Molecular methods for studying methanogens of the human gastrointestinal tract: current status and future directions

The evolving role of methanogenic archaea in mammalian microbiomes

Methanogenic archaea (methanogens) represent a diverse group of microorganisms that inhabit various environmental and host-associated microbiomes. These organisms play an essential role in global carbon cycling given their ability to produce methane, a potent greenhouse gas, as a by-product of their energy production. Recent advances in culture-independent and -dependent studies have highlighted an increased prevalence of methanogens in the host-associated microbiome of diverse animal species. Moreover, there is increasing evidence that methanogens, and/or the methane they produce, may play a substantial role in human health and disease. This review addresses the expanding host-range and the emerging view of host-specific adaptations in methanogen biology and ecology, and the implications for host health and disease.

Altered Gut Microbial Fermentation and Colonization with Methanobrevibacter smithii in Renal Transplant Recipients

Renal transplant recipients (RTRs) often suffer from posttransplant diarrhea. The observed dysbiosis in RTR may influence the fermentation processes in the gut. In this study, we aimed to investigate whether fermentation differs between RTRs and healthy controls (HCs), by measuring breath H₂ and CH₄ concentrations. Additionally, we determined the fecal presence of the methanogen Methanobrevibacter smithii (M. smithii), which plays a main role in the process of methanogenesis. Data from the TransplantLines Biobank and Cohort Study (NCT03272841) was used. A total of 142 RTRs and 77 HCs were included. Breath H₂ concentrations in RTRs were not significantly different from HCs. Breath CH₄ concentrations in RTRs were significantly lower compared with HCs (median [interquartile range (IQR)] 7.5 [3.9–10.6] ppm vs. 16.0 [8.0–45.5] ppm, p < 0.001). M. smithii was less frequently present in the feces of RTRs compared to HCs (28.6% vs. 86.4% resp., p < 0.001). Our findings regarding the altered methanogenesis in the gut of RTRs show similarities with previous results in inflammatory bowel disease patients. These findings provide novel insight into the alterations of fermentation after renal transplantation, which may contribute to understanding the occurrence of posttransplant diarrhea.

Exploring the Archaeome: Detection of Archaeal Signatures in the Human Body

Due to their fundamentally different biology, archaea are consistently overlooked in conventional microbiome surveys. Using amplicon sequencing, we evaluated methodological set-ups to detect archaea in samples from five different body sites: respiratory tract (nasal cavity), digestive tract (mouth, appendix, and stool) and skin. With optimized protocols, the detection of archaeal ribosomal sequence variants (RSVs) was increased from one (found in currently used, so-called "universal" approach) to 81 RSVs in a representative sample set. The results from this extensive primer-evaluation led to the identification of the primer pair combination 344f-1041R/519F-806R which performed superior for the analysis of the archaeome of gastrointestinal tract, oral cavity and skin. The proposed protocol might not only prove useful for analyzing the human archaeome in more detail but could also be used for other holobiont samples.

Mutual Metabolic Interactions in Co-cultures of the Intestinal Anaerostipes rhamnosivorans With an Acetogen, Methanogen, or Pectin-Degrader Affecting Butyrate Production

The human intestinal tract harbors diverse and complex microbial communities that have a vast metabolic capacity including the breakdown of complex carbohydrates into short chain fatty acids, acetate, propionate, and butyrate. As butyrate is beneficial for gut health there is much attention on butyrogenic bacteria and their role in the colonic anaerobic food chain. However, our understanding how production of butyrate by gut microorganisms is controlled by interactions between different species and environmental nutrient availability is very limited. To address this, we set up experimental in vitro co-culture systems to study the metabolic interactions of Anaerostipes rhamnosivorans, a butyrate producer with each of its partners; Blautia hydrogenotrophica, an acetogen; Methanobrevibacter smithii, a methanogen and Bacteroides thetaiotaomicron, a versatile degrader of plant cell wall pectins; through corresponding specific cross-feeding. In all co-cultures, A. rhamnosivorans was able to benefit from its partner for enhanced butyrate formation compared to monocultures. Interspecies transfer of hydrogen or formate from A. rhamnosivorans to the acetogen B. hydrogenotrophica and in turn of acetate from the acetogen to the butyrogen were essential for butyrate formation. A. rhamnosivorans grown on glucose supported growth of M. smithii via interspecies formate/hydrogen transfer enhancing butyrate formation. In the co-culture with pectin, lactate was released by B. thetaiotaomicron which was concomitantly used by A. rhamnosivorans for the production of butyrate. Our findings indicate enhanced butyrate formation through microbe-microbe interactions between A. rhamnosivorans and an acetogen, a methanogen or a pectin-degrader. Such microbial interactions enhancing butyrate formation may be beneficial for colonic health.

Comparative analysis of deep sequenced methanogenic communities: identification of microorganisms responsible for methane production

BACKGROUND

Although interactions between microorganisms involved in biogas production are largely uncharted, it is commonly accepted that methanogenic Archaea are essential for the process. Methanogens thrive in various environments, but the most extensively studied communities come from biogas plants. In this study, we employed a metagenomic analysis of deeply sequenced methanogenic communities, which allowed for comparison of taxonomic and functional diversity as well as identification of microorganisms directly involved in various stages of methanogenesis pathways.

RESULTS

A comprehensive metagenomic approach was used to compare seven environmental communities, originating from an agricultural biogas plant, cattle-associated samples, a lowland bog, sewage sludge from a wastewater treatment plant and sediments from an ancient gold mine. In addition to the native consortia, two laboratory communities cultivated on maize silage as the sole substrate were also analyzed. Results showed that all anaerobic communities harbored genes of all known methanogenesis pathways, but their abundance varied greatly between environments and that genes were encoded by different methanogens. Identification of microorganisms directly involved in different stages of methane production revealed that hydrogenotrophic methanogens, such as Methanoculleus, Methanobacterium, Methanobrevibacter, Methanocorpusculum or Methanoregula, predominated in most native communities, whereas acetoclastic Methanosaeta seemed to be the key methanogen in the wastewater treatment plant. Furthermore, in many environments, the methylotrophic pathway carried out by representatives of Methanomassiliicoccales, such as Candidatus Methanomethylophilus and Candidatus Methanoplasma, seemed to play an important role in methane production. In contrast, in stable laboratory reactors substrate versatile Methanosarcina predominated.

CONCLUSIONS

The metagenomic approach presented in this study allowed for deep exploration and comparison of nine environments in which methane production occurs. Different abundance of methanogenesis-related functions was observed and the functions were analyzed in the phylogenetic context in order to identify microbes directly involved in methane production. In addition, a comparison of two metagenomic analytical tools, MG-RAST and MetAnnotate, revealed that combination of both allows for a precise characterization of methanogenic communities.

Functional amplification and preservation of human gut microbiota

Background: The availability of fresh stool samples is a prerequisite in most gut microbiota functional studies.

Objective: Strategies for amplification and long-term gut microbiota preservation from fecal samples would favor sample sharing, help comparisons and reproducibility over time and between laboratories, and improve the safety and ethical issues surrounding fecal microbiota transplantations.

Design: Taking advantage of in vitro gut-simulating systems, we amplified the microbial repertoire of a fresh fecal sample and assessed the viability and resuscitation of microbes after preservation with some common intracellular and extracellular acting cryoprotective agents (CPAs), alone and in different combinations. Preservation efficiencies were determined after 3 and 6 months and compared with the fresh initial microbiota diversity and metabolic activity, using the chemostat-based Environmental Control System for Intestinal Microbiota (ECSIM) in vitro model of the gut environment. Microbial populations were tested for fermentation gas, short-chain fatty acids, and composition of amplified and resuscitated microbiota, encompassing methanogenic archaea.

Results: Amplification of the microbial repertoire from a fresh fecal sample was achieved with high fidelity. Dimethylsulfoxide, alone or mixed with other CPAs, showed the best efficiency for functional preservation, and the duration of preservation had little effect.

Conclusions: The amplification and resuscitation of fecal microbiota can be performed using specialized in vitro gut models. Correct amplification of the initial microbes should ease the sharing of clinical samples and improve the safety of fecal microbiota transplantation.

Abbreviations: CDI, Clostridium difficile infection; CPA, cryoprotective agent; D, DMSO, dimethylsulfoxide; FMT, fecal microbiota transplantation; G, glycerol; IBD, inflammatory bowel disease; P, PEG-4000, polyethylene glycol 4000 g.mol⁻¹; SCFA, short-chain fatty acid; SNR, signal-to-noise ratio

Unexplored Archaeal Diversity in the Great Ape Gut Microbiome

Our findings show that Archaea are a habitual and vital component of human and great ape gut microbiomes but are largely ignored on account of the failure of previous studies to realize their full diversity. Here we report unprecedented levels of archaeal diversity in great ape gut microbiomes, exceeding that detected by conventional 16S rRNA gene surveys. Paralleling what has been reported for bacteria, there is a vast reduction of archaeal diversity in humans. Our study demonstrates that archaeal diversity in the great ape gut microbiome greatly exceeds that reported previously and provides the basis for further studies on the role of archaea in the gut microbiome.

Archaea are habitual residents of the human gut flora but are detected at substantially lower frequencies than bacteria. Previous studies have indicated that each human harbors very few archaeal species. However, the low diversity of human-associated archaea that has been detected could be due to the preponderance of bacteria in these communities, such that relatively few sequences are classified as Archaea even when microbiomes are sampled deeply. Moreover, the universal prokaryotic primer pair typically used to interrogate microbial diversity has low specificity to the archaeal domain, potentially leaving vast amounts of diversity unobserved. As a result, the prevalence, diversity, and distribution of archaea may be substantially underestimated. Here we evaluate archaeal diversity in gut microbiomes using an approach that targets virtually all known members of this domain. Comparing microbiomes across five great ape species allowed us to examine the dynamics of archaeal lineages over evolutionary time scales. These analyses revealed hundreds of gut-associated archaeal lineages, indicating that upwards of 90% of the archaeal diversity in the human and great ape gut microbiomes has been overlooked. Additionally, these results indicate a progressive reduction in archaeal diversity in the human lineage, paralleling the decline reported for bacteria.

IMPORTANCE Our findings show that Archaea are a habitual and vital component of human and great ape gut microbiomes but are largely ignored on account of the failure of previous studies to realize their full diversity. Here we report unprecedented levels of archaeal diversity in great ape gut microbiomes, exceeding that detected by conventional 16S rRNA gene surveys. Paralleling what has been reported for bacteria, there is a vast reduction of archaeal diversity in humans. Our study demonstrates that archaeal diversity in the great ape gut microbiome greatly exceeds that reported previously and provides the basis for further studies on the role of archaea in the gut microbiome.

Identification of an Intestinal Microbiota Signature Associated With Severity of Irritable Bowel Syndrome

BACKGROUND & AIMS

We have limited knowledge about the association between the composition of the intestinal microbiota and clinical features of irritable bowel syndrome (IBS). We collected information on the fecal and mucosa-associated microbiota of patients with IBS and evaluated whether these were associated with symptoms.

METHODS

We collected fecal and mucosal samples from adult patients who met the Rome III criteria for IBS at a secondary/tertiary care outpatient clinics in Sweden, as well as from healthy subjects. The exploratory set comprised 149 subjects (110 with IBS and 39 healthy subjects); 232 fecal samples and 59 mucosal biopsy samples were collected and analyzed by 16S ribosomal RNA targeted pyrosequencing. The validation set comprised 46 subjects (29 with IBS and 17 healthy subjects); 46 fecal samples, but no mucosal samples, were collected and analyzed. For each subject, we measured exhaled H₂ and CH₄, oro-anal transit time, and the severity of psychological and gastrointestinal symptoms. Fecal methanogens were measured by quantitative polymerase chain reaction. Numerical ecology analyses and a machine learning procedure were used to analyze the data.

RESULTS

Fecal microbiota showed covariation with mucosal adherent microbiota. By using classic approaches, we found no differences in fecal microbiota abundance or composition between patients with IBS vs healthy patients. A machine learning procedure, a computational statistical technique, allowed us to reduce the 16S ribosomal RNA data complexity into a microbial signature for severe IBS, consisting of 90 bacterial operational taxonomic units. We confirmed the robustness of the intestinal microbial signature for severe IBS in the validation set. The signature was able to discriminate between patients with severe symptoms, patients with mild/moderate symptoms, and healthy subjects. By using this intestinal microbiota signature, we found IBS symptom severity to be associated negatively with microbial richness, exhaled CH₄, presence of methanogens, and enterotypes enriched with Clostridiales or Prevotella species. This microbiota signature could not be explained by differences in diet or use of medications.

CONCLUSIONS

In analyzing fecal and mucosal microbiota from patients with IBS and healthy individuals, we identified an intestinal microbiota profile that is associated with the severity of IBS symptoms.

TRIAL REGISTRATION NUMBER

NCT01252550.

Comparative Analysis of Microbial Diversity in Termite Gut and Termite Nest Using Ion Sequencing

Termite gut and termite nest possess complex microbial communities. However, only limited information is available on the comparative investigation of termite gut- and nest-associated microbial communities. In the present study, we examined and compared the bacterial diversity of termite gut and their respective nest by high-throughput sequencing of V3 hypervariable region of 16S rDNA. A total of 14 barcoded libraries were generated from seven termite gut samples and their respective nest samples, and sequenced using Ion Torrent platform. The sequences of each group were pooled, which yielded 170,644 and 132,000 reads from termite gut and termite nest samples, respectively. Phylogenetic analysis revealed significant differences in the bacterial diversity and community structure between termite gut and termite nest samples. Phyla Verrucomicrobia and Acidobacteria were observed only in termite gut, whereas Synergistetes and Chlorobi were observed only in termite nest samples. These variations in microbial structure and composition could be attributed with the differences in physiological conditions prevailing in the termite gut (anoxic and alkaline) and termite nest (oxic, slightly acidic and rich in organic matter) environment. Overall, this study unmasked the complexity of bacterial population in the respective niche. Interestingly, majority of the sequence reads could be classified only up to the domain level indicating the presence of a huge number of uncultivable or unidentified novel bacterial species in both termite gut and nest samples. Whole metagenome sequencing and assessing the metabolic potential of these samples will be useful for biotechnological applications.