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Engineering consortia by polymeric microbial swarmbots

delete2022-07-05
delete47
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OA
AI
L
Lin Wang
X
Xi Zhang
C
Chenwang Tang
P
Pengcheng Li
R
Runtao Zhu
孙静 封面图
孙静 (Jing Sun)
张
张运丰 (Yunfeng Zhang)
H
Hua Cui
J
Jiajia Ma
X
Xinyu Song
张
张蔚文 (Weiwen Zhang)
X
Xiang Gao
X
Xiaozhou Luo
L
Lingchong You
Y
Ye Chen
戴
戴卓君 (Zhuojun Dai) *
DOI:10.1038/s41467-022-31467-1delete
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摘要

摘要

En 中文
Most attempts to co-cultivate the artificial microbial communities fail mostly due to the mismatched rates of consumption and production of nutrients among subpopulations. Here, the authors develop a microbial swarmbot mediated spatial segregation method to assemble stably coexisting consortia with both flexibility and precision. Synthetic microbial consortia represent a new frontier for synthetic biology given that they can solve more complex problems than monocultures. However, most attempts to co-cultivate these artificial communities fail because of the winner-takes-all in nutrients competition. In soil, multiple species can coexist with a spatial organization. Inspired by nature, here we show that an engineered spatial segregation method can assemble stable consortia with both flexibility and precision. We create microbial swarmbot consortia (MSBC) by encapsulating subpopulations with polymeric microcapsules. The crosslinked structure of microcapsules fences microbes, but allows the transport of small molecules and proteins. MSBC method enables the assembly of various synthetic communities and the precise control over the subpopulations. These capabilities can readily modulate the division of labor and communication. Our work integrates the synthetic biology and material science to offer insights into consortia assembly and serve as foundation to diverse applications from biomanufacturing to engineered photosynthesis.
Keyword:
BACTERIA
MICROFLUIDICS
PARAOXONASE
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Nature Communications 封面图
Nature Communications
IF:
15.7
论文数:
9.4W
被引数:
91.2W

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S
shenzhen institute of advanced technology, cas
学者数:
5.6K
论文数: 4.5K
被引数: 7
C
chinese academy of sciences
学者数:
56.7W
论文数: 45.0W
被引数: 704
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