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A Framework for the Systematic Selection of Biosensor Chassis for Environmental Synthetic Biology

[Image: see text] Microbial biosensors sense and report exposures to stimuli, thereby facilitating our understanding of environmental processes. Successful design and deployment of biosensors hinge on the persistence of the microbial host of the genetic circuit, termed the chassis. However, model ch...

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Autores principales: Sridhar, Swetha, Ajo-Franklin, Caroline M., Masiello, Caroline A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9486965/
https://www.ncbi.nlm.nih.gov/pubmed/35961652
http://dx.doi.org/10.1021/acssynbio.2c00079
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author Sridhar, Swetha
Ajo-Franklin, Caroline M.
Masiello, Caroline A.
author_facet Sridhar, Swetha
Ajo-Franklin, Caroline M.
Masiello, Caroline A.
author_sort Sridhar, Swetha
collection PubMed
description [Image: see text] Microbial biosensors sense and report exposures to stimuli, thereby facilitating our understanding of environmental processes. Successful design and deployment of biosensors hinge on the persistence of the microbial host of the genetic circuit, termed the chassis. However, model chassis organisms may persist poorly in environmental conditions. In contrast, non-model organisms persist better in environmental conditions but are limited by other challenges, such as genetic intractability and part unavailability. Here we identify ecological, metabolic, and genetic constraints for chassis development and propose a conceptual framework for the systematic selection of environmental biosensor chassis. We identify key challenges with using current model chassis and delineate major points of conflict in choosing the most suitable organisms as chassis for environmental biosensing. This framework provides a way forward in the selection of biosensor chassis for environmental synthetic biology.
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spelling pubmed-94869652022-09-21 A Framework for the Systematic Selection of Biosensor Chassis for Environmental Synthetic Biology Sridhar, Swetha Ajo-Franklin, Caroline M. Masiello, Caroline A. ACS Synth Biol [Image: see text] Microbial biosensors sense and report exposures to stimuli, thereby facilitating our understanding of environmental processes. Successful design and deployment of biosensors hinge on the persistence of the microbial host of the genetic circuit, termed the chassis. However, model chassis organisms may persist poorly in environmental conditions. In contrast, non-model organisms persist better in environmental conditions but are limited by other challenges, such as genetic intractability and part unavailability. Here we identify ecological, metabolic, and genetic constraints for chassis development and propose a conceptual framework for the systematic selection of environmental biosensor chassis. We identify key challenges with using current model chassis and delineate major points of conflict in choosing the most suitable organisms as chassis for environmental biosensing. This framework provides a way forward in the selection of biosensor chassis for environmental synthetic biology. American Chemical Society 2022-08-12 2022-09-16 /pmc/articles/PMC9486965/ /pubmed/35961652 http://dx.doi.org/10.1021/acssynbio.2c00079 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Sridhar, Swetha
Ajo-Franklin, Caroline M.
Masiello, Caroline A.
A Framework for the Systematic Selection of Biosensor Chassis for Environmental Synthetic Biology
title A Framework for the Systematic Selection of Biosensor Chassis for Environmental Synthetic Biology
title_full A Framework for the Systematic Selection of Biosensor Chassis for Environmental Synthetic Biology
title_fullStr A Framework for the Systematic Selection of Biosensor Chassis for Environmental Synthetic Biology
title_full_unstemmed A Framework for the Systematic Selection of Biosensor Chassis for Environmental Synthetic Biology
title_short A Framework for the Systematic Selection of Biosensor Chassis for Environmental Synthetic Biology
title_sort framework for the systematic selection of biosensor chassis for environmental synthetic biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9486965/
https://www.ncbi.nlm.nih.gov/pubmed/35961652
http://dx.doi.org/10.1021/acssynbio.2c00079
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