Hamada AbdElgawad1, Darin Peshev2, Gaurav Zinta3, Wim Van den Ende2, Ivan A Janssens4, Han Asard1. 1. Laboratory for Molecular Plant Physiology and Biotechnology, Department of Biology, University of Antwerp, Antwerp, Belgium. 2. Laboratory of Molecular Plant Biology, KU Leuven, Leuven, Belgium. 3. Laboratory for Molecular Plant Physiology and Biotechnology, Department of Biology, University of Antwerp, Antwerp, Belgium; Research Group of Plant and Vegetation Ecology, Department of Biology, University of Antwerp (Campus Drie Eiken), Wilrijk, Belgium. 4. Research Group of Plant and Vegetation Ecology, Department of Biology, University of Antwerp (Campus Drie Eiken), Wilrijk, Belgium.
Abstract
Elevated CO2 concentrations and extreme climate events, are two increasing components of the ongoing global climatic change factors, may alter plant chemical composition and thereby their economic and ecological characteristics, e.g. nutritional quality and decomposition rates. To investigate the impact of climate extremes on tissue quality, four temperate grassland species: the fructan accumulating grasses Lolium perenne, Poa pratensis, and the nitrogen (N) fixing legumes Medicago lupulina and Lotus corniculatus were subjected to water deficit at elevated temperature (+3°C), under ambient CO2 (392 ppm) and elevated CO2 (620 ppm). As a general observation, the effects of the climate extreme were larger and more ubiquitous in combination with elevated CO2. The imposed climate extreme increased non-structural carbohydrate and phenolics in all species, whereas it increased lignin in legumes and decreased tannins in grasses. However, there was no significant effect of climate extreme on structural carbohydrates, proteins, lipids and mineral contents and stoichiometric ratios. In combination with elevated CO2, climate extreme elicited larger increases in fructan and sucrose content in the grasses without affecting the total carbohydrate content, while it significantly increased total carbohydrates in legumes. The accumulation of carbohydrates in legumes was accompanied by higher activity of sucrose phosphate synthase, sucrose synthase and ADP-Glc pyrophosphorylase. In the legumes, elevated CO2 in combination with climate extreme reduced protein, phosphorus (P) and magnesium (Mg) contents and the total element:N ratio and it increased phenol, lignin, tannin, carbon (C), nitrogen (N) contents and C:N, C:P and N:P ratios. On the other hand, the tissue composition of the fructan accumulating grasses was not affected at this level, in line with recent views that fructans contribute to cellular homeostasis under stress. It is speculated that quality losses will be less prominent in grasses (fructan accumulators) than legumes under climate extreme and its combination with elevated CO2 conditions.
Elevaten class="Chemical">dn class="Chemical">CO2 concentrations and extreme climate events, are two increasing components of the ongoing global climaticchange factors, may alter plant chemical composition and thereby their economic and ecological characteristics, e.g. nutritional quality anddecomposition rates. To investigate the impact of climate extremes on tissue quality, four temperate grassland species: the fructan accumulating grasses Lolium perenne, Poa pratensis, and the nitrogen (N) fixing legumes Medicago lupulina andLotus corniculatus were subjected to waterdeficit at elevated temperature (+3°C), under ambient CO2 (392 ppm) and elevatedCO2 (620 ppm). As a general observation, the effects of the climate extreme were larger and more ubiquitous in combination with elevatedCO2. The imposedclimate extreme increased non-structural carbohydrate andphenolics in all species, whereas it increasedlignin in legumes anddecreasedtannins in grasses. However, there was no significant effect of climate extreme on structural carbohydrates, proteins, lipids and mineral contents and stoichiometric ratios. In combination with elevatedCO2, climate extreme elicited larger increases in fructan andsucrosecontent in the grasses without affecting the total carbohydratecontent, while it significantly increased total carbohydrates in legumes. The accumulation of carbohydrates in legumes was accompanied by higher activity of sucrose phosphate synthase, sucrose synthase andADP-Glc pyrophosphorylase. In the legumes, elevatedCO2 in combination with climate extreme reduced protein, phosphorus (P) andmagnesium (Mg) contents and the total element:N ratio and it increasedphenol, lignin, tannin, carbon (C), nitrogen (N) contents andC:N, C:P and N:P ratios. On the other hand, the tissue composition of the fructan accumulating grasses was not affected at this level, in line with recent views that fructanscontribute to cellular homeostasis under stress. It is speculated that quality losses will be less prominent in grasses (fructan accumulators) than legumes under climate extreme and its combination with elevatedCO2conditions.
Global n class="Chemical">climate change conditions often alter plant chemical composition, which in turn can affect food and fodder quality, anddecomposition rates [1]–[5]. These alterations in the chemical composition of plants grown under future climate will have significant impact on economical and ecological processes [1]–[5]. Therefore, it is pertinent to investigate the effects of climate change on plant chemical composition.
The antin class="Chemical">cipaten class="Chemical">d climate changes are predominately associated with the rise in the concentrations of CO2 and a gradual rise in the earth's temperature, but also include increased frequency and intensity of extreme events (e.g. drought, heat wave and floodings) [6]. Effects of elevatedCO2 in altering the chemical composition of plants have been extensively studied [7]–[12]. However, global climate change is characterized by the co-occurrence of co-varying environmental variables, which often affect plant chemical composition differently as when applied separately [4], [13], [14]. Up to our knowledge, studies illustrating the combined effect of elevatedCO2 andclimate extremes on the chemical composition of plants are scarce. An example of such a study is that of Larsen et al. [12] which indicated that single treatments of drought and elevatedCO2 resulted in significantly increasedC:N ratios, while ratios remained unchanged when drought and elevatedCO2 were combined.
n class="Chemical">Drought stress ann class="Chemical">d high temperature are important environmental factors, which restrict plant growth and alter tissue chemical composition [14], [15]. When applied separately, temperature [15] anddrought [15] have been shown to alter the chemical composition of plants. Moreover, some studies have revealed that there is a significant interaction between drought and temperature in their effects on plant chemical composition [14], [12]. In this context, drought and elevated temperature altered the chemical composition by affecting carbohydrateconcentrations. For example, under drought conditions, alfalfa accumulated starch, but lowered soluble sugarsduring vegetative growth [15]. Severe drought and elevated temperature significantly reduced the accumulation of free amino acids and soluble proteins in Leymus chinensis
[14]. However, in future, higher temperatures and more frequent droughts will occur against a background of elevatedCO2, and very little is known about the combined effects of climate extremes under elevatedCO2.
The antin class="Chemical">cipaten class="Chemical">d changes in chemical composition are likely to alter tissue quality anddecomposition rate. For example, elevatedCO2caused a reduction in forage quality through a lower crude protein content in different C3 andC4 plant species [16], and in combination with high temperature, reduceddigestibility by enhancing fiber content in Medicago sativa
[4]. Other CO2-induced tissue quality changes include an increasedC/N ratio in soybean [17], andtannin accumulation in Lotus corniculatus
[18]. The decreased tissue digestibility anddecomposition rate associated with tannin accumulation is related to their ability to form digestion-resistant compounds with proteins as well as to direct inhibitory effects on microbial activity [5], [19], [20]. Altered stoichiometric ratios could affect the release of organic matter from decomposing materials by influencing the decomposers function [21]. On the other hand, elevatedCO2 is likely to increase the tissue quality of fructan accumulating species via further increases in fructan and non-structural carbohydratecontents [22], [24]. In addition to their roles in plant stress tolerance, fructans are now widely recognized as fermentable food fibers and acknowledged for their health and immunomodulatory effects [25], [26]. Inulin-type fructans promote element resorption [27] andcontrol insulin, cholesterol, triacylglycerol andphospholipid levels in animals andhumans [28], [29]. Hence, to get a global overview on the tissue composition it is important to understand the metabolism under future climate conditions and to test the above mentioned metabolites to better assess the nutritional quality, digestibility anddecomposability of plants. For this reason, we conducted a study in which we exposed plants to climate extreme under current and elevatedCO2, and monitored the changes in a wide range of elements and metabolites.
Unn class="Chemical">derstann class="Chemical">ding changes in plant chemical composition in response to global change is further complicated because effects are species dependent. This is clear from the variation in response to elevatedCO2 at the carbohydrate level (see above), but species responses also differ for other tissue quality parameters. Legumes had lower C:N, higher C:P, and higher N:P ratios than non-legumes when grown under elevatedCO2
[30], related to their N fixing ability, more easily matching enhancedC assimilation [31], [32]. Barbehenn et al. [33] indicated that C3 grasses would have higher nutritional quality than C4 grasses under elevated [CO2], based on higher levels of proteins andfructans. Polyphenols were significantly increased in Lolium perennecompared to Medicago lupulina under climate extreme conditions [34]. It therefore appears worth to pay closer attention to compare climate effects on the chemical composition of different plant groups.
Grasslann class="Chemical">ds n class="Chemical">cover 15% of the European land area and are important food sources for livestock [35], [36]. They are also an important component in the global C balance, by storing approximately one third of the terrestrial C stock. Changes in grassland growth and productivity resulting from changing climate conditions are therefore likely to have considerable impact on ecology and food resources. Thus, it is important to investigate the grassland species responses to climate changes.
Basen class="Chemical">d onpan> this knowledge, we here test the hypotheses that, 1) a climate extreme (waterdeficit under elevated temperature) affects the chemical composition of common temperate grassland species, which are important food sources for livestock, 2) that this effect is altered under elevatedCO2, and 3) that these chemical changes differ among plant species and species groups. Specifically, we compared four grassland species, two fructan accumulating grasses and two non-fructan accumulating legumes.
Materials and Methods
Experimental set-up and plant harvest
Experimental set-up
A meson class="Chemical">cosm experiment was conducted at the Drie Eiken Campus of Antwerp University, Belgium (51o 09′ N, 04o 24′ E, 10 m elevation). Seed of each species was sown in a non-climate controlled greenhouse andwatered twice a week. After five weeks, seedlings of four temperate grassland species, two fructan accumulating grasses (Lolium perenne L., Poa pratensis L.) and two N-fixing legumes (Medicago lupulina L., Lotus corniculatus L.), were transplanted in 16 sunlit, south facing, climate controlledchambers (1). The interior surface area of each chamber was 1.5×1.5 m, height at the north side was 1.5 m and at the south side 1.2 m. The top of chambers consisted of a 4-mm thick colorless polycarbonate plate, whereas the sides were made of a 200-μm thick polyethylene film, both UV transparent. For each climate treatment four chambers were used and each chamber contained two populations (9 individuals with 5 cm interspace between them) of each species (Figure S1), grown in PVC tubes (19 cm diameter, 40 cm height) with sandy soil (96% sand, [37]. At the end, results of the two populations of each species, from the same chamber, were averaged yielding four biological replicates per climate treatment (i.e. n = 4). The climate scenarios ‘current’ and ‘future climate' were chosen according to the IPCC-SRES B2-scenario prediction of moderate change for the year 2100 [38]. In the past, numerous studies of CO2-only have already been conducted. Our experimental facilities included 16-growth chambers, of which only four chambers were equipped with CO2-control. Because the growth chamber was the unit of replication in this study, having a CO2-only treatment would have reduced the degree of replication to n = 2 or n = 3, with dramatic loss of statistical power. Instead of the typical orthogonal design, which would have allowed us to test the imposed of CO2-only, we therefore opted for an incremental design, focusing on the impact of drought stress: no drought, drought only, drought in a warmer climate, anddrought in a warmer climate and higher CO2climate. The detailedclimate conditions in these four treatments were; 1) current climate, with ambient temperature andCO2concentration (392±42 ppm) and sufficient water supply (Ambient, A); 2) drought stress in a current climate (D); 3) a climate extreme treatment, i.e. drought stress in a warmer climate (Tair +3°C); and, 4) a climate extreme (drought at elevated T) treatment combined with elevatedCO2 (Tair+3.02±0.82°C) (DTC); CO2 (615±81 ppm). Treatment D was omitted from this study, for two reasons. First, significant differences between D andDTconditions were very few. Second, the paper becomes unnecessarily complex because the significance levels of the difference between the D and A treatment were often different from those between the DT and A treatments.
The n class="Chemical">CO2 n class="Chemical">concentrations were monitored and maintained at the target concentration with a CO2 analyser (WMA-4, PP Systems, Hitchin, UK). The air temperature was monitored by a Siemens, type QFA66 sensor (Berlin, Germany). The temperature in current climate chambers followed the average daily air temperature course calculated for the period from 1996 to 2005. The temperature in the future climate treatments followed the same course but elevated by 3°C. Photosynthetic active radiation (PAR) was measured by a SDEC, type JYP1000 quantum sensor (SDEC, Reignac sur Indre, France). Microclimate parameters inside and outside each chamber were automatically logged every 30 min [39]. The average vapour pressure deficit was 0.35±0.02 and 0.46±0.02 kPa (SD) in the climate treatments with ambient and warmed air temperature, respectively. Irrigation was calculated from the monthly rainfall over the period 1995–2005 andcorrected for differences in evapotranspiration (ET) inside and outside the chambers De Boeck et al. [40].
n class="Chemical">Drought was inpan>duced by withdrawing irrigation at 122 days after sowing for different periods of time. Plants were harvested for analysis when 50% of the drought-exposed population showedclear signs of stress: i.e. leaf discoloration, wilting anddehydration. This occurred after one week for M. lupulina andL. corniculatus, two weeks for L. perenne and three weeks for P. pratensis. These differences in the timing of stress occurrence mirroreddeclines of photosynthesis rate and stomatal conductance (see Figure S2). Harvesting of the above ground tissue of nine plants in each population was done by cutting plants 4 cm above the soil surface, rapid freezing in liquidnitrogen and storage at −80°C. For each species, the biochemical results of both populations per chamber were averaged yielding four replicates (chambers) per climate treatment.
Metabolite Measurements
Carbohydrates
Small soluble n class="Chemical">sugars were n class="Chemical">determined in 0.2 g (FW) plant material, ground in liquidnitrogen (MagNALyser, Roche, Vilvoorde, Belgium) and extracted in 1 ml of 50 mM TAE buffer pH 7.5 (0.02% sodium azide, 10 mM mannitol, 0.1% polyclar, 10 mM NaHSO3, 1 mM mercapto-ethanol, 1 mM phenylmethanesulfonylfluoride (PMSF)). The extract was centrifuged (14,000 g, 4°C, 5 min), 150 μl was heated for 5 min in a water bath at 90°C. After cooling andcentrifugation (14,000 g, 4°C, 5 min), the supernatant was added to a mixed bedDowex column (300 μl Dowex H+, 300 μl Dowex Ac–; both 100–200 mesh; Acros Organics, Morris Plains, NJ, USA). The column was eluted six times with 150 μl of ddH2O. Glucose, fructose, sucrose andraffinoseconcentrations were measured by HPAEC-PAD as before [41]. In legumes (M. lupulina andL. corniculatus), total soluble sugars was calculated as a sum of the measured individual soluble sugars, whereas total fructan was also added in the case of grasses (L. perenne andP. pratensis). Total fructan levels andfructan patterns were generated as described [42].
The remaining pellet of soluble n class="Chemical">sugars extraction was treated with a mixture of α-amylase and amyloglucosidase to extract starch (100 U/ml, 1 h, 45°C, [43]. Sugarconcentrations in the total soluble andstarch extracts was estimated by the anthrone reagent method. Cellulose was extracted from 0.2 g DW plant material, by boiling in 100°Cnitric acid/acetic acid (1∶8, v/v, 1 h) to remove lignin, hemicellulose andxylosans after successive centrifugations at 14,000 for 15 min, anddilution with 67% H2SO4 (v/v). Cellulose was determined at 620 nm using the anthrone reagent.
Soluble and total protein
Frozen plant material (0.2 g FW) was homogenizen class="Chemical">d by MagNALyser inpan> 2 n class="Species">ml of cold 0.05 M K-phosphate buffer (pH 7.0) andcentrifuged (14,000 g, 4°C, 20 min). The supernatant was treated with 10% (w/v) TCA to precipitate soluble protein, which were redissolved in 1 N NaOH. The remaining pellet was used to measure insoluble proteins. It was successively washed with 80% ethanol (v/v), 10% (w/v) coldTCA, ethanol:chloroform (3∶1, v/v), ethanol:ether (3∶1, v/v), andether to remove phenoliccompounds. The washed pellet was re-dissolved in 1 N NaOH at 80°C for 1 h and soluble and insoluble protein content was estimated [44]. Total protein content was calculated by adding the contents of soluble and insoluble proteins.
Lignin, polyphenols and tannin
For n class="Chemical">lignin n class="Chemical">determination, 0.1 g DW plant material was homogenized (MagNALyser) with 2 ml 95% ethanol andcentrifuged (14,000 g, 4°C, 3 min). The pellet was washed with different organic solvents at high temperatures, then 1 ml of 25% acetyl bromide in acetic acid (1∶3, v/v) was added to the pellet and incubated at 70°C for 30 min. After cooling, 0.2 ml of 2 M NaOH and 0.1 ml of 7.5 M hydroxylamine hydrochloride were added, and the volume was made up to 10 ml with acetic acid. After centrifugation (1,000 g, 5 min), the absorbance was measured at 280 nm [45]. Polyphenols were extracted in 2 ml 80% ethanol (v/v) (0.2 g DW, MagNALyser) anddetermined with gallic acid as the standard [46]. Tannincontent was determined [47] by homogenizing (MagNALyser) 0.2 g FW tissue in 2 ml 0.1 M acetate buffer pH 5, containing 2 mg of bovine serum albumin, incubated for 15 min at room temperature andcentrifuged (14,000 g, 4°C, 15 min). The pellet was dissolved in 4 ml a 1% (w/v) SDS and 5% (v/v) tri-ethanolamine solution. One ml of 10 mM FeCl3 in 0.01 N HCl was added and the absorbance determined at 510 nm. Tannic acid was used as the standard.
C, N, macro-minerals and trace elements
n class="Chemical">C ann class="Chemical">d N contents were measured with a CN element analyser (NC-2100, Carlo Erba Instruments, Milan, Italy). For Macro-minerals and trace elements, 100 mgDW plant material was digested in a 5∶1 ratio of HNO3/H2O in a microwave oven anddetermined by mass spectrometry (ICP-MS, Finnigan Element XR, Scientific, Bremen, Germany). A mixture of standards was prepared in 1% nitric acid.
Enzyme activity measurements
Carbohydrate metabolism enzymes
Neutral ann class="Chemical">d soluble acid invertases were extracted in five volumes of the same ice-coldTAE extraction buffer (pH 7.5) as used for the small soluble sugar analysis (see above) and then centrifuged at 14,000 g, 15 min at 4°C. The pellet was washed three times with ice-cold 50 mM Na-acetate buffer, pH 5.0 and redissolved in this buffer. Aliquots of this suspension were subsequently used for cell wall activity determinations under continuous shaking at 30°C (500 rpm; Thermomixer®, eppendorf) to keep the walls in suspension. The supernatant was split in two parts and used for the determinations of soluble acid and neutral invertase activities, respectively. After precipitation by 80% saturated(NH4)2SO4, (incubation on ice for 30 min, centrifugation at 14 000 g, 4°C, 5 min), the pellets were washed three times with 800 μl of 80% (NH4)2SO4-saturated in TAE buffer pH 8.5 (neutral invertases) andNa-acetate buffer, pH 5.0 (soluble acid invertases). Finally, pellets were dissolved in 150 μl 50 mM Na-acetate buffer, pH 5.0 (soluble acid invertase and in TAE buffer pH 8.5 (neutral invertases). Invertase activity was determined in 100 μl reaction mixtures containing 100 mM sucrose in TAE buffer pH 8.5 or Na-acetate buffer pH 5.0 containing 0.02% (w/v) Na-azide. Reaction mixtures were incubated at 30°C, and the reactions were stopped by keeping an aliquot for 5 min in a water bath at 90°C. Fructoseconcentrations were measured as described above.
n class="Chemical">Sucrose phosphate synpan>thase ann class="Chemical">d sucrose synthase were extracted (MagNALyser) from 0.2 g fresh plant material in 1 mlHEPES buffer (100 mM HEPES pH 8.2, 10 mM EDTA, 15 mM KCl, 5 mM MgCl2, 2 mM sodium diethyl dithiocarbamate, 5 mM β-mercaptoethanol, 1% PPV). After centrifugation (14,000 g, 4°C, 15 min) the supernatant was cleaned [48]. Sucrose synthase activity was measured [49] by measuring the reduction of NAD+ at 340 nm, in a reaction mixture containing 100 mM bicineKOH buffer (pH 8.5, 100 mM sucrose, 2 mM UDP, 0.025 U UDP-glucosedehydrogenase, 1.5 mM NAD+). Sucrose phosphate synthase was measured in 1 ml of HEPES buffer (20 mM HEPES, pH 8.2, 2.2 mM UDP- glucose, 4.4 mM fructose-6-phosphate, 1 mM MgCl2, 2 mM NaF) at 37°C for 15 min, and stopped by adding 30% NaOH and 10 min boiling. Sucroseconcentrations were determined with the anthrone reagent, as described above.
n class="Chemical">ADP-Gn class="Species">lc pyrophosphorylase was extracted (MagNALyser) from 0.2 g FW plant samples [50]. After centrifugation (14,000 g, 4°C, 5 min), the supernatant was mixed with 80 mM HEPES buffer (pH 7.4, 10 mM MgCl2, 1 mM ADP-glucose, 0.6 mM NAD+, 10 μM glucose-1,6- phosphate, 2,3 mM DTT, 0.02% BSA, 1 U phosphoglucomutase, 2.5 U NAD-linkedglucose-6-phosphate dehydrogenase), and the activity measured as the NAD+ reduction at 340 nm and 30°C.
Phenol and lignin biosynthesis enzymes
PAL was extran class="Chemical">cten class="Chemical">d from 0.2 g (FW) frozen plant material in 1 mlsodium borate buffer (200 mM, pH 8.8, Koukol andConn, 1961), and assayed by measuring the absorbance of trans-cinnamic acid at 290 nm. For the cinnamyl alcohol dehydrogenase activity analysis, 5 g (FW) tissue was extracted in 10 mlTris:HCl buffer (200 mM Tris, pH 7.5), the activity was measured by monitoring the production of cinnamyl aldehyde at 400 nm [51].
Statistical analysis
The data were analyzen class="Chemical">d by procedure of the Statistical Analysis System (SPSS Inc., Chicago, IL, USA). The assumptions of normality of distribution and homogeneity of variance were examined. Since both assumptions were met, transformations were not necessary and analysis of variance (ANOVA) was done on the original data. The impact of climate treatments: no drought, drought in a warmer climate, anddrought in a warmer climate and higher CO2climate was tested by one-way ANOVA procedure. Number of replicates (chambers) for each climate treatment was four (n = 4). The significant differences between the means were determined by using the Duncan test (P<0.05). Multiple testing corrections were carried out by using Benjamini and Hochberg false discovery rate (FDR). The relationships between treatment variables were analyzed by using Pearson correlation.
Results
Carbohydrate metabolism
The n class="Chemical">differenpan>ce in fructan andstarch accumulation between the grasses and legumes is clear (Figure 1E and H), as well as the strongly differing cell wall and neutral invertase activities (Figure 2B andD). In all four species, the total soluble sugar and non-structural carbohydratescontent significantly increased under climate extreme conditions (DT) (Figure 1A and G). This increase was also often reflected in the contents of individual soluble sugars, glucose, fructose, sucrose, raffinose and total fructan (Figure1 B, C, D, E and F). As compared to the two legumes, fructans were detected only in the two grasses and were further accumulated by climate extreme conditions. There was generally no effect of the climate extreme on the accumulation of starch (Figure 1H), cellulose (Figure 1I) and total structural carbohydrates (Figure 1J).
Figure 1
Effect of climate extreme conditions in ambient and elevated CO2 on carbohydrate fractions.
Climate conditions: ambient (A), drought and warming (DT), drought and warming in elevated CO2. Grassland species: Lolium perenne (Lp), Poa pratensis (Pp), Medicago lupulina (Ml) and Lotus corniculatus (Lc). The different panels show, Total soluble sugar (A), Glucose (B), Fructose (C), Sucrose (D), Raffinose (E), Total fructan (F), Non structural carbohydrate (G), Starch (H), Cellulose (I) and Structural carbohydrate (J). Different letters in the graph represent significant differences between A, DT and DTC at p<0.05 (n = 4).
Figure 2
Effect of climate extreme conditions in ambient and elevated CO2 on carbohydrate metabolism enzyme activities.
Climate conditions: ambient (A), drought and warming (DT), drought and warming in elevated CO2. Grassland species: Lolium perenne (Lp), Poa pratensis (Pp), Medicago lupulina (Ml) and Lotus corniculatus (Lc). The different panels show Sucrose phosphate synthase (A), Neutral invertase (B) Soluble acid invertase (C), Cell wall invertase (D), Sucrose synthase (E) and ADPG pyrophosphorylase (F). Different letters in the graph represent significant differences between A, DT and DTC at p<0.05 (n = 4).
Effect of climate extreme conditions in ambient and elevated CO2 on carbohydrate fractions.
n class="Chemical">Climate n class="Chemical">conditions: ambient (A), drought and warming (DT), drought and warming in elevatedCO2. Grassland species: Lolium perenne (Lp), Poa pratensis (Pp), Medicago lupulina (Ml) andLotus corniculatus (Lc). The different panels show, Total soluble sugar (A), Glucose (B), Fructose (C), Sucrose (D), Raffinose (E), Total fructan (F), Non structural carbohydrate (G), Starch (H), Cellulose (I) and Structural carbohydrate (J). Different letters in the graph represent significant differences between A, DT andDTC at p<0.05 (n = 4).
Effect of climate extreme conditions in ambient and elevated CO2 on carbohydrate metabolism enzyme activities.
n class="Chemical">Climate n class="Chemical">conditions: ambient (A), drought and warming (DT), drought and warming in elevatedCO2. Grassland species: Lolium perenne (Lp), Poa pratensis (Pp), Medicago lupulina (Ml) andLotus corniculatus (Lc). The different panels show Sucrose phosphate synthase (A), Neutral invertase (B) Soluble acid invertase (C), Cell wall invertase (D), Sucrose synthase (E) andADPG pyrophosphorylase (F). Different letters in the graph represent significant differences between A, DT andDTC at p<0.05 (n = 4).
Elevaten class="Chemical">d n class="Chemical">CO2 (DTC) magnified the climate-mediated induction of the sucrose andfructancontents andcounteracted the increase of hexoses in the grasses, without significantly changing the total soluble sugarcontent. On the other hand, elevated [CO2] further increased all carbohydrates levels in the two legumes (Figure 1). A species-specific pattern was also observed at the level of the total structural and non-structural carbohydratecontent, and at the starch andcellulose levels; i.e. as compared to climate extreme, elevatedCO2did not affect, or even slightly decreased, these carbohydrates in L. perenne andP. pratensis, but significantly increased their levels in M. lupulina andL. corniculatus.
Sucrose phosphate synpan>thase, different types of invertases, sucrose synthase andADP-Glc pyrophosphorylase are key enzymes in sucrose andstarch metabolism. Sucrose phosphate synthase mediates the synthesis of sucrose-6-phosphate [52], whereas sucrose synthase and invertases are involved in sucrosedegradation [53], affecting subsequent starch synthesis via ADP-Glc pyrophosphorylase [54]. The climate extreme conditions haddifferent effects on these enzymes. Sucrose phosphate synthase activity (Figure 2A) was induced by drought and elevated temperature (DT) in all species. However, these conditions had little effect on invertase activity, i.e. neutral-, acid soluble invertase and acidcell wall-invertases (Figure 2B, C andD respectively) in either species. Similarly, no clear changes in sucrose synthase andADP-Glc pyrophosphorylase activity were observed in either species under the climate extreme (Figure 2E, F).As was observen class="Chemical">d at the level of the soluble n class="Chemical">sugar concentrations, elevated [CO2] reduced the effect of the climate extreme on sucrose phosphate synthase in the grasses. However, the opposite was observed in the legumes where elevatedCO2 resulted in increased soluble sugar levels andsucrose phosphate synthase activities. At the invertase level, increasedCO2did not alter the impact of the climate extreme, except in the legumes, where the activity of the neutral invertase andcell wall invertases strongly decreased as compared to the DTcondition. By contrast, sucrose synthase andADP-Glc pyrophosphorylase activities were induced in the legumes by 36 and 34% and by 92 and 60% in M. lupulina andL. corniculatus respectively, under the combined treatment of climate extreme and elevatedCO2.
Constituents affecting plant nutritional quality and decomposition rate
The n class="Chemical">climate extreme genpan>erally han class="Chemical">d no or little effect on the total protein andlipidcontents (Figure 3A and B). The treatment significantly increased the polyphenolcontent in all species except L. corniculatus (Figure 3C). Lignin, an indigestible polymer, showed no significant changes under the climate conditions in both grass species, whereas higher lignincontents were observed in the legumes (Figure 3D). Tannins are commonly found metabolites that possess anti-nutritional and anti-feed properties [5]. Tanninsdid not change in both legume species, but markedly decreased in the two grasses as a result of the drought and warming (44 and 39%, respectively) (Figure 3E).
Figure 3
Effect of climate extreme conditions in ambient and elevated CO2 on metabolite classes.
Climate conditions: ambient (A), drought and warming (DT), drought and warming in elevated CO2. Grassland species: Lolium perenne (Lp), Poa pratensis (Pp), Medicago lupulina (Ml) and Lotus corniculatus (Lc). The different panels show Protein (A), Lipid (B), Lignin (C), Polyphenols (D) and Tannins (E). Different letters in the graph represent significant differences between A, DT and DTC at p<0.05 (n = 4).
Effect of climate extreme conditions in ambient and elevated CO2 on metabolite classes.
n class="Chemical">Climate n class="Chemical">conditions: ambient (A), drought and warming (DT), drought and warming in elevatedCO2. Grassland species: Lolium perenne (Lp), Poa pratensis (Pp), Medicago lupulina (Ml) andLotus corniculatus (Lc). The different panels show Protein (A), Lipid (B), Lignin (C), Polyphenols (D) andTannins (E). Different letters in the graph represent significant differences between A, DT andDTC at p<0.05 (n = 4).
Inn class="Chemical">creasinpan>g the n class="Chemical">CO2 concentration affected the response to drought and warming of some of measured tissue quality parameters. ElevatedCO2did not alter the lipid or lignincontent in any of the species, but it significantly reduced the total protein content in the legumes (Figure 3A). Similarly, elevatedCO2did not alter the climate extreme-response of the polyphenols andtannins in the grasses, while it significantly increased the tannins in the legumes.
To better unn class="Chemical">derstann class="Chemical">d the mechanism underlying the changes in polyphenol andlignins, we measured phenylalanine ammonia lyase andcinnamyl alcohol dehydrogenase, the key enzymes in their respective biosynthetic pathways. Phenylalanine ammonia lyase activity increased slightly by the climate extreme treatment in most species, and strongest in L. corniculatus (Figure 4A). Activity of cinnamyl alcohol dehydrogenase increased only in the legumes (Figure 4B). Elevation of CO2 levels in the drought and warming treatment (DTC) generally did not significantly alter phenylalanine ammonia lyase andcinnamyl alcohol dehydrogenase activities, with the exception of an increase in the activity of cinnamyl alcohol dehydrogenase in L. corniculatus.
Figure 4
Effect of climate extreme conditions in ambient and elevated CO2 on polyphenol metabolism enzyme activities.
Climate conditions: ambient (A), drought and warming (DT), drought and warming in elevated CO2. Grassland species: Lolium perenne (Lp), Poa pratensis (Pp), Medicago lupulina (Ml) and Lotus corniculatus (Lc). The different panels show Phenylalanine ammonia-lyase (A) and Cinnamyl alcohol dehydrogenase (B). Different letters in the graph represent significant differences between A, DT and DTC at p<0.05 (n = 4).
Effect of climate extreme conditions in ambient and elevated CO2 on polyphenol metabolism enzyme activities.
n class="Chemical">Climate n class="Chemical">conditions: ambient (A), drought and warming (DT), drought and warming in elevatedCO2. Grassland species: Lolium perenne (Lp), Poa pratensis (Pp), Medicago lupulina (Ml) andLotus corniculatus (Lc). The different panels show Phenylalanine ammonia-lyase (A) andCinnamyl alcohol dehydrogenase (B). Different letters in the graph represent significant differences between A, DT andDTC at p<0.05 (n = 4).
Net rates of nutrient release n class="Chemical">durinpan>g plant n class="Chemical">decomposition are strongly related to their initial concentration and stoichiometry [55]. We found that there was no significant effect of the climate extreme on the concentrations of macronutrients (N, C, P, Ca, Mg, Na and K) or trace elements (Cu and Mn) in all four-plant species (Figure 5 A, B, C, D, E and F). The climate extreme also did not significantly affect aboveground plant stoichiometry in either species (Figure 6).
Figure 5
Effect of climate extreme conditions in ambient and elevated CO2 on macronutrients and trace elements.
Climate conditions: ambient (A), drought and warming (DT), drought and warming in elevated CO2. Grassland species: Lolium perenne (Lp), Poa pratensis (Pp), Medicago lupulina (Ml) and Lotus corniculatus (Lc). The different panels show C (A), N (B), P (C), Mg (D), Na (E), Ca (F), K (G) and Mn (H). Different letters in the graph represent significant differences between A, DT and DTC at p<0.05.
Figure 6
Effect of climate extreme conditions in ambient and elevated CO2 on stoichiometric ratios.
Climate conditions: ambient (A), drought and warming (DT), drought and warming in elevated CO2. Grassland species: Lolium perenne (Lp), Poa pratensis (Pp), Medicago lupulina (Ml) and Lotus corniculatus (Lc). The different panels show C:N ratio (A), C:P ratio (B), N:P ratio (C), Element: P ratio (D) and Lignin: N ratio (E). Different letters in the graph represent significant differences between A, DT and DTC at p<0.05 (n = 4).
Effect of climate extreme conditions in ambient and elevated CO2 on macronutrients and trace elements.
n class="Chemical">Climate n class="Chemical">conditions: ambient (A), drought and warming (DT), drought and warming in elevatedCO2. Grassland species: Lolium perenne (Lp), Poa pratensis (Pp), Medicago lupulina (Ml) andLotus corniculatus (Lc). The different panels show C (A), N (B), P (C), Mg (D), Na (E), Ca (F), K (G) and Mn (H). Different letters in the graph represent significant differences between A, DT andDTC at p<0.05.
Effect of climate extreme conditions in ambient and elevated CO2 on stoichiometric ratios.
n class="Chemical">Climate n class="Chemical">conditions: ambient (A), drought and warming (DT), drought and warming in elevatedCO2. Grassland species: Lolium perenne (Lp), Poa pratensis (Pp), Medicago lupulina (Ml) andLotus corniculatus (Lc). The different panels show C:N ratio (A), C:P ratio (B), N:P ratio (C), Element: P ratio (D) andLignin: N ratio (E). Different letters in the graph represent significant differences between A, DT andDTC at p<0.05 (n = 4).
Elevaten class="Chemical">d n class="Chemical">CO2 in combination with climate extreme (DTC) increased the content of C and N anddecreased the concentrations of P andMg in the legumes (Figure 5 A, B, C andD), relative to those in the extreme only (DT) treatment. Importantly, these decreases in P andMgconcentrations were not significant in the grasses. ElevatedCO2 only affected element ratios in the legumes, but not in the grasses. The legumes showed significant increases in C:N andC:P ratios through the increasedCconcentration (Figure. 6A, B). The increased N:P ratio in legumes may in part be explained by increases in N content, but also results from a decreased P content (Figure. 5A). Also the total element:N ratio was reduced significantly by elevatedCO2 in the two legumes (Figure 6D).
Are changes in enzyme activities and metabolites correlated?
To unravel the importance of the enpan>zymes inpan> controlling the respective carbohydrate metabolite levels, a correlation analysis was performed. There was a statistically significant, positive correlation between the change in sucrose phosphate synthase activity and the change in the sucrosecontent (Table 1, r = 0.872, p<0.05). We also found a positive correlation between sucrose synthase activity andstarchcontent (Table 1, r = 0.549, p<0.05). Oppositely, there was no correlation between the invertases activities and the change in sucrosecontent. There was also a positive correlation between ADP-Glc pyrophosphorylase activity andstarch levels (Table 1, r = 0.739, p<0.05). Consistent with the absence of variation in the starchcontents in both grasses, no effects of climate extreme and elevatedCO2conditions on ADP-Glc pyrophosphorylase activity was observed.
Table 1
Correlations among various variables of four studied grassland species.
Parameters
Cellulose
SUS
Sucrose
SPS
NI
AI
CWI
Starch
AGPASE
Total SS
Fructan
Protein
Lipid
Phenols
PAL
Lignin
CAD
SUS
0.874**
Sucrose
0.072
0.260
SPS
1.000**
0.874**
0.872**
NI
−0.068
−0.014
−0.070
−0.068
AI
0.018
−0.095
−0.299
0.018
−0.417
CWI
−0.107
−0.257
−0.334
−0.107
−0.699**
0.668**
Starch
0.122
0.549*
0.781**
0.122
0.143
−0.364
−0.559*
AGPASE
0.259
−0.053
0.024
0.259
−0.706**
0.194
0.471
0.739**
Total SS
0.004
−0.115
−0.026
0.004
−0.913**
0.473
0.802**
−0.304
0.740**
Fructan
0.167
0.430
0.891**
0.167
0.096
−0.319
−0.531*
0.958**
−0.243
−0.245
Protein
0.487
0.182
−0.307
0.487
−0.155
−0.015
0.159
−0.368
0.537*
0.170
−0.528
Lipid
0.099
0.286
0.654**
0.099
0.500*
−0.611*
−0.802**
0.794**
−0.414
−0.689**
0.798**
−0.188
Phenols
0.021
−0.032
0.059
0.021
−0.626
0.402
0.713**
−0.140
0.415
−0.085
0.609*
0.072
−0.324
PAL
−0.134
0.079
0.564*
−0.134
−0.210
−0.080
0.153
0.541*
−0.155
0.074
0.559*
−0.177
0.390
0.525*
Lignin
0.078
0.166
0.641**
0.078
−0.578
−0.055
0.267
0.413
0.367
0.455
0.466
−0.061
0.172
0.638**
0.620*
CAD
0.236
0.223
0.326
0.236
−0.089
−0.062
0.022
0.079
0.142
0.100
0.202
0.099
0.072
−0.270
0.075
0.347
Tannin
0.180
−0.079
−0.385
0.180
−0.283
−0.072
0.176
−0.526*
0.551*
0.325
−0.554*
0.205
−0.429
0.032
−0.645**
0.023
−0.207
**Correlation is significant at P<0.01 (2-tailed).
*Correlation is significant at P<0.05 level (2-tailed).
SUS = Sucrose synthase, SPS = Sucrose phosphate synthase, NI = Neutral invertase, AI = Acid invertase, CWI = Cell wall invertase, AGPASE = ADP-Glu pyrophosphorylase, Total SS = Total soluble sugar, PAL = Phenylalanine ammonialyase, CAD = Cinnamyl alcohol dehydrogenase.
**n class="Chemical">Correlation is signifin class="Chemical">cant at P<0.01 (2-tailed).
*n class="Chemical">Correlation is signifin class="Chemical">cant at P<0.05 level (2-tailed).
SUS = Sucrose synpan>thase, SPS = Sucrose phosphate synthase, NI = Neutral invertase, AI = Acid invertase, CWI = Cell wall invertase, AGPASE = ADP-Glu pyrophosphorylase, Total SS = Total soluble sugar, PAL = Phenylalanine ammonialyase, CAD = Cinnamyl alcohol dehydrogenase.At the level of other metabolites and enpan>zymes, we founpan>d a significant correlation between phenylalanine ammonia lyase activity and the phenoliccontent (Table 1, r = 0.525, p<0.05). However, despite the observation that increases in the lignincontent in the two legume species were accompanied by higher cinnamyl alcohol dehydrogenase activity in climate extreme conditions, there was no strong correlation between lignincontent and the enzyme activity (Table 1, r = 0.347, p<0.05).We also observen class="Chemical">d n class="Chemical">correlations between changes in metabolite levels. There was a negative correlation (Table 1, r = −0.528, p<0.05) across all species, between the non-structural carbohydrate and the protein content. This was particularly apparent in the legumes and suggests C being reallocated from proteins to sugars. Also, there was a strong correlation between accumulation of sucrose, soluble sugar and non-structural carbohydrate and the accumulation of polyphenols andtannins (Table 1, r = 0.822, 0.705 and 0.609 respectively, p<0.05).
Discussion
Climate extreme conditions affect plant chemical composition
To evaluate n class="Chemical">changes inpan> grasslann class="Chemical">d food properties, we analysed the carbohydrate, lipid, protein and element composition of four grassland species (L. perenne, P. pratensis, M. lupulina andL. corniculatus) subjected to a climate extreme, waterdeficit combined with elevated temperature (+3°C), under ambient and elevatedCO2. In climate extreme conditions all plants accumulated more soluble sugars andpolyphenols. In addition, the legumes also had increasedlignincontent and the grasses showeddecreasedtannin levels. These results are consistent with previous observations, such as increases in soluble sugars in Phaseolus vulgaris leaves under temperature stress [56], and increases in tannin, polyphenols andlignin as a result of drought and/or high temperature stress in Lotus, Lolium andMedicago
[15], [34], [57], [58]. A reduction in tannincontents was also observed under drought stress in L. corniculatus leaves [18].
The n class="Chemical">climate extreme n class="Chemical">conditions did not affect insoluble sugars, proteins, lipids and minerals, or plant (element) stoichiometric ratios. Similarly, little or no significant changes in total protein, mineral or starch were reported under drought stress in Lolium perenne andTobacco plant [59], [60]. This is in contrast to results reported by others, in which waterdeficit stress inducedchanges in these parameters. For example, high temperature anddrought, or their combination, increasedstarchcontent in M. sativa
[15], anddecreased protein andlipidcontents in Leymus chinensis andsoybean [1], [14]. The variations in responses at the plant composition level may be attributed to variation in the magnitude of the stress conditions, as well as to different plant species.
The an class="Chemical">ccumulation of soluble sugars andpolyphenols, in adverse climate conditions, are probably examples of adaptive protection strategies [61], [62]. Polyphenolsconstitute a large group of diverse molecules, implemented in ROSdetoxification and in the protection of the photosynthetic apparatus [63], [64]. Higher amounts of soluble sugars provide more substrate for other defense responses [65]. However, these changes in chemical composition not only enhance plant protection, they will likely also affect the nutritional value anddigestibility of these species [2], [3]. Accumulation of polyphenols (toxiccompounds) andlignin (indigestible fiber) decreased plant quality in economic point of view [66], [67], [68]. Polyphenolscan also retard microbial and enzymaticdecomposition by forming resistant compounds or by inhibiting microbial activity [20], [69]. The stress-induced increase in polyphenols is probably explained by parallel increases in phenylalanine ammonia lyase activity, a key enzyme in polyphenol biosynthesis [61] (e.g. Table 1).
Elevated CO2 alters the climate extreme impact
With the conpan>tinpan>ued rise in atmosphericCO2, the effect of climate extremes is best evaluated against an elevatedCO2 background. In L. perenne, P. pratensis, M. lupulina andL. corniculatus, elevatedCO2 in climate extreme conditions enhanced several aspects of the carbohydrate and secondary metabolite metabolism. In the legumes, significant increases in the soluble sugar, starch, cellulose, structural carbohydrate, polyphenol andtannincontents were observed. On the other hand, in the grasses, combination of elevatedCO2 with climate extremes increasedsucrose andfructancontents and reduced hexoses.Inn class="Chemical">creases inpan> structural and non-structural carbohydratesdue to CO2 enrichment have been reported, and may be explained by higher carbohydrate assimilation rates [70], [71], [72]. The carbohydrate accumulation in legumes was accompanied by increased activities of sucrose phosphate synthase andADP-Glc pyrophosphorylase (Figure 2) as was also previously observed in Phaseolus leaves [56]. Interestingly, it appears a switch occurred in cytosolicsucrosecatabolism from neutral invertase to sucrose synthase in the legumes, but not in the grasses (Figure. 2). Increasedsucrose synthase activities are also linked to increasedstarch synthesis, although the underlying mechanisms require further exploration [73], [74]. L. perenne andP. pratensis are fructan-accumulating grasses, and elevatedCO2 has previously been observed to allocate to fructans in fructan accumulators [24], [75].
At the level of sen class="Chemical">conpan>n class="Chemical">dary metabolites, there is a notable increase in tannin andlignincontent, under stress in elevatedCO2conditions in the legumes. Similar observations have been attributed to increasedshikimate metabolism in high C availability [76], [77]. The accumulation of tannins in legumes can retarddecomposition [20], [23], [68].
Frequently observen class="Chemical">d changes in tissue chemistry, induced by changing climate conditions e.g., elevatedCO2 and/or drought and temperature, include decreases in protein content [7], [8], [14]. In our experiment, elevatedCO2 in climate extreme reduced protein level mostly in the legumes (Figure. 3). A decrease in tissue protein content lowers its nutritive quality [68], [78]. Given the increases in carbohydrates, it appears that the part of the tissue C is reallocated from proteins to carbohydrates under elevatedCO2 in the legumes. Importantly, fructan-accumulating grasses did not show such decreased protein levels under elevatedCO2. It can be speculated that these species keep their C fluxes towards fructans andpolyphenols (as stress tolerance contributors) and proteins (economic importance), while they are diverting none (or less) extra C to cellulose, other structural carbohydrates, lignins andtannins.
Overall, strong n class="Chemical">correlationpan>s were observen class="Chemical">d between accumulation of sucrose, total soluble sugar and non-structural carbohydrate and the accumulation of polyphenols. It is well-known that sucrose specific signalling mechanisms trigger polyphenol synthesis pathways [26], [79]. In Arabidopsis, soluble sugars, anthocyanins andproline typically increase together under water-deficit stress [79], and in chicory, exogenous sucrose feeding leads to the combined increase in polyphenols andfructans [80]. In addition to their direct ROS scavenging effects, fructans are recently proposed as (secondary) stress signals stimulating innate immunity responses, in plants and animals [26], [80]. Both fructans andpolyphenols, such as anthocyanins, might play roles both in abiotic and biotic stress responses [81].
Inn class="Chemical">creasinpan>g n class="Chemical">CO2 under climate extreme did not affect the element composition in the grasses, but several elements, most prominently C and N increased, and P andMgdecreased, in the legumes (Figure. 5). In general, reductions in P andMg in legumes could lower their food quality for herbivores [82], [83]. As a result of the changes in P, also the C:P and N:P ratios change considerably in the legumes. ElevatedCO2 has often been observed to decrease nutrient concentrations of plant tissues [84]. These stress andclimate-induced stoichiometry changes are therefore likely to affect food nutritional quality anddecomposition [82], [83], [85], [21].
Unn class="Chemical">der n class="Chemical">combination of elevatedCO2concentration with drought or temperature, plants typically show increased tissue Cconcentrations [24], [86], with correspondingly reducedconcentrations of other elements, including N [87], and several trace elements [85]. In agreement [30], we also found that elevatedCO2 in climate extreme increasedC:P and N:P ratios in legumes only. The increase in C:P ratio (e.g. Figure 6B, is not only explained by elevatedC accumulation, but also by a lower P content. The lignin:N ratio is another factor that could affect decomposition rates [88], but this parameter did not change considerably in extreme climate conditions.
Climate extreme and elevated CO2 effects are species-group specific
Plant responses to n class="Chemical">climate change is complicated by significant ‘species x climate’ interactions and show species-group specific responses. For example, plant functional types differed in their stoichiometric ratios under elevatedCO2
[30]. Also, fructan accumulating grasses showed higher tissue quality than non-fructan accumulators and showed increase in proteins andfructans levels under elevatedCO2
[33]. Accumulation of fructancontent in species, improve their protein utilization by livestock [89] anddigestibility by ruminants [29], [33]. For this reason we estimated responses of different species to climate change conditions.
Grasses ann class="Chemical">d legumes responpan>n class="Chemical">deddifferently to extreme climate conditions and elevatedCO2 in various tissue composition parameters. At the level of carbohydrate metabolism, soluble sugar levels were stress-induced in all species. However, fructan levels were only increased in the grasses. Moreover, elevatedCO2 also affectedsugar metabolism differentially between legumes and grasses, with a noteworthy shift in sugar metabolism in the legumes, where non-structural and structural carbohydrates were increased. At least parts of these differences relate to the N-fixing potential, supporting more and higher C sinks [90]. Consistently, interactive effects of elevatedCO2 and plant species on starch andsugarconcentrations were observed in previous study [91].
Also other tissue n class="Chemical">compositionpan> parameters were affecteddifferently between these species groups, in particular at elevatedCO2. For example, in contrast to the grasses, protein, P andMg levels decreased, andpolyphenol, tannin andlignin levels increased in the legumes under climate extreme and elevatedCO2. Moreover, in legumes element's stoichiometry were affected (C:N, C:P, N:P and element:N). As legume are N-fixing species, high N and low P content resulted in a high N:P ratio compared to grasses. This increase was also observed in previous studies [30], [91].
Togn class="Chemical">ether, these finpan>n class="Chemical">dings suggest that future climate elevatedCO2, combined with climate extreme conditions, may reduce tissue digestibility and quality of legume species. It also appears that the fructan accumulating grasses preserved their tissue quality (protein, macro and micronutrients) better under stress and elevatedCO2, partially at the expense of the deposition of cell wall materials. This observation fits with reports that fructan accumulating plants such as chicory behave well under stress [92], but show a growth lag phase possibly related to slower deposition of new cell wall materials [93], [94]. It can be speculated that fructan accumulators invest more in defense responses during early developmental stages, even in the absence of stress. This is consistent with the strongly increasedcell wall invertase activities in fructan accumulators (Figure 2D). Increasedcell wall invertase activities are typically associated with stress responses [95] and tolerant genotypes maintain higher cell wall invertase activities, even in the absence of stress [96]. Cell wall invertases are emerging as important regulators of apoplastic sugar homeostasis [97] associated with alteredsugar signaling events andC partitioning [79], [26], [96].
Conclusions and perspectives
The effen class="Chemical">ct of n class="Chemical">climate extreme treatment (waterdeficit at elevated background temperature) was more pronounced at elevatedCO2, in particular in legumes. Interactions between elevatedCO2 andclimate extremes were observed in many cases, where elevatedCO2 amplified or reduced the impact of the climate extreme. The results also support the importance of the variation in responses among species groups. Growth of legumes under extreme climate and elevatedCO2conditions resulted in large compositional changes, while minor changes in tissue chemistry of the fructan-accumulating grasses were observed. This suggests that quality losses may be more prominent in non-fructan accumulators. Further research is needed to the roles of fructans as antioxidants and putative (stress) signals affecting C partitioning. For this purpose, metabolite pools in fructan-accumulating transgeniccrops and wild-type crops should be rigorously compared under stress and/or elevatedCO2conditions.
Experimental design. Design of the 16 climate-controlledchambers (A) and internal arrangement of pots in chamber 1 (B).(EPS)n class="Chemical">Clin class="Chemical">ck here for additional data file.
Effen class="Chemical">ct of n class="Chemical">climate extreme on photosynthesis and stomatal conductance. Climate conditions: ambient (A), drought and warming (DT), drought and warming in elevatedCO2] Grassland species: Lolium perenne (Lp), Poa pratensis (Pp), Medicago lupulina (Ml) andLotus corniculatus (Lc). The different panels show photosynthesis (A) and stomatal conductance (B) after 0,1,2 and 3 weeks of drought stress.
(EPS)n class="Chemical">Clin class="Chemical">ck here for additional data file.
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