Metaproteomics of complex microbial communities in biogas plants.
Metaproteomics of complex microbial communities in biogas plants.
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DOI：
10.1111/1751-7915.12276
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发表时间：
2015-09
影响因子：
5.7
通讯作者：
Benndorf D
中科院分区：
文献类型：
--
作者：
Heyer R;Kohrs F;Reichl U;Benndorf D
从农业生物质或有机废物生产沼气是可再生能源的重要来源。尽管德国有数千座沼气厂（BGP）正在运营，但提高产量（例如纤维基质的产量）仍有巨大潜力。此外，还应优化工艺稳定性。除了评估技术措施外，提高我们对沼气过程中所涉及的微生物群落的理解被认为是实现这两个目标的关键问题。分析群落组成的微观和遗传方法提供了有价值的实验数据，但未能检测酶的存在和微生物群落的总体代谢活性。因此，元蛋白质组学可以显着有助于阐明生物质转化为甲烷的关键步骤，因为它提供了组合的功能和系统发育数据。尽管元蛋白质组学分析受到样品杂质、样品复杂性和冗余蛋白质鉴定的挑战，并且仍然受到基因组序列可用性的限制，但最近的研究已经显示出有希望的结果。在下文中，讨论了来自全规模BGP的样品的元蛋白质组学的工作流程和潜在陷阱。此外，元蛋白质组学的价值，以促进微生物生态学的进一步发展进行了评估。最后，当元蛋白质组学与先进的成像技术，宏基因组学，元转录组学和代谢组学相结合时，预期的协同效应得到解决。
Production of biogas from agricultural biomass or organic wastes is an important source of renewable energy. Although thousands of biogas plants (BGPs) are operating in Germany, there is still a significant potential to improve yields, e.g. from fibrous substrates. In addition, process stability should be optimized. Besides evaluating technical measures, improving our understanding of microbial communities involved into the biogas process is considered as key issue to achieve both goals. Microscopic and genetic approaches to analyse community composition provide valuable experimental data, but fail to detect presence of enzymes and overall metabolic activity of microbial communities. Therefore, metaproteomics can significantly contribute to elucidate critical steps in the conversion of biomass to methane as it delivers combined functional and phylogenetic data. Although metaproteomics analyses are challenged by sample impurities, sample complexity and redundant protein identification, and are still limited by the availability of genome sequences, recent studies have shown promising results. In the following, the workflow and potential pitfalls for metaproteomics of samples from full-scale BGP are discussed. In addition, the value of metaproteomics to contribute to the further advancement of microbial ecology is evaluated. Finally, synergistic effects expected when metaproteomics is combined with advanced imaging techniques, metagenomics, metatranscriptomics and metabolomics are addressed.