Your browser doesn't support javascript.
loading
Manipulating Bacterial Communities by in situ Microbiome Engineering.
Sheth, Ravi U; Cabral, Vitor; Chen, Sway P; Wang, Harris H.
Afiliação
  • Sheth RU; Department of Systems Biology, Columbia University Medical Center, New York, NY, USA; Integrated Program in Cellular, Molecular and Biomedical Studies, Columbia University Medical Center, New York, NY, USA.
  • Cabral V; Department of Systems Biology, Columbia University Medical Center, New York, NY, USA.
  • Chen SP; Department of Systems Biology, Columbia University Medical Center, New York, NY, USA; Integrated Program in Cellular, Molecular and Biomedical Studies, Columbia University Medical Center, New York, NY, USA.
  • Wang HH; Department of Systems Biology, Columbia University Medical Center, New York, NY, USA; Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA. Electronic address: hw2429@columbia.edu.
Trends Genet ; 32(4): 189-200, 2016 Apr.
Article em En | MEDLINE | ID: mdl-26916078
Microbial communities inhabit our entire planet and have a crucial role in biogeochemical processes, agriculture, biotechnology, and human health. Here, we argue that 'in situ microbiome engineering' represents a new paradigm of community-scale genetic and microbial engineering. We discuss contemporary applications of this approach to directly add, remove, or modify specific sets of functions and alter community-level properties in terrestrial, aquatic, and host-associated microbial communities. Specifically, we highlight emerging in situ genome engineering approaches as tractable techniques to manipulate microbial communities with high specificity and efficacy. Finally, we describe opportunities for technological innovation and ways to bridge existing knowledge gaps to accelerate the development of in situ approaches for microbiome manipulations.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Microbiota Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Microbiota Idioma: En Ano de publicação: 2016 Tipo de documento: Article