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Byproduct Cross Feeding and Community Stability in an In Silico Biofilm Model of the Gut Microbiome

机译:肠道微生物组的计算机模拟生物膜模型中的副产物交叉喂养和群落稳定性

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The gut microbiome is a highly complex microbial community that strongly impacts human health and disease. The two dominant phyla in healthy humans are Bacteroidetes and Firmicutes, with minor phyla such as Proteobacteria having elevated abundances in various disease states. While the gut microbiome has been widely studied, relatively little is known about the role of interspecies interactions in promoting microbiome stability and function. We developed a biofilm metabolic model of a very simple gut microbiome community consisting of a representative bacteroidete ( Bacteroides thetaiotaomicron ), firmicute ( Faecalibacterium prausnitzii ) and proteobacterium ( Escherichia coli ) to investigate the putative role of metabolic byproduct cross feeding between species on community stability, robustness and flexibility. The model predicted coexistence of the three species only if four essential cross-feeding relationships were present. We found that cross feeding allowed coexistence to be robustly maintained for large variations in biofilm thickness and nutrient levels. However, the model predicted that community composition and short chain fatty acid levels could be strongly affected only over small ranges of byproduct uptake rates, indicating a possible lack of flexibility in our cross-feeding mechanism. Our model predictions provide new insights into the impact of byproduct cross feeding and yield experimentally testable hypotheses about gut microbiome community stability.
机译:肠道微生物组是一个高度复杂的微生物群落,会严重影响人类的健康和疾病。在健康人类中,两个优势种是拟杆菌和硬毛菌,次要种(例如变形杆菌)在各种疾病状态下的丰度都很高。虽然肠道微生物组已得到广泛研究,但关于种间相互作用在促进微生物组稳定性和功能方面的作用知之甚少。我们开发了一个非常简单的肠道微生物组群落的生物膜代谢模型,该模型由代表性的杀菌剂(Bacteroides thetaiotaomicron),坚定的(Faecalibacterium prausnitzii)和变形杆菌(Escherichia coli)组成,以研究物种间代谢副产物交叉饲喂对群落稳定性的假定作用,健壮性和灵活性。仅当存在四个基本的交叉喂养关系时,该模型才预测这三个物种的共存。我们发现交叉进食可以使生物膜厚度和营养水平的较大差异得以牢固地维持共存。但是,该模型预测,仅在小范围的副产物摄取率下,群落组成和短链脂肪酸水平才会受到强烈影响,这表明我们的交叉喂养机制可能缺乏灵活性。我们的模型预测提供了关于副产物交叉喂养的影响的新见解,并产生了关于肠道微生物组群落稳定性的实验可检验的假设。

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