Special Issue on “Metaproteomics and meta-omics perspectives to decrypt Microbiome Functionality”

IF 3.4 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2024-11-18 DOI:10.1002/pmic.202400072
Lucia Grenga, Magnus Øverlie Arntzen, Jean Armengaud
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引用次数: 0

Abstract

Proteomics is inviting submissions to a special issue dedicated to microbiome research, emphasizing the integration of omics to uncover the functionality of microbiomes. This special issue is tentatively scheduled for publication for mid-2025. It provides an ideal platform for showcasing cutting-edge research on microbiomes, proposing new strategies to make the most of acquired molecular data, and fostering discussions on the future prospects of metaproteomics in the field and the synergies with other omics. The objective of this special issue is to cover the full spectrum of technologies aimed at enhancing our understanding of microbiome and holobionts' function and illustrate their practical applications. We encourage submissions from all areas of microbiome research focusing on functionality. We are open to considering different types of papers, including research articles, review articles, technical briefs, dataset briefs, and viewpoint articles.

Microorganisms contribute to crucial biological processes within vast and intricate ecosystems like soils and oceans [1]. Typically operating within complex communities known as microbiota, microorganisms employ an ingenious mixture of task specialization, cooperation, and competition as a winning strategy to navigate environmental conditions [2] and ensure the stability of ecosystems [3]. Establishing symbiotic relationships with their hosts if any, they often provide mutual benefits, although in some instances, they may contribute to host diseases. The significance of ecosystem services rendered by microbiota is increasingly recognized, underscoring the growing importance of characterizing these ecosystems. Enhanced understanding holds promise for diverse fields, including medicine, well-being, food industry, agriculture, animal breeding and fish farming, biotechnology, remediation and protection of the environment.

It's time to face the music and admit that exploring microbial communities will entail an extra layer of challenging hurdles due to their extensive taxonomic diversity, genomic heterogeneity, dynamic nature, and our limited understanding of their components, which primarily focuses on cultivable species [4]. Beyond mere taxonomic catalogue of microorganisms within a microbiota and their enumeration to determine their abundance, it is crucial to discern who the active contributors are and what the ongoing molecular processes are to grasp these biological systems fully. The functionality of microbiomes involves a complex interplay of numerous interconnected variables, ranging from genetic makeup and mRNA transcripts to proteins and their potential post-translational modifications, inherent protein catalytic properties, subcellular localization, and the resultant enzymatic products that can retroact on catalysis levels. Omics technologies have become indispensable in unravelling the intricacies of these molecular processes. Among these, metaproteomics emerges as a particularly suitable tool for understanding the protein composition of microbiomes [5]. Elevating the sophistication of computational and modelling methodologies is of paramount interest for exploiting the wealth of data collected on microbiomes with today's omics technologies and transitioning from mere statistical associations to causal relationships [6]. Thus, this special issue endeavors to gather contributions across all directions aiming to advance our understanding of microbiome functionality.

We have already received a substantial number of exciting papers and are pleased to continue accepting submissions until early December, 2024. Late submissions will still receive full consideration, but there is a risk that accepted papers may not meet the production schedule for inclusion in the special issue. While the special issue is scheduled for release in Spring/Summer 2025, all accepted papers can be published online upon acceptance and will be fully citable with a digital object identifier (DOI). This special issue aims to provide a platform to highlight the latest advancements in microbiome research and the diverse applications of metaproteomics and other meta-omics in the fields of medicine, the environment, agriculture, and biotechnology.

Lucia Grenga

Magnus Øverlie Arntzen

Jean Armengaud

The authors declare no conflicts of interest.

解密微生物组功能的元蛋白组学和元组学视角 "特刊。
《蛋白质组学》特刊致力于微生物组研究,强调整合组学来揭示微生物组的功能。本期特刊暂定于2025年年中出版。它为展示微生物组学的前沿研究提供了一个理想的平台,提出了充分利用所获得的分子数据的新策略,并促进了宏蛋白质组学在该领域的未来前景以及与其他组学的协同作用的讨论。本期特刊的目的是涵盖旨在提高我们对微生物组和全息生物功能的理解的所有技术,并说明它们的实际应用。我们鼓励来自微生物组研究的所有领域的提交,重点是功能。我们愿意考虑不同类型的论文,包括研究文章、综述文章、技术简报、数据集简报和观点文章。微生物对土壤和海洋等庞大而复杂的生态系统中至关重要的生物过程做出了贡献。微生物通常在被称为微生物群的复杂群落中活动,它们巧妙地将任务分工、合作和竞争结合在一起,作为一种制胜策略,来驾驭环境条件,确保生态系统的稳定。它们与宿主(如果有的话)建立共生关系,通常提供互利,尽管在某些情况下,它们可能导致宿主疾病。微生物群提供的生态系统服务的重要性日益得到认识,强调了描述这些生态系统的重要性。增进了解为包括医药、福利、食品工业、农业、动物饲养和鱼类养殖、生物技术、环境修复和保护在内的各个领域带来了希望。是时候面对现实,承认探索微生物群落将面临额外的挑战,因为它们具有广泛的分类多样性,基因组异质性,动态性,以及我们对其组成部分的有限理解,主要集中在可培养的物种[4]。除了微生物群中微生物的分类目录和它们的枚举来确定它们的丰度之外,辨别活跃的贡献者是谁以及正在进行的分子过程是充分掌握这些生物系统的关键。微生物组的功能涉及许多相互关联的变量的复杂相互作用,从基因组成和mRNA转录物到蛋白质及其潜在的翻译后修饰,固有的蛋白质催化特性,亚细胞定位以及由此产生的酶产物,这些酶产物可以在催化水平上回溯。组学技术在揭示这些分子过程的复杂性方面已经变得不可或缺。其中,宏蛋白质组学作为理解微生物组[5]蛋白质组成的特别合适的工具而出现。提高计算和建模方法的复杂性对于利用今天的组学技术开发微生物组收集的大量数据以及从单纯的统计关联到因果关系的转变至关重要。因此,这期特刊努力收集来自各个方向的贡献,旨在促进我们对微生物组功能的理解。我们已经收到了大量令人兴奋的论文,并很高兴继续接受提交,直到2024年12月初。逾期提交的论文仍将得到充分考虑,但有可能被接受的论文可能无法满足列入特刊的生产计划。虽然特刊计划于2025年春夏发行,但所有被接受的论文都可以在接受后在线发表,并将使用数字对象标识符(DOI)进行完全引用。本期特刊旨在提供一个平台,突出微生物组研究的最新进展,以及宏蛋白质组学和其他元组学在医学、环境、农业和生物技术领域的各种应用。Lucia GrengaMagnus Øverlie ArntzenJean armengaud作者声明无利益冲突。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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