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小鼠盲肠微生物群连续发酵模型的逐步开发

Stepwise Development of an Continuous Fermentation Model for the Murine Caecal Microbiota.

作者信息

Poeker Sophie A, Lacroix Christophe, de Wouters Tomas, Spalinger Marianne R, Scharl Michael, Geirnaert Annelies

机构信息

Laboratory of Food Biotechnology, Institute of Food, Nutrition and Health, ETH Zurich, Zurich, Switzerland.

Department of Gastroenterology and Hepatology, University Hospital Zurich, Zurich, Switzerland.

出版信息

Front Microbiol. 2019 May 29;10:1166. doi: 10.3389/fmicb.2019.01166. eCollection 2019.

Abstract

Murine models are valuable tools to study the role of gut microbiota in health or disease. However, murine and human microbiota differ in species composition, so further investigation of the murine gut microbiota is important to gain a better mechanistic understanding. Continuous fermentation models are powerful tools to investigate microbe-microbe interactions while circumventing animal testing and host confounding factors, but are lacking for murine gut microbiota. We therefore developed a novel continuous fermentation model based on the PolyFermS platform adapted to the murine caecum and inoculated with immobilized caecal microbiota. We followed a stepwise model development approach by adjusting parameters [pH, retention time (RT), growth medium] to reach fermentation metabolite profiles and marker bacterial levels similar to the inoculum. The final model had a stable and inoculum-alike fermentation profile during continuous operation. A lower pH during startup and continuous operation stimulated bacterial fermentation (115 mM short-chain fatty acids at pH 7 to 159 mM at pH 6.5). Adjustments to nutritive medium, a decreased pH and increased RT helped control the levels, which often bloom in fermentation models, to 6.6 log gene copies/mL in final model. In parallel, the , , and levels were better maintained with concentrations of 8.5 log gene copies/mL, 8.8 log gene copies/mL and 7.5 log gene copies/mL, respectively, in the final model. An independent repetition with final model parameters showed reproducible results in maintaining the inoculum fermentation metabolite profile and its marker bacterial levels. Microbiota community analysis of the final model showed a decreased bacterial diversity and compositional differences compared to caecal inoculum microbiota. Most of the caecal bacterial families were represented , but taxa of the family were not maintained. Functional metagenomics prediction showed conserved metabolic and functional KEGG pathways between and caecal inoculum microbiota. To conclude, we showed that a rational and stepwise approach allowed us to model the murine caecal microbiota and functions. Our model is a first step to develop murine microbiota model systems and offers the potential to study microbiota functionality and structure .

摘要

小鼠模型是研究肠道微生物群在健康或疾病中作用的宝贵工具。然而,小鼠和人类的微生物群在物种组成上存在差异,因此进一步研究小鼠肠道微生物群对于更好地理解其作用机制很重要。连续发酵模型是研究微生物与微生物相互作用的有力工具,可避免动物实验和宿主混杂因素,但缺乏针对小鼠肠道微生物群的此类模型。因此,我们基于PolyFermS平台开发了一种新型连续发酵模型,该模型适用于小鼠盲肠,并接种了固定化的盲肠微生物群。我们采用逐步模型开发方法,通过调整参数[pH值、保留时间(RT)、生长培养基],以达到与接种物相似的发酵代谢产物谱和标志性细菌水平。最终模型在连续运行期间具有稳定且与接种物相似的发酵谱。启动和连续运行期间较低的pH值刺激了细菌发酵(pH值为7时短链脂肪酸为115 mM,pH值为6.5时为159 mM)。对营养培养基的调整、pH值的降低和RT的增加有助于将在发酵模型中经常大量繁殖的水平控制在最终模型中的6.6 log基因拷贝/毫升。同时,在最终模型中,、和水平分别以8.5 log基因拷贝/毫升、8.8 log基因拷贝/毫升和7.5 log基因拷贝/毫升的浓度得到更好的维持。使用最终模型参数进行的独立重复实验显示,在维持接种物发酵代谢产物谱及其标志性细菌水平方面具有可重复的结果。对最终模型的微生物群群落分析表明,与盲肠接种物微生物群相比,细菌多样性降低且组成存在差异。大多数盲肠细菌家族都有代表,但家族的分类群未得到维持。功能宏基因组学预测显示,与盲肠接种物微生物群之间存在保守的代谢和功能KEGG途径。总之,我们表明合理的逐步方法使我们能够模拟小鼠盲肠微生物群及其功能。我们的模型是开发小鼠微生物群模型系统的第一步,并为研究微生物群的功能和结构提供了潜力。

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