TY - JOUR
T1 - Designing microbial consortia with defined social interactions
AU - Kong, Wentao
AU - Meldgin, David R.
AU - Collins, James J.
AU - Lu, Ting
N1 - Publisher Copyright:
© 2018 The Author(s).
PY - 2018/8/1
Y1 - 2018/8/1
N2 - Designer microbial consortia are an emerging frontier in synthetic biology that enable versatile microbiome engineering. However, the utilization of such consortia is hindered by our limited capacity in rapidly creating ecosystems with desired dynamics. Here we present the development of synthetic communities through social interaction engineering that combines modular pathway reconfiguration with model creation. Specifically, we created six two-strain consortia, each possessing a unique mode of interaction, including commensalism, amensalism, neutralism, cooperation, competition and predation. These consortia follow distinct population dynamics with characteristics determined by the underlying interaction modes. We showed that models derived from two-strain consortia can be used to design three- and four-strain ecosystems with predictable behaviors and further extended to provide insights into community dynamics in space. This work sheds light on the organization of interacting microbial species and provides a systematic framework - social interaction programming - to guide the development of synthetic ecosystems for diverse purposes.
AB - Designer microbial consortia are an emerging frontier in synthetic biology that enable versatile microbiome engineering. However, the utilization of such consortia is hindered by our limited capacity in rapidly creating ecosystems with desired dynamics. Here we present the development of synthetic communities through social interaction engineering that combines modular pathway reconfiguration with model creation. Specifically, we created six two-strain consortia, each possessing a unique mode of interaction, including commensalism, amensalism, neutralism, cooperation, competition and predation. These consortia follow distinct population dynamics with characteristics determined by the underlying interaction modes. We showed that models derived from two-strain consortia can be used to design three- and four-strain ecosystems with predictable behaviors and further extended to provide insights into community dynamics in space. This work sheds light on the organization of interacting microbial species and provides a systematic framework - social interaction programming - to guide the development of synthetic ecosystems for diverse purposes.
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U2 - 10.1038/s41589-018-0091-7
DO - 10.1038/s41589-018-0091-7
M3 - Article
C2 - 29942078
AN - SCOPUS:85048964823
SN - 1552-4450
VL - 14
SP - 821
EP - 829
JO - Nature chemical biology
JF - Nature chemical biology
IS - 8
ER -