Diet-microbe interactions play an important role in modulating the early-life microbiota, with Bifidobacterium strains and species dominating the gut of breast-fed infants. Here, we sought to explore how infant diet drives distinct bifidobacterial community composition and dynamics within individual infant ecosystems. Genomic characterisation of 19 strains isolated from breast-fed infants revealed a diverse genomic architecture enriched in carbohydrate metabolism genes, which was distinct to each strain, but collectively formed a pangenome across infants. Presence of gene clusters implicated in digestion of human milk oligosaccharides (HMOs) varied between species, with growth studies indicating that within single infants there were differences in the ability to utilise 2′FL and LNnT HMOs between strains. Cross-feeding experiments were performed with HMO degraders and non-HMO users (using spent or 'conditioned' media and direct co-culture). Further 1 H-NMR analysis identified fucose, galactose, acetate, and N-acetylglucosamine as key by-products of HMO metabolism; as demonstrated by modest growth of non-HMO users on spend media from HMO metabolism. These experiments indicate how HMO metabolism permits the sharing of resources to maximise nutrient consumption from the diet and highlights the cooperative nature of bifidobacterial strains and their role as 'foundation' species in the infant ecosystem. The intra-and inter-infant bifidobacterial community behaviour may contribute to the diversity and dominance of Bifidobacterium in early life and suggests avenues for future development of new diet and microbiota-based therapies to promote infant health.

Summary Supplementation with members of the early-life microbiota as “probiotics” is increasingly used in attempts to beneficially manipulate the preterm infant gut microbiota. We performed a large observational longitudinal study comprising two preterm groups: 101 infants orally supplemented with Bifidobacterium and Lactobacillus (Bif/Lacto) and 133 infants non-supplemented (control) matched by age, sex, and delivery method. 16S rRNA gene profiling on fecal samples (n = 592) showed a predominance of Bifidobacterium and a lower abundance of pathobionts in the Bif/Lacto group. Metabolomic analysis showed higher fecal acetate and lactate and a lower fecal pH in the Bif/Lacto group compared to the control group. Fecal acetate positively correlated with relative abundance of Bifidobacterium, consistent with the ability of the supplemented Bifidobacterium strain to metabolize human milk oligosaccharides into acetate. This study demonstrates that microbiota supplementation is associated with a Bifidobacterium -dominated preterm microbiota and gastrointestinal environment more closely resembling that of full-term infants.

Accurate classification of a microbial mock community using MinION sequencing. We benchmarked MinION technology by profiling a bacterial mock community using R7.3 flow cells. Reads were analysed with NanoOK 18 and produced alignments to the 20 microbial reference sequences with 82-89% identity 19. Coverage ranged from almost 0 × (8 reads) of Actinomyces odontolyticus to 13 × (7,695 reads) of Streptococcus mutans, which is consistent with expected mock concentrations (Supplementary Table 1). Benchmarking to Illumina sequencing demonstrated high correlation with expected proportions (Fig. 1a, log-transformed Pearson's r = 0.94 for MinION and 0.97 for Illumina), and with each other (log-transformed Pearson's r = 0.98). Broadly similar abundance levels across both platforms were observed, with some differences in assignment to species versus genus/family (Fig. 1b). This is probable since the longer length Nanopore reads should provide

As part of the ongoing studies with clinically relevant Klebsiella spp., we characterized the genomes of three clinical GES-5-positive ST138 strains originally identified as Klebsiella oxytoca. bla OXY gene, average nucleotide identity and phylogenetic analyses showed the strains to be Klebsiella michiganensis . Affiliation of the strains to ST138 led us to demonstrate that the current multi-locus sequence typing scheme for K. oxytoca can be used to distinguish members of this genetically diverse complex of bacteria. The strains encoded the kleboxymycin biosynthetic gene cluster (BGC), previously only found in K. oxytoca strains and one strain of Klebsiella grimontii . The finding of this BGC, associated with antibiotic-associated haemorrhagic colitis, in K. michiganensis led us to carry out a wide-ranging study to determine the prevalence of this BGC in Klebsiella spp. Of 7170 publicly available Klebsiella genome sequences screened, 88 encoded the kleboxymycin BGC. All BGC-positive strains belonged to the K. oxytoca complex, with strains of four ( K. oxytoca , K. pasteurii , K. grimontii , K. michiganensis ) of the six species of complex found to encode the complete BGC. In addition to being found in K. grimontii strains isolated from preterm infants, the BGC was found in K. oxytoca and K. michiganensis metagenome-assembled genomes recovered from neonates. Detection of the kleboxymycin BGC across the K. oxytoca complex may be of clinical relevance and this cluster should be included in databases characterizing virulence factors, in addition to those characterizing BGCs.

The Oxford Nanopore MinION sequencing platform offers direct analysis of DNA reads as they are generated, which combined with its low cost, low power and extremely compact size, makes the device attractive for in-field or clinical deployment, e.g. rapid diagnostics. We employed the MinION platform for shotgun metagenomic sequencing and analysis of mixed gut-associated microbial communities; firstly, we used a 20 species human microbiota mock community to show that Nanopore metagenomic data can be classified reliably and rapidly. Secondly, we profiled bacterial DNA isolated from faeces from preterm infants at increased risk of sepsis and necrotising enterocolitis to analyse their gut microbiota. Using longitudinal samples, and comparing Illumina to MinION, we captured the diversity of the immature gut microbiota and observed how its complexity changes over time in response to interventions, i.e. probiotic, antibiotics and episodes of suspected sepsis. Finally, we performed a 'real-time' run from sample to analysis using a faecal sample of a critically ill infant. Real-time analysis was facilitated by our new NanoOK RT software package. We determined that we can reliably identify potentially pathogenic taxa (i.e. Klebsiella pneumoniae) along with corresponding AMR gene profiles in as little as one hour, post sequencing start. Furthermore, data obtained revealed insights into how antibiotic treatment decisions may be rapidly modified in response to specific AMR profiles, which was validated using pathogen isolation, whole genome sequencing and antibiotic susceptibility testing. Our results demonstrate that MinION sequencers offer the ability to progress from clinical samples to a potential tailored patient antimicrobial treatment in just a few hours.

Summary Diet-microbe interactions play a crucial role in modulation of the early life microbiota and infant health. Bifidobacterium dominates the breast-fed infant gut and may persist in individuals during transition from a milk-based to a more diversified diet. Here, we investigated adaptation of Bifidobacterium longum to the changing nutritional environment. Genomic characterization of 75 strains isolated from nine either exclusively breast- or formula-fed (pre-weaning) infants in their first 18 months revealed subspecies- and strain-specific intra-individual genomic diversity with respect to carbohydrate metabolism, which corresponded to different dietary stages. Complementary phenotypic studies indicated strain-specific differences in utilization of human milk oligosaccharides and plant carbohydrates, whereas proteomic profiling identified gene clusters involved in metabolism of selected carbohydrates. Our results indicate a strong link between infant diet and B . longum diversity and provide additional insights into possible competitive advantage mechanisms of this Bifidobacterium species and its persistence in a single host.

Supplementation with members of the early-life microbiota or 'probiotics' is becoming increasingly popular to attempt to beneficially manipulate the preterm gut microbiota. We performed a large longitudinal study comprising two preterm groups; 101 orally supplemented with Bifidobacterium and Lactobacillus (Bif/Lacto) and 133 non-supplemented (Control) matched by age, sex, birth-mode, and diet. 16S rRNA metataxonomic profiling on stool samples (n = 592) indicated a predominance of Bifidobacterium, and a reduction of pathobionts in the Bif/Lacto group. Metabolic phenotyping found a parallel increase in fecal acetate and lactate in the Bif/Lacto group compared to the Control group, which positively correlated with Bifidobacterium abundance consistent with the ability of the supplemented Bifidobacterium strain to metabolize human milk oligosaccharides and reduced gut pH.This study demonstrates that microbiota supplementation can modify the preterm microbiome and the gastrointestinal environment to more closely resemble that of a full-term infant.

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