Determining RuBisCO activation kinetics and other rate and equilibrium constants by simultaneous multiple non-linear regression of a kinetic model.

J Exp Bot

Molecular Plant Physiology Group, Research School of Biological Sciences, Building 46, The Australian National University, Canberra, ACT 0200, Australia.

Published: February 2007

The forward and reverse rate constants involved in carbamylation, activation, carboxylation, and inhibition of D-ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) have been estimated by a new technique of simultaneous non-linear regression of a differential equation kinetic model to multiple experimental data. Parameters predicted by the model fitted to data from purified spinach enzyme in vitro included binding affinity constants for non-substrate CO2 and Mg2+ of 200+/-80 microM and 700+/-200 microM, respectively, as well as a turnover number (k(cat)) of 3.3+/-0.5 s(-1), a Michaelis half-saturation constant for carboxylation (K(M,C)) of 10+/-4 microM and a Michaelis constant for RuBP binding (K(M,RuBP)) of 1.5+/-0.5 microM. These and other constants agree well with previously measured values where they exist. The model is then used to show that slow inactivation of RuBisCO (fallover) in oxygen-free conditions at low concentrations of CO2 and Mg2+ is due to decarbamylation and binding of RuBP to uncarbamylated enzyme. In spite of RuBP binding more tightly to uncarbamylated enzyme than to the activated form, RuBisCO is activated at high concentrations of CO2 and Mg2+. This apparent paradox is resolved by considering activation kinetics and the fact that while RuBP binds tightly but slowly to uncarbamylated enzyme, it binds fast and loosely to activated enzyme. This modelling technique is presented as a new method for determining multiple kinetic data simultaneously from a limited experimental data set. The method can be used to compare the properties of RuBisCO from different species quickly and easily.

Download full-text PDF

Source
http://dx.doi.org/10.1093/jxb/erl156DOI Listing

Publication Analysis

Top Keywords

co2 mg2+
12
uncarbamylated enzyme
12
activation kinetics
8
non-linear regression
8
kinetic model
8
experimental data
8
rubp binding
8
concentrations co2
8
enzyme
5
determining rubisco
4

Similar Publications

Carbon capture and storage (CCS) and CO-based geothermal energy are promising technologies for reducing CO emissions and mitigating climate change. Safe implementation of these technologies requires an understanding of how CO interacts with fluids and rocks at depth, particularly under elevated pressure and temperature. While CO-bearing aqueous solutions in geological reservoirs have been extensively studied, the chemical behavior of water-bearing supercritical CO remains largely overlooked by academics and practitioners alike.

View Article and Find Full Text PDF

[Expression and enzymatic characterization of a chitosanase with tolerance to a wide range of pH from ].

Sheng Wu Gong Cheng Xue Bao

January 2025

Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Urumqi 830017, Xinjiang, China.

To screen and identify a chitosanase with high stability, we cloned the chitosanase gene from with a high protease yield from the barren saline-alkali soil and expressed this gene in . The expressed chitosanase of . (BA-CSN) was purified by nickel-affinity column chromatography.

View Article and Find Full Text PDF

Understanding the interfacial interaction mechanisms between oil and minerals is of vital importance in the applications of petroleum production and environmental protection. In this work, the interactions of dodecane with mica and calcite in aqueous media were investigated by using the drop probe technique based on atomic force microscopy. For the dodecane-mica interactions, the electrical double layer (EDL) repulsion dominated in 10 mM NaCl solution, and a higher pH facilitated the detachment of dodecane.

View Article and Find Full Text PDF

This study aimed to explore the mechanism by which Zn retards Fe toxicity by analyzing the morphological, photosynthetic, and chloroplast physiological parameters of wheat seedlings treated with either single or combined Zn and Fe. Different behavior of the seedlings was observed under untreated and treated conditions. The most discriminating quantitative traits were associated with leaf area, biomass dry mass and fresh mass, net photosynthetic rate, intercellular CO concentration, stomatal conductance, transpiration rate of seedlings, Hill reaction, Mg-ATPase and Ca-ATPase activities, malondialdehyde and O contents, and glutathione reductase, ascorbate peroxidase, peroxidase, and superoxide dismutase activities and their gene expression in the seedling chloroplast.

View Article and Find Full Text PDF

Enhanced Prediction of CO-Brine Interfacial Tension at Varying Temperature Using a Multibranch-Structure-Based Neural Network Approach.

Langmuir

January 2025

Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, School of Energy and Power Engineering, Dalian University of Technology, Dalian 116023, P. R. China.

Interfacial tension () between CO and brine depends on chemical components in multiphase systems, intricately evolving with a change in temperature. In this study, we developed a convolutional neural network with a multibranch structure (MBCNN), which, in combination with a compiled data set containing measurement data of 1716 samples from 13 available literature sources at wide temperature and pressure ranges (273.15-473.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!