Herbst Florian-Alexander, Lünsmann Vanessa, Kjeldal Henrik, Jehmlich Nico, Tholey Andreas, von Bergen Martin, Nielsen Jeppe Lund, Hettich Robert L, Seifert Jana, Nielsen Per Halkjaer
Department of Chemistry and Bioscience, Center for Microbial Communities, Aalborg University, Aalborg, Denmark.
Department of Proteomics, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.
Proteomics. 2016 Mar;16(5):783-98. doi: 10.1002/pmic.201500305. Epub 2016 Jan 21.
Metaproteomics--the large-scale characterization of the entire protein complement of environmental microbiota at a given point in time--has provided new features to study complex microbial communities in order to unravel these "black boxes." New technical challenges arose that were not an issue for classical proteome analytics before that could be tackled by the application of different model systems. Here, we review different current and future model systems for metaproteome analysis. Following a short introduction to microbial communities and metaproteomics, we introduce model systems for clinical and biotechnological research questions including acid mine drainage, anaerobic digesters, and activated sludge. Model systems are useful to evaluate the challenges encountered within (but not limited to) metaproteomics, including species complexity and coverage, biomass availability, or reliable protein extraction. The implementation of model systems can be considered as a step forward to better understand microbial community responses and ecological functions of single member organisms. In the future, improvements are necessary to fully explore complex environmental systems by metaproteomics.
宏蛋白质组学——在特定时间点对环境微生物群的整个蛋白质组进行大规模表征——为研究复杂的微生物群落提供了新的方法,以揭开这些“黑匣子”。出现了新的技术挑战,这些挑战在经典蛋白质组分析中并非问题,而可以通过应用不同的模型系统来解决。在这里,我们综述了当前和未来用于宏蛋白质组分析的不同模型系统。在对微生物群落和宏蛋白质组学进行简短介绍之后,我们介绍了用于临床和生物技术研究问题的模型系统,包括酸性矿山排水、厌氧消化器和活性污泥。模型系统有助于评估(但不限于)宏蛋白质组学中遇到的挑战,包括物种复杂性和覆盖率、生物量可用性或可靠的蛋白质提取。模型系统的实施可被视为朝着更好地理解微生物群落反应和单个成员生物体的生态功能迈出的一步。未来,有必要进行改进,以便通过宏蛋白质组学充分探索复杂的环境系统。