Revisiting the Temperature Dependence of the Photorespiratory CO 2 Compensation Point (Γ*)
Darwin L. Moreno‐Echeverry, Miko U. F. Kirschbaum, Margaret M. Barbour, Lìyǐn L. LiángABSTRACT
Accurate estimation of the photorespiratory CO 2 compensation point (Γ*) is essential for describing the balance between Rubisco carboxylation and oxygenation and for parameterising biochemical models of photosynthesis. Γ* and the rate of CO 2 release in the light ( D L ) are commonly estimated using the Laisk method, based on measurements of net CO 2 assimilation rate ( A net ) at low chloroplastic CO 2 concentrations (c c ), under several sub‐saturating irradiance levels. However, many widely used temperature dependence relationships for Γ* (Γ*( T )) were derived using conventional linear implementations of the Laisk method, despite the intrinsically nonlinear behaviour of the A net –c c response predicted by the photosynthetic theory. Here, we revisited the temperature dependence of Γ* and D L using the improved Laisk–FvCB framework that simultaneously constrains the nonlinear A net –c c response across multiple irradiance levels. Gas exchange of sunflower leaves was measured across a wide temperature range from 3.9°C to 42.0°C. The conventional linear implementation generated highly dispersed pairwise intersections and unstable estimates of both Γ* and D L , including some physiologically unrealistic negative D L values at low temperatures. In contrast, the mechanistically constrained Laisk–FvCB framework produced physiologically meaningful temperature responses and substantially reduced methodological artefacts associated with linear extrapolation. Using this framework, we derived a revised in vivo Γ*( T ) relationship described by an Arrhenius‐type function with Γ*(25) = 43.4 μmol mol −1 and an apparent activation energy of 27.7 kJ mol −1 , such that Γ*( T ) = 43.4 exp[11.176 (( T − 25)/( T + 273.15))], where T is leaf temperature in °C. Comparison with other widely used Γ*( T ) formulations showed substantial divergence at temperature extremes, often exceeding the variability expected from realistic interspecific differences in Rubisco specificity among C 3 species.