High-throughput amplicon sequencing of the full-length 16S rRNA gene with single-nucleotide resolution

Machine-learning assisted discovery unveils novel interplay between gut microbiota and host metabolic disturbance in diabetic kidney disease

Diabetic kidney disease (DKD) is a serious healthcare dilemma. Nonetheless, the interplay between the functional capacity of gut microbiota and their host remains elusive for DKD. This study aims to elucidate the functional capability of gut microbiota to affect kidney function of DKD patients. A total of 990 subjects were enrolled consisting of a control group (n = 455), a type 2 diabetes mellitus group (DM, n = 204), a DKD group (n = 182) and a chronic kidney disease group (CKD, n = 149). Full-length sequencing of 16S rRNA genes from stool DNA was conducted. Three findings are pinpointed. Firstly, new types of microbiota biomarkers have been created using a machine-learning (ML) method, namely relative abundance of a microbe, presence or absence of a microbe, and the hierarchy ratio between two different taxonomies. Four different panels of features were selected to be analyzed: (i) DM vs. Control, (ii) DKD vs. DM, (iii) DKD vs. CKD, and (iv) CKD vs. Control. These had accuracy rates between 0.72 and 0.78 and areas under curve between 0.79 and 0.86. Secondly, 13 gut microbiota biomarkers, which are strongly correlated with anthropometric, metabolic and/or renal indexes, concomitantly identified by the ML algorithm and the differential abundance method were highly discriminatory. Finally, the predicted functional capability of a DKD-specific biomarker, Gemmiger spp. is enriched in carbohydrate metabolism and branched-chain amino acid (BCAA) biosynthesis. Coincidentally, the circulating levels of various BCAAs (L-valine, L-leucine and L-isoleucine) and their precursor, L-glutamate, are significantly increased in DM and DKD patients, which suggests that, when hyperglycemia is present, there has been alterations in various interconnected pathways associated with glycolysis, pyruvate fermentation and BCAA biosynthesis. Our findings demonstrate that there is a link involving the gut-kidney axis in DKD patients. Furthermore, our findings highlight specific gut bacteria that can acts as useful biomarkers; these could have mechanistic and diagnostic implications.

Building plumbing influences the microdiversity and community assembly of the drinking water microbiome

Building plumbing microbial communities can significantly influence water quality at the point of use, particularly during periods of stagnation. Thus, a fine-scale understanding of factors governing community membership and structure, as well as environmental and ecological factors shaping building plumbing microbial communities is critical. In this study, we utilized full-length 16S ribosomal RNA (rRNA) gene sequencing to investigate the microdiversity and spatial-temporal dynamics of microbial communities in institutional and residential building plumbing systems. Bacterial operational taxonomic units (OTUs) within institutional buildings exhibited much lower microdiversity relative to the same OTUs in residential buildings. Higher microdiversity was associated with higher persistence and relative abundance of OTUs. Interestingly, amplicon sequencing variants within the same OTUs exhibited habitat preferences based on the building type while also demonstrating varying temporal turnover patterns. Dispersal limitation disproportionately governed community assembly in institutional buildings, whereas heterogeneous selection was the dominant ecological mechanism shaping the microbial community in residential buildings. Dispersal limitation in institutional buildings is consistent with larger building sizes and greater periods of water stagnation. Interestingly, the inability to explain the extent of heterogeneous selection-driven community assembly in residential locations using measured water chemistry may suggest a disproportionately large effect of fine-scale variation in plumbing characteristics on community assembly in residential locations.

Regulatory effects of lactic acid bacteria co-fermented Dendrocalamus latiflorus shoots on lipid-lowering functions and the gut microbiota in HFD-fed mice

This study employed Lactobacillus plantarum R1 and Lactobacillus brevis R2 to ferment Dendrocalamus latiflorus shoots, significantly enhancing γ-aminobutyric acid (GABA) content to 365.86 mg kg-1, representing a 3.86-fold increase compared to natural fermentation. Using fermented D. latiflorus shoots rich in GABA for intervention in HFD-induced obese mice, it was found that natural fermentation and inoculated fermentation reduced weight gain. Both treatments lowered serum TG, T-CHO, and LDL-C levels, reduced hepatic lipid accumulation and oxidative stress, and decreased liver IL-1β and TNF-α levels. Notably, inoculated fermentation had a more pronounced fat-reducing effect. In addition, fermented D. latiflorus shoots rich in GABA improved the diversity and abundance of the gut microbiota in mice and particularly increased the abundances of Bacteroides and Verrucomicrobia and reduced those of Firmicutes and Deferribacteres, thereby alleviating gut microbiota disorders in HFD-fed mice. These results indicated that probiotic fermentation significantly increased the GABA content in fermented D. latiflorus shoots, and the fermented D. latiflorus shoots rich in GABA played a role in lowering lipid levels and alleviating gut microbiota disorders in HFD-fed mice. This study provides a foundation for the comprehensive utilization and sustainable development of bamboo shoot resources.

Oral microbiota signature predicts the prognosis of colorectal carcinoma

Emerging evidence links oral-derived gut microbes to colorectal cancer (CRC) development, but CRC prognosis-related microbial alterations in oral remain underexplored. In a retrospective study of 312 CRC patients, we examined the oral microbiota using 16S rRNA gene full-length amplicon sequencing to identify prognostic microbial biomarkers for CRC. Neisseria oralis and Campylobacter gracilis increased CRC progression risk (HR = 2.63 with P = 0.007, HR = 2.27 with P = 0.001, respectively), while Treponema medium showed protective effects (HR = 0.41, P = 0.0002). A microbial risk score (MRS) incorporating these species effectively predicted CRC progression risk (C-index = 0.68, 95% CI = 0.61-0.76). When compared to a model constructed solely from clinical factors, including tumor stage, lymphatic metastasis, and perineural invasion, the predictive accuracy significantly improved with the addition of the MRS, resulting in a C-index rising to 0.77 (P = 2.33 × 10-5). Our findings suggest that oral microbiota biomarkers may contribute to personalized CRC monitoring strategies, their implementation in clinical surveillance necessitates confirmatory studies.

Bamboozle: A Bioinformatic Tool for Identification and Quantification of Intraspecific Barcodes

Evolutionary changes in populations of microbes, such as microalgae, cannot be traced using conventional metabarcoding loci as they lack intraspecific resolution. Consequently, selection and competition processes among strains of the same species cannot be resolved without elaborate isolation, culturing, and genotyping efforts. Bamboozle, a new bioinformatic tool introduced here, scans the entire genome of a species and identifies allele-rich barcodes that enable direct identification of different genetic strains from a population using amplicon sequencing of a single DNA sample. We demonstrate its usefulness by identifying hypervariable barcoding loci (< 500 bp) from genomic data in two microalgal species, the diploid diatom Skeletonema marinoi and the haploid chlorophyte Chlamydomonas reinhardtii. Across the two genomes, four and twenty-two loci, respectively, were identified that could in silico resolve all analysed genotypes. All of the identified loci are within protein-coding genes with various metabolic functions. Single nucleotide polymorphisms (SNPs) provided the most reliable genetic markers, and among 54 strains of S. marinoi, three 500 bp loci contained, on average, 46 SNPs, 103 strain-specific alleles, and displayed 100% heterozygosity. This high level of heterozygosity was identified as a novel opportunity to improve strain quantification and detect false positive artefacts during denoising of amplicon sequences. Finally, we illustrate how metabarcoding of a single genetic locus can be used to track abundances of S. marinoi strains in an artificial selection experiment. As future genomic datasets become available and DNA sequencing technologies develop, Bamboozle has flexible user settings enabling optimal barcodes to be designed for other species and applications.

Do we need a standardized 16S rRNA gene amplicon sequencing analysis protocol for poultry microbiota research?

Bacteria are the major component of poultry gastrointestinal tract (GIT) microbiota and play an important role in host health, nutrition, physiology regulation, intestinal development, and growth. Bacterial community profiling based on the 16S ribosomal RNA (rRNA) gene amplicon sequencing approach has become the most popular method to determine the taxonomic composition and diversity of the poultry microbiota. The 16S rRNA gene profiling involves numerous steps, including sample collection and storage, DNA isolation, 16S rRNA gene primer selection, Polymerase Chain Reaction (PCR), library preparation, sequencing, raw sequencing reads processing, taxonomic classification, α- and β-diversity calculations, and statistical analysis. However, there is currently no standardized protocol for 16S rRNA gene analysis profiling and data deposition for poultry microbiota studies. Variations in DNA storage and isolation, primer design, and library preparation are known to introduce biases, affecting community structure and microbial population analysis leading to over- or under-representation of individual bacteria within communities. Additionally, different sequencing platforms, bioinformatics pipeline, and taxonomic database selection can affect classification and determination of the microbial taxa. Moreover, detailed experimental design and DNA processing and sequencing methods are often inadequately reported in poultry 16S rRNA gene sequencing studies. Consequently, poultry microbiota results are often difficult to reproduce and compare across studies. This manuscript reviews current practices in profiling poultry microbiota using 16S rRNA gene amplicon sequencing and proposes the development of guidelines for protocol for 16S rRNA gene sequencing that spans from sample collection through data deposition to achieve more reliable data comparisons across studies and allow for comparisons and/or interpretations of poultry studies conducted worldwide.

Evaluation of long-read 16S rRNA next-generation sequencing for identification of bacterial isolates in a clinical diagnostic laboratory

Sanger sequencing of the first ~500 bp of the 16S rRNA gene is frequently used to identify bacterial pathogens that have ambiguous biochemical profiles or proteomic mass spectra. When diversity does not occur within that region, genus-level and/or species-level identification may not be possible, and a longer sequence or alternative target may be required to distinguish between genera/species. In this study, we evaluated a clinically relevant end-to-end solution for long-read (~1,500 nt) 16S rRNA next-generation sequencing by Oxford Nanopore Technologies (ONT) compared to a ~500 nt Sanger sequencing approach for the identification of 153 bacterial clinical isolates. Sequencing data were analyzed using the IDNS software from SmartGene and its proprietary 16S Centroid reference database (Centroid database) SmartGene software and the Centroid database. The agreement of the two platforms on species- and genus-level identification was determined, and discrepancies were resolved by whole-genome sequencing. ONT had a higher taxonomic resolution at the genus level (P < 0.01). When genus-level identification was achieved by both methods, concordance to the best matching genus was 100%. When species-level identification was achieved by both methods, concordance to the best matching species was 91%. The costs per test were ~$25.30 (when multiplexing 24 samples/run) and $74 for ONT and Sanger sequencing, respectively. The hands-on time spent performing sequencing was similar for both methods, but the turnaround time of ONT was significantly shorter than that of Sanger sequencing.IMPORTANCEThis study adds to existing literature by describing a validated end-to-end solution of 16S rRNA gene Oxford Nanopore sequencing for bacterial isolate identification, including sequencing run time evaluation, automated analysis (SmartGene 16S Identification App) and interpretation of results, that can be incorporated into clinical and public health laboratories with a simple and cost-effective workflow.

Full-length 16S rRNA-based exploration of body site-specific bacterial signatures for origin determination and individual identification

When the available human-derived information at a crime scene is limited, it poses challenges in determining the origin of the biological materials and identifying their donors. In this context, microorganisms have gradually emerged as a valuable complementary tool. Nowadays, the application of third-generation sequencing technology for full-length 16S rRNA sequencing to explore the specific bacterial biomarkers in various biological materials holds significant research and practical value. In this study, we performed full-length 16S rRNA gene sequencing on sterile swabs from palmar skin, oral mucosa, and nasal cavity using the PacBio single-molecule real-time sequencing (SMRT) platform. Alongside identifying specific bacterial biomarkers for these biological materials from different body sites, the study also preliminarily explored the specific bacterial taxa in 19 individuals at the phylum, genus, and species levels. The results showed that the palmar skin bacteria primarily consist of Cutibacterium, Staphylococcus, and Streptococcus, the oral mucosal bacteria are dominated by Streptococcus, Neisseria, and Haemophilus, while the dominant bacteria in nasal cavity are Staphylococcus and Cutibacterium. Beta diversity analysis revealed significant differences in the bacterial community composition across the three origins of biological materials. Furthermore, classification models based on the bacterial species were constructed using the Random Forest, XGBoost, and KNN algorithms. The results showed that both Random Forest and XGBoost models achieved an accuracy of 97 %, significantly outperforming the KNN model (79 %). The prediction accuracy at the OTU level was comparable to that at the species level. In addition, bacterial community differences between individuals were observed at both the genus and species levels. Overall, this study further explores the potential of classification prediction methods based on bacterial features for distinguishing the body site origins of different biological materials and enabling individual traceability, thereby providing valuable data to support the application of microbiological techniques in forensic practice.

Zero inflated high dimensional compositional data with DeepInsight

Through the Human Microbiome Project, research on human-associated microbiomes has been conducted in various fields. New sequencing techniques such as Next Generation Sequencing (NGS) and High-Throughput Sequencing (HTS) have enabled the inclusion of a wide range of features of the microbiome. These advancements have also contributed to the development of numerical proxies like Operational Taxonomic Units (OTUs) and Amplicon Sequence Variants (ASVs). Studies involving such microbiome data often encounter zero-inflated and high-dimensional problems. Based on the need to address these two issues and the recent emphasis on compositional interpretation of microbiome data, we conducted our research. To solve the zero-inflated problem in compositional microbiome data, we transformed the data onto the surface of the hypersphere using a square root transformation. Then, to solve the high-dimensional problem, we modified DeepInsight, an image-generating method using Convolutional Neural Networks (CNNs), to fit the hypersphere space. Furthermore, to resolve the common issue of distinguishing between true zero values and fake zero values in zero-inflated images, we added a small value to the true zero values. We validated our approach using pediatric inflammatory bowel disease (IBD) fecal sample data and achieved an area under the curve (AUC) value of 0.847, which is higher than the previous study's result of 0.83.

A long-read sequencing approach to high-resolution profiling of bacterioplankton diversity in a shallow freshwater lake

Lake Balaton, a large shallow freshwater lake in Hungary, exhibits diverse bacterioplankton communities influenced by various environmental factors. This study aims to evaluate the bacterial diversity in Lake Balaton using the long-read approach to 16 S rRNA gene sequencing. Water samples were collected from a wide network of 33 locations across the lake's four basins and analyzed for bacterial community composition. Sequencing results revealed a high taxonomic diversity with significant zonal variations. Dominant families included Comamonadaceae, Burkholderiaceae, and Methylophilaceae. Environmental parameters such as temperature, pH, and CDOM were found to significantly correlate with bacterial abundance and diversity. The study underscores the utility and portability of using the long-read sequencing technology in assessing microbial diversity and provides insights into the ecological dynamics of bacterioplankton in freshwater lakes.

MultiSeq-AMR: a modular amplicon-sequencing workflow for rapid detection of bloodstream infection and antimicrobial resistance markers

Bloodstream infections (BSIs) represent a significant global health challenge, and traditional diagnostic methods are suboptimal for timely guiding targeted antibiotic therapy. We introduce MultiSeq-AMR, a rapid and modular nanopore amplicon-sequencing workflow to identify bacterial and fungal species and a comprehensive set of antimicrobial resistance (AMR) genes (n=91) from various types of infection sources. We initially benchmarked MultiSeq-AMR using DNA from 16 bacterial and 5 fungal reference strains and accurately identified all species. AMR gene identification exhibited 99.4% categorical agreement (CA: 153/154 prediction) with whole-genome sequencing. Further validation with 33 BACT/ALERT positive samples from suspected BSI cases revealed 100% accuracy for genus and 96.7% for species identification, with 97.4% CA (151/155) for AMR gene prediction. To accelerate microbiological diagnosis, a 6 h culture enrichment step was tested with MultiSeq-AMR using 15 clinically important bacterial species. Of 13 species selected for sequencing, 11 were correctly identified, with 96% CA (59/61 predictions) for AMR gene identification. With only 2 Mbp yield, sequencing identified 93.7% of species and 89.8% AMR genes initially detected with 20-50 Mbp yield/sample. MultiSeq-AMR holds promise for BSI diagnosis, as species/AMR genes could be identified under 5 h of BACT/ALERT positivity and potentially <11 h of sample collection (rapid-enrichment) for a large set of bacterial species. MultiSeq-AMR gene targets can be modified/increased indefinitely to suit user needs. Further research is required to clinically validate MultiSeq-AMR, especially the rapid enrichment method, to assess its utility in a medical setup and in improving patient outcomes in BSI.

Long-read metagenomics gives a more accurate insight into the microbiota of long-ripened gouda cheeses

Metagenomic studies of the Gouda cheese microbiota and starter cultures are scarce. During the present study, short-read metagenomic sequencing (Illumina) was applied on 89 Gouda cheese and processed milk samples, which have been investigated before concerning their metabolite and taxonomic composition, the latter applying amplicon-based, high-throughput sequencing (HTS) of the full-length 16S rRNA gene. Selected samples were additionally investigated using long-read metagenomic sequencing (Oxford Nanopore Technologies, ONT). Whereas the species identified by amplicon-based HTS and metagenomic sequencing were identical, the relative abundances of the major species differed significantly. Lactococcus cremoris was more abundant in the metagenomics-based taxonomic analysis compared to the amplicon-based one, whereas the opposite was true for the non-starter lactic acid bacteria (NSLAB). This discrepancy was related to a higher fragmentation of the lactococcal DNA compared with the DNA of other species when applying ONT. Possibly, a higher fragmentation was linked with a higher percentage of dead or metabolically inactive cells, suggesting that full-length 16S rRNA gene amplicon-based HTS might give a more accurate view on active cells. Further, fungi were not abundantly present in the Gouda cheeses examined, whereas about 2% of the metagenomic sequence reads was related to phages, with higher relative abundances in the cheese rinds and long-ripened cheeses. Intraspecies differences found by short-read metagenomic sequencing were in agreement with the amplicon sequence variants obtained previously, confirming the ability of full-length 16S rRNA gene amplicon-based HTS to reach a taxonomic assignment below species level. Metagenome-assembled genomes (MAGs) were retrieved for 15 species, among which the starter cultures Lc. cremoris and Lactococcus lactis and the NSLAB Lacticaseibacillus paracasei, Loigolactobacillus rennini, and Tetragenococcus halophilus, although obtaining MAGs from Lc. cremoris and Lc. lactis was more challenging because of a high intraspecies diversity and high similarity between these species. Long-read metagenomic sequencing could not improve the retrieval of lactococcal MAGs, but, overall, MAGs obtained by long-read metagenomic sequencing solely were superior compared with those obtained by short-read metagenomic sequencing solely, reaching a high-quality draft status of the genomes.

Clade-specific extracellular vesicles from Akkermansia muciniphila mediate competitive colonization via direct inhibition and immune stimulation

Akkermansia muciniphila, a promising candidate for next-generation probiotics, exhibits significant genomic diversity, classified into several distinct clades (AmI to AmIV). Notably, a single Akkermansia clade tends to predominate within individual hosts, with co-occurrence of different clades being rare. The mechanisms driving such clade-specific exclusion remain unclear. Here, we show that extracellular vesicles (EVs) derived from AmII clade inhibit the growth of clade I (AmI), conferring a competitive advantage to AmII. Moreover, we observe clade-specific immunoglobulin A (IgA) responses, where AmII clade-specific IgAs, induced by EVs from AmII, facilitate niche occupancy and competitive exclusion of AmI. These findings provide insights into the competitive dynamics of A. muciniphila clades and suggest that future personalized microbiome interventions could be optimized by considering the clade composition of A. muciniphila in individual hosts.

Short-read next-generation sequencing of 16s rRNA gene amplicons for characterizing amplicon sequence variants (ASVs) and determination of gene copy numbers using ion Torrent platform

The short-amplicon sequencing of hypervariable regions of 16S rRNA gene is the widely used method for bacterial identification and microbiota profiling. Bacteria possess multiple copies of 16S rRNA gene and may contain single nucleotide variations (SNPs) or amplicon sequence variants (ASVs). The ASVs based determination of microbial taxa can be better representation over operational taxonomic units (OTUs). Illumina based NGS platforms are mostly used to define the ASVs whereas Ion-torrent platform is commonly used for diagnostic purposes. We aimed to identify bacterial isolates having ASVs and infer the copy numbers of16S rRNA gene using short read sequencing performed on the Ion Gene Studio S5 NGS platform. The V2-V3 regions of 16S rRNA gene were amplified from the bacterial isolates and subjected to NGS. Further, the sequences produced by NGS were compared with those generated from Sanger sequencing. The bacterial isolates were identified and characterize during ASVs. The copy number of the 16S rRNA gene was established in Gram-negative isolates. Assigning bacterial taxa based on ASVs would provide a more accurate representation of the variant data.

Comparative analysis of the microbial composition of three packaged sliced dry-cured hams from a Chinese market

Ham, a widely consumed and culturally significant food, undergoes fermentation and aging processes that contribute to its distinctive flavor and texture. These processes are influenced by a complex interplay of microbial communities, which vary by the production region. Understanding these microbial dynamics can provide insights into flavor development and quality improvements in ham. In this study, the microbial communities found in ham produced in three distinct regions were compared, revealing that bacteria have a more dominant role in shaping the overall microbiota than fungi. Notably, each type of ham exhibited a unique microbial profile, although those from similar regions shared more similar profiles. Specific bacterial biomarkers were identified for each regional ham: Lactobacillus and Tetragonococcus in Serrano prosciutto, Odoribacter, Alistipes, Staphylococcus, and Akkermansia in Jinhua prosciutto, and Pseudomonas, Blautia, and Bacteroides in Xuanwei prosciutto. The microbial network analysis identified closer associations between microorganisms in the domestically produced Chinese hams than in the Spanish ham, suggesting limited foreign microbial invasions that contributed to a richer, more stable flavor. These findings offer new insights into how microbial interactions shape the development of flavor and quality in ham and clarify future strategies for improving the production process by leveraging microbial communities.

Microbial Community Metabolism of Coral Reef Exometabolomes Broadens the Chemodiversity of Labile Dissolved Organic Matter

Dissolved organic matter (DOM) comprises diverse compounds with variable bioavailability across aquatic ecosystems. The sources and quantities of DOM can influence microbial growth and community structure with effects on biogeochemical processes. To investigate the chemodiversity of labile DOM in tropical reef waters, we tracked microbial utilisation of over 3000 untargeted mass spectrometry ion features exuded from two coral and three algal species. Roughly half of these features clustered into over 500 biologically labile spectral subnetworks annotated to diverse structural superclasses, including benzenoids, lipids, organic acids, heterocyclics and phenylpropanoids, comprising on average one-third of the ion richness and abundance within each chemical class. Distinct subsets of these labile compounds were exuded by algae and corals during the day and night, driving differential microbial growth and substrate utilisation. This study expands the chemical diversity of labile marine DOM with implications for carbon cycling in coastal environments.

Sampling techniques and genomic analysis of biological material from artworks

The genomic analysis of biological material from artworks can be used to guide curation, preservation, and restoration. Additionally, human DNA recovered from artworks may provide other insights. However, the recovery of biological samples from artworks is dependent on the sampling technique used and the media from which the biological materials are recovered. The ideal sampling method should be noninvasive, yet robust. We studied five artworks on paper and compared three sampling methods, each with increasing degrees of invasiveness. Minimally invasive swabbing techniques collect samples from the surface, whereas more aggressive techniques such as wet vacuuming were expected to yield more biological material from within the support media and more likely to produce authentic DNA from the artwork. We report a comparison of collection techniques to generate microbial DNA sequence data, the conserved human gene RNase P, and Y-STRs from artworks on paper. We observed that wet vacuuming resulted in higher DNA recovery than double swabbing and core punches. Diverse microbial populations existed on the corners and centers of the five artworks studied, but the distribution of the total biomass was relatively even across the surfaces of the works sampled. Studies of peripheral regions, where sampling is less likely to cause alterations to the artwork, could thus yield useful results in microbiome and human DNA studies. These results provide a framework for sampling artworks on paper to obtain biological material. The methods described may provide microbiome identification to facilitate restoration and preservation, and might also contribute to the determination of provenance.

Alterations in Gut Microbiome-Host Relationships After Immune Perturbation in Patients With Multiple Sclerosis

BACKGROUND AND OBJECTIVES

Gut microbial symbionts have been shown to influence the development of autoimmunity in multiple sclerosis (MS). Emerging research points to an important relationship between the microbial-IgA interface and MS pathophysiology. IgA-secreting B cells are observed in the MS brain, and shifts in gut bacteria-IgA binding have been described in some patients with MS. However, the relationships between the gut microbiome and the host immune response, particularly regarding B-cell-depleting immunomodulation, remain underexplored. This study aimed to evaluate the composition of the gut microbiome in patients with newly diagnosed MS at baseline and after B-cell depletion, using long-read sequencing for enhanced taxonomic resolution. We further aimed to investigate the host/microbiome interface by evaluating microbe/immunoglobulin A relationships.

METHODS

We collected stool samples from 43 patients with newly diagnosed, untreated MS and 42 matched healthy controls. Nineteen patients with MS initiated anti-CD20 monoclonal antibody treatment and donated additional stool samples after 6 months of treatment. We evaluated the host-microbial interface using bacterial flow cytometry and long-read 16S rRNA gene amplicon sequencing. We used Immune Coating Scores to compare the proportions of bacteria identified in the IgA-coated vs IgA-uncoated bacterial fractions.

RESULTS

Patients with untreated, newly diagnosed MS showed significant reductions in IgA-bound fecal microbiota compared with controls. Using multiple linear regression models adjusted for potential confounders, we observed significant (p < 0.05) changes in the abundance and prevalence of various strain-level gut bacteria amplicon sequence variants (ASVs) within both total and IgA-coated bacterial fractions. Some changes (e.g., decreased relative abundance of a Faecalibacterium prausnitzii variant in MS) were consistent with previous reports, while others (e.g., increased relative abundance and prevalence of Monoglobus pectinyliticus in MS) were novel. Immune Coating Scores identified subsets of organisms for which normal IgA-coating patterns were disrupted at the onset of MS, as well as those (particularly Akkermansia muciniphila) whose IgA-coating became more aligned with controls after therapy.

DISCUSSION

This analysis of gut microbial ASVs reveals shifts in taxonomic strains induced by immune modulation in MS.

Potential effects of indoor microbiome characteristics on health: A systematic review

OBJECTIVES

This systematic review aims to assess the potential effects of exposure to microbial agents in the indoor environment on health outcomes.

STUDY DESIGN

Systematic review.

METHODS

A systematic literature search was conducted on Embase, PubMed, and Web of Science through January 2024, and reference lists of relevant articles were reviewed. Studies that investigated the relationship between indoor microbial agents and human symptoms and diseases were eligible for inclusion.

RESULTS

In total, 20 articles were considered eligible for inclusion and reported consistency and variability in the health effects of indoor microorganisms. In microbial diversity analyses, studies showed an increasing trend in microbial α-diversity in patients with allergic and inflammatory diseases and a decreasing trend in fungal α-diversity in patients with behavioral and cognitive disorders. In microbial composition analyses, phylum Cyanobacteria, genus Izhakiella, genus Rhodomicrobiu, species Aeromonas enteropelogenes, and species Brasilonema bromeliae showed a decreasing trend in allergic and inflammatory diseases, while phylum Actinomycetota, phylum Bacillota, phylum Bacteriodota, class Gammaproteobacteria and species Deinococcus gobiensis showed an increasing trend. There were fewer consistent results for respiratory infectious diseases and behavioral and cognitive disorders.

CONCLUSION

To our knowledge, this is the first systematic review of the association between indoor microbial exposure and human health risk. In this systematic review, we explored the potential impact of microbiota characterization of indoor environments on different diseases or symptoms from the perspective of microbial taxonomic levels through a comprehensive review of differential analysis of indoor microbiota diversity and composition, which provided potential intervention strategies for the management of the indoor microbiome.

A thallus-forming N-fixing fungus-cyanobacterium symbiosis from subtropical forests

Fungi engage in diverse symbiotic relationships with phototrophs. Lichens, symbiotic complexes involving fungi and either cyanobacteria, green algae, or both, have fungi forming the external layer and much of the interior. We found an erect thallus resembling a lichen yet with an unexpected thallus structure composed of interwoven cyanobacterial filaments with numerous fungal hyphae inserted within individual cyanobacterial sheaths, contrasting with typical lichen structure. Phylogenetics identified the fungus as a previously undescribed species, Serendipita cyanobacteriicola, closely related to endophytes, and the cyanobacterium belongs to the family Coleofasciculaceae, representing a genus and species not yet classified, Symbiothallus taiwanensis. These thalli exhibit nitrogen-fixing activity similar to mosses but lower than cyanolichens. Both symbiotic partners are distinct from known lichen-forming symbionts, uncovering a phylogenetically and morphologically unprecedented thallus-forming fungus-cyanobacterium symbiosis. We propose the name "phyllosymbia" for these thalli to underscore their unique symbiotic nature and leaf-like appearance. This finding marks a previously unknown instance of fungi solely residing within structures generated by cyanobacteria.

MultiTax-human: an extensive and high-resolution human-related full-length 16S rRNA reference database and taxonomy

Considering that the human microbiota plays a critical role in health and disease, an accurate and high-resolution taxonomic classification is thus essential for meaningful microbiome analysis. In this study, we developed an automatic system, named MultiTax pipeline, for generating de novo taxonomy from full-length 16S rRNA sequences using the Genome Taxonomy Database and other existing reference databases. We first constructed the MultiTax-human database, a high-resolution resource specifically designed for human microbiome research and clinical applications. The database includes 842,649 high-quality full-length 16S rRNA sequences, extracted from multiple public repositories and human-related studies, offering a comprehensive and accurate portrayal of the human microbiome. To validate the MultiTax-human database, we profiled the human microbiome across various body sites, identified core microbial taxa, and tested its performance using an independent data set. Additionally, the database is equipped with a user-friendly web interface for easy querying and data exploration. The MultiTax-human database is poised to serve as a valuable tool for researchers, enhancing the precision of human microbiome studies and advancing our understanding of its impact on human health and diseases.IMPORTANCEUnderstanding the human microbiome, the collection of microorganisms in and on our bodies, is essential for advancing health research. Current methods often lack precision and consistency, hindering our ability to study these microorganisms effectively. Our study presents the MultiTax-human database, a high-resolution reference tool specifically designed for human microbiome research. By integrating data from multiple sources and employing advanced classification techniques, this database offers an accurate and detailed map of the human microbiome. This resource enhances the ability of researchers and clinicians to explore the roles of microorganisms in health and disease, potentially leading to improved diagnostics, treatments, and insights into various medical conditions.

Distribution characteristics and seasonal variation of microbial communities in powdered infant formula processing environment

The powdered infant formula (PIF) processing environment, as an industrial production site, provides a habitat conducive to microbial aggregation and colonization. However, the distribution and dynamics of microbial communities within this environment remain inadequately characterized. In this study, microbial community analysis was conducted using high-throughput sequencing on samples collected from the full production chain of 8 PIF factories. The sampling encompassed various types (raw milk, staff, air, equipment, wall and ground, and others) during two different seasons (summer and winter). The microbial diversity, composition, and dominant species varied across different groups. Potential source tracking analysis revealed close interactions between staff, air, and surface samples, indicating a potential risk of microbial transfer between staff and the processing environment. The β-nearest taxon index based null model showed that stochastic processes predominantly governed microbial community assembly across all groups. Positive interspecies interactions within the network structure, observed across different seasons and sample types, played a vital role in stabilizing and assembling microbial communities. Notably, the microbiota association networks of summer were more complex but demonstrated higher susceptibility to external disturbances. Conversely, the network structure of surface samples was more robust than that of other types of samples. These findings have improved our understanding of the microbial community distribution patterns in PIF processing environments, facilitating the prospective prediction and assessment of potential microbial sources and contamination risks in the processing chain, which in turn guides the implementation of refined control measures.

Degradation of anthracene and phenanthrene by strain Streptomyces sp. M-1 and its application in the treatment of PAHs-contaminated water

Polycyclic aromatic hydrocarbons (PAHs) are persistent organic pollutants with mutagenicity, carcinogenicity and teratogenicity, widely distributed in the environment. Effective biodegradation of PAHs is highly required, especially in wastewater. An efficient PAHs degrading strain Streptomyces sp. M-1 was isolated from polluted kerosene. The degradation capacity of anthracene and phenanthrene was evaluated under various PAHs concentrations, pH, and temperatures by M-1. To find the degradation pathways, the key intermediates were detected by mass spectrometry and the enzyme-encoding genes were analyzed by many bioinformatics tools. Furthermore, the potential of the strain for bioremediation in PAH-contaminated water was evaluated. The results showed that the maximal degradation rate of anthracene and phenanthrene reached 93.14% (100 mg L-1, 7 days) and 49.25% (50 mg L-1, 7 days), respectively. Their average degradation rate increased within the concentration of 50-800 mg L-1 and reached 2.72 mg d-1 for anthracene and 1.28 mg d-1 for phenanthrene at 800 mg L-1. M-1 exhibited high and stable anthracene degradation rate under tested pH and temperatures, and high phenanthrene degradation under tested pH and higher temperatures. Based on the analysis of both intermediates and enzyme-encoding genes, it is proposed that anthracene undergoes degradation via the phthalic acid pathway, while phenanthrene follows the salicylic acid pathway. Finally, 98.98% degradation of anthracene and 72.77% degradation of phenanthrene in water was realized over 14 days. We thus propose that Streptomyces sp. M-1 is an effective degrader for bioremediation of PAHs pollution.

Superior Resolution Profiling of the Coleofasciculus Microbiome by Amplicon Sequencing of the Complete 16S rRNA Gene and ITS Region

The filamentous cyanobacterium Coleofasciculus chthonoplastes is the key primary producer of marine microbial mats. We elucidated the microbiomes of 32 non-axenic Coleofasciculus isolates using PacBio-based amplicon sequencing of the complete 16S rRNA gene and the internally transcribed spacer (16S-ITS). The length of authentic amplicon sequence variants (ASVs) ranged from 1827 to 3044 nucleotides (median: 2267 nt). The results, which were complemented by metagenome analyses and cultivation approaches, revealed the presence of more than 70 associated heterotrophs in the culture of Coleofasciculus sp. WW12. The great bacterial diversity in the cyanosphere is dominated by Pseudomonadota (59%) and Bacteroidota (23%). Allelic ribosomal operon variants were detected in 18 Coleofasciculus strains and our analyses proposed the presence of at least four different species. A comparative analysis of cyanobacterial microbiomes documented complementary advantages of amplicon sequencing versus metagenomics with an individual strength of the 16S-ITS approach in terms of (i) ribosomal target sequence quality, (ii) contaminant detection and (iii) identification of rare bacteria. The characterisation of the Coleofasciculus microbiome showed that long-read amplicon sequencing of the 16S-ITS region is the method of choice for rapid profiling of non-axenic cyanobacteria. Its superior resolution allows a reliable differentiation of even very closely related strains.

Maternal stress in the early postpartum period is associated with alterations in human milk microbiome composition

BACKGROUND

Maternal stress is associated with negative early-life development and (mental)health outcomes. There is recent evidence that maternal stress in the postpartum period impacts the nutrient composition of human milk (HM). However, it is currently not known whether maternal stress is associated with changes in the HM microbiome during the critical early postpartum period.

METHODS

In this prospective observational cohort study, lactating women were recruited into a high-stress (HS, n = 23) and control (CTL, n = 69) group. The HS group included mothers with infants hospitalized for at least two days. Maternal stress was assessed using validated questionnaires and cortisol concentrations in hair, saliva and HM. HM was collected at days 10 and 24 and its microbiome was analyzed using 16 s rRNA sequencing. HM bacterial composition was compared between study groups and their correlation with maternal stress levels, maternal characteristics and infant outcomes was determined.

RESULTS

HM microbiome β-diversity differed significantly between study groups, with HS mothers displaying decreased abundance of Streptococcus, Gemella, and Veillonella, and increased levels of Staphylococcus, Corynebacterium and Acinetobacter compared to the control group. While the strongest correlation of β-diversity was with stress, HM microbiome β-diversity also correlated significantly with maternal education level and infant sex. No correlation between HM microbiome composition and HM cortisol concentrations was found.

CONCLUSIONS

This study demonstrates stress-associated alterations in the early HM microbiome that could potentially contribute to early gut colonization and subsequent (mental)health outcomes. Future research is needed to elucidate the physiological significance of these changes for infant development and health.

Evaluating the efficiency of 16S-ITS-23S operon sequencing for species level resolution in microbial communities

Rapid advancements in long-read sequencing have facilitated species-level microbial profiling through full-length 16S rRNA sequencing (~ 1500 bp), and more notably, by the newer 16S-ITS-23S ribosomal RNA operon (RRN) sequencing (~ 4500 bp). RRN sequencing is emerging as a superior method for species resolution, exceeding the capabilities of short-read and full-length 16S rRNA sequencing. However, being in its early stages of development, RRN sequencing has several underexplored or understudied elements, highlighting the need for a critical and thorough examination of its methodologies. Key areas that require detailed analysis include understanding how primer pairs, sequencing platforms, and classifiers and databases affect the accuracy of species resolution achieved through RRN sequencing. Our study addresses these gaps by evaluating the effect of primer pairs using four RRN primer combinations, and that of sequencing platforms by employing PacBio and Oxford Nanopore Technologies (ONT) systems. Furthermore, two classification methods (Minimap2 and OTU clustering), in combination with four RRN reference databases (MIrROR, rrnDB, and two versions of GROND) were compared to identify consistent and accurate classification methods with RRN sequencing. Here we demonstrate that RRN primer pair choice and sequencing platform do not substantially bias taxonomic profiles for most of the tested mock communities, while classification methods significantly impact the accuracy of species-level assignments. Of the classification methods tested, Minimap2 classifier in combination with the GROND database most consistently provided accurate species-level classification across the communities tested, irrespective of sequencing platform.

Unraveling the distinctive gut microbiome of khulans (Equus hemionus hemionus) in comparison to their drinking water and closely related equids

The microbial composition of host-associated microbiomes is influenced by co-evolutionary interactions, host genetics, domestication, and the environment. This study investigates the contribution of environmental microbiota from freshwater bodies to the gastrointestinal microbiomes of wild khulans (Equus hemionus hemionus, n = 21) and compares them with those of captive khulans (n = 12) and other equids-Przewalski's horse (n = 82) and domestic horse (n = 26). Using PacBio technology and the LotuS pipeline for 16S rRNA gene sequencing, we analyze microbial diversity and conduct differential abundance, alpha, and beta diversity analyses. Results indicate limited microbial sharing between wild khulans and their waterhole environments, suggesting minimal environmental influence on their gut microbiomes and low levels of water contamination by khulans. Wild khulans exhibit greater microbial diversity and richness compared to captive ones, likely due to adaptations to the harsh nutritional conditions of the Gobi desert. Conversely, captive khulans show reduced microbial diversity, potentially affected by dietary changes during captivity. These findings highlight the significant impact of environment and lifestyle on the gut microbiomes of equids.

Clade-specific long-read sequencing increases the accuracy and specificity of the gyrB phylogenetic marker gene

Phylogenetic marker gene sequencing is often used as a quick and cost-effective way of evaluating microbial composition within a community. While 16S rRNA gene sequencing (16S) is commonly used for bacteria and archaea, other marker genes are preferable in certain situations, such as when 16S sequences cannot distinguish between taxa within a group. Another situation is when researchers want to study cospeciation of host taxa that diverged much more recently than the slowly evolving 16S rRNA gene. For example, the bacterial gyrase subunit B (gyrB) gene has been used to investigate cospeciation between the microbiome and various hominid species. However, to date, only primers that generate short-read Illumina MiSeq-length amplicons exist to investigate gyrB of the Bacteroidaceae, Bifidobacteriaceae, and Lachnospiraceae families. Here, we update this methodology by creating gyrB primers for the Bacteroidaceae, Bifidobacteriaceae, and Lachnospiraceae families for long-read PacBio sequencing and characterize them against established short-read gyrB primer sets. We demonstrate both bioinformatically and analytically that these longer amplicons offer more sequence space for greater taxonomic resolution, lower off-target amplification rates, and lower error rates with PacBio CCS sequencing versus established short-read sequencing. The availability of these long-read gyrB primers will prove to be integral to the continued analysis of cospeciation between bacterial members of the gut microbiome and recently diverging host species.

IMPORTANCE

Previous studies have shown that the marker gene gyrase subunit B (gyrB) can be used to study codiversification between the gut microbiome and hominids. However, only primers for short-read sequencing have been developed which have limited resolution for subspecies assignment. In the present study, we create new gyrB primer sets for long-read sequencing approaches and compare them to the existing short-read gyrB primers. We show that using longer reads leads to better taxonomic resolution, lower off-target amplification, and lower error rates, which are vital for accurate estimates of codiversification.

Assembly mechanisms, not species pool, shape β-diversity of soil methanotrophic communities in steppes of China

Introduction

One of the central aims in ecology is elucidating the mechanisms that shape community diversity. While biodiversity patterns across geographical gradients are often attributed both to local assembly processes and regional species pools, the distinct roles of these factors in shaping soil aerobic methanotrophic diversity remain underexplored.

Methods

Using amplicon sequencing and bioinformatics analysis, this study focuses on comparing the relative importance of species pool and community assembly processes in shaping soil methanotrophic communities across three distinct plateaus in China: the Loess Plateau, the Qinghai-Tibetan Plateau, and the Inner Mongolian Plateau. Each of these plateaus includes three distinct steppe habitats: desert, meadow, and typical steppe.

Results

Our findings reveal that pmoA beta (β)-diversity followed a distance-decay pattern, which declined with geographical distance at different rates depending on the steppe type and area, potentially due to diverse mechanisms of community assembly. Moreover, a decoupling between β-diversity and gamma-diversity observed, suggesting that local community assembly mechanisms primarily account for variations in β-diversity patterns. Furthermore, the relative significance of these assembly processes (e.g., dispersal limitation, drift, environmental filtering, and biotic interactions) varies according to spatial scales and steppe types. Notably, the differential environmental conditions (such as soil pH, yearly average temperature, and precipitation) across scales and steppe habitats primarily modulate the intensity of these assembly processes, thereby influencing β-diversity.

Conclusion

In summary, our study emphasizes the crucial role of local community assembly in changing soil methanotrophic β-diversity's geographical patterns, highlighting the significance of a nuanced understanding of these processes for effective conservation and management strategies.

Cyperus esculentus var. sativus Adapts to Multiple Heavy Metal Stresses Through the Assembly of Endophytic Microbial Communities

Interactions between plants and their endophytes alter their metabolic functions and ability to cope with abiotic stresses. In this study, high-throughput sequencing was used to analyze the species diversity and functions of endophytes in Cyperus esculentus var. sativus (CES) tubers under different heavy metal stress conditions. The results indicated that the number of observed endophytic species in the tubers increased under heavy metal stress (p < 0.05), leading to changes in species diversity and composition. The response of tuber endophytes to different metal concentrations varied, with certain endophytic bacteria and fungi, such as Pseudomonas, Novosphingobium, and Fusarium, showing increased abundance and becoming the dominant species in the tubers. Additionally, new endophytic genera, Actinophytocola and Monosporascus, emerged at specific metal concentrations (p < 0.05). Fatty acid salvage was enriched in the endophytes of CES, which may play an important role in assisting CES in responding to multiple heavy metal stresses. These findings showed that CES tuber endophytes undergo adaptive changes to support the ability of plants to cope with heavy metal stress.

Rhizosphere microbial community structure and PICRUSt2 predicted metagenomes function in heavy metal contaminated sites: A case study of the Blesbokspruit wetland

This study investigated the microbial diversity inhabiting the roots (rhizosphere) of macrophytes thriving along the Blesbokspruit wetland, South Africa's least conserved Ramsar site. The wetland suffers from decades of pollution from mining wastewater, agriculture, and sewage. The current study focused on three macrophytes: Phragmites australis (common reed), Typha capensis (bulrush), and Eichhornia crassipes (water hyacinth). The results revealed a greater abundance and diversity of microbes (Bacteria and Fungi) associated with the free-floating E. crassipes compared to P. australis and T. capensis. Furthermore, the correlation between microbial abundance and metals, showed a strong correlation between fungal communities and metals such as nickel (Ni) and arsenic (As), while bacterial communities correlated more with lead (Pb) and chromium (Cr). The functional analysis predicted by PICRUSt2 identified genes related to xenobiotic degradation, suggesting the potential of these microbes to break down pollutants. Moreover, specific bacterial groups - Proteobacteria, Verrucomicrobia, Cyanobacteria, and Bacteroidetes - were linked to this degradation pathway. These findings suggest a promising avenue for microbe-assisted phytoremediation, a technique that utilizes plants and their associated microbes to decontaminate polluted environments.

All roads lead to Rome: the plasticity of gut microbiome drives the extensive adaptation of the Yarkand toad-headed agama (Phrynocephalus axillaris) to different altitudes

The gut microbiome was involved in a variety of physiological processes and played a key role in host environmental adaptation. However, the mechanisms of their response to altitudinal environmental changes remain unclear. In this study, we used 16S rRNA sequencing and LC-MS metabolomics to investigate the changes in the gut microbiome and metabolism of the Yarkand toad-headed agama (Phrynocephalus axillaris) at different altitudes (-80 m to 2000 m). The results demonstrated that Firmicutes, Bacteroidetes, and Proteobacteria were the dominant phylum, Lachnospiraceae and Oscillospiraceae were the most abundant family, and the low-altitude populations had higher richness than high-altitude populations; Akkermansiaceae appeared to be enriched in high-altitude populations and the relative abundance tended to increase with altitude. The gut microbiome of three populations of P. axillaris at different altitudes was clustered into two different enterotypes, low-altitude populations and high-altitude populations shared an enterotype dominated by Akkermansia, Kineothrix, Phocaeicola; intermediate-altitude populations had an enterotype dominated by Mesorhizobium, Bradyrhizobium. Metabolites involved in amino acid and lipid metabolism differed significantly at different altitudes. The above results suggest that gut microbiome plasticity drives the extensive adaptation of P. axillaris to multi-stress caused by different altitudes. With global warming, recognizing the adaptive capacity of wide-ranging species to altitude can help plan future conservation strategies.

Effects of Bacillus subtilis ATCC PTA-122264 on apparent total tract macronutrient digestibility and fecal characteristics, metabolites, and microbiota of healthy adult dogs

Gastrointestinal and stool quality issues are common in companion animals. In addition to dietary fibers and prebiotics, the consumption of live microorganisms may be used to support the gastrointestinal health of pets. Spore-forming Bacillus species are gaining interest due to their viability during processing, storage, and within the gastrointestinal tract. The objective of the current study was to determine the effects of B. subtilis ATCC PTA-122264 supplementation on dietary apparent total tract macronutrient digestibility and the fecal characteristics, metabolites, and microbiota of healthy adult dogs. Twelve healthy adult beagle dogs (6 ± 1.14 yr; 8.71 ± 0.91 kg body weight) were used in a replicated 3 × 3 Latin square design. Dogs were fed to maintain body weight and allotted to 1 of the 3 treatments each experimental period (n = 12/treatment): Control [kibble diet + placebo (1.25 g of maltodextrin)], Low [kibble diet + 1 × 109 colony-forming units (CFU)/d of B. subtilis], and High (kibble diet + 5 × 109 CFU/d of B. subtilis). Each experimental period was composed of a 22-d adaptation phase, 5-d fecal collection phase, and 1 d for blood collection. Fecal microbiota data were evaluated using QIIME2. All other data were analyzed using the Mixed Models procedure of SAS, with P < 0.05 being considered significant. B. subtilis supplementation tended to decrease (P < 0.10) apparent total tract dry matter, organic matter, and energy digestibilities but did not influence food or energy intake, fecal output, and apparent total tract protein or fat digestibilities. Most serum metabolites, hematology, fecal characteristics, and fecal bacterial alpha and beta diversity indices were not affected. Fecal dysbiosis index tended to be affected and fecal Streptococcus, Escherichia coli, and Blautia abundances were lower (P < 0.05) in dogs allotted to the Low treatment. These data suggest that daily supplementation of up to 5 × 109 CFU/d of B. subtilis ATCC PTA-122264 is safe and does not affect markers of general health and fecal characteristics of healthy dogs, warranting further exploration.

The Ribosomal Operon Database: A Full-Length rDNA Operon Database Derived From Genome Assemblies

Current rDNA reference sequence databases are tailored towards shorter DNA markers, such as parts of the 16/18S marker or the internally transcribed spacer (ITS) region. However, due to advances in long-read DNA sequencing technologies, longer stretches of the rDNA operon are increasingly used in environmental sequencing studies to increase the phylogenetic resolution. There is, therefore, a growing need for longer rDNA reference sequences. Here, we present the ribosomal operon database (ROD), which includes eukaryotic full-length rDNA operons fished from publicly available genome assemblies. Full-length operons were detected in 34.1% of the 34,701 examined eukaryotic genome assemblies from NCBI. In most cases (53.1%), more than one operon variant was detected, which can be due to intragenomic operon copy variability, allelic variation in non-haploid genomes, or technical errors from the sequencing and assembly process. The highest copy number found was 5947 in Zea mays. In total, 453,697 unique operons were detected, with 69,480 operon variant clusters remaining after intragenomic clustering at 99% sequence identity. The operon length varied extensively across eukaryotes, ranging from 4136 to 16,463 bp, which will lead to considerable polymerase chain reaction (PCR) bias during amplification of the entire operon. Clustering the full-length operons revealed that the different parts (i.e., 18S, 28S, and the hypervariable regions V4 and V9 of 18S) provide divergent taxonomic resolution, with 18S, the V4 and V9 regions being the most conserved. The ROD will be updated regularly to provide an increasing number of full-length rDNA operons to the scientific community.

Potential of nanopore sequencing for tuberculosis diagnosis and drug resistance detection

OBJECTIVES

This study evaluates the effectiveness of nanopore sequencing for accurate detection of Mycobacterium tuberculosis pathogens and drug resistance mutations in clinical specimens.

METHODS

A retrospective analysis of 2,421 specimens from suspected tuberculosis patients admitted to Xi'an Chest Hospital from 2022 to 2023 was conducted, with 131 specimens undergoing via real-time, fluorescence-based quantitative Polymerase Chain Reaction (qPCR), simultaneous amplification and testing RNA (RNA), Mycobacterium culture, Mycobacterium smear, and nanopore sequencing. Employing clinical tuberculosis diagnoses as the gold standard, sensitivity, specificity, positive predictive value, negative predictive value, concordance rate, and Kappa coefficient were measured for the five detection techniques. We compared nanopore sequencing with the Melting Curve method to detect drug-resistant gene mutations.

RESULTS

Nanopore sequencing has a significantly higher sensitivity (0.786) for tuberculosis diagnosis compared to qPCR (0.411), RNA (0.411), Mycobacterium culture (0.402), and Mycobacterium smear (0.241), against the gold-standard clinical diagnosis. It also exhibited a greater concordance rate (0.809) and Kappa coefficient (0.488), and outperformed the other methods in terms of the area under the ROC curve. Nanopore sequencing surpassed the Melting Curve method in identifying drug-resistant mutations.

CONCLUSION

Nanopore sequencing significantly enhances the detection of tuberculosis pathogens and drug-resistant genes.

Structure and composition of early biofilms formed on dental implants are complex, diverse, subject-specific and dynamic

Biofilm-associated peri-implant infections pose a major problem in modern medicine. The understanding of biofilm development is hampered by biofilm complexity and the lack of robust clinical models. This study comprehensively characterized the dynamics of early biofilm formation in the transmucosal passage of implant abutments in 12 patients. Biofilm structures and compositions were complex, diverse, subject-specific and dynamic. A total of 371 different bacterial species were detected. 100 phylogenetically diverse unnamed species and 35 taxonomically diverse disease-associated species comprised an average 4.3% and 3.1% of the community, respectively, but reached up to 12.7% and 21.7% in some samples. Oral taxa formed numerous positive associations and clusters and were characterized by a high potential for metabolic interactions. The subspecies diversity was highly patient-specific and species-dependent, with 1427 ASVs identified in total. The unprecedented depth of early biofilm characterization in this study will support the development of individualized preventive and early diagnostic strategies.

Development and Evaluation of Non-Antibiotic Growth Promoters for Food Animals

The widespread utilization of antibiotic growth promoters (AGPs) boosts the growth rate of food animals and enhances human living standards. Nevertheless, it is accompanied by escalating antibiotic resistance. Consequently, there is an urgent demand to develop novel alternatives to growth promoters. The objective of this study was to develop a non-antibiotic growth promoter (NAGP) for augmenting the growth rate of food animals. The growth-promoting effect of plant-derived NAGPs was assessed in mice and broiler chickens, and its growth-promoting mechanism was initially investigated. The results reveal that a combination of hawthorn (also known as shanzha) and astragalus (also known as huangqi) extracts (SQ) enhanced the growth rate of mice both in vivo and in vitro, attributed to their significant capacity to promote muscle growth and improve immunity (p < 0.05). The composite super energy extract M (CSEE-M), further optimized on the basis of SQ, significantly improved growth performance and feed conversion ratio, and elevated the activity of intestinal digestive enzymes (p < 0.05) in both mice and broilers and reshaped the gut microbiota of broilers. The addition of 0.5% CSEE-M to broiler drinking water significantly increased muscle content and improved carcass quality (p < 0.05). In conclusion, both SQ and CSEE-M hold great promise as NAGPs and serve as effective substitutes to AGPs. This research not only furnishes new solutions for the misuse of antibiotics but presents a fresh perspective for the development of growth promoters.

Impact of dual Bt-transgenic maize (2A7) on soil microbial communities and enzyme activities: A comparative study with control variety Z58

The impacts of transgenic crops on soil microbiology and fertility are critical in determining their biosafety. While transgenic crops can alter soil microbes, their effects are often context-dependent; therefore, the ecological importance of these changes remains a topic of ongoing research. Using high-throughput sequencing, we investigated the effects of Bacillus thuringiensis (Bt) maize expressing the mcry1Ab and mcry2Ab genes (2A7) on soil nutrient dynamics, as well as the diversity and function of soil microbial communities, including bacteria and fungi, within different soil compartments. Our findings revealed a plant-shaped rhizosphere (RS) microbial community as a result of the selective recruitment of microorganisms from the surrounding environment. The transgene insertion had a significant impact on the RS niche, and several species eventually became associated with Z58 and 2A7 plants. For example, Neocosmospora rubicola fungal and Pantoea dispersa bacterial microorganisms were significantly decreased in the dual Bt-transgenic 2A7 rhizosphere but enriched in the Z58 rhizospheres. The activity of soil enzymes such as urease, invertase, and alkaline phosphatase was boosted by Bt-transgenic 2A7. LefSe analysis identified significant bacterial and fungal biomarker species that were responsible for the differential effects of Bt-transgenic 2A7 and control Z58 within rhizosphere soils. Mantel analysis further demonstrated that the root exudates of 2A7 altered nutrient-acquisition enzymes by influencing biomarker taxa. PICRUSt2 functional characterization revealed a significantly higher abundance of the phosphate-starvation-inducible protein in control Z58 than in Bt-transgenic 2A7. Furthermore, taxonomy, alpha (Shannon diversity), and beta diversity analyses all revealed niche-driven microbial profile differentiation. Niche partitioning also had a significant impact on N- and P-related COGs as well. Our findings suggests that Bt-transgenic 2A7 modulates rhizosphere microbial communities by affecting biomarker taxa and soil enzyme activity. These findings will promote sustainable agriculture practices by advancing our knowledge of the ecological effects of Bt crops on soil microbial communities.

Cefazolin shifts the kidney microbiota to promote a lithogenic environment

Clinical studies of the urinary tract microbiome, termed urobiome, suggest a direct, antibiotic-dependent, impact of the urobiome on kidney physiology. However, evidence for kidney bacteria comes from indirect sources or infected tissue. Further, it is unclear how antibiotics impact kidney bacteria. Here we show direct evidence for the presence of bacteria in the kidneys, with microniches in nephrons. In murine kidneys, administration of cefazolin, a commonly used perioperative antibiotic, led to a loss of uroprotective Lactobacillus spp. and proliferation of Enterobacteriaceae (which includes many known uropathogens). This effect was dependent on treatment duration, with recovery post treatment. Uroprotective L. crispatus and a strain of stone-associated E. coli differentially influenced calcium oxalate (CaOx) crystallization through the incorporation of CaOx inhibitors or promoters, respectively. In humans, microbial signatures were identified in the kidney, with unique niches between the glomeruli and tubules, established through RNA sequencing analysis and direct imaging of two independent populations. Collectively, findings support the hypothesis that the kidneys harbor a stable and antibiotic-responsive microbiota that can influence CaOx lithogenesis. The presence of unique, age-dependent microbial signatures in the glomeruli and tubuli carry implications for non-infectious kidney diseases.

Neighborhood plant community, airborne microbiota transferred indoors and prevalence of respiratory diseases are interrelated: A cross-sectional study

Airborne microbiota transferred indoors (AMTI) is linked to human respiratory health. Yet, the factors influencing these microorganisms and their connections to the prevalence of respiratory diseases (RDs) remain unclear. In this study, we examined plant communities and AMTI using VenTube, next-generation sequencing and quantitative polymerase chain reaction (qPCR) in 72 Shanghai neighborhoods in warm and cold seasons, respectively. To determine the prevalence of RDs, we collected 1026 questionnaires, enlisting 30 ± 5 volunteers aged 40-80, residing in the area for more than a decade, with an equal gender balance. Our results demonstrated that the AMTI communities were less diverse in the cold season than in the warm season, which is in agreement with the changes of garden plant diversity between seasons. Along the reduction of AMTI diversity, greater relative abundances of RDs-associated microbes (e.g., Pseudomonas and Streptococcus) was transferred indoors during the cold season. The questionnaire survey showed that the most prevalent symptom was shortness of breath (25.6 %), followed by rhinitis (20.8 %) and wheeze (14.4 %), with generally no prevalence difference between urban and peri-urban neighborhoods. Notably, despite the sparse garden plant community in the cold season, the abundance of Oleaceae trees showed an inverse relationship with the RDs-associated microbes as well as the prevalences of RDs based on the structural equation model results. This finding was largely supported by the negative effect of Oleaceae trees on the population of Streptococcus anginosus (qPCR) which was a dominant species transferred indoors in the cold season, given that S. anginosus is highly associated with rhinitis and rhinoconjunctivitis. Taken together, our findings suggest a strong association between the Oleaceae trees, the AMTI and the prevalence of RDs, which can shed some lights in the ecological development towards respiratory safe environment in cities.

Full-Length ITS Amplicon Sequencing Resolves Phytophthora Species in Surface Waters Used for Orchard Irrigation in California's San Joaquin Valley

Diverse Phytophthora species, including many important plant pathogens, have been widely detected among surface water irrigation sources. In the past decade, metabarcoding has been used to characterize waterborne Phytophthora populations. Metabarcoding typically involves amplification of portions of the nuclear ribosomal internal transcribed spacers (ITSs) ITS1 or ITS2 from Phytophthora species, followed by indexed high-throughput sequencing. However, full-length sequences of the entire ITS region are required for resolution of many Phytophthora species. We used metabarcoding with Pacific Biosciences (PacBio) sequencing of full-length ITS amplicons to analyze populations of Phytophthora in waterways of the Stockton East Water District (SEWD) in the northern San Joaquin Valley of California. This approach yielded species-level resolution of many members of the Phytophthora community. Results were compared with those obtained by using ITS1 or ITS2 regions alone and were found to provide superior species resolution for P. pini, P. capsici, and P. gregata. Samples were collected throughout the 2021 irrigation season from five waterways across the SEWD. Thirty-eight Phytophthora species were detected in the waterways, including tree-crop pathogens P. acerina, P. cactorum, P. pini, P. × cambivora, P. niederhauserii, P. mediterranea, and P. taxon walnut. These pathogenic species were detected throughout the SEWD during most of the irrigation season. The results demonstrated the usefulness of full-length ITS amplicon sequencing for identifying Phytophthora species in environmental samples and suggested that some disease risk may be incurred by orchardists irrigating with SEWD water. Additional epidemiological studies will be required to critically evaluate this risk.

Assessment of the cyst wall and surface microbiota in dormant embryos of the Antarctic calanoid copepod, Boeckella poppei

Embryos of zooplankton from inland waters and estuaries can remain viable for years in an extreme state of metabolic suppression. How these embryos resist microbial attack with limited metabolic capacity for immune defence or repair is unknown. As a first step in evaluating resistance to microbial attack in dormant zooplankton, surface colonization of the Antarctic freshwater copepod, Boeckella poppei, was evaluated. Scanning electron micrographs demonstrate the outer two layers of a five-layered cyst wall in B. poppei fragment and create a complex environment for microbial colonization. By contrast, the third layer remains undamaged during years of embryo storage in native sediment. The absence of damage to the third layer indicates that it is resistant to degradation by microbial enzymes. Scanning electron microscopy and microbiome analysis using the 16S ribosomal subunit gene and internal transcribed spacer (ITS) region demonstrate the presence of a diverse microbial community on the embryo surface. Coverage of the embryos with microbial life varies from a sparse population with individual microbes to complete coverage by a thick biofilm. Extracellular polymeric substance binds debris and provides a structural element for the microbial community. Frequent observation of bacterial fission indicates that the biofilm is viable in stored sediments.

High-Throughput Sequencing Analysis of Microbiota and Enzyme Activities in Xiaoqu from Seven Provinces in Southern China

Xiaoqu, a pivotal starter in baijiu fermentation, provides the most microflora and enzymes to initiate and maintain baijiu brewing. This study aims to explore the differences in microbiota and enzyme activities among Xiaoqu samples from seven provinces in southern China using high-throughput sequencing, plate isolation, and activity detection. The analyses revealed significant differences in bacterial and fungal communities across the samples. A total of 22 bacterial species and 17 target fungal species were isolated and identified. Predominant bacteria included Bacillus (Bacillus subtilis) and lactic acid bacteria (LABs), while the fungal communities were primarily composed of yeasts (Saccharomyces cerevisiae) and various molds. The activities of α-amylase and glucoamylase varied significantly among the samples, and samples from HN1 and GZ2 exhibited the highest activities. Correlation analyses highlighted the pivotal role of LABs in maintaining acidity and the importance of molds and yeasts in the saccharification and fermentation processes. These findings shed light on the microbial composition and diversity of Xiaoqu and the critical role of microbes in baijiu production. Moreover, they suggested potential microbial resources for developing artificial Xiaoqu via synthetic microbial community in the future, enhancing baijiu fermentation efficiency and overall product quality.

Optimizing microbiome reference databases with PacBio full-length 16S rRNA sequencing for enhanced taxonomic classification and biomarker discovery

Background

The study of the human microbiome is crucial for understanding disease mechanisms, identifying biomarkers, and guiding preventive measures. Advances in sequencing platforms, particularly 16S rRNA sequencing, have revolutionized microbiome research. Despite the benefits, large microbiome reference databases (DBs) pose challenges, including computational demands and potential inaccuracies. This study aimed to determine if full-length 16S rRNA sequencing data produced by PacBio could be used to optimize reference DBs and be applied to Illumina V3-V4 targeted sequencing data for microbial study.

Methods

Oral and gut microbiome data (PRJNA1049979) were retrieved from NCBI. DADA2 was applied to full-length 16S rRNA PacBio data to obtain amplicon sequencing variants (ASVs). The RDP reference DB was used to assign the ASVs, which were then used as a reference DB to train the classifier. QIIME2 was used for V3-V4 targeted Illumina data analysis. BLAST was used to analyze alignment statistics. Linear discriminant analysis Effect Size (LEfSe) was employed for discriminant analysis.

Results

ASVs produced by PacBio showed coverage of the oral microbiome similar to the Human Oral Microbiome Database. A phylogenetic tree was trimmed at various thresholds to obtain an optimized reference DB. This established method was then applied to gut microbiome data, and the optimized gut microbiome reference DB provided improved taxa classification and biomarker discovery efficiency.

Conclusion

Full-length 16S rRNA sequencing data produced by PacBio can be used to construct a microbiome reference DB. Utilizing an optimized reference DB can increase the accuracy of microbiome classification and enhance biomarker discovery.

Comparison of the Physicochemical Properties, Microbial Communities, and Hydrocarbon Composition of Honeys Produced by Different Apis Species

The chemical composition and quality of honey are influenced by its botanical, geographic, and entomological origins, as well as climatic conditions. In this study, the physicochemical characteristics, microbial communities, and hydrocarbon compounds of honey produced by Apis mellifera, Apis cerana, Apis laboriosa, Apis dorsata, and Apis florea were elucidated. The physicochemical profile of the honey exhibited significant differences across species, including moisture content (18.27-23.66%), fructose (33.79-38.70%), maltose (1.10-1.93%), electrical conductivity (0.37-0.74 mS/cm), pH (3.36-3.72), diastase activity (4.50-29.97 diastase number), and color (37.90-102.47 mm). Microbial analysis revealed a significant abundance of lactic acid bacteria, particularly the Apilactobacillus genus in A. laboriosa honey and the Lactobacillus in A. florea honey, indicating significant probiotic potential. Chemometric methods, principal component analysis, hierarchical cluster analysis, and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to classify the honey samples based on the 12 beeswax-derived hydrocarbons. The OPLS-DA model demonstrated 100% accuracy in predicting the entomological origin of honey, indicating that specific hydrocarbons are reliable markers for honey classification.

Changes in social environment impact primate gut microbiota composition

BACKGROUND

The gut microbiota (GM) has proven to be essential for both physical health and mental wellbeing, yet the forces that ultimately shape its composition remain opaque. One critical force known to affect the GM is the social environment. Prior work in humans and free-ranging non-human primates has shown that cohabitation and frequent social interaction can lead to changes in GM composition. However, it is difficult to assess the direction of causation in these studies, and interpretations are complicated by the influence of uncontrolled but correlated factors, such as shared diet.

RESULTS

We performed a 15-month longitudinal investigation wherein we disentangled the impacts of diet and social living conditions on GM composition in a captive cohort of 13 male cynomolgus macaques. The animals were in single housing for the first 3 months of the study initially with a variable diet. After baseline data collection they were placed on a controlled diet for the remainder of the study. Following this diet shift the animals were moved to paired housing for 6 months, enabling enhanced social interaction, and then subsequently returned to single housing at the end of our study. This structured sequencing of diet and housing changes allowed us to assess their distinct impacts on GM composition. We found that the early dietary adjustments led to GM changes in both alpha and beta diversity, whereas changes in social living conditions only altered beta diversity. With respect to the latter, we found that two particular bacterial families - Lactobacillaceae and Clostridiaceae - demonstrated significant shifts in abundance during the transition from single housing to paired housing, which was distinct from the shifts we observed based on a change in diet. Conversely, we found that other bacteria previously associated with sociality were not altered based on changes in social living conditions but rather only by changes in diet.

CONCLUSIONS

Together, these findings decouple the influences that diet and social living have on GM composition and reconcile previous observations in the human and animal literatures. Moreover, the results indicate biological alterations of the gut that may, in part, mediate the relationship between sociality and wellbeing.

SARS-CoV-2 infection is associated with intestinal permeability, systemic inflammation, and microbial dysbiosis in hospitalized patients

Coronavirus disease 2019 (COVID-19) and its associated severity have been linked to uncontrolled inflammation and may be associated with changes in the microbiome of mucosal sites including the gastrointestinal tract and oral cavity. These sites play an important role in host-microbe homeostasis, and disruption of epithelial barrier integrity during COVID-19 may potentially lead to exacerbated inflammation and immune dysfunction. Outcomes in COVID-19 are highly disparate, ranging from asymptomatic to fatal, and the impact of microbial dysbiosis on disease severity is unclear. Here, we obtained plasma, rectal swabs, oropharyngeal swabs, and nasal swabs from 86 patients hospitalized with COVID-19 and 12 healthy volunteers. We performed 16S rRNA sequencing to characterize the microbial communities in the mucosal swabs and measured concentrations of circulating cytokines, markers of gut barrier integrity, and fatty acids in the plasma samples. We compared these plasma concentrations and microbiomes between healthy volunteers and COVID-19 patients, some of whom had unfortunately died by the end of the study enrollment, and performed a correlation analysis between plasma variables and bacterial abundances. Rectal swabs of COVID-19 patients had reduced abundances of several commensal bacteria including Faecalibacterium prausnitzii and an increased abundance of the opportunistic pathogens Eggerthella lenta and Hungatella hathewayi. Furthermore, the oral pathogen Scardovia wiggsiae was more abundant in the oropharyngeal swabs of COVID-19 patients who died. The abundance of both H. hathewayi and S. wiggsiae correlated with circulating inflammatory markers including IL-6, highlighting the possible role of the microbiome in COVID-19 severity and providing potential therapeutic targets for managing COVID-19.IMPORTANCEOutcomes in coronavirus disease 2019 (COVID-19) are highly disparate and are associated with uncontrolled inflammation; however, the individual factors that lead to this uncontrolled inflammation are not fully understood. Here, we report that severe COVID-19 is associated with systemic inflammation, microbial translocation, and microbial dysbiosis. The rectal and oropharyngeal microbiomes of COVID-19 patients were characterized by a decreased abundance of commensal bacteria and an increased abundance of opportunistic pathogens, which positively correlated with markers of inflammation and microbial translocation. These microbial perturbations may, therefore, contribute to disease severity in COVID-19 and highlight the potential for microbiome-based interventions in improving COVID-19 outcomes.

Taxonomic and abundance biases affect the record of marine eukaryotic plankton communities in sediment DNA archives

Environmental DNA (eDNA) preserved in marine sediments is increasingly being used to study past ecosystems. However, little is known about how accurately marine biodiversity is recorded in sediment eDNA archives, especially planktonic taxa. Here, we address this question by comparing eukaryotic diversity in 273 eDNA samples from three water depths and the surface sediments of 24 stations in the Nordic Seas. Analysis of 18S-V9 metabarcoding data reveals distinct eukaryotic assemblages between water and sediment eDNA. Only 40% of Amplicon Sequence Variants (ASVs) detected in water were also found in sediment eDNA. Remarkably, the ASVs shared between water and sediment accounted for 80% of total sequence reads suggesting that a large amount of plankton DNA is transported to the seafloor, predominantly from abundant phytoplankton taxa. However, not all plankton taxa were equally archived on the seafloor. The plankton DNA deposited in the sediments was dominated by diatoms and showed an underrepresentation of certain nano- and picoplankton taxa (Picozoa or Prymnesiophyceae). Our study offers the first insights into the patterns of plankton diversity recorded in sediment in relation to seasonality and spatial variability of environmental conditions in the Nordic Seas. Our results suggest that the genetic composition and structure of the plankton community vary considerably throughout the water column and differ from what accumulates in the sediment. Hence, the interpretation of sedimentary eDNA archives should take into account potential taxonomic and abundance biases when reconstructing past changes in marine biodiversity.

A cross-systems primer for synthetic microbial communities

The design and use of synthetic communities, or SynComs, is one of the most promising strategies for disentangling the complex interactions within microbial communities, and between these communities and their hosts. Compared to natural communities, these simplified consortia provide the opportunity to study ecological interactions at tractable scales, as well as facilitating reproducibility and fostering interdisciplinary science. However, the effective implementation of the SynCom approach requires several important considerations regarding the development and application of these model systems. There are also emerging ethical considerations when both designing and deploying SynComs in clinical, agricultural or environmental settings. Here we outline current best practices in developing, implementing and evaluating SynComs across different systems, including a focus on important ethical considerations for SynCom research.

Impact of complementary feeding on infant gut microbiome, metabolites and early development

Introducing complementary foods is critical for promoting infant health and development. During the weaning period, the dietary patterns provide essential nutrients and facilitate the development of a diverse gut microbiome, which plays significant roles in the regulation of immune, metabolic, and neurological functions. This study enrolled 200 families to assess the impact of complementary feeding on infant growth and health outcomes. Data included detailed records of feeding practices, infant growth measurements, health assessments, and fecal samples and breast milk collected between weeks 12 and 32 postpartum. The gut microbiome was analyzed using 16S rRNA sequencing, while metabolites such as human milk oligosaccharides (HMOs), monosaccharides, and short-chain fatty acids (SCFAs) were measured using chromatography-mass spectrometry. Results revealed a high prevalence of breastfeeding, with complementary food introduced at around 16 weeks. Significant alterations in the infant gut microbiome were observed, particularly in the genera Lactobacillus, Akkermansia, and Staphylococcus. Additionally, the levels of HMOs, monosaccharides, and SCFAs were found to be influenced by the introduction of complementary foods. Significant correlations emerged between complementary feeding practices, gut microbiome diversity, specific bacterial genera (e.g., Streptococcus, Lactobacillus, Bifidobacterium, and Clostridioides), and key metabolites (such as lacto-N-tetraose, lacto-N-neotetraose, mannose, and butyric acid). This study offers valuable insights into the complex interactions between complementary feeding, gut microbiome development, and metabolite profiles during early infant growth. Future research with larger cohorts and targeted dietary interventions is recommended to further elucidate the underlying mechanisms.