From microbiome composition to functional engineering, one step at a time.

IF 8 1区 生物学 Q1 MICROBIOLOGY
Microbiology and Molecular Biology Reviews Pub Date : 2023-12-20 Epub Date: 2023-11-10 DOI:10.1128/mmbr.00063-23
Sebastian Dan Burz, Senka Causevic, Alma Dal Co, Marija Dmitrijeva, Philipp Engel, Daniel Garrido-Sanz, Gilbert Greub, Siegfried Hapfelmeier, Wolf-Dietrich Hardt, Vassily Hatzimanikatis, Clara Margot Heiman, Mathias Klaus-Maria Herzog, Alyson Hockenberry, Christoph Keel, Andreas Keppler, Soon-Jae Lee, Julien Luneau, Lukas Malfertheiner, Sara Mitri, Bidong Ngyuen, Omid Oftadeh, Alan R Pacheco, François Peaudecerf, Grégory Resch, Hans-Joachim Ruscheweyh, Asli Sahin, Ian R Sanders, Emma Slack, Shinichi Sunagawa, Janko Tackmann, Robin Tecon, Giovanni Stefano Ugolini, Jordan Vacheron, Jan Roelof van der Meer, Evangelia Vayena, Pascale Vonaesch, Julia A Vorholt
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引用次数: 0

Abstract

SUMMARYCommunities of microorganisms (microbiota) are present in all habitats on Earth and are relevant for agriculture, health, and climate. Deciphering the mechanisms that determine microbiota dynamics and functioning within the context of their respective environments or hosts (the microbiomes) is crucially important. However, the sheer taxonomic, metabolic, functional, and spatial complexity of most microbiomes poses substantial challenges to advancing our knowledge of these mechanisms. While nucleic acid sequencing technologies can chart microbiota composition with high precision, we mostly lack information about the functional roles and interactions of each strain present in a given microbiome. This limits our ability to predict microbiome function in natural habitats and, in the case of dysfunction or dysbiosis, to redirect microbiomes onto stable paths. Here, we will discuss a systematic approach (dubbed the N+1/N-1 concept) to enable step-by-step dissection of microbiome assembly and functioning, as well as intervention procedures to introduce or eliminate one particular microbial strain at a time. The N+1/N-1 concept is informed by natural invasion events and selects culturable, genetically accessible microbes with well-annotated genomes to chart their proliferation or decline within defined synthetic and/or complex natural microbiota. This approach enables harnessing classical microbiological and diversity approaches, as well as omics tools and mathematical modeling to decipher the mechanisms underlying N+1/N-1 microbiota outcomes. Application of this concept further provides stepping stones and benchmarks for microbiome structure and function analyses and more complex microbiome intervention strategies.

从微生物组组成到功能工程,一步一个脚印。
微生物群落存在于地球上的所有栖息地,与农业、健康和气候有关。在各自的环境或宿主(微生物群)的背景下,破译决定微生物群动态和功能的机制至关重要。然而,大多数微生物组在分类学、代谢、功能和空间上的复杂性对推进我们对这些机制的认识构成了巨大挑战。虽然核酸测序技术可以高精度地绘制微生物群组成图,但我们大多缺乏关于给定微生物组中每种菌株的功能作用和相互作用的信息。这限制了我们预测自然栖息地微生物组功能的能力,以及在功能障碍或微生态失调的情况下,将微生物组重定向到稳定路径的能力。在这里,我们将讨论一种系统的方法(称为N+1/N-1概念),以实现微生物组组装和功能的逐步解剖,以及一次引入或消除一种特定微生物菌株的干预程序。N+1/N-1概念由自然入侵事件提供信息,并选择具有良好注释基因组的可培养、遗传可及的微生物,以在定义的合成和/或复杂的自然微生物群中绘制其增殖或衰退图。这种方法能够利用经典的微生物学和多样性方法,以及组学工具和数学建模来解读N+1/N-1微生物群结果的潜在机制。这一概念的应用进一步为微生物组结构和功能分析以及更复杂的微生物组干预策略提供了垫脚石和基准。
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来源期刊
CiteScore
18.80
自引率
0.80%
发文量
27
期刊介绍: Microbiology and Molecular Biology Reviews (MMBR), a journal that explores the significance and interrelationships of recent discoveries in various microbiology fields, publishes review articles that help both specialists and nonspecialists understand and apply the latest findings in their own research. MMBR covers a wide range of topics in microbiology, including microbial ecology, evolution, parasitology, biotechnology, and immunology. The journal caters to scientists with diverse interests in all areas of microbial science and encompasses viruses, bacteria, archaea, fungi, unicellular eukaryotes, and microbial parasites. MMBR primarily publishes authoritative and critical reviews that push the boundaries of knowledge, appealing to both specialists and generalists. The journal often includes descriptive figures and tables to enhance understanding. Indexed/Abstracted in various databases such as Agricola, BIOSIS Previews, CAB Abstracts, Cambridge Scientific Abstracts, Chemical Abstracts Service, Current Contents- Life Sciences, EMBASE, Food Science and Technology Abstracts, Illustrata, MEDLINE, Science Citation Index Expanded (Web of Science), Summon, and Scopus, among others.
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