In the future, periods of strongly increased temperature in concert with drought (heat waves) will have potentially detrimental effects on trees and forests in Central Europe. Norway spruce might be at risk in the future climate of Central Europe. However, Douglas-fir is often discussed as an alternative for the drought and heat sensitive Norway spruce, because some provenances are considered to be well adapted to drier and warmer conditions. In this study, we identified the physiological and growth responses of seedlings from two different Douglas-fir provenances to increased temperature and atmospheric drought during a period of 92 days. We analysed (i) plant biomass, (ii) carbon stable isotope composition as an indicator for time integrated intrinsic water use efficiency, (iii) apparent respiratory carbon isotope fractionation as well as (iv) the profile of polar low molecular metabolites. Plant biomass was only slightly affected by increased temperatures and atmospheric drought but the more negative apparent respiratory fractionation indicated a temperature-dependent decrease in the commitment of substrate to the tricarboxylic acid cycle. The metabolite profile revealed that the simulated heat wave induced a switch in stress protecting compounds from proline to polyols. We conclude that metabolic acclimation successfully contributes to maintain functioning and physiological activity in seedlings of both Douglas-fir provenances under conditions that are expected during heat waves (i.e. elevated temperatures and atmospheric drought). Douglas-fir might be a potentially important tree species for forestry in Central Europe under changing climatic conditions.
Citation: Jansen K, Du B, Kayler Z, Siegwolf R, Ensminger I, Rennenberg H, et al. (2014) Douglas-Fir Seedlings Exhibit Metabolic Responses to Increased Temperature and Atmospheric Drought. PLoS ONE9(12): e114165. https://doi.org/10.1371/journal.pone.0114165
Editor: Wei Wang, Henan Agricultural Univerisity, China
Received: August 6, 2014; Accepted: November 5, 2014; Published: December 1, 2014
Copyright: © 2014 Jansen et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper and its Supporting Information files.
Funding: The authors acknowledge financial support by the Deutsche Forschungsgemeinschaft (DFG) under contract numbers GE1090/7-1 to AG, KR 2010/4-1 to JK, and EN829/5-1 to IE. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Global climate change is expected to affect forest growth and productivity , . The projected increase in air temperature is the most direct and best predictable effect of increasing tropospheric CO2 concentrations . In addition to a continuous increase in air temperature, the frequency of climate extremes, including heat waves, has been predicted to strongly increase , –. Tree growth and physiological performance will depend on both the acclimation to increased temperatures and the resistance against extreme events such as the hot-dry summer 2003 in Central Europe . Our insights into the adaptation and acclimation potential of tree species towards climatic change are still incomplete and especially the effects of heat waves i.e. periods of increased temperature in concert with drought – on the physiology of trees are not well understood, e.g., .
Compared to deciduous tree species, evergreen species show a weak growth increase  or no growth response to constant, yet, moderate temperature increases . In Douglas-fir, the 2003 drought and heat wave showed diverging effects on radial growth ranging from no response at moist sites to significant decreases at dry sites in Germany and Switzerland , . A species' response to increased temperature depends on its thermal optimum for photosynthesis and growth, and its current operation either at or below the optimum . Rising temperatures may stimulate assimilation, physiological performance, and growth below the thermal optimum, but may lead to reduced performance above species- or provenance-specific thresholds , .
Changes in temperature might not only affect photosynthesis and thus carbon supply for growth but also sink activity  and, as an underlying mechanism, the allocation of assimilated C to different metabolic pathways . Shifts in the commitment of metabolic pathways can be detected by changes in the apparent respiratory carbon isotope fractionation . Leaf respired CO2 is generally 13C-enriched compared to the putative respiratory substrate –, mainly due to fragmentation of the substrate molecule (fragmentation fractionation) ,  and potentially due to enzyme related isotope effects , . During glycolysis, the C-1 of pyruvate derived from 13C-enriched C-3 and C-4 of glucose is decarboxylated by pyruvate dehydrogenase (PDH) and, consequently, the PDH reaction releases 13C-enriched CO2 . The remaining part of the pyruvate molecule can enter the tricarboxylic acid (TCA) cycle during which relatively depleted CO2 is released. Alternatively, the remaining part of pyruvate might be used for the production of acetogenic lipids and various secondary metabolites cf. . Assuming that the whole pyruvate molecule were oxidised in the TCA cycle, the δ13C of CO2 released from respiration would equal that of the glucose substrate. The more pyruvate that is committed to metabolic pathways other than the TCA cycle, the higher the contribution of the PDH-released 13C enriched CO2 to the total respiratory CO2 emission, and the more negative the apparent respiratory fractionation.
Moreover, metabolite profiling provides information about the accumulation of precursors of secondary metabolites or stress related compounds . For instance, proline accumulation is associated with various environmental stresses see, e.g., , , but can also be toxic to cells –, especially under heat stress . Alternative osmolytes such as polyols ,  might be crucial for maintaining leaf turgor under conditions of drought and high temperatures. Especially the polyol D-pinitol is known to be present in large amounts in conifers e.g.  and might play an important role in osmotic adjustment in these plants. Moreover, heat stress is known to generally upregulate metabolites related to the shikimate pathway , which is related to the synthesis of cell wall components, lignin, aromatic amino acids, phenylpropanoids and flavonoids, and is also closely linked with carbohydrate metabolism .
In Central Europe, Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) is often discussed as a potential alternative for the economically important Norway spruce (Picea abies (L.) Karst.), the performance of which could be seriously threatened by climate change . Douglas-fir is a remarkably productive species with a high economic potential and it is assumed to display a comparably high resistance against drought and heat , . Within an extended natural range, Douglas-fir populations grow under various climatic conditions and these different environmental drivers may act as selective force on the genetic and physiological growth response of different provenances , . For instance, our current understanding of water relations in Douglas-fir seedlings suggests that populations from regions with relatively cool winters and arid summers are potentially best adapted to warm and dry conditions . With climate change, future summer temperatures in Central Europe will probably more frequently exceed the thermal optimum for photosynthesis in Douglas-fir (10–20°C) , . Heat waves will be most likely accompanied by reduced precipitation and high water vapour pressure deficit (VPD) resulting in atmospheric drought . This calls for a better understanding of the interactive impact of heat and atmospheric drought on Douglas-fir physiology and growth in order to inform forest managers about the potential of this species. One issue that is of major importance is the impact of heat and drought on tree seedlings as they represent the future of a forest stand and there are indications that the acclimation to environmental stresses strongly depends on ontogeny  and that seedlings are more intensively affected by environmental stressors compared to adult individuals .
The aim of this study was to identify seedling physiological and growth responses of Douglas-fir from two different provenances to a simulated heat wave accompanied by atmospheric drought. We examined the two provenances Monte Creek (MC) and Pend Oreille (PO), originating from the menziesii-glauca transition zone in southern interior British Columbia and the glauca zone in Northwest Washington State, respectively (Table 1) [cf. 47–50]. These provenances are originating from the rather dry part of the natural range of Douglas-fir, in comparison to the coastal areas of Washington and British Columbia. The summer air temperatures are comparable for the two provenances, however, the MC provenance region receives only approx. half the amount of rainfall compared to the PO region and thus individuals from the MC provenance might be better adapted to heat accompanied by atmospheric drought.
To examine effects of heat waves on physiology and growth of Douglas-fir, seedlings were grown under high temperature (control +10°C) combined with high vapour pressure deficit (control +1.6 kPa) as well as under control conditions (20°C and 0.35 kPa) for more than three months (Table S1). The 2003 heat wave showed whole July temperature anomalies (compared to 2001) of up to +10°C for large areas of Central Europe  indicating the realistic temperature range of our treatment. We analysed plant biomass, carbon stable isotope composition as an indicator for time integrated intrinsic water use efficiency (IWUE = assimilation/stomatal conductance) , apparent respiratory fractionation in order to assess temperature-dependent changes in the commitment of substrate to the TCA cycle , , as well as the profile of polar low molecular metabolites.
We hypothesize that (1) the increased temperature together with atmospheric drought (i.e. elevated VPD) will reveal metabolic plasticity where precursors are fed into alternative metabolic pathways resulting in altered metabolite profiles. We further assume (2) that heat and atmospheric drought during three months lead to reduced biomass production and changes in biomass allocation patterns. Finally we hypothesize (3) that the MC provenance is less affected by the combined heat and atmospheric drought impact as a consequence of its potential adaptation to the lower water availability at the area of origin.
Materials and Methods
Plant material and growing conditions
We did not perform field work but worked with seedlings under controlled conditions in climate chambers. The study did not involve endangered or protected species. Douglas-fir seedlings were obtained from forest tree nurseries (Nursery Services Interior, Vernon, Canada and Webster Forest Nursery, Olympia, WS, USA) and no specific permission was required for buying the seedlings. Import to Germany and growing plants under quarantine regulations was permitted by the Regierungspräsidium Freiburg; Pflanzengesundheitsdienst, Freiburg, Germany.
Three to four years old seedlings of the Douglas-fir provenances Monte Creek (MC) and Pend Oreille (PO) (see Table 1) were grown in environmental chambers in 4 L pots with substrate consisting of commercial potting soil (1 part Anzucht- und Pikiererde, Ökohum, Herbertingen, Germany; 1 part perlite; 1 part sand). The substrate was supplied with long-term fertilizer (Osmocote Exact high-end 5–6, 15N+9P+12K+2Mg, 3 g L−1 substrate, The Scotts Company, LLC, Marysville, OH, USA/ICL, Tel Aviv, Israel). The chambers were illuminated by sodium-vapour lamps (NC 1000-00/-01/-62, Narva, Plauen, Germany, with 6, 8 and 10–11% red light, respectively).
Over a period of 78 days, plants were stepwise acclimatized to control conditions (Table S1). The following treatment phase covered 92 days and started after full leaf development. The aim of this approach was to simulate a heat wave comparable to the one in Europe in 2003, which occurred in mid summer after foliage had been fully developed. During the first 10 days of acclimation, the temperature was raised from 10/10°C (light/dark period) to 20/15°C. Plants in the treatment group were exposed to 25/20°C for three days before the 30/25°C treatment started. Coniferous needle leaves are strongly coupled to the environment , resulting in leaf temperature equalling air temperature. During the acclimation period, the photoperiod was extended from 12 h to 16 h and the light intensity was raised from 250 to 600 µmol m−2 s−1 PPFD to be above the light saturation point of Douglas-fir .
During the treatment phase, VPD was held at 0.35 kPa (in the light period) in the control and 1.91 kPa in the treatment, the latter assumed to represent atmospheric drought. In both groups, soil water content was kept at optimum levels (approx. at field capacity). During the time of experimentation, the plants had three needle age classes developed at the beginning of the current year 2010 (N10), in the previous year (N09), and in the year 2008 (N08).
Climate data for the region of origin from the two provenances examined was obtained with the software ClimateWNA by downscaling PRISM monthly data  for the reference period (1961–1990), and calculating seasonal and annual climate variables for the specific locations based on latitude, longitude, and elevation (Table 1) as described in . For the MC provenance, the geographic location as provided by the seedling supplier (Nursery Services Interior, Vernon, BC, Canada) was used as input parameter. The PO provenance originates from the seed zone Pend Oreille described by . A grid of geographic locations within the seed zone was used as input for ClimateWNA and the resulting multiple climate data were averaged. Annual precipitation sum (mm), mean summer precipitation sum (mm) and mean annual temperature (°C) in the PO zone of origin are around 374 mm, 48 mm and is 1.26°C higher than in the MC zone of origin (Table 1).
Experimental design and biomass sampling
We conducted repetitive sampling during a period of 92 days after treatment start (DAT), including measurements during a diel course and a complete harvest of the plants at the end of the experimental period. On DAT 1 and 41 we sampled current-year needles of 20 plants (N = 5) for carbon isotope analysis. We conducted a full diel course on DAT 64 with 12 plants (N = 3) and six sampling time points (four during the light and two during the dark period) to study the carbon isotopic composition of respired CO2 and of potential organic sources for respiration, as well as respiration rates. At each time point (2, 6, 10, 14, 18, and 22 h±2 h), we sampled current-year needles, fine roots, and respired CO2 from canopy chambers (see below). Needle and root samples were taken from separate plants to avoid interferences with the CO2 samples. At the end of the experimental period, from day 76 to 92 after treatment start, 36 plants were completely harvested for biomass, isotope and metabolite analyses, and separated into needles (subdivided into 3 age classes), twigs, stems (subdivided into bark and wood), fine and coarse roots, and measured for fresh weight. Subsamples were dried at 105°C for 24 h for assessing dry weight while the rest of the samples was immediately frozen in liquid nitrogen and stored in −80°C until further analyses.
Stable isotope analyses of organic matter and CO2
δ13C in organic matter was determined in the water soluble fraction (WSOM; water soluble organic matter) of needles according to , . 250 µl of the extracts were dried under vacuum and stored in a desiccator. The isotopic composition of WSOM is an excellent proxy for sugars and thus recent assimilates . In addition, δ13C was determined in the total organic matter fraction (bulk) of several plant compartments, i.e. in the dried and homogenised plant material.
For δ13C analysis, approx. 0.3 mg of the dried homogenised total organic matter samples and the dried WSOM extracts samples were combusted in an Flash HT elemental analyzer (ThermoFinnigan, Bremen, Germany) coupled via a Conflo III interface to an isotope ratio mass spectrometer (Delta V Advantage, ThermoFisher, Bremen, Germany). Carbon isotopic values were expressed in δ notation relative to the Vienna Pee Dee Belemnite (VPDB). The precision for measurements as determined by repeated measurements of standards (n = 10) was better than 0.10 ‰.
For the assessment of δ13C in canopy respired CO2 (δ13CR), we installed Perspex respiration chambers around the upper part of the canopy (5.39 L volume, custom-made production, Herbert Geißler GmbH & Co. KG, Freudenberg, Germany) according to . The chambers enclosed the needles and twigs from the approx. upper half of the crown and were supplied with interior fans to ensure mixing of air, sealed with an inert plastic material (Terostat VII, Henkel Teroson GmbH, Heidelberg, Germany), completely darkened with aluminium tape to prevent photosynthesis, and provided with air-tight septa to allow gas sampling with hypodermic needles and syringes. The gas samples were taken 0, 1, 5, 12 and 20 min after closing the chambers and subsequently transferred into pre-evacuated exetainers (12 ml, Labco Ltd, High Wycombe, UK). The chambers were removed directly after each sampling phase.
Gas samples were analysed for δ13C and [CO2] in an isotope ratio mass spectrometer (Delta V Advantage, ThermoFisher, Bremen, Germany) coupled to a gas bench as described by . δ13CR was determined with mixing models using the Keeling plot approach ,  and the Miller-Tans approach . The [CO2] range can impact the outcome of mixing models . In our case, both approaches resulted in very similar results and we thus applied an average for δ13CR. Respiration rates were calculated from the linear increase in CO2 concentration over time and based on the total leaf, twig, and stem area. Apparent respiratory fractionation (aΔR) was calculated as the difference between δ13C of current-year needle WSOM and δ13C of respired CO2 according to .
Analysis of metabolites by gas chromatography–mass spectrometry (GC-MS)
Polar low-molecular-weight metabolites were extracted from N09 and N10 needles and derivatised according to a modified method from  and . For each sample, approximately 50 mg of homogenized frozen tissue powder was weighed into a pre-frozen 2 mL round-bottom Eppendorf tube and 500 µL of cold 85% (v/v) methanol (Sigma) were added as extraction medium. 1 µg ml−1 ribitol was used as internal standard. Tubes were rapidly heated to 65°C and shaken at 1,400 RPM for 15 min after brief vortex. 50 µL aliquots of supernatant were dried under vacuum in 1.5 ml microfuge tubes after centrifugation. Dried extracts were methoximated by adding 20 µL of a 20 mg mL−1 solution of methoxyamine hydrochloride in anhydrous pyridine (Sigma) and incubated at 30°C for 90 min with shaking at 1400 RPM. For trimethylsilylation, 70 µL of N-methyl-N- (trimethylsilyl) trifluoroacetamide (MSTFA; Sigma) was transferred to each tube and incubated at 37°C for 30 min with 1,400 RPM shaking. 10 µL of an n-alkane retention index calibration mixture [n-Alkane- Mix 16 (C10-C40 even), Cat.-No.:14640, concentration: 50 µg ml−1 in n-hexane; Neochema, Germany] was then added to each sample. After short vortex, reaction mixtures were centrifuged at 14,000 g, 20°C for 2 min and then 80 µL of supernatant were transferred to amber GC-MS vials with low volume inserts and screw top seals (Agilent Technologies, Palo Alto, CA, USA) for GC-MS analysis.
Derivatised metabolite samples were analysed on an Agilent GC/MSD system comprised of an Agilent GC 7890A gas chromatograph (Agilent Technologies, Palo Alto, CA, USA) fitted with a GERSTEL MultiPurpose Sampler (MPS2-XL, GERSTEL, Mülheim, Germany) and 5975C Inert XL EI/CI MSD quadrupole MS detector (Agilent Technologies, Palo Alto, CA, USA). The capillary column used was HP-5MS 5% Phenyl Methyl Silox, length: 30 m, diameter: 0.25 mm, film thickness: 0.25 µm (Agilent Technologies, Palo Alto, CA, USA). GC-MS run conditions were set up according to  with some slight adaptations. The GC column oven was held at the initial temperature of 80°C for 2 min and then to 325°C at 5°C min−1 before being held at 325°C for 10 min. Total run time was 61 min. Transfer line temperature was 280°C. MS source temperature was 230°C.
The raw data files were processed with the free AMDIS (automated mass spectral deconvolution and identification system, version 2.69) software supplied by NIST (National Institute of Standards and Technology, Gaithersburg, MD, USA). Mass spectra were searched against a user-defined metabolite database based on the Golm Metabolome Database  and identified based on retention index and spectrum similarity match. A relative quantification of metabolite peaks was done by calculating the areas of the extracted ion chromatograms. The area value for each metabolite was standardised by sample weight, then normalized for the area measured for the internal ribitol standard, and corrected for blank values where only solvents and derivatisation reagents were measured. Metabolites detected in less than 50% of all the replicates of each provenance and needle age class were discarded for the comparison between treatments and controls. Treatment specific differences of the corrected and normalised areas are given as log ratios of treatments vs controls.
All measured parameters were characterized by descriptive statistics (means and standard deviations of the means). Statistical analyses were carried out with R 3.0.2 (R Development Core Team 2013). Normality of residuals was tested with the Shapiro-Wilk test and was rejected when p-values were smaller than 0.1. Homogeneity of variances was tested with the Fligner-Killeen test on grouped data and rejected when p-values were smaller than 0.05. A 2-way analysis of variance was conducted to assess the effects of provenance, treatment and their interactions. In case of non-normality of residuals, ANOVA was performed on ranks. In case of interacting effects in the 2-way ANOVA, a 1-way ANOVA was conducted for single parameters in order to determine effects separately. Tukey's post-hoc was used following the ANOVA analysis for multiple comparisons among the groups.
Treatment-specific effects on the dry weight of Douglas-fir seedlings were only observed for needles of the oldest age class N08 (Figure S1A). The biomass of these needles decreased significantly under high temperature and VPD. All other needle age classes and tissues as well as total biomass were not significantly affected by high temperature and atmospheric drought treatment.
There was no significant temperature effect on the ratio between above- and below-ground biomass, indicating that above- to below-ground biomass allocation was not affected by the treatment (Figure S1B). However, the ratio between fine-root and coarse-root biomass was significantly decreased, whereas the ratio between current-year needles and fine roots was increased.
Carbon isotope composition of plant organic matter
In both provenances and in both treatments, δ13C in WSOM of current-year needles (N10) decreased during the treatment period by up to 1.9‰ for MC and 2.0‰ for PO (Figure 1). δ13C in WSOM of all analysed needle age classes was significantly affected by provenance at the end of the treatment period (p<0.005 for N10) with lower values for PO. The heat and high VPD treatment did not affect δ13C of WSOM in the three needle age classes (Figure 1). Significant effects of high temperature and VPD on δ13C were found only in fine root WSOM of PO (Figure 1). Bulk total organic matter δ13C in coarse roots and bark were also not affected by treatment,
Asterisks indicate significant differences between treatments C and T (Tukey test, *** for p<0.001, ** p<0.01, * p<0.05). Data shown are mean values ± SD (N = 3 (64 DAT) – 10 (76DAT)). Numbers 1, 41, 64, 76 in the x-axis caption indicate the time point of harvest after the onset of the experiment.
Respiration rate and apparent respiratory fractionation
We determined canopy dark respiration rate and the difference between δ13C of WSOM and CO2 (apparent respiratory fractionation; aΔR) during a diel course. There was no indication of a significant increase in aΔR during the light period (data not shown), revealing the absence of light enhanced dark respiration , . There was also no significant difference between dark respiration in the light and the dark phase, and therefore we calculated a daily average of the values (Figure 2).
The fractionation is based on the difference of δ13C measured in water soluble organic matter of needles and δ13C in canopy respired CO2 as average during a diel course. Data shown are mean values ± SE (N = 3). Significance levels are given for differences between treatments as revealed by Student's t-test (* p<0.05). The controls (20°C, 0.35 kPa) are indicated by white circles and the temperature/atmospheric drought treatment T (30°C, 1.91 kPa) by grey circles.
Respiration rates did not differ significantly between treatment and control for both provenances and they did not show provenance-specific differences. In contrast, in both provenances aΔR decreased significantly with higher temperature and atmospheric drought by 2.2‰ for PO and 3.0‰ for MC. Although there was not a statistically significant difference, we observed a trend towards a lower aΔR in MC compared to PO independent of the treatment.
We analysed changes in the metabolite profiles due to the treatment in current-year (N10) and previous-year needles (N09) for the two provenances separately, and averaged over both provenances (Figure 3). In both provenances and both needle age classes, there was a general trend for an increase in monosaccharide concentrations in the high temperature treatment. The difference was significant for glucose in N10 needles of PO and for fructose, glucose and rhamnose in N10 needles averaged over both provenances. While sucrose concentrations did not change, raffinose decreased in both needle age classes (average of both provenances). Cellobiose increased in elevated temperature exposed plants in N10 in both provenances (significant in PO) and as a consequence the average for the two provenances increased significantly. Within the group of polyols, myo-inositol decreased for the average of the two provenances in both age classes, but when analysed separately for each provenance, the decrease was only significant for MC. As a provenance average, D-pinitol and ononitol concentrations increased in both needle age classes and N10 needles, respectively, as a response to the treatment. These increases were most pronounced and significant in the provenance PO.
Treatment effects are shown as the log10 ratios of temperature/atmospheric drought treatment (T) vs. controls (C) obtained from the mean values of the relatively quantified metabolite peaks of the two treatments (N = 4–6 for for each treatment N10 and N = 3–5 for N09). Significance levels are given for group differences (T vs. C) and were obtained by a post-hoc Tukey test (*** for p<0.001, ** p<0.01, * p<0.05,. p<0.1). n. det.: the compound was not detected in at least 50% of the replicates of each provenance and needle age class.
Organic acids involved in the TCA cycle were decreased upon the temperature and atmospheric drought treatment for the average of the two provenances: citrate and malate decreased in N10 and fumarate in N09 needles. This decrease was more prominent in the provenance PO and there was no significant difference between control and treatment in MC.
There was a trend for an increase in precursors and metabolites of secondary metabolite pathways as a consequence of the temperature treatment. This increase was significant for shikimate (N09, average of provenances; p<0.1), cinnamic acid (N10, PO; p<0.05), and quinic acid (N10, PO; p<0.01, and average of provenances; p<0.001).
For sugar acids, we observed an increase in saccharic acid under increased temperature and atmospheric drought (N10, MC), but a decrease in glyceric acid in both provenances (N10, MC, PO and average; N09, PO and average).
Total amino acid concentration decreased significantly in current-year needles (N10) in PO and as average of both provenances. The clearest decrease was observed for proline in N10 of both provenances whereas alanine increased in N09.
Flavonoids and especially catechin decreased significantly (p<0.01) and sitosterol concentrations increased in N09 needles (p<0.01) for the average of the two provenances.
Plant biomass and δ13C were only slightly affected by high temperature and atmospheric drought
In our study, the high temperature and atmospheric drought treatment (Table S1) did not affect total biomass in the two Douglas-fir provenances examined (Figure S1). We designed the experiment so that the new flush of needles was already fully developed by treatment initiation. Cambial activity is assumed to continue after leaf expansion, so that stem and root growth might be affected by the high temperature and atmospheric drought treatment. As expected, current-year needles biomass (N10) was not affected; the same was true for the previous-year needles (N09). The reduction in N08 needle biomass might be explained by needle loss during the experimental period and/or by withdrawal of non-structural compounds from senescing needles as accelerated senescence by heat stress has been observed previously . All other tissues, in which growth during the experimental period should be assumed (e.g., roots and stem tissues), were, however, not affected by the treatment and only slight changes in C allocation between current-year needles and fine roots, and between fine roots and coarse roots were observed (Figure S1B).
At the same time, plant δ13C, as a marker for intrinsic water use efficiency and the relationship between A and gs, was largely unaffected (Figure 1). Even though our treatment clearly exceeded the optimum temperature for photosynthesis for Douglas-fir (≤20°C)  and we additionally induced atmospheric drought, neither the time-integrated relationship between A and gs nor root and shoot biomass production were negatively affected during the treatment period. However, long-term effects of heat waves on growth remain to be investigated. Based on our observations over a 92-days treatment period, we reject our hypothesis (2) as our results point to the fact that the two provenances from the menziesii-glauca transition zone in southern interior British Columbia and the glauca zone demonstrate the physiological plasticity that allows the seedlings to continue assimilation and growth during extended periods of high temperatures in the late growing season.
The more negative apparent respiratory fractionation indicates switches in the substrate commitment from the TCA cycle to other metabolic pathways
We did not observe increased dark respiration rates under high temperature and atmospheric drought, which supports results from other studies, such as the work by , who found a strong thermal acclimation of respiration in conifers but not in broad-leaved species. In the control treatment, the isotopic enrichment of respired CO2 above WSOM (as the putative substrate) was 3.9‰ and 5.2‰ in the Douglas-fir provenances PO and MC, respectively, and thus lies in the range observed in many other species (see review  and citations therein).
A decrease in the contribution of CO2 decarboxylated in the TCA cycle relative to CO2 released by PDH to total CO2 production will cause an increase in δ13C of respired CO2  and thus a decrease in aΔR. Our results (Figure 2) thus point to the fact that from a given glucose moiety entering the glycolysis/TCA cycle relatively less CO2 is evolved from the two TCA enzymes isocitrate dehydrogenase and 2-oxoglutarate dehydrogenase in the high temperature treatment compared to the control. Thus, there were shifts in metabolic pathways in both provenances tested toward the production of secondary metabolites (and acetogenic lipids) derived from acetyl-CoA at the expense of a more complete oxidation of the initial glucose molecule in the TCA cycle.
High temperature induces a switch in stress protecting compounds from proline to polyols
Priault et al.  hypothesised that differences in the apparent respiratory fractionation between different plant functional groups can be attributed to the relative quantity of carbon committed to the TCA cycle vs. to secondary metabolites and acetogenic fatty acids. These authors showed that Mediterranean species producing larger amounts of secondary metabolites showed more negative apparent respiratory fractionation as compared to species investing less in these compounds. In fact, our metabolite profiling shows that the concentrations of secondary compounds and partially unsaturated fatty acids (hexadecanoic (palmitic), octadecanoic (stearic) acid) tended to increase under high temperature and VPD at the expense of TCA intermediates. The relative changes in metabolite abundance of control and stressed plants together with the assessment of apparent respiratory fractionation provide general evidence for altered metabolic priorities in both provenances under high temperature and atmospheric drought.
In general, the most abundant metabolites in all analysed tissues were sucrose, D-pinitol and quinic acid which is consistent with previous assessments of Picea abies , Pinus nigra and Abies alba . Although the sucrose level was not affected by the treatment, both pinitol and quinic acid clearly increased. Polyols such as pinitol and ononitol are involved in stress responses, such as drought and heat stress, and have also been associated with osmotic adjustment , , scavenging of reactive oxygen species (ROS) , , and osmoprotection , .  showed that among proline, betaine, sorbitol and mannitol, the polyols were most effective at increasing the stability of enzymes at high temperatures.
We infer that the observed increase in the two polyols is a direct acclimation response of the two Douglas-fir provenances examined to the potentially adverse effects of drought and high temperatures. In line with the increase in pinitol and ononitol is the decrease in myo-inositol and raffinose. Myo-inositol is a precursor for raffinose, ononitol and pinitol. The increased priority of polyol production most likely results in a decreased concentration of the precursor and thus potentially to restricted precursor availability for raffinose synthesis.
The increase in polyol synthesis is also related to the drop in proline concentrations under high temperature as observed in our study. Generally, proline accumulation is associated to drought and salinity stress, e.g., , , and proline functions as osmolyte, antioxidant, energy sinks and signalling molecule , . Under these premises, we might expect proline to increase under high temperature and VPD. It has, however, also been observed that proline can be toxic to cells –, and increased proline toxicity under heat was reported by . Furthermore, proline showed to be less efficient in osmoprotection at high temperatures , and in ROS scavenging  compared to polyols. We therefore conclude that there is a preference for the trees to produce pinitol and ononitol as ROS-scavengers and osmoprotectants at the expense of proline synthesis under high temperature. In addition, the increase in alanine in N09 needles, which also may serve as osmolyte , might be seen in a similar light.
The concentration of monosaccharides in all analysed needle age classes (N10 and N09) increased under high temperature. Accumulation of monosaccharides was also observed in Pinus and Larix under drought  and in Arabidopsis under the combination of drought and elevated temperature  and after heat shock . Similar to our results, Riikonen et al.  found an increase of monosaccharides at the expense of trisaccharides in Norway spruce seedlings exposed to slightly elevated temperature. They concluded that the increase of monosaccharides results from the remobilization of stored resources to support growth at elevated temperature. However, monosaccharide accumulation might also reflect their role in a heat stress specific replacement for proline as an osmoprotectant as previously suggested by Rizhsky et al.  for Arabidopsis.
In our study, a large portion of identified metabolites in all treatments and provenances are related to the shikimate and phenylpropanoid pathways and the treatment effect across both provenances showed a significant increase in the total amount of acids involved in the shikimic acid pathway. We observed a general trend for increases in shikimic, quinic and galactonic acid in the high temperature treatment in both provenances. Elevated levels of quinic and shikimic acid were also reported in Arabidopsis in response to heat . In contrast to our results, a decrease in phenolics at elevated temperature was detected in Douglas-fir  and in other tree species , . Quinic acid, related to phenylpropanoid synthesis, plant defence , , drought stress, and antioxidant activity , , was one of the three most abundant metabolites in our study and increased significantly in current-year needles of the provenance MC grown under high temperature. This highlights an additional facet of the heat induced metabolic responses of Douglas-fir.
In conclusion, our results strongly support our hypothesis (1), indicating that high temperature and atmospheric drought alter the preference for specific metabolic pathways and the metabolite profiles. An array of metabolites protecting against high temperature, osmotic stress, and reactive oxygen species are accumulated as well as precursors of the secondary metabolism. Such accumulation seems to occur at the expense of proline. We might interpret the metabolic acclimation as successful means to maintain physiological activity and functioning of Douglas-fir seedlings of the two examined provenances during heat waves. Concerning hypothesis (3), we can clearly state that there are no differences in biomass accumulation of seedlings from both provenances (Monte Creek and Pend Oreille). Even though the effects of increased temperature combined with atmospheric drought on the metabolism might have been slightly different between the two provenances, a general parallel trend could be observed. Apparently, the metabolic mechanisms involved in mediating resistance to elevated temperature and atmospheric drought are similar in the two provenances tested here, and we can thus reject hypothesis (3). The two provenances originated from rather dry interior areas of origin (Table 1) and we might assume that coastal provenances adapted to a more humid climate respond differently and are more sensitive to heat and drought. However, Jansen et al.  observed no relation between drought sensitivity and the environmental conditions at the site of origin for old-growth coastal Douglas-fir. They concluded that long-term climatic conditions at the origin averaged over the year or the growing season are poor indicators for the occurrence of stress and that the frequency of heat and drought events in a region might be better predictors for adaptation. Based on the results of the two provenances presented here, we might extend this hypothesis to seedlings. In conclusion, we can state that the Douglas-fir seedlings from the glauca zone and menziesii-glauca transition assessed here are well adapted to extended periods of high air temperature and atmospheric drought and thus might represent a suitable resource for forestry in Central Europe under future climatic conditions and extreme events.
Effects of increased temperature on Douglas-fir provenances total and organ-specific biomass (A) and on biomass ratios between organs (B). (A) shows absolute dry weight data of seedlings of the provenances Pend Oreille and Monte Creek grown under control conditions (C; 20°C, 85% rH) and elevated temperature and increased VPD (T; 30°C, 55% rH). Data shown are mean values ± SD (N = 4 to 5). Small letters indicate homogeneous groups (Tukey posthoc test). Large letters indicate significant effects of provenance (P) and treatment (T) (ANOVA). FR, fine roots, CR, coarse roots, B, bark, W, wood, TW, twig, N10, current year needles (2010), N09 and N08, previous year needles (2009, 2008, respectively).
We thank Nursery Services Interior, Vernon, and Webster Forest Nursery, Olympia, for intensive consulting and seedling supply, as well as Robert Hommel and Christine Ewald for assistance during the experimental work. We acknowledge Susanne Remus for her assistance with the isotopic analysis.
Conceived and designed the experiments: KJ BD ZK IE HR JK AG. Performed the experiments: KJ BD ZK JK AG. Analyzed the data: KJ BD ZK RS IE HR BK CJ MS JK AG. Contributed reagents/materials/analysis tools: RS BK CJ. Wrote the paper: KJ BD ZK RS IE HR BK CJ MS JK AG.
- 1. IPCC (2007) Climate Change 2007. In:Solomon QD, Manning M, Chen Z, Marquis M, Averyt K et al. editors. The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press. 996 p.
- 2. IPCC (2013) Summary for Policymakers. In: Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK et al. editors. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York: Cambridge University Press. 29 p.
- 3. Smith DM, Cusack S, Colman AW, Folland CK, Harris GR, et al. (2007) Improved surface temperature prediction for the coming decade from a global climate model. Science 317:796–799.
- 4. Meehl GA, Tebaldi C (2004) More intense, more frequent, and longer lasting heat waves in the 21st century. Science 305:994–997.
- 5. Schär C, Vidale PL, Lüthi D, Frei C, Häberli C, et al. (2004) The role of increasing temperature variability in European summer heatwaves. Nature 427:332–336.
- 6. Easterling DR, Evans JL, Groisman PY, Karl TR, Kunkel KE, et al. (2000) Observed Variability and Trends in Extreme Climate Events: A Brief Review. Bull Am Meteorol Soc 81:417–425.
- 7. De Boeck HJ, Dreesen FE, Janssens IA, Nijs I (2010) Climatic characteristics of heat waves and their simulation in plant experiments. Glob Chang Biol 16:1992–2000.
- 8. Bréda N, Huc R, Granier A, Dreyer E (2006) Temperate forest trees and stands under severe drought: a review of ecophysiological responses, adaptation processes and long-term consequences. Ann For Sci 63:625–644.
- 9. Ciais P, Reichstein M, Viovy N, Granier A, Ogée J, et al. (2005) Europe-wide reduction in primary productivity caused by the heat and drought in 2003. Nature 437:529–533.
- 10. Allen CD, Macalady AK, Chenchouni H, Bachelet D, McDowell N, et al. (2010) A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. For Ecol Manage 259:660–684.
- 11. Rennenberg H, Loreto F, Polle A, Brilli F, Fares S, et al. (2006) Physiological responses of forest trees to heat and drought. Plant Biol 8:556–571.
- 12. Way DA, Oren R (2010) Differential responses to changes in growth temperature between trees from different functional groups and biomes: a review and synthesis of data. Tree Physiol 30:669–688.
- 13. Carter KK (1996) Provenance tests as indicators of growth response to climate change in 10 north temperate tree species. Can J For Res 26:1089–1095.
- 14. Lévesque M, Rigling A, Bugmann H, Weber P, Brang P (2014) Growth response of five co-occurring conifers to drought across a wide climatic gradient in Central Europe. Agric For Meteorol 197:1–12.
- 15. Jansen K, Sohrt J, Kohnle U, Ensminger I, Gessler A (2013) Tree ring isotopic composition, radial increment and height growth reveal provenance-specific reactions of Douglas-fir towards environmental parameters. Trees - Struct Funct 27:37–52.
- 16. Ryan MG (2010) Temperature and tree growth. Tree Physiol 30:667–668.
- 17. Rehfeldt GE, Tchebakova NM, Parfenova YI, Wykoff WR, Kuzmina NA, et al. (2002) Intraspecific responses to climate in Pinus sylvestris. Glob Chang Biol 8:912–929.
- 18. Koerner C (2003) Carbon limitation in trees. J Ecol 91:4–17.
- 19. Kaplan F, Kopka J, Haskell DW, Zhao W, Schiller KC, et al. (2004) Exploring the temperature-stress metabolome of Arabidopsis. Plant Physiol 136:4159–4168.
- 20. Werner C, Gessler A (2011) Diel variations in the carbon isotope composition of respired CO2 and associated carbon sources: a review of dynamics and mechanisms. Biogeosciences 8:2437–2459.
- 21. Duranceau M, Ghashghaie J, Badeck F, Deleens E, Cornic G (1999) δ13C of CO2 respired in the dark in relation to δ13C of leaf carbohydrates in Phaseolus vulgaris L. under progressive drought. Plant Cell Environ 22:515–523.
- 22. Ghashghaie J, Duranceau M, Badeck F, Cornic G, Adeline M, et al. (2001) δ13C of CO2 respired in the dark in relation to δ13C of leaf metabolites: comparison between Nicotiana sylvestris and Helianthus annuus under drought. Plant Cell Environ 24:505–515.
- 23. Tcherkez G, Nogués S, Bleton J, Cornic G, Badeck F, et al. (2003) Metabolic origin of carbon isotope composition of leaf dark-respired CO2 in French bean. Plant Physiol 131:237–244.
- 24. Tcherkez G, Farquhar G, Badeck F, Ghashghaie J (2004) Theoretical considerations about carbon isotope distribution in glucose of C3 plants. Funct Plant Biol 31:857–877.
- 25. Werner RA, Buchmann N, Siegwolf RT, Kornexl BE, Gessler A (2011) Metabolic fluxes, carbon isotope fractionation and respiration – lessons to be learned from plant biochemistry. New Phytol 191:10–15.
- 26. Stewart GR, Larher F, Miflin BJ (1980) Accumulation of amino acids and related compounds in relation to environmental stress. The biochemistry of plants. A comprehensive treatise. Volume 5. Amino acids and derivatives. 609–635.
- 27. Taylor CB (1996) Proline and water deficit: Ups, downs, ins, and outs. Plant Cell 8:1221–1224.
- 28. Hellmann H, Funck D, Rentsch D, Frommer WB (2000) Hypersensitivity of an Arabidopsis sugar signaling mutant toward exogenous proline application. Plant Physiol 122:357–368.
- 29. Deuschle K, Funck D, Hellmann H, Daschner K, Binder S, et al. (2001) A nuclear gene encoding mitochondrial Delta-pyrroline-5-carboxylate dehydrogenase and its potential role in protection from proline toxicity. Plant J 27:345–356.
- 30. Mani S, Van De Cotte B, Van Montagu M, Verbruggen N (2002) Altered levels of proline dehydrogenase cause hypersensitivity to proline and its analogs in Arabidopsis. Plant Physiol 128:73–83.
- 31. Nanjo T, Fujita M, Seki M, Kato T, Tabata S, et al. (2003) Toxicity of free proline revealed in an Arabidopsis T-DNA-tagged mutant deficient in proline dehydrogenase. Plant Cell Physiol 44:541–548.
- 32. Rizhsky L, Liang H, Shuman J, Shulaev V, Davletova S, et al. (2004) When defense pathways collide. The response of Arabidopsis to a combination of drought and heat stress. Plant Physiol 134:1683–1696.
- 33. Taji T, Ohsumi C, Iuchi S, Seki M, Kasuga M, et al. (2002) Important roles of drought- and cold-inducible genes for galactinol synthase in stress tolerance in Arabidopsis thaliana. Plant J 29:417–426.
- 34. Hoekstra FA, Golovina EA, Buitink J (2001) Mechanisms of plant desiccation tolerance. Trends Plant Sci 6:431–438.
- 35. Riikonen J, Kontunen-Soppela S, Ossipov V, Tervahauta A, Tuomainen M, et al. (2012) Needle metabolome, freezing tolerance and gas exchange in Norway spruce seedlings exposed to elevated temperature and ozone concentration. Tree Physiol 32:1102–1112.
- 36. Buchanan BB, Gruissem W, Jones RL (2000) Biochemistry and Molecular Biology of Plants. Rockville: American Society of Plant Physiologists. 1367 p.
- 37. Hanewinkel M, Cullmann D, Michiels HG (2010) Künftige Baumarteneignung für Fichte und Buche in Südwestdeutschland. AFZ-Der Wald 19:30–33.
- 38. Brandl H (1989) Ergänzende Untersuchungen zur Ertragslage der Baumarten Fichte, Kiefer, Buche und Eiche in Baden-Württemberg. Allg Forst-u J-Ztg 160:91–98.
- 39. Heidingsfelder A, Knoke T (2004) Douglasie versus Fichte: ein betriebswirtschaftlicher Leistungsvergleich auf der Grundlage des Provenienzversuches Kaiserslautern. Schriften zur Forstökonomie 26.
- 40. St Clair JB, Howe GT (2007) Genetic maladaptation of coastal Douglas-fir seedlings to future climates. Glob Chang Biol 13:1441–1454.
- 41. Sork V, Aitken S, Dyer R, Eckert A, Legendre P, et al. (2013) Putting the landscape into the genomics of trees: approaches for understanding local adaptation and population responses to changing climate. Tree Genet Genomes 9:901–911.
- 42. Bansal S, Harrington CA, Gould PJ, St.Clair JB (2014) Climate-related genetic variation in drought-resistance of Douglas-fir (Pseudotsuga menziesii). Glob Chang Biol. Online first.
- 43. Doehlert DC, Walker RB (1981) Photosynthesis and photorespiration in Douglas-fir as influenced by irradiance, CO2 concentration, and temperature. For Sci 27:641–650.
- 44. Lewis JD, Lucash M, Olszyk D, Tingey DT (2001) Seasonal patterns of photosynthesis in Douglas fir seedlings during the third and fourth year of exposure to elevated CO2 and temperature. Plant, Cell Environ 24:539–548.
- 45. Cavender-Bares J, Bazzaz FA (2000) Changes in drought response strategies with ontogeny in Quercus rubra: implications for scaling from seedlings to mature trees. Oecologia 124:8–18.
- 46. Gessler A, Keitel C, Nahm M, Rennenberg H (2004) Water shortage affects the water and nitrogen balance in Central European beech forests. Plant Biol 6:289–298.
- 47. Kohnle U, Hein S, Sorensen FC, Weiskittel AR (2012) Effects of seed source origin on bark thickness of Douglas-fir (Pseudotsuga menziesii) growing in southwestern Germany. Can J For Res 42:382–399.
- 48. Little ELJ (1971) Atlas of United States trees. Volume 1. Conifers and important hardwoods. Miscellaneous publication 1146. Washington, DC: US Department of Agriculture, Forest Service.
- 49. Randall WK, Berrang P (2002) Washington tree seed transfer zones. Olympia (WA): Washington State Department of Natural Resources.
- 50. Sorensen FC (1979) Provenance variation in Pseudotsuga menziesii seedlings from the var. menziesii-var. glauca transition zone in Oregon. Silvae Genet 28:96–103.
- 51. Stoeckli R, Simmon R (2003) European Heat Wave. August 16, 2003. Based upon data provided by the MODIS Land Science Team. Available: http://earthobservatory.nasa.gov/IOTD/view.php?id=3714. Assessed 2014 October 26.
- 52. Farquhar GD, Ehleringer JR, Hubick KT (1989) Carbon isotope discrimination and photosynthesis. Annu Rev Plant Biol 40:503–537.
- 53. Priault P, Wegener F, Werner C (2009) Pronounced differences in diurnal variation of carbon isotope composition of leaf respired CO2 among functional groups. New Phytol 181:400–412.
- 54. Barbour MM, Walcroft AS, Farquhar GD (2002) Seasonal variation in δ13C and δ18O of cellulose from growth rings of Pinus radiata. Plant Cell Environ 25:1483–1499.
- 55. Lewis JD, McKane RB, Tingey DT, Beedlow PA (2000) Vertical gradients in photosynthetic light response within an old-growth Douglas-fir and western hemlock canopy. Tree Physiol 20:447–456.
- 56. Daly C, Gibson W, Taylor G, Johnson G, Pasteris P (2002) A knowledge-based approach to the statistical mapping of climate. Clim Res 22:99–113.
- 57. Wang T, Hamann A, Spittlehouse DL, Murdock TQ (2012) ClimateWNA—High-Resolution Spatial Climate Data for Western North America. J Appl Meteorol Climatol 51:16–29.
- 58. Gessler A, Tcherkez G, Karyanto O, Keitel C, Ferrio JP, et al. (2009) On the metabolic origin of the carbon isotope composition of CO2 evolved from darkened light-acclimated leaves in Ricinus communis. New Phytol 181:374–386.
- 59. Ruehr NK, Offermann CA, Gessler A, Winkler JB, Ferrio JP, et al. (2009) Drought effects on allocation of recent carbon: from beech leaves to soil CO2 efflux. New Phytol 184:950–961.
- 60. Kodama N, Ferrio J, Brüggemann N, Gessler A (2011) Short-term dynamics of the carbon isotope composition of CO2 emitted from a wheat agroecosystem–physiological and environmental controls. Plant Biol 3:115–125.
- 61. Kodama N, Barnard RL, Salmon Y, Weston C, Ferrio JP, et al. (2008) Temporal dynamics of the carbon isotope composition in a Pinus sylvestris stand: from newly assimilated organic carbon to respired carbon dioxide. Oecologia 156:737–750.
- 62. Keeling CD (1958) The concentration and isotopic abundances of atmospheric carbon dioxide in rural areas. Geochim Cosmochim Acta 13:322–334.
- 63. Keeling CD (1961) The concentration and isotopic abundances of carbon dioxide in rural and marine air. Geochim Cosmochim Acta 24:277–298.
- 64. Miller JB, Tans PP (2003) Calculating isotopic fractionation from atmospheric measurements at various scales. Tellus B 55:207–214.
- 65. Kayler ZE, Ganio L, Hauck M, Pypker TG, Sulzman EW, et al. (2010) Bias and uncertainty of δ13CO2 isotopic mixing models. Oecologia 163:227–234.
- 66. Kreuzwieser J, Hauberg J, Howell KA, Carroll A, Rennenberg H, et al. (2009) Differential response of gray poplar leaves and roots underpins stress adaptation during hypoxia. Plant Physiol 149:461–473.
- 67. Erxleben A, Gessler A, Vervliet-Scheebaum M, Reski R (2012) Metabolite profiling of the moss Physcomitrella patens reveals evolutionary conservation of osmoprotective substances. Plant Cell Rep 31:427–436.
- 68. Kopka J, Schauer N, Krueger S, Birkemeyer C, Usadel B, et al. (2005) GMD@CSB.DB: The Golm metabolome database. Bioinformatics 21:1635–1638.
- 69. Barbour M, McDowell N, Tcherkez G, Bickford C, Hanson D (2007) A new measurement technique reveals rapid post-illumination changes in the carbon isotope composition of leaf-respired CO2. Plant Cell Environ 30:469–482.
- 70. Thomas H, Stoddart JL (1980) Leaf senescence. Annu Rev Plant Physiol 31:83–111.
- 71. Tjoelker M, Oleksyn J, Reich PB (1999) Acclimation of respiration to temperature and CO2 in seedlings of boreal tree species in relation to plant size and relative growth rate. Glob Chang Biol 5:679–691.
- 72. Duquesnoy E, Castola V, Casanova J (2008) Identification and quantitative determination of carbohydrates in ethanolic extracts of two conifers using 13C NMR spectroscopy. Carbohydr Res 343:893–902.
- 73. Paul MJ, Cockburn W (1989) Pinitol, a compatible solute in Mesembryanthemum crystallinum L.? J Exp Bot 40:1093–1098.
- 74. Griffin JJ, Ranney TG, Pharr DM (2004) Heat and drought influence photosynthesis, water relations, and soluble carbohydrates of two ecotypes of redbud (Cercis canadensis). J Am Soc Hortic Sci 129:497–502.
- 75. Shen B, Jensen RG, Bohnert HJ (1997) Increased resistance to oxidative stress in transgenic plants by targeting mannitol biosynthesis to chloroplasts. Plant Physiol 113:1177–1183.
- 76. Nishizawa A, Yabuta Y, Shigeoka S (2008) Galactinol and raffinose constitute a novel function to protect plants from oxidative damage. Plant Physiol 147:1251–1263.
- 77. Smirnoff N, Stewart GR (1985) Stress metabolites and their role in coastal plants. In: Ecology of coastal vegetation. Springer Netherlands. pp. 273–278.
- 78. Bouche N, Fromm H (2004) GABA in plants: just a metabolite? Trends Plant Sci 9:110–115.
- 79. Szabados L, Savouré A (2010) Proline: a multifunctional amino acid. Trends Plant Sci 15:89–97.
- 80. Buxton GV, Greenstock CL, Helman WP, Ross AB (1988) Critical Review of rate constants for reactions of hydrated electrons, hydrogen atoms and hydroxyl radicals (-OH/.O-) in aqueous solution. J Phys Chem Ref Data 17:513–516.
- 81. Sudachkova NE, Milyutina IL, Semenova GP (2002) Influence of water deficit on contents of carbohydrates and nitrogenous compounds in Pinus sylvestris L. and Larix sibirica Ledeb. tissues. Eurasian J For Res 4:1–11.
- 82. Kuokkanen K, Julkunen-Tiitto R, Keinaenen M, Niemelae P, Tahvanainen J (2001) The effect of elevated CO2 and temperature on the secondary chemistry of Betula pendula seedlings. Trees - Struct Funct 15:378–384.
- 83. Paajanen R, Julkunen-Tiitto R, Nybakken L, Petrelius M, Tegelberg R, et al. (2011) Dark-leaved willow (Salix myrsinifolia) is resistant to three-factor (elevated CO2, temperature and UV-B-radiation) climate change. New Phytol 190:161–168.
- 84. Bennett RN, Wallsgrove RM (1994) Secondary metabolites in plant defence mechanisms. New Phytol 127:617–633.
- 85. Macheix J-J, Fleuriet A, Billot J (1990) Fruit phenolics. Boca Raton: CRC Press. 392 p.
- 86. Rivas-Ubach A, Sardans J, Perez-Trujillo M, Estiarte M, Penuelas J (2012) Strong relationship between elemental stoichiometry and metabolome in plants. PNAS 109:4181–4186.
- 87. Yang YJ, Liu X, Wu HR, He XF, Bi YR, et al. (2013) Radical scavenging activity and cytotoxicity of active quinic acid derivatives from Scorzonera divaricata roots. Food Chem 138:2057–2063.