Nitrogen fertilization and CO2 concentration synergistically affect the growth and protein content of Agropyron mongolicum

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Plant Biology

Introduction

Atmospheric carbon dioxide (CO2) concentration has risen from 270 µmol mol−1 before the industrial revolution to 414 µmol mol−1 in 2020 (Domiciano et al., 2020), and the rate of increase is predicted to hasten during this century (IPCC, 2013). Elevated CO2 concentrations (eCO2) have a significant impact on plant growth, productivity, and quality in natural and agricultural systems (Burgess & Huang, 2014; Liu, Tian & Zhang, 2016). It is well established that plants can benefit from the augmented atmospheric CO2 concentration through the “CO2 fertilization effect”, particularly for C3 species (Burgess & Huang, 2014). Since C3 plants use the carboxylase enzyme RuBisCO (ribulose-1,5-bisphosphate carboxylase-oxygenase) to fix CO2 from the air and obtain 3-carbon intermediate molecules as the first step in photosynthesis, lose a portion of their fixed CO2 to oxidative photorespiration under present CO2:O2 ratios because RuBisCO is also an oxygenase (Ainsworth & Long, 2005; Reich et al., 2018). By contrast, in C4 plants, a different enzyme (phosphoenolpyruvate carboxylase) with a high affinity for CO2 and lacking oxygenase activity first incorporate CO2 into a 4-carbon intermediate, which is then shuttled to specialized bundle sheath cells where CO2 isreleased, and a high CO2:O2 ratio results in a lower rate of photorespiration. Thus, C3 plants exhibit increased photosynthesis as increasing CO2:O2 ratios reduce rates of photorespiration and increase rates of carboxylation, while the photosynthetic rate of C4 plants is hardly affected by eCO2 levels in the air (Reich et al., 2018). Meanwhile, the eCO2 can decrease stomatal conductance (Gs) and transpiration rate (Tr) thereby increasing water use efficiency (Li, Wang & Liu, 2021), which can mitigate the negative climate effects accompanied by rising atmospheric CO2 effects, such as global warming and precipitation pattern (Zheng et al., 2020). However, higher growth rates and substantial biomass accumulation dilute nutrients within their tissues. It has been reported that the nitrogen and protein concentrations in plant tissues exposed to eCO2 generally declined due to constrain by N availability.

Previous studies have shown that the eCO2 can decrease nitrogen (N) concentration in plant tissues, particularly under N-limited conditions. One reason for the lowered N concentration of plants grown under eCO2 is the dilution of N by extra carbohydrate accumulation (Li, Wang & Liu, 2021). On the other hand, the uptake of N through transpiration-driven mass flow depends on the Tr and N ion concentration in the rhizosphere (Plhák, 2003). The eCO2 could cause a decrease in N uptake rate per unit mass or length of root due to decreased Tr thereby decreasing the mass flow of NO 3 from the soil to the root (Li, Wang & Liu, 2021; Mcdonald, Erickson & Kruger, 2002). For example, Bloom (2015) observed that lessened leaf protein content under eCO2 is linked with limitations in NO 3 assimilation caused by the reduction in transpiration. Also, eCO2 induced N-deficiency and sink:source imbalance, especially in leaf scale, can aggravate another phenomenon that is commonly observed: photosynthetic acclimation to eCO2 (Halpern et al., 2018). CO2 acclimation is intrinsically related to a reduction of Rubisco, and a decrease in leaf gas exchange and carboxylation capacity (Erice et al., 2014), consequently resulting in decreasing carbon assimilation rates and limiting plant growth (Cohen et al., 2019; Zheng et al., 2019). Similarly, it has been previously described in meta-analyses that the reduction of leaf N content in plants responding to eCO2 directly affects protein content (Loladze, 2014) and thus affects carbon fixation. The reduction of photosynthetic weakens, though generally does not eliminate, the expected stimulation of eCO2 on growth (Jauregui et al., 2015).

Nitrogen (N) is the mineral element that plants require in the largest quantities (Fernando et al., 2017), and it is a key component of amino and nucleic acids (Cohen et al., 2019). Plants mainly acquire N from the soil as nitrate ( NO 3 ) and ammonium ( NH 4 + ). Thus, fertilization with N is vital for plant growth and development. N-fertilization has been described to increase root growth, alter the shoot-to-root ratio, favor fine-root proliferation and modify root architecture of Arabidopsis plants (Jauregui et al., 2016). Such effects highlight the fact that roots play a central role in nutrient uptake and assimilation (BassiriRad, Gutschick & Lussenhop, 2001). In addition to the central role of the root, the increase in leaf N has also been suggested. As leaf N directly affects photosynthetic capacity and gas exchange, leaf N concentration is correlated to the Gs, Tr, photosynthetic rate (Pn), and growth (Lei et al., 2012). A large part of N in plant tissues is present in protein, so protein concentrations are often directly related to total N concentrations (Bahrami et al., 2017).

Although some measures and mechanisms to improve plant nitrogen content under eCO2 have been reported on several occasions, such as protein extraction in the biorefinery (Solati et al., 2018), optimization the planting system (Manevski et al., 2017), improvement of photosynthesis and water use efficiency (Li, Wang & Liu, 2021; Manderscheid et al., 2018), increment of absorption and assimilation of NO 3 (Bloom et al., 2014), as well as root formation and root elongation (Cohen et al., 2019), the combined effects of eCO2 and different N-fertigation levels on plant growth and N nutrition remain largely elusive. Particularly rare are studies measuring the effects of eCO2 and N on native grassland plant species in terms of productivity and N nutritional quality from root and leaf levels.

In the present study, we investigated the interactive effects of eCO2 plus N-fertilization on the root, shoot biomass, root length (RL), leaf area (LA), specific leaf area (SLA), leaf nitrogen concentration (LNC), Pn, Gs, Tr, and physiological processes associated with N acquisition of the dominant species of Agropyron mongolicum, a perennial rhizomatous C3 grass, in Ningxia desert steppe by growing them in soils collected from Ningxia desert steppe grassland using open-top chambers (OTCs). Our working hypothesis is that eCO2 and N-fertilization would further enhance biomass accumulation while increasing plant N nutrition under eCO2, where LNC, total root length (TRL), root N uptake capacity, root and leaf NO 3 assimilation, as well as Gs and Tr, would play an important role in modulating the effects of the fertigation with N on plant growth and N nutritional quality under eCO2.

Materials and Methods

Plant materials and growth conditions

The experiment was conducted from April to August 2021 at the experimental farm of Ningxia University located in Yongning County, Ningxia, China (38°13′50″N; 106°14′21″E; 1116.76 m a. s. l.). Both seeds and soils were collected from the desert steppe of Yanchi County, Ningxia, China (37°20′30″N, 107°15′38″E). The soil was classified as sandy loam, having a pH of 8.55, soil organic carbon of 3.95 g kg−1, total N of 0.16 g kg−1, available phosphorus of 3.13 mg kg−1, and available potassium was 121.56 mg kg−1. The pots used were 15 L (27.5 cm in diameter at the top edge, 22 cm in diameter at the bottom, 31 cm in height). Before filling the pots, the soil was sieved passing through a two mm mesh. Thirty healthy seeds were sown in pots filled with 10 kg air-dried soil on 21st April 2021. All pots were well watered to ensure seedling establishment. After 1-month of growth outside the greenhouse, 8 uniform and robust seedlings of A. mongolicum were kept in each pot, and then all pots were moved into octagonal field open-top chambers (OTCs) on May 30, 2021, and CO2 and N treatments were initiated. Other environmental factors of all the OTCs (six chambers in total) were not significantly different among chambers and maintained with average temperature (28/18  ± 2 °C, day/night), relative humidity (70  ± 5%), soil moisture content (70–80% of field capacity), and light intensity (more than 500 µmol m−2 s−1 photosynthetic active radiation from natural sunlight). The actual CO2 concentrations, temperatures, relative humidity, and soil moisture content during the experimental period are shown in Fig. S1.

Experimental design and treatments

This experiment was defined as a randomized split-plot design comprised of two CO2 levels (aCO2:400  ± 20 µmol mol−1 vs eCO2:800  ± 20 µmol mol−1) as the main plot and three N application rates (N0 (control): ambient; N1.2 (low N): ambient +1.2 g N m−2 yr−1 and N3.6 (high N): ambient +3.6 g N m−2 yr−1,) as the subplot. A total of 6 treatments, each treatment with 3 biological replicates. The eCO2 in OTCs was maintained by injecting pure CO2 and continuously monitored every 6 min using a system controller coupled to the proportional-integral controller. The automatic control system for CO2 levels and OTCs described in more detail by Ma et al. (2021). For N fertigation, all potted seedlings were moved into OTCs, randomly divided into three groups (15 pots per group) in each OTC, and 45 pots in total. Twice a month during the treatment period, each pot in OTCs received N fertilizer dissolved in 500 mL of tap water by spraying the seedlings in four equal splits at rates of total NH4NO3-N of 0, 1.2, and 3.6 g N m−2 yr−1 on 15th, 30th June, 15th, 30th July 2021, respectively. N application rates were designed based on our previous study (Xu et al., 2022). All pots were rotated every 7 days between the chambers to prevent the potential position effects and regularly weighed, watered, and maintained at 70–80% of field capacity until the end of the experiments. The plants were harvested for analysis after 70 days of the CO2 treatments.

Determination of biomass and root morphology

Three whole individual plants were hand-harvested from per N treatment within each OTC at the harvested time. The harvested plants were separated into roots and shoots (leaves and stems) with scissors. The roots were washed with deionized water repeatedly, then each plant’s root and stem tissues were packed into separate envelopes and dried to constant weight at 65 °C. The dry weight of the shoots and roots of each plant was measured. The root/shoot ratio was calculated using the shoot and root dry weight ratio.

Fresh root samples from each treatment were analyzed for total root length (TRL) and surface area (RSA), the method of determination as described in a previous study by Xu et al. (2022). Specific root length (SRL) was calculated by dividing TRL by its mass (Cohen et al., 2019). RNU, as a surrogate for N uptake capacity per unit of root length, was calculated by the ratio of the total aboveground N content divided by TRL (Bahrami et al., 2017).

Gas exchange and Leaf traits determinations

The leaf gas exchange assessments were performed on sunny days between 9:00–11:30 just before harvesting using an LI-6400 XT portable photosynthesis system (Li-Cor, Lincoln, NE, USA). Measurements were performed on the fully expanded leaves of each sample plant (at least three individual plants per treatment in each chamber) under continuous light photosynthetic photon flux density of 1,500 µmol m−2 s−1, 500 µmol s−1 flow rate, and air temperature of 25 °C. Three of the fully expanded leaves per replicate were excised from atop the stolons and were immediately scanned using an Epson flatbed scanner for calculation of total leaf area (LA) and then dried at 75 °C for 48 h until a constant dry weight (DW). The specific leaf area (SLA) was calculated as the ratio of leaf area to dry weight.

Quantification of protein, amino acids, nitrate, and nitrogen concentration

Samples of 0.1 g were ground in liquid N and transferred to an Eppendorf® tube (2.5 mL), and two mL of ultrapure water was added. The samples were centrifuged at 11, 200 × g for 10 min at 4 °C and the supernatant was collected. The quantification of NO 3 was determined as described by Cataldo et al. (1975). Total protein content (TP) was measured using the Coomassie Brilliant Blue method (Bradford, 1976). The ninhydrin method was used to determine the total free amino acid content (FAA) (Yokoyama & Hiramatsu, 2003). The dried root and leaf samples were milled in a ball-mixer mill (MM200, Retsch, Haan, Germany) to analyze the nutrient content. The total N concentration was measured using an elemental analyzer (Flash EA1112; Thermo Scientific, West Palm Beach, FL, USA). Total N content was calculated as the tissue N concentration × tissue total dry weight. The percentage of N remaining as unassimilated NO 3 in the organs was calculated as NO 3 -N content/total N content (Bahrami et al., 2017).

Nitrate reductase and glutamine synthetase activity

Nitrate reductase (NR, E.C.1.6.6.1) and glutamine synthetase (GS, EC 6.3.1.2) determinations were made according to Domiciano et al. (2020). The enzymatic extracts were obtained by homogenizing 1.0 g of frozen tissue and adding 50mM potassium phosphate buffer (pH 7.5) containing 1 mM phenylmethanesulfonyl fluoride, 5 mM ethylene diamine tetra-acetic acid (EDTA), 10% polyvinylpyrrolidone and 2 mM DL-dithiothreitol. The extract was centrifuged at 13,000 × g for 20 min at 4 °C, and the supernatant was used as the source of the enzymes (Domiciano et al., 2020). The NR activity was measured according to the protocol method (Berges & Harrison, 1995). GS was determined using the protocol of Ratajczak, Ratajczak & Mazurowa (1981).

Statistical analysis

Two-way analyses of variance (ANOVAs) were used to examine the effects of CO2, N-fertigation, and the interaction between CO2 concentration and N-fertilization on the morphological and physiological traits in A. mongolicum. Also, one-way analysis of variance (ANOVA) with Duncan’s range test to compare the difference between the aCO2 and eCO2 combined with different N level treatments on morphological and physiological traits at a 0.05 probability level. All these tests were manipulated using SPSS 21.0 software (SPSS Inc., Chicago, IL, USA). Redundancy analysis (RDA) with a forward selection procedure was used to determine morphological and physiological parameters significantly related to the growth and N nutrient content of A. mongolicum. Prior to analysis, variables that had high variance inflation factors (VIF > 20) were removed from the model to eliminate multicollinearity. We further analyze the relationships of the growth and N nutrient content with morphophysiological and biochemical traits using the “GeneNT” package in R software (Asif et al., 2020), and the network visualization was conducted using Cytoscape software (version 3.9.9) (Shannon et al., 2003).

Results

Biomass, root, and leaf morphology traits

Biomass of both shoot and root in A. mongolicum exhibited consistently faster growth in all N treatments compared to N0 under both CO2 conditions (Figs. 1A and 1B). Compared with aCO2, eCO2 exerted greatly growth stimulation under different N treatments, with a 30.8% increase only in the shoot biomass under low N, whereas 39.9% and 107.6% stimulation under high N in root and shoot biomass, respectively. The different responses of the shoot and root biomass in A. mongolicum to enriched CO2 andN led to a decline in the root/shoot ratio. The root/shoot ratios of A. mongolicum were 43.4%, 43%, and 42.2% under aCO2 at control, low, and high N treatments, remaining relatively constant changes; whereas under eCO2, the ratios were increased to 47.9%, 43.9%, and 38.1%, respectively. The results of two-way ANOVA indicated that CO2 concentration and N-fertilization level had significant effects on the shoot and root biomass, but their interaction had no significant effects. However, changes in root/shoot ratio were depending on N and interactions between CO2 concentration and N fertilization, while CO2 concentration had no impact on the root/shoot ratio.

Differences in biomass, root/shoot, root, and leaf morphology variables of A. mongolicum under ambient (400 ± 20 ppm) and elevated CO2 concentrations (800 ± 20 ppm) combined with control (N0), low (N1.2), and high (N3.6) nitrogen levels.

Figure 1: Differences in biomass, root/shoot, root, and leaf morphology variables of A. mongolicum under ambient (400 ± 20 ppm) and elevated CO2 concentrations (800 ± 20 ppm) combined with control (N0), low (N1.2), and high (N3.6) nitrogen levels.

Results of two-way ANOVAs for variables and the interaction of factors are shown in the figure, asterisks (*, **, ***) and ns denote significances at p < 0.05, p < 0.01, p < 0.001, and no significance, respectively. Different lowercase letters in vertical bars indicate significant differences among the treatments by Duncan’s test at p < 0.05. Asterisks (*, **, ***) and ns above vertical bars indicate significant difference for comparison between N0 and N1.2, N0 and N3.6 treatments in a CO2 and eCO2 at p < 0.05, p < 0.01, p < 0.001, and no significance, respectively, analyzed by Student’s test. Values are means ± SE (n = 9).

Leaf nitrogen concentration (LNC) and leaf area (LA) of A. mongolicum were significantly increased under both CO2 conditions at low and high N treatments (Figs. 1D and 1E), while the same treatments caused a significant reduction in SLA of A. mongolicum (Fig. 1F). High N supplement increased LNC and LA in A. mongolicum by 49.3% and 69% at aCO2, and by 53.9% and 65.7% at eCO2, while decreased 11.1% and 28.2% in the SLA under both CO2 conditions, respectively, compared to control treatment. Moreover, both CO2 concentration and N addition level had significant effects on the LA and SLA, but LNC was only affected by N-fertigation, the interaction between CO2 concentration and N levels had no significant effect on any one of these variables.

N-fertilization stimulated the root morphology of A. mongolicum under both aCO2 and eCO2, for TRL, a 150.1% and 100.4% increase at high N treatment (Fig. 1G), whereas153.9% and 144.7% stimulation in RSA with high N treatment at aCO2 and eCO2 (Fig. 1H), respectively. There was no significant difference in root N uptake capacity under aCO2, while it’s significantly increased with increasing N supplement under eCO2, with a 61.6% increase at high N level (Fig. 1I). Furthermore, both CO2 concentration and N-fertilization level had significant effects on the TRL and RSA, their interaction had only effect on RSA, while root N uptake capacity was only affected by N-fertigation.

Leaf gas exchange

Net photosynthetic rate (Pn) and transpiration rate (Tr) were significantly affected by CO2, N-fertigation, and the interaction between CO2 concentration and N-fertilization (Figs. 2A and 2C), while stomatal conductance (Gs) was significantly affected by N-fertilization and their interaction (Fig. 2B). The Pn of A. mongolicum increased by 80.8% and 26.9%, respectively, at high N treatment compared to that at the control treatment under both aCO2 and eCO2. N-fertigation promoted the increase of the Gs and Tr under ambient and elevated CO2, although not statistically significant in eCO2 condition. High N-fertigation increased the Gs and Tr of A. mongolicum by 107.4% and 109% at aCO2, respectively, compared to control treatments.

Differences in gas exchange parameters of A. mongolicum under ambient (400 ± 20 ppm) and elevated (800 ± 20 ppm) CO2 concentrations combined with control (N0), low (N1.2), and high (N3.6) nitrogen levels.

Figure 2: Differences in gas exchange parameters of A. mongolicum under ambient (400 ± 20 ppm) and elevated (800 ± 20 ppm) CO2 concentrations combined with control (N0), low (N1.2), and high (N3.6) nitrogen levels.

Results of two-way ANOVAs for variables and the interaction of factors are shown in the text, asterisks (*, **, ***) and ns denote significances at p < 0.05, p < 0.01, p < 0.001, and no significance, respectively. Different lowercase letters in vertical bars indicate significant differences among the treatments by Duncan’s test at p < 0.05. Asterisks (*, **, ***) and ns above vertical bars indicate significant difference for comparison between N0 and N1.2, N0 and N3.6 treatments in ambient CO2 and elevated CO2 at p < 0.05, p < 0.01, p < 0.001, and no significance, respectively, analyzed by Student’s test. Values are means ± SE (n = 9).

Total N, amino acid, protein, NR, and GS activity in root and leaf

The content of total nitrogen (TN), free amino acid, and protein in root and shoot was significantly affected by CO2 concentration and N-fertilization (Figs. 3A, 3B and 3C), the eCO2 increased TN of root and shoot by 50.6% and 58.3%, respectively, compared to aCO2. The TN of root and shoot grown under high N at aCO2 conditions was increased by 205.5% and 213.9%, respectively, but by 134.4% and 223.1% at eCO2, compared to that under control treatment. However, the interaction between N and CO2 did not have significant influences on these variables in both root and shoot, except for protein content in the root. When comparing the effect of N-fertigation on the free amino acid content, the increase observed in the root and leaf were 62.9% and 16.1% at aCO2 and 66.5% and 16.1% at eCO2 under high N treatment, respectively, compared to control treatments. The content of protein in leaf and root progressively increased from control to high N treatment, with high N treatment increasing protein content in leaf by 20.3% and 31.3% under both a CO2 and eCO2, respectively, compared to control treatment, and this increase was higher for eCO2 than aCO2 plants.

The effect of ambient (400 ± 20 ppm) and elevated (800 ± 20 ppm) CO2 concentrations combined with control (N0), low (N1.2), and high (N3.6) nitrogen levels on physiological traits in leaf and root of A. mongolicum.

Figure 3: The effect of ambient (400 ± 20 ppm) and elevated (800 ± 20 ppm) CO2 concentrations combined with control (N0), low (N1.2), and high (N3.6) nitrogen levels on physiological traits in leaf and root of A. mongolicum.

Results of two-way ANOVAs for variables and the interaction of factors are shown in the text, asterisks (*, **, ***) and ns denote significances at p < 0.05, p < 0.01, p < 0.001, and no significance, respectively. Different lowercase letters in vertical bars indicate significant differences among the treatments by Duncan’s test at p < 0.05. Asterisks (*, **, ***) and ns above vertical bars indicate significant difference for comparison between N0 and N1.2, N0 and N3.6 treatments in ambient CO2 and elevated CO2 at p < 0.05, p < 0.01, p < 0.001, and no significance, respectively, analyzed by Student’s test. Values are means ± SE (n = 3).

The ratio of nitrate to total nitrogen ( NO 3 /TN) in leaf decreased by 5.5% and 21.9% at high N under eCO2 and aCO2, respectively, compared to control treatment, while decreased 38.5% and 22.6% in root under both CO2 conditions. However, this decrease did not differ among N treatments under aCO2 (Fig. 3D). The NR in leaf and root was significantly increased with increasing N addition under both CO2 conditions. Compared to control treatment, high N treatment increased NR in leaf by 162.6% and 69.4% and by 67.8% and 96.7% in root under both a CO2 andeCO2 (Fig. 3E), respectively. There was an increase in GS activity in leaf and root for all the N treatments when exposure to both CO2 conditions, GS activity in leaf and root treated with high N treatment was 67.8% and 71.9% at eCO2, respectively, higher than that of control treatment and same N treatments at aCO2 conditions (Fig. 3F). In addition, except for NO 3 /TN in root only affected by N-fertilization, the NO 3 /TN, GS, and NR activity, across all leaf and root, was significantly affected by CO2 and N-fertigation, respectively, while the interaction between N and CO2 only influenced the NO 3 /TN of leaf and the NR in leaf and root.

Multivariate analysis of traits for growth and N nutrient of A. mongolicum

Constrained redundancy analysis (RDA) performed for A. mongolicum indicated that the first two axes explained 84.5% of the total variance (Fig. 4A). Root and shoot biomass showed positive correlations with LNC, RNU, Pn, RTN, STN, SPC, and RPC were positively related to LNC, Gs, Tr, RNU, L-GS, R-GS R-NR, L-NR; whereas, except for the above, RPC and RTN showed negative correlations with L- NO 3 /TN and R- NO 3 /TN, respectively (Table S1). These findings indicated that the growth and N nutrient content of A. mongolicum were principally influenced by root and leaf morphophysiological as well as biochemical characteristics under eCO2 and N-fertilization.

Redundancy analysis (RDA) and correlation network analysis to determine the relationships among morphophysiological and biochemical traits with biomass, total N content, and protein content of A. mongolicum.

Figure 4: Redundancy analysis (RDA) and correlation network analysis to determine the relationships among morphophysiological and biochemical traits with biomass, total N content, and protein content of A. mongolicum.

SLA, specific leaf area; LA, leaf area; LNC, leaf nitrogen content; Pn, net photosynthetic rate; Gs, stomatal conductance; Tr, transpiration rate; RL, root length; RSA, root surface area; RNU, N uptake capacity per unit of root length; L- NO 3 /TN, leaf unassimilated NO 3 ; R- NO 3 /TN, root unassimilated NO 3 ; L-NR, leaf nitrate reductase; R-NR, root nitrate reductase; L-GS, leaf glutamine synthetase; R-GS, root glutamine synthetase; RTN, root total nitrogen content; STN, shoot total nitrogen content; SB, shoot biomass; RB, root biomass; SPC, shoot protein content; RPC, root protein content.

To further reveal the correlations between the various traits and both growth and N nutrient, correlation networks were constructed (Figs. 4B and 4C). The results also showed that L-GS, Gs, Pn, and RNU was strongly and positively correlated with the shoot and root biomass (r > 0.5). Furthermore, the STN was strongly and positively correlated with the LNC, RNU, Tr, Gs, R-NR, L-NR, R-GS, and GS (r > 0.5); the RTN was strongly and positively correlated with the RNU, Tr, Gs, R-NR, L-NR, R-GS, L-GS, and GS (r > 0.5); while they were mediumly and negatively correlated with L- NO 3 /TN and R- NO 3 /TN, respectively (0.3 ≤ r < 0.5). Similar results have also been found in total protein content, the SPC and RPC were a strongly and mediumly positive correlation with the LNC, RNU, R-NR, R-NR, R-GS, and L-GS (r ≥ 0.3), and they were a small negative correlation with SLA and R- NO 3 /TN ( r < 0.3), respectively.

Discussion

This study clearly showed that the increase in atmospheric CO2 played a major role in A. mongolicum growth and N nutrition and that this role is determined by the available N. This interaction demonstrated that the responses of plants to the eCO2 and N-fertilization are dependent on the coordination between root and leaf development and are associated with the metabolic implications of the available N. Our study showed that although both CO2 conditions increased root and shoot biomass, eCO2 combined with the increased N supplement accelerated the effect of the eCO2 on the growth stimulation of plants, demonstrating that the promotion of A. mongolicum growth under the short-term enrichment of air CO2 is dependent on the available N (Figs. 1A and 1B). A previous study has shown that plant maximum growth response to eCO2 could be improved by the effects of eCO2 on the leaf carboxylation rate per unit leaf area or relative growth rate when plants received adequate N for growth (Leakey et al., 2009; Liu et al., 2012). Our growth stimulation can be partly explained by the increment in leaf photosynthesis that occurs when A. mongolicum is grown under eCO2 plus N-fertilization. The SLA expressed as the leaf area per unit of dry weight is one of the most widely used traits for describing leaf characteristics and their relationship with photosynthesis (Burgess & Huang, 2014). In our study, the combination of higher leaf N content and a lower SLA indicated that A. mongolicum developed under eCO2 plus N-fertilization conditions had a smaller leaf area per unit biomass or the leaves become thicker, which was consistent with some studies (Burgess & Huang, 2014; Lei et al., 2012; Liu et al., 2012). It was shown that tree species grown in elevated CO2 combined with increased N-fertilization had thicker leaves and a greater leaf weight per unit leaf area (Liu et al., 2012). It was suggested that the thicker leaves with increased mesophyll and cell N content of leaves may be a reason for the observed increase in photosynthetic rates (Jauregui et al., 2016). Our study confirmed the conclusion that leaf area per unit biomass decreased and the photosynthetic rate increased upon exposure to 800 µmol mol−1 CO2 (Figs. 1F and 2A). Furthermore, leaf thickness has also been shown to have a close relationship with the transpiration rate wherein thicker leaves have greater transpiration efficiency, which was to be beneficial to the nutritional uptake of plants (Giuliani et al., 2013), increased N content in the leaves in eCO2 could also alleviate photosynthetic acclimation to CO2 enrichment, enhancing photosynthetic rates of leaves (Vicente et al., 2015).

The increased shoot biomass in A. mongolicum was mainly due to enhanced leaf photosynthesis, as discussed above. Likewise, roots, such as root morphology and architecture, also played an important role in plant growth responses to eCO2 (Burgess & Huang, 2014). A review described the effects of eCO2 on plant root systems and reported that both the root number and root length are significantly increased due to eCO2 and other interacting factors, such as warming, precipitation, and nutrient availability (Leakey et al., 2009). In a comprehensive review, it was also reported that other structural aspects of root growth tend to increase when plants are maintained at eCO2 levels, including the volume, branching, and relative growth rate, whereas reports of changes to the root N uptake capacity due to eCO2 level are lacking (Rogers, Runion & Krupa, 1994). As expected, root length, root surface area, and N uptake capacity of A. mongolicum grown under at eCO2 various N conditions were significantly increased compared to that at the same N treatment under aCO2 (Figs. 1G and 1H), and the degree of increase relative to ambient controls was highly dependent upon the N availability. The stimulation of root growth can have a substantial effect on plant growth due to greater soil volume exploration in deeper soil strata. Most interestingly, with the increase in N treatments, the response of the root/shoot ratio of A. mongolicum to changes in CO2 concentrations was contrary to the finding of studies with increases in R/S previously reported (Cohen et al., 2019). However, this is less surprising when we considered the available resources since increased root growth requires both C and N inputs. It has been reported that plants with adaptation to low N treatment often allocate relatively more biomass to roots and enhanced root nutrients uptake capacity, consequently, eCO2 enhances root growth more than shoot growth(Lei et al., 2012; Liu, Tian & Zhang, 2016). With the high N treatment, however, the increase in available C due to increased photosynthesis, coupled with a non-limiting N supply, made it possible to increase the shoot growth substantially (Vicente et al., 2015). Root proliferation through increased length or surface area serves as a critical adjustment function for water or nutrients uptake and adaptation mechanisms to an increased rate of carbon and nitrogen cycling have been implicated in enhancing plant productivity or nutritional quality in an agro-ecosystem (BassiriRad, Gutschick & Lussenhop, 2001; Leakey et al., 2009; Liu et al., 2012).

It is well known that eCO2 induces stomatal closure can decline Gs and Tr of plants while decreasing the transpiration-driven mass flow of N, consequently decreasing N uptake by roots (Jayawardena et al., 2021; Li, Wang & Liu, 2021; McGrath & Lobell, 2013). Consistent with this, the results from the present study showed that eCO2 significantly decreased Gs and Tr compared with aCO2 (Figs. 2B and 2C), however, high N supply increased Gs and Tr to approximately 1.5 and 1.6 times that of control N treatments, respectively, regardless of the CO2 treatments. Accumulated evidence has revealed that increasing the nutrient supply from low to high can increase plant N uptake by increasing Gs as well as Tr of plants (De Oliveira et al., 2012; Lotfiomran, Kohl & Fromm, 2016), consistent with the results from the present study. Therefore, we suggest that the increase of both stomatal Gs and Tr by adding N under eCO2 could weaken the negative effect of eCO2 in decreasing the transpiration-driven mass flow of N.

The protein decrease under eCO2 was not only related to the external growth development limitations to N uptake but also internal signals arising from the progress imposed by physiological metabolism, most prominently inhibition of NO 3 assimilation (Bloom et al., 2014). The NO 3 /total N ratio was used as a surrogate for plant unassimilated NO 3 and negatively correlated with total protein in plant tissues (Bahrami et al., 2017; Jayawardena et al., 2021). The present study showed that increasing N-fertilization did not influence the leaf NO 3 to total N ratio at aCO2, but it decreased the leaf NO 3 to total N ratio at eCO2 and root NO 3 to total N ratio under both CO2 conditions (Fig. 3D), and shoot and root protein content negatively correlated with L- NO 3 /TN and R- NO 3 /TN, respectively (Figs. 4A and 4B), indicating N-fertilization could alleviate the effects of eCO2 on inhibition of NO 3 photo-assimilation of A. mongolicum. The proportion of unassimilated NO 3 was declined, either by assimilation of NO 3 or by an increase in total N, or both (Bahrami et al., 2017). With increased N supply, the total N content and the free amino acids in leaves and roots of A. mongolicum significantly increased when plants were exposed to two CO2 conditions (Figs. 3A and 3B), suggesting the above both occurred. Supporting the possibility of enhancement of NO 3 assimilation, we saw an increase in the concentrations of N-assimilatory proteins, such as NR and GS activities (Figs. 3E and 3F), at eCO2 and N-fertilization, and positively correlated with LPC and RPC (Fig. 4B), which is in agreement with previous studies (Bahrami et al., 2017; Jauregui et al., 2016; Jayawardena et al., 2017). Croy & Hageman (1970), who used increased NR activity as a proxy for a decline of unassimilated NO 3 , explained a positive correlation between leaf NR activity and grain protein in wheat. Notably, the NR and GS activity in leaves and roots were able to maintain relatively similar levels among all same treatment combinations; therefore, we inferred that the proportion of NO 3 in total N in roots which appeared to be more highly than in leaves might be mainly because of the large increase in total N content in leaves. Furthermore, as previous studies discussed, the positive effect of eCO2 on plants growth during different N sources was significantly correlated with NO 3 uptake and assimilation (Domiciano et al., 2020; Jayawardena et al., 2017). Taken together, our results suggest that N-fertilization could alleviate inhibition of NO 3 assimilation under eCO2 by increasing concentrations of N-assimilatory proteins and enhancing NO 3 assimilation, consequently, improving productivity and quality of A. mongolicum.

Conclusions

N-fertigation causes photosynthesis improvement via increased leaf N content and reduced specific leaf area, resulting in enhanced stimulation for growth by eCO2, but this stimulation does not affect the N nutrition of A. mongolicum under eCO2. Under sufficient N supply, the reduced proportion of NO 3 in total leaf and root N, increased leaf N content, root length, and Tr are not only associated with N concentrations in vegetative plant parts, but also with the total protein content of A. mongolicum grown at eCO2. Therefore, with the application of effective management measures of N-fertilization, grass productivity and quality may enhance under the CO2 levels anticipated during the end of this century.

Supplemental Information

Supplemental Figure and Table

DOI: 10.7717/peerj.14273/supp-1
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