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A Metabolome- and Metagenome-Wide Association Network Reveals Microbial Natural Products and Microbial Biotransformation Products from the Human Microbiota.代谢组和宏基因组全关联网络揭示了人类微生物群中的微生物天然产物和微生物生物转化产物。
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Proteomic and Metabolomic Characteristics of Extremophilic Fungi Under Simulated Mars Conditions.模拟火星条件下嗜极真菌的蛋白质组学和代谢组学特征
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Modeling Meets Metabolomics-The WormJam Consensus Model as Basis for Metabolic Studies in the Model Organism .建模与代谢组学相遇——蠕虫研讨会共识模型作为模式生物代谢研究的基础
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代谢组学作为寻找具有天体生物学相关性生物标志物的新兴工具。

Metabolomics as an Emerging Tool in the Search for Astrobiologically Relevant Biomarkers.

机构信息

Department of Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA.

Blue Marble Space Institute of Science, Seattle, Washington, USA.

出版信息

Astrobiology. 2020 Oct;20(10):1251-1261. doi: 10.1089/ast.2019.2135. Epub 2020 Jun 17.

DOI:10.1089/ast.2019.2135
PMID:32551936
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7116171/
Abstract

It is now routinely possible to sequence and recover microbial genomes from environmental samples. To the degree it is feasible to assign transcriptional and translational functions to these genomes, it should be possible, in principle, to largely understand the complete molecular inputs and outputs of a microbial community. However, gene-based tools alone are presently insufficient to describe the full suite of chemical reactions and small molecules that compose a living cell. Metabolomic tools have developed quickly and now enable rapid detection and identification of small molecules within biological and environmental samples. The convergence of these technologies will soon facilitate the detection of novel enzymatic activities, novel organisms, and potentially extraterrestrial life-forms on solar system bodies. This review explores the methodological problems and scientific opportunities facing researchers who hope to apply metabolomic methods in astrobiology-related fields, and how present challenges might be overcome.

摘要

现在通常可以从环境样本中测序和恢复微生物基因组。在可行的范围内,将转录和翻译功能分配给这些基因组,原则上,应该有可能在很大程度上了解微生物群落的完整分子输入和输出。然而,仅基于基因的工具目前还不足以描述构成活细胞的全套化学反应和小分子。代谢组学工具发展迅速,现在能够快速检测和识别生物和环境样本中的小分子。这些技术的融合将很快促进在太阳系天体上检测新的酶活性、新的生物和潜在的外星生命形式。这篇综述探讨了希望在与天体生物学相关的领域应用代谢组学方法的研究人员所面临的方法学问题和科学机遇,以及如何克服当前的挑战。