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Combinatorial metaproteomics and metagenomics to analyze complex bacterial communities in situ

机译:组合的元素组织和偏心组学分析复合细菌社区的原位

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Metaproteomics defines the characterizing of the entire protein complement of a given microbiota. Generally, protein identification occurs by searching MS/MS spectra against protein databases. Most protein sequences in publicly available databases originate from model organisms and not necessarily from environmental relevant organisms that may be uncultured This imperfect match between sample and database results in a failure to allocate spectra making identification of divergent proteins. However, for the investigation of communities in the environment, it is crucial to identify potentially all proteins. In our study, we combine metaproteomics with metagenomics in order to obviate this problem as much as possible and apply this approach to a number of bacterial communities on plant leaves.
机译:Metaprootomics定义了给定微生物群的整个蛋白质补充的表征。通常,通过对蛋白质数据库搜索MS / MS光谱来进行蛋白质鉴定。公共数据库中的大多数蛋白质序列来自模型生物,并且不一定来自可能未培养的环境相关的生物,这种情况下,样品和数据库之间的不完美匹配导致未能分配鉴定发散蛋白质的谱。然而,对于对环境中的社区进行调查,识别潜在的所有蛋白质至关重要。在我们的研究中,我们将元素组织与MetageNomics相结合,以尽可能地消除这个问题,并将这种方法应用于植物叶子的许多细菌社区。

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