Abstract
The limited availability of nitrogen (N) is a fundamental challenge for many crop plants. We have hypothesized that the relative crop photosynthetic rate (P) is exponentially constrained by certain plant-specific enzyme activities, such as ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco), NADP-glyceraldehyde-3-phosphate dehydrogenase (NADP-G3PDH), 3-phosphoglyceric acid (PGA) kinase, and chloroplast fructose-1,6-bisphosphatase (cpFBPase), in Triticum aestivum and Oryza sativa. We conducted a literature search to compile information from previous studies on C3 and C4 crop plants, to examine the photosynthetic rate responses to limited leaf [N] levels. We found that in Zea mays, NADP-malic enzyme (NADP-ME), PEP carboxykinase (PCK), and Rubisco activities were positively correlated with P. A positive correlation was also observed between both phosphoenolpyruvate carboxylase (PEPC) and Rubisco activity with leaf [N] in Sorghum bicolor. Key enzyme activities responded differently to P in C3 and C4 plants, suggesting that other factors, such as leaf [N] and the stage of leaf growth, also limited specific enzyme activities. The relationships followed the best fitting exponential relationships between key enzymes and the P rate in both C3 and C4 plants. It was found that C4 species absorbed less leaf [N] but had higher [N] assimilation rates (A rate) and higher maximum photosynthesis rates (Pmax), i.e., they were able to utilize and invest more [N] to sustain higher carbon gains. All C3 species studied herein had higher [N] storage (Nstore) and higher absorption of [N], when compared with the C4 species. Nstore was the main [N] source used for maintaining photosynthetic capacity and leaf expansion. Of the nine C3 species assessed, rice had the greatest Pmax, thereby absorbing more leaf [N]. Elevated CO2 (eCO2) was also found to reduce the leaf [N] and Pmax in rice but enhanced the leaf [N] and N use efficiency of photosynthesis in maize. We concluded that eCO2 affects [N] allocation, which directly or indirectly affects Pmax. These results highlight the need to further study these physiological and biochemical processes, to better predict how crops will respond to eCO2 concentrations and limited [N].
Highlights
Insufficient levels of important chemical elements, such as nitrogen (N), can result in constraints on the metabolic fluxes required to produce enzymes in plants (Baudouin-Cornu et al, 2001)
The activity of three enzymes from the maize leaf, PEP carboxykinase (PCK), and NADP-malic enzyme (NADP-ME), initially influenced P, whereas Rubisco activity initially enhanced and reduced P when compared with effects of other enzymes such as PCK and NADP-ME (Figures 1E–G)
While transgenic anti-rbcS 77 had 65% wild-type Rubisco, it still had a lower Pmax when compared with the maize under elevated photosynthesis rate; (Pa). These results suggest the suppression of Pmax and leaf N content under the elevated Pa when compared with the low Pa due to the enrichment of the CO2 in the rice plants (Figures 4A, B), the results suggest that long-term CO2 decreases the initial stimulation of photosynthesis and down-regulates it; this finding suggests a decrease in the Rubisco content in plants
Summary
Insufficient levels of important chemical elements, such as nitrogen (N), can result in constraints on the metabolic fluxes required to produce enzymes in plants (Baudouin-Cornu et al, 2001). As greater growth rates require enhanced N levels, N can become the more limiting nutrient in soils of terrestrial ecosystems (Sardans and Peñuelas, 2015) Leaf traits such as N allocation and photosynthetic capacity, may differ significantly among various crop plants; an improved understanding of the various scalings of leaf trait relationships would be valuable for the fields of ecology, plant biology, and crop science. The study of leaf trait variations in different groups of plants has previously been the focus when trying to understand plant adaptations to limited N concentrations and low and elevated CO2 concentrations Based on these ideas, we developed a novel enzyme-driven model (EDM) that hypothesizes that the photosynthetic rate has an exponential relationship with basic enzymes, and that the photosynthetic rate is dependent on effective N sources
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