The dawn of the revolution that will allow us to precisely describe how microbiomes function

IF 2.8 2区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Journal of proteomics Pub Date : 2025-03-11 DOI:10.1016/j.jprot.2025.105430
Jean Armengaud
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引用次数: 0

Abstract

The community of microorganisms inhabiting a specific environment, such as the human gut - including bacteria, fungi, archaea, viruses, protozoa, and others - is known as the microbiota. A holobiont, in turn, refers to an integrated ecological unit where microbial communities function and interact with their host, thus is a more integrative concept. To understand the processes involved, the diversity of microorganisms present must be identified and their molecular components quantified, especially proteins. Indeed, proteins – through their roles as catalytic units, structural components, and signaling molecules – are the main drivers of biological processes. Metagenomics has significantly expanded what we know about the genetic material present in microbiota, revealing their functional potential; metabolomics delivers an overall snapshot of the metabolites produced by the community. But metaproteomics offers a complementary approach to explore microbiome and holobiont functionality by focusing on the active proteins and functional pathways from each taxon. Significant recent advances in high-resolution tandem mass spectrometry have greatly expanded the catalog of peptide sequences accessible in each sample, creating the conditions for unprecedented taxonomical profiling, while also providing more accurate biomass quantification, more detailed protein characterization, and a greater capacity to monitor abundance and distinguish host biomarkers. By integrating artificial intelligence into the metaproteomics pipeline, extended datasets can now be efficiently mined to gain a more comprehensive functional view of complex biological systems, paving the way for next-generation metaproteomics. In this perspective, I discuss the transformative potential of this methodology. We are on the cusp of a remarkable omic revolution that promises to uncover the intricate workings of microbiomes by producing a vast array of new knowledge with multiple applications.

Significance

Metaproteomics provides a powerful lens to investigate microbiome and holobiont functionality by identifying and quantifying active proteins and functional pathways within each taxon. Recent breakthroughs in high-resolution tandem mass spectrometry have dramatically expanded the repertoire of peptide sequences detectable per sample. This progress enables unprecedented taxonomic resolution for microbial identification, more precise biomass quantification, comprehensive protein characterization, abundance monitoring, and the unique identification of host biomarkers. In this commentary, I delve into the distinctive features that make metaproteomics a transformative tool. I discuss the recent advancements in tandem mass spectrometry and argue that the primary challenge in analyzing complex samples is shifting from data acquisition to data interpretation. With the integration of artificial intelligence, I believe next-generation metaproteomics is poised to become the next Big Thing in microbiome research, unlocking profound insights into microbial functionality and ecosystem dynamics.
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人类肠道等特定环境中栖息的微生物群落,包括细菌、真菌、古生菌、病毒、原生动物等,被称为微生物群。而整体生物群则是指微生物群落发挥作用并与其宿主相互作用的综合生态单位,因此是一个更具综合性的概念。要了解其中的过程,就必须确定微生物的多样性,并量化其分子成分,尤其是蛋白质。事实上,蛋白质作为催化单元、结构成分和信号分子,是生物过程的主要驱动力。元基因组学大大扩展了我们对微生物群遗传物质的了解,揭示了微生物群的功能潜力;代谢组学提供了微生物群产生的代谢物的总体概况。但元蛋白质组学提供了一种补充方法,通过关注每个类群的活性蛋白质和功能途径来探索微生物组和整体生物群的功能。最近,高分辨率串联质谱技术取得了重大进展,大大扩展了每个样本中可获得的肽序列目录,为前所未有的分类剖析创造了条件,同时还提供了更准确的生物量量化、更详细的蛋白质特征描述,以及更强的丰度监测和区分宿主生物标志物的能力。通过将人工智能集成到元蛋白质组学管道中,现在可以高效地挖掘扩展数据集,从而获得复杂生物系统更全面的功能视图,为下一代元蛋白质组学铺平道路。在本文中,我将讨论这种方法的变革潜力。我们正处于一场非凡的奥米克革命的风口浪尖,这场革命有望通过产生大量具有多种应用价值的新知识来揭示微生物组错综复杂的运作方式。意义元蛋白质组学通过识别和量化每个类群中的活性蛋白质和功能途径,为研究微生物组和整体生物功能提供了一个强大的视角。高分辨率串联质谱技术的最新突破极大地扩展了每个样本可检测的肽序列范围。这一进步使得微生物鉴定、更精确的生物量量化、全面的蛋白质特征描述、丰度监测以及宿主生物标记物的独特鉴定等方面的分类分辨率达到了前所未有的水平。在这篇评论中,我将深入探讨使元蛋白质组学成为一种变革性工具的显著特点。我讨论了串联质谱技术的最新进展,并认为分析复杂样本的主要挑战正在从数据采集转向数据解读。随着人工智能的融入,我相信下一代元蛋白质组学有望成为微生物组研究的下一个大事件,从而揭开微生物功能和生态系统动态的神秘面纱。
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来源期刊
Journal of proteomics
Journal of proteomics 生物-生化研究方法
CiteScore
7.10
自引率
3.00%
发文量
227
审稿时长
73 days
期刊介绍: Journal of Proteomics is aimed at protein scientists and analytical chemists in the field of proteomics, biomarker discovery, protein analytics, plant proteomics, microbial and animal proteomics, human studies, tissue imaging by mass spectrometry, non-conventional and non-model organism proteomics, and protein bioinformatics. The journal welcomes papers in new and upcoming areas such as metabolomics, genomics, systems biology, toxicogenomics, pharmacoproteomics. Journal of Proteomics unifies both fundamental scientists and clinicians, and includes translational research. Suggestions for reviews, webinars and thematic issues are welcome.
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