Analysis of infant isolates of Bifidobacterium breve by comparative genome hybridization indicates the existence of new subspecies with marked infant specificity.

A total of 20 Bifidobacterium strains were isolated from fecal samples of 4 breast- and bottle-fed infants and all were characterized as Bifidobacterium breve based on 16S rRNA gene sequence and metabolic analysis. These isolates were further characterized and compared to the type strains of B. breve and 7 other Bifidobacterium spp. by comparative genome hybridization. For this purpose, we constructed and used a DNA-based microarray containing over 2000 randomly cloned DNA fragments from B. breve type strain LMG13208. This molecular analysis revealed a high degree of genomic variation between the isolated strains and allowed the vast majority to be grouped into 4 clusters. One cluster contained a single isolate that was virtually indistinguishable from the B. breve type strain. The 3 other clusters included 19 B. breve strains that differed considerably from all type strains. Remarkably, each of the 4 clusters included strains that were isolated from a single infant, indicating that a niche adaptation may contribute to variation within the B. breve species. Based on genomic hybridization data, the new B. breve isolates were estimated to contain approximately 60-90% of the genes of the B. breve type strain, attesting to the existence of various subspecies within the species B. breve. Further bioinformatic analysis identified several hundred diagnostic clones specific to the genomic clustering of the B. breve isolates. Molecular analysis of representatives of these revealed that annotated genes from the conserved B. breve core encoded mainly housekeeping functions, while the strain-specific genes were predicted to code for functions related to life style, such as carbohydrate metabolism and transport. This is compatible with genetic adaptation of the strains to their niche, a combination of infants and diet.

Bifidobacterium population analysis in the infant gut by direct mapping of genomic hybridization patterns: potential for monitoring temporal development and effects of dietary regimens.

A bifidobacterial mixed-species microarray platform was used in a proof-of-principle study to address the composition and development of bifidobacteria in DNA extracted from faecal samples. These were collected in a time-course of 2 years since birth and derived from human infants that were breastfed, standard formula-fed or received a prebiotic formula during their weaning period. A set of over 50 samples was analysed, testifying for the throughput of the designed platform for multiple genome hybridizations. The generated data revealed that faecal samples of breastfed infants contained a high abundance of genomic DNA homologous to Bifidobacterium breve. In contrast, faecal samples from standard formula-fed infants lacked detectable amounts of this B. breve DNA but contained genes with high similarity to B. longum. Remarkably, infants that received breastmilk and later a prebiotic formula consisting of a standard formula milk containing a mixture of specific galacto- and fructo-oligosaccharides, continued to harbour a B. breve-dominant faecal population. One infant that received standard formula in combination with the additional B. lactis Bb12 culture, contained significant amounts of faecal DNA belonging to Bb12 but only during the period of ingestion. The microarray platform showed sufficient sensitivity to analyse the B. breve group at the strain level. Overall, the B. breve populations observed in the faecal samples of the studied infants showed a stable composition over time and were unique per infant. In conclusion, our results show the applicability of comparative genome hybridization to study bifidobacterial populations in infant faecal samples without the use of any amplification step.

Mixed-species genomic microarray analysis of fecal samples reveals differential transcriptional responses of bifidobacteria in breast- and formula-fed infants.

Although their exact function remains enigmatic, bifidobacteria are among the first colonizers of the newborn infant gut and further develop into abundant communities, notably in response to diet. Therefore, the transcriptional responses of bifidobacteria in rapidly processed fecal samples from young infants that were fed either breast milk or a formula containing a mixture of galacto- and fructo-oligosaccharides were studied. The presence and diversity of the bifidobacterial fecal communities were determined using PCR-denaturing gradient gel electrophoresis and quantitative real-time PCR for specific species. Changes in the total number of bifidobacteria as well as in species diversity were observed, indicating the metabolic activities of the bifidobacteria within the infant gut. In addition, total RNAs isolated from infant feces were labeled and hybridized to a bifidobacterium-specific microarray comprising approximately 6,000 clones of the major bifidobacterial species of the human gut. Approximately 270 clones that showed the most prominent hybridization with the samples were sequenced. Fewer than 10% of the hybridizing clones contained rRNA genes, whereas the vast majority of the inserts showed matches with protein-encoding genes predicted to originate from bifidobacteria. Although a wide range of functional groups was covered by the obtained sequences, the largest fraction (14%) of the transcribed genes assigned to a functional category were predicted to be involved in carbohydrate metabolism, while some were also implicated in exopolysaccharide production or folate production. A total of three of the above-described protein-encoding genes were selected for quantitative PCR and sequence analyses, which confirmed the expression of the corresponding genes and the expected nucleotide sequences. In conclusion, the results of this study show the feasibility of obtaining insight into the transcriptional responses of intestinal bifidobacteria by analyzing fecal RNA and highlight the in vivo expression of bifidobacterial genes implicated in host-related functions.

A Bifidobacterium mixed-species microarray for high resolution discrimination between intestinal bifidobacteria.

A genomic DNA-based microarray was constructed containing over 6000 randomly cloned genomic fragments of approximately 1-2 kb from six mammalian intestinal Bifidobacterium spp. including B. adolescentis, B. animalis, B. bifidum, B. catenulatum, B. longum and B. pseudolongum. This Bifidobacterium Mixed-Species (BMS) microarray was used to differentiate between type strains and isolates belonging to a set of nine Bifidobacterium spp. Hierarchical clustering of genomic hybridization data confirmed the grouping of the Bifidobacterium spp. according to the 16S rRNA-based phylogenetic clusters. In addition, these genomic hybridization experiments revealed high homology between the type-strain B. animalis subsp. lactis LMG18314 and B. animalis subsp. animalis LMG10508 (79%) as well as between the type strains B. longum biotype longum LMG13197 and B. longum biotype infantis LMG8811 (72%) - nevertheless, discrimination between these species was possible due to the high resolution output of the BMS-array. In addition, it was shown that the BMS-array could be used for assigning unknown Bifidobacterium isolates to a species group. Finally, a set of 54 diagnostic clones for Bifidobacterium identification was selected and sequenced to advance the understanding of the species-related differences. Remarkably, a large fraction (31%) of these was predicted to encode proteins that belong to the bifidobacterial glycobiome and another 11% had functional homology with genes involved in the protection against foreign DNA. Overall, the BMS-microarray is a high-resolution diagnostic tool that is able to facilitate the detection of strain- and species-specific characteristics of bifidobacteria.

Interactomics in the human intestine: Lactobacilli and Bifidobacteria make a difference.

Scientific evidence that supports a correlation between our intestinal microbiota and health status has caused significant interest in microbe-host interaction studies. It has generated a paradigm shift from analyzing pathogens to that involving commensal and probiotic bacteria. This review summarizes the interaction mechanisms described for Lactobacilli and Bifidobacteria based on recent omics-based developments. This information is expected to provide new avenues for further unravelling the set of interactions that includes the interactome of microbial and host cells.

Interactions between phage-shock proteins in Escherichia coli.

Expression of the pspABCDE operon of Escherichia coli is induced upon infection by filamentous phage and by many other stress conditions, including defects in protein export. Expression of the operon requires the alternative sigma factor sigma54 and the transcriptional activator PspF. In addition, PspA plays a negative regulatory role, and the integral-membrane proteins PspB and PspC play a positive one. In this study, we investigated whether the suggested protein-protein interactions implicated in this complex regulatory network can indeed be demonstrated. Antisera were raised against PspB, PspC, and PspD, which revealed, in Western blotting experiments, that PspC forms stable sodium dodecyl sulfate-resistant dimers and that the hypothetical pspD gene is indeed expressed in vivo. Fractionation experiments showed that PspD localizes as a peripherally bound inner membrane protein. Cross-linking studies with intact cells revealed specific interactions of PspA with PspB and PspC, but not with PspD. Furthermore, affinity-chromatography suggested that PspB could bind PspA only in the presence of PspC. These data indicate that regulation of the psp operon is mediated via protein-protein interactions.