Abundance Of Bacterial Taxa Research Articles

Effects of mushroom-tobacco rotation on microbial community structure in continuous cropping tobacco soil.

Rotation is an effective strategy for controlling crop diseases and improving plant health. However, the effect of a mushroom-tobacco rotation on the composition and structure of microbial communities in continuous cropping soil is unclear. This study analysed the structure and function of soil bacterial and fungal communities using Illumina MiSeq high-throughput 16S rRNA gene sequencing. The results showed that the physicochemical properties (organic matter, available nitrogen, available phosphorus, and available potassium) and enzymatic activity (phosphatase, catalase, urease and invertase activity) in the rotation treatments (Y1, M1, Y2 and M2) were significantly higher than those in the control (continuous cropping) treatment (CK) and reached peak values in the M2 treatment. PCA showed that the soil microbial community structure in each rotation treatment was different from that in the control. The dominant bacterial phyla of the different soil treatments were Proteobacteria and Actinobacteriota, and the dominant fungal phyla of the different soil treatments were Ascomycota and Basidiomycota. The M2 rotation significantly reduced the relative abundance of harmful fungi (Penicillium and Gibberella) compared to the other treatments. RDA showed that the most abundant bacterial taxa were negatively correlated with pH and positively correlated with physicochemical properties. However, the most abundant fungal taxa were positively correlated with pH and negatively correlated with physicochemical properties. The mushroom-tobacco rotation can effectively maintain the ecological balance of the substrate microbial environment, and provide a more effective way to prevent the continuous cropping of tobacco.

High Abundance of Candidatus Arthromitus in Intestinal Microbiota of Seriolella violacea (Palm Ruff) under Reared Conditions

Intestinal microbiota has been involved in several processes that benefit the host, such as digestion, nutrient metabolism, resistance to pathogens colonization and immune function. In this study, we investigated the diversity, composition and functional prediction of microbiota of reared Seriolella violacea (palm ruff) in the same cohort sampled at different times (7-, 8- and 9-month-old). Microbial community structure analyses, using 16S rRNA amplicon sequencing, revealed that the intestinal microbiota was dominated by the phyla Firmicutes, Proteobacteria, Fusobacteria and Tenericutes. At the genus level, Candidatus Arthromitus was the most abundant in all sampled timepoints, representing in average 78% of the bacterial community (ranging from 18 to 98%), corresponding to segmented filamentous bacteria, which are interesting because they have been associated with the maturation of immune responses in the gut and protecting the host from bacterial infections. The comparisons of the intestinal microbiota among the three groups showed differences in abundance of bacterial taxa and also in alpha diversity indexes (Shannon and Simpson), as well as beta diversity metrics (weighted and unweighted UniFrac). Potential functions of the intestinal microbiota of palm ruff were retrieved using Philipin and Tax4fun and these analyses revealed high levels of genes for sugar metabolism. To our knowledge, this study represents the first description of the intestinal microbiota of S. violacea.

P917 Intestinal complement interacts with commensal microbiota and provides pattern recognition in Inflammatory Bowel Disease

Abstract Background The complement system is a central humoral part of innate immunity and provides essential pattern recognition capabilities as well as effector functions such as opsonisation and target cell lysis. Its prominent role in infection and immunity is undisputed but its involvement in the pathogenesis of inflammatory bowel diseases remains less clear. Published data point to a role of complement within the intestinal lumen supporting clearance of pathogens1. Methods Expression of complement proteins within the intestinal epithelium was quantified by real-time qPCR on lesional and non-lesional biopsy samples from patients with IBD and healthy controls. The concentration of complement proteins was measured in fecal supernatants using ELISA. Flow cytometry of fecal bacterial single cell suspensions was used to assess complement (C3) and antibody (IgA) opsonisation status. Finally, cytometrically distinct populations were isolated by fluorescence-assisted cell sorting (FACS) and microbial community composition was investigated using 16S rDNA sequencing. Prediction of functional profiles from amplicon data was performed using Tax4Fun2. Results Complement expression in intestinal tissue was increased during active inflammation but certain targets were significantly less expressed in lesional mucosal sites (e.g. C6, C7). Free complement proteins in fecal supernatants were mostly undetectable by ELISA. In contrast, complement opsonisation was verified on fecal bacteria using flow cytometry. The degree of complement deposited on bacterial surfaces was significantly correlated with fecal calprotectin (p < 0.01). The percentage of complement-opsonized bacteria ranged from 0 to 5.3 % and did not correlate with intestinal inflammation while percentages of IgA opsonisation were generally higher (0.4 - 90.1%) and increased with fecal calprotectin (p < 0.01). FACS followed by 16S amplicon sequencing detected differences in bacterial taxa abundance between complement-opsonized, IgA-opsonized and non-opsonized fractions. Functional in-silico profiling revealed associations of complement-opsonization with bacterial virulence factors. Conclusion Luminal and mucosal complement expression and activity is evident in patients with IBD. Complement opsonisation profiles are distinct from IgA opsonisation and show features of specificity regarding recognition of microbial features.

Genetic variation and microbiota in bumble bees cross-infected by different strains of C. bombi.

The bumblebee Bombus terrestris is commonly infected by a trypanosomatid gut parasite Crithidia bombi. This system shows a striking degree of genetic specificity where host genotypes are susceptible to different genotypes of parasite. To a degree, variation in host gene expression underlies these differences, however, the effects of standing genetic variation has not yet been explored. Here we report on an extensive experiment where workers of twenty colonies of B. terrestris were each infected by one of twenty strains of C. bombi. To elucidate the host's genetic bases of susceptibility to infection (measured as infection intensity), we used a low-coverage (~2 x) genome-wide association study (GWAS), based on angsd, and a standard high-coverage (~15x) GWAS (with a reduced set from a 8 x 8 interaction matrix, selected from the full set of twenty). The results from the low-coverage approach remained ambiguous. The high-coverage approach suggested potentially relevant genetic variation in cell surface and adhesion processes. In particular, mucin, a surface mucoglycoprotein, potentially affecting parasite binding to the host gut epithelia, emerged as a candidate. Sequencing the gut microbial community of the same bees showed that the abundance of bacterial taxa, such as Gilliamella, Snodgrassella, or Lactobacillus, differed between 'susceptible' and 'resistant' microbiota, in line with earlier studies. Our study suggests that the constitutive microbiota and binding processes at the cell surface are candidates to affect infection intensity after the first response (captured by gene expression) has run its course. We also note that a low-coverage approach may not be powerful enough to analyse such complex traits. Furthermore, testing large interactions matrices (as with the full 20 x 20 combinations) for the effect of interaction terms on infection intensity seems to blur the specific host x parasite interaction effects, likely because the outcome of an infection is a highly non-linear process dominated by variation in individually different pathways of host defence (immune) responses.

Tumour microbiota structure predicts hypopharyngeal carcinoma recurrence and metastasis

ABSTRACT Objectives The relationship between microbiota and HPSCC recurrence and metastasis remains uncertain. This study aimed to investigate the role of the tumour microbiota in the disease-free survival (DFS) of HPSCC patients. Materials and methods Formalin-fixed paraffin-embedded (FFPE) tumour tissues were collected from 103 patients with HPSCC for 16S rRNA sequencing. We analysed the tumour microbiota in HPSCC patients with recurrence/metastasis and nonrecurrence/metastasis. The linear predictor score (LPS) was calculated based on the Cox regression model to assess the risk of recurrence and metastasis. Then, a time-dependent ROC curve was used to evaluate the prognostic power of the LPS. Results The phyla Bacteroidota, Firmicutes and Proteobacteria were the most abundant bacterial taxa in the tumour tissues. Eubacterium_coprostanoligenes_group (hazard ratio [HR] = 0.289, 95% confidence interval [CI] 0.137–0.608, p= 0.001) and Prevotella (HR = 3.744, 95% CI 1.439–9.738, p= 0.007) were independent predictors of DFS. The predicting classifier for recurrence and metastasis risk yielded an area under the curve (AUC) of 0.838 at 3 years and 0.860 at 5 years. Conclusion Our study demonstrated the relationship between tumour microbiota and recurrence and metastasis in patients with HPSCC.

Temporal Dynamics of Rare and Abundant Soil Bacterial Taxa from Different Fertilization Regimes Under Various Environmental Disturbances.

ABSTRACTGlobal climate change has emerged as a critical environmental problem. Different types of climate extremes drive soil microbial communities to alternative states, leading to a series of consequences for soil microbial ecosystems and related functions. An effective method is urgently needed for buffering microbial communities to tackle environmental disturbances. Here, we conducted a series of mesocosm experiments in which the organic (NOF) and chemical fertilizer (NCF) long-term-amended soil microbiotas were subjected to environmental disturbances that included drought, flooding, freeze-thaw cycles, and heat. We subsequently tracked the temporal dynamics of rare and abundant bacterial taxa in NOF and NCF treatment soils to assess the efficiencies of organic amendments in recovery of soil microbiome. Our results revealed that freeze-thaw cycles and drought treatments showed weaker effects on bacterial communities than flooding and heat. The turnover between rare and abundant taxa occurred in postdisturbance succession of flooding and heat treatments, indicating that new equilibria were tightly related to the rare taxa in both NCF and NOF treatment soils. The Bayesian fits of modeling for the microbiome recovery process revealed that the stability of abundant taxa in NOF was higher than that in NCF soil. In particular, the NOF treatment soil reduced the divergence from the initial bacterial community after weak perturbations occurred. Together, we demonstrated that long-term organic input is an effective strategy to enhance the thresholds for transition to alternative states via enhancing the stability of abundant bacterial species. These findings provide a basis for the sustainable development of agricultural ecosystems in response to changing climates.IMPORTANCE Different climate extremes are expected to be a major threat to crop production, and the soil microbiome has been known to play a crucial role in agricultural ecosystems. In recent years, we have known that organic amendments are an effective method for optimizing the composition and functioning of the soil microbial community and maintaining the health of the soil ecosystem. However, the effects of organic fertilization on buffering bacterial communities against environmental disturbances and the underlying mechanisms are still unclear. We conducted a series of mesocosm experiments and showed that organic fertilizers had additional capacities in promoting the soil microbiome to withstand climate change effects. Our study provides both mechanistic insights as well as a direct guide for the sustainable development of agricultural ecosystems in response to climate change.

Distribution of Core Root Microbiota of Tibetan Hulless Barley along an Altitudinal and Geographical Gradient in the Tibetan Plateau.

The Tibetan Plateau is regarded as the third pole of the earth and is one of the least explored places on the planet. Tibetan hull-less barley (Hordeum vulgare L. var. nudum) is the only cereal crop grown widely in the Tibetan Plateau as a staple food. Extensive and long-term cropping of barley may influence the soil’s chemical and biological properties, including microbial communities. However, microbiota associated with hull-less barley is largely unexplored. This study aimed to reveal the composition and diversity of bacterial and fungal communities associated with the hull-less barley at different elevations in the Tibetan Plateau. The core bacterial and fungal taxa of Tibetan hull-less barley were identified, with Bacillaceae, Blastocatellaceae, Comamonadaceae, Gemmatimonadaceae, Planococcaceae, Pyrinomonadaceae, Sphingomonadaceae, and Nitrospiraceae being the most abundant bacterial taxa and Ceratobasidiaceae, Chaetomiaceae, Cladosporiaceae, Didymellaceae, Entolomataceae, Microascaceae, Mortierellaceae, and Nectriaceae being the most abundant fungal taxa (relative abundance > 1%). Both bacterial and fungal diversities of hull-less barley were affected by altitude and soil properties such as total carbon, total nitrogen, and available phosphorus and potassium. Both bacterial and fungal diversities showed a significant negative correlation with altitude, indicating that the lower elevations provide a conducive environment for the survival and maintenance of hull-less barley-associated microbiota. Our results also suggest that the high altitude-specific microbial taxa may play an important role in the adaptation of the hull-less barley to the earth’s third pole.

Gut Microbiota in Monozygotic Twins Discordant for Parkinson's Disease.

Differences in gut microbiota between Parkinson's disease patients and controls seem to depend on multiple-frequently unmeasured-confounders. Monozygotic twins offer a unique model for controlling several factors responsible for interpersonal variation in gut microbiota. Fecal samples from 20 monozygotic twin pairs (n=40) discordant for Parkinson's disease were studied (metagenomic shotgun analysis). Paired data analysis detected minimal differences in bacterial taxa abundance at species level (Bacteroides pectinophilus [p=0.037], Bifidobacterium pseudocatenulatum [p= 0.050], and Bifidobacterium catenulatum [p=0.025]) and in predicted metabolic pathways (primary bile acid biosynthesis [p=0.037]). Additional studies are warranted to understand the role of gut microbiota in the pathogenesis of Parkinson's disease. ANN NEUROL 2022;92:631-636.

Milk microbiomes of three great ape species vary among host species and over time

In mammalian neonates, milk consumption provides nutrients, growth factors, immune molecules, and microbes. Milk microbiomes are increasingly recognized for their roles in seeding infant gut microbiomes and priming immune development. However, milk microbiome variation within and among individuals remains under investigation. We used 16S rRNA gene sequencing to investigate factors shaping milk microbiomes in three captive great ape species: Gorilla gorilla gorilla (individuals, N = 4; samples, n = 29), Pongo abelii (N = 2; n = 16), and Pongo pygmaeus (N = 1; n = 9). We demonstrate variation among host species, over lactation, and between housing facilities. In phylogenetic community composition, milk microbiomes were distinct among the three ape species. We found only a few shared, abundant bacterial taxa and suggest that they likely serve functional roles. The diversity and community composition of milk microbiomes showed gradual changes over time in gorillas and the Bornean orangutan, which was detectable with our comprehensive sampling over lactation stages (> 300-day span). In gorillas, milk microbiomes differed between housing facilities, but were similar between dams within a facility. These results support the strong influence of evolutionary history in shaping milk microbiomes, but also indicate that more proximate cues from mother, offspring, and the environment affect the distribution of rarer microbial taxa.

Gut Microbiota and Associated Mucosal Immune Response in Eosinophilic Granulomatosis with Polyangiitis (EGPA).

Eosinophilic granulomatosis with polyangiitis (EGPA) is an anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis. A genome-wide association study showed a correlation between ANCA-negative EGPA and variants of genes encoding proteins with intestinal barrier functions, suggesting that modifications of the mucosal layer and consequent gut dysbiosis might be involved in EGPA pathogenesis. Here, we characterized the gut microbiota (GM) composition and the intestinal immune response in a cohort of EGPA patients. Faeces from 29 patients and 9 unrelated healthy cohabitants were collected, and GM and derived metabolites’ composition were compared. Seven intestinal biopsies from EGPA patients with gastrointestinal manifestations were analysed to assess the T-cell distribution and its correlation with GM and EGPA clinical and laboratory features. No significant differences in GM composition, nor in the total amount of faecal metabolites, emerged between patients and controls. Nevertheless, differences in bacterial taxa abundances and compositional GM-derived metabolites profile were observed. Notably, an enrichment of potential pathobionts (Enterobacteriacee and Streptococcaceae) was found in EGPA, particularly in patients with active disease, while lower levels were found in patients on immunosuppression, compared with non-immunosuppressed ones. Significantly lower amounts of hexanoic acid were found in patients, compared to controls. The analysis of the immune response in the gut mucosa revealed a high frequency of IFN-γ/IL-17-producing T lymphocytes, and a positive correlation between EGPA disease activity and intestinal T-cell levels. Our data suggest that an enrichment in potential intestinal pathobionts might drive an imbalanced inflammatory response in EGPA.

Abstract 517: Diesel Exhaust Induces Gut Dysbiosis Along With Reduced Fecal Acetate Levels And Altered Lipid Metabolism

Ambient air pollution exposure leads to increased cardiovascular morbidity and mortality. Previous studies support a causal link between particulate matter (PM) exposure and cardiometabolic effects including atherosclerosis. We have previously reported that whole diesel exhaust (DE) exposure for 16 weeks led to increased hepatic triglycerides (TG), 9- and 13-hydroxyoctadecadienoic acid (HODEs), plasma cholesterol and TG in apolipoprotein E -/- (ApoE) mice. Furthermore, gut microbiota composition was altered in mice exposed to ambient ultrafine particles by oral gavage for 10-weeks, that significantly associated with atherogenic lipid metabolites. Thus, we hypothesized that chronic exposure to DE leads to dysbiosis that could likely mediate oxidative and metabolic effects in the liver. Male ApoE -/- mice at 31 weeks of age were randomly assigned to two groups (n=10/group) exposed to either DE or filtered air (FA) for 16 weeks (6 hours/day, 5 days/week). 16S sequencing of the cecum exhibited significant differences in the abundance of bacterial taxa, as well as alpha and beta diversity indices of the DE-exposed gut microbiome vs. FA (p<0.05). There were also significant positive associations between these cecum bacterial species and plasma and hepatic lipids. Furthermore, DE-exposed mice had significantly elevated mRNA and protein levels of hepatic 12-lipoxygenase (12-LO). Interestingly, DE-exposed mice showed markedly reduced fecal acetate levels that significantly associated with lipids and cecal microbiome. A direct effect of short chain fatty acids on hepatocytes was observed after treatment of HepG2 cells with whole DE particles (DEP) together with acetate, which significantly inhibited 12-LO mRNA expression as compared to DEP alone. In conclusion, DE inhalation led to marked alterations in cecal microbiota and fecal acetate, which associated with liver 9- and 13-HODEs as well as plasma cholesterol and TG. Acetate may exert a protective role against the pro-oxidative effects induced by DE exposure. Additional work is required to determine the mechanisms how changes in gut microbiota could lead to pro-oxidative effects in the liver, hepatic steatosis and dyslipidemia, and whether those include the production of acetate in the intestines.

Metagenomics Versus Metatranscriptomics of the Murine Gut Microbiome for Assessing Microbial Metabolism During Inflammation.

Shotgun metagenomics studies have improved our understanding of microbial population dynamics and have revealed significant contributions of microbes to gut homeostasis. They also allow in silico inference of the metagenome. While they link the microbiome with metabolic abnormalities associated with disease phenotypes, they do not capture microbial gene expression patterns that occur in response to the multitude of stimuli that constantly ambush the gut environment. Metatranscriptomics closes that gap, but its implementation is more expensive and tedious. We assessed the metabolic perturbations associated with gut inflammation using shotgun metagenomics and metatranscriptomics. Shotgun metagenomics detected changes in abundance of bacterial taxa known to be SCFA producers, which favors gut homeostasis. Bacteria in the phylum Firmicutes were found at decreased abundance, while those in phyla Bacteroidetes and Proteobacteria were found at increased abundance. Surprisingly, inferring the coding capacity of the microbiome from shotgun metagenomics data did not result in any statistically significant difference, suggesting functional redundancy in the microbiome or poor resolution of shotgun metagenomics data to profile bacterial pathways, especially when sequencing is not very deep. Obviously, the ability of metatranscriptomics libraries to detect transcripts expressed at basal (or simply low) levels is also dependent on sequencing depth. Nevertheless, metatranscriptomics informed about contrasting roles of bacteria during inflammation. Functions involved in nutrient transport, immune suppression and regulation of tissue damage were dramatically upregulated, perhaps contributed by homeostasis-promoting bacteria. Functions ostensibly increasing bacteria pathogenesis were also found upregulated, perhaps as a consequence of increased abundance of Proteobacteria. Bacterial protein synthesis appeared downregulated. In summary, shotgun metagenomics was useful to profile bacterial population composition and taxa relative abundance, but did not inform about differential gene content associated with inflammation. Metatranscriptomics was more robust for capturing bacterial metabolism in real time. Although both approaches are complementary, it is often not possible to apply them in parallel. We hope our data will help researchers to decide which approach is more appropriate for the study of different aspects of the microbiome.

Long-Term Effects of Amendment with Olive Mill Wastewater on Soil Chemical Properties, Microbial Community, and Olive Tree Vegetative and Productive Activities

The long-term effects of the olive mill wastewater (OMWW) spreading on soil chemical properties, microbial community, and olive tree parameters have been far poorly investigated. Therefore, this study aims to evaluate the effect of OMWW application on an olive orchard, and samples were collected at two different depths (0–20 cm and 20–40 cm) and 14 days, one year and two years from the end of the OMWW spreading on soil chemical characteristics and soil microbial structures. Variations of soil chemical parameters (pH, salinity, available P, and water-extractable organic C) were observed particularly at 14 days after spreading at both depths. All these parameters reached similar values to the soil after two years, except for available phosphorus. Firmicutes, Proteobacteria, and Actinobacteria are the most abundant phyla: only Firmicutes were negatively affected by the OMWW spreading after 14 days, suggesting that Gram-positive bacteria were probably negatively influenced by the addition of OMWW. The abundance of bacterial taxa in the soil is restored along time, except for the decrease of Firmicutes. This evidence suggests that the OMWW spreading in the long term does not affect the endemic soil bacterial community of the olive grove, as well as leaf net photosynthesis, the olive tree vegetative activity, yield, and fruits characteristics.

Comparative Metagenomic and Metabolomic Profiling of Rhizospheres of Panax notoginseng Grown under Forest and Field Conditions

The present study investigated the potential changes in the structure of bacterial communities and their functional profiles in the rhizospheres of Panax notoginseng cultivated under field (CK) and pine forest conditions (T). The rhizospheres of two-year-old P. notoginseng plants were used to extract DNA for metagenomic sequencing and metabolites for metabolomic profiling. The results revealed a higher root weight (p < 0.05) in plants grown under the forest than CK. The rhizospheric bacterial community comprised mainly three dominant phyla including Acidobacteria, Proteobacteria, and Candidatus rokubacteria which accounted for 75% of the total microbial population. Among them, Acidobacteria was the most abundant bacterial taxa, accounting for 42.4% and 40.4% of the total populations in CK and T, respectively. Relative abundances of bacterial genera revealed that Bradyrhizobium, Candidatus koribacter and Edaphobacter, were the dominant genera in both groups. Comparatively, a higher Proteobacteria to Acidobacteria ratio was observed in forest rhizospheres than in field conditions. Candidatus Rokubacteria and Candidatus nitrostelea were identified as biomarker taxa in forest rhizospheres, while the same could be said for taxa belonging to betaproteobacteria and gammaproteobacteria, Burkholderiales and Verrucomicrobia for field rhizospheres. No differential metabolite contents were observed between the two rhizosphere groups, indicating no adverse effects of P. notoginseng cultivation on the soil quality under forest plantation.

Application of Bacillus subtilis NCD-2 can suppress cotton verticillium wilt and its effect on abundant and rare microbial communities in rhizosphere

Bacillus subtilis NCD-2 (BS) shows prominent biological control for cotton verticillium wilt (CVW). However, it is unknown whether the effects on the abundant and rare microbial communities in rhizosphere after application of BS. Therefore, we investigated the effects of BS treatment on the suppression of CVW and the microbial community structure in rhizosphere. BS treatment successfully suppressed CVW, achieving a control effect of 61.60%, and cotton yield increased by 6.07% compared with blank control. Moreover, application of BS resulted in 28.17%, 18.63%, and 5.08% increases in plant fresh weight, dry weight, and number of branches, respectively. However, the populations of Verticillium dahliae in rhizosphere did not decrease by BS treatment. Microbial diversity analysis showed that soil bacterial and fungal diversities were increased under BS treatment. Principal component analyses revealed that BS had significantly effect on the abundant and rare microbial communities. Higher abundances of Acidobacteria, Chloroflexi, and Planctomycetes were observed among abundant bacterial taxa in the BS treatment. Furthermore, the abundances of Arenimonas, Hydrogenophaga, Chaetomium, Aspergillus, Nectria, Psathyrella, Conocybe, and Chrysosporium were also significantly higher than those in blank control. Redundancy analysis indicated that the microbial communities structure in BS treatment were positively related to ammonium nitrogen (NH4+-N), inorganic phosphorus (IP), and pH, but negatively to nitrate nitrogen (NO3–-N), AK, and organic matter (OM). These research results may offer theoretical bases for comprehensive the mechanism of ecological prevention and control CVW by application of BS.

Interplay Between Class II HLA Genotypes and the Microbiome and Immune Phenotypes in Individuals With PTEN Hamartoma Tumor Syndrome.

Illumina sequencing of bacterial and fungal microbes was carried out on patient-donated fecal samples in a cohort of 67 patients with pathogenic germline PTEN mutations, including 41 individuals with autoimmunity and/or phenotypes consistent with immune dysregulation (cases) and 26 individuals without (controls). From these data, we measured differences in alpha and beta diversity between cases and controls and identified differentially abundant bacterial and fungal taxa using phyloseq and MicrobiomeSeq packages in R. We analyzed correlations between these taxa and specific HLA genotypes, along with correlations between HLA diversity and microbial diversity, by conducting high-resolution HLA genotyping at four class II loci (DRB1, DRB345, DQA1, and DQB1). We found that alpha diversity distributions for both bacterial and fungal genera were statistically different between cases and controls. We identified differentially abundant bacterial and fungal taxa between cases and controls. Network analysis of differentially abundant bacterial taxa revealed some co-varying bacterial genera. We additionally found significant correlations between certain HLA genotypes and certain taxa and significant correlations between HLA diversity and alpha diversity. PTEN-associated immune phenotypes might be influenced by the gut microbiome, and class II HLA molecules, in part, crosstalk with the gut microbiome. These preliminary observations should lay the groundwork for future studies to ultimately derive clinical measures, which could use gut microbiome and HLA molecule biomarkers to predict, and perhaps prevent, immunity and inflammation in patients predisposed to cancer because of germline PTEN mutations.

Edge effects and spatial degradation process in highly fragmented grassland – impact on soil microbial community

Patchy degradation is a typical characteristic of grassland degradation. However, little is known about the responses of soil microbial community composition and richness to patchy degradation process, although soil microbes play important roles in the functioning of terrestrial ecosystems. Further, there is always a transitional area of vegetation between non-degraded and degraded patches (i.e. ecotone), but the characteristics of soil microbial communities at ecotone are not well understood. Here, we investigated spatial patterns of soil microbial composition and richness from non-degraded to degraded patch in a patchy degraded grassland of Northern China. The results showed that bacterial and fungal richness had contrast patterns during patchy degradation process. Bacterial richness increased while fungal richness decreased from non-degraded to degraded patch. Notably, soil bacteria had significant edge effects, characterized by more abundant bacterial taxa at ecotone compared with non-degraded and degraded patches, which was attributable to the release of competition from the lower dominant phylum-Actinobacteria abundance. Moreover, the relative abundance of rare taxa for bacteria and fungi consistently decreased during patchy degradation process, indicating a reduction of ecosystem function. Relative abundance of soil microbial rare taxa could be a good ecological indicator in responding to grassland degradation. Overall, our study revealed the spatial patterns of soil microbial community during patchy degradation process and the microbial characteristics at ecotone, which is crucial for mechanistic understanding of grassland degradation process, and also providing a theoretical basis for the development of grassland restoration strategy.

Predicting the Presence and Abundance of Bacterial Taxa in Environmental Communities through Flow Cytometric Fingerprinting.

ABSTRACTMicrobiome management research and applications rely on temporally resolved measurements of community composition. Current technologies to assess community composition make use of either cultivation or sequencing of genomic material, which can become time-consuming and/or laborious in case high-throughput measurements are required. Here, using data from a shrimp hatchery as an economically relevant case study, we combined 16S rRNA gene amplicon sequencing and flow cytometry data to develop a computational workflow that allows the prediction of taxon abundances based on flow cytometry measurements. The first stage of our pipeline consists of a classifier to predict the presence or absence of the taxon of interest, with yielded an average accuracy of 88.13% ± 4.78% across the top 50 operational taxonomic units (OTUs) of our data set. In the second stage, this classifier was combined with a regression model to predict the relative abundances of the taxon of interest, which yielded an average R2 of 0.35 ± 0.24 across the top 50 OTUs of our data set. Application of the models to flow cytometry time series data showed that the generated models can predict the temporal dynamics of a large fraction of the investigated taxa. Using cell sorting, we validated that the model correctly associates taxa to regions in the cytometric fingerprint, where they are detected using 16S rRNA gene amplicon sequencing. Finally, we applied the approach of our pipeline to two other data sets of microbial ecosystems. This pipeline represents an addition to the expanding toolbox for flow cytometry-based monitoring of bacterial communities and complements the current plating- and marker gene-based methods.IMPORTANCE Monitoring of microbial community composition is crucial for both microbiome management research and applications. Existing technologies, such as plating and amplicon sequencing, can become laborious and expensive when high-throughput measurements are required. In recent years, flow cytometry-based measurements of community diversity have been shown to correlate well with those derived from 16S rRNA gene amplicon sequencing in several aquatic ecosystems, suggesting that there is a link between the taxonomic community composition and phenotypic properties as derived through flow cytometry. Here, we further integrated 16S rRNA gene amplicon sequencing and flow cytometry survey data in order to construct models that enable the prediction of both the presence and the abundances of individual bacterial taxa in mixed communities using flow cytometric fingerprinting. The developed pipeline holds great potential to be integrated into routine monitoring schemes and early warning systems for biotechnological applications.

Analyzing Type 2 Diabetes Associations with the Gut Microbiome in Individuals from Two Ethnic Backgrounds Living in the Same Geographic Area.

It is currently unknown whether associations between gut microbiota composition and type 2 diabetes (T2D) differ according to the ethnic background of individuals. Thus, we studied these associations in participants from two ethnicities characterized by a high T2D prevalence and living in the same geographical area, using the Healthy Life In Urban Settings (HELIUS) study. We included 111 and 128 T2D participants on metformin (Met-T2D), 78 and 49 treatment-naïve T2D (TN-T2D) participants, as well as a 1:1 matched group of healthy controls from, respectively, African Surinamese and South-Asian Surinamese descent. Fecal microbiome profiles were obtained through 16S rRNA gene sequencing. Univariate and machine learning analyses were used to explore the associations between T2D and the composition and function of the gut microbiome in both ethnicities, comparing Met-T2D and TN-T2D participants to their respective healthy control. We found a lower α-diversity for South-Asian Surinamese TN-T2D participants but no significant associations between TN-T2D status and the abundance of bacterial taxa or functional pathways. In African Surinamese participants, we did not find any association between TN-T2D status and the gut microbiome. With respect to Met-T2D participants, we identified several bacterial taxa and functional pathways with a significantly altered abundance in both ethnicities. More alterations were observed in South-Asian Surinamese. Some altered taxa and pathways observed in both ethnicities were previously related to metformin use. This included a strong negative association between the abundance of Romboutsia and Met-T2D status. Other bacterial taxa were consistent with previous observations in T2D, including reduced butyrate producers such as Anaerostipes hadrus. Hence, our results highlighted both shared and unique gut microbial biomarkers of Met-T2D in individuals from different ethnicities but living in the same geographical area. Future research using higher-resolution shotgun sequencing is needed to clarify the role of ethnicity in the association between T2D and gut microbiota composition.

Anti-Microbiota Vaccines Modulate the Tick Microbiome in a Taxon-Specific Manner.

The lack of tools for the precise manipulation of the tick microbiome is currently a major limitation to achieve mechanistic insights into the tick microbiome. Anti-tick microbiota vaccines targeting keystone bacteria of the tick microbiota alter tick feeding, but their impact on the taxonomic and functional profiles of the tick microbiome has not been tested. In this study, we immunized a vertebrate host model (Mus musculus) with live bacteria vaccines targeting keystone (i.e., Escherichia-Shigella) or non-keystone (i.e., Leuconostoc) taxa of tick microbiota and tested the impact of bacterial-specific antibodies (Abs) on the structure and function of tick microbiota. We also investigated the effect of these anti-microbiota vaccines on mice gut microbiota composition. Our results showed that the tick microbiota of ticks fed on Escherichia coli-immunized mice had reduced Escherichia-Shigella abundance and lower species diversity compared to ticks fed on control mice immunized with a mock vaccine. Immunization against keystone bacteria restructured the hierarchy of nodes in co-occurrence networks and reduced the resistance of the bacterial network to taxa removal. High levels of E. coli-specific IgM and IgG were negatively correlated with the abundance of Escherichia-Shigella in tick microbiota. These effects were not observed when Leuconostoc was targeted with vaccination against Leuconostoc mesenteroides. Prediction of functional pathways in the tick microbiome using PICRUSt2 revealed that E. coli vaccination reduced the abundance of lysine degradation pathway in tick microbiome, a result validated by qPCR. In contrast, the gut microbiome of immunized mice showed no significant alterations in the diversity, composition and abundance of bacterial taxa. Our results demonstrated that anti-tick microbiota vaccines are a safe, specific and an easy-to-use tool for manipulation of vector microbiome. These results guide interventions for the control of tick infestations and pathogen infection/transmission.