Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.
Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA; Department of Computer Science and Engineering, University of Washington, Seattle, WA 98195, USA; Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 6997801, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel; Santa Fe Institute, Santa Fe, NM 87501, USA.
Curr Opin Biotechnol. 2019 Aug;58:117-128. doi: 10.1016/j.copbio.2019.03.002. Epub 2019 Apr 3.
Microbial communities can perform a variety of behaviors that are useful in both therapeutic and industrial settings. Engineered communities that differ in composition from naturally occurring communities offer a unique opportunity for improving upon existing community functions and expanding the range of microbial community applications. This has prompted recent advances in various community design approaches including artificial selection procedures, reduction from existing communities, combinatorial evaluation of potential microbial combinations, and model-based in silico community optimization. Computational methods in particular offer a likely avenue toward improved synthetic community development going forward. This review introduces each class of design approach and surveys their recent applications and notable innovations, closing with a discussion of existing design challenges and potential opportunities for advancement.
微生物群落可以执行多种在治疗和工业环境中都很有用的行为。与自然发生的群落在组成上有所不同的工程化群落为改善现有群落功能和扩展微生物群落应用范围提供了独特的机会。这促使人们在各种群落设计方法方面取得了最近的进展，包括人工选择程序、从现有群落中减少、潜在微生物组合的组合评估以及基于模型的计算机群落优化。特别是计算方法为改进合成群落的发展提供了一条可能的途径。本综述介绍了每一类设计方法，并调查了它们最近的应用和显著的创新，最后讨论了现有的设计挑战和潜在的发展机会。
