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Biological and Molecular Components for Genetically Engineering Biosensors in Plants
Plants adapt to their changing environments by sensing and responding to physical, biological, and chemical stimuli. Due to their sessile lifestyles, plants experience a vast array of external stimuli and selectively perceive and respond to specific signals. By repurposing the logic circuitry and bi...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AAAS
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521658/ https://www.ncbi.nlm.nih.gov/pubmed/37850147 http://dx.doi.org/10.34133/2022/9863496 |
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author | Liu, Yang Yuan, Guoliang Hassan, Md Mahmudul Abraham, Paul E. Mitchell, Julie C. Jacobson, Daniel Tuskan, Gerald A. Khakhar, Arjun Medford, June Zhao, Cheng Liu, Chang-Jun Eckert, Carrie A. Doktycz, Mitchel J. Tschaplinski, Timothy J. Yang, Xiaohan |
author_facet | Liu, Yang Yuan, Guoliang Hassan, Md Mahmudul Abraham, Paul E. Mitchell, Julie C. Jacobson, Daniel Tuskan, Gerald A. Khakhar, Arjun Medford, June Zhao, Cheng Liu, Chang-Jun Eckert, Carrie A. Doktycz, Mitchel J. Tschaplinski, Timothy J. Yang, Xiaohan |
author_sort | Liu, Yang |
collection | PubMed |
description | Plants adapt to their changing environments by sensing and responding to physical, biological, and chemical stimuli. Due to their sessile lifestyles, plants experience a vast array of external stimuli and selectively perceive and respond to specific signals. By repurposing the logic circuitry and biological and molecular components used by plants in nature, genetically encoded plant-based biosensors (GEPBs) have been developed by directing signal recognition mechanisms into carefully assembled outcomes that are easily detected. GEPBs allow for in vivo monitoring of biological processes in plants to facilitate basic studies of plant growth and development. GEPBs are also useful for environmental monitoring, plant abiotic and biotic stress management, and accelerating design-build-test-learn cycles of plant bioengineering. With the advent of synthetic biology, biological and molecular components derived from alternate natural organisms (e.g., microbes) and/or de novo parts have been used to build GEPBs. In this review, we summarize the framework for engineering different types of GEPBs. We then highlight representative validated biological components for building plant-based biosensors, along with various applications of plant-based biosensors in basic and applied plant science research. Finally, we discuss challenges and strategies for the identification and design of biological components for plant-based biosensors. |
format | Online Article Text |
id | pubmed-10521658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AAAS |
record_format | MEDLINE/PubMed |
spelling | pubmed-105216582023-10-17 Biological and Molecular Components for Genetically Engineering Biosensors in Plants Liu, Yang Yuan, Guoliang Hassan, Md Mahmudul Abraham, Paul E. Mitchell, Julie C. Jacobson, Daniel Tuskan, Gerald A. Khakhar, Arjun Medford, June Zhao, Cheng Liu, Chang-Jun Eckert, Carrie A. Doktycz, Mitchel J. Tschaplinski, Timothy J. Yang, Xiaohan Biodes Res Review Article Plants adapt to their changing environments by sensing and responding to physical, biological, and chemical stimuli. Due to their sessile lifestyles, plants experience a vast array of external stimuli and selectively perceive and respond to specific signals. By repurposing the logic circuitry and biological and molecular components used by plants in nature, genetically encoded plant-based biosensors (GEPBs) have been developed by directing signal recognition mechanisms into carefully assembled outcomes that are easily detected. GEPBs allow for in vivo monitoring of biological processes in plants to facilitate basic studies of plant growth and development. GEPBs are also useful for environmental monitoring, plant abiotic and biotic stress management, and accelerating design-build-test-learn cycles of plant bioengineering. With the advent of synthetic biology, biological and molecular components derived from alternate natural organisms (e.g., microbes) and/or de novo parts have been used to build GEPBs. In this review, we summarize the framework for engineering different types of GEPBs. We then highlight representative validated biological components for building plant-based biosensors, along with various applications of plant-based biosensors in basic and applied plant science research. Finally, we discuss challenges and strategies for the identification and design of biological components for plant-based biosensors. AAAS 2022-11-09 /pmc/articles/PMC10521658/ /pubmed/37850147 http://dx.doi.org/10.34133/2022/9863496 Text en https://creativecommons.org/licenses/by/4.0/Exclusive Licensee Nanjing Agricultural University. Distributed under a Creative Commons Attribution License (CC BY 4.0). |
spellingShingle | Review Article Liu, Yang Yuan, Guoliang Hassan, Md Mahmudul Abraham, Paul E. Mitchell, Julie C. Jacobson, Daniel Tuskan, Gerald A. Khakhar, Arjun Medford, June Zhao, Cheng Liu, Chang-Jun Eckert, Carrie A. Doktycz, Mitchel J. Tschaplinski, Timothy J. Yang, Xiaohan Biological and Molecular Components for Genetically Engineering Biosensors in Plants |
title | Biological and Molecular Components for Genetically Engineering Biosensors in Plants |
title_full | Biological and Molecular Components for Genetically Engineering Biosensors in Plants |
title_fullStr | Biological and Molecular Components for Genetically Engineering Biosensors in Plants |
title_full_unstemmed | Biological and Molecular Components for Genetically Engineering Biosensors in Plants |
title_short | Biological and Molecular Components for Genetically Engineering Biosensors in Plants |
title_sort | biological and molecular components for genetically engineering biosensors in plants |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521658/ https://www.ncbi.nlm.nih.gov/pubmed/37850147 http://dx.doi.org/10.34133/2022/9863496 |
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