Biology subjects

Bisanz, J. E.

Publications and source records attributed to Bisanz, J. E..

14 recordsLinked to original sources

bioRxiv2026

Dietary fiber-type-specific gut microbiome preconditioning drives differential susceptibility to sporadic colon cancer development

Background: Dietary fiber intake is broadly associated with reduced colorectal cancer (CRC) risk, yet processed fiber supplements exert inconsistent and occasionally opposing effects on colon tumorigenesis. How structurally distinct dietary fibers differentially shape the gut microbiome-metabolome axis to influence carcinogenic susceptibility remains poorly understood. Objective: To determine whether structurally distinct dietary fibers differentially modulate colon tumor development and characterize the underlying gut microbiome and metabolic mechanisms. Design: Four-week-old male mice were maintained on low-fiber control or fiber-supplemented diets (7.5%w/w: cellulose, agar, pectin, or inulin) for 28 weeks and received eight intraperitoneal azoxymethane injections (AOM; 7.5 mg/kg). Temporal fecal microbiomes were profiled by 16S-rRNA sequencing, cecal metabolites quantified by H-NMR spectroscopy, and microbiome-metabolome interactions assessed by co-occurrence networks. Results: Refined inulin supplementation markedly elevated colon tumor incidence (~70%) compared with all other groups (~10-20%), and cecal extracts from inulin-fed mice promoted HT29 cancer-cell proliferation. Longitudinal microbiome profiling identified 36 inulin-specific microbial signatures converging on two axes: depletion of SCFAs and fermentation cross-feeding taxa and reprogramming of amino acid and nitrogen metabolism. Metabolomics confirmed succinate, fumarate, and lactate accumulation alongside propionate and amino acid depletion exclusively under AOM conditions, with no differences in carcinogen-naive animals. Two stable co-occurrence hubs were identified exclusively in AOM-treated animals, structurally integrating both functional axes. Conclusion: Inulin supplementation preconditions the gut microbiome toward functional vulnerability, characterized by disrupted fermentation throughput and reprogrammed amino acid metabolism, that is amplified by carcinogen exposure into a tumor-promoting ecosystem, providing a mechanistic basis for the disproportionately higher tumor prevalence in inulin-fed animals.

microbiology↗

bioRxiv2026

Human Gut Bacteria Convert Endogenous Steroids into Host Cortisol Shuttle Inhibitors

11{beta}-hydroxysteroid dehydrogenase 2 (HSD11B2) protects the mineralocorticoid receptor from glucocorticoid overstimulation by inactivating cortisol. HSD11B2 inhibition can drive receptor overactivation and contribute to hypertension; however, endogenous inhibitors remain poorly defined. Glycyrrhetinic acid-like factors (GALFs) are steroid-like metabolites that inhibit HSD11B2. Given the capacity of gut bacteria to metabolize host steroids, we hypothesized that the gut microbiome could generate GALF-like inhibitors. Here, we identify two 11-oxygenated steroid metabolites that potently inhibit human HSD11B2 in colonic cells and organoids, enabling cortisol-dependent mineralocorticoid receptor activation. We identify gut bacteria and enzymes that produce these compounds and show that their levels are markedly reduced in antibiotic-treated humans. One metabolite is elevated during pregnancy, and both are higher in individuals with stage 2 hypertension-range blood pressure. These findings reveal a bacterial route to altered host cortisol signaling and suggest a potential link between microbiome-derived GALFs and blood pressure regulation.

microbiology↗

bioRxiv2026

Soilless system design impacts the diversity and composition of microbiota

Controlled environment agriculture (CEA), including soilless farming systems, is rapidly expanding as a strategy to improve food security and resource efficiency. However, limited information is available on how different soilless farming system designs influence microbial populations relevant to plant health and food safety. This study investigated the effects of soilless growing systems and growing season on aerobic plate counts (APC) and bacterial community composition in nutrient solution and on bok choy (Brassica rapa subsp. chinensis) leaves. Five soilless systems, deep water culture (DWC), Kratky (KR), nutrient film technique (NFT), ebb and flow (EF), and drip irrigation (DI), were evaluated across fall and spring growing seasons. Soilless system type significantly influenced APC in nutrient solution, with the DI system consistently exhibiting the highest counts across both seasons. Increased nutrient solution pH was negatively associated with APC, whereas temperature did not significantly affect bacterial concentrations. In contrast, APC on bok choy leaves were not significantly influenced by system type, season, pH, or temperature. Bacterial community composition in nutrient solution was strongly shaped by season, soilless system type, sampling day, and temperature, as determined by 16S rRNA V4 amplicon sequencing. Microbial diversity varied primarily by system type, with limited influence of pH or temperature. Core microbiota analysis identified a small subset of taxa that persisted across systems and seasons, with Acidovorax detected in all samples. We found that soilless system design and seasonal conditions strongly influence microbial load and community structure in nutrient solution, providing a foundation for developing system-specific microbial management strategies. ImportanceUnderstanding factors that shape microbial community composition in soilless farming systems is critical for optimizing plant health, system productivity, and food safety. Microbial communities influence nutrient cycling, biofilm formation, and pathogen survival, all of which affect the ecological stability and performance of these systems. By identifying how system design, seasonal variation, and environmental conditions influence shifts in microbial populations, targeted strategies can be developed to promote beneficial microorganisms and mitigate risks associated with pathogens. This knowledge contributes to advancing safe and sustainable soilless farming practices that can meet the growing demand for fresh produce grown in controlled environments.

microbiology↗

bioRxiv2024

Coordinated variation in the immune systems and microbiomes of healthy humans is linked to tonic interferon states

Human immune systems are highly variable, with most variation attributable to non-genetic sources. The gut microbiome crucially shapes the immune system; however, its relationship with the baseline immune states of healthy humans remains incompletely understood. Therefore, we performed multi-omic profiling of 110 healthy participants through the ImmunoMicrobiome study. A factor-based integrative approach identified coordinated variation, revealing that the tonic interferon response was amongst the most variable immune features in healthy participants. Microbiome composition, pathways, and stool metabolites varied concomitantly with interferon response pathways. Distinct transcriptional programs involving inflammation and TGF-{beta} in SIGLEC-1high monocytes and CD69high activated MAIT and NK cells were representative of these programs. Our study provides extensive data to examine the relationship between the immune states and microbiomes of healthy individuals at steady state, which paves the way for delineating inter-individual differences relevant for disease susceptibility and responses to therapy.

immunology↗

bioRxiv2024

StrainR2 accurately deconvolutes strain-level abundances in synthetic microbial communities

BackgroundSynthetic microbial communities offer an opportunity to conduct reductionist research in tractable model systems. However, deriving abundances of highly related strains within these communities is currently unreliable. 16S rRNA gene sequencing does not resolve abundance at the strain level, standard methods for analysis of shotgun metagenomic sequencing do not account for ambiguous mapping between closely related strains, and other methods such as quantitative PCR (qPCR) scale poorly and are resource prohibitive for complex communities. We present StrainR2, which utilizes shotgun metagenomic sequencing paired with a k-mer-based normalization strategy to provide high accuracy strain-level abundances for all members of a synthetic community, provided their genomes. ResultsBoth in silico, and using sequencing data derived from gnotobiotic mice colonized with a synthetic fecal microbiota, StrainR2 resolves strain abundances with greater accuracy than other tools utilizing shotgun metagenomic sequencing reads and can resolve complex mixtures of highly related strains. Through experimental validation and benchmarking, we demonstrate that StrainR2s accuracy is comparable to that of qPCR on a subset of strains resolved using absolute quantification. Further, it is capable of scaling to communities of hundreds of strains and efficiently utilizes memory being capable of running both on personal computers and high-performance computing nodes. ConclusionsUsing shotgun metagenomic sequencing reads is a viable method for determining accurate strain-level abundances in synthetic communities using StrainR2.

bioinformatics↗

bioRxiv2023

Microbiome single cell atlases generated with a commercial instrument

Single cell sequencing is useful for resolving complex systems into their composite cell types and computationally mining them for unique features that are masked in pooled sequencing. However, while commercial instruments have made single cell analysis widespread for mammalian cells, analogous tools for microbes are limited. Here, we present EASi-seq (Easily Accessible Single microbe sequencing). By adapting the single cell workflow of the commercial Mission Bio Tapestri instrument, this method allows for efficient sequencing of individual microbes genomes. EASi-seq allows thousands of microbes to be sequenced per run and, as we show, can generate detailed atlases of human and environmental microbiomes. The ability to capture large shotgun genome datasets from thousands of single microbes provides new opportunities in discovering and analyzing species subpopulations. To facilitate this, we develop a companion bioinformatic pipeline that clusters genome by sequence similarity, improving whole genome assembly, strain identification, taxonomic classification, and gene annotation. In addition, we demonstrate integration of metagenomic contigs with the EASi-seq datasets to reduce capture bias and increase coverage. Overall, EASi-seq enables high quality single cell genomic data for microbiome samples using an accessible workflow that can be run on a commercially available platform.

bioengineering↗

bioRxiv2022

Mild SARS-CoV-2 infection results in long-lasting microbiota instability

Viruses targeting mammalian cells can indirectly alter the gut microbiota, potentially compounding their phenotypic effects. Multiple studies have observed a disrupted gut microbiota in severe cases of SARS-CoV-2 infection that require hospitalization. Yet, despite demographic shifts in disease severity resulting in a large and continuing burden of non-hospitalized infections, we still know very little about the impact of mild SARS-CoV-2 infection on the gut microbiota in the outpatient setting. To address this knowledge gap, we longitudinally sampled 14 SARS-CoV-2 positive subjects who remained outpatient and 4 household controls. SARS-CoV-2 cases exhibited a significantly less stable gut microbiota relative to controls, as long as 154 days after their positive test. These results were confirmed and extended in the K18-hACE2 mouse model, which is susceptible to SARS-CoV-2 infection. All of the tested SARS-CoV-2 variants significantly disrupted the mouse gut microbiota, including USA-WA1/2020 (the original variant detected in the United States), Delta, and Omicron. Surprisingly, despite the fact that the Omicron variant caused the least severe symptoms in mice, it destabilized the gut microbiota and led to a significant depletion in Akkermansia muciniphila. Furthermore, exposure of wild-type C57BL/6J mice to SARS-CoV-2 disrupted the gut microbiota in the absence of severe lung pathology. IMPORTANCETaken together, our results demonstrate that even mild cases of SARS-CoV-2 can disrupt gut microbial ecology. Our findings in non-hospitalized individuals are consistent with studies of hospitalized patients, in that reproducible shifts in gut microbial taxonomic abundance in response to SARS-CoV-2 have been difficult to identify. Instead, we report a long-lasting instability in the gut microbiota. Surprisingly, our mouse experiments revealed an impact of the Omicron variant, despite producing the least severe symptoms in genetically susceptible mice, suggesting that despite the continued evolution of SARS-CoV-2 it has retained its ability to perturb the intestinal mucosa. These results will hopefully renew efforts to study the mechanisms through which Omicron and future SARS-CoV-2 variants alter gastrointestinal physiology, while also considering the potentially broad consequences of SARS-CoV-2-induced microbiota instability for host health and disease.

microbiology↗

bioRxiv2022

Systems biology illuminates alternative metabolic niches in the human gut microbiome

Human gut bacteria perform diverse metabolic functions with consequences for host health. The prevalent and disease-linked Actinobacterium Eggerthella lenta performs several unusual chemical transformations, but it does not metabolize sugars and its core growth strategy remains unclear. To obtain a comprehensive view of the metabolic network of E. lenta, we generated several complementary resources: defined culture media, metabolomics profiles of strain isolates, and a curated genome-scale metabolic reconstruction. Stable isotope-resolved metabolomics revealed that E. lenta uses acetate as a key carbon source while catabolizing arginine to generate ATP, traits which could be recapitulated in silico by our updated metabolic model. We compared these in vitro findings with metabolite shifts observed in E. lenta-colonized gnotobiotic mice, identifying shared signatures across environments and highlighting catabolism of the host signaling metabolite agmatine as an alternative energy pathway. Together, our results elucidate a distinctive metabolic niche filled by E. lenta in the gut ecosystem.

microbiology↗

bioRxiv2021

Human gut bacteria produce TH17-modulating bile acid metabolites

The microbiota plays a pivotal role in gut immune homeostasis. Bacteria influence the development and function of host immune cells, including T helper cells expressing interleukin-17a (TH17 cells). We previously reported that the bile acid metabolite 3-oxolithocholic acid (3-oxoLCA) inhibits TH17 cell differentiation1. While it was suggested that gut-residing bacteria produce 3-oxoLCA, the identity of such bacteria was unknown. Furthermore, it was not clear whether 3-oxoLCA and other immunomodulatory bile acids are associated with gut inflammatory pathologies in humans. Using a high-throughput screen, we identified human gut bacteria and corresponding enzymes that convert the secondary bile acid lithocholic acid into 3-oxoLCA as well as the abundant gut metabolite isolithocholic acid (isoLCA). Like 3-oxoLCA, isoLCA suppressed TH17 differentiation by inhibiting ROR{gamma}t (retinoic acid receptor-related orphan nuclear receptor {gamma}t), a key TH17 cell-promoting transcription factor. Levels of both 3-oxoLCA and isoLCA and the 3-hydroxysteroid dehydrogenase (3-HSDH) genes required for their biosynthesis were significantly reduced in patients with inflammatory bowel diseases (IBD). Moreover, levels of these bile acids were inversely correlated with expression of TH17 cell-associated genes. Overall, our data suggest that bacterially produced TH17 cell-inhibitory bile acids may reduce the risk of autoimmune and inflammatory disorders such as IBD.

immunology↗

bioRxiv2020

Differences in the gut microbiomes of distinct ethnicities within the same geographic area are linked to host metabolic health

BackgroundThe human gut microbiota exhibits marked variation around the world, which has been attributed to dietary intake and other environmental factors. However, the degree to which ethnicity-associated differences in gut microbial community structure and function are maintained following immigration or in the context of metabolic disease is poorly understood. ResultsWe conducted a multi-omic study of 46 lean and obese East Asian and White participants living in the San Francisco Bay Area. 16S rRNA gene sequencing revealed significant differences between ethnic groups in bacterial richness and community structure. White individuals were enriched for the mucin-degrading Akkermansia muciniphila. East Asian participants had increased levels of multiple bacterial phyla, fermentative pathways detected by metagenomics, and the short-chain fatty acid end products acetate, propionate, and isobutyrate. Differences in the gut microbiota between the East Asian and White groups could not be explained by reported dietary intake, were more pronounced in lean individuals, and were associated with current geographical location. Microbiome transplantations into germ-free mice confirmed that the differences in the gut microbiota of the East Asian and White individuals we analyzed are independent of diet and that they differentially impact host body weight and adiposity in genetically identical mouse recipients. ConclusionsThe reported findings emphasize the utility of studying diverse ethnic groups within a defined geographical location and provide a starting point for dissecting the mechanisms contributing to the complex interactions between the gut microbiome and ethnicity-associated lifestyle, demographic, metabolic, and genetic factors.

microbiology↗

bioRxiv2019

Set1/COMPASS repels heterochromatin invasion at euchromatic sites by disrupting Suv39/Clr4 activity and nucleosome stability

Protection of euchromatin from invasion by gene-repressive heterochromatin is critical for cellular health and viability. In addition to constitutive loci such as pericentromeres and subtelomeres, heterochromatin can be found interspersed in gene-rich euchromatin, where it regulates gene expression pertinent to cell fate. While hetero- and euchromatin are globally poised for mutual antagonism, the mechanisms underlying precise spatial encoding of heterochromatin containment within euchromatic sites remain opaque. We investigated ectopic heterochromatin invasion by manipulating the fission yeast mating type locus boundary, using a single-cell spreading reporter system. We found that heterochromatin repulsion is locally encoded by Set1/COMPASS on certain actively transcribed genes and that this protective role is most prominent at heterochromatin islands, small domains interspersed in euchromatin that regulate cell fate specifiers. Interestingly, this effect can be gene orientation dependent. Sensitivity to invasion by heterochromatin, surprisingly, is not dependent on Set1 altering overall gene expression levels. At least two independent pathways direct this Set1 activity-inhibition of catalysis by Suv39/Clr4 and disruption of nucleosome stability. Taken together, these results describe a mechanism for spatial encoding of euchromatic signals that repel heterochromatin invasion.

genetics↗

bioRxiv2019

Diet induces reproducible alterations in the mouse and human gut microbiome

The degree to which diet reproducibly alters the human and mouse gut microbiota remains unclear. Here, we focus on the consumption of a high-fat diet (HFD), one of the most frequently studied dietary interventions in mice. We employed a subject-level meta-analysis framework for unbiased collection and analysis of publicly available 16S rRNA gene and metagenomic sequencing data from studies examining HFD in rodent models. In total, we re-analyzed 27 studies, 1101 samples, and 106 million reads mapping to 16S rRNA gene sequences. We report reproducible changes in gut microbial community structure both within and between studies, including a significant increase in the Firmicutes phylum and decrease in the Bacteroidetes phylum; however, reduced alpha diversity is not a consistent feature of HFD. Finer taxonomic analysis revealed that the strongest signal of HFD on microbiota species composition is Lactococcus spp., which we demonstrate is a common dietary contaminant through the molecular testing of dietary ingredients, culturing, microscopy, and germ-free mouse experiments. After in silico removal of Lactococcus spp., we employed machine learning to define a unique operational taxonomic unit (OTU)-based signature capable of predicting the dietary intake of mice and demonstrate that phylogenetic and gene-family transformations of this model are capable of accurately predicting human samples in controlled feeding settings (area under the receiver operator curve = 0.75 and 0.88 respectively). Together, these results demonstrate the utility of microbiome meta-analyses in identifying robust bacterial signals for mechanistic studies and creates a framework for the routine meta-analysis of microbiome studies in preclinical models.

microbiology↗

bioRxiv2018

The Genetic Basis for the Cooperative Bioactivation of Plant Lignans by a Human Gut Bacterial Consortium

Plant-derived lignans, consumed daily by most individuals, are inversely associated with breast cancer; however, their bioactivity is only exerted following gut bacterial conversion to enterolignans. Here, we dissect a four-species bacterial consortium sufficient for all four chemical reactions in this pathway. Comparative genomics and heterologous expression experiments identified the first enzyme in the pathway. Transcriptional profiling (RNAseq) independently identified the same gene and linked a single genomic locus to each of the remaining biotransformations. Remarkably, we detected the complete bacterial lignan metabolism pathway in the majority of human gut microbiomes. Together, these results are an important step towards a molecular genetic understanding of the gut bacterial bioactivation of lignans and other plant secondary metabolites to downstream metabolites relevant to human disease.\n\nOne Sentence SummaryBess et al. provide a first step towards elucidating the molecular genetic basis for the cooperative gut bacterial bioactivation of plant lignans, consumed daily by most individuals, to phytoestrogenic enterolignans.

microbiology↗

bioRxiv2018

Illuminating the microbiome’s dark matter: a functional genomic toolkit for the study of human gut Actinobacteria

Despite the remarkable evolutionary and metabolic diversity found within the human microbiome, the vast majority of mechanistic studies focus on two phyla: the Bacteroidetes and the Proteobacteria. Generalizable tools for studying the other phyla are urgently needed in order to transition microbiome research from a descriptive to a mechanistic discipline. Here, we focus on the Coriobacteriia class within the Actinobacteria phylum, detected in the distal gut of 90% of adult individuals around the world, which have been associated with both chronic and infectious disease, and play a key role in the metabolism of pharmaceutical, dietary, and endogenous compounds. We established, sequenced, and annotated a strain collection spanning 14 genera, 8 decades, and 3 continents, with a focus on Eggerthella lenta. Genome-wide alignments revealed inconsistencies in the taxonomy of the Coriobacteriia for which amendments have been proposed. Re-sequencing of the E. lenta type strain from multiple culture collections and our laboratory stock allowed us to identify errors in the finished genome and to identify point mutations associated with antibiotic resistance. Analysis of 24 E. lenta genomes revealed an \"open\" pan-genome suggesting we still have not fully sampled the genetic and metabolic diversity within this bacterial species. Consistent with the requirement for arginine during in vitro growth, the core E. lenta genome included the arginine dihydrolase pathway. Surprisingly, glycolysis and the citric acid cycle was also conserved in E. lenta despite the lack of evidence for carbohydrate utilization. We identified a species-specific marker gene and validated a multiplexed quantitative PCR assay for simultaneous detection of E. lenta and specific genes of interest from stool samples. Finally, we demonstrated the utility of comparative genomics for linking variable genes to strain-specific phenotypes, including antibiotic resistance and drug metabolism. To facilitate the continued functional genomic analysis of the Coriobacteriia, we have deposited the full collection of strains in DSMZ and have written a general software tool (ElenMatchR) that can be readily applied to novel phenotypic traits of interest. Together, these tools provide a first step towards a molecular understanding of the many neglected but clinically-relevant members of the human gut microbiome.

microbiology↗