A generalized stoichiometric model of C3, C2, C2+C4, and C4 photosynthetic metabolism.
A generalized stoichiometric model of C3, C2, C2+C4, and C4 photosynthetic metabolism.
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DOI:
10.1093/jxb/erw303
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发表时间:
2017-01
影响因子:
6.9
通讯作者:
Bellasio C
中科院分区:
文献类型:
--
作者:
Bellasio C
A model based solely on mass-balance constraints refines our understanding of the trade-offs, energy requirements, leaf-level fluxes, and plasticity mechanisms in different biochemical types of assimilation. The goal of suppressing photorespiration in crops to maximize assimilation and yield is stimulating considerable interest among researchers looking to bioengineer carbon-concentrating mechanisms into C3 plants. However, detailed quantification of the biochemical activities in the bundle sheath is lacking. This work presents a general stoichiometric model for C3, C2, C2+C4, and C4 assimilation (SMA) in which energetics, metabolite traffic, and the different decarboxylating enzymes (NAD-dependent malic enzyme, NADP-dependent malic enzyme, or phosphoenolpyruvate carboxykinase) are explicitly included. The SMA can be used to refine experimental data analysis or formulate hypothetical scenarios, and is coded in a freely available Microsoft Excel workbook. The theoretical underpinnings and general model behaviour are analysed with a range of simulations, including (i) an analysis of C3, C2, C2+C4, and C4 in operational conditions; (ii) manipulating photorespiration in a C3 plant; (iii) progressively upregulating a C2 shuttle in C3 photosynthesis; (iv) progressively upregulating a C4 cycle in C2 photosynthesis; and (v) manipulating processes that are hypothesized to respond to transient environmental inputs. Results quantify the functional trade-offs, such as the electron transport needed to meet ATP/NADPH demand, as well as metabolite traffic, inherent to different subtypes. The SMA refines our understanding of the stoichiometry of photosynthesis, which is of paramount importance for basic and applied research.
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影响因子:
6.9
作者:
Bellasio C;Burgess SJ;Griffiths H;Hibberd JM
通讯作者:
Hibberd JM
影响因子:
7.4
作者:
Dal'Molin, Cristiana Gomes de Oliveira;Quek, Lake-Ee;Nielsen, Lars Keld
通讯作者:
Nielsen, Lars Keld
影响因子:
6.9
作者:
Keerberg O;Pärnik T;Ivanova H;Bassüner B;Bauwe H
通讯作者:
Bauwe H
影响因子:
7.3
作者:
Buckley, Thomas N.;Adams, Mark A.
通讯作者:
Adams, Mark A.
影响因子:
6.9
作者:
Furbank, Robert T.
通讯作者:
Furbank, Robert T.