Proteotyping of biogas plant microbiomes separates biogas plants according to process temperature and reactor type.
Proteotyping of biogas plant microbiomes separates biogas plants according to process temperature and reactor type.
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DOI：
10.1186/s13068-016-0572-4
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发表时间：
2016
影响因子：
6.3
通讯作者：
Reichl U
中科院分区：
文献类型：
--
作者：
Heyer R;Benndorf D;Kohrs F;De Vrieze J;Boon N;Hoffmann M;Rapp E;Schlüter A;Sczyrba A;Reichl U
沼气植物的甲烷产量和沼气生产力取决于微生物群落结构和功能、底物供应和一般沼气工艺参数。然而，到目前为止，对微生物群落功能与工艺参数之间的相关性知之甚少。为了缩小这一知识差距，本研究采用宏蛋白质组学方法对来自35个不同工业沼气厂的40个样品的微生物群落进行了评估。液相色谱联用串联质谱法（Orbitrap Elite™混合型离子阱-轨道阱质谱仪）对所有40个样品进行三次重复，鉴定出属于162个生物过程和75个不同分类目的3138种不同的超蛋白。分别对UniProtKB/Swiss-Prot和7个宏基因组数据库进行数据库检索。随后对这些数据进行聚类和主成分分析，确定了与中温菌和亲热菌工艺条件、上流式厌氧污泥毯式反应器的使用以及用污水污泥进行BGP投料相关的四个主要聚类。观察结果证实了先前De Vrieze等人基于16S rRNA基因测序对同一BGP样本进行的系统发育研究（Water Res 75:312-323）。特别是，我们确定了沼气过程中类似的微生物关键角色，即芽胞杆菌、肠杆菌、细菌性杆菌、梭菌、根瘤菌和热厌氧细菌，以及甲烷杆菌、甲烷菌和甲烷球菌。为了阐明主要的生物量降解途径，将最丰富的1%的超蛋白分配给KEGG图1200，代表中心碳代谢。此外，还研究了工艺参数(i)温度、（ii）有机负载量（OLR）、（iii）总氨氮（TAN）和（iv）污泥滞留时间（SRT）对这些途径的影响。例如，高TAN与氢营养化产甲烷菌和细菌单碳代谢相关，表明合营养化醋酸氧化。基于所鉴定的超蛋白，对所调查的所有沼气植物进行了不同阶数与工艺参数的相关性及主成分分析。这是首次大规模的bgp元蛋白质组研究。bgp的蛋白质分型揭示了微生物群落结构及其功能与工艺参数之间的一般相关性。监测微生物关键功能甚至微生物群落水平的变化是识别工艺问题和干扰的良好指导工具。本文的在线版本（doi:10.1186/s13068-016-0572-4）包含补充材料，仅供授权用户使用。
Methane yield and biogas productivity of biogas plants (BGPs) depend on microbial community structure and function, substrate supply, and general biogas process parameters. So far, however, relatively little is known about correlations between microbial community function and process parameters. To close this knowledge gap, microbial communities of 40 samples from 35 different industrial biogas plants were evaluated by a metaproteomics approach in this study. Liquid chromatography coupled to tandem mass spectrometry (Orbitrap Elite™ Hybrid Ion Trap-Orbitrap Mass Spectrometer) of all 40 samples as triplicate enabled the identification of 3138 different metaproteins belonging to 162 biological processes and 75 different taxonomic orders. The respective database searches were performed against UniProtKB/Swiss-Prot and seven metagenome databases. Subsequent clustering and principal component analysis of these data allowed for the identification of four main clusters associated with mesophile and thermophile process conditions, the use of upflow anaerobic sludge blanket reactors and BGP feeding with sewage sludge. Observations confirm a previous phylogenetic study of the same BGP samples that was based on 16S rRNA gene sequencing by De Vrieze et al. (Water Res 75:312–323,). In particular, we identified similar microbial key players of biogas processes, namely Bacillales, Enterobacteriales, Bacteriodales, Clostridiales, Rhizobiales and Thermoanaerobacteriales as well as Methanobacteriales, Methanosarcinales and Methanococcales. For the elucidation of the main biomass degradation pathways, the most abundant 1 % of metaproteins was assigned to the KEGG map 1200 representing the central carbon metabolism. Additionally, the effect of the process parameters (i) temperature, (ii) organic loading rate (OLR), (iii) total ammonia nitrogen (TAN), and (iv) sludge retention time (SRT) on these pathways was investigated. For example, high TAN correlated with hydrogenotrophic methanogens and bacterial one-carbon metabolism, indicating syntrophic acetate oxidation. Correlation between the different orders and process parameter, as well as principle component analysis of all investigated biogas plants based on the identified metaproteins. This is the first large-scale metaproteome study of BGPs. Proteotyping of BGPs reveals general correlations between the microbial community structure and its function with process parameters. The monitoring of changes on the level of microbial key functions or even of the microbial community represents a well-directed tool for the identification of process problems and disturbances. The online version of this article (doi:10.1186/s13068-016-0572-4) contains supplementary material, which is available to authorized users.