Wenzel Lisa, Heyer Robert, Schallert Kay, Löser Lucy, Wünschiers Röbbe, Reichl Udo, Benndorf Dirk
Bioprocess Engineering Otto von Guericke University Magdeburg Germany.
Applied Computer Sciences and Biosciences University of Applied Science Mittweida Mittweida Germany.
Eng Life Sci. 2018 Jul 8;18(7):498-509. doi: 10.1002/elsc.201800062. eCollection 2018 Jul.
Metaproteomics represent an important tool for the taxonomic and functional investigation of microbial communities in humans, environment, and technical applications. Due to the high complexity of the microbial communities, protein, and peptide fractionation is applied to improve the characterization of taxonomic and functional composition of microbial communities. In order to target scientific questions regarding taxonomic and functional composition adequately, a tradeoff between the number of fractions analyzed and the required depth of information has to be found. Two samples of a biogas plant were analyzed by either single LC-MS/MS measurement (1D) or LC-MS/MS measurements of fractions obtained after SDS-PAGE (2D) separation. Fractionation with SDS-PAGE increased the number of identified spectra by 273%, the number of peptides by 95%, and the number of metaproteins by 59%. Rarefaction plots of species and metaproteins against identified spectra showed that 2D separation was sufficient to identify most microbial families but not all metaproteins. More reliable quantitative comparison could be achieved with 2D. 1D separation enabled high-throughput analysis of samples, however, depth in functional descriptions and reliability of quantification were lost. Nevertheless, the proteotyping of multiple samples was still possible. 2D separations provided more reliable quantitative data combined with a deeper insight into the taxonomic and functional composition of the microbial communities. Regarding taxonomic and functional composition, metaproteomics based on 2D is just the tip of an iceberg.
宏蛋白质组学是对人类、环境和技术应用中微生物群落进行分类和功能研究的重要工具。由于微生物群落高度复杂,因此应用蛋白质和肽分级分离来改善对微生物群落分类和功能组成的表征。为了充分解决有关分类和功能组成的科学问题,必须在分析的分级份数与所需信息深度之间找到平衡。对一个沼气厂的两个样品进行了分析,一个采用单液相色谱-串联质谱测量(1D),另一个采用十二烷基硫酸钠-聚丙烯酰胺凝胶电泳(SDS-PAGE)分离后所得分级的液相色谱-串联质谱测量(2D)。SDS-PAGE分级使鉴定出的谱图数量增加了273%,肽数量增加了95%,宏蛋白质数量增加了59%。物种和宏蛋白质相对于鉴定出的谱图的稀疏曲线表明,二维分离足以鉴定出大多数微生物科,但并非所有宏蛋白质。二维分离能够实现更可靠的定量比较。一维分离能够对样品进行高通量分析,然而,失去了功能描述的深度和定量的可靠性。尽管如此,对多个样品进行蛋白质分型仍然是可能的。二维分离提供了更可靠的定量数据,并能更深入地了解微生物群落的分类和功能组成。关于分类和功能组成,基于二维的宏蛋白质组学只是冰山一角。