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. 2022 Nov;236(4):1281-1295.
doi: 10.1111/nph.18427. Epub 2022 Sep 1.

Mesophyll conductance response to short-term changes in pCO2 is related to leaf anatomy and biochemistry in diverse C4 grasses

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Mesophyll conductance response to short-term changes in pCO2 is related to leaf anatomy and biochemistry in diverse C4 grasses

Varsha S Pathare et al. New Phytol. 2022 Nov.

Abstract

Mesophyll CO2 conductance (gm ) in C3 species responds to short-term (minutes) changes in environment potentially due to changes in leaf anatomical and biochemical properties and measurement artefacts. Compared with C3 species, there is less information on gm responses to short-term changes in environmental conditions such as partial pressure of CO2 (pCO2 ) across diverse C4 species and the potential determinants of these responses. Using 16 C4 grasses we investigated the response of gm to short-term changes in pCO2 and its relationship with leaf anatomy and biochemistry. In general, gm increased as pCO2 decreased (statistically significant increase in 12 species), with percentage increases in gm ranging from +13% to +250%. Greater increase in gm at low pCO2 was observed in species exhibiting relatively thinner mesophyll cell walls along with greater mesophyll surface area exposed to intercellular air spaces, leaf N, photosynthetic capacity and activities of phosphoenolpyruvate carboxylase and Rubisco. Species with greater CO2 responses of gm were also able to maintain their leaf water-use efficiencies (TEi ) under low CO2 . Our study advances understanding of CO2 response of gm in diverse C4 species, identifies the key leaf traits related to this response and has implications for improving C4 photosynthetic models and TEi through modification of gm .

Keywords: C4 photosynthesis; CO2 response of mesophyll conductance; PEPC affinity for bicarbonate (Km); carbonic anhydrase (CA); leaf anatomy; mesophyll cell wall thickness; phosphoenolpyruvate carboxylase (PEPC); water-use efficiency.

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Figures

Fig. 1
Fig. 1
Response of mesophyll conductance (g m) to changes in the partial pressure of CO2 (pCO2) inside the leaf chamber (C a) in 16 diverse C4 grasses. Data for each of the species are shown separately from panels (a) to (p) along with the CO2 response of g m (black solid line) modelled using the equation, g m = a × (34/C a) b , where coefficient ‘a’ is the value of g m at 34 Pa pCO2 and coefficient ‘b’ is the rate of change in g m with change in C a. Mean ± SE values for the model constants (a and b) for each species are shown in Supporting Information Table S3. Measurements were performed at constant light (photosynthetic photon flux density (PPFD) = 1200 μmol m−2 s−1) and leaf temperature (25°C). Values in each panel represent the mean ± SE (green colour) with n = 3–6. Grey points indicate the replicate values for each species and CO2 level. Response of g m to changes in pCO2 for each species is plotted in separate panel of Fig. 1. Species code has been indicated as the first letter of the genus and first three letters of the species (please refer to Table 1 for full names of species). P‐values from one‐way ANOVA along with Tukey's letters are shown.
Fig. 2
Fig. 2
Relationship of coefficient b (or sensitivity of g m, unitless) with (a) mesophyll cell wall thickness (T CW), (b) mesophyll surface area exposed to intercellular air spaces (Smes), (c) ratio of T CW : Smes, (d) stomatal ratio (SR), (e) stomatal density adaxial (SDada) and (f) leaf thickness among the 16 C4 grasses measured in current study. Linear models were used for deriving regression coefficients (R 2) in all panels, except panels (a) and (c) for which we used a polynomial model. Significance of R 2: *, P ≤ 0.05; **, P ≤ 0.01; ***, P ≤ 0.001. Each circle represents the mean ± SE value for each species (n = 3–6). Species names are indicated by the codes given in Table 1.
Fig. 3
Fig. 3
Relationship of coefficient b (or sensitivity of g m, unitless) with (a) phosphoenolpyruvate carboxylase (PEPC) activity, (b) Rubisco activity, (c) carbonic anhydrase (CA) activity expressed as k CA, (d) PEPC affinity for HCO3 (K m), (e) maximum photosynthetic capacity (A max) and (f) leaf N content (Narea) among the 16 C4 grasses measured in current study. Linear models were used for deriving regression coefficients (R 2) in all panels. In panel (c) R 2 = 0.22+ after removing influential species pvir. Significance of R 2: +, marginally significant; *, P ≤ 0.05. Each circle represents the mean ± SE value for each species (n = 3–6). Species names are indicated by codes given in Table 1.
Fig. 4
Fig. 4
Relationship of coefficient b (or sensitivity of g m, unitless) with ratio of mesophyll cell wall thickness (T CW) to (a) phosphoenolpyruvate carboxylase (PEPC) activity (b) Rubisco activity (c) PEPC affinity for HCO3 (K m), (d) carbonic anhydrase (CA) activity expressed as k CA, (e) maximum photosynthetic rates (A max) and (f) leaf N content (Narea) among the 16 C4 grasses measured in current study. Polynomial models were used to derive regression coefficients (R 2) in all panels. Significance of R 2: *, P ≤ 0.05; **, P ≤ 0.01; ***, P ≤ 0.001. Each circle represents the mean ± SE value for each species (n = 3–6). Species names are indicated by codes given in Table 1.

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