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Wu L, Shao H, Li J, Chen C, Hu N, Yang B, Weng H, Xiang L, Ye D. Noninvasive Abiotic Stress Phenotyping of Vascular Plant in Each Vegetative Organ View. PLANT PHENOMICS (WASHINGTON, D.C.) 2024; 6:0180. [PMID: 38779576 PMCID: PMC11109595 DOI: 10.34133/plantphenomics.0180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 03/29/2024] [Indexed: 05/25/2024]
Abstract
The last decades have witnessed a rapid development of noninvasive plant phenotyping, capable of detecting plant stress scale levels from the subcellular to the whole population scale. However, even with such a broad range, most phenotyping objects are often just concerned with leaves. This review offers a unique perspective of noninvasive plant stress phenotyping from a multi-organ view. First, plant sensing and responding to abiotic stress from the diverse vegetative organs (leaves, stems, and roots) and the interplays between these vital components are analyzed. Then, the corresponding noninvasive optical phenotyping techniques are also provided, which can prompt the practical implementation of appropriate noninvasive phenotyping techniques for each organ. Furthermore, we explore methods for analyzing compound stress situations, as field conditions frequently encompass multiple abiotic stressors. Thus, our work goes beyond the conventional approach of focusing solely on individual plant organs. The novel insights of the multi-organ, noninvasive phenotyping study provide a reference for testing hypotheses concerning the intricate dynamics of plant stress responses, as well as the potential interactive effects among various stressors.
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Affiliation(s)
- Libin Wu
- College of Mechanical and Electrical Engineering,
Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Key Laboratory of Agricultural Information Sensing Technology, College of Mechanical and Electrical Engineering,
Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Han Shao
- College of Mechanical and Electrical Engineering,
Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Center for Artificial Intelligence in Agriculture, School of Future Technology,
Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Jiayi Li
- College of Mechanical and Electrical Engineering,
Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Key Laboratory of Agricultural Information Sensing Technology, College of Mechanical and Electrical Engineering,
Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Chen Chen
- College of Mechanical and Electrical Engineering,
Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Key Laboratory of Agricultural Information Sensing Technology, College of Mechanical and Electrical Engineering,
Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Nana Hu
- College of Mechanical and Electrical Engineering,
Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Center for Artificial Intelligence in Agriculture, School of Future Technology,
Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Biyun Yang
- College of Mechanical and Electrical Engineering,
Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Key Laboratory of Agricultural Information Sensing Technology, College of Mechanical and Electrical Engineering,
Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Haiyong Weng
- College of Mechanical and Electrical Engineering,
Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Key Laboratory of Agricultural Information Sensing Technology, College of Mechanical and Electrical Engineering,
Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Lirong Xiang
- Department of Biological and Agricultural Engineering,
North Carolina State University, Raleigh, NC 27606, USA
| | - Dapeng Ye
- College of Mechanical and Electrical Engineering,
Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Key Laboratory of Agricultural Information Sensing Technology, College of Mechanical and Electrical Engineering,
Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
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2
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Jiang N, Zhu XG. Modern phenomics to empower holistic crop science, agronomy, and breeding research. J Genet Genomics 2024:S1673-8527(24)00102-4. [PMID: 38734136 DOI: 10.1016/j.jgg.2024.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 04/25/2024] [Accepted: 04/30/2024] [Indexed: 05/13/2024]
Abstract
Crop phenomics enables the collection of diverse plant traits for a large number of samples along different time scales, representing a greater data collection throughput compared with traditional measurements. Most modern crop phenomics use different sensors to collect reflective, emitted, and fluorescence signals, etc., from plant organs at different spatial and temporal resolutions. Such multi-modal, high-dimensional data not only accelerates basic research on crop physiology, genetics, and whole plant systems modeling, but also supports the optimization of field agronomic practices, internal environments of plant factories, and ultimately crop breeding. Major challenges and opportunities facing the current crop phenomics research community include developing community consensus or standards for data collection, management, sharing, and processing, developing capabilities to measure physiological parameters, and enabling farmers and breeders to effectively use phenomics in the field to directly support agricultural production.
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Affiliation(s)
- Ni Jiang
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Xin-Guang Zhu
- Center of Excellence for Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai 200032, China.
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3
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Kulhánek M, Asrade DA, Suran P, Sedlář O, Černý J, Balík J. Plant Nutrition-New Methods Based on the Lessons of History: A Review. PLANTS (BASEL, SWITZERLAND) 2023; 12:4150. [PMID: 38140480 PMCID: PMC10747035 DOI: 10.3390/plants12244150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 12/08/2023] [Accepted: 12/10/2023] [Indexed: 12/24/2023]
Abstract
As with new technologies, plant nutrition has taken a big step forward in the last two decades. The main objective of this review is to briefly summarise the main pathways in modern plant nutrition and attract potential researchers and publishers to this area. First, this review highlights the importance of long-term field experiments, which provide us with valuable information about the effects of different applied strategies. The second part is dedicated to the new analytical technologies (tomography, spectrometry, and chromatography), intensively studied environments (rhizosphere, soil microbial communities, and enzymatic activity), nutrient relationship indexes, and the general importance of proper data evaluation. The third section is dedicated to the strategies of plant nutrition, i.e., (i) plant breeding, (ii) precision farming, (iii) fertiliser placement, (iv) biostimulants, (v) waste materials as a source of nutrients, and (vi) nanotechnologies. Finally, the increasing environmental risks related to plant nutrition, including biotic and abiotic stress, mainly the threat of soil salinity, are mentioned. In the 21st century, fertiliser application trends should be shifted to local application, precise farming, and nanotechnology; amended with ecofriendly organic fertilisers to ensure sustainable agricultural practices; and supported by new, highly effective crop varieties. To optimise agriculture, only the combination of the mentioned modern strategies supported by a proper analysis based on long-term observations seems to be a suitable pathway.
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Affiliation(s)
- Martin Kulhánek
- Department of Agro-Environmental Chemistry and Plant Nutrition, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences, 165 00 Prague, Czech Republic; (D.A.A.); (P.S.); (O.S.); (J.Č.); (J.B.)
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4
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Anshori MF, Dirpan A, Sitaresmi T, Rossi R, Farid M, Hairmansis A, Sapta Purwoko B, Suwarno WB, Nugraha Y. An overview of image-based phenotyping as an adaptive 4.0 technology for studying plant abiotic stress: A bibliometric and literature review. Heliyon 2023; 9:e21650. [PMID: 38027954 PMCID: PMC10660044 DOI: 10.1016/j.heliyon.2023.e21650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 09/20/2023] [Accepted: 10/25/2023] [Indexed: 12/01/2023] Open
Abstract
Improving the tolerance of crop species to abiotic stresses that limit plant growth and productivity is essential for mitigating the emerging problems of global warming. In this context, imaged data analysis represents an effective method in the 4.0 technology era, where this method has the non-destructive and recursive characterization of plant phenotypic traits as selection criteria. So, the plant breeders are helped in the development of adapted and climate-resilient crop varieties. Although image-based phenotyping has recently resulted in remarkable improvements for identifying the crop status under a range of growing conditions, the topic of its application for assessing the plant behavioral responses to abiotic stressors has not yet been extensively reviewed. For such a purpose, bibliometric analysis is an ideal analytical concept to analyze the evolution and interplay of image-based phenotyping to abiotic stresses by objectively reviewing the literature in light of existing database. Bibliometricy, a bibliometric analysis was applied using a systematic methodology which involved data mining, mining data improvement and analysis, and manuscript construction. The obtained results indicate that there are 554 documents related to image-based phenotyping to abiotic stress until 5 January 2023. All document showed the future development trends of image-based phenotyping will be mainly centered in the United States, European continent and China. The keywords analysis major focus to the application of 4.0 technology and machine learning in plant breeding, especially to create the tolerant variety under abiotic stresses. Drought and saline become an abiotic stress often using image-based phenotyping. Besides that, the rice, wheat and maize as the main commodities in this topic. In conclusion, the present work provides information on resolutive interactions in developing image-based phenotyping to abiotic stress, especially optimizing high-throughput sensors in image-based phenotyping for the future development.
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Affiliation(s)
| | - Andi Dirpan
- Department of Agricultural Technology, Hasanuddin University, Makassar, 90245, Indonesia
- Center of Excellence in Science and Technology on Food Product Diversification, 90245, Makassar, Indonesia
| | - Trias Sitaresmi
- Research Center for Food Crops, Research Organization for Agriculture and Food, National Research and Innovation Agency, 16911, Cibinong, Indonesia
| | - Riccardo Rossi
- Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence (UNIFI), Piazzale delle Cascine 18, 50144, Florence, Italy
| | - Muh Farid
- Department of Agronomy, Hasanuddin University, Makassar, 90245, Indonesia
| | - Aris Hairmansis
- Research Center for Food Crops, Research Organization for Agriculture and Food, National Research and Innovation Agency, 16911, Cibinong, Indonesia
| | - Bambang Sapta Purwoko
- Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, 11680, Indonesia
| | - Willy Bayuardi Suwarno
- Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, 11680, Indonesia
| | - Yudhistira Nugraha
- Research Center for Food Crops, Research Organization for Agriculture and Food, National Research and Innovation Agency, 16911, Cibinong, Indonesia
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Lu Y, Fricke W. Diurnal changes in apoplast bypass flow of water and ions in salt-stressed wheat (Triticum aestivum L.) and barley (Hordeum vulgare L.). PHYSIOLOGIA PLANTARUM 2023; 175:e13955. [PMID: 37323067 DOI: 10.1111/ppl.13955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 05/29/2023] [Accepted: 06/14/2023] [Indexed: 06/17/2023]
Abstract
The aim of the present study was to quantify the contribution of apoplastic bypass flow to the uptake of water and salt across the root cylinder of wheat and barley during day and night. Plants were grown on hydroponics until they were 14-17 days old and then analysed over a single day (16 h) or night (8 h) period while being exposed to different concentrations of NaCl (50, 100, 150 and 200 mM NaCl). Exposure to salt started just before the experiment (short-term stress) or had started 6d before (longer-term stress). Bypass flow was quantified using the apoplastic tracer dye 8-hydroxy-1,3,6-pyrenesulphonic acid (PTS). The percent contribution of bypass flow to root water uptake increased in response to salt stress and during the night and amounted to up to 4.4%. Bypass flow across the root cylinder of Na+ and Cl- made up 2%-12% of the net delivery of these ions to the shoot; this percentage changed little (wheat) or decreased (barley) during the night. Changes in the contribution of bypass flow to the net uptake of water, Na+ and Cl- in response to salt stress and day/night are the combined result of changes in xylem tension, the contribution of alternative cell-to-cell flow path and the requirement to generate xylem osmotic pressure.
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Affiliation(s)
- Yingying Lu
- School of Biology and Environmental Sciences, University College Dublin, Dublin, Republic of Ireland
| | - Wieland Fricke
- School of Biology and Environmental Sciences, University College Dublin, Dublin, Republic of Ireland
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6
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Ye D, Wu L, Li X, Atoba TO, Wu W, Weng H. A Synthetic Review of Various Dimensions of Non-Destructive Plant Stress Phenotyping. PLANTS (BASEL, SWITZERLAND) 2023; 12:1698. [PMID: 37111921 PMCID: PMC10146287 DOI: 10.3390/plants12081698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 04/08/2023] [Accepted: 04/16/2023] [Indexed: 06/19/2023]
Abstract
Non-destructive plant stress phenotyping begins with traditional one-dimensional (1D) spectroscopy, followed by two-dimensional (2D) imaging, three-dimensional (3D) or even temporal-three-dimensional (T-3D), spectral-three-dimensional (S-3D), and temporal-spectral-three-dimensional (TS-3D) phenotyping, all of which are aimed at observing subtle changes in plants under stress. However, a comprehensive review that covers all these dimensional types of phenotyping, ordered in a spatial arrangement from 1D to 3D, as well as temporal and spectral dimensions, is lacking. In this review, we look back to the development of data-acquiring techniques for various dimensions of plant stress phenotyping (1D spectroscopy, 2D imaging, 3D phenotyping), as well as their corresponding data-analyzing pipelines (mathematical analysis, machine learning, or deep learning), and look forward to the trends and challenges of high-performance multi-dimension (integrated spatial, temporal, and spectral) phenotyping demands. We hope this article can serve as a reference for implementing various dimensions of non-destructive plant stress phenotyping.
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Affiliation(s)
- Dapeng Ye
- College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Key Laboratory of Agricultural Information Sensing Technology, College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Libin Wu
- College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Key Laboratory of Agricultural Information Sensing Technology, College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Xiaobin Li
- College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Key Laboratory of Agricultural Information Sensing Technology, College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Tolulope Opeyemi Atoba
- College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Key Laboratory of Agricultural Information Sensing Technology, College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Wenhao Wu
- College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Key Laboratory of Agricultural Information Sensing Technology, College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Haiyong Weng
- College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Fujian Key Laboratory of Agricultural Information Sensing Technology, College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China
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7
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Firth G, Blower JE, Bartnicka JJ, Mishra A, Michaels AM, Rigby A, Darwesh A, Al-Salemee F, Blower PJ. Non-invasive radionuclide imaging of trace metal trafficking in health and disease: "PET metallomics". RSC Chem Biol 2022; 3:495-518. [PMID: 35656481 PMCID: PMC9092424 DOI: 10.1039/d2cb00033d] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 04/07/2022] [Indexed: 12/05/2022] Open
Abstract
Several specific metallic elements must be present in the human body to maintain health and function. Maintaining the correct quantity (from trace to bulk) and location at the cell and tissue level is essential. The study of the biological role of metals has become known as metallomics. While quantities of metals in cells and tissues can be readily measured in biopsy and autopsy samples by destructive analytical techniques, their trafficking and its role in health and disease are poorly understood. Molecular imaging with radionuclides - positron emission tomography (PET) and single photon emission computed tomography (SPECT) - is emerging as a means to non-invasively study the acute trafficking of essential metals between organs, non-invasively and in real time, in health and disease. PET scanners are increasingly widely available in hospitals, and methods for producing radionuclides of some of the key essential metals are developing fast. This review summarises recent developments in radionuclide imaging technology that permit such investigations, describes the radiological and physicochemical properties of key radioisotopes of essential trace metals and useful analogues, and introduces current and potential future applications in preclinical and clinical investigations to study the biology of essential trace metals in health and disease.
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Affiliation(s)
- George Firth
- School of Biomedical Engineering & Imaging Sciences, King's College London, St. Thomas' Hospital London UK
| | - Julia E Blower
- School of Biomedical Engineering & Imaging Sciences, King's College London, St. Thomas' Hospital London UK
| | - Joanna J Bartnicka
- School of Biomedical Engineering & Imaging Sciences, King's College London, St. Thomas' Hospital London UK
| | - Aishwarya Mishra
- School of Biomedical Engineering & Imaging Sciences, King's College London, St. Thomas' Hospital London UK
| | - Aidan M Michaels
- School of Biomedical Engineering & Imaging Sciences, King's College London, St. Thomas' Hospital London UK
| | - Alex Rigby
- School of Biomedical Engineering & Imaging Sciences, King's College London, St. Thomas' Hospital London UK
| | - Afnan Darwesh
- School of Biomedical Engineering & Imaging Sciences, King's College London, St. Thomas' Hospital London UK
| | - Fahad Al-Salemee
- School of Biomedical Engineering & Imaging Sciences, King's College London, St. Thomas' Hospital London UK
| | - Philip J Blower
- School of Biomedical Engineering & Imaging Sciences, King's College London, St. Thomas' Hospital London UK
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Adler SS, Seidel J, Choyke PL. Advances in Preclinical PET. Semin Nucl Med 2022; 52:382-402. [PMID: 35307164 PMCID: PMC9038721 DOI: 10.1053/j.semnuclmed.2022.02.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 02/11/2022] [Accepted: 02/14/2022] [Indexed: 12/18/2022]
Abstract
The classical intent of PET imaging is to obtain the most accurate estimate of the amount of positron-emitting radiotracer in the smallest possible volume element located anywhere in the imaging subject at any time using the least amount of radioactivity. Reaching this goal, however, is confounded by an enormous array of interlinked technical issues that limit imaging system performance. As a result, advances in PET, human or animal, are the result of cumulative innovations across each of the component elements of PET, from data acquisition to image analysis. In the report that follows, we trace several of these advances across the imaging process with a focus on small animal PET.
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Affiliation(s)
- Stephen S Adler
- Frederick National Laboratory for Cancer Research, Frederick, MD; Molecular Imaging Branch, National Cancer Institute, Bethesda MD
| | - Jurgen Seidel
- Contractor to Frederick National Laboratory for Cancer Research, Leidos biodical Research, Inc., Frederick, MD; Molecular Imaging Branch, National Cancer Institute, Bethesda MD
| | - Peter L Choyke
- Molecular Imaging Branch, National Cancer Institute, Bethesda MD.
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Antonecchia E, Bäcker M, Cafolla D, Ciardiello M, Kühl C, Pagnani G, Wang J, Wang S, Zhou F, D'Ascenzo N, Gialanella L, Pisante M, Rose G, Xie Q. Design Study of a Novel Positron Emission Tomography System for Plant Imaging. FRONTIERS IN PLANT SCIENCE 2022; 12:736221. [PMID: 35116047 PMCID: PMC8805640 DOI: 10.3389/fpls.2021.736221] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 12/06/2021] [Indexed: 06/14/2023]
Abstract
Positron Emission Tomography is a non-disruptive and high-sensitive digital imaging technique which allows to measure in-vivo and non invasively the changes of metabolic and transport mechanisms in plants. When it comes to the early assessment of stress-induced alterations of plant functions, plant PET has the potential of a major breakthrough. The development of dedicated plant PET systems faces a series of technological and experimental difficulties, which make conventional clinical and preclinical PET systems not fully suitable to agronomy. First, the functional and metabolic mechanisms of plants depend on environmental conditions, which can be controlled during the experiment if the scanner is transported into the growing chamber. Second, plants need to be imaged vertically, thus requiring a proper Field Of View. Third, the transverse Field of View needs to adapt to the different plant shapes, according to the species and the experimental protocols. In this paper, we perform a simulation study, proposing a novel design of dedicated plant PET scanners specifically conceived to address these agronomic issues. We estimate their expected sensitivity, count rate performance and spatial resolution, and we identify these specific features, which need to be investigated when realizing a plant PET scanner. Finally, we propose a novel approach to the measurement and verification of the performance of plant PET systems, including the design of dedicated plant phantoms, in order to provide a standard evaluation procedure for this emerging digital imaging agronomic technology.
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Affiliation(s)
- Emanuele Antonecchia
- Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, China
- Istituto Neurologico Mediterraneo, NEUROMED I.R.C.C.S, Pozzilli, Italy
| | - Markus Bäcker
- Institute for Medical Engineering and Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany
| | - Daniele Cafolla
- Istituto Neurologico Mediterraneo, NEUROMED I.R.C.C.S, Pozzilli, Italy
| | | | - Charlotte Kühl
- Institute for Medical Engineering and Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany
| | - Giancarlo Pagnani
- Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy
| | - Jiale Wang
- School of Information and Communication Engineering, University of Electronics Science and Technology of China, Chengdu, China
- Yangtze Delta Region Institute of University of Science and Technology of China, Quzhou, China
| | - Shuai Wang
- School of Information and Communication Engineering, University of Electronics Science and Technology of China, Chengdu, China
- Yangtze Delta Region Institute of University of Science and Technology of China, Quzhou, China
| | - Feng Zhou
- Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, China
| | - Nicola D'Ascenzo
- Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, China
- Istituto Neurologico Mediterraneo, NEUROMED I.R.C.C.S, Pozzilli, Italy
| | - Lucio Gialanella
- Department of Mathematics and Physics, University of Campania L. Vanvitelli, Caserta, Italy
| | - Michele Pisante
- Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy
| | - Georg Rose
- Institute for Medical Engineering and Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany
| | - Qingguo Xie
- Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, China
- Istituto Neurologico Mediterraneo, NEUROMED I.R.C.C.S, Pozzilli, Italy
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China
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Komarov S, Tai YC. Positron Emission Tomography (PET) for Molecular Plant Imaging. Methods Mol Biol 2022; 2539:97-118. [PMID: 35895200 DOI: 10.1007/978-1-0716-2537-8_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Positron emission tomography (PET) is an imaging technology that measures 3D spatial distribution and kinetics of radio-tagged biomolecules in a living subject quantitatively and nondestructively. Commonly used positron-emitting radionuclides include 11C, 13N, and 15O, which are essential elements for plant growth. Combining radiotracer techniques with PET, this in vivo molecular imaging capability offers plant biologists a powerful tool for molecular phenotyping research. While PET is widely used clinically for cancer diagnosis and pre-clinically for drug development, it is an unfamiliar imaging tool for plant biologists. This chapter introduces the basic principles of PET, factors that affect the quantitative accuracy of PET when imaging plants, and techniques for administering radiotracers to plants for a variety of molecular plant imaging applications.
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Affiliation(s)
- Sergey Komarov
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Yuan-Chuan Tai
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA.
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11
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Travassos-Lins J, de Oliveira Rocha CC, de Souza Rodrigues T, Alves-Ferreira M. Evaluation of the molecular and physiological response to dehydration of two accessions of the model plant Setaria viridis. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2021; 169:211-223. [PMID: 34808464 DOI: 10.1016/j.plaphy.2021.11.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 11/11/2021] [Indexed: 06/13/2023]
Abstract
Water deficits are responsible for countless agricultural losses. Among the affected crops, C4 plants are of special interest due to their high water and nitrogen use efficiency. Two accessions of Setaria viridis (Ast-1 and A10.1) with contrasting responses to water deficit were used in the current work to better understand the mechanisms behind drought tolerance in C4 species. Our results showed that although the A10.1 accession exhibited a reduced size and lower Rfd values in comparison to Ast-1, it had overall higher Fv/Fm and lower NPQ values in well-watered conditions. The water deficit induction was performed with PEG-8000 at the grain-filling stage using dehydration cycles. Analysis of physiological measurements showed the A10.1 accession as being more tolerant to multiple water deficit exposures. In addition, PCA identified a clear difference in the pattern of drought response of the accessions. Four drought marker genes previously described in the literature were chosen to evaluate the response at the molecular level: SvP5CS2, SvDHN1, SvNAC6, and SvWRKY1. Besides confirming that Ast-1 is a more sensitive accession, the expression analysis revealed that SvNAC1 might better monitor drought stress, while SvWRKY1 was able to differentiate the two accessions. Distinct evolutionary histories of each accession may be behind their differences in response to water deficits.
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Affiliation(s)
- João Travassos-Lins
- Laboratory of Plant Molecular Genetics and Biotechnology, Federal University of Rio de Janeiro, Biology Institute, Dept. of Genetics, Av. Carlos Chagas Filho, 373 - Ilha do Fundão, 21941-902, Rio de Janeiro, RJ, Brazil
| | - Caio César de Oliveira Rocha
- Laboratory of Plant Molecular Genetics and Biotechnology, Federal University of Rio de Janeiro, Biology Institute, Dept. of Genetics, Av. Carlos Chagas Filho, 373 - Ilha do Fundão, 21941-902, Rio de Janeiro, RJ, Brazil
| | - Tamires de Souza Rodrigues
- Laboratory of Plant Molecular Genetics and Biotechnology, Federal University of Rio de Janeiro, Biology Institute, Dept. of Genetics, Av. Carlos Chagas Filho, 373 - Ilha do Fundão, 21941-902, Rio de Janeiro, RJ, Brazil
| | - Marcio Alves-Ferreira
- Laboratory of Plant Molecular Genetics and Biotechnology, Federal University of Rio de Janeiro, Biology Institute, Dept. of Genetics, Av. Carlos Chagas Filho, 373 - Ilha do Fundão, 21941-902, Rio de Janeiro, RJ, Brazil.
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Samuels C, Leggett R. A biokinetic model for systemic sodium. JOURNAL OF RADIOLOGICAL PROTECTION : OFFICIAL JOURNAL OF THE SOCIETY FOR RADIOLOGICAL PROTECTION 2021; 41:1045-1059. [PMID: 34261043 DOI: 10.1088/1361-6498/ac1499] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 07/14/2021] [Indexed: 06/13/2023]
Abstract
This paper describes an updated biokinetic model for systemic sodium (Na), developed for use in a series of reports by the International Commission on Radiological Protection (ICRP) on occupational intake of radionuclides. In contrast to the ICRP's previous model for intake of radio-sodium by workers, the updated model depicts realistic directions of movement of Na in the body including recycling of activity between blood and tissues. The updated model structure facilitates extension of the baseline transfer coefficients for adults to different age groups and to special exposure scenarios such as transfer of radio-sodium from the mother to the foetus or the nursing infant. Dose coefficients for22Na and24Na based on the updated model generally do not differ greatly from those based on the ICRP's previous Na model when both models are connected to the ICRP's latest dosimetry system. The main exception is that the updated model yields roughly twofold higher dose coefficients for endosteal bone surface than does the previous model due to the dosimetrically cautious assumption in the updated model that exchangeable Na in bone resides on bone surface.
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Affiliation(s)
- Caleigh Samuels
- Environmental Sciences Division, Oak Ridge National Laboratory, P.O. Box 2008, Oak Ridge, TN, 37831, United States of America
| | - Rich Leggett
- Environmental Sciences Division, Oak Ridge National Laboratory, P.O. Box 2008, Oak Ridge, TN, 37831, United States of America
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Behnamian H, Yousefnejad S, Shafiee M, Rafiei A. Study of two-layer tapered depth of interaction PET detector. Appl Radiat Isot 2021; 174:109731. [PMID: 33964523 DOI: 10.1016/j.apradiso.2021.109731] [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: 11/20/2020] [Revised: 04/05/2021] [Accepted: 04/09/2021] [Indexed: 10/21/2022]
Abstract
Improving detection efficiency in small animal PET scanners without degrading spatial resolution is one of the main problems of these scanners. Commercial small animal PET scanners use different methods to achieve desirable levels of sensitivity and spatial resolution. GE Healthcare eXplore VISTA PET scanner uses double layer (LYSO-GSO) depth-of-interaction (DOI) capable cuboid detector modules. In this work, the design of GE Healthcare eXplore VISTA PET scanner is improved using tapered detector geometry instead of cuboid geometry. Using tapered detector geometry, the gaps between adjacent modules are filled and the sensitive volume has increased about 11.5%. The new designed PET scanner sensitivity and spatial resolution are studied for different crystal layer configurations (LYSO-GSO and GSO-LYSO with different thicknesses). As expected, average sensitivity over FOV is improved. Spatial resolution is slightly degraded but it is still uniform over FOV.
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Affiliation(s)
- Hadi Behnamian
- Department of Physics, University of Guelph, 50 Stone Road East, Guelph, Ontario, Canada.
| | - Sirous Yousefnejad
- Iranian Light Source Facility, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.
| | - Mehdi Shafiee
- Energetic Cosmos Laboratory, Nazarbayev University, Astana, Kazakhstan.
| | - Alireza Rafiei
- Department of Energy Engineering, Sharif University of Technology, Tehran, Iran.
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Ruwanpathirana GP, Plett DC, Williams RC, Davey CE, Johnston LA, Kronzucker HJ. Continuous monitoring of plant sodium transport dynamics using clinical PET. PLANT METHODS 2021; 17:8. [PMID: 33468197 PMCID: PMC7814562 DOI: 10.1186/s13007-021-00707-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 01/04/2021] [Indexed: 05/11/2023]
Abstract
BACKGROUND The absorption, translocation, accumulation and excretion of substances are fundamental processes in all organisms including plants, and have been successfully studied using radiotracers labelled with 11C, 13N, 14C and 22Na since 1939. Sodium is one of the most damaging ions to the growth and productivity of crops. Due to the significance of understanding sodium transport in plants, a significant number of studies have been carried out to examine sodium influx, compartmentation, and efflux using 22Na- or 24Na-labeled salts. Notably, however, most of these studies employed destructive methods, which has limited our understanding of sodium flux and distribution characteristics in real time, in live plants. Positron emission tomography (PET) has been used successfully in medical research and diagnosis for decades. Due to its ability to visualise and assess physiological and metabolic function, PET imaging has also begun to be employed in plant research. Here, we report the use of a clinical PET scanner with a 22Na tracer to examine 22Na-influx dynamics in barley plants (Hordeum vulgare L. spp. Vulgare-cultivar Bass) under variable nutrient levels, alterations in the day/night light cycle, and the presence of sodium channel inhibitors. RESULTS 3D dynamic PET images of whole plants show readily visible 22Na translocation from roots to shoots in each examined plant, with rates influenced by both nutrient status and channel inhibition. PET images show that plants cultivated in low-nutrient media transport more 22Na than plants cultivated in high-nutrient media, and that 22Na uptake is suppressed in the presence of a cation-channel inhibitor. A distinct diurnal pattern of 22Na influx was discernible in curves displaying rates of change of relative radioactivity. Plants were found to absorb more 22Na during the light period, and anticipate the change in the light/dark cycle by adjusting the sodium influx rate downward in the dark period, an effect not previously described experimentally. CONCLUSIONS We demonstrate the utility of clinical PET/CT scanners for real-time monitoring of the temporal dynamics of sodium transport in plants. The effects of nutrient deprivation and of ion channel inhibition on sodium influx into barley plants are shown in two proof-of-concept experiments, along with the first-ever 3D-imaging of the light and dark sodium uptake cycles in plants. This method carries significant potential for plant biology research and, in particular, in the context of genetic and treatment effects on sodium acquisition and toxicity in plants.
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Affiliation(s)
- Gihan P Ruwanpathirana
- Melbourne Brain Centre Imaging Unit, The University of Melbourne, Melbourne, VIC, Australia
- Department of Biomedical Engineering, The University of Melbourne, Melbourne, VIC, Australia
| | - Darren C Plett
- Australian Plant Phenomics Facility, The Plant Accelerator, School of Agriculture, Food & Wine, University of Adelaide, Urrbrae, SA, Australia
| | - Robert C Williams
- Melbourne Brain Centre Imaging Unit, The University of Melbourne, Melbourne, VIC, Australia
| | - Catherine E Davey
- Melbourne Brain Centre Imaging Unit, The University of Melbourne, Melbourne, VIC, Australia
- Department of Biomedical Engineering, The University of Melbourne, Melbourne, VIC, Australia
| | - Leigh A Johnston
- Melbourne Brain Centre Imaging Unit, The University of Melbourne, Melbourne, VIC, Australia.
- Department of Biomedical Engineering, The University of Melbourne, Melbourne, VIC, Australia.
| | - Herbert J Kronzucker
- Faculty of Veterinary and Agriculture Sciences, School of Agriculture and Food, The University of Melbourne, Melbourne, VIC, Australia
- Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
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Coenen HH, Ermert J. Expanding PET-applications in life sciences with positron-emitters beyond fluorine-18. Nucl Med Biol 2020; 92:241-269. [PMID: 32900582 DOI: 10.1016/j.nucmedbio.2020.07.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 07/09/2020] [Indexed: 12/20/2022]
Abstract
Positron-emission-tomography (PET) has become an indispensable diagnostic tool in modern nuclear medicine. Its outstanding molecular imaging features allow repetitive studies on one individual and with high sensitivity, though no interference. Rather few positron-emitters with near favourable physical properties, i.e. carbon-11 and fluorine-18, furnished most studies in the beginning, preferably if covalently bound as isotopic label of small molecules. With the advancement of PET-devices the scope of in vivo research in life sciences and especially that of medical applications expanded, and other than "standard" PET-nuclides received increasing significance, like the radiometals copper-64 and gallium-68. Especially during the last decades, positron-emitters of other chemical elements have gotten into the focus of interest, concomitant with the technical advancements in imaging and radionuclide production. With known nuclear imaging properties and main production methods of emerging positron-emitters their usefulness for medical application is promising and even proven for several ones already. Unfortunate decay properties could be corrected for, and β+-emitters, especially with a longer half-life, provided new possibilities for application where slower processes are of importance. Further on, (bio)chemical features of positron-emitters of other elements, among there many metals, not only expanded the field of classical clinical investigations, but also opened up new fields of application. Appropriately labelled peptides, proteins and nanoparticles lend itself as newer probes for PET-imaging, e.g. in theragnostic or PET/MR hybrid imaging. Furthermore, the potential of non-destructive in-vivo imaging with positron-emission-tomography directs the view on further areas of life sciences. Thus, exploiting the excellent methodology for basic research on molecular biochemical functions and processes is increasingly encouraged as well in areas outside of health, such as plant and environmental sciences.
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Affiliation(s)
- Heinz H Coenen
- Institut für Neurowissenschaften und Medizin, INM-5, Nuklearchemie, Forschungszentrum Jülich GmbH, D-52425 Jülich, Germany.
| | - Johannes Ermert
- Institut für Neurowissenschaften und Medizin, INM-5, Nuklearchemie, Forschungszentrum Jülich GmbH, D-52425 Jülich, Germany.
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