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Programming microbial population dynamics by engineered cell-cell communication.

Publication ,  Journal Article
Song, H; Payne, S; Tan, C; You, L
Published in: Biotechnology journal
July 2011

A major aim of synthetic biology is to program novel cellular behavior using engineered gene circuits. Early endeavors focused on building simple circuits that fulfill simple functions, such as logic gates, bistable toggle switches, and oscillators. These gene circuits have primarily focused on single-cell behaviors since they operate intracellularly. Thus, they are often susceptible to cell-cell variations due to stochastic gene expression. Cell-cell communication offers an efficient strategy to coordinate cellular behavior at the population level. To this end, we review recent advances in engineering cell-cell communication to achieve reliable population dynamics, spanning from communication within single species to multispecies, from one-way sender-receiver communication to two-way communication in synthetic microbial ecosystems. These engineered systems serve as well-defined model systems to better understand design principles of their naturally occurring counterparts and to facilitate novel biotechnology applications.

Duke Scholars

Published In

Biotechnology journal

DOI

EISSN

1860-7314

ISSN

1860-6768

Publication Date

July 2011

Volume

6

Issue

7

Start / End Page

837 / 849

Related Subject Headings

  • Synthetic Biology
  • Quorum Sensing
  • Models, Biological
  • Microbial Interactions
  • Cell Communication
  • Biotechnology
  • Bioengineering
  • 3106 Industrial biotechnology
  • 3101 Biochemistry and cell biology
  • 1004 Medical Biotechnology
 

Citation

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ICMJE
MLA
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Song, H., Payne, S., Tan, C., & You, L. (2011). Programming microbial population dynamics by engineered cell-cell communication. Biotechnology Journal, 6(7), 837–849. https://doi.org/10.1002/biot.201100132
Song, Hao, Stephen Payne, Cheemeng Tan, and Lingchong You. “Programming microbial population dynamics by engineered cell-cell communication.Biotechnology Journal 6, no. 7 (July 2011): 837–49. https://doi.org/10.1002/biot.201100132.
Song H, Payne S, Tan C, You L. Programming microbial population dynamics by engineered cell-cell communication. Biotechnology journal. 2011 Jul;6(7):837–49.
Song, Hao, et al. “Programming microbial population dynamics by engineered cell-cell communication.Biotechnology Journal, vol. 6, no. 7, July 2011, pp. 837–49. Epmc, doi:10.1002/biot.201100132.
Song H, Payne S, Tan C, You L. Programming microbial population dynamics by engineered cell-cell communication. Biotechnology journal. 2011 Jul;6(7):837–849.
Journal cover image

Published In

Biotechnology journal

DOI

EISSN

1860-7314

ISSN

1860-6768

Publication Date

July 2011

Volume

6

Issue

7

Start / End Page

837 / 849

Related Subject Headings

  • Synthetic Biology
  • Quorum Sensing
  • Models, Biological
  • Microbial Interactions
  • Cell Communication
  • Biotechnology
  • Bioengineering
  • 3106 Industrial biotechnology
  • 3101 Biochemistry and cell biology
  • 1004 Medical Biotechnology