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Liu Y, Yuan G, Hassan MM, Abraham PE, Mitchell JC, Jacobson D, Tuskan GA, Khakhar A, Medford J, Zhao C, Liu CJ, Eckert CA, Doktycz MJ, Tschaplinski TJ, Yang X. Biological and Molecular Components for Genetically Engineering Biosensors in Plants. BIODESIGN RESEARCH 2022; 2022:9863496. [PMID: 37850147 PMCID: PMC10521658 DOI: 10.34133/2022/9863496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 10/08/2022] [Indexed: 10/19/2023] Open
Abstract
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.
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Affiliation(s)
- Yang Liu
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - Guoliang Yuan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
- The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - Md Mahmudul Hassan
- Department of Genetics and Plant Breeding, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh
| | - Paul E. Abraham
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
- The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - Julie C. Mitchell
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - Daniel Jacobson
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
- The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - Gerald A. Tuskan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
- The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - Arjun Khakhar
- Department of Biology, Colorado State University, Fort Collins, Colorado 80523, USA
| | - June Medford
- Department of Biology, Colorado State University, Fort Collins, Colorado 80523, USA
| | - Cheng Zhao
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Chang-Jun Liu
- Biology Department, Brookhaven National Laboratory, Upton, New York 11973, USA
| | - Carrie A. Eckert
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
- The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - Mitchel J. Doktycz
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - Timothy J. Tschaplinski
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
- The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - Xiaohan Yang
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
- The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
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Gupta D, Sharma G, Saraswat P, Ranjan R. Synthetic Biology in Plants, a Boon for Coming Decades. Mol Biotechnol 2021; 63:1138-1154. [PMID: 34420149 DOI: 10.1007/s12033-021-00386-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 08/16/2021] [Indexed: 02/01/2023]
Abstract
Recently an enormous expansion of knowledge is seen in various disciplines of science. This surge of information has given rise to concept of interdisciplinary fields, which has resulted in emergence of newer research domains, one of them is 'Synthetic Biology' (SynBio). It captures basics from core biology and integrates it with concepts from the other areas of study such as chemical, electrical, and computational sciences. The essence of synthetic biology is to rewire, re-program, and re-create natural biological pathways, which are carried through genetic circuits. A genetic circuit is a functional assembly of basic biological entities (DNA, RNA, proteins), created using typical design, built, and test cycles. These circuits allow scientists to engineer nearly all biological systems for various useful purposes. The development of sophisticated molecular tools, techniques, genomic programs, and ease of nucleic acid synthesis have further fueled several innovative application of synthetic biology in areas like molecular medicines, pharmaceuticals, biofuels, drug discovery, metabolomics, developing plant biosensors, utilization of prokaryotic systems for metabolite production, and CRISPR/Cas9 in the crop improvement. These applications have largely been dominated by utilization of prokaryotic systems. However, newer researches have indicated positive growth of SynBio for the eukaryotic systems as well. This paper explores advances of synthetic biology in the plant field by elaborating on its core components and potential applications. Here, we have given a comprehensive idea of designing, development, and utilization of synthetic biology in the improvement of the present research state of plant system.
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Affiliation(s)
- Dipinte Gupta
- Plant Biotechnology Lab, Department of Botany, Faculty of Science, Dayalbagh Educational Institute (Deemed to be University), Dayalbagh, Agra, 282005, India
| | - Gauri Sharma
- Plant Biotechnology Lab, Department of Botany, Faculty of Science, Dayalbagh Educational Institute (Deemed to be University), Dayalbagh, Agra, 282005, India
| | - Pooja Saraswat
- Plant Biotechnology Lab, Department of Botany, Faculty of Science, Dayalbagh Educational Institute (Deemed to be University), Dayalbagh, Agra, 282005, India
| | - Rajiv Ranjan
- Plant Biotechnology Lab, Department of Botany, Faculty of Science, Dayalbagh Educational Institute (Deemed to be University), Dayalbagh, Agra, 282005, India.
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Holland CK, Jez JM. Arabidopsis: the original plant chassis organism. PLANT CELL REPORTS 2018; 37:1359-1366. [PMID: 29663032 DOI: 10.1007/s00299-018-2286-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 04/11/2018] [Indexed: 05/20/2023]
Abstract
Arabidopsis thaliana (thale cress) has a past, current, and future role in the era of synthetic biology. Arabidopsis is one of the most well-studied plants with a wealth of genomics, genetics, and biochemical resources available for the metabolic engineer and synthetic biologist. Here we discuss the tools and resources that enable the identification of target genes and pathways in Arabidopsis and heterologous expression in this model plant. While there are numerous examples of engineering Arabidopsis for decreased lignin, increased seed oil, increased vitamins, and environmental remediation, this plant has provided biochemical tools for introducing Arabidopsis genes, pathways, and/or regulatory elements into other plants and microorganisms. Arabidopsis is not a vegetative or oilseed crop, but it is as an excellent model chassis for proof-of-concept metabolic engineering and synthetic biology experiments in plants.
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Affiliation(s)
- Cynthia K Holland
- Department of Biology, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Joseph M Jez
- Department of Biology, Washington University in St. Louis, St. Louis, MO, 63130, USA.
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Mukherjee P, Banerjee S, Wheeler A, Ratliff LA, Irigoyen S, Garcia LR, Lockless SW, Versaw WK. Live imaging of inorganic phosphate in plants with cellular and subcellular resolution. PLANT PHYSIOLOGY 2015; 167:628-38. [PMID: 25624397 PMCID: PMC4348774 DOI: 10.1104/pp.114.254003] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2014] [Accepted: 01/25/2015] [Indexed: 05/17/2023]
Abstract
Despite variable and often scarce supplies of inorganic phosphate (Pi) from soils, plants must distribute appropriate amounts of Pi to each cell and subcellular compartment to sustain essential metabolic activities. The ability to monitor Pi dynamics with subcellular resolution in live plants is, therefore, critical for understanding how this essential nutrient is acquired, mobilized, recycled, and stored. Fluorescence indicator protein for inorganic phosphate (FLIPPi) sensors are genetically encoded fluorescence resonance energy transfer-based sensors that have been used to monitor Pi dynamics in cultured animal cells. Here, we present a series of Pi sensors optimized for use in plants. Substitution of the enhanced yellow fluorescent protein component of a FLIPPi sensor with a circularly permuted version of Venus enhanced sensor dynamic range nearly 2.5-fold. The resulting circularly permuted FLIPPi sensor was subjected to a high-efficiency mutagenesis strategy that relied on statistical coupling analysis to identify regions of the protein likely to influence Pi affinity. A series of affinity mutants was selected with dissociation constant values of 0.08 to 11 mm, which span the range for most plant cell compartments. The sensors were expressed in Arabidopsis (Arabidopsis thaliana), and ratiometric imaging was used to monitor cytosolic Pi dynamics in root cells in response to Pi deprivation and resupply. Moreover, plastid-targeted versions of the sensors expressed in the wild type and a mutant lacking the PHOSPHATE TRANSPORT4;2 plastidic Pi transporter confirmed a physiological role for this transporter in Pi export from root plastids. These circularly permuted FLIPPi sensors, therefore, enable detailed analysis of Pi dynamics with subcellular resolution in live plants.
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Affiliation(s)
- Pallavi Mukherjee
- Department of Biology, Texas A&M University, College Station, Texas 77843
| | - Swayoma Banerjee
- Department of Biology, Texas A&M University, College Station, Texas 77843
| | - Amanda Wheeler
- Department of Biology, Texas A&M University, College Station, Texas 77843
| | - Lyndsay A Ratliff
- Department of Biology, Texas A&M University, College Station, Texas 77843
| | - Sonia Irigoyen
- Department of Biology, Texas A&M University, College Station, Texas 77843
| | - L Rene Garcia
- Department of Biology, Texas A&M University, College Station, Texas 77843
| | - Steve W Lockless
- Department of Biology, Texas A&M University, College Station, Texas 77843
| | - Wayne K Versaw
- Department of Biology, Texas A&M University, College Station, Texas 77843
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Hamers D, van Voorst Vader L, Borst JW, Goedhart J. Development of FRET biosensors for mammalian and plant systems. PROTOPLASMA 2014; 251:333-347. [PMID: 24337770 DOI: 10.1007/s00709-013-0590-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2013] [Accepted: 11/19/2013] [Indexed: 06/03/2023]
Abstract
Genetically encoded biosensors are increasingly used in visualising signalling processes in different organisms. Sensors based on green fluorescent protein technology are providing a great opportunity for using Förster resonance energy transfer (FRET) as a tool that allows for monitoring dynamic processes in living cells. The development of these FRET biosensors requires careful selection of fluorophores, substrates and recognition domains. In this review, we will discuss recent developments, strategies to create and optimise FRET biosensors and applications of FRET-based biosensors for use in the two major eukaryotic kingdoms and elaborate on different methods for FRET detection.
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Affiliation(s)
- Danny Hamers
- Laboratory of Biochemistry and Microspectroscopy Centre, Wageningen University, Wageningen, The Netherlands
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