Sridhar, SwethaAjo-Franklin, Caroline M.Masiello, Caroline A.2022-09-292022-09-292022Sridhar, Swetha, Ajo-Franklin, Caroline M. and Masiello, Caroline A.. "A Framework for the Systematic Selection of Biosensor Chassis for Environmental Synthetic Biology." <i>ACS Synthetic Biology,</i> 11, no. 9 (2022) American Chemical Society: 2909-2916. https://doi.org/10.1021/acssynbio.2c00079.https://hdl.handle.net/1911/113439Microbial 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.engThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licenseJournal articleacssynbio-2c00079https://doi.org/10.1021/acssynbio.2c00079