Simpson, Conor JC and Reeves, Gregory and Tripathi, Anoop and Singh, Pallavi and Hibberd, Julian M (2022) Using breeding and quantitative genetics to understand the C4 pathway. Journal of Experimental Botany, 73 (10). pp. 3072-3084. DOI https://doi.org/10.1093/jxb/erab486
Simpson, Conor JC and Reeves, Gregory and Tripathi, Anoop and Singh, Pallavi and Hibberd, Julian M (2022) Using breeding and quantitative genetics to understand the C4 pathway. Journal of Experimental Botany, 73 (10). pp. 3072-3084. DOI https://doi.org/10.1093/jxb/erab486
Simpson, Conor JC and Reeves, Gregory and Tripathi, Anoop and Singh, Pallavi and Hibberd, Julian M (2022) Using breeding and quantitative genetics to understand the C4 pathway. Journal of Experimental Botany, 73 (10). pp. 3072-3084. DOI https://doi.org/10.1093/jxb/erab486
Abstract
Reducing photorespiration in C3 crops could significantly increase rates of photosynthesis and yield. One method to achieve this would be to integrate C4 photosynthesis into C3 species. This objective is challenging as it involves engineering incompletely understood traits into C3 leaves, including complex changes to their biochemistry, cell biology, and anatomy. Quantitative genetics and selective breeding offer underexplored routes to identify regulators of these processes. We first review examples of natural intraspecific variation in C4 photosynthesis as well as the potential for hybridization between C3 and C4 species. We then discuss how quantitative genetic approaches including artificial selection and genome-wide association could be used to better understand the C4 syndrome and in so doing guide the engineering of the C4 pathway into C3 crops.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Crops, Agricultural; Genome-Wide Association Study; Photosynthesis; Plant Breeding; Plant Leaves |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Life Sciences, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 05 Jan 2023 09:36 |
Last Modified: | 30 Oct 2024 21:00 |
URI: | http://repository.essex.ac.uk/id/eprint/34103 |
Available files
Filename: Using breeding and quantitative genetics to understand the C4 pathway.pdf
Licence: Creative Commons: Attribution 3.0