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Article

Respiratory and Photosynthetic Responses of Antarctic Vascular Plants Are Differentially Affected by CO2 Enrichment and Nocturnal Warming

by
Carolina Sanhueza
1,*,
Daniela Cortes
2,
Danielle A. Way
3,4,5,
Francisca Fuentes
2,
Luisa Bascunan-Godoy
1,
Nestor Fernandez Del-Saz
1,*,
Patricia L. Sáez
2,6,
León A. Bravo
7 and
Lohengrin A. Cavieres
1,6
1
Laboratorio de Fisiología Vegetal, Departamento de Botánica, Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción, Barrio Universitario s/n, Concepción, Casilla 160-C, Concepción 4030000, Chile
2
Laboratorio Cultivo de Tejidos Vegetales, Centro de Biotecnología, Departamento de Silvicultura, Facultad de Ciencias Forestales, Universidad de Concepción, Casilla 160-C, Concepción 4030000, Chile
3
Department of Biology, University of Western Ontario, 1151 Richmond Street, London, ON N6A 5B7, Canada
4
Nicholas School of the Environment, Duke University, Durham, NC 27708, USA
5
Division of Plant Sciences, Research School of Biology, The Australian National University, Canberra, ACT 2601, Australia
6
Instituto de Ecología y Biodiversidad-IEB, Las Palmeras 3425, Ñuñoa, Santiago 7800003, Chile
7
Laboratorio de Fisiología y Biología Molecular Vegetal, Instituto de Agroindustria, Departamento de Ciencias Agronómicas y Recursos Naturales, Facultad de Ciencias Agropecuarias y Forestales and Center of Plant, Soil Interaction and Natural Resources Biotechnology, Scientific and Technological Bioresource Nucleus, Universidad de La Frontera, Casilla 54-D, Temuco 4780000, Chile
*
Authors to whom correspondence should be addressed.
Plants 2022, 11(11), 1520; https://0-doi-org.brum.beds.ac.uk/10.3390/plants11111520
Submission received: 20 April 2022 / Revised: 2 June 2022 / Accepted: 3 June 2022 / Published: 6 June 2022
(This article belongs to the Special Issue Antarctic Plants Responses to Abiotic Stress)
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Abstract

:
Projected rises in atmospheric CO2 concentration and minimum night-time temperatures may have important effects on plant carbon metabolism altering the carbon balance of the only two vascular plant species in the Antarctic Peninsula. We assessed the effect of nocturnal warming (8/5 °C vs. 8/8 °C day/night) and CO2 concentrations (400 ppm and 750 ppm) on gas exchange, non-structural carbohydrates, two respiratory-related enzymes, and mitochondrial size and number in two species of vascular plants. In Colobanthus quitensis, light-saturated photosynthesis measured at 400 ppm was reduced when plants were grown in the elevated CO2 or in the nocturnal warming treatments. Growth in elevated CO2 reduced stomatal conductance but nocturnal warming did not. The short-term sensitivity of respiration, relative protein abundance, and mitochondrial traits were not responsive to either treatment in this species. Moreover, some acclimation to nocturnal warming at ambient CO2 was observed. Altogether, these responses in C. quitensis led to an increase in the respiration-assimilation ratio in plants grown in elevated CO2. The response of Deschampsia antarctica to the experimental treatments was quite distinct. Photosynthesis was not affected by either treatment; however, respiration acclimated to temperature in the elevated CO2 treatment. The observed short-term changes in thermal sensitivity indicate type I acclimation of respiration. Growth in elevated CO2 and nocturnal warming resulted in a reduction in mitochondrial numbers and an increase in mitochondrial size in D. antarctica. Overall, our results suggest that with climate change D. antarctica could be more successful than C. quitensis, due to its ability to make metabolic adjustments to maintain its carbon balance.

1. Introduction

Since the Industrial Revolution, atmospheric CO2 concentrations have steadily increased, and by the end of the century, CO2 concentrations will be >550 ppm as a consequence of fossil fuel burning and land-use changes [1,2]. Consequently, climate warming will likely increase global mean surface temperatures by 1.5 °C between 2030 and 2052 [3], while for high latitudes, such as the Antarctic, two-thirds of climate models project warming of 1.8 °C to 3.3 °C by the year 2100 [4]. Additionally, temperatures are increasing more rapidly during the night than during the day [5], and this asymmetric warming is projected to be stronger at high latitudes where cold nights could warm by up to 4.5 °C [3].
The physiological effects of nocturnal warming and increased atmospheric CO2 concentrations on the carbon metabolism, and consequently, performance of plants inhabiting polar ecosystems, are still poorly understood. Plant carbon metabolism is governed by photosynthesis and respiration, which are interdependent processes, where most of the non-structural carbohydrates produced by photosynthesis, including soluble sugars and starch, are used as substrates by respiration [6,7]. While it is well known that net photosynthesis (Anet) and respiration tend to be correlated [8,9,10], each process is differentially affected by environmental factors. Thus, the impact of warming and/or elevated CO2 on plant carbon metabolism will depend on their differential effects on photosynthesis and respiration [11].
Increases in temperature often increase Anet by stimulating biochemical reaction rates, including photosynthetic electron transport and Rubisco carboxylation [12,13,14]. However, photosynthetic acclimation to environmental temperature may induce stimulation or reduction of maximum photosynthetic rates depending on the plant functional type [15]. On the other hand, higher CO2 concentrations stimulate Anet by increasing CO2 substrate availability for Rubisco and suppressing photorespiration [11,16]. Long-term exposure to elevated CO2 can decrease this photosynthetic stimulation via declines in stomatal conductance or a build-up of leaf carbohydrates that lead to the downregulation of photosynthetic capacity [17].
Respiration also can be altered by warming [18,19,20,21]. In contrast to photosynthesis, respiration tends to acclimate to increases in growth temperature to a similar degree in species from different biomes [22,23], where lower respiration rates occur in plants grown at higher temperatures compared to control plants when measured at a common temperature [24]. In the short term, thermal acclimation can often affect the sensitivity of respiration (type I acclimation), manifested through a change in the Q10 (the increase in respiration for a 10 °C increase in leaf temperature), reflecting limitations by substrate availability and/or the activity of several enzymes in response to the instantaneous increase in temperature [22,25,26]. Long-term exposure to warmer temperatures usually leads to type II acclimation, where respiration dynamically adjusts to changes in the growth environment [24]. This acclimation affects the overall respiratory capacity, involving changes in the abundance, structure, and/or protein composition of mitochondria [22,24,26,27].
Elevated atmospheric CO2 concentrations can also influence respiration both in the short and long term; however, the extent of its impact is not yet fully understood. Rapid changes in CO2 concentration may have direct, but reversible, effects on respiration [28,29] by decreasing the activity of several enzymes [29,30,31,32,33]. In some studies, prolonged exposure to CO2 enrichment decreases respiration rates [19,34,35,36], while in others it leads to elevated respiration rates [37,38]. Griffin et al. (2001) reported that elevated CO2 produced significant structural changes, such that increased respiration correlated with an increased number of mitochondria per cell.
In terms of carbon balance, the ratio of respiration/photosynthesis (R/A) at a certain growth temperature is often constant, even in plants experiencing contrasting growth temperatures ([10] and citations therein). Thus, it is often expected that warming leads to coordinated acclimation of both respiration and photosynthesis to maintain a homeostatic carbon balance [11]. However, elevated CO2 affect photosynthesis more strongly than respiration, leading to alterations in the carbon balance of some species [39]. Long-term exposure to elevated CO2 will suppress photosynthesis, with potential detrimental consequences on carbon gain [40]; however, downregulation of respiration at higher CO2 conditions could reduce this impact. Although some reports affirm that interspecific variation in thermal acclimation of dark respiration is more important than acclimation of respiration to CO2 enrichment [18,21,33], the impact of elevated CO2 on respiration at a physiological level is still poorly understood. Since elevated CO2 seems to have a greater impact on photosynthesis and warming has a stronger impact on respiration, plant carbon dynamics of future vegetation will depend on plant responses to the combination of elevated CO2 and warming. In addition, many of the impacts of increased CO2 on plant metabolism are offset by increasing temperatures, so these global change factors must be assessed together to build a realistic picture of how a changing climate will impact plants [41].
It is important to evaluate the ability of photosynthesis and respiration to acclimate to climate change factors in species from colder habitats, such as Antarctica. In these habitats, photosynthesis is frequently limited (e.g., by low temperatures and highly variable irradiance), and thermal acclimation of respiration and photosynthesis may thus be required to ensure the maintenance of a positive plant carbon balance. The Antarctic Peninsula has experienced one of the most rapid increases in temperature on Earth, and this warming is projected to continue [42,43,44]. In addition, atmospheric CO2 concentrations at the South Pole are higher today than they have been in the last 800 years, having surpassed 400 ppm in 2016 [3,45,46]. Colobanthus quitensis (Kunth) Bartl. (Carophyllaceae) and Deschampsia antarctica Desv. (Poaceae) are the only two vascular plants species that have naturally colonized the Antarctic Peninsula. Their distribution is strongly influenced by climate [47], and local population increases due to climate warming have been documented [48,49]. Bui (2016) evaluated the combined effect of elevated CO2 and diurnal warming on photosynthesis of these Antarctic species, suggesting that high CO2 could increase photosynthesis at temperatures close to the photosynthetic thermal optimum in D. antactica, but not in C. quitensis. In contrast, in situ diurnal warming increased photosynthesis in C. quitensis, while photosynthesis in D. antarctica showed no response to warming [50]. In a previous study, we found that nocturnal warming improves the carbon balance of these two Antarctic species through different mechanisms: respiratory acclimation in C. quitensis and increases of maximum light-saturated net CO2 assimilation rates (Asat) in D. antarctica [51]. Although Asat was not significantly increased by nocturnal warming in C. quitensis, the higher degree of respiratory thermal acclimation allowed this species to increase its carbon balance under nocturnal warming. However, the combined effects of nocturnal warming with CO2 enrichment on foliar carbon balance have not been yet assessed in these Antarctic species.
In the present study, we examined the extent to which elevated CO2 may alter carbon balance in C. quitensis and D. antarctica when exposed to nocturnal warming. We hypothesized that long-term exposure to concurrent elevated CO2 conditions, and nocturnal warming would lead to decreased photosynthesis in both Antarctic species. However, the impact of this decline in photosynthesis on carbon balance would depend on the extent of thermal acclimation of respiration to nocturnal warming, which was expected to be greater in C. quitensis than D. antarctica. To determine the mechanism underlying respiration acclimation, the main substrates for respiration (total soluble sugars (TSS) and starch) were evaluated. Additionally, the relative concentration of two respiratory metabolism enzymes (Phosphoenol-pyruvate carboxylase (PEPc) and cytochrome oxidase (COXII)) important in replenishing oxalacetate in the tricarboxylic acid cycle and reducing oxygen to water and coupling ATP production in the electron transport chain, respectively. The number and size of mitochondria were also evaluated in leaves from across the CO2 and temperature treatments to determine if long-term thermal acclimation of respiration involved changes in the abundance or structure of mitochondria.

2. Results

2.1. Gas Exchange and Carbon Balance

In C. quitensis, there was a CO2 x warming interaction effect for Asat. The Asat was 30% lower in AW than AC plants, while Asat increased in EW plants compared to EC plants (Figure 1A). In contrast, neither elevated CO2 nor warming altered Asat in D. antarctica (Figure 1B). The stomatal conductance (gs) was increased by nocturnal warming and decreased in elevated CO2 in C. quitensis (Table 1; Figure 1C). In contrast, neither elevated CO2 nor warming altered gs were found in D. antarctica (Figure 1D).
In C. quitensis, changes in atmospheric CO2 concentration and nocturnal warming did not significantly affect R10, E0, or Q10 (Figure 2A,C,E). In D. antarctica, R10 was not affected by either treatment (Figure 2B), whilst the E0 and Q10 were significantly higher in plants grown at elevated CO2 than at ambient CO2 (Figure 2D,F), which was largely driven by low E0 and Q10 values in the AW treatment.
The Acclimset-temp for C. quitensis was 1.34 ± 0.14 and 0.92 ± 0.21 for ambient and elevated CO2-grown plants, respectively. For D. antarctica, values of Acclimset-temp were 1.00 ± 0.21 and 1.73 ± 0.26 for ambient and elevated CO2, respectively (Figure 2G,H). There was no significant effect of elevated CO2 on Acclimset-temp for either species (p = 0.14 and p = 0.06 for C. quitensis and D. antarctica, respectively).
For foliar carbon balance, the ratio of R/A was not affected by night temperature in the ambient CO2 grown C. quitensis but was almost 50% lower in EW plants than in EC plants. Additionally, R/A was higher in the elevated CO2 treatment than in the ambient CO2 treatment for C. quitensis (Figure 1E), which was largely driven by the high R/A in the EC individuals. In contrast, the R/A ratio showed a small, but significant, decrease in the warming treatments in D. antarctica (Figure 1F) but was not affected by the CO2 treatments.

2.2. Non-Structural Carbohydrates, Relative Abundances of PEPc and COX-II

Neither total soluble sugar (TSS) nor starch concentrations of C. quitensis were affected by the CO2 and thermoperiod treatment (Figure 3A,C). However, in D. antarctica, while TSS concentrations were not significantly affected by growth treatments, starch concentrations were reduced by nocturnal warming (Figure 3B,D).
Neither the relative abundance of PEPc nor that of COX-II were significantly affected by the treatments in C. quitensis (Figure 4A,C). In D. antarctica, elevated growth CO2 concentrations suppressed the relative expression of PEPc, with warming increasing PEPc relative abundance in ambient CO2-grown plants but reducing PEPc relative abundance in plants grown at elevated CO2 (Figure 4B). There was also an interactive effect of growth CO2 and nocturnal temperature on COX-II relative abundance in D. antarctica, resulting from a strong suppression of COX-II levels in EC plants compared to the other three treatments (Figure 4D).

2.3. Mitochondrial Traits

Neither the number nor the size of mitochondria in C. quitensis was affected by CO2 or warming (Figure 5A,C). In D. antarctica, nocturnal warming reduced the number of mitochondria, but increased mitochondrial size, especially in EW plants (Figure 5B,D). While there was no correlation between mitochondrial size and number in C. quitensis (Figure 5E), D. antarctica showed a tradeoff between mitochondrial size and number, whereby smaller numbers of mitochondria were correlated with larger mitochondrial size (Figure 5F).
For C. quitensis, mitochondria from each growth condition appeared to maintain a similar shape, and large starch granules were visible inside the chloroplasts in all samples observed (Figure 6). For D. antarctica, despite changes in the mitochondrial size under warming treatments, there were no obvious changes in the shape of mitochondria between different growing conditions (Figure 7), though neither mitochondrial shape nor the presence of starch granules in the mitochondria could be assessed quantitatively.

3. Discussion

In this study, we evaluated the effects of elevated CO2 and nocturnal warming on gas exchange and related the biochemistry and anatomy of Antarctic species in order to determine the extent to which elevated CO2 may alter the carbon balance in C. quitensis and D. antarctica under nocturnal warming conditions. We found that these two species showed different acclimation strategies in the face of combined elevated CO2 and warm night temperatures. In C. quitensis, the downregulation of Asat in long-term EC grown plants suggests a strong metabolic adjustment at chloroplast level, which could involve Rubisco reductions. In this species, the short-term sensitivity of respiration and the relative abundances of PEPc and COXII indicate a lack of respiratory response at most of the conditions tested. Indeed, the only respiratory parameter that showed any response to warming or elevated CO2 in this species was Acclimset-temp, which suggests some degree of thermal acclimation at the ambient CO2-acclimated plants. Reduced photosynthesis measured at 400 ppm of CO2 and limited respiratory acclimation can lead to an increased ratio of R/A in C. quitensis when grown in elevated CO2. However, we did not evaluate Asat at 750 ppm for any species; thus, it was not possible to assess whether photosynthesis acclimation at elevated CO2 occurred. Contrary to C. quitensis, in D. antarctica, the Asat and gs did not change at any CO2 or warming treatments. Moreover, for both species, the high amounts of starch granules in leaf tissues suggest high photosynthetic rates in plants growth at elevated CO2. E0 and Q10 were higher in plants exposed to elevated CO2 levels than in those under ambient CO2 conditions, leading to type I acclimation, mediated by changes in the relative abundance of PEPc and COXII, suggesting reductions in TCA cycle intermediates and variations in ATP production, respectively. The combined effect of elevated CO2 and nocturnal warming resulted in a smaller quantity of mitochondria, but they were of the largest size, reflecting a high capacity of type II acclimation in this species.

3.1. Elevated CO2 and Nocturnal Warming Differentially Affected the Photosynthetic Performance of the Two Antarctic Species

Most plants tend to show a downregulation of photosynthesis when acclimated to long-term high CO2 conditions [11,52,53]. This CO2-induced downregulation in photosynthesis could be linked to shifts in the CO2 supply via changes in gs [54]. It could also be attributed to a sugar feedback mechanism, through which excessive photosynthate concentrations in chloroplasts are thought to repress the transcription of Rubisco [53]. In C. quitensis, elevated CO2-induced reduction in stomatal conductance resulted in a significant decrease in Asat measured at 400 ppm. Previous studies have affirmed that gs plays an important role in carbon gain in Antarctic species, offsetting the diffusive limitation imposed by the extremely low mesophyll conductance in both species [50]. The downregulation of Asat in EC grown plants suggests a strong metabolic adjustment at the chloroplast level, involving Rubisco reductions. Long-term exposure to CO2 enrichment has been associated to decreased Rubisco protein and nitrogen reallocation to more limiting process [55] or even as a source of amino acids, because nitrate assimilation also can become inhibited by elevated growth CO2 [56]. Moreover, photosynthesis in the elevated CO2-grown plants were not evaluated at 750 ppm; thus, it was not possible to assess whether photosynthesis acclimation at elevated CO2 occurred. Despite elevated CO2 levels in D. antarctica, they had no effect on stomatal conductance and carbon assimilation at ambient CO2; this does not mean that Asat evaluated at 750 ppm could be higher than at 400 ppm. In addition, in both species, the high amount of visible starch by electron microscopy (Figure 6C and Figure 7C) suggests high photosynthetic rates in plants grown at elevated CO2. Further experiments would eventually include the evaluation of acclimation of Asat and changes of foliar nitrogen at the new growth CO2 environment.
Nocturnal warming may induce overconsumption (or accumulation) of carbohydrates, resulting in elevated (or decreased) rates of photosynthesis, respectively [57,58]. A photosynthetic downregulation have been associated with decreases in stomatal conductance, production of reactive oxygen species, and the deactivation of several key chloroplast stromal enzymes at night [58,59,60,61]. In accordance with previous reports of experimental diurnal warming, here, both Antarctic plants showed contrasting responses to nocturnal warming [50,62]. Although the warming conditions of both CO2 environments reduced Asat in C. quitensis, the interaction of both factors (EW) largely offset the downregulation of photosynthesis at elevated CO2 in plants measured at 400 ppm of CO2. The positive effect of this interaction could be related to specific adjustments in the leaves of this species at the anatomical level [50]. Despite this, in C. quitensis, warming-induced reductions in Asat that were not related to gs and could be associated with enzymatic or metabolic changes in response to increased night-time temperatures [58,63]. For D. antarctica, responses to nocturnal warming were similar to previous reports on daily warming, showing no changes in photosynthesis due to warming, at least at suboptimal temperatures [50,64]. TSS levels of both Antarctic plants were apparently unaffected by increased CO2 levels or warming, suggesting either there were changes in the turnover rate of these pools or increased carbohydrate export. Further studies examining photosynthetic enzymes, metabolic intermediates, and carbohydrate translocation dynamics from leaves to roots are necessary to elucidate the effect of nocturnal warming on the photosynthesis of Antarctic plants. Most studies have focused on evaluating the interaction between higher daytime temperatures and CO2 enrichment [11,21,38,39,65,66], while few have evaluated the interaction with increased night-time temperatures. Turnbull et al. (2004) reported that the increase in photosynthesis induced by warmer night-time temperatures was not affected by elevated CO2 [67]; however, Cheng et al. (2009) reported that increased photosynthesis at elevated CO2 levels was offset by high night-time temperatures [68]. Here, we found that nocturnal warming could alleviate the downregulation on Asat, particularly for C. quitensis. Considering that the two evaluated Antarctic species showed interspecific responses of Asat to elevated CO2 at 400 ppm of CO2 and nocturnal warming, we hypothesized that the effect of warming depended on the CO2 environment, highlighting the need for factorial experiments that expose plants to multiple global change factors, especially considering species from extreme environments.

3.2. Dark Respiration Showed Differential Sensitivity and Thermal Acclimation to Elevated CO2 and Nocturnal Warming

In agreement with Sanhueza et al. (2019), nocturnal warming altered the thermal sensitivity of respiration in D. antarctica, while respiration was unaffected by warming in C. quitensis. According to the mechanisms underlying respiratory acclimation type I, proposed by Atkin and Tjoelker (2003), substrate availability determines changes in Q10 [69,70]. Thus, in D. antarctica exposed to nocturnal warming, a decrease in Q10 was attributed to a greater depletion of starch to support respiration in leaves or sink organs [26]. The enzyme PEPc, which catalyzes the conversion of phosphoenolpyruvate to oxaloacetate in the cytosol and is subsequently reduced to malate that is then utilized in the TCA cycle [29], was affected differently by warming depending on the CO2 growth environment. Thus, a significant decrease in the relative expression of PEPc under EW could reflect a reduction in the entrance of pyruvate or malate to the TCA cycle, which is because of intermediates’ reduction, which may decrease decarboxylation reactions. This response could explain the slight (yet non-significant) reduction of R10 in this species. Noguchi et al. (2018) reported that both the ratio of intermediates and the maximal activity of enzymes involved in the TCA cycle changed at elevated CO2 levels; they also related these changes to an increased amino acid production [71].
Considering that responses related to carbon release at the TCA level do not necessarily correspond to what is occurring at the electron transport chain level, the quite different responses at the ETC scale suggest that the respiratory metabolism of D. antarctica has a high plasticity, mainly at elevated CO2 growth. Variations in the relative COX II content, evaluated as a proxy for the cytochrome oxidase pathway (COP), suggest changes at the energy production level (ATP). However, any negative effect of high CO2 (e.g., a significant decrease of COX II at EC) seems to be offset under nocturnal warming when both factors occur simultaneously (EW). This is in accordance with several studies where plants have shown opposite responses to increased CO2 and warming, even when comparing species from the same functional group [66,67,69,72].
We hypothesized that elevated CO2 accompanied by nocturnal warming would enhance the thermal acclimation of respiration in C. quitensis more than in D. antarctica. However, we found little evidence for respiratory acclimation to warming under elevated CO2 in C. quitensis, contrary to D. antarctica, which showed a high degree of thermal acclimation. The Acclimset-temp values reported here are higher than those reported for forbs and graminoids inhabiting polar regions, though they are similar to previously reported values for Antarctic plants and other plant species under warmer growth conditions [51,70,73,74]. Respiratory acclimation to warmer temperatures generally results in lower respiration rates, which have been associated with smaller mitochondria [75], although few reports have related respiration rates with mitochondrial structural changes. Griffin et al. (2001) reported that elevated CO2 reduced respiration rates and mitochondrial numbers, without affecting mitochondrial size [37]. For D. antarctica, respiratory acclimation at elevated CO2 under warming resulted in a tradeoff between mitochondrial size and number (Figure 5F). Increases in mitochondria size at EW may reflect the production of new respiratory components mainly at the mETC. The effect of elevated CO2 on components of mETC in Nicotiana tabacum doubled the amount of alternative oxidase (AOX) protein in leaves [76] to maintain both the carbon and energy balance in photosynthetic tissues during growth under these conditions. For D. antarctica, exposure to higher temperatures has been reported to increase AOX activity in leaves as a consequence of higher metabolic activity [77]. The AOX respiratory pathway could play a role in the reduction of the reactive oxygen of species and even aid plants in coping with excessive energy in chloroplasts, thus avoiding over-reduction [63,78]. Consequently, in this species, the mechanisms underlying respiratory acclimation at elevated CO2 proved to be highly dynamic, comprising complex physiological, biochemical, and molecular adjustments. Future experiments must evaluate the regulation of the two respiratory pathways under warming and elevated CO2 in Antarctic plants in order to further understand the effect of climate change on respiration and growth.

3.3. The Determining Factor to Maintain the Carbon Balance in Antarctic Species Appears to Be the Maintenance of the Photosynthetic Rate

A reduction in photosynthetic performance due to environmental changes could be detrimental for the maintenance of carbon gain in any species. Furthermore, if this condition is maintained over time, it could reduce growth and survival [79]. In C. quitensis, the strong decline in Asat at 400 ppm under elevated CO2 levels in addition to the lack of respiratory response at this condition significantly increased the ratio of photosynthesis to respiration, which eventually could harm the foliar carbon balance in this species. Moreover, the evaluation of assimilation rates at 750 ppm of CO2 could better explain the effect of CO2 on carbon gain under a new growth condition. Despite this, greater plasticity at the mitochondrial respiratory level can also give an advantage in terms of an adequate maintenance on carbon balance. In this way, in C. quitensis, most of the physiological parameters evaluated across this study suggest a low capacity for respiration acclimation to elevated CO2 and nocturnal warming in this species. In contrast, in D. antarctica, the capacity to maintain high photosynthetic rates at warmer nights and elevated CO2 seemed to respond to the modification of traits related to mitochondrial respiration, thus contributing to maintain the leaf carbon balance. Thus, the high capacity for morphological and physiological adjustments of D. antactica seems to be an important trait helping to tolerate environmental changes and contributing to increase its ability to successfully colonize and spread throughout the Antarctic Peninsula.

4. Materials and Methods

4.1. Plant Material

Colobanthus quitensis (Kunth) Bartl. (Antarctic pearlwort) and Deschampsia antarctica Desv. (Antarctic hairgrass) were collected near H. Arctowski Polar Antarctic Station on King George Island (62°09′ S, 58°28′ W), corresponding to an intermediate vegetation zone [50]. Plants of both species (24 individuals per species) were wrapped in moist paper, sealed in Ziploc bags, and transported in Styrofoam boxes kept cool with ice packs, before being transported to the Biotron Centre for Experimental Climate Change Research at the University of Western Ontario, London, ON, Canada. Individuals of each species were planted into 10 cm diameter pots (0.5 L) with a potting medium of black loam/peat moss/vermiculite (3/1/1, v/v/v). Plants were kept in a walk-in growth chamber (Environmental Growth Chambers, Chagrin Falls, OH, USA) at 10 °C and 300 μmol photons m−2 s−1, with an 18/6 h light/dark cycle and ~60% relative humidity to minimize any stress incurred during transport. Two weeks later, plants were moved into the combined elevated CO2 and nocturnal warming experiment.

4.2. Experimental Design

The experiment was a full-factorial design with two different CO2 environments (ambient, A, 400 ppm CO2; elevated, E, 750 ppm CO2) and two nocturnal thermoperiods (control, C, 8/5°C; warming, W, 8/8 °C). The different treatments applied will be reported as AC (ambient CO2, control thermoperiod), AW (ambient CO2, nocturnal warming), EC (elevated CO2, control thermoperiod), and EW (elevated CO2, nocturnal warming). The control temperatures represent values close to the maximum air temperatures registered during the Maritime Antarctic summer [50]. Each experimental condition was achieved in an independent walk-in growth chamber under the same light intensity and photoperiod as described above. In each chamber, plants were watered twice a week, fertilized with half-strength Hoagland’s solution at the beginning of the experiment, and maintained for 21 days, corresponding to time period in which both Antarctic species reach a high capacity of acclimation [47,50,80,81]. Potential chamber and edge effects were minimized by rotating the plants among the chambers every four days.

4.3. Gas Exchange

Gas exchange measurements were performed using a portable photosynthesis system (Li-6400XT, LI-COR Inc., Lincoln, NE, USA) on a set of leaves inside a 2 cm2 cuvette (from either a branch of C. quitensis or a tiller of D. antarctica), to maximize leaf cover of the cuvette area while avoiding leaf overlap. When the leaf area was smaller than the cuvette area, the actual leaf was photographed and analyzed using ImageJ software (US National Institutes of Health, Bestheda, MD, USA).
Temperature response curves of leaf dark respiration were measured at 5, 10, 15, 20, 25, and 30 °C, under cuvette conditions of 400 ppm CO2, ~60% relative humidity, and an irradiance of 0 µmol photons m−2 s−1 between 9:00 and 18:00 on five replicates per species per treatment. Leaves were exposed to at least 30 min of darkness before the first measurement was made. The temperature response curves were analyzed by fitting each leaf temperature-respiration measurement to a modified Arrhenius equation [51,57,82]
R = R10exp [(E0/g) (1/T10 − 1/Ti)],
From the fitted equations for each replicate plant, we obtained R10 (the dark respiration rate at 10 °C, in µmol m−2 s−1) and E0, which is equivalent to the overall activation energy of the process (in Jmol−1K−1) and describes the temperature sensitivity of respiration [83]. The Q10, corresponding to the temperature sensitivity of respiration, was calculated as:
Q10 = (R/Rref) exp [10/T − Tref].
This approach allows for the calculation of Q10 for temperature intervals that derivate from 10 °C, where Tref is the low reference temperature and Rref is the respiration rate at this reference temperature [83].
Maximum net CO2 assimilation rates at saturating light (Asat) were measured on the same five plants that were measured for respiration from each treatment. The Asat was measured at saturating irradiance (1000 µmol photons m−2s−1) at 10 °C, 400 ppm CO2 and ~60% relative humidity. Estimates of leaf carbon balance (R/A) were obtained from the ratio of R10 to Asat.

4.4. Quantification of Thermal Acclimation of Respiration

The set temperature method was used to quantify the degree of respiratory thermal acclimation [22,51], as per [84]:
Acclimset-temp = Rcontrol/Rwarming,
where Acclimset-temp indicates the strength of acclimation, Rcontrol is R10 from the control night temperature plants, and Rwarming is R10 from the warm-acclimated plants. Two values of Acclimset-temp were obtained for each species, corresponding to thermal acclimation at either an ambient CO2 or an elevated CO2 environment. An Acclimset-temp of >1 indicates thermal acclimation, while an Acclimset-temp of <1 indicates no thermal acclimation occurred in warm-grown plants.

4.5. Biochemical Analyses

Leaf samples were collected from five plants per species per treatment for biochemical and anatomical analyses after measurements of gas exchange. Total soluble sugar (TSS: combined glucose, fructose, and sucrose concentrations) and starch concentrations were evaluated following the method of Marquis et al. (1997), using 15 mg of lyophilized leaf tissue [85]. Total soluble sugars were extracted with a methanol/chloroform/water (12/5/3, v/v/v) solution separated from nonpolar pigments and lipids according to Dickinson (1979) and determined by colorimetry using phenol 2% and sulfuric acid, and a measuring absorbance of 490 nm [86,87]. Starch from the insoluble fraction was hydrolyzed to glucose overnight using a sodium acetate buffer and amyloglucosidase (Sigma-Aldrich 10115, St. Louis, MO, USA) at 45 °C and then measured with a phenol-sulfuric acid reaction [85].
The relative protein content of phosphoenolpyruvate carboxylase (PEPc) and cytochrome oxidase (COX-II) were evaluated from the same leaf samples as the carbohydrates. Total protein extractions were performed following the method of Yamori and Von Cammerer (2009) [88]. Then, 100 g of lyophilized tissue was mixed with buffer with 50 mM HEPES-KOH (pH = 7.8), 10 mM MgCl2, 1 mM EDTA, 5 mM DTT, and 0.1% Triton X-100 (v/v). The extracts were centrifuged at 8000 rpm for 1 min at 4 °C. A total of 230 µL of the supernatant was taken and 70 μL of 10% SDS was added by heating at 65 °C for 10 min. Next, 45 μL of the extract was added to 15 μL of 4X sample buffer containing 250 mM Tris-HCl (pH = 6.8), 40% glycerol, 8% SDS, 0.2% bromophenol, and 200 mM DDT. The extract was then heated at 100 °C for 5 min and centrifuged at 8000 rpm for 1 min. Subsequently the extracts were incubated in a fridge until SDS-PAGE electrophoresis. Leaf extracts were separated by sodium dodecyl sulphate-polyacrilamide gel electrophoresis using a 4–12% gradient polyacrylamide gels and then transferred to a nitrocellulose membrane at 100 v for 1 h and visualized using Ponceau Red staining (Merck). Subsequently, the total proteins were immunolocalized with PEPc and COXII antibodies (Goat Anti-Rabbit HRP conjugated, Vännäs, SWEDEN) at a concentration of 1:1000. The proteins were detected by chemiluminescence (ECL) (Pierce, Rockford, IL, USA) on an X-ray film (Fuji, Tokyo, Japan). The densitometric chemiluminescent bands produced on the X-ray plates were quantified with the software Image J (v1.4 Wayne Rasband, National Institute of Health, Kensington, MD, USA). Results were expressed as a percentage of the maximum protein level determined. A standard sample of each species was run on each blot and all samples are reported normalized to this standard. Protein abundance for each sample was then divided by the mean abundance of all analyzed samples for each protein and species to equalize the distribution for both proteins [82].

4.6. Transmission Electron Microscopy of Leaf Mesophyll

Fresh leaf samples were collected from fully expanded leaves of five C. quitensis and D. antarctica plants from each treatment after the gas exchange measurements. Leaf sections of 1 mm2 were fixed in 4% glutaraldehyde and post-fixed with 1% osmium tetroxide. Leaves were analyzed with a transmission electron microscope (TEM Jeol, JEM1200 EXII) at a voltage intensity of 60 kV. The photomicrographs were analyzed using Image J software. The number of mitochondria per microscope field and mitochondrial size (µm) from each sample were determined at 6000X and 11,500X for C. quitensis and D. antarctica, respectively.

4.7. Statistical Analyses

Analysis of variance (ANOVA) tests were used to assess statistical differences between the temperature and CO2 treatments. Most of the evaluated parameters were analyzed by two-way ANOVA using CO2 concentrations, nocturnal thermoperiods, and their interaction as factors. Additionally, for each factor, p values and the effect size of each factor were calculated (Table 1). Thermal acclimation differences (e.g., Acclimset-temp) were evaluated with a one-way ANOVA, using CO2 concentration as the factor. When the ANOVA showed significant differences (p < 0.05), a post hoc Fisher test was applied to evaluate differences between treatments. Before performing analyses, data were checked for normality and homogeneity of variances. Pearson correlation was used to assess the relation between mitochondrial number and size. All analyses were performed with InfoStat/L (FCA-UNC, Argentina, V 10.0).

5. Conclusions

In this study, C. quitensis and D. antarctica deployed different mechanisms when acclimated to future climate scenarios, including nocturnal warming and elevated CO2. Changes in photosynthesis and mitochondrial respiration at new growth conditions are important factors determining the foliar carbon balance in both Antarctic species. Any factor suppressing carbon uptake places the plant carbon balance at risk, which could affect growth and, consequently, survival. In this context, in the face of a future scenario involving increased CO2 levels accompanied by nocturnal warming, a lower capacity to maintain photosynthetic performance, and a low capacity of acclimate respiration could be detrimental for C. quitensis, while the ability of D. antarctica to maintain photosynthesis and mainly adjust its respiratory metabolism could allow this species to continue its successful colonization throughout the Antarctic Peninsula.

Author Contributions

Conceptualization, C.S. and D.A.W.; methodology, C.S., F.F. and D.C.; formal analysis, C.S. and D.C.; investigation C.S. and D.C.; resources, C.S., D.A.W. and P.L.S.; writing-review and editing, C.S., N.F.D.-S., L.B.-G., D.A.W., L.A.C., P.L.S. and L.A.B.; Supervision, D.A.W. and L.A.C.; project administration, C.S.; funding acquisition, C.S. and N.F.D.-S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by The National Fund for Scientific and Technological Development CONCYT/FONDECYT/Postdoctoral Grant N 3150221 and Fondecyt 1191118.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data are presented in the text.

Acknowledgments

The authors thank CONICYT-PIA Art 11-02 and The Chilean Antarctic Institute (INACH). Special thanks to the Arctowski Station crew and the Polish Academy of Science for their support during the work in field.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Net CO2 assimilation rate measured at saturating light and 400 ppm of CO2 (Asat), stomatal conductance (gs) and foliar leaf carbon balance (R/A) for C. quitensis (A,C,E) and D. antarctica (B,D,F). Treatments correspond to AC (ambient CO2, control thermoperiod; white bar empty), AW (ambient CO2, warming thermoperiod; white bar hashed), EC (elevated CO2, control thermoperiod; grey bar), and EW (elevated CO2, warming thermoperiod; grey bar hashed). Values are means ± SEM (n = 5). For each graph, the effect of thermoperiod (T), CO2 environment (CO2), and the interaction of thermoperiod and CO2 (T x CO2), ns indicates no significance difference, * indicates p ≤ 0.05, ** indicates p ≤ 0.01, and *** indicates p ≤ 0.001. The factor with the largest effect size is indicated in bold.
Figure 1. Net CO2 assimilation rate measured at saturating light and 400 ppm of CO2 (Asat), stomatal conductance (gs) and foliar leaf carbon balance (R/A) for C. quitensis (A,C,E) and D. antarctica (B,D,F). Treatments correspond to AC (ambient CO2, control thermoperiod; white bar empty), AW (ambient CO2, warming thermoperiod; white bar hashed), EC (elevated CO2, control thermoperiod; grey bar), and EW (elevated CO2, warming thermoperiod; grey bar hashed). Values are means ± SEM (n = 5). For each graph, the effect of thermoperiod (T), CO2 environment (CO2), and the interaction of thermoperiod and CO2 (T x CO2), ns indicates no significance difference, * indicates p ≤ 0.05, ** indicates p ≤ 0.01, and *** indicates p ≤ 0.001. The factor with the largest effect size is indicated in bold.
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Plants 11 01520 g002 550
Figure 2. Sensitivity parameters of dark respiration calculated using the Arrhenius equation for both Antarctic species. R10 is respiration at 10°C, E0 is a modelled parameter related to the energy of activation, and Q10 denotes the relative change in respiration with a 10°C change for C. quitensis (A,C,E) and D. antarctica (B,D,F). Treatments correspond to AC (ambient CO2, control thermoperiod; white bar empty), AW (ambient CO2, warming thermoperiod; white bar hashed), EC (elevated CO2, control thermoperiod; grey bar), and EW (elevated CO2, warming thermoperiod; grey bar hashed). The acclimation degree was calculated as Acclimset-temp = Rcontrol/Rwarming at ambient and elevated CO2 for C. quitensis (G) and D. antarctica (H). Values are means ± SEM (n = 5). For each graph, the effect of thermoperiod (T), CO2 environment (CO2), and the interaction of thermoperiod and CO2 (T x CO2), ns indicates no significance difference, * indicates p ≤ 0.05, ** indicates p ≤ 0.01, and *** indicates p ≤ 0.001. The factor with the largest effect size is indicated in bold.
Figure 2. Sensitivity parameters of dark respiration calculated using the Arrhenius equation for both Antarctic species. R10 is respiration at 10°C, E0 is a modelled parameter related to the energy of activation, and Q10 denotes the relative change in respiration with a 10°C change for C. quitensis (A,C,E) and D. antarctica (B,D,F). Treatments correspond to AC (ambient CO2, control thermoperiod; white bar empty), AW (ambient CO2, warming thermoperiod; white bar hashed), EC (elevated CO2, control thermoperiod; grey bar), and EW (elevated CO2, warming thermoperiod; grey bar hashed). The acclimation degree was calculated as Acclimset-temp = Rcontrol/Rwarming at ambient and elevated CO2 for C. quitensis (G) and D. antarctica (H). Values are means ± SEM (n = 5). For each graph, the effect of thermoperiod (T), CO2 environment (CO2), and the interaction of thermoperiod and CO2 (T x CO2), ns indicates no significance difference, * indicates p ≤ 0.05, ** indicates p ≤ 0.01, and *** indicates p ≤ 0.001. The factor with the largest effect size is indicated in bold.
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Plants 11 01520 g003 550
Figure 3. Total soluble sugars (TSS) and starch for C. quitensis (A,C) and D. antarctica (B,D). Treatments correspond to AC (ambient CO2, control thermoperiod; white bar empty), AW (ambient CO2, warming thermoperiod; white bar hashed), EC (elevated CO2, control thermoperiod; grey bar), and EW (elevated CO2, warming thermoperiod; grey bar hashed). Values are means ± SEM (n = 5). For each graph, the effect of thermoperiod (T), CO2 environment (CO2), and the interaction of thermoperiod and CO2 (T x CO2), with ns indicates no significance difference, * indicates p ≤ 0.05, ** indicates p ≤ 0.01, and *** indicates p ≤ 0.001. The factor with the largest effect size is indicated in bold.
Figure 3. Total soluble sugars (TSS) and starch for C. quitensis (A,C) and D. antarctica (B,D). Treatments correspond to AC (ambient CO2, control thermoperiod; white bar empty), AW (ambient CO2, warming thermoperiod; white bar hashed), EC (elevated CO2, control thermoperiod; grey bar), and EW (elevated CO2, warming thermoperiod; grey bar hashed). Values are means ± SEM (n = 5). For each graph, the effect of thermoperiod (T), CO2 environment (CO2), and the interaction of thermoperiod and CO2 (T x CO2), with ns indicates no significance difference, * indicates p ≤ 0.05, ** indicates p ≤ 0.01, and *** indicates p ≤ 0.001. The factor with the largest effect size is indicated in bold.
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Plants 11 01520 g004 550
Figure 4. Relative abundance of phosphoenol pyruvate carboxylase (PEPc) and cytochrome oxidase (COX-II) proteins for C. quitensis (A,C) and D. antarctica (B,D). Treatments correspond to AC (ambient CO2, control thermoperiod; white bar empty), AW (ambient CO2, warming thermoperiod; white bar hashed), EC (elevated CO2, control thermoperiod; grey bar), and EW (elevated CO2, warming thermoperiod; grey bar hashed). Values are means ± SEM (n = 5). For each graph, the effect of thermoperiod (T), CO2 environment (CO2), and the interaction of thermoperiod and CO2 (T x CO2), with ns indicates no significance difference, * indicates p ≤ 0.05, ** indicates p ≤ 0.01, and *** indicates p ≤ 0.001. The factor with the largest effect size is indicated in bold.
Figure 4. Relative abundance of phosphoenol pyruvate carboxylase (PEPc) and cytochrome oxidase (COX-II) proteins for C. quitensis (A,C) and D. antarctica (B,D). Treatments correspond to AC (ambient CO2, control thermoperiod; white bar empty), AW (ambient CO2, warming thermoperiod; white bar hashed), EC (elevated CO2, control thermoperiod; grey bar), and EW (elevated CO2, warming thermoperiod; grey bar hashed). Values are means ± SEM (n = 5). For each graph, the effect of thermoperiod (T), CO2 environment (CO2), and the interaction of thermoperiod and CO2 (T x CO2), with ns indicates no significance difference, * indicates p ≤ 0.05, ** indicates p ≤ 0.01, and *** indicates p ≤ 0.001. The factor with the largest effect size is indicated in bold.
Plants 11 01520 g004
Plants 11 01520 g005 550
Figure 5. Leaf mitochondria structural changes in number, and size of mitochondria in a determined area of 171.8 µm2 and their correlation for C. quitensis (A,C,E) and D. antarctica (B,D,F) grown at AC (ambient CO2, control thermoperiod; white bar empty), AW (ambient CO2, warming thermoperiod; white bar hashed), EC (elevated CO2, control thermoperiod; grey bar), and EW (elevated CO2, warming thermoperiod; grey bar hashed). Values are means ± SEM (n = 5). For each graph, the effect of thermoperiod (T), CO2 environment (CO2), and the interaction of thermoperiod and CO2 (T x CO2), with ns indicates no significance difference, * indicates p ≤ 0.05, ** indicates p ≤ 0.01, and *** indicates p ≤ 0.001. The factor with the largest effect size is indicated in bold.
Figure 5. Leaf mitochondria structural changes in number, and size of mitochondria in a determined area of 171.8 µm2 and their correlation for C. quitensis (A,C,E) and D. antarctica (B,D,F) grown at AC (ambient CO2, control thermoperiod; white bar empty), AW (ambient CO2, warming thermoperiod; white bar hashed), EC (elevated CO2, control thermoperiod; grey bar), and EW (elevated CO2, warming thermoperiod; grey bar hashed). Values are means ± SEM (n = 5). For each graph, the effect of thermoperiod (T), CO2 environment (CO2), and the interaction of thermoperiod and CO2 (T x CO2), with ns indicates no significance difference, * indicates p ≤ 0.05, ** indicates p ≤ 0.01, and *** indicates p ≤ 0.001. The factor with the largest effect size is indicated in bold.
Plants 11 01520 g005
Plants 11 01520 g006 550
Figure 6. Mitochondria (M; red arrows), chloroplasts (Chl), and starch granules (Sg) from leaf mesophyll of C. quitensis exposed to AC (ambient CO2, control thermoperiod; (A), AW (ambient CO2, warming thermoperiod; (B), EC (elevated CO2, control thermoperiod; (C), and EW (elevated CO2, warming thermoperiod; (D) Microscope magnification = 6000X.
Figure 6. Mitochondria (M; red arrows), chloroplasts (Chl), and starch granules (Sg) from leaf mesophyll of C. quitensis exposed to AC (ambient CO2, control thermoperiod; (A), AW (ambient CO2, warming thermoperiod; (B), EC (elevated CO2, control thermoperiod; (C), and EW (elevated CO2, warming thermoperiod; (D) Microscope magnification = 6000X.
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Plants 11 01520 g007 550
Figure 7. Mitochondria (M; red arrows), chloroplasts (Chl), and starch granules (Sg) from leaf mesophyll of D. antarctica exposed to AC (ambient CO2, control thermoperiod; (A), AW (ambient CO2, warming thermoperiod; (B), EC (elevated CO2, control thermoperiod; (C), and EW (elevated CO2, warming thermoperiod; (D). Microscope magnification = 11,500X.
Figure 7. Mitochondria (M; red arrows), chloroplasts (Chl), and starch granules (Sg) from leaf mesophyll of D. antarctica exposed to AC (ambient CO2, control thermoperiod; (A), AW (ambient CO2, warming thermoperiod; (B), EC (elevated CO2, control thermoperiod; (C), and EW (elevated CO2, warming thermoperiod; (D). Microscope magnification = 11,500X.
Plants 11 01520 g007
Table
Table 1. Results of two-way ANOVA and the size effects (η2; Eta squared) of each evaluated factor. The response variables were net CO2 assimilation at saturating light and 400 ppm of CO2 (Asat), stomatal conductance (gs), dark respiration at 10 °C (R10), activation energy of respiration (E0), thermal sensitivity of respiration (Q10), thermal acclimation of respiration (Acclimset-temp), foliar carbon balance (R/A), total soluble sugar concentrations (TSS), starch concentrations, phosphoenol-pyruvate carboxylase (PEPc) concentrations, cytochrome oxidase (COXII) concentrations, mitochondrial number, and mitochondrial size. Significant effects (p < 0.05) are indicated in bold. The η2 values were calculated from information in the ANOVA table as η2 = Treatment sum of square/ (treatment sum of square + total sum of squares).
Table 1. Results of two-way ANOVA and the size effects (η2; Eta squared) of each evaluated factor. The response variables were net CO2 assimilation at saturating light and 400 ppm of CO2 (Asat), stomatal conductance (gs), dark respiration at 10 °C (R10), activation energy of respiration (E0), thermal sensitivity of respiration (Q10), thermal acclimation of respiration (Acclimset-temp), foliar carbon balance (R/A), total soluble sugar concentrations (TSS), starch concentrations, phosphoenol-pyruvate carboxylase (PEPc) concentrations, cytochrome oxidase (COXII) concentrations, mitochondrial number, and mitochondrial size. Significant effects (p < 0.05) are indicated in bold. The η2 values were calculated from information in the ANOVA table as η2 = Treatment sum of square/ (treatment sum of square + total sum of squares).
C. quitensisp Valueη2
Response VariableTCO2T x CO2TCO2T x CO2
Asat0.30<0.0010.000.020.320.21
gs0.020.010.590.200.240.01
R100.600.220.060.010.070.16
E00.490.900.090.030.000.14
Q100.510.820.090.020.000.15
Acclimset-temp-0.14--0.20-
R/A0.02<0.001<0.0010.120.290.27
TSS0.790.960.410.000.000.04
Starch0.130.100.220.100.120.07
PEPc0.060.490.390.270.040.06
COXII0.090.160.690.160.110.01
Mit. Number0.580.820.240.020.000.09
Mit.Size0.090.780.050.140.000.18
D. antarcticap Valueη2
Response VariableTCO2T x CO2TCO2T x CO2
Asat0.960.860.220.000.000.11
gs0.230.990.480.080.000.03
R100.260.760.090.060.000.14
E00.170.020.080.070.190.11
Q100.210.040.100.060.160.11
Acclimset-temp 0.06 -0.27-
R/A0.040.750.980.240.010.00
TSS0.110.050.320.120.160.05
Starch0.010.670.620.260.010.01
PEPc0.79<0.001<0.0010.000.190.35
COXII<0.001<0.001<0.0010.170.200.32
Mit. Number0.000.320.480.320.030.02
Mit.Size<0.001<0.0010.060.410.240.00
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Sanhueza, C.; Cortes, D.; Way, D.A.; Fuentes, F.; Bascunan-Godoy, L.; Fernandez Del-Saz, N.; Sáez, P.L.; Bravo, L.A.; Cavieres, L.A. Respiratory and Photosynthetic Responses of Antarctic Vascular Plants Are Differentially Affected by CO2 Enrichment and Nocturnal Warming. Plants 2022, 11, 1520. https://0-doi-org.brum.beds.ac.uk/10.3390/plants11111520

AMA Style

Sanhueza C, Cortes D, Way DA, Fuentes F, Bascunan-Godoy L, Fernandez Del-Saz N, Sáez PL, Bravo LA, Cavieres LA. Respiratory and Photosynthetic Responses of Antarctic Vascular Plants Are Differentially Affected by CO2 Enrichment and Nocturnal Warming. Plants. 2022; 11(11):1520. https://0-doi-org.brum.beds.ac.uk/10.3390/plants11111520

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Sanhueza, Carolina, Daniela Cortes, Danielle A. Way, Francisca Fuentes, Luisa Bascunan-Godoy, Nestor Fernandez Del-Saz, Patricia L. Sáez, León A. Bravo, and Lohengrin A. Cavieres. 2022. "Respiratory and Photosynthetic Responses of Antarctic Vascular Plants Are Differentially Affected by CO2 Enrichment and Nocturnal Warming" Plants 11, no. 11: 1520. https://0-doi-org.brum.beds.ac.uk/10.3390/plants11111520

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