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Stirbet A, Guo Y, Lazár D, Govindjee G. From leaf to multiscale models of photosynthesis: applications and challenges for crop improvement. PHOTOSYNTHESIS RESEARCH 2024; 161:21-49. [PMID: 38619700 DOI: 10.1007/s11120-024-01083-9] [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: 01/26/2024] [Accepted: 01/29/2024] [Indexed: 04/16/2024]
Abstract
To keep up with the growth of human population and to circumvent deleterious effects of global climate change, it is essential to enhance crop yield to achieve higher production. Here we review mathematical models of oxygenic photosynthesis that are extensively used, and discuss in depth a subset that accounts for diverse approaches providing solutions to our objective. These include models (1) to study different ways to enhance photosynthesis, such as fine-tuning antenna size, photoprotection and electron transport; (2) to bioengineer carbon metabolism; and (3) to evaluate the interactions between the process of photosynthesis and the seasonal crop dynamics, or those that have included statistical whole-genome prediction methods to quantify the impact of photosynthesis traits on the improvement of crop yield. We conclude by emphasizing that the results obtained in these studies clearly demonstrate that mathematical modelling is a key tool to examine different approaches to improve photosynthesis for better productivity, while effective multiscale crop models, especially those that also include remote sensing data, are indispensable to verify different strategies to obtain maximized crop yields.
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Affiliation(s)
| | - Ya Guo
- Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education Jiangnan University, Wuxi, 214122, China
| | - Dušan Lazár
- Department of Biophysics, Faculty of Science, Palacký Univesity, Šlechtitelů 27, 78371, Olomouc, Czech Republic
| | - Govindjee Govindjee
- Department of Biochemistry, Department of Plant Biology, and the Center of Biophysics & Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
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Matthews ML, Burgess SJ. How much could improving photosynthesis increase crop yields? A call for systems-level perspectives to guide engineering strategies. Curr Opin Biotechnol 2024; 88:103144. [PMID: 38815490 DOI: 10.1016/j.copbio.2024.103144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 05/05/2024] [Accepted: 05/06/2024] [Indexed: 06/01/2024]
Abstract
Global yield gaps can be reduced through breeding and improved agronomy. However, signs of yield plateaus from wheat and rice grown in intensively farmed systems indicate a need for new strategies if output is to continue to increase. Approaches to improve photosynthesis are suggested as a solution. Empirical evidence supporting this approach comes from small-scale free-CO2 air enrichment and transgenic studies. However, the likely achievable gains from improving photosynthesis are less understood. Models predict maximum increases in yield of 5.3-19.1% from genetic manipulation depending on crop, environment, and approach, but uncertainty remains in the presence of stress. This review seeks to provide context to the rationale for improving photosynthesis, highlight areas of uncertainty, and identify the steps required to create more accurate projections.
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Affiliation(s)
- Megan L Matthews
- Carl R Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, United States; Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, United States.
| | - Steven J Burgess
- Department of Plant Biology, University of Illinois Urbana-Champaign, United States; Carl R Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, United States.
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3
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Wu A, Truong SH, McCormick R, van Oosterom EJ, Messina CD, Cooper M, Hammer GL. Contrasting leaf-scale photosynthetic low-light response and its temperature dependency are key to differences in crop-scale radiation use efficiency. THE NEW PHYTOLOGIST 2024; 241:2435-2447. [PMID: 38214462 DOI: 10.1111/nph.19537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 12/31/2023] [Indexed: 01/13/2024]
Abstract
Radiation use efficiency (RUE) is a key crop adaptation trait that quantifies the potential amount of aboveground biomass produced by the crop per unit of solar energy intercepted. But it is unclear why elite maize and grain sorghum hybrids differ in their RUE at the crop level. Here, we used a non-traditional top-down approach via canopy photosynthesis modelling to identify leaf-level photosynthetic traits that are key to differences in crop-level RUE. A novel photosynthetic response measurement was developed and coupled with use of a Bayesian model fitting procedure, incorporating a C4 leaf photosynthesis model, to infer cohesive sets of photosynthetic parameters by simultaneously fitting responses to CO2 , light, and temperature. Statistically significant differences between leaf photosynthetic parameters of elite maize and grain sorghum hybrids were found across a range of leaf temperatures, in particular for effects on the quantum yield of photosynthesis, but also for the maximum enzymatic activity of Rubisco and PEPc. Simulation of diurnal canopy photosynthesis predicted that the leaf-level photosynthetic low-light response and its temperature dependency are key drivers of the performance of crop-level RUE, generating testable hypotheses for further physiological analysis and bioengineering applications.
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Affiliation(s)
- Alex Wu
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, St. Lucia, Brisbane, Qld, 4072, Australia
- Australian Research Council Centre of Excellence for Plant Success in Nature and Agriculture, The University of Queensland, St. Lucia, Brisbane, Qld, 4072, Australia
| | - Sandra Huynh Truong
- Predictive Agriculture, Research & Development, Corteva Agriscience, Johnston, IA, 50131, USA
| | - Ryan McCormick
- Predictive Agriculture, Research & Development, Corteva Agriscience, Johnston, IA, 50131, USA
- Gro Intelligence, New York, NY, 10022, USA
| | - Erik J van Oosterom
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, St. Lucia, Brisbane, Qld, 4072, Australia
- Australian Research Council Centre of Excellence for Plant Success in Nature and Agriculture, The University of Queensland, St. Lucia, Brisbane, Qld, 4072, Australia
| | - Carlos D Messina
- Predictive Agriculture, Research & Development, Corteva Agriscience, Johnston, IA, 50131, USA
- Horticultural Sciences Department, University of Florida, Gainesville, FL, 32611, USA
| | - Mark Cooper
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, St. Lucia, Brisbane, Qld, 4072, Australia
- Australian Research Council Centre of Excellence for Plant Success in Nature and Agriculture, The University of Queensland, St. Lucia, Brisbane, Qld, 4072, Australia
| | - Graeme L Hammer
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, St. Lucia, Brisbane, Qld, 4072, Australia
- Australian Research Council Centre of Excellence for Plant Success in Nature and Agriculture, The University of Queensland, St. Lucia, Brisbane, Qld, 4072, Australia
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Smith EN, van Aalst M, Tosens T, Niinemets Ü, Stich B, Morosinotto T, Alboresi A, Erb TJ, Gómez-Coronado PA, Tolleter D, Finazzi G, Curien G, Heinemann M, Ebenhöh O, Hibberd JM, Schlüter U, Sun T, Weber APM. Improving photosynthetic efficiency toward food security: Strategies, advances, and perspectives. MOLECULAR PLANT 2023; 16:1547-1563. [PMID: 37660255 DOI: 10.1016/j.molp.2023.08.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 08/20/2023] [Accepted: 08/31/2023] [Indexed: 09/04/2023]
Abstract
Photosynthesis in crops and natural vegetation allows light energy to be converted into chemical energy and thus forms the foundation for almost all terrestrial trophic networks on Earth. The efficiency of photosynthetic energy conversion plays a crucial role in determining the portion of incident solar radiation that can be used to generate plant biomass throughout a growth season. Consequently, alongside the factors such as resource availability, crop management, crop selection, maintenance costs, and intrinsic yield potential, photosynthetic energy use efficiency significantly influences crop yield. Photosynthetic efficiency is relevant to sustainability and food security because it affects water use efficiency, nutrient use efficiency, and land use efficiency. This review focuses specifically on the potential for improvements in photosynthetic efficiency to drive a sustainable increase in crop yields. We discuss bypassing photorespiration, enhancing light use efficiency, harnessing natural variation in photosynthetic parameters for breeding purposes, and adopting new-to-nature approaches that show promise for achieving unprecedented gains in photosynthetic efficiency.
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Affiliation(s)
- Edward N Smith
- Faculty of Science and Engineering, Molecular Systems Biology - Groningen Biomolecular Sciences and Biotechnology, Nijenborgh 4, 9747 AG Groningen, the Netherlands
| | - Marvin van Aalst
- Institute of Quantitative and Theoretical Biology, Cluster of Excellence on Plant Science (CEPLAS), Heinrich Heine University, Universitätsstrasse 1, 40225 Düsseldorf, Germany
| | - Tiina Tosens
- Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, 51006 Tartu, Estonia
| | - Ülo Niinemets
- Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, 51006 Tartu, Estonia
| | - Benjamin Stich
- Institute of Quantitative Genetics and Genomics of Plants, Cluster of Excellence on Plant Science (CEPLAS), Heinrich Heine University, Universitätsstrasse 1, 40225 Düsseldorf, Germany
| | | | | | - Tobias J Erb
- Max Planck Institute for Terrestrial Microbiology, Department of Biochemistry & Synthetic Metabolism, 35043 Marburg, Germany
| | - Paul A Gómez-Coronado
- Max Planck Institute for Terrestrial Microbiology, Department of Biochemistry & Synthetic Metabolism, 35043 Marburg, Germany
| | - Dimitri Tolleter
- Interdisciplinary Research Institute of Grenoble, IRIG-LPCV, Grenoble Alpes University, CNRS, CEA, INRAE, 38000 Grenoble, France
| | - Giovanni Finazzi
- Interdisciplinary Research Institute of Grenoble, IRIG-LPCV, Grenoble Alpes University, CNRS, CEA, INRAE, 38000 Grenoble, France
| | - Gilles Curien
- Interdisciplinary Research Institute of Grenoble, IRIG-LPCV, Grenoble Alpes University, CNRS, CEA, INRAE, 38000 Grenoble, France
| | - Matthias Heinemann
- Faculty of Science and Engineering, Molecular Systems Biology - Groningen Biomolecular Sciences and Biotechnology, Nijenborgh 4, 9747 AG Groningen, the Netherlands
| | - Oliver Ebenhöh
- Institute of Quantitative and Theoretical Biology, Cluster of Excellence on Plant Science (CEPLAS), Heinrich Heine University, Universitätsstrasse 1, 40225 Düsseldorf, Germany
| | - Julian M Hibberd
- Molecular Physiology, Department of Plant Sciences, University of Cambridge, Cambridge CB2 3EA, UK
| | - Urte Schlüter
- Institute for Plant Biochemistry, Cluster of Excellence on Plant Science (CEPLAS), Heinrich Heine University, Universitätsstrasse 1, 40225 Düsseldorf, Germany
| | - Tianshu Sun
- Molecular Physiology, Department of Plant Sciences, University of Cambridge, Cambridge CB2 3EA, UK
| | - Andreas P M Weber
- Institute for Plant Biochemistry, Cluster of Excellence on Plant Science (CEPLAS), Heinrich Heine University, Universitätsstrasse 1, 40225 Düsseldorf, Germany.
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