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功能才是关键:微生物群落复杂性如何影响宏蛋白质组学中的物种、蛋白质组和途径覆盖度。

Function is what counts: how microbial community complexity affects species, proteome and pathway coverage in metaproteomics.

机构信息

Department of Molecular Systems Biology, Helmholtz-Centre for Environmental Research - UFZ, Leipzig, Germany.

Department of Molecular and Cellular Biology, University of Guelph, Guelph, ON, Canada.

出版信息

Expert Rev Proteomics. 2020 Feb;17(2):163-173. doi: 10.1080/14789450.2020.1738931. Epub 2020 Mar 15.

Abstract

: Metaproteomics is an established method to obtain a comprehensive taxonomic and functional view of microbial communities. After more than a decade, we are now able to describe the promise, reality, and perspectives of metaproteomics and provide useful information about the choice of method, applications, and potential improvement strategies.: In this article, we will discuss current challenges of species and proteome coverage, and also highlight functional aspects of metaproteomics analysis of microbial communities with different levels of complexity. To do this, we re-analyzed data from microbial communities with low to high complexity (8, 72, 200 and >300 species). High species diversity leads to a reduced number of protein group identifications in a complex community, and thus the number of species resolved is underestimated. Ultimately, low abundance species remain undiscovered in complex communities. However, we observed that the main functional categories were better represented within complex microbiomes when compared to species coverage.: Our findings showed that even with low species coverage, metaproteomics has the potential to reveal habitat-specific functional features. Finally, we exploit this information to highlight future research avenues that are urgently needed to enhance our understanding of taxonomic composition and functions of complex microbiomes.

摘要

: 代谢组学是一种获取微生物群落综合分类和功能视图的成熟方法。经过十多年的发展,我们现在能够描述代谢组学的前景、现实和观点,并提供有关方法选择、应用和潜在改进策略的有用信息。

: 在本文中,我们将讨论目前物种和蛋白质组覆盖范围的挑战,还将突出具有不同复杂程度的微生物群落代谢组学分析的功能方面。为此,我们重新分析了低到高复杂程度(8、72、200 和> 300 个物种)微生物群落的数据。高物种多样性导致复杂群落中蛋白质组鉴定数量减少,因此解析的物种数量被低估。最终,低丰度的物种仍未在复杂群落中被发现。然而,我们观察到,与物种覆盖范围相比,主要的功能类别在复杂微生物组中得到了更好的体现。

: 我们的研究结果表明,即使在物种覆盖度低的情况下,代谢组学也有可能揭示特定栖息地的功能特征。最后,我们利用这些信息突出未来迫切需要的研究方向,以增强我们对复杂微生物组的分类组成和功能的理解。

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