantis is not able to cleave colonic mucin‐derived O‐glycans, and their colonization is associated with diminished populations of Bacteroidaceae 17. Infants with a gut microbiome with higher relative abundance of mucolytic taxa have enhanced mucin degradation, and this may have long‐term health consequences, or increase their susceptibility to infection from taxa harboring virulence factors via cross‐feeding 6, 9, 29. Further studies are required to determine the specific negative effects of mucin degradation, the role of these taxa in diminishing host gut barrier function, and any functional consequences to the host.

Author contributions

SK performed the analysis of the mass spectra. SF and GC performed statistical tests and microbiome analyses. All authors contributed to the study, read, and approved the final manuscript.

Conflict of interest

SAF and GC are employed by Evolve Biosystems, Inc., which funded the study from which these samples were derived. Table S1. Study participant demographics showing the mean (±standard deviation) or number per group. Click here for additional data file.
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9.  Safety and tolerability of Bifidobacterium longum subspecies infantis EVC001 supplementation in healthy term breastfed infants: a phase I clinical trial.

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10.  Persistence of Supplemented Bifidobacterium longum subsp. infantis EVC001 in Breastfed Infants.

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Review 1.  Building Robust Assemblages of Bacteria in the Human Gut in Early Life.

Authors:  Gerald W Tannock
Journal:  Appl Environ Microbiol       Date:  2021-09-01       Impact factor: 4.792

2.  Childhood body mass index and associations with infant gut metabolites and secretory IgA: findings from a prospective cohort study.

Authors:  Sarah L Bridgman; Nilusha Malmuthuge; Rupasri Mandal; Catherine J Field; Andrea M Haqq; Piushkumar J Mandhane; Theo J Moraes; Stuart E Turvey; Elinor Simons; Padmaja Subbarao; James A Scott; David S Wishart; Anita L Kozyrskyj
Journal:  Int J Obes (Lond)       Date:  2022-07-15       Impact factor: 5.551

3.  Metagenomic insights of the infant microbiome community structure and function across multiple sites in the United States.

Authors:  Giorgio Casaburi; Rebbeca M Duar; Heather Brown; Ryan D Mitchell; Sufyan Kazi; Stephanie Chew; Orla Cagney; Robin L Flannery; Karl G Sylvester; Steven A Frese; Bethany M Henrick; Samara L Freeman
Journal:  Sci Rep       Date:  2021-01-21       Impact factor: 4.379

4.  Impact of Probiotic B. infantis EVC001 Feeding in Premature Infants on the Gut Microbiome, Nosocomially Acquired Antibiotic Resistance, and Enteric Inflammation.

Authors:  Marielle Nguyen; Heaven Holdbrooks; Prasanthi Mishra; Maria A Abrantes; Sherri Eskew; Mariajamiela Garma; Cyr-Geraurd Oca; Carrie McGuckin; Cynthia B Hein; Ryan D Mitchell; Sufyan Kazi; Stephanie Chew; Giorgio Casaburi; Heather K Brown; Steven A Frese; Bethany M Henrick
Journal:  Front Pediatr       Date:  2021-02-16       Impact factor: 3.418

Review 5.  Recent Development of Probiotic Bifidobacteria for Treating Human Diseases.

Authors:  Jun Chen; Xinyi Chen; Chun Loong Ho
Journal:  Front Bioeng Biotechnol       Date:  2021-12-22

6.  Bifidobacterium catabolism of human milk oligosaccharides overrides endogenous competitive exclusion driving colonization and protection.

Authors:  Britta E Heiss; Amy M Ehrlich; Maria X Maldonado-Gomez; Diana H Taft; Jules A Larke; Michael L Goodson; Carolyn M Slupsky; Daniel J Tancredi; Helen E Raybould; David A Mills
Journal:  Gut Microbes       Date:  2021 Jan-Dec

Review 7.  Bifidobacterium longum Subspecies infantis (B. infantis) in Pediatric Nutrition: Current State of Knowledge.

Authors:  Maciej Chichlowski; Neil Shah; Jennifer L Wampler; Steven S Wu; Jon A Vanderhoof
Journal:  Nutrients       Date:  2020-05-28       Impact factor: 5.717

8.  Reintroducing B. infantis to the cesarean-born neonate: an ecologically sound alternative to "vaginal seeding".

Authors:  Rebbeca M Duar; David Kyle; Rachel M Tribe
Journal:  FEMS Microbiol Lett       Date:  2020-03-01       Impact factor: 2.742

9.  A new chapter for FEBS Open Bio.

Authors:  Miguel A De la Rosa
Journal:  FEBS Open Bio       Date:  2020-01       Impact factor: 2.693

10.  Early probiotic supplementation with B. infantis in breastfed infants leads to persistent colonization at 1 year.

Authors:  Claire E O'Brien; Anna K Meier; Karina Cernioglo; Ryan D Mitchell; Giorgio Casaburi; Steven A Frese; Bethany M Henrick; Mark A Underwood; Jennifer T Smilowitz
Journal:  Pediatr Res       Date:  2021-03-24       Impact factor: 3.756

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