Complete genome sequence of the novel virulent phage PMBT24 infecting Enterocloster bolteae from the human gut

PMBT24, the first reported virulent bacteriophage infecting the anaerobic human gut bacterium Enterocloster bolteae strain MBT-21, was isolated from a municipal sewage sample and its genome was sequenced and analysed. Transmission electron microscopy revealed a phage with an icosahedral head and a long, non-contractile tail. The circularly permutated, 99,962-bp dsDNA genome of the pac-type phage has a mol% G + C content of 32.1 and comprises 173 putative ORFs. Using amino acid sequence-based phylogeny, phage PMBT24 showed similarity to other, hitherto non-published phage genomes in the databases. Our data suggested phage PMBT24 to present the type phage of a novel genus (proposed name Kielvirus) and novel family of phages (proposed name Kielviridae).

Swine farming shifted the gut antibiotic resistome of local people

Antibiotic resistance genes (ARGs) are prevalent in the livestock environment, but little is known about impacts of animal farming on the gut antibiotic resistome of local people. Here we conducted metagenomic sequencing to investigate gut microbiome and resistome of residents in a swine farming village as well as environmental relevance by comparing with a nearby non-farming village. Results showed a shift of gut microbiome towards unhealthy status in the residents of swine farming village, with an increased abundance and diversity in pathogens and ARGs. The resistome composition in human guts was more similar with that in swine feces and air than that in soil and water. Mobile gene elements were closely associated with the prevalence of gut resistome. Some plasmid-borne ARGs were colocalized in similar genetic contexts in gut and environmental samples. Metagenomic binning obtained 47 ARGs-carrying families in human guts, and therein Enterobacteriaceae posed the highest threats in antibiotic resistance and virulence. Several ARGs-carrying families were shared by gut and environmental samples (mainly in swine feces and air), and the ARGs were evolutionarily conservative within genera. The findings highlight that swine farming can shape gut resistome of local people with close linkage to farm environmental exposures.

Genetic characteristics of Blastocystis sp. ST3 at the genome level in the Chinese population

The gut microbiota comprises the collective genomes of microbial symbionts and is composed of bacteria, fungi, viruses, and protists within the gastrointestinal tract of a host. Although the literature associated with gut microbiota is increasing, studies on eukaryotes in the human gut are just beginning to surface. Blastocystis is one of the most common intestinal parasites of humans and animals and is estimated to colonise more than 1 billion people on a global scale. However, the understanding of the genetic characteristics of Blastocystis subtype (ST) at the genome level and its relationship with other members of the gut microbiota is still limited. In this study, by surveying the prevalence and genome characteristics of Blastocystis sp. ST3 in a Chinese population (prevalence % = 6.09%), the association of Blastocystis sp. ST3 with region and time and the structure of the resident gut bacterial population was clarified. We identified novel sequences (50 mitochondrial and 41 genome sequences) and determined their genetic diversity amongst strains within Blastocystis sp. ST3 (4.14 SNPs/kb). Furthermore, we found that colonisation of Blastocystis was strongly associated with increased bacterial richness and higher abundance of several anaerobes. Finally, we performed time series sampling on two Blastocystis-positive individuals and confirmed that Blastocystis could exist continually in the human gut microbiota and persist for a long time, even for 4 years.

Gut microbiota of healthy Asians and their discriminative features revealed by metagenomics approach

This study is conducted to identify the microbial architecture and its functional capacity in the Asian population via the whole metagenomics approach. A brief comparison of the Asian countries namely Malaysia, India, China, and Thailand, was conducted, giving a total of 916 taxa under observation. Results show a close representation of the taxonomic diversity in the gut microbiota of Malaysia, India, and China, where Bacteroidetes, Firmicutes, and Actinobacteria were more predominant compared to other phyla. Mainly due to the multi-racial population in Malaysia, which also consists of Malays, Indian, and Chinese, the population tend to share similar dietary preferences, culture, and lifestyle, which are major influences that shapes the structure of the gut microbiota. Moreover, Thailand showed a more distinct diversity in the gut microbiota which was highly dominated by Firmicutes. Meanwhile, functional profiles show 1034 gene families that are common between the four countries. The Malaysia samples are having the most unique gene families with a total of 67,517 gene families, and 51 unique KEGG Orthologs, mainly dominated by the metabolic pathways, followed by microbial metabolism in diverse environments. In conclusion, this study provides some general overview on the structure of the Asian gut microbiota, with some additional highlights on the Malaysian population.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13205-023-03671-3.

In vitro models to study human gut-microbiota interactions: Applications, advances, and limitations

In vitro models of the human gut help compensate for the limitations of animal models in studying the human gut-microbiota interaction and are indispensable in the clarification the mechanism of microbial action or in the high-throughput screening and functional evaluation of probiotics. The development of these models constitutes a rapidly developing field of research. From 2D¹ to 3D² and from simple to complex, several in vitro cell and tissue models have been developed and continuously improved. In this review, we categorized and summarized these models and described their development, applications, advances, and limitations by using specific examples. We also highlighted the best ways to select an appropriate in vitro model, and we also discussed which variables to consider when imitating microbial and human gut epithelial interactions.

nov., a new bacterial species prevalent in the human gut and predicted to produce indole and tryptophan based on genomic analysis

The novel bacterial strain Marseille-P4005^T was isolated from the stool sample of a healthy donor. It is a Gram-stain negative, non-motile, non-spore-forming rod. It grew optimally at 37 °C and at pH 7.0 on 5% sheep blood-enriched Columbia agar after preincubation in a blood-culture bottle supplemented with rumen and blood. This strain does not ferment monosaccharides (except D-tagatose), disaccharides, or polymeric carbohydrates. The major cellular fatty acids were hexadecenoic (24.6%), octadecanoic (22.8%), and tetradecanoic (20.1%) acids. Next-generation sequencing revealed a genome size of 3.2 Mbp with a 56.4 mol% G + C. Phylogenetic analysis based on the 16S rRNA gene highlighted Agathobaculum desmolans strain ATCC 43058^T as the closest related strain. The OrthoANI, AAI, and digital DNA-DNA hybridization values were below the critical thresholds of 95%, 95-96%, and 70%, respectively, to define a novel bacterial species. Antibiotic resistance genes APH(3')-IIIa, erm(B), and tet(W) were detected with high identity percentages of 100%, 98.78%, and 97.18% for each gene, respectively. The APH(3')-IIIa gene confers resistance to amikacin, erm(B) gene confers resistance to erythromycin, lincomycin, and clindamycin, while tet(W) gene confers resistance to doxycycline and tetracycline. Based on KEGG BlastKOALA analyses, the annotation results showed that our strain could use glucose to produce L-lactate and pyruvate but not acetate or ethanol. Also, strain Marseille-P4005^T was predicted to use phenylalanine to produce indole, a major intercellular signal molecule within the gut microbial ecosystem. Through having a gene coding for tryptophan synthase beta chain (trpB), strain Marseille-P4005^T could produce L-tryptophan (an essential amino acid) from indole. Strain Marseille-P4005^T showed its highest prevalence in the human gut (34.19%), followed by the reproductive system (17.98%), according to a query carried out on the Integrated Microbial NGS (IMNGS) platform. Based on phylogenetic, phenotypic, and genomic analyses, we classify strain Marseille-P4005^T (= CSUR P4005 = CECT 9669), a novel species within the genus Agathobaculum, for which the name of Agathobaculum massiliense sp. nov. is proposed.

Diversity of ethanolamine utilization by human commensal Escherichiacoli

Ethanolamine (EA) is a substrate naturally present in the human gut and its catabolism by bacteria relies on the presence of eut genes encoding specific metabolic enzymes and accessory proteins. To date, EA utilization has been mostly investigated in gut bacterial pathogens. The aim of this study was to evaluate the ability of human gut commensal Escherichia coli isolates to utilize EA as a nitrogen and/or carbon sources. Although the capacity to consume EA is heterogeneous between the 40 strains of our collection, we determined that most of them could degrade EA to generate ammonia, a useful nitrogen resource for growth. Three isolates were also able to exploit EA as a carbon source. We also revealed that the inability of some strains to catabolize EA is explained either by mutations in the eut locus or by a defect in gene transcription. Finally, we demonstrated the importance of EA utilization for an optimal fitness of commensal E. coli in vivo. Our study provides new insights on the diversity of commensal E. coli strains to utilize EA as a nutrient in the gut and opens the way for new research in the field of interactions between host, gut microbiota and pathogens.

The human gut mycobiome and the specific role of Candida albicans: where do we stand, as clinicians?

BACKGROUND

The so-called 'mycobiome' has progressively acquired interest and increased the complexity of our understanding of the human gut microbiota. Several questions are arising concerning the role of fungi (and in particular of Candida albicans), the so-called 'mycobiome', that has been neglected for a long time and only recently gained interest within the scientific community. There is no consensus on mycobiome normobiosis because of its instability and variability. This review aims to raise awareness about this interesting topic and provide a framework to guide physicians faced with such questions.

OBJECTIVES

To summarize current knowledge and discuss current and potential implications of the mycobiome in clinical practice.

SOURCES

We performed a review of the existing literature in Medline Pubmed.

CONTENT

This review identifies several studies showing associations between specific mycobiome profiles and health. Fungi represent a significant biomass within the microbiota and several factors, such as diet, sex, age, co-morbidities, medications, immune status and inter-kingdom interactions, can influence its structure and population. The human gut mycobiota is indeed a key factor for several physiological processes (e.g. training of the immune system against infections) and pathological processes (e.g. immunological/inflammatory disorders, inflammatory bowel diseases, metabolic syndromes). Moreover, the mycobiome (and C. albicans in particular) could influence an even broader spectrum of conditions such as psychiatric diseases (depression, schizophrenia, bipolar disorder) or chronic viral infections (human immunodeficiency virus, hepatitis B virus); moreover, it could be implicated in tumorigenesis.

IMPLICATIONS

Candida albicans is a well-known opportunistic pathogen and a major component of the mycobiome but its role in the gastrointestinal tract is still poorly understood. From a potential screening biomarker to a key factor for several pathological processes, its presence could influence or even modify our clinical practice.

Expression of VAChT and 5-HT in Ulcerative colitis dendritic cells

Ulcerative colitis is a chronic inflammatory condition of the gastrointestinal tract that can affect people of worldwide. In contrast with Crohn's disease, that can relate the entire thickness of the bowel wall, the inflammation of ulcerative colitis is limited to the colonic mucosa. Immune cells including activated T cells, plasma cells, mast cells, macrophages, and dendritic cells (DCs) trigger the inflammation. Furthermore, dendritic cells are antigen presenting cells involved in maintaining intestinal immune homeostasis. It has been described an increment of number in DCs colonic mucosa of patients with ulcerative colitis. The immune cells such as antigen-presenting cells can act as autocrine or paracrine modulators. Recent studies showed that dendritic cells synthetized and released classical neurotransmitters as glutamate, dopamine, acetylcholine, and serotonin. Paraformaldehyde-fixed intestinal tissues, obtained from the stricture sites of ten patients with ulcerative colitis were analyzed by immunostaining for Langerin/CD207, serotonin and vesicular acetylcholine transporter. As controls, unaffected (normal) portions of five patients were also investigated. Aim of this study was to characterize for the first time the human gut dendritic cells of ulcerative colitis patients, with Langerin/CD207 that is a c-type lectin expressed by different types of DCs and to colocalize in the same cells the expression of serotonin and vesicular acetylcholine transporter, showing the link between dendritic cells, gut enterochromaffin cells or autonomic nerves in immune activation and generation of intestinal inflammation.

The human gut archaeome: identification of diverse haloarchaea in Korean subjects

BACKGROUND

Archaea are one of the least-studied members of the gut-dwelling autochthonous microbiota. Few studies have reported the dominance of methanogens in the archaeal microbiome (archaeome) of the human gut, although limited information regarding the diversity and abundance of other archaeal phylotypes is available.

RESULTS

We surveyed the archaeome of faecal samples collected from 897 East Asian subjects living in South Korea. In total, 42.47% faecal samples were positive for archaeal colonisation; these were subsequently subjected to archaeal 16S rRNA gene deep sequencing and real-time quantitative polymerase chain reaction-based abundance estimation. The mean archaeal relative abundance was 10.24 ± 4.58% of the total bacterial and archaeal abundance. We observed extensive colonisation of haloarchaea (95.54%) in the archaea-positive faecal samples, with 9.63% mean relative abundance in archaeal communities. Haloarchaea were relatively more abundant than methanogens in some samples. The presence of haloarchaea was also verified by fluorescence in situ hybridisation analysis. Owing to large inter-individual variations, we categorised the human gut archaeome into four archaeal enterotypes.

CONCLUSIONS

The study demonstrated that the human gut archaeome is indigenous, responsive, and functional, expanding our understanding of the archaeal signature in the gut of human individuals. Video Abstract.

First reported case of Gilbertella persicaria in human stool: outcome of a community study from Segamat, Johor, Malaysia

Species of fungi belonging to the order Mucorales can be found everywhere in the environment. Gilbertella persicaria, which belongs to this order, have often been isolated from fruits and in water systems. However, there has been no report of isolation of this fungus from human samples. During a gut mycobiome study, from the Segamat community, Gilbertella persicaria was isolated from a human fecal sample and was characterized through a series of morphological assessment, biochemical tests, and molecular techniques. The isolate produced a white velvety surface that turned grayish after 24 h. Although no biofilm production was observed, the results indicated that the isolate could form calcium oxalate crystals, produced urease, and was resistant to low pH. The isolate was sensitive to amphotericin but resistant to voriconazole and itraconazole. The features of this fungus that could help in its survival in the human gut are also discussed.

Description of Prevotella rectalis sp. nov., a new bacterium isolated from human rectum

Using a taxonogenomics method, we describe here a Gram-negative bacterium named Prevotella rectalis sp. nov., strain Marseille-P4334^T (= CSUR P4334) isolated from the rectum. Strain Marseille-P4334^T has a genome that measure 3.03 Mbp with 43.3 mol% G + C content.

Characterization of three novel β-galactosidases from Akkermansia muciniphila involved in mucin degradation

The gut microbe Akkermansia (A.) muciniphila becomes increasingly important as its prevalence is inversely correlated with different human metabolic disorders and diseases. This organism is a highly potent degrader of intestinal mucins and the hydrolyzed glycan compounds can then serve as carbon sources for the organism itself or other members of the gut microbiota via cross-feeding. Despite its importance for the hosts' health and microbiota composition, exact mucin degrading mechanisms are still mostly unclear. In this study, we identified and characterized three extracellular β-galactosidases (Amuc_0771, Amuc_0824, and Amuc_1666) from A. muciniphila ATCC BAA-835. The substrate spectrum of all three enzymes was analyzed and the results indicated a preference for different galactosidic linkages for each hydrolase. All preferred target structures are prevalent within mucins of the colonic habitat of A. muciniphila. To check a potential function of the enzymes for the degradation of mucosal glycan structures, porcine stomach mucin was applied as a model substrate. In summary, we could confirm the involvement of all three β-galactosidases from A. muciniphila in the complex mucin degradation machinery of this important gut microbe. These findings could contribute to the understanding of the molecular interactions between A. muciniphila and its host on a molecular level.

Genome sequence data announcement of Bifidobacterium bifidum strain ICIS-202 isolated from a healthy human intestine stimulating active nitrogen oxide production in macrophages

This report presents the data on the draft genome sequence of Bifidobacterium bifidum strain ICIS-202. The strain, isolated from the intestine of a young healthy woman, was deposited in the State Collection of Microorganisms of Normal Microbiota in Gabrichevsky Institute of Epidemiology and Microbiology, Moscow, Russian Federation as a prospective candidate for probiotic development. The size of the genome was 2,265,060 bp (62,4% G + C content). The annotation revealed 1771 coding sequences, including 1771 proteins, 5 rRNA, 52 tRNA, and 3 ncRNA genes. The draft genome sequence data of B. bifidum strain ICIS-202 is available in DBJ/EMBL/GenBank under the accession nos. SSMS00000000.1, PRJNA412271 and SAMN07709009 for Genome, Bioproject and Biosample databases, respectively.

Enterobacter timonensis sp. nov., a new bacterium isolated from a fresh human stool specimen

Enterobacter timonensis strain mt20^T (= CSUR P2201^T, = DSM101775^T) is a new species isolated from a fresh human stool specimen.

Brachybacterium massiliense sp. nov., a new bacterium isolated from stool from a healthy Senegalese child

Based on our phenotypic and genotypic analyses, Brachybacterium massiliense strain Marseille-P2240T (= CSURP2240; = DSM 101766) is a new species isolated from stool of a healthy subject. The strain was stained Gram-positive. It was aerobic, catalase-positive and oxidase-negative. Its optimal growth occurs at 37°C in aerobic condition. The 16S ribosomal RNA sequence analysis revealed that strain Marseille-P2240T shown 98.18% similarity with Brachybacterium saurashtrense strain JG 06, the more closely related species with standing in nomenclature.

The Human Gut Microbiome is Structured to Optimize Molecular Interaction Networks

Microbiome studies estimate the functions of bacterial flora in situ on the basis of species composition and gene function; however, estimation of interspecies interaction networks is challenging. This study aimed to develop a method to predict the interaction networks among bacterial species from human gut metagenome data using bioinformatics methods. Our proposed method revealed that adjacent gene pairs involved in bacterial interspecies interactions are localized at boundary regions and encode membrane proteins mediating interactions between the intracellular and extracellular environments, e.g., transporters and channel proteins, and those mediating interactions between metabolic pathways. Actual human gut metagenome data displayed numerous such highly reliable interspecies interaction gene pairs in comparison with random simulated metagenome data sets, suggesting that the species composition of the actual microbiome facilitated more robust interspecific interactions. The present results indicate that molecular interaction networks in human gut flora are organized by a combination of interaction networks common to all individuals and group-specific interaction networks.

Gut microbiome profiling and colorectal cancer in African Americans and Caucasian Americans

AIM

To determine whether and to what extent the gut microbiome is involved in regulating racial disparity in colorectal cancer (CRC).

METHODS

All patients were recruited and experiments were performed in accordance with the relevant guidelines and regulations by the Institutional Review Boards (IRB), committees of the John D. Dingell VAMC and Wayne State University guidelines. African American (AA) and Caucasian American (CA) patients were scheduled for an outpatient screening for colonoscopy, and no active malignancy volunteer patients were doubly consented, initially by the gastroenterologist and later by the study coordinator, for participation in the study. The gut microbial communities in colonic effluents from AAs and CAs were examined using 16sRNA profiling, and bacterial identifications were validated by performing SYBR-based Real Time PCR. For metagenomic analysis to characterize the microbial communities, multiple software/tools were used, including Metastats and R statistical software.

RESULTS

It is generally accepted that the incidence and mortality of CRC is higher in AAs than in CAs. However, the reason for this disparity is not well understood. We hypothesize that the gut microbiome plays a role in regulating this disparity. Indeed, we found significant differences in species richness and diversity between AAs and CAs. Bacteroidetes was more abundant in AAs than in CAs. In particular, the pro-inflammatory bacteria Fusobacterium nucleatum and Enterobacter species were significantly higher in AAs, whereas probiotic Akkermansia muciniphila and Bifidobacterium were higher in CAs. The polyphyletic Clostridia class showed a divergent pattern, with Clostridium XI elevated in AAs, and Clostridium IV, known for its beneficial function, higher in CAs. Lastly, the AA group had decreased microbial diversity overall in comparison to the CA group. In summary, there were significant differences in pro-inflammatory bacteria and microbial diversity between AA and CA, which may help explain the CRC disparity between groups.

CONCLUSION

Our current investigation, for the first time, demonstrates microbial dysbiosis between AAs and CAs, which could contribute to the racial disparity of CRC.

Identification of Schizosaccharomyces pombe in the guts of healthy individuals and patients with colorectal cancer: preliminary evidence from a gut microbiome secretome study

Over the years, genetic profiling of the gut microbiome of patients with colorectal cancer (CRC) using genome sequencing has suggested over-representation of several bacterial taxa. However, little is known about the protein or metabolite secretions from the microbiota that could lead to CRC pathology. Proteomic studies on the role of microbial secretome in CRC are relatively rare. Here, we report the identification of proteins from Schizosaccharomyces pombe found in the stool samples of both healthy individuals and patients with CRC. We found that distinctive sets of S. pombe proteins were present exclusively and in high intensities in each group. Our finding may trigger a new interest in the role of gut mycobiota in carcinogenesis.

Draft genome sequence of Fermentimonas caenicola strain SIT8, isolated from the human gut

We report the properties of a draft genome sequence of the bacterium Fermentimonas caenicola strain SIT8 (= CSUR P1560). This strain, whose genome is described here, was isolated from the fecal flora of a healthy 28-month-old Senegalese boy. Strain SIT8 is a facultatively anaerobic Gram-negative bacillus. Here we describe the features of this organism, together with the complete genome sequence and annotation. The 2,824,451-bp long (1 chromosome but no plasmid) contains 2354 protein-coding and 46 RNA genes, including four rRNA genes.

Sediminibacillus massiliensis sp. nov., a moderately halophilic, Gram-positive bacterium isolated from a stool sample of a young Senegalese man

A Gram-positive, moderately halophilic bacterium, referred to as strain Marseille-P3518^T, was isolated from a stool sample with 2% NaCl concentration from a healthy 15-year-old male living in Dielmo, a village in Senegal. Cells are aerobic, rod-shaped and motile and display endospore formation. Strain Marseille-P3518^T can grow in a medium with 0-20% (w/v) sodium chloride (optimally at 5-7.5% w/v). The major fatty acids were 12-methyl-tetradecanoic acid (45.8%), 13-methyl-tetradecanoic acid (26.9%) and 12-methyl-tridecanoic acid (12.8%). The genome is 4,347,479 bp long with 42.1% G+C content. It contains 4282 protein-coding and 107 RNA genes. Phylogenetic analysis based on 16S rRNA gene sequence comparisons showed that strain Marseille-P3518^T is a member of the Bacillaceae family and is closely related to Sediminibacillus albus (97.4% gene sequence similarity). Strain Marseille-P3518^T was clearly differentiated from its phylogenetic neighbors on the basis of phenotypic and genotypic features. Strain Marseille-P3518^T is, therefore, considered to be a novel representative of the genus Sediminibacillus, for which the name Sediminibacillus massiliensis sp. nov. is proposed, and the type strain is Marseille-P3518^T (CSUR P3518T, DSM69894).

VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data

BACKGROUND

Identifying viral sequences in mixed metagenomes containing both viral and host contigs is a critical first step in analyzing the viral component of samples. Current tools for distinguishing prokaryotic virus and host contigs primarily use gene-based similarity approaches. Such approaches can significantly limit results especially for short contigs that have few predicted proteins or lack proteins with similarity to previously known viruses.

METHODS

We have developed VirFinder, the first k-mer frequency based, machine learning method for virus contig identification that entirely avoids gene-based similarity searches. VirFinder instead identifies viral sequences based on our empirical observation that viruses and hosts have discernibly different k-mer signatures. VirFinder's performance in correctly identifying viral sequences was tested by training its machine learning model on sequences from host and viral genomes sequenced before 1 January 2014 and evaluating on sequences obtained after 1 January 2014.

RESULTS

VirFinder had significantly better rates of identifying true viral contigs (true positive rates (TPRs)) than VirSorter, the current state-of-the-art gene-based virus classification tool, when evaluated with either contigs subsampled from complete genomes or assembled from a simulated human gut metagenome. For example, for contigs subsampled from complete genomes, VirFinder had 78-, 2.4-, and 1.8-fold higher TPRs than VirSorter for 1, 3, and 5 kb contigs, respectively, at the same false positive rates as VirSorter (0, 0.003, and 0.006, respectively), thus VirFinder works considerably better for small contigs than VirSorter. VirFinder furthermore identified several recently sequenced virus genomes (after 1 January 2014) that VirSorter did not and that have no nucleotide similarity to previously sequenced viruses, demonstrating VirFinder's potential advantage in identifying novel viral sequences. Application of VirFinder to a set of human gut metagenomes from healthy and liver cirrhosis patients reveals higher viral diversity in healthy individuals than cirrhosis patients. We also identified contig bins containing crAssphage-like contigs with higher abundance in healthy patients and a putative Veillonella genus prophage associated with cirrhosis patients.

CONCLUSIONS

This innovative k-mer based tool complements gene-based approaches and will significantly improve prokaryotic viral sequence identification, especially for metagenomic-based studies of viral ecology.

VirFinder: a novel k-mer based tool for identifying viral sequences from assembled metagenomic data

BACKGROUND

Identifying viral sequences in mixed metagenomes containing both viral and host contigs is a critical first step in analyzing the viral component of samples. Current tools for distinguishing prokaryotic virus and host contigs primarily use gene-based similarity approaches. Such approaches can significantly limit results especially for short contigs that have few predicted proteins or lack proteins with similarity to previously known viruses.

METHODS

We have developed VirFinder, the first k-mer frequency based, machine learning method for virus contig identification that entirely avoids gene-based similarity searches. VirFinder instead identifies viral sequences based on our empirical observation that viruses and hosts have discernibly different k-mer signatures. VirFinder's performance in correctly identifying viral sequences was tested by training its machine learning model on sequences from host and viral genomes sequenced before 1 January 2014 and evaluating on sequences obtained after 1 January 2014.

RESULTS

VirFinder had significantly better rates of identifying true viral contigs (true positive rates (TPRs)) than VirSorter, the current state-of-the-art gene-based virus classification tool, when evaluated with either contigs subsampled from complete genomes or assembled from a simulated human gut metagenome. For example, for contigs subsampled from complete genomes, VirFinder had 78-, 2.4-, and 1.8-fold higher TPRs than VirSorter for 1, 3, and 5 kb contigs, respectively, at the same false positive rates as VirSorter (0, 0.003, and 0.006, respectively), thus VirFinder works considerably better for small contigs than VirSorter. VirFinder furthermore identified several recently sequenced virus genomes (after 1 January 2014) that VirSorter did not and that have no nucleotide similarity to previously sequenced viruses, demonstrating VirFinder's potential advantage in identifying novel viral sequences. Application of VirFinder to a set of human gut metagenomes from healthy and liver cirrhosis patients reveals higher viral diversity in healthy individuals than cirrhosis patients. We also identified contig bins containing crAssphage-like contigs with higher abundance in healthy patients and a putative Veillonella genus prophage associated with cirrhosis patients.

CONCLUSIONS

This innovative k-mer based tool complements gene-based approaches and will significantly improve prokaryotic viral sequence identification, especially for metagenomic-based studies of viral ecology.

Oral Lactobacillus Counts Predict Weight Gain Susceptibility: A 6-Year Follow-Up Study

BACKGROUND

Recent studies have shown an association between weight change and the makeup of the intestinal microbiota in humans. Specifically, Lactobacillus, a part of the entire gastrointestinal tract's microbiota, has been shown to contribute to weight regulation.

AIM

We examined the association between the level of oral Lactobacillus and the subsequent 6-year weight change in a healthy population of 322 Danish adults aged 35-65 years at baseline.

DESIGN

Prospective observational study.

RESULTS

In unadjusted analysis the level of oral Lactobacillus was inversely associated with subsequent 6-year change in BMI. A statistically significant interaction between the baseline level of oral Lactobacillus and the consumption of complex carbohydrates was found, e.g. high oral Lactobacillus count predicted weight loss for those with a low intake of complex carbohydrates, while a medium intake of complex carbohydrates predicted diminished weight gain. A closer examination of these relations showed that BMI change and Lactobacillus level was unrelated for those with high complex carbohydrate consumption.

CONCLUSION

A high level of oral Lactobacillus seems related to weight loss among those with medium and low intakes of complex carbohydrates. Absence, or a low level of oral Lactobacillus, may potentially be a novel marker to identify those at increased risk of weight gain.

Gut and liver T-cells of common clonal origin in primary sclerosing cholangitis-inflammatory bowel disease

BACKGROUND & AIMS

Recruitment of gut-derived memory T-cells to the liver is believed to drive hepatic inflammation in primary sclerosing cholangitis (PSC). However, whether gut-infiltrating and liver-infiltrating T-cells share T cell receptors (TCRs) and antigenic specificities is unknown. We used paired gut and liver samples from PSC patients with concurrent inflammatory bowel disease (PSC-IBD), and normal tissue samples from colon cancer controls, to assess potential T cell clonotype overlap between the two compartments.

METHODS

High-throughput sequencing of TCRβ repertoires was applied on matched colon, liver and blood samples from patients with PSC-IBD (n=10), and on paired tumor-adjacent normal gut and liver tissue samples from colon cancer patients (n=10).

RESULTS

An average of 9.7% (range: 4.7-19.9%) memory T cell clonotypes overlapped in paired PSC-IBD affected gut and liver samples, after excluding clonotypes present at similar frequencies in blood. Shared clonotypes constituted on average 16.0% (range: 8.7-32.6%) and 15.0% (range: 5.9-26.3%) of the liver and gut memory T-cells, respectively. A significantly higher overlap was observed between paired PSC-IBD affected samples (8.7%, p=0.0007) compared to paired normal gut and liver samples (3.6%), after downsampling to equal number of reads.

CONCLUSION

Memory T-cells of common clonal origin were detected in paired gut and liver samples of patients with PSC-IBD. Our data indicate that this is related to PSC-IBD pathogenesis, suggesting that memory T-cells driven by shared antigens are present in the gut and liver of PSC-IBD patients. Our findings support efforts to therapeutically target memory T cell recruitment in PSC-IBD.

LAY SUMMARY

Primary sclerosing cholangitis (PSC) is a devastating liver disease strongly associated with inflammatory bowel disease (IBD). The cause of PSC is unknown, but it has been suggested that the immune reactions in the gut and the liver are connected. Our data demonstrate for the first time that a proportion of the T-cells in the gut and the liver react to similar triggers, and that this proportion is particularly high in patients with PSC and IBD.

Computational determination of the effects of virulent Escherichia coli and salmonella bacteriophages on human gut

BACKGROUND AND OBJECTIVE

Salmonella and Escherichia coli are different types of bacteria that cause food poisoning in humans. In the elderly, infants and people with chronic conditions, it is very dangerous if Salmonella or E. coli gets into the bloodstream and then they must be treated by phage therapy. Treating Salmonella and E. coli by phage therapy affects the gut flora. This research paper presents a system for detecting the effects of virulent E. coli and Salmonella bacteriophages on human gut.

METHODS

A method based on Domain-Domain Interactions (DDIs) model is implemented in the proposed system to determine the interactions between the proteins of human gut bacteria and the proteins of bacteriophages that infect virulent E. coli and Salmonella. The system helps gastroenterologists to realize the effect of injecting bacteriophages that infect virulent E. coli and Salmonella on the human gut.

RESULTS

By testing the system over Enterobacteria phage 933W, Enterobacteria phage VT2-Sa and Enterobacteria phage P22, it resulted in four interactions between the proteins of the bacteriophages that infect E. coli O157:H7, E. coli O104:H4 and Salmonella typhimurium and the proteins of human gut bacterium strains.

CONCLUSION

Several effects were detected such as: antibacterial activity against a number of bacterial species in human gut, regulation of cellular differentiation and organogenesis during gut, lung, and heart development, ammonia assimilation in bacteria, yeasts, and plants, energizing defense system and its function in the detoxification of lipopolysaccharide, and in the prevention of bacterial translocation in human gut.

Xylan degradation by the human gut Bacteroides xylanisolvens XB1A(T) involves two distinct gene clusters that are linked at the transcriptional level

Background

Plant cell wall (PCW) polysaccharides and especially xylans constitute an important part of human diet. Xylans are not degraded by human digestive enzymes in the upper digestive tract and therefore reach the colon where they are subjected to extensive degradation by some members of the symbiotic microbiota. Xylanolytic bacteria are the first degraders of these complex polysaccharides and they release breakdown products that can have beneficial effects on human health. In order to understand better how these bacteria metabolize xylans in the colon, this study was undertaken to investigate xylan breakdown by the prominent human gut symbiont Bacteroides xylanisolvens XB1A^T.

Results

Transcriptomic analyses of B. xylanisolvens XB1A^T grown on insoluble oat-spelt xylan (OSX) at mid- and late-log phases highlighted genes in a polysaccharide utilization locus (PUL), hereafter called PUL 43, and genes in a fragmentary remnant of another PUL, hereafter referred to as rPUL 70, which were highly overexpressed on OSX relative to glucose. Proteomic analyses supported the up-regulation of several genes belonging to PUL 43 and showed the important over-production of a CBM4-containing GH10 endo-xylanase. We also show that PUL 43 is organized in two operons and that the knockout of the PUL 43 sensor/regulator HTCS gene blocked the growth of the mutant on insoluble OSX and soluble wheat arabinoxylan (WAX). The mutation not only repressed gene expression in the PUL 43 operons but also repressed gene expression in rPUL 70.

Conclusion

This study shows that xylan degradation by B. xylanisolvens XB1A^T is orchestrated by one PUL and one PUL remnant that are linked at the transcriptional level. Coupled to studies on other xylanolytic Bacteroides species, our data emphasize the importance of one peculiar CBM4-containing GH10 endo-xylanase in xylan breakdown and that this modular enzyme may be used as a functional marker of xylan degradation in the human gut. Our results also suggest that B. xylanisolvens XB1A^T has specialized in the degradation of xylans of low complexity. This functional feature may provide a niche to all xylanolytic bacteria harboring similar PULs. Further functional and ecological studies on fibrolytic Bacteroides species are needed to better understand their role in dietary fiber degradation and their impact on intestinal health.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-016-2680-8) contains supplementary material, which is available to authorized users.

In silico modelling of mass transfer & absorption in the human gut

An in silico model has been developed to investigate the digestion and absorption of starch and glucose in the small intestine. The main question we are aiming to address is the relative effect of gastric empting time and luminal viscosity on the rate of glucose absorption. The results indicate that all factors have a significant effect on the amount of glucose absorbed. For low luminal viscosities (e.g. lower than 0.1 Pas) the rate of absorption is controlled by the gastric emptying time. For viscosities higher than 0.1 Pas a 10 fold increase in viscosity can result in a 4 fold decrease of glucose absorbed. Our model, with the simplifications used to develop it, indicate that for high viscosity luminal phases, gastric emptying rate is not the controlling mechanism for nutrient availability. Developing a mechanistic model could help elucidate the rate limiting steps that control the digestion process.

Interpreting Prevotella and Bacteroides as biomarkers of diet and lifestyle

BACKGROUND

In a series of studies of the gut microbiome, "enterotypes" have been used to classify gut microbiome samples that cluster together in ordination analyses. Initially, three distinct enterotypes were described, although later studies reduced this to two clusters, one dominated by Bacteroides or Clostridiales species found more commonly in Western (American and Western European) subjects and the other dominated by Prevotella more often associated with non-Western subjects. The two taxa, Bacteroides and Prevotella, have been presumed to represent consistent underlying microbial communities, but no one has demonstrated the presence of additional microbial taxa across studies that can define these communities.

RESULTS

We analyzed the combined microbiome data from five previous studies with samples across five continents. We clearly demonstrate that there are no consistent bacterial taxa associated with either Bacteroides- or Prevotella-dominated communities across the studies. By increasing the number and diversity of samples, we found gradients of both Bacteroides and Prevotella and a lack of the distinct clusters in the principal coordinate plots originally proposed in the "enterotypes" hypothesis. The apparent segregation of the samples seen in many ordination plots is due to the differences in the samples' Prevotella and Bacteroides abundances and does not represent consistent microbial communities within the "enterotypes" and is not associated with other taxa across studies. The projections we see are consistent with a continuum of values created from a simple mixture of Bacteroides and Prevotella; these two biomarkers are significantly correlated to the projection axes. We suggest that previous findings citing Bacteroides- and Prevotella-dominated clusters are the result of an artifact caused by the greater relative abundance of these two taxa over other taxa in the human gut and the sparsity of Prevotella abundant samples.

CONCLUSIONS

We believe that the term "enterotypes" is misleading because it implies both an underlying consistency of community taxa and a clear separation of sets of human gut samples, neither of which is supported by the broader data. We propose the use of "biomarker" as a more accurate description of these and other taxa that correlate with diet, lifestyle, and disease state.

Gut microbiome and metabolic syndrome

The gut microbiome contributes approximately 2kg of the whole body weight, and recent studies suggest that gut microbiota has a profound effect on human metabolism, potentially contributing to several features of the metabolic syndrome. Metabolic syndrome is defined by a clustering of metabolic disorders that include central adiposity with visceral fat accumulation, dyslipidemia, insulin resistance, dysglycemia and non-optimal blood pressure levels. Metabolic syndrome is associated with an increased risk of cardiovascular diseases and type 2 diabetes. It is estimated that around 20-25 percent of the world's adult population has metabolic syndrome. In this manuscript, we have reviewed the existing data linking gut microbiome with metabolic syndrome. Existing evidence from studies both in animals and humans support a link between gut microbiome and various components of metabolic syndrome. Possible pathways include involvement with energy homeostasis and metabolic processes, modulation of inflammatory signaling pathways, interferences with the immune system, and interference with the renin-angiotensin system. Modification of gut microbiota via prebiotics, probiotics or other dietary interventions has provided evidence to support a possible beneficial effect of interventions targeting gut microbiota modulation to treat components or complications of metabolic syndrome.

Genome sequence of Oceanobacillus picturae strain S1, an halophilic bacterium first isolated in human gut

Oceanobacillus picturae is a strain of a moderately halophilic bacterium, first isolated from a mural painting. We demonstrate, for the first time, the culture of human Oceanobacillus picturae, strain S1(T), whose genome is described here, from a stool sample collected from a 25-year-old Saoudian healthy individual. We used a slightly modified standard culture medium adding 100 g/L of NaCl. We provide a short description of this strain including its MALDI-TOF spectrum, the main identification tool currently used in clinical microbiology. The 3,675,175 bp long genome exhibits a G + C content of 39.15 % and contains 3666 protein-coding and 157 RNA genes. The draft genome sequence of Oceanobacillus picturae has a similar size to the Oceanobacillus kimchii (respectively 3.67 Mb versus 3.83 Mb). The G + C content was higher compared with Oceanobacillus kimchii (respectively 39.15 % and 35.2 %). Oceanobacillus picturae shared almost identical number of genes (3823 genes versus 3879 genes), with a similar ratio of genes per Mb (1041 genes/Mb versus 1012 genes/Mb). The genome sequencing of Oceanobacillus picturae strain S1 isolated for the first time in a human, will be added to the 778 genome projects from the gastrointestinal tract listed by the international consortium Human Microbiome Project.

A human gut metaproteomic dataset from stool samples pretreated or not by differential centrifugation

We present a human gut metaproteomic dataset deposited in the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD001573. Ten aliquots of a single stool sample collected from a healthy human volunteer were either pretreated by differential centrifugation (DC; N=5) or not centrifuged (NC; N=5). Protein extracts were then processed by filter-aided sample preparation, single-run liquid chromatography and high-resolution mass spectrometry, and peptide identification was carried out using Sequest-HT as search engine within the Proteome Discoverer informatic platform. The dataset described here is also related to the research article entitled "Enrichment or depletion? The impact of stool pretreatment on metaproteomic characterization of the human gut microbiota" published in Proteomics (Tanca et al., 2015), [1].

Human gut microbiota: does diet matter?

The human oro-gastrointestinal (GI) tract is a complex system, consisting of oral cavity, pharynx, oesophagus, stomach, small intestine, large intestine, rectum and anus, which all together with the accessory digestive organs constitute the digestive system. The function of the digestive system is to break down dietary constituents into small molecules and then absorb these for subsequent distribution throughout the body. Besides digestion and carbohydrate metabolism, the indigenous microbiota has an important influence on host physiological, nutritional and immunological processes, and commensal bacteria are able to modulate the expression of host genes that regulate diverse and fundamental physiological functions. The main external factors that can affect the composition of the microbial community in generally healthy adults include major dietary changes and antibiotic therapy. Changes in some selected bacterial groups have been observed due to controlled changes to the normal diet e.g. high-protein diet, high-fat diet, prebiotics, probiotics and polyphenols. More specifically, changes in the type and quantity of non-digestible carbohydrates in the human diet influence both the metabolic products formed in the lower regions of the GI tract and the bacterial populations detected in faeces. The interactions between dietary factors, gut microbiota and host metabolism are increasingly demonstrated to be important for maintaining homeostasis and health. Therefore the aim of this review is to summarise the effect of diet, and especially dietary interventions, on the human gut microbiota. Furthermore, the most important confounding factors (methodologies used and intrinsic human factors) in relation to gut microbiota analyses are elucidated.