科微学术

微生物学通报

基于整合宏组学技术认识腐生生境功能微生物区系
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国家重点研发计划项目(No. 2016YFD0800601);山东大学基本科研业务费专项资金资助项目(No. 2015YQ004)


Understanding the functional microbiota in saprophytic habitats based on integrated meta-omic technologies
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    摘要:

    微生物区系在天然生境中分布广泛,利用传统纯培养等方法无法全面认识其分布和功能,因此被认为是地球上的“暗物质”。随着新一代测序技术与高分辨率质谱技术的快速发展,研究者可以在非培养条件下全面快速分析天然生境中微生物组及其动态变化,这开启了微生物组时代,使得研究地球上“暗物质”成为可能,从而改变了微生物学研究的现状。腐生生境作为生物地球化学循环的重要推动部分,因其高效降解转化有机废弃物能力而被广泛关注。腐生生境由于原料多变、环境复杂等原因未能被全面深入研究,而整合宏组学技术则为解析相关生境微生物区系的多样性及其功能动态演替规律奠定了技术基础。基于整合宏组学数据分析与环境参数的优化,可以在认识微生物组及其功能的动态水平上,针对复杂物料建立高效降解转化的绿色转化工艺,促进农牧业废弃物无害化和资源化利用进程。

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    Microbiota is widely distributed in natural habitats and considered as “Dark Matter” because its distribution and function cannot be revealed by traditional culture-dependent methods. With the rapid development of next-generation sequencing technologies and high resolution mass spectrometric techniques, we can rapidly analyze the composition and dynamic changes of microbiome without culturing, which marks the beginning of new era of studying “Dark Matter”, thus changing the status of microbiology research. As an important part of the biogeochemical cycle, saprophytic habitats have been widely concerned because of their ability to degrade organic wastes efficiently. However, the complex materials and environments hindered comprehensive studies on saprophytic habitats. With the advent of integrated meta-omic technologies, these problems could be addressed by analyzing diversity and dynamic succession of microbiota in saprophytic habitats. Therefore, based on the analysis of integrated meta-omic data and optimization of environmental parameters, we can learn about the dynamic changes and functions of microbiome, and then establish the green biotechnologies for efficient degradation of complex materials, which would promote the process of harmlessness and resource utilization of agricultural wastes.

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潘晓光,张丽丽,张怀强,王禄山. 基于整合宏组学技术认识腐生生境功能微生物区系[J]. 微生物学通报, 2017, 44(9): 2231-2238

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  • 在线发布日期: 2017-09-05
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