期刊
PLANT CELL AND ENVIRONMENT
卷 44, 期 8, 页码 2455-2465出版社
WILEY
DOI: 10.1111/pce.14079
关键词
CO2; mesophyll conductance; photosynthesis; carbon reactions; tortuosity
资金
- Australian Research Council [DP170104276, DP200102467]
- Vienna Science and Technology Fund [LS19-013]
- Australian Research Council [DP200102467] Funding Source: Australian Research Council
The study compares a geometric method with a random walk approach for analyzing molecule transportation within leaves, demonstrating the superiority of the random walk method in investigating CO2 and H2O transport. The results show that tortuosity is higher in the palisade mesophyll than the spongy mesophyll, with horizontal tortuosity consistently higher than vertical tortuosity.
The leaf intercellular airspace is a tortuous environment consisting of cells of different shapes, packing densities, and orientation, all of which have an effect on the travelling distance of molecules from the stomata to the mesophyll cell surfaces. Tortuosity, the increase in displacement over the actual distance between two points, is typically defined as encompassing the whole leaf airspace, but heterogeneity in pore dimensions and orientation between the spongy and palisade mesophyll likely result in heterogeneity in tortuosity along different axes and would predict longer traveling distance along the path of least tortuosity, such as vertically within the columnar cell matrix of the palisade layer. Here, we compare a previously established geometric method to a random walk approach, novel for this analysis in plant leaves, in four different Eucalyptus species. The random walk method allowed us to quantify directional tortuosity across the whole leaf profile, and separately for the spongy and palisade mesophyll. For all species tortuosity was higher in the palisade mesophyll than the spongy mesophyll and horizontal (parallel to the epidermis) tortuosity was consistently higher than vertical (from epidermis to epidermis) tortuosity. We demonstrate that a random walk approach improves on previous geometric approaches and is valuable for investigating CO2 and H2O transport within leaves.
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