Measuring the dynamic photosynthome
Background: Photosynthesis underpins plant productivity and yet is notoriously sensitive to small changes inenvironmental conditions, meaning that quantitation in nature across different time scales is not straightforward. The ‘dynamic’ changes in photosynthesis (i.e. the kinetics of the various rea...
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| Format: | Article |
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Oxford Journals
2018
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| Online Access: | https://eprints.nottingham.ac.uk/53159/ |
| _version_ | 1848798890194632704 |
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| author | Murchie, Erik H. Kefauver, Shawn Araus, Jose Luis Muller, Onno Rascher, Uwe Flood, Pádraic J. Lawson, Tracy |
| author_facet | Murchie, Erik H. Kefauver, Shawn Araus, Jose Luis Muller, Onno Rascher, Uwe Flood, Pádraic J. Lawson, Tracy |
| author_sort | Murchie, Erik H. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Background: Photosynthesis underpins plant productivity and yet is notoriously sensitive to small changes inenvironmental conditions, meaning that quantitation in nature across different time scales is not straightforward. The ‘dynamic’ changes in photosynthesis (i.e. the kinetics of the various reactions of photosynthesis in response to environmental shifts) are now known to be important in driving crop yield.
Scope: It is known that photosynthesis does not respond in a timely manner, and even a small temporal “mismatch” between a change in the environment and the appropriate response of photosynthesis toward optimality can result in a fall in productivity. Yet the most commonly measured parameters are still made at steady state or a temporary steady state (including those for crop breeding purposes), meaning that new photosynthetic traits remain undiscovered.
Conclusions: There is a great need to understand photosynthesis dynamics from a mechanistic and biological viewpoint especially when applied to the field of ‘phenomics’ which typically uses large genetically diverse populations of plants. Despite huge advances in measurement technology in recent years, it is still unclear whether we possess the capability of capturing and describing the physiologically relevant dynamic features of field photosynthesis in sufficient detail. Such traits are highly complex, hence we dub this the ‘photosynthome’. This review sets out the state of play and describes some approaches that could be made to address this challenge with reference to the relevant biological processes involved. |
| first_indexed | 2025-11-14T20:26:57Z |
| format | Article |
| id | nottingham-53159 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:26:57Z |
| publishDate | 2018 |
| publisher | Oxford Journals |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-531592020-05-04T19:39:41Z https://eprints.nottingham.ac.uk/53159/ Measuring the dynamic photosynthome Murchie, Erik H. Kefauver, Shawn Araus, Jose Luis Muller, Onno Rascher, Uwe Flood, Pádraic J. Lawson, Tracy Background: Photosynthesis underpins plant productivity and yet is notoriously sensitive to small changes inenvironmental conditions, meaning that quantitation in nature across different time scales is not straightforward. The ‘dynamic’ changes in photosynthesis (i.e. the kinetics of the various reactions of photosynthesis in response to environmental shifts) are now known to be important in driving crop yield. Scope: It is known that photosynthesis does not respond in a timely manner, and even a small temporal “mismatch” between a change in the environment and the appropriate response of photosynthesis toward optimality can result in a fall in productivity. Yet the most commonly measured parameters are still made at steady state or a temporary steady state (including those for crop breeding purposes), meaning that new photosynthetic traits remain undiscovered. Conclusions: There is a great need to understand photosynthesis dynamics from a mechanistic and biological viewpoint especially when applied to the field of ‘phenomics’ which typically uses large genetically diverse populations of plants. Despite huge advances in measurement technology in recent years, it is still unclear whether we possess the capability of capturing and describing the physiologically relevant dynamic features of field photosynthesis in sufficient detail. Such traits are highly complex, hence we dub this the ‘photosynthome’. This review sets out the state of play and describes some approaches that could be made to address this challenge with reference to the relevant biological processes involved. Oxford Journals 2018-06-04 Article PeerReviewed Murchie, Erik H., Kefauver, Shawn, Araus, Jose Luis, Muller, Onno, Rascher, Uwe, Flood, Pádraic J. and Lawson, Tracy (2018) Measuring the dynamic photosynthome. Annals of Botany . ISSN 1095-8290 Photosynthesis dynamic steady state genetics yield phenomics https://academic.oup.com/aob/advance-article/doi/10.1093/aob/mcy087/5032920 doi:10.1093/aob/mcy087 doi:10.1093/aob/mcy087 |
| spellingShingle | Photosynthesis dynamic steady state genetics yield phenomics Murchie, Erik H. Kefauver, Shawn Araus, Jose Luis Muller, Onno Rascher, Uwe Flood, Pádraic J. Lawson, Tracy Measuring the dynamic photosynthome |
| title | Measuring the dynamic photosynthome |
| title_full | Measuring the dynamic photosynthome |
| title_fullStr | Measuring the dynamic photosynthome |
| title_full_unstemmed | Measuring the dynamic photosynthome |
| title_short | Measuring the dynamic photosynthome |
| title_sort | measuring the dynamic photosynthome |
| topic | Photosynthesis dynamic steady state genetics yield phenomics |
| url | https://eprints.nottingham.ac.uk/53159/ https://eprints.nottingham.ac.uk/53159/ https://eprints.nottingham.ac.uk/53159/ |