
doi: 10.1002/bit.26080
pmid: 27543759
ABSTRACTMicrobial cells have for many years been engineered to facilitate efficient production of biologics, chemicals, and other compounds. As the “metabolic” burden of synthetic genetic components can impair cell performance, microbial consortia are being developed to piece together specialized subpopulations that collectively produce desired products. Their use, however, has been limited by the inability to control their composition and function. One approach to leverage advantages of the division of labor within consortia is to link microbial subpopulations together through quorum sensing (QS) molecules. Previously, we directed the assembly of “quantized quorums,” microbial subpopulations that are parsed through QS activation, by the exogenous addition of QS signal molecules to QS synthase mutants. In this work, we develop a more facile and general platform for creating “quantized quorums.” Moreover, the methodology is not restricted to QS‐mutant populations. We constructed quorum quenching capsules that partition QS‐mediated phenotypes into discrete subpopulations. This compartmentalization guides QS subpopulations in a dose‐dependent manner, parsing cell populations into activated or deactivated groups. The capsular “devices” consist of polyelectrolyte alginate–chitosan beads that encapsulate high‐efficiency (HE) “controller cells” that, in turn, provide rapid uptake of the QS signal molecule AI‐2 from culture fluids. In this methodology, instead of adding AI‐2 to parse QS‐mutants into subpopulations, we engineered cells to encapsulate them into compartments, and they serve to deplete AI‐2 from wild‐type populations. These encapsulated bacteria therefore, provide orthogonal control of population composition while allowing only minimal interaction with the product‐producing cell population or consortia. We envision that compartmentalized control of QS should have applications in both metabolic engineering and human disease. Biotechnol. Bioeng. 2017;114: 407–415. © 2016 Wiley Periodicals, Inc.
Phenotype, Bacteria, Metabolic Engineering, Microbial Consortia, Quorum Sensing, Models, Biological
Phenotype, Bacteria, Metabolic Engineering, Microbial Consortia, Quorum Sensing, Models, Biological
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
