bioRxiv Science⌕ Search

Biology subjects

Carriqui, M.

Publications and source records attributed to Carriqui, M..

2 recordsLinked to original sources

Variations of photosynthetic N-use efficiency through plant phylogeny in relation to mesophyll cell wall thickness

Leaf photosynthetic nitrogen-use efficiency (PNUE) diversified significantly among C3 species. However, morpho-physiological mechanisms and interrelationships forming PNUE remain unclear on the evolutionary time scale. In this study, we compiled a novel extensive matrix of morpho-anatomical and physiological traits of leaf in 679 C3 species ranging from bryophytes to angiosperms to understand the intricacy of interrelationships underlying the variations in PNUE. We found that LMA, mesophyll cell wall thickness (Tcwm), Rubisco N allocation fraction (PR), and mesophyll conductance (gm) together interpreted 83% of variations in PNUE, with PR and gm accounting for 65% of those variations. However, the PR effects were species-dependent on gm; that is, the contribution of PR on PNUE was extensively significant in high-gm species in comparison to low-gm species. Standard major analysis (SMA) and path analysis suggested a weak correlation between PNUE and LMA, whereas the SMA correlation for PNUE-Tcwm was strong. The PR was inversely proportional to Tcwm, which was similar to the relationship between gm and Tcwm (p-value < 0.01), so that the internal CO2 drawdown from intercellular airspace to carboxylaton sites was relatively conservative over a wide range of Tcwm. Collectively, the coordination of changes in PR and gm connecting Tcwm suggested the complex physiological mechanisms mediated by Tcwm modulating PNUE across contrasting plant groups.

plant biology↗

Explicit expression of mesophyll conductance in the traditional leaf photosynthesis-transpiration coupled model and its physiological significances

O_LIAlmost all terrestrial biosphere models (TBMs) still assume infinite mesophyll conductance (gm) to estimate photosynthesis and transpiration. This assumption has caused low accuracy of TBMs to predict leaf gas exchange under certain conditions. C_LIO_LIIn this study, we developed a photosynthesis-transpiration coupled model that explicitly considers gm and designed an optimized parameterization solution through evaluating four different gm estimation methods in 19 C3 species at 31 experimental treatments. C_LIO_LIResults indicated that temperature responses of the maximum carboxylation rate (Fcmax) and the electron transport rate (Jmax) estimated by fusing the Bayesian retrieval algorithm and the Sharkey online calculator together with gm temperature response estimated by fusing the chlorophyll fluorescence-gas exchange method and anatomy method predicted leaf gas exchange more accurately. The gm temperature response exhibited activation energy ({Delta}Ha) of 63.13 {+/-} 36.89 kJ mol-1 and entropy ({Delta}S) of 654.49 {+/-} 11.36 J K-1 mol-1. The gm optimal temperature (Topt_gm) explained 58% of variations in photosynthesis optimal temperature (ToptA). The gm explicit expression has equally important effects on photosynthesis and transpiration estimations. C_LIO_LIResults advanced understandings of better representation of plant photosynthesis and transpiration in TBMs. C_LI

ecology↗