A new era of synthetic biology—microbial community design

Author:

Matuszyńska Anna12ORCID,Ebenhöh Oliver23ORCID,Zurbriggen Matias D24,Ducat Daniel C567,Axmann Ilka M27ORCID

Affiliation:

1. Computational Life Science, Department of Biology, RWTH Aachen University , Aachen 52074, Germany

2. Cluster of Excellence on Plant Sciences, CEPLAS, Heinrich Heine University Düsseldorf , Düsseldorf 40225, Germany

3. Institute of Quantitative and Theoretical Biology, Heinrich Heine University Düsseldorf , Düsseldorf 40225, Germany

4. Institute of Synthetic Biology, Heinrich Heine University Düsseldorf , Düsseldorf 40225, Germany

5. MSU-DOE Plant Research Laboratory, Michigan State University , East Lansing, MI 48824, United States

6. Department of Biochemistry & Molecular Biology, Michigan State University , East Lansing, MI 48824, United States

7. Institute for Synthetic Microbiology, Heinrich Heine University Düsseldorf , Düsseldorf 40225, Germany

Abstract

Abstract Synthetic biology conceptualizes biological complexity as a network of biological parts, devices, and systems with predetermined functionalities and has had a revolutionary impact on fundamental and applied research. With the unprecedented ability to synthesize and transfer any DNA and RNA across organisms, the scope of synthetic biology is expanding and being recreated in previously unimaginable ways. The field has matured to a level where highly complex networks, such as artificial communities of synthetic organisms, can be constructed. In parallel, computational biology became an integral part of biological studies, with computational models aiding the unravelling of the escalating complexity and emerging properties of biological phenomena. However, there is still a vast untapped potential for the complete integration of modelling into the synthetic design process, presenting exciting opportunities for scientific advancements. Here, we first highlight the most recent advances in computer-aided design of microbial communities. Next, we propose that such a design can benefit from an organism-free modular modelling approach that places its emphasis on modules of organismal function towards the design of multispecies communities. We argue for a shift in perspective from single organism–centred approaches to emphasizing the functional contributions of organisms within the community. By assembling synthetic biological systems using modular computational models with mathematical descriptions of parts and circuits, we can tailor organisms to fulfil specific functional roles within the community. This approach aligns with synthetic biology strategies and presents exciting possibilities for the design of artificial communities. Graphical Abstract  

Funder

National Science Foundation

Deutsche Forschungsgemeinschaft

Publisher

Oxford University Press (OUP)

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