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系统与合成生物学工程微生物组综述解读

整合 meta-omics、建模、互作网络和生物安全,把复杂微生物组转化为可干预系统。
系统生物学SynComsmicrobial consortia

文献信息

原文题名
Integrating Systems and Synthetic Biology to Understand and Engineer Microbiomes.
期刊 / 年份
Annual review of biomedical engineering / 2021
作者
Patrick A Leggieri, Yiyi Liu, Madeline Hayes, Bryce Connors, Susanna Seppälä, Michelle A O'Malley, Ophelia S Venturelli
DOI
PMID / PMCID
PMID: 33781078;PMCID: PMC8277735
证据边界
本文基于 PubMed 元数据与 PMC 开放全文/作者稿整理;用于快速理解综述框架,细节案例和图表请回到原文。

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整合 meta-omics、建模、互作网络和生物安全,把复杂微生物组转化为可干预系统。

阅读定位:这篇综述适合从“系统生物学”角度补齐混合培养 / 合成菌群主题,不是单一实验论文的结果复述。

核心解读

要点 1

meta-omics 和模型能帮助从相关性走向可干预控制点。

要点 2

空间、时间和环境尺度共同决定微生物组功能,不能只看组成表。

要点 3

生物安全和部署边界应纳入工程微生物组设计早期。

和专题导读的连接

摘要级内容摘记

Microbiomes are complex and ubiquitous networks of microorganisms whose seemingly limitless chemical transformations could be harnessed to benefit agriculture, medicine, and biotechnology. The spatial and temporal changes in microbiome composition and function are influenced by a multitude of molecular and ecological factors. This complexity yields both versatility and challenges in designing synthetic microbiomes and perturbing natural microbiomes in controlled, predictable ways. In this review, we describe factors that give rise to emergent spatial and temporal microbiome properties and the meta-omics and computational modeling tools that can be used to understand microbiomes at the cellular and system levels. We also describe strategies for designing and engineering microbiomes to enhance or build novel functions. Throughout the review, we discuss key knowledge and technology gaps for elucidating the networks and deciphering key control points for microbiome engineering, and highlight examples where multiple omics and modeling approaches can be integrated to address these gaps.

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