微生物群
功能(生物学)
数据科学
基因组
合成生物学
计算生物学
工程伦理学
人体微生物群
生物
人类微生物组计划
计算机科学
风险分析(工程)
知识管理
工程类
生物信息学
业务
进化生物学
基因
生物化学
作者
Christopher E. Lawson,William R. Harcombe,Roland Hatzenpichler,Stephen R. Lindemann,Frank E. Löffler,Michelle O’Malley,Héctor García Martín,Brian F. Pfleger,Lutgarde Raskin,Ophelia S. Venturelli,David G. Weissbrodt,Daniel R. Noguera,Katherine D. McMahon
标识
DOI:10.1038/s41579-019-0255-9
摘要
Despite broad scientific interest in harnessing the power of Earth’s microbiomes, knowledge gaps hinder their efficient use for addressing urgent societal and environmental challenges. We argue that structuring research and technology developments around a design–build–test–learn (DBTL) cycle will advance microbiome engineering and spur new discoveries of the basic scientific principles governing microbiome function. In this Review, we present key elements of an iterative DBTL cycle for microbiome engineering, focusing on generalizable approaches, including top-down and bottom-up design processes, synthetic and self-assembled construction methods, and emerging tools to analyse microbiome function. These approaches can be used to harness microbiomes for broad applications related to medicine, agriculture, energy and the environment. We also discuss key challenges and opportunities of each approach and synthesize them into best practice guidelines for engineering microbiomes. We anticipate that adoption of a DBTL framework will rapidly advance microbiome-based biotechnologies aimed at improving human and animal health, agriculture and enabling the bioeconomy. Microbiome engineering has many potential applications, ranging from agriculture to medicine. In this Review, Lawson, McMahon and colleagues guide us through the design–build–test–learn cycle that has been successful in many disciplines and explain how it applies to microbiome engineering.
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