Department of Plant Sciences, University of Cambridge, Cambridge, UK.
Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Plant Cell Environ. 2024 Sep;47(9):3411-3427. doi: 10.1111/pce.14940. Epub 2024 May 28.
The growing demand for global food production is likely to be a defining issue facing humanity over the next 50 years. To tackle this challenge, there is a desire to bioengineer crops with higher photosynthetic efficiencies, to increase yields. Recently, there has been a growing interest in engineering leaves with higher mesophyll conductance (g), which would allow CO to move more efficiently from the substomatal cavities to the chloroplast stroma. However, if crop yield gains are to be realised through this approach, it is essential that the methodological limitations associated with estimating g are fully appreciated. In this review, we summarise these limitations, and outline the uncertainties and assumptions that can affect the final estimation of g. Furthermore, we critically assess the predicted quantitative effect that elevating g will have on assimilation rates in crop species. We highlight the need for more theoretical modelling to determine whether altering g is truly a viable route to improve crop performance. Finally, we offer suggestions to guide future research on g, which will help mitigate the uncertainty inherently associated with estimating this parameter.
在未来 50 年,全球粮食生产的需求不断增长,可能成为人类面临的一个决定性问题。为了应对这一挑战,人们希望通过生物工程技术来提高作物的光合作用效率,从而增加产量。最近,人们越来越关注通过工程手段提高叶片的胞间导度(g),这将使 CO2 能够更有效地从叶肉细胞间隙移动到叶绿体基质。然而,如果要通过这种方法实现作物产量的提高,就必须充分认识到与估计 g 相关的方法学限制。在这篇综述中,我们总结了这些限制,并概述了可能影响 g 最终估计的不确定性和假设。此外,我们还批判性地评估了提高 g 对作物物种同化速率的预测定量影响。我们强调需要更多的理论建模来确定改变 g 是否真的是提高作物性能的可行途径。最后,我们提出了指导未来 g 研究的建议,这将有助于减轻与估计该参数相关的固有不确定性。