A large-scale genomically predicted protein mass database enables rapid and broad-spectrum identification of bacterial and archaeal isolates by mass spectrometry.

MALDI-TOF MS-based microbial identification relies on reference spectral libraries, which limits the screening of diverse isolates, including uncultured lineages. We present a new strategy for broad-spectrum identification of bacterial and archaeal isolates by MALDI-TOF MS using a large-scale database of protein masses predicted from nearly 200,000 publicly available genomes. We verify the ability of the database to identify microorganisms at the species level and below, achieving correct identification for > 90% of measured spectra. We further demonstrate its utility by identifying uncultured strains from mouse feces with metagenomics, allowing the identification of new strains by customizing the database with metagenome-assembled genomes.

Complete genome sequences of Ruminococcus torques strains JCM 36208 and JCM 36209, isolated from the feces of a healthy Japanese male.

Here, we report the complete genome sequences of two Ruminococcus torques strains (JCM 36208 and JCM 36209) that were newly isolated from the feces of a healthy Japanese male. Both genomes consist of a single circular chromosome with a length of ~2.8 Mbp and a G+C content of 41.8%.

Complete genome sequence of Butyricimonas faecihominis JCM 18676T.

We report a complete genome sequence of Butyricimonas faecihominis JCM 18676T, generated by nanopore sequencing. The genome consists of a single circular chromosome of 4,851,806 bp, with a G + C content of 42.9%, and was predicted to contain 15 rRNA and 61 tRNA genes and encode for 3,946 proteins.

Complete genome sequence of Blautia luti JCM 17040T.

We generated a complete genome sequence of the type strain of Blautia luti (JCM 17040T = DSM 14534T) by Nanopore sequencing. The genome consists of a circular chromosome of 3,741,599 bp with a G + C content of 42.9% and was predicted to contain 3,431 protein-coding sequences.

Elucidating colorectal cancer-associated bacteria through profiling of minimally perturbed tissue-associated microbiota.

Sequencing-based interrogation of gut microbiota is a valuable approach for detecting microbes associated with colorectal cancer (CRC); however, such studies are often confounded by the effect of bowel preparation. In this study, we evaluated the viability of identifying CRC-associated mucosal bacteria through centimeter-scale profiling of the microbiota in tumors and adjacent noncancerous tissue from eleven patients who underwent colonic resection without preoperative bowel preparation. High-throughput 16S rRNA gene sequencing revealed that differences between on- and off-tumor microbiota varied considerably among patients. For some patients, phylotypes affiliated with genera previously implicated in colorectal carcinogenesis, as well as genera with less well-understood roles in CRC, were enriched in tumor tissue, whereas for other patients, on- and off-tumor microbiota were very similar. Notably, the enrichment of phylotypes in tumor-associated mucosa was highly localized and no longer apparent even a few centimeters away from the tumor. Through short-term liquid culturing and metagenomics, we further generated more than one-hundred metagenome-assembled genomes, several representing bacteria that were enriched in on-tumor samples. This is one of the first studies to analyze largely unperturbed mucosal microbiota in tissue samples from the resected colons of unprepped CRC patients. Future studies with larger cohorts are expected to clarify the causes and consequences of the observed variability in the emergence of tumor-localized microbiota among patients.

Complete Genome Sequence of Coprobacter fastidiosus JCM 33896T.

We generated a complete genome sequence of Coprobacter fastidiosus JCM 33896T by nanopore sequencing. The genome consists of a single circular chromosome of 3,444,538 bp with a G+C content of 38.4%. Annotation predicted 15 rRNA genes, 67 tRNA genes and 2,662 protein-coding sequences.

Complete Genome Sequence of Anaerostipes hadrus JCM 17467T.

We report a complete genome sequence of Anaerostipes hadrus JCM 17467T. The genome consists of a circular chromosome of 2,804,089 bp, with a G+C content of 37.3%. The genome was predicted to contain 21 rRNA genes, 65 tRNA genes, and 2,675 protein-coding sequences.

Characterization and Demonstration of Mock Communities as Control Reagents for Accurate Human Microbiome Community Measurements.

Standardization and quality assurance of microbiome community analysis by high-throughput DNA sequencing require widely accessible and well-characterized reference materials. Here, we report on newly developed DNA and whole-cell mock communities to serve as control reagents for human gut microbiota measurements by shotgun metagenomics and 16S rRNA gene amplicon sequencing. The mock communities were formulated as near-even blends of up to 20 bacterial species prevalent in the human gut, span a wide range of genomic guanine-cytosine (GC) contents, and include multiple strains with Gram-positive type cell walls. Through a collaborative study, we carefully characterized the mock communities by shotgun metagenomics, using previously developed standardized protocols for DNA extraction and sequencing library construction. Further, we validated fitness of the mock communities for revealing technically meaningful differences among protocols for DNA extraction and metagenome/16S rRNA gene amplicon library construction. Finally, we used the mock communities to reveal varying performance of metagenome-based taxonomic profilers and the impact of trimming and filtering of sequencing reads on observed species profiles. The latter showed that aggressive preprocessing of reads may result in substantial GC-dependent bias and should thus be carefully evaluated to minimize unintended effects on species abundances. Taken together, the mock communities are expected to support a myriad of applications that rely on well-characterized control reagents, ranging from evaluation and optimization of methods to assessment of reproducibility in interlaboratory studies and routine quality control. IMPORTANCE Application of high-throughput DNA sequencing has greatly accelerated human microbiome research and its translation into new therapeutic and diagnostic capabilities. Microbiome community analyses results can, however, vary considerably across studies or laboratories, and establishment of measurement standards to improve accuracy and reproducibility has become a priority. The here-developed mock communities, which are available from the NITE Biological Resource Center (NBRC) at the National Institute of Technology and Evaluation (NITE, Japan), provide well-characterized control reagents that allow users to judge the accuracy of their measurement results. Widespread and consistent adoption of the mock communities will improve reproducibility and comparability of microbiome community analyses, thereby supporting and accelerating human microbiome research and development.

Multi-Omics Analysis to Generate Hypotheses for Mild Health Problems in Monkeys.

Certain symptoms associated with mild sickness and lethargy have not been categorized as definitive diseases. Confirming such symptoms in captive monkeys (Macaca fascicularis, known as cynomolgus monkeys) can be difficult; however, it is possible to observe and analyze their feces. In this study, we investigated the relationship between stool state and various omics data by considering objective and quantitative values of stool water content as a phenotype for analysis. By examining the food intake of the monkeys and assessing their stool, urine, and plasma, we attempted to obtain a comprehensive understanding of the health status of individual monkeys and correlate it with the stool condition. Our metabolomics data strongly suggested that many lipid-related metabolites were correlated with the stool water content. The lipidomic analysis revealed the involvement of saturated and oxidized fatty acids, metallomics revealed the contribution of selenium (a bio-essential trace element), and intestinal microbiota analysis revealed the association of several bacterial species with the stool water content. Based on our results, we hypothesize that the redox imbalance causes minor health problems. However, it is not possible to make a definite conclusion using multi-omics alone, and other hypotheses could be proposed.

Microdroplet-based system for culturing of environmental microorganisms using FNAP-sort.

Droplet microfluidics has emerged as a powerful technology for improving the culturing efficiency of environmental microorganisms. However, its widespread adoption has been limited due to considerable technical challenges, especially related to identification and manipulation of individual growth-positive droplets. Here, we combined microfluidic droplet technology with on-chip "fluorescent nucleic acid probe in droplets for bacterial sorting" (FNAP-sort) for recovery of growth-positive droplets and droplet microdispensing to establish an end-to-end workflow for isolation and culturing of environmental microbes. As a proof-of-concept, we demonstrate the ability of our technique to yield high-purity cultures of rare microorganisms from a representative complex environmental microbiome. As our system employs off-the-shelf commercially available equipment, we believe that it can be readily adopted by others and may thus find widespread use toward culturing the high proportion of as-of-yet uncultured microorganisms in different biomes.

Validation and standardization of DNA extraction and library construction methods for metagenomics-based human fecal microbiome measurements.

BACKGROUND: Validation and standardization of methodologies for microbial community measurements by high-throughput sequencing are needed to support human microbiome research and its industrialization. This study set out to establish standards-based solutions to improve the accuracy and reproducibility of metagenomics-based microbiome profiling of human fecal samples. RESULTS: In the first phase, we performed a head-to-head comparison of a wide range of protocols for DNA extraction and sequencing library construction using defined mock communities, to identify performant protocols and pinpoint sources of inaccuracy in quantification. In the second phase, we validated performant protocols with respect to their variability of measurement results within a single laboratory (that is, intermediate precision) as well as interlaboratory transferability and reproducibility through an industry-based collaborative study. We further ascertained the performance of our recommended protocols in the context of a community-wide interlaboratory study (that is, the MOSAIC Standards Challenge). Finally, we defined performance metrics to provide best practice guidance for improving measurement consistency across methods and laboratories. CONCLUSIONS: The validated protocols and methodological guidance for DNA extraction and library construction provided in this study expand current best practices for metagenomic analyses of human fecal microbiota. Uptake of our protocols and guidelines will improve the accuracy and comparability of metagenomics-based studies of the human microbiome, thereby facilitating development and commercialization of human microbiome-based products. Video Abstract.

Complete Genome Sequence of Flavonifractor plautii JCM 32125T.

We report the complete genome sequence of Flavonifractor plautii JCM 32125T (=VPI 0310T). The genome consists of a single circular chromosome of 3,985,392 bp (G+C content, 60.9%) and was predicted to contain 3 complete sets of rRNA genes, 63 tRNA genes, and 3,764 protein-coding sequences.

Complete Genome Sequence of Blautia producta JCM 1471T.

We report a complete genome sequence of Blautia producta JCM 1471T The genome consists of a single circular chromosome of 6,197,116 bp with a G+C content of 45.7%. The genome was annotated as containing 5 complete sets of rRNA genes, 70 tRNA genes, and 5,516 protein-coding sequences.

Complete Genome Sequence of Collinsella aerofaciens JCM 10188T.

We report a complete genome sequence of Collinsella aerofaciens JCM 10188T (=VPI 1003T). The genome consists of a circular chromosome (2,428,218 bp with 60.6% G+C content) and two extrachromosomal elements. The genome was predicted to contain 5 sets of rRNA genes, 58 tRNA genes, and 2,079 protein-encoding sequences.

Complete Genome Sequence of Megamonas funiformis JCM 14723T.

We announce the complete genome sequence of Megamonas funiformis JCM 14723T (YIT 11815T). The genome consists of a circular chromosome (2,522,577 bp, 31.5% G+C content) and a plasmid of 46,189 bp (29.4% G+C content). The genome was predicted to contain 6 rRNA operons, 53 tRNA genes, and 2,440 protein-coding sequences.

Sample tracking in microbiome community profiling assays using synthetic 16S rRNA gene spike-in controls.

Workflows for microbiome community profiling by high-throughput sequencing are prone to sample mix-ups and cross-contamination due to the complexity of the procedures and large number of samples typically analyzed in parallel. We employed synthetic 16S rRNA gene spike-in controls to establish a method for tracking of sample identity and detection of cross-contamination in microbiome community profiling assays based on 16S rRNA gene amplicon sequencing (16S-seq). Results demonstrated that combinatorial sample tracking mixes (STMs) can be reliably resolved by Illumina sequencing and faithfully represent their sample of origin. In a single-blinded experiment, addition of STMs at low levels was shown to be sufficient to unambiguously identify and resolve swapped samples. Using artificial admixtures of individually SMT-tagged samples, we further established the ability to detect and quantify cross-contamination down to a level of approximately 1%. The utility of our technique was underscored through detection of an unplanned case of cross-contamination that occurred during this study. By enabling detection of sample mix-ups and cross-contamination throughout 16S-seq workflows, the present technique thus assures provenance of sequence data on a per-sample basis. The method can be readily implemented in standard 16S-seq workflows and its routine application is expected to enhance the reliability of 16S-seq data.

Draft Genome Sequence of Paludibacter jiangxiensis NM7T, a Propionate-Producing Fermentative Bacterium.

We report here a high-quality draft genome sequence of Paludibacter jiangxiensis strain NM7T, a mesophilic, anaerobic, propionate-producing fermentative bacterium within the family Porphyromonadaceae of the phylum Bacteroidetes The genome comprises 3,664,884 bp in four contigs, has a G+C content of 42.92%, and contains 2,949 protein-coding sequences and 62 RNAs.

Draft Genome Sequence of Terrimicrobium sacchariphilum NM-5T, a Facultative Anaerobic Soil Bacterium of the Class Spartobacteria.

We report here a high-quality draft genome sequence of Terrimicrobium sacchariphilum strain NM-5T, a facultative anaerobic, mesophilic, fermentative bacterium belonging to the class Spartobacteria of the phylum Verrucomicrobia The genome comprises 4,751,807 bp in three contigs and has a G+C content of 60.19%. Annotation predicted 4,175 protein-coding sequences and 54 RNAs.

Diagnostic microarray for 14 water and foodborne pathogens using a flatbed scanner.

Parallel detection approaches are of interest to many researchers interested in identifying multiple water and foodborne pathogens simultaneously. Availability and cost-effectiveness are two key factors determining the usefulness of such approaches for laboratories with limited resources. In this study, we developed and validated a high-density microarray for simultaneous screening of 14 bacterial pathogens using an approach that employs gold labeling with silver enhancement (GLS) protocol. In total, 8887 probes (50-mer) were designed using an in-house database of virulence and marker genes (VMGs), and synthesized in quadruplicate on glass slides using an in-situ synthesis technology. Target VMG amplicons were obtained using multiplex polymerase chain reaction (PCR), labeled with biotin, and hybridized to the microarray. The signals generated after gold deposition and silver enhancement, were quantified using a flatbed scanner having 2-µm resolution. Data analysis indicated that reliable presence/absence calls could be made, if: i) over four probes were used per gene, ii) the signal-to-noise ratio (SNR) cutoff was greater than or equal to two, and iii) the positive fraction (PF), i.e., number of probes with SNR≥2 for a given VMG was greater than 0.75. Hybridization of the array with blind samples resulted in 100% correct calls, and no false positive. Because amplicons were obtained by multiplex PCR, sensitivity of this method is similar to PCR. This assay is an inexpensive and reliable technique for high throughput screening of multiple pathogens.

Synthetic spike-in standards for high-throughput 16S rRNA gene amplicon sequencing.

High-throughput sequencing of 16S rRNA gene amplicons (16S-seq) has become a widely deployed method for profiling complex microbial communities but technical pitfalls related to data reliability and quantification remain to be fully addressed. In this work, we have developed and implemented a set of synthetic 16S rRNA genes to serve as universal spike-in standards for 16S-seq experiments. The spike-ins represent full-length 16S rRNA genes containing artificial variable regions with negligible identity to known nucleotide sequences, permitting unambiguous identification of spike-in sequences in 16S-seq read data from any microbiome sample. Using defined mock communities and environmental microbiota, we characterized the performance of the spike-in standards and demonstrated their utility for evaluating data quality on a per-sample basis. Further, we showed that staggered spike-in mixtures added at the point of DNA extraction enable concurrent estimation of absolute microbial abundances suitable for comparative analysis. Results also underscored that template-specific Illumina sequencing artifacts may lead to biases in the perceived abundance of certain taxa. Taken together, the spike-in standards represent a novel bioanalytical tool that can substantially improve 16S-seq-based microbiome studies by enabling comprehensive quality control along with absolute quantification.