Abstract

Microbial community assembly is a complex process shaped by multiple factors, including habitat filtering, species assortment and stochasticity. Understanding the relative importance of these drivers would enable scientists to design strategies initiating a desired reassembly for e.g., remediating low diversity ecosystems. Here, we aimed to examine if a human fecal-derived defined microbial community cultured in bioreactors assembled deterministically or stochastically, by completing replicate experiments under two growth medium conditions characteristic of either high fiber or high protein diets. Then, we recreated this defined microbial community by matching different strains of the same species sourced from distinct human donors, in order to elucidate whether coadaptation of strains within a host influenced community dynamics. Each defined microbial ecosystem was evaluated for composition using marker gene sequencing, and for behavior using 1H-NMR-based metabonomics. We found that stochasticity had the largest influence on the species structure when substrate concentrations varied, whereas habitat filtering greatly impacted the metabonomic output. Evidence of coadaptation was elucidated from comparisons of the two communities; we found that the artificial community tended to exclude saccharolytic Firmicutes species and was enriched for metabolic intermediates, such as Stickland fermentation products, suggesting overall that polysaccharide utilization by Firmicutes is dependent on cooperation.

Highlights

  • A critical knowledge gap in the field of microbial ecology is understanding the relative contribution of the forces that drive microbial community assembly

  • In the HP medium, the artificial” community (AC) followed the patterns of the control community (CC) more closely than in the HF medium, except for taking longer to reach metabolic temporal stability (6 days compared to 4 days for the CC)

  • We examined the relative impact of environmental selection and stochasticity on gut microbial community assembly through use of different substrate formulations

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Summary

Introduction

A critical knowledge gap in the field of microbial ecology is understanding the relative contribution of the forces that drive microbial community assembly Uncovering this information would facilitate the development of rationally designed strategies to remediate microbial communities exhibiting undesirable functionality or successive progression after a perturbation. Such forces have been proposed to include environmental selection, historical contingency, dispersal limitation and stochasticity [1]. The human gut microbial ecosystem (i.e., human gut microbiota) is a suitable testing ground for ecological theory This ecosystem is known to be critical to health and well-being [14,15,16], with alterations in both community structure and function reported in several GI disorders [17, 18]. Bioreactor-based models, such as the Simulator of Human Intestinal Microbial Ecosystem (SHIME) system [26, 27] and single-vessel units [13], are popular methodological approaches for investigating human gut microbial ecology, due to their replicability, sample yields, cost and lack of ethical constraints

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