Biology subjects

Leventhal, G. E.

Publications and source records attributed to Leventhal, G. E..

9 recordsLinked to original sources

bioRxiv2023

Stratification of human gut microbiomes by succinotype is associated with inflammatory bowel disease status

The human gut microbiome produces and consumes a variety of compounds that interact with the host and impact health. Succinate is of particular interest as it intersects with both host and microbiome metabolism. However, which gut bacteria are most responsible for the consumption of intestinal succinate is poorly understood. Here, we build upon an enrichment-based whole fecal sample culturing approach and identify two main bacterial taxa that are responsible for succinate consumption in the human intestinal microbiome, Phascolarctobacterium and Dialister. These two taxa have the hallmark of a functional guild and are strongly mutual exclusive across over 20,000 fecal samples in nearly 100 cohorts and can thus be used to assign a robust succinotype to an individual. We show that they differ with respect to their rate of succinate consumption in vitro and that this is associated with higher concentrations of fecal succinate. Finally, individuals suffering from inflammatory bowel disease (IBD) are more likely to have the Dialister succinotype compared to healthy subjects. The functionally meaningful classification of human intestinal microbiota based on succinotype thus builds a bridge between microbiome function and IBD pathophysiology related to succinate.

microbiology↗

bioRxiv2023

A flexible high-throughput cultivation protocol to assess the response of individuals' gut microbiota to diet-, drug-, and host-related factors

Anaerobic cultivation of fecal microbiota is a promising approach to investigate how gut microbial communities respond to specific intestinal conditions and perturbations. Here, we describe a practical protocol using 96-deepwell plates to cultivate stool-derived gut microbiota. Our protocol addresses key challenges in high-throughput culturing, including a thorough assessment of the impact of gas phase on medium chemistry, a modular medium preparation process to enable testing of several conditions in parallel, a medium formulation designed to maximize the compositional similarity of fecal cultures with the donor microbiota, and the creation of a step-by-step protocol detailing all practical procedures from material preparation to sample handling for analyses. Finally, we validated the protocol by demonstrating that cultivated fecal microbiota responded similarly to dietary fibers (resistant dextrin, soluble starch) and drugs (ciprofloxacin, 5-fluorouracil) as reported in vivo. This high-throughput cultivation protocol can facilitate culture-dependent studies, accelerate the discovery of gut microbiota-diet-drug-host interactions, and pave the way to personalized and microbiota-centered interventions. MOTIVATIONThe human gut microbiota is a complex ecosystem unique to each individual. The extent of this diversity has limited our capacity to fully comprehend microbial dynamics that apply to the entire human population. To probe the response of donor-specific microbial communities to intestinal conditions or perturbations, in vitro cultivation of stool-derived gut microbiota can be employed. However, cultivating gut microbiota under strictly anaerobic conditions is commonly performed using individual gas-tight tubes, which is a highly time-consuming strategy that limits the number of conditions and donor microbiota that can be tested in parallel. A flexible high-throughput protocol to cultivate and test donor-specific gut microbiota is therefore required. Hence, we developed a robust procedure for cultivating stool-derived microbiota (and pure gut microbial cultures) in 96-deepwell plates within an anaerobic chamber.

microbiology↗

bioRxiv2023

Mapping gut bacteria into functional niches reveals the ecological structure of human gut microbiomes

Microbiomes are an essential contributor to the metabolic activity in the human gastrointestinal tract. The fermentation of otherwise indigestible nutritional components like dietary fibers relies on a complex interplay of metabolic pathways that are distributed across the individual bacteria. Yet, which of the bacteria are responsible for which parts of the distributed metabolism and how they should be grouped together is insufficiently understood. Here, we present the NicheMap, an approach to map the different bacterial taxa that make up the gut microbiome onto the different functional niches of microbial carbohydrate fermentation. Our approach uses in vitro measurements of bacterial growth and metabolic activity to identify which bacterial taxa are responsible for which metabolic function in the relevant complex context of whole human fecal microbiomes. We identified characteristic taxa selected for by a panel growth substrates representative of dietary components that are resistant to digestion by host enzymes. These characteristic taxa offer predictions of which bacteria are stimulated by the various components of human diet. We validated these predictions using microbiome data from a human nutritional supplementation study. We suggest a template of how bacterial taxonomic diversity is organized along the trophic cascade of intestinal carbohydrate fermentation. We anticipate that our results and our approach will provide a key contribution towards building a structure-function map for gut microbiomes. Having such a map on hand is an important step in moving the microbiome from a descriptive science to an interventional one.

microbiology↗

bioRxiv2021

Co-cultivation is a powerful approach to produce a robust functionally designed synthetic consortium as a live biotherapeutic product (LBP)

The successes of fecal microbiota transplants (FMT) have provided the necessary proof-of-concept for microbiome therapeutics. Because of the many risks and uncertainties associated with feces-based therapies, defined microbial consortia that modify the microbiome in a targeted manner have emerged as a promising safer alternative to FMT. The development of such live biotherapeutic products has important challenges, including the selection of appropriate strains and the production of the consortia at scale. Here, we report on an ecology and biotechnology-based approach to microbial consortium design that overcomes these issues. We designed a nine-strain consortium that emulates the central metabolic pathways of carbohydrate fermentation in the healthy human gut microbiota. We show that continuous co-culturing the bacteria produce a stable consortium whose activity is distinct from an equivalent mix of individually cultured strains. Further, we showed that our function-based consortium is as effective as FMT in counteracting dysbiosis in a dextran sodium sulfate mouse model of acute colitis. We propose that combining a bottom-up functional design with continuous co-cultivation is a powerful strategy to produce robust, functionally designed synthetic consortia for therapeutic use.

microbiology↗

bioRxiv2021

Interactions between strains govern the eco-evolutionary dynamics of microbial communities

Genomic data has revealed that genotypic variants of the same species, i.e., strains, coexist and are abundant in natural microbial communities. However, it is not clear if strains are ecologically equivalent, or if they exhibit distinct interactions and dynamics. Here, we address this problem by tracking 10 microbial communities from the pitcher plant Sarracenia purpurea in the laboratory for more than 300 generations. Using metagenomic sequencing, we reconstruct their dynamics over time and across scales, from distant phyla to closely related genotypes. We find that interactions between naturally occurring strains govern eco-evolutionary dynamics. Surprisingly, even fine-scale variants differing only by 100 base pairs can exhibit vastly different dynamics. We show that these differences may stem from ecological interactions in the communities, which are specific to strains, not species. Finally, by analyzing genomic differences between strains, we identify major functional hubs such as transporters, regulators, and carbohydrate-catabolizing enzymes, which might be the basis for strain-specific interactions. Our work shows that strains are the relevant level of diversity at which to study the long-term dynamics of microbiomes.

microbiology↗

bioRxiv2020

Novel integrative elements and genomic plasticity in ocean ecosystems

Horizontal gene transfer accelerates microbial evolution, promoting diversification and adaptation. The globally abundant marine cyanobacterium Prochlorococcus has a highly streamlined genome with frequent gene exchange reflected in its extensive pangenome. The source of its genomic variability, however, remains elusive since most cells lack the common mechanisms that enable horizontal gene transfer, including conjugation, transformation, plasmids and prophages. Examining 623 genomes, we reveal a diverse system of mobile genetic elements - cargo-carrying transposons we named tycheposons - that shape Prochlorococcus genomic plasticity. The excision and integration of tycheposons at seven tRNA genes drive the remodeling of larger genomic islands containing most of Prochlorococcus flexible genes. Most tycheposons carry genes important for niche differentiation through nutrient acquisition; others appear similar to phage parasites. Tycheposons are highly enriched in extracellular vesicles and phage particles in ocean samples, suggesting efficient routes for their dispersal, transmission and propagation. Supported by evidence for similar elements in other marine microbes, our work underpins the role of vesicle- and virus-mediated transfer of mobile genetic elements in the diversification and adaptation of microbes in dilute aquatic environments - adding a significant piece to the puzzle of what governs microbial evolution in the planets largest habitat.

microbiology↗

bioRxiv2019

Context-dependent dynamics lead to the assembly of functionally distinct pitcher-plant microbiomes

Niche construction through interspecific interactions can condition future community states on past ones. However, the extent to which such history dependency can steer communities towards functionally different states remains a subject of active debate. Using bacterial communities collected from wild pitchers of the carnivorous pitcher plant, Sarracenia purpurea, we tested the effects of history on composition and function across communities assembled in synthetic pitcher plant microcosms. We found that the diversity of assembled communities was determined by the diversity of the system at early, pre-assembly stages. Species composition was also contingent on early community states, not only because of differences in the species pool, but also because the same species had different dynamics in different community contexts. Importantly, compositional differences were proportional to differences in function, as profiles of resource use were strongly correlated with composition, despite convergence in respiration rates. Early differences in community structure can thus propagate to mature communities, conditioning their functional repertoire.

ecology↗

bioRxiv2018

Micro-scale ecology regulates particulate organic matter turnover in model marine microbial communities

The degradation of particulate organic matter in the ocean is a central process in the global carbon cycle, the mode and tempo of which is determined by the bacterial communities that assemble on particle surfaces. Although recent studies have shed light on the dynamics of community assembly on particles -which serve as hotspots of microbial activity in the ocean, the mapping from community composition to function, i.e. particle degradation, remains completely unexplored. Using a collection of marine bacteria cultured from different stages of succession on chitin micro-particles we found that the hydrolytic power of communities is highly dependent on community composition. Different particle degrading taxa -all of which were early successional species during colonization- displayed characteristic particle half-lives that differed by ~170 hours, comparable to the residence time of particles in the oceans mixed layer1. These half-lives were in general longer in multispecies communities, where the growth of obligate cross-feeders limited the ability of degraders to colonize and consume particles. Remarkably, above a certain critical initial ratio of cross-feeder to degrader cells, particle degradation was completely blocked along with the growth of all members of the community. We showed that this interaction occurred between a variety of strains of different taxonomic origins and that it only appears when bacteria interact with particles, suggesting a mechanism by which non-degrading secondary consumers occlude access to the particle resource. Overall, our results show that micro-scale community ecology on particle surfaces can have significant impact on carbon turnover in the ocean.

microbiology↗

bioRxiv2017

Directly Estimating Epidemic Curves From Genomic Data

Modern phylodynamic methods interpret an inferred phylogenetic tree as a partial transmission chain providing information about the dynamic process of transmission and removal (where removal may be due to recovery, death or behaviour change). Birth-death and coalescent processes have been introduced to model the stochastic dynamics of epidemic spread under common epidemiological models such as the SIS and SIR models, and are successfully used to infer phylogenetic trees together with transmission (birth) and removal (death) rates. These methods either integrate analytically over past incidence and prevalence to infer rate parameters, and thus cannot explicitly infer past incidence or prevalence, or allow such inference only in the coalescent limit of large population size. Here we introduce a particle filtering framework to explicitly infer prevalence and incidence trajectories along with phylogenies and epidemiological model parameters from genomic sequences and case count data in a manner consistent with the underlying birth-death model. After demonstrating the accuracy of this method on simulated data, we use it to assess the prevalence through time of the early 2014 Ebola outbreak in Sierra Leone.

epidemiology↗