Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1038/s41467-020-15056-8 |
Inducible cell-to-cell signaling for tunable dynamics in microbial communities | |
Miano, Arianna1,2; Liao, Michael J.1,2; Hasty, Jeff1,2,3 | |
2020-03-04 | |
发表期刊 | NATURE COMMUNICATIONS
![]() |
ISSN | 2041-1723 |
出版年 | 2020 |
卷号 | 11期号:1 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The last decade has seen bacteria at the forefront of biotechnological innovation, with applications including biomolecular computing, living therapeutics, microbiome engineering and microbial factories. These emerging applications are all united by the need to precisely control complex microbial dynamics in spatially extended environments, requiring tools that can bridge the gap between intracellular and population-level coordination. To address this need, we engineer an inducible quorum sensing system which enables precise tunability of bacterial dynamics both at the population and community level. As a proof-of-principle, we demonstrate the advantages of this system when genetically equipped for cargo delivery. In addition, we exploit the absence of cross-talk with respect to the majority of well-characterized quorum sensing systems to demonstrate inducibility of multi-strain communities. More broadly, this work highlights the unexplored potential of remotely inducible quorum sensing systems which, coupled to any gene of interest, may facilitate the translation of circuit designs into applications. |
领域 | 地球科学 ; 气候变化 ; 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000549161100003 |
WOS关键词 | ENGINEERING BACTERIA ; QUORUM ; COMMUNICATION ; EXPRESSION ; SYSTEM |
WOS类目 | Multidisciplinary Sciences |
WOS研究方向 | Science & Technology - Other Topics |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/249744 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA; 2.Univ Calif San Diego, BioCircuits Inst, La Jolla, CA 92093 USA; 3.Univ Calif San Diego, Mol Biol Sect, Div Biol Sci, La Jolla, CA 92093 USA |
推荐引用方式 GB/T 7714 | Miano, Arianna,Liao, Michael J.,Hasty, Jeff. Inducible cell-to-cell signaling for tunable dynamics in microbial communities[J]. NATURE COMMUNICATIONS,2020,11(1). |
APA | Miano, Arianna,Liao, Michael J.,&Hasty, Jeff.(2020).Inducible cell-to-cell signaling for tunable dynamics in microbial communities.NATURE COMMUNICATIONS,11(1). |
MLA | Miano, Arianna,et al."Inducible cell-to-cell signaling for tunable dynamics in microbial communities".NATURE COMMUNICATIONS 11.1(2020). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论