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Structure and dynamics of the microbial communities underlying the carboxylate platform for biofuel production

机译:羧酸盐平台用于生物燃料生产的微生物群落的结构和动力学

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The carboxylate platform utilizes a mixed microbial community to convert lignocellulosic biomass into chemicals and fuels. While much of the platform is well understood, little is known about its microbiology. Mesophilic (40 °C) and thermophilic (55 °C) fermentations employing a sorghum feedstock and marine sediment inoculum were profiled using 16S rRNA tag-pyrosequencing over the course of a 30-day incubation. The contrasting fermentation temperatures converted similar amounts of biomass, but the mesophilic community was significantly more productive, and the two temperatures differed significantly with respect to propionic and butyric acid production. Pyrotag sequencing revealed the presence of dynamic communities that responded rapidly to temperature and changed substantially over time. Both temperatures were dominated by bacteria resembling Clostridia, but they shared few taxa in common. The species-rich mesophilic community harbored a variety of Bacteroidetes, Actinobacteria, and γ-Proteobacteria, whereas the thermophilic community was composed mainly of Clostridia and Bacilli. Despite differences in composition and productivity, similar patterns of functional class dynamics were observed. Over time, organisms resembling known cellulose degraders decreased in abundance, while organisms resembling known xylose degraders increased. Improved understanding of the carboxylate platform’s microbiology will help refine platform performance and contribute to our growing knowledge regarding biomass conversion and biofuel production processes.
机译:羧酸盐平台利用混合微生物群落将木质纤维素生物质转化为化学物质和燃料。尽管该平台的大部分内容已广为人知,但对其微生物学知之甚少。在30天的温育过程中,使用16S rRNA标签焦磷酸测序对使用高粱原料和海洋沉积物接种物的中温(40°C)和嗜热(55°C)发酵进行了分析。不同的发酵温度转化了相似量的生物质,但嗜温菌群落的生产力明显提高,并且这两个温度在丙酸和丁酸的生产方面也有显着差异。 Pyrotag测序揭示了动态群落的存在,该群落对温度快速响应并随时间发生显着变化。两种温度均由类似于梭状芽胞杆菌的细菌所控制,但它们几乎没有共同的分类单元。物种丰富的嗜温性群落包含各种拟杆菌,放线菌和γ-变形杆菌,而嗜热群落主要由梭菌和芽孢杆菌组成。尽管组成和生产率存在差异,但观察到相似的功能类别动态模式。随着时间的流逝,类似于已知纤维素降解物的生物数量会减少,而类似于已知木糖降解物的生物数量会增加。对羧酸盐平台微生物学的进一步了解将有助于改善平台性能,并有助于我们对生物质转化和生物燃料生产过程的了解不断增长。

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