Microbial Community Development in a Dynamic Gut Model Is Reproducible,Colon Region Specific,and Selective for Bacteroidetes and Clostridium Cluster IX

Dynamic, multicompartment in vitro gastrointestinal simulators are often used to monitor gut microbial dynamics and activity. These reactors need to harbor a microbial community that is stable upon inoculation, colon region specific, and relevant to in vivo conditions. Together with the reproducibility of the colonization process, these criteria are often overlooked when the modulatory properties from different treatments are compared. We therefore investigated the microbial colonization process in two identical simulators of the human intestinal microbial ecosystem (SHIME), simultaneously inoculated with the same human fecal microbiota with a high-resolution phylogenetic microarray: the human intestinal tract chip (HITChip). Following inoculation of the in vitro colon compartments, microbial community composition reached steady state after 2 weeks, whereas 3 weeks were required to reach functional stability. This dynamic colonization process was reproducible in both SHIME units and resulted in highly diverse microbial communities which were colon region specific, with the proximal regions harboring saccharolytic microbes (e.g., Bacteroides spp. and Eubacterium spp.) and the distal regions harboring mucin-degrading microbes (e.g., Akkermansia spp.). Importantly, the shift from an in vivo to an in vitro environment resulted in an increased Bacteroidetes/Firmicutes ratio, whereas Clostridium cluster IX (propionate producers) was enriched compared to clusters IV and XIVa (butyrate producers). This was supported by proportionally higher in vitro propionate concentrations. In conclusion, high-resolution analysis of in vitro-cultured gut microbiota offers new insight on the microbial colonization process and indicates the importance of digestive parameters that may be crucial in the development of new in vitro models.The human gastrointestinal tract harbors a complex microbial ecosystem with a coding capacity exceeding that of the host genome by a factor of 100 (13). These gut microbes play a determining role in host health by converting otherwise indigestible compounds (14, 19), protecting against gut epithelial cell injury (46), regulating host fat storage (49), and inducing immunity (20, 48). Modulation of the composition and metabolic activity of these microbes to improve host health attracts a lot of attention and is referred to as gastrointestinal resource management (15, 37). Such new strategies are often evaluated during human trials or in vivo studies of animals associated with conventional or human microbiota (50).Despite the physiological relevance, in vivo experimental setups are inherently associated with some drawbacks. First, apart from fecal analyses over time, most in vivo data are derived from endpoint measurements, thereby limiting the dynamic monitoring of the gut microbiota. Second, troublesome sampling of different gut regions makes it difficult to locate the effects of a treatment. For mechanistic reasons, a third drawback of an in vivo approach is the inability to focus solely on gut microbial activity, because there is always a host involved. For these reasons, different types of in vitro systems have been developed, ranging from simple nonstirred batch cultures without pH control (44) to more complex continuous models involving pH-controlled single (55) or dynamic multicompartment (2, 29, 32, 34) culture systems. Other advantages are the lack of ethical constraints and a higher reproducibility due to strict control of environmental factors that can influence the microbiota, such as retention time, pH, temperature, and food intake. Therefore, in vitro methods are widely used to elucidate the mechanism behind the degradation of prebiotics (17, 52), bioactivation of polyphenols (10, 36, 38), adhesion of microbes to mucins (51), or bioavailability of environmental contaminants (53, 54).Dynamic in vitro gut models need to fulfil certain criteria before they can be used to monitor the modulating potency of specific treatments toward the microbiota. To ensure that effects are due solely to the treatment and not to the adaptation of microbes to the in vitro environment, steady-state conditions in terms of microbial community composition and metabolic activity need to be established prior to the actual start of the experiment (39). Moreover, the stabilization of this in vitro microbiota needs to be reproducible, as comparison of different treatments requires identical starting communities. Former studies assumed but never fully substantiated this requirement (17, 38). Further, in vitro microbiota need to be gut region specific, be representative for the in vivo situation, and maintain a high diversity. The potency of in vitro models thus relies on a good characterization of its microbiota. Molecular techniques, such as denaturing gradient gel electrophoresis (DGGE) (17, 39, 52), fluorescent in situ hybridization (FISH) (6), and quantitative real-time PCR (Q-PCR) (17, 29), provide useful information but do not provide direct phylogenetic information or target only a limited group of previously identified organisms, therefore limiting current knowledge. Recently, high-resolution techniques, such as microarrays (41, 42) and pyrosequencing (59), have provided access to phylogenetic and metagenomic analysis of the gut microbiota in unprecedented detail.In this study, we performed conventional metabolic analysis, applied existing molecular techniques (DGGE), and for the first time provided an in-depth phylogenetic analysis on the simulator of the human intestinal microbial ecosystem (SHIME) in vitro microbiota using the recently developed human intestinal tract chip (HITChip) microarray (41, 42). We evaluated the microbial colonization process in two parallel in vitro simulators (Twin-SHIME) simultaneously inoculated with the same human fecal microbiota. The aims of this study were (i) to determine when the microbial community composition and metabolic activity reach steady-state conditions, (ii) to assess the reproducibility of the stabilization process in two identical in vitro simulators, (iii) to obtain a high-resolution characterization of the colon region specificity of the residing communities, and (iv) to evaluate how the in vivo fecal inoculum changes to the in vitro colon microbial communities.     

Comparative Genomics Analysis of Streptococcus Isolates from the Human Small Intestine Reveals their Adaptation to a Highly Dynamic Ecosystem

The human small-intestinal microbiota is characterised by relatively large and dynamic Streptococcus populations. In this study, genome sequences of small-intestinal streptococci from S. mitis, S. bovis, and S. salivarius species-groups were determined and compared with those from 58 Streptococcus strains in public databases. The Streptococcus pangenome consists of 12,403 orthologous groups of which 574 are shared among all sequenced streptococci and are defined as the Streptococcus core genome. Genome mining of the small-intestinal streptococci focused on functions playing an important role in the interaction of these streptococci in the small-intestinal ecosystem, including natural competence and nutrient-transport and metabolism. Analysis of the small-intestinal Streptococcus genomes predicts a high capacity to synthesize amino acids and various vitamins as well as substantial divergence in their carbohydrate transport and metabolic capacities, which is in agreement with observed physiological differences between these Streptococcus strains. Gene-specific PCR-strategies enabled evaluation of conservation of Streptococcus populations in intestinal samples from different human individuals, revealing that the S. salivarius strains were frequently detected in the small-intestine microbiota, supporting the representative value of the genomes provided in this study. Finally, the Streptococcus genomes allow prediction of the effect of dietary substances on Streptococcus population dynamics in the human small-intestine.     

Reset of a critically disturbed microbial ecosystem: faecal transplant in recurrent Clostridium difficile infection

Recurrent Clostridium difficile infection (CDI) can be effectively treated by infusion of a healthy donor faeces suspension. However, it is unclear what factors determine treatment efficacy. By using a phylogenetic microarray platform, we assessed composition, diversity and dynamics of faecal microbiota before, after and during follow-up of the transplantation from a healthy donor to different patients, to elucidate the mechanism of action of faecal infusion. Global composition and network analysis of the microbiota was performed in faecal samples from nine patients with recurrent CDI. Analyses were performed before and after duodenal donor faeces infusion, and during a follow-up of 10 weeks. The microbiota data were compared with that of the healthy donors. All patients successfully recovered. Their intestinal microbiota changed from a low-diversity diseased state, dominated by Proteobacteria and Bacilli, to a more diverse ecosystem resembling that of healthy donors, dominated by Bacteroidetes and Clostridium groups, including butyrate-producing bacteria. We identified specific multi-species networks and signature microbial groups that were either depleted or restored as a result of the treatment. The changes persisted over time. Comprehensive and deep analyses of the microbiota of patients before and after treatment exposed a therapeutic reset from a diseased state towards a healthy profile. The identification of microbial groups that constitute a niche for C. difficile overgrowth, as well as those driving the reinstallation of a healthy intestinal microbiota, could contribute to the development of biomarkers predicting recurrence and treatment outcome, identifying an optimal microbiota composition that could lead to targeted treatment strategies.     

The genome of Akkermansia muciniphila, a dedicated intestinal mucin degrader, and its use in exploring intestinal metagenomes

Background

The human gastrointestinal tract contains a complex community of microbes, fulfilling important health-promoting functions. However, this vast complexity of species hampers the assignment of responsible organisms to these functions. Recently, Akkermansia muciniphila, a new species from the deeply branched phylum Verrucomicrobia, was isolated from the human intestinal tract based on its capacity to efficiently use mucus as a carbon and nitrogen source. This anaerobic resident is associated with the protective mucus lining of the intestines.

Methodology/Principal Findings

In order to uncover the functional potential of A. muciniphila, its genome was sequenced and annotated. It was found to contain numerous candidate mucinase-encoding genes, but lacking genes encoding canonical mucus-binding domains. Numerous phage-associated sequences found throughout the genome indicate that viruses have played an important part in the evolution of this species. Furthermore, we mined 37 GI tract metagenomes for the presence, and genetic diversity of Akkermansia sequences. Out of 37, eleven contained 16S ribosomal RNA gene sequences that are >95% identical to that of A. muciniphila. In addition, these libraries were found to contain large amounts of Akkermansia DNA based on average nucleotide identity scores, which indicated in one subject co-colonization by different Akkermansia phylotypes. An additional 12 libraries also contained Akkermansia sequences, making a total of ∼16 Mbp of new Akkermansia pangenomic DNA. The relative abundance of Akkermansia DNA varied between <0.01% to nearly 4% of the assembled metagenomic reads. Finally, by testing a large collection of full length 16S sequences, we find at least eight different representative species in the genus Akkermansia.

Conclusions/Significance

These large repositories allow us to further mine for genetic heterogeneity and species diversity in the genus Akkermansia, providing novel insight towards the functionality of this abundant inhabitant of the human intestinal tract.     

Diversity of the Lactobacillus group in breast milk and vagina of healthy women and potential role in the colonization of the infant gut

AIMS: To evaluate the diversity of the Lactobacillus group in breast milk and the vagina of healthy women and understand their potential role in the infant gut colonization using the 16S rRNA gene approaches. METHODS AND RESULTS: Samples of breast milk, vaginal swabs and infant faeces were aseptically collected from five mothers whose neonates were born by vaginal delivery and another five that had their babies by caesarean section. After polymerase chain reaction (PCR) amplification using Lactobacillus group-specific primers, amplicons were analysed by denaturing gradient gel electrophoresis (DGGE). Clone libraries were constructed to describe the Lactobacillus group diversity. DGGE fingerprints were not related to the delivery method. None of the species detected in vaginal samples were found in breast milk-derived libraries and only few were detected in infant faeces. CONCLUSIONS: The bacterial composition of breast milk and infant faeces is not related to the delivery method. SIGNIFICANCE AND IMPACT OF THE STUDY: It has been suggested that neonates acquire lactobacilli by oral contamination with vaginal strains during delivery; subsequently, newborns would transmit such bacteria to the breast during breastfeeding. However, our findings confirm, at the molecular level that in contrast to the maternal vagina, breast milk seems to constitute a good source of lactobacilli to the infant gut.     

hybridlab (version 1.0): a program for generating simulated hybrids from population samples

We present the computer program hybridlab 1.0 for simulating intraspecific hybrids from population samples of nuclear genetic markers such as microsatellites, allozymes or SNPs (single nucleotide polymorphisms). The program generates a user‐specified number of multilocus F1 hybrid genotypes between any pair of potentially hybridizing populations included in a standard input‐file of multilocus genotypes for population genetic analysis. This simple, user‐friendly program has a wide range of applications for studying natural and artificial hybridization; in particular, for evaluating the statistical power for individual assignment of parental and hybrid individuals. An example of application for Atlantic cod populations is given.     

Microbiome Analysis of Stool Samples from African Americans with Colon Polyps

Background

Colonic polyps are common tumors occurring in ~50% of Western populations with ~10% risk of malignant progression. Dietary agents have been considered the primary environmental exposure to promote colorectal cancer (CRC) development. However, the colonic mucosa is permanently in contact with the microbiota and its metabolic products including toxins that also have the potential to trigger oncogenic transformation.

Aim

To analyze fecal DNA for microbiota composition and functional potential in African Americans with pre-neoplastic lesions.

Materials & Methods

We analyzed the bacterial composition of stool samples from 6 healthy individuals and 6 patients with colon polyps using 16S ribosomal RNA-based phylogenetic microarray; the Human intestinal Tract Chip (HITChip) and 16S rRNA gene barcoded 454 pyrosequencing. The functional potential was determined by sequence-based metagenomics using 454 pyrosequencing.

Results

Fecal microbiota profiling of samples from the healthy and polyp patients using both a phylogenetic microarraying (HITChip) and barcoded 454 pyrosequencing generated similar results. A distinction between both sets of samples was only obtained when the analysis was performed at the sub-genus level. Most of the species leading to the dissociation were from the Bacteroides group. The metagenomic analysis did not reveal major differences in bacterial gene prevalence/abundances between the two groups even when the analysis and comparisons were restricted to available Bacteroides genomes.

Conclusion

This study reveals that at the pre-neoplastic stages, there is a trend showing microbiota changes between healthy and colon polyp patients at the sub-genus level. These differences were not reflected at the genome/functions levels. Bacteria and associated functions within the Bacteroides group need to be further analyzed and dissected to pinpoint potential actors in the early colon oncogenic transformation in a large sample size.