ReviewACS synthetic biology2022
A Framework for the Systematic Selection of Biosensor Chassis for Environmental Synthetic Biology.
Review in ACS synthetic biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Enhancing the Secretion Systems: Genetic Engineering of Super Bioagents for Effective Plant Disease Control.Biotechnology and bioengineering · 2026Review
- Rhizosphere Microbiome Engineering for Climate-Smart Agriculture: From Synthetic Consortia to Precision Decision Support.Microorganisms · 2026Review
- Fine-Tuning Genetic Circuits via Host Context and RBS Modulation.ACS synthetic biology · 2025Article
- The elimination of two restriction enzyme genes allows for electroporation-based transformation and CRISPR-Cas9-based base editing in the non-competent Gram-negative bacteriumApplied and environmental microbiology · 2024Article
- Long-duration environmental biosensing by recording analyte detection in DNA using recombinase memory.Applied and environmental microbiology · 2024Article
- Soil microbiome engineering for sustainability in a changing environment.Nature biotechnology · 2023Review
- Engineering microbes to overproduce natural products as agrochemicals.Synthetic and systems biotechnology · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.