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Article

Emergent Plants Improve Nitrogen Uptake Rates by Regulating the Activity of Nitrogen Assimilation Enzymes

1
College of Ecology and Environment, Central South University of Forestry and Technology, Changsha 410004, China
2
Institute of Agricultural Resources and Environment, Ningxia Academy of Agriculture and Forestry Science, Yinchuan 750002, China
3
Huitong National Field Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystem in Hunan Province, Huaihua 438107, China
*
Author to whom correspondence should be addressed.
Plants 2025, 14(10), 1484; https://doi.org/10.3390/plants14101484
Submission received: 19 April 2025 / Revised: 10 May 2025 / Accepted: 14 May 2025 / Published: 15 May 2025
(This article belongs to the Special Issue Water and Nitrogen Management in the Soil–Crop System (3rd Edition))

Abstract

:
Effectively utilizing aquatic plants to absorb nitrogen from water bodies and convert it into organic nitrogen via nitrogen assimilation enzyme activity reduces water nitrogen concentrations. This serves as a critical strategy for mitigating agricultural non-point source pollution in the Yellow River Basin However, emergent plants’ rate and mechanism of uptake of different forms of nitrogen remain unclear. This study determined the nitrogen uptake rates, nitrogen assimilation activities, root properties, and photosynthetic parameters of four emergent plants, Phragmites australis, Typha orientalis, Scirpus validus, and Lythrum salicaria, under five NH4+/NO3 ratios (9:1, 7:3, 5:5, 3:7, and 1:9) using 15N hydroponic simulations. The results demonstrated that both the form of nitrogen and the plant species significantly influenced the nitrogen uptake rates of emergent plants. In water bodies with varying NH4+/NO3 ratios, P. australis and T. orientalis exhibited significantly higher inorganic nitrogen uptake rates than S. validus and L. salicaria, increasing by 11.83–114.69% and 14.07–130.46%, respectively. When the ratio of NH4+/NO3 in the water body was 9:1, the uptake rate of inorganic nitrogen by P. australis reached its peak, which was 729.20 μg·N·g−1·h−1 DW (Dry Weight). When the ratio of NH4+/NO3 was 5:5, the uptake rate of T. orientalis was the highest, reaching 763.71 μg·N·g−1·h−1 DW. The plants’ preferences for different forms of nitrogen exhibited significant environmental plasticity. At an NH4+/NO3 ratio of 5:5, P. australis and T. orientalis preferred NO3-N, whereas S. validus and L. salicaria favored NH4+-N. The uptake rate of NH4+-N by the four plants was significantly positively correlated with glutamine synthetase and glutamate synthase activities, while the uptake rate of NO3-N was significantly positively correlated with NR activity. These findings indicate that the nitrogen uptake and assimilation processes of these four plant species involve synergistic mechanisms of environmental adaptation and physiological regulation, enabling more effective utilization of different nitrogen forms in water. Additionally, the uptake rate of NH4+-N by P. australis and T. orientalis was significantly positively correlated with glutamate dehydrogenase (GDH), suggesting that they are better adapted to eutrophication via the GDH pathway. The specific root surface area plays a crucial role in regulating the nitrogen uptake rates of plants. The amount of nitrogen uptake exerted the greatest total impact on the nitrogen uptake rate, followed by root traits and nitrogen assimilation enzymes. Therefore, there were significant interspecific differences in the uptake rates of and physiological response mechanisms of emergent plants to various nitrogen forms. It is recommended to prioritize the use of highly adaptable emergent plants such as P. australis and T. orientalis in the Yellow River irrigation area.

1. Introduction

Nitrogen (N) plays a crucial role in plants’ physiological metabolism, growth, and development, as well as in the nutrient cycling of ecosystems [1]. As a key component of aquatic ecosystems, aquatic plants are capable of efficiently absorbing N from water and assimilating it into organic N, such as amino acids and proteins, via N assimilation enzyme activity. This process not only supports plants’ growth and metabolism, but also contributes to reducing N concentrations in the water [2]. Consequently, aquatic plants are essential for N cycling and water quality improvement in aquatic systems, making them a significant current focus of research [3]. Different forms of N significantly influence the efficiency of N metabolism and the ecological functions of plants by modulating the activities of key enzymes that are involved in N assimilation [4]. Plants convert inorganic N into organic N via enzyme systems, including nitrate reductase (NR), nitrite reductase (NiR), glutamine synthetase (GS), glutamate synthase (GOGAT), and glutamate dehydrogenase (GDH). This process is fundamental to N uptake and assimilation in plants [5]. As illustrated in Figure 1, the N uptake and assimilation processes in plants proceed as follows: Aquatic plants are proficient at directly absorbing dissolved nitrogenous compounds from the substrate through their roots, especially ammonium nitrogen (NH4+-N) and nitrate nitrogen (NO3-N). The absorbed N is subsequently transported to various plant organs, such as stems and leaves. Through enzymatic activities associated with N assimilation, these inorganic N forms are converted into organic molecules, such as amino acids and proteins [6]. This process not only facilitates nutrient storage within the plant, but also significantly contributes to its growth and metabolism, thereby reducing nitrogenous pollutants in aquatic environments [2,7]. The primary biochemical pathways that are involved include the following: (1) Nitrate reduction, which occurs when NR in the cytoplasm reduces nitrate ions (NO3) to nitrite ions (NO2), which are further reduced to ammonium ions (NH4+) by NiR located in the chloroplasts and plastids of root cells. (2) Ammonium assimilation, a process in which GS in the cytoplasm and plastids catalyzes the reaction between NH4+ and glutamic acid (Glu) to form glutamine (Gln). Subsequently, GOGAT in the chloroplasts and root cells catalyzes the reaction between Gln and α-ketoglutaric acid (α-KG) to produce two molecules of Glu. (3) The regulation of ammonium availability, which occurs under a high ammonium concentration, during which GDH in the mitochondria and cytoplasm facilitates the binding of α-KG with NH4+ to generate Glu. Conversely, during ammonium starvation, GDH can catalyze the reverse reaction, decomposing Glu into α-KG and NH4+ [8,9].
The activities of the key enzymes that are involved in N assimilation in aquatic plants are influenced by both the N forms in the water and environmental factors. NO3-N predominantly induces NR and NiR activities [10], while NH4+-N predominantly induces GS, GOGAT, and GDH activities [11,12]. NR serves as a rate-limiting enzyme for the assimilation of NO3-N, catalyzing the reduction of NO3 to NO2. NiR is a key enzyme that reduces NO2 to NH4+, and its activity is positively correlated with NR activity [13]. Under NO3-N supply conditions, the NR activity is relatively high. However, in high NH4+ environments, the activities of both NR and NiR may be inhibited [14]. Together, GS and GOGAT constitute the GS/GOGAT cycle, which is a critical metabolic pathway for plants to assimilate NH4+ into organic N [15]. Due to the synergistic effects within this cycle, GOGAT activity is usually positively correlated with GS activity, and both GS and GOGAT activities are generally higher in plants when NH4+-N is the primary N source [16]. The GDH pathway is one of the key pathways involved in N and energy metabolism. GDH activity may significantly increase under stress conditions, serving as an important mechanism for ammonium detoxification in plants [12].
The migration, transformation, and bioavailability of different N forms (NH4+-N, NO3-N, etc.) in aquatic environments vary, potentially driving aquatic plant roots to adopt distinct strategies for N uptake and assimilation to sustain normal growth and development [17]. These pathways and strategies are influenced by a combination of factors, such as the plant species, N morphology in the environment, and ammonium-to-nitrate ratio (NH4+/NO3) [18]. Different plant species demonstrate distinct nutrient preferences and utilization strategies across varying habitats [17]. Research has indicated that the absorption of amino acids and utilization of N in plants are influenced by the type of N source and exhibit a certain degree of adaptability to environmental changes in N forms [19]. In sandy constructed wetlands, varying NH4+/NO3 ratios directly influence the plant diversity, N removal efficiency, and ecosystem stability [20]. Increasing the proportion of NH4+ can enhance the GOGAT and GS activities in plants that are involved in NH4+ assimilation, thereby accelerating N metabolism [11].
Different N forms exert significant regulatory effects on the morphology and function of roots. NH4+ generally enhances the accumulation of root biomass, leading to a significant increase in the total root length, root surface area, and lateral root density [21]. The strategy of sacrificing the taproot and enhancing lateral root development may be linked to the higher energy demands for NO3 assimilation [22], which compels plants to enhance their N capture efficiency by increasing their root absorption area. Modifying the specific root length (SRL) and specific root surface area (SRA) to adjust their nutrient uptake capacity constitutes a key adaptive mechanism for plants in response to environmental changes [23]. In addition, N is a crucial constituent of chlorophyll and photosynthetic enzymes, and varying N forms significantly impact plants’ photosynthetic efficiency [24].
Although the uptake rates and physiological characteristics of different N forms in aquatic plants have been studied, there is still a paucity of reports regarding the regulatory mechanisms of N metabolism under mixed-N (NH4+-N and NO3-N) conditions. Specifically, the coupling mechanism between the activities of the key enzymes that are involved in N assimilation, root traits, photosynthetic characteristics, and N uptake rates remains to be fully elucidated. Consequently, it is crucial to investigate the uptake rates and physiological synergistic mechanisms of NH4+-N and NO3-N uptake by aquatic plants in aquatic environments. The Ningxia Yellow River irrigation area serves as a crucial irrigation zone and commercial grain production base in northwest China, contributing over two-thirds of the output value of grain crops and agriculture in Ningxia. It also plays a significant role in driving regional economic development [25]. Long-term extensive agricultural management practices, such as the overuse of chemical fertilizers and excessive irrigation, have led the water bodies in the Yellow River Basin to face an increasingly severe issue of agricultural non-point source pollution [26]. Aquatic phytoremediation technology for the removal of excess N from agricultural water bodies exhibits a remarkable purification efficiency and resource recycling potential [27]. This constitutes a pivotal strategy for controlling agricultural non-point source pollution in the Yellow River irrigation area and preventing and alleviating potential pollution risks to the Yellow River [28]. Furthermore, it signifies an emerging priority in the advancement of ecological and environmental research and pollution prevention and control technologies within the basin [29]. Emergent plants are a category of aquatic plants whose roots are embedded in mud, with the lower part of the stem or base being submerged in water and photosynthetic structures, such as stems and leaves, protruding above the water surface [30]. These plants display a wide ecological range and fulfill multiple ecological functions, including wind resistance, pollution tolerance, decontamination capacity, and the alleviation of eutrophication in aquatic ecosystems. Furthermore, they exhibit superior resilience compared with floating and submerged plants [31] and are widely distributed across the wetlands in northwest China’s arid region. The synergistic effect of pollutant removal that can be achieved through the absorption and assimilation capabilities of emergent plants, in conjunction with the degradation and transformation activities of rhizosphere microorganisms [32], constitutes an environmentally friendly technology that is characterized by low resource input, minimal energy consumption, and the prevention of secondary pollution. This approach has emerged as a pivotal strategy for ensuring sustained water quality in irrigation regions.
Therefore, in this study, four emergent plants, P. australis, T. orientalis, S. validus, and L. salicaria, were used as research objects. In the experimental water, which was maintained at a constant N concentration, five NH4+/NO3 ratios (9:1, 7:3, 5:5, 3:7, and 1:9) labeled with 15N isotopes were established. The N uptake rate, N assimilation enzyme activity, root properties, and photosynthetic parameters of the plants were measured to verify the following two hypotheses: (1) different forms of N significantly affect the N uptake rate and N-assimilation-related enzyme activities of emergent plants; and (2) the main factors influencing the different N uptake rates of emergent plants are the plant’s root attributes, N assimilation enzyme activity, and photosynthetic parameters. This paper analyzes the responses of the N uptake rate and physiological characteristics of emergent plants to different forms of N (NH4+-N, NO3-N); clarifies the adaptation strategies of plants to N forms; identifies the removal mechanism of N pollution by emergent plants; provides a scientific basis for optimizing the efficient purification of emergent plants and using them to remediate N pollution in water; and deepens our understanding of the correlation mechanism of “nitrogen-form–plant-species–nitrogen-uptake rates” in the process of N removal from water.

2. Results

2.1. Nitrogen Uptake Rates of Emergent Plants in Water with Different NH4+/NO3 Ratios

The N form, plant species, NH4+/NO3 ratio, and their interactions significantly affected the N uptake rates of the four emergent plants (p < 0.001). Among these factors, the N form was the most influential, followed by the plant species (Table 1).
As illustrated in Figure 2, in the experimental water with different NH4+/NO3 ratios, the uptake rates of inorganic N of P. australis and T. orientalis were significantly higher than those of the other two plant species (p < 0.05). When the NH4+/NO3 ratio was 9:1, the uptake rate of inorganic N peaked at 729.20 μg N·g−1·h−1 DW for P. australis and 477.36 μg N·g−1·h−1 DW for S. validus. In contrast, when the NH4+/NO3 ratio was 5:5, the highest uptake rates of inorganic N were observed in T. orientalis (763.71 μg N·g−1·h−1 DW) and L. salicaria (609.92 μg N·g−1·h−1 DW).
When NH4+-N was dominant (NH4+/NO3 ratios of 9:1 and 7:3), P. australis, T. orientalis, S. validus, and L. salicaria exhibited a preference for absorbing NH4+-N, and the ratios of NH4+-N to NO3-N uptake rates were all greater than 1. When the NH4+/NO3 ratio was 1:9, the four emergent plants preferred to absorb NO3-N, and the ratios of NH4+-N to NO3-N uptake rates were all less than 1. This indicates that the inorganic N uptake rates of these four species exhibit a certain degree of environmental plasticity. When the NH4+/NO3 ratio was 5:5, the four plants showed varying preferences for different N forms. P. australis and T. orientalis preferred NO3-N absorption, while S. validus and L. salicaria favored NH4+-N absorption.

2.2. Nitrogen Assimilation Enzyme Activities of Emergent Plants in Water with Different NH4+/NO3 Ratios

As illustrated in Figure 3, with increasing NH4+/NO3 ratios, the contents of soluble protein (SP) and activity of NR in the four emergent plants decreased. In contrast, the GS activity increased, while the GDH activity initially increased and then decreased. There was no obvious regularity in the changes in NiR and GOGAT activities. When the NH4+/NO3⁻ ratio was 1:9, the SP contents in T. orientalis’s stems, leaves, and roots reached their highest levels, at 16.96 mg·g−1 FW (Fresh Weight) in the stems and leaves and 14.83 mg·g−1 FW in the roots. Similarly, the NR activities in T. orientalis’s stems, leaves, and roots were also the highest, at 43.08 μmol·h−1·g−1 FW in the stems and leaves and 46.62 μmol·h−1·g−1 FW in the roots. At an NH4+/NO3⁻ ratio of 9:1, the GS activities in P. australis’s stems and leaves, as well as T. orientalis’s roots, were the highest, reaching 39.52 μmol·h−1·g−1 FW in the stems and leaves and 27.34 μmol·h−1·g−1 FW in the roots. When the NH4+/NO3⁻ ratio was 7:3, the GDH activities in S. validus’s stems and leaves and L. salicaria’s roots were the highest, at 66.15 μmol·h−1·g−1 FW in the stems and leaves and 78.62 μmol·h−1·g−1 FW in the roots. Furthermore, when the NH4+/NO3⁻ ratio was 5:5, the NiR activity in T. orientalis’s stems and leaves was relatively high, at 44.53 μmol·h−1·g−1 FW. At an NH4+/NO3⁻ ratio of 7:3, the NiR activity in T. orientalis’s roots was higher, at 36.83 μmol·h−1·g−1 FW. Lastly, when the NH4+/NO3⁻ ratio was 7:3, the GOGAT activities in P. australis’s stems and leaves, as well as T. orientalis’s roots, were the highest, at 37.80 μmol·h−1·g−1 FW in the stems and leaves and 22.80 μmol·h−1·g−1 FW in the roots.
At varying NH4+/NO3 ratios, the contents of SP in the stems and leaves of the four emergent plants, as well as the activities of NiR, GS, and GOGAT, were all higher than those in the roots. Conversely, the GDH activities in the stems and leaves were lower than those in the roots for all four species. The NR activity in the stems and leaves of P. australis exceeded that in the roots, whereas in T. orientalis, the NR activity was lower in the stems and leaves than in the roots. The NR activities of S. validus and L. salicaria were sometimes higher in the stems and leaves and sometimes in the roots (Figure 3).

2.3. Influencing Factors on Nitrogen Uptake Rates of Different Emergent Plants

As shown in Figure 4a, the NH4+-N uptake rate of P. australis exhibited a significantly positive correlation with the NH4+/NO3 ratio, NH4+-N uptake amount, GS activity, GOGAT activity, and GDH activity (p < 0.05), while it was significantly negatively correlated with the NO3-N uptake amount, SP content, NR activity, and biomass (p < 0.05). The NO3-N uptake rate demonstrated a significantly positive correlation with the NO3-N uptake amount, SP content, and NR activity (p < 0.01), while it was significantly negatively correlated with the NH4+-N uptake amount, NH4+/NO3 ratio, GS activity, GOGAT activity, and GDH activity (p < 0.05). Additionally, the inorganic N uptake rate was significantly positively correlated with the specific root surface area (SRA) and total nitrogen (TN) content (p < 0.05), whereas it was negatively correlated with the biomass and root tissue density (RTD) (p < 0.05).
As shown in Figure 4b, the NH4+-N uptake rate of T. orientalis exhibited a significantly positive correlation with the NH4+/NO3 ratio, NH4+-N uptake amount, GS activity, GOGAT activity, and GDH activity (p < 0.05). Conversely, it was significantly negatively correlated with the NO3-N uptake amount, SP content, and NR activity (p < 0.01). The NO3-N uptake rate demonstrated a significant positive correlation with the NO3-N uptake amount, SP content, and NR activity (p < 0.01), while it was significantly negatively correlated with the NH4+-N uptake amount, NH4+/NO3 ratio, GS activity, GOGAT activity, and GDH activity (p < 0.05). Additionally, the uptake rate of inorganic N was significantly positively correlated with the SRA and specific root length (SRL) (p < 0.05), whereas it was negatively correlated with the RTD, biomass, and root diameter (AD) (p < 0.05).
As illustrated in Figure 4c, the NH4+-N uptake rate of S. validus showed a significantly positive correlation with the NH4+/NO3 ratio, GS activity, GOGAT activity, GDH activity, NH4+-N uptake amount, SRL, and SRA (p < 0.05). In contrast, it exhibited a significantly negative correlation with the NO3-N uptake amount, SP, NR, RTD, and AD (p < 0.05). Furthermore, the NO3-N uptake rate was significantly positively correlated with the NO3-N uptake amount and NR activity (p < 0.05), whereas it was significantly negatively correlated with the GS activity, GOGAT activity, and GDH activity (p < 0.05). Lastly, the inorganic N uptake rate demonstrated a significantly positive correlation with the NH4+/NO3 ratio, GS activity, SRA, and SRL (p < 0.05), while it was significantly negatively correlated with the SP content, RTD, NR activity, NiR activity, and AD (p < 0.05).
As illustrated in Figure 4d, the NH4+-N uptake rate of L. salicaria showed a significantly positive correlation with the NH4+/NO3 ratio, NH4+-N uptake amount, GS activity, and GOGAT activity (p < 0.05), whereas it exhibited a significantly negative correlation with the NO3-N uptake amount, SP content, and NR activity (p < 0.01). The NO3-N uptake rate was significantly positively correlated with the NO3-N uptake amount, SP content, and NR activity (p < 0.01), while it was significantly negatively correlated with the NH4+/NO3 ratio, NH4+-N uptake amount, GS activity, and GOGAT activity (p < 0.01). Furthermore, the inorganic N uptake rate demonstrated a significantly positive correlation with the NH4+-N uptake amount and GS activity (p < 0.05), but it was significantly negatively correlated with the SP content and NR activity (p < 0.05).

2.4. The Main Driving Factors of the Nitrogen Uptake Rates of Emergent Plants

The results of our redundancy analysis (RDA) (Figure 5) revealed that the interpretation rates of the first and second axes were 57.81% and 34.30%, respectively, with a cumulative interpretation rate of 92.11%. The main indicators influencing the N uptake rates of emergent plants, ranked from most to least significant, were as follows: the NO3-N uptake amount in stems and leaves, TN content in stems and leaves, NH4+-N uptake amount in stems and leaves, SRA, NH4+-N uptake amount in roots, NR activity in stems and leaves, NiR activity in roots, SP content in stems and leaves, SP content in roots, and NR activity in roots.
Among these factors, the NH4+-N uptake rate exhibited a significantly positive correlation with the TN content in stems and leaves, NH4+-N uptake amount, and SRA (p < 0.05). The NO3-N uptake rate demonstrated a significantly positive correlation with the NO3-N uptake amount in stems and leaves, TN content in stems and leaves, SRA, NR activity in stems and leaves, NiR activity in roots, and SP content (p < 0.05). Furthermore, the inorganic N uptake rate was significantly positively correlated with the NO3-N uptake amount in stems and leaves, TN content in stems and leaves, NH4+-N uptake amount, SRA, NR activity, NiR activity in roots, and SP content (p < 0.05).
The partial least squares path model (PLS-PM) was utilized to investigate the potential direct and indirect effects of the N uptake amount, root traits, N assimilation enzymes, and photosynthetic parameters on the N uptake rates of emergent plants (Figure 6). The PLS-PM analysis results demonstrated that the N uptake amount and root traits had a direct and significantly positive influence on the N uptake rate (p < 0.001), with path coefficients of 0.786 and 0.460, respectively. The plants’ TN contents contributed more than 0.8 to the N uptake amount, while the SRL and SRA accounted for over 0.8 of the influence on root traits. Furthermore, the N assimilation enzymes had a direct and significant negative effect on the N uptake rate (p < 0.01), with a path coefficient of −0.194. The effects of NiR, SP, and NR on the N assimilation enzymes were all greater than 0.8. In addition, the root traits showed a direct and significant positive effect on the N assimilation enzymes, while the N assimilation enzymes also had a direct and significant positive effect on the N uptake (p < 0.001). The main effects analysis of the PLS-PM indicated that the N uptake amount exerted the greatest total impact on the N uptake rate, followed by root traits and N assimilation enzymes (Figure 6).

3. Discussion

3.1. Effects of Different Forms of Nitrogen on Nitrogen Uptake Rate of Emergent Plants

Plant growth is optimized under a balanced supply of NH4+-N and NO3-N, and the efficiency of N acquisition is determined by the ionic availability in the habitat [17,33]. In this study, we have demonstrated that both the form of N and the plant species significantly affected the N uptake rate of four emergent plants in the Yellow River irrigation area (p < 0.001) (Table 1). When NH4+-N was predominant, the plants showed a clear preference for NH4+-N absorption. When NO3-N was predominant, the plants favored the uptake of NO3-N (Figure 2). These results suggest that different N forms significantly affected the N uptake rates of these emergent plants, and the N uptake rates exhibited a certain degree of environmental adaptability. These findings align with those reported by Daryanto et al. (2019) [34], thus confirming part of our first hypothesis. This phenomenon can be explained based on the following three aspects:
(1)
Plants require different levels of energy for the absorption and assimilation of various N forms, and the associated metabolic pathways differ accordingly. NH4+ is directly involved in amino acid synthesis and requires less energy, thus eliminating the additional energy expenditure that is associated with NO3 reduction [22]. While the absorption and assimilation of NO3 demand more energy, its low toxicity reduces the metabolic burden on plants [35]. Plants primarily rely on ammonium transporters for NH4+ uptake, whereas nitrate transporters are essential for NO3 uptake. Consequently, the predominant N form in the water may enhance the uptake of that specific N form by modulating the expression levels of the corresponding transporters [36].
(2)
Changes in environmental factors directly or indirectly influence plants’ physiological activities, thereby modulating their N uptake rates. For example, high temperatures significantly reduce the relative growth rate, N uptake rate, NR activity, and photosynthetic parameters of aquatic plants [37]. Factors such as varying light intensities, nutrient concentrations, and hydraulic loads also influence the absorption efficiency of plants [38].
(3)
To adapt to varying environmental conditions, aquatic plants modulate their N uptake, assimilation, and transformation via their growth traits (e.g., the root structure and photosynthetic capacity) and interactions with microorganisms. This not only meets their growth demands, but also significantly decreases the N concentrations in water bodies, thereby reflecting a certain degree of environmental adaptability [39,40]. Studies have shown that aquatic plants can increase their direct N uptake and induce changes in N cycling and their microenvironment by altering their root morphology, growth characteristics, leaf biomass, and rhizosphere conditions, thus reducing N pollution in riparian waters [41]. The N assimilation efficiency of aquatic plants is closely linked to their root-to-shoot ratio. Aquatic plants indirectly affect N removal by microorganisms through modifying tailwater quality parameters and can also mediate N transformation by modulating bacterial community structures [42]. In addition, as the N load in sewage increases, plants’ N preference shifts from NH4+-N to NO3-N. The elevated NR activity that is detected in downstream river plants provides evidence for their enhanced nitrate assimilation capacity and preference [17].

3.2. Effects of Different Forms of Nitrogen on Nitrogen Assimilation Enzyme Activity in Emergent Plants

Different forms of N substantially influence the activities of N-assimilation-related enzymes in plants. Through these complex adaptive adjustments, plants sustain their growth and development under varying N supply conditions [14]. In this study, different forms of N significantly affected the activity of N-assimilation-related enzymes in plants (Figure 3), which is largely in agreement with the findings reported by Chen et al. (2024) [43] and supports the second part of our first hypothesis. We found that, as the NH4+/NO3 ratio in the water increased, the NR and SP contents in the emergent plants decreased, whereas the GS activity increased. Moreover, the GDH activity exhibited an initial increase, followed by a decrease. This phenomenon may be explained by means of three potential factors, as follows:
(1)
NR is a key enzyme involved in the assimilation of NO3 by plants, and its activity is influenced by the form of N. Under varying N supply conditions, plants from different ecological groups exhibit significantly different NR activities [44]. When NH4+-N is supplied, the NR activity in plant roots remains low. In contrast, when NO3-N is supplied, the NR activity in plant roots is significantly higher. This may be attributed to NH4+ competing with NO3 for absorption sites, thereby influencing the uptake of NO3 and the associated NR activity of plants [45]. In addition, NO3 can be assimilated in the roots and subsequently transported to the aerial parts of the plant for further assimilation. This process facilitates the rational and efficient utilization of the carbon skeleton across the entire system. Notably, NR acts as a rate-limiting enzyme, and its activity plays a critical role in regulating N metabolism and protein synthesis [46]. In this study, an increase in the NH4+/NO3 ratio was found to be associated with decreased NR activities and reduced SP contents in the four emergent plants, thereby providing further support for the findings of this study.
(2)
GS plays a crucial role in plants’ N metabolism, primarily by mediating the assimilation of NH4+ [47]. Elevated NH4+ levels stimulate GS activity, leading to more efficient conversion of NH4+ into organic N compounds [11]. Studies have demonstrated that plants exhibit significant growth advantages and competitiveness under conditions with a high NH4+/NO3 ratio. This can be attributed to their efficient uptake of NH4+ and the increased activity of enzymes such as GS [4]. In addition, the genes that are most significantly influenced by NO3 and NH4+ treatment were those that are involved in glutamine metabolism, further supporting the link between changes in GS activity and N assimilation in plants [48]. In this study, an increase in the NH4+/NO3 ratio was correlated with enhanced GS activities in the four emergent plants.
(3)
GDH plays a crucial role in NH4+ assimilation and glutamate synthesis in plants, thereby modulating the balance of N metabolism and, in turn, significantly contributing to the plants’ growth, development, and stress adaptation [12]. As the NH4+/NO3 ratio increases, plants may mitigate the adverse effects of NH4+ by enhancing their GDH activity; however, when this ratio becomes excessively high, the GDH activity may decline due to impaired energy supply and a disrupted metabolic balance [11].

3.3. Factors Influencing Nitrogen Uptake Rate of Different Emergent Plants

The N uptake rates of different plants are closely linked to their root traits and the activity of N assimilation enzymes. These factors interact synergistically, thus affecting the efficiency of N uptake and utilization in plants [49]. In this study, the NH4+-N uptake rates of the four emergent plants were significantly positively correlated with the NH4+/NO3 ratio, NH4+-N uptake amount, GS activity, and GOGAT activity (p < 0.05), whereas they were significantly negatively correlated with the NO3-N uptake amount, SP content, and NR activity (p < 0.05). Moreover, the NO3-N uptake rate exhibited a significant positive correlation with the NO3-N uptake amount and NR activity (p < 0.05), while showing a significant negative correlation with the GS activity and GOGAT activity (p < 0.05) (Figure 4). These results demonstrated that the four emergent plants were influenced by the synergistic effects of environmental adaptation and physiological regulation during N uptake and assimilation. Specifically, a higher NH4+-N concentration in the water enhanced the activities of GS and GOGAT and increased the NH4+-N uptake amount, thereby improving the efficiency of NH4+-N uptake and assimilation. In contrast, in NO3-N-enriched water, the plants upregulated the NR activity to enhance their NO3-N uptake capacity, and this synergistic mechanism facilitated more efficient utilization of different forms of N in the water [14,50].
The rate of NH4+-N uptake by plants was significantly and positively correlated with the GS and GOGAT activities. This relationship can be explained using the following perspectives: (1) The GS/GOGAT cycle represents the primary pathway for NH4+ assimilation in plants, with GS catalyzing the synthesis of glutamine. Subsequently, GOGAT converts glutamine and α-ketoglutarate into glutamic acid, which serves as a critical precursor for the biosynthesis of nitrogenous compounds, including proteins and nucleic acids, and variations in GS activity can serve as a signaling cue for N uptake, thereby regulating N acquisition and utilization in plants [15]. (2) Elevated activities of GS and GOGAT not only enhance NH4+ uptake and assimilation, but also provide additional N for plant growth, facilitating the synthesis of biological macromolecules such as proteins and nucleic acids, and thus promoting the growth and development of plants [11]. (3) By regulating the expression of key enzymes that are involved in N metabolism, such as GS and GOGAT, plants can effectively enhance their adaptability to environmental stress, thereby promoting growth and productivity [51]. Aquatic plants preferentially absorb NH4+, which enhances GS and GOGAT activities while suppressing NR and NiR activities, reduce intracellular NH4+ accumulation, and thus prevent NH4+ toxicity. This mechanism not only ensures efficient utilization of N sources in water bodies, but also minimizes energy consumption [15].
There are several plausible reasons for the significant positive correlation between the NO3-N uptake rate and NR activity, as follows: (1) NR acts as the initial enzyme in the nitrate assimilation process and serves as the rate-limiting step [44]. Higher NR activity increases the plant’s ability to reduce NO3 to NH4+, thereby enhancing the NO3 uptake efficiency [52]. (2) Under NO3 induction, the expression of NR-related genes is markedly upregulated, resulting in elevated NR activity and consequently improving NO3 absorption and assimilation [53]. (3) The uptake of NO3 by plants demands a greater energy investment than that required for NH4+ uptake [22]. When the NR activity is high, it suggests that plants prioritize allocating energy toward NO3 uptake to meet their N metabolism needs [17].
In this study, the inorganic N uptake rates of P. australis, T. orientalis, and S. validus were significantly correlated with the SRA and RTD. The main reasons for this correlation may be summarized as follows: (1) Most leaves of P. australis, T. orientalis, and S. validus are positioned above the water layer, precluding direct N absorption. To adapt to their aquatic environment, these plants have evolved well-developed root systems, allowing them to predominantly absorb inorganic N via their roots [54]. (2) Larger SRAs increase the surface area of the root system, thereby enhancing diffusion and mass flow processes and improving the uptake rate of inorganic N [55]. (3) A larger SRA may reflect a greater density of root hairs on the root surface. These root hairs secrete organic acids that desorb adsorbed inorganic N, thus facilitating its absorption by the root system [56]. (4) Plants with lower RTDs tend to exhibit larger SRAs, which enlarge the contact area between their roots and the environment, thereby promoting N diffusion and uptake [57].
In addition, the NH4+-N uptake rates of P. australis and T. orientalis were significantly positively correlated with the GDH activity, which may be linked to their ammonium toxicity resistance. This implies that P. australis and T. orientalis could be better adapted to eutrophic water bodies through the GDH pathway [12]. The inorganic N uptake rates of P. australis and T. orientalis exhibited a negative correlation with biomass and RTD, suggesting that higher N uptake rates might lead to energy reallocation toward root development, consequently inhibiting aboveground growth [58]. Alternatively, alterations in root structure could potentially affect the N uptake efficiency [57].

3.4. The Main Drivers of the Nitrogen Uptake Rates of Emergent Plants

In this study, the N uptake amount of the plants was identified as the most influential factor affecting the overall N uptake rate, with the plants’ N content being particularly significant. Root attributes, specifically the SRA and SRL, were the second most important factors. N assimilation enzymes, including NiR, SP, and NR, had a smaller influence on the N uptake rate. However, photosynthetic parameters exhibited no significant impact on the N uptake rate (Figure 6). These findings confirm our second hypothesis. Furthermore, this study revealed that the following key indicators influence the plants’ N uptake rates: the NO3-N uptake amount in stems and leaves, TN content in stems and leaves, NH4+-N uptake amount in stems and leaves, SRA, NH4+-N uptake amount in roots, NR activity in stems and leaves, NiR activity in roots, SP content in stems and leaves, SP content in roots, and NR activity in roots (Figure 5).
The N uptake amount exerted the greatest total impact on the N uptake rate, especially the plants’ TN content and NO3-N uptake amount in the stem and leaves, which was mainly due to the following dynamics: (1) Plants with higher amounts of N uptake generally have more complete N metabolism pathways and more efficient N transport systems, and they can adjust their N uptake rate more flexibly to adapt to changes in the external N supply when faced with different concentrations of N [59]. (2) The roots of aquatic plants absorb different forms of N from water or sediment and then transport and distribute them to various tissues and organs [60]. When the N contents of the stems and leaves are high, it indicates that the plant has abundant N stores, which can provide sufficient biological macromolecules, such as enzymes and carrier proteins, for related physiological activities, thereby maintaining a high N uptake capacity [61]. (3) Stem and leaf cells have high metabolic activity, can quickly absorb and transport N (their NR activity is especially high), and can reduce NO3 to NH4+, which can then be used by plants [62]. Moreover, the photosynthesis process of stems and leaves produces a large amount of energy and carbon backbone, which provides a material basis and dynamic support for N absorption and assimilation [63]. (4) NO3 in water has high solubility and mobility, can spread rapidly in water, and is in full contact with the stems and leaves of aquatic plants, meaning that it is more easily absorbed by the stems and leaves of aquatic plants [64]. Compared with NH4+, NO3 is relatively less toxic to aquatic plants, and they can continuously absorb and accumulate NO3 within a certain range [65].
Root traits, especially the SRA and SRL, have a greater impact on N uptake rates, which may be due to the following dynamics: (1) Aquatic plants with larger SRAs and SRLs have better exposure to N in water, thereby increasing their N uptake rates [54,55]. At the same time, plant roots adjust their morphology and physiological functions, such as by increasing their SRA and SRL, to different forms of inorganic N to improve N uptake and utilization [21]. (2) Roots are the main part of N absorption in plants, and root cells are rich in N assimilation enzymes and N transporters. In addition, adjusting the roots’ morphology can provide more substrates for root N assimilation enzymes, and, by adjusting the N assimilation enzyme activity, the absorbed N is converted into transportable and available organic N compounds, while N is transported to the aerial parts through redistribution strategies to meet the growth needs of stems and leaves, which means that it has a greater impact on the N uptake rate [66]. (3) P. australis, an emergent plant with well-developed aeration tissue, can promote microbial N conversion through root oxygen secretion, thereby increasing N uptake [32]. In this study, this was also confirmed by a significant positive correlation between the SRA and N uptake rate in the emergent plants (Figure 5).
N assimilation enzymes, particularly NiR, SP, and NR, play a crucial role in influencing N uptake rates. This can primarily be explained by the following factors: (1) The activity of N assimilation enzymes (e.g., NR and GS) serves as a key indicator of the metabolic efficiency of NO3 and NH4+ in plants. Under varying N sources, the activity of N assimilation enzymes in aquatic plants adjusts dynamically to adapt to environmental conditions. Specifically, under high-NO3 conditions, the NR activity is significantly increased. In contrast, under high-NH4+ conditions, the NR activity is markedly inhibited, while the GS expression is upregulated [13,14]. Moreover, soluble proteins, which include a variety of N-assimilating enzymes (e.g., NR and GS), play a critical role in influencing N uptake rates by modulating the activities of the key enzymes that are involved in N metabolism. Soluble proteins also function as a form of storage of N and synergistically interact with photosynthesis [67]. These findings are consistent with the significant positive correlation that we observed between the N assimilation enzyme activity and N uptake rates in emergent plants (Figure 5). (2) The nitrate assimilation process constitutes a critical pathway for plants to achieve sustainable growth and enhance their productivity. In this process, NR and NiR function as pivotal enzymes [10]. NR serves as the initial enzyme in the nitrate assimilation process and acts as the rate-limiting enzyme that catalyzes the reduction of NO3 to NO2. Subsequently, NiR reduces NO2 to NH4+, thereby enabling further involvement in the synthesis of amino acids and proteins [46]. However, when NH4+ accumulates at high levels in plants, it may inhibit the activity of NR and NiR by modulating the cellular redox state or signal transduction pathways, thus reducing the demand for NO3 reduction and conserving energy [35].
Since the samples in this study were collected at a single time point, they could only reflect the uptake rates of different N forms by emergent plants during a specific period and did not consider the dynamic regulation of enzyme activity throughout the plants’ growth cycle. Consequently, this study has certain limitations. Furthermore, the test water consisted of a 15N isotopically labeled NH4+/NO3 proportional gradient solution, which is relatively simplified compared with natural water bodies and neglects the influence of other environmental factors (e.g., light, temperature, pH, and flow rate). In the future, we aim to conduct more comprehensive investigations into the N uptake rates and influencing factors of aquatic plants across different seasons using in situ field experiments.

4. Materials and Methods

4.1. Experimental Design

The 15N isotope labeling experiment was carried out at the Key Laboratory of Ningxia Academy of Agriculture and Forestry Sciences, Ministry of Agriculture and Rural Affairs. Considering the survival rate, ecotype, and purification efficiency, seedlings of four common emergent plants in the Yellow River irrigation area of Ningxia—P. australis, T. orientalis, S. validus, and L. salicaria—were transplanted into an agricultural drainage ditch and grown for two months as experimental materials.
Based on previous studies [14,68] and preliminary monitoring conducted by our research group, the NH4+/NO3 ratio was observed to range from 0.41 to 3.67. A N-free Hoagland nutrient solution was used as the base solution, and five NH4+/NO3 gradients with identical total N concentrations were established for conducting 15N isotope labeling experiments (Table 2). Each emergent plant species was divided into two groups, as follows: one group was prepared using 15NH4Cl (99.12 atom%) and NaNO3, according to the five NH4+/NO3 gradients, while the other group was prepared using Na15NO3 (99.21 atom%) and NH4Cl. Each treatment was replicated three times, resulting in a total of 30 experimental beakers. Each beaker contained 1 L of test solution with a uniform total N concentration of 15 mg N L−1. Plant transplantation was initiated at 10:00 on 2 July 2023, and the experiment continued for 24 h.
At 10:00 on July 3, the net photosynthetic rate of the plant leaves was measured using a plant photosynthetic analyzer (CIRAS-3, PP Systems, Amesbury, MA, USA), with three replicates per treatment and three plants being measured per replicate. After the completion of the 15N isotope labeling experiment, the chlorophyll content of the leaves was determined; roots were scanned for the root attribute analysis; and the dry weight, N content, SP content, N assimilation activity, and 15N atomic percentages of the stem, leaf, and root samples were analyzed.

4.2. Sampling and Measurements

Following the completion of the 15N isotope labeling experiment, the plants were carefully rinsed with distilled water and subsequently separated into two components for further analysis: the aboveground biomass (stems and leaves) and the belowground biomass (roots).
The chlorophyll a (CHA) and chlorophyll b (CHB) contents were determined using 95% ethanol extraction. Specifically, 0.5 g of fresh leaf samples was accurately weighed and transferred into a 10 mL centrifuge tube, followed by the addition of 10 mL of 95% ethanol. The mixture was incubated for 48 h at room temperature in the dark. Subsequently, the supernatant was carefully collected, and the absorbance values at wavelengths of 665 nm and 649 nm were measured using a multifunctional microplate reader (Thermo Varioskan LUX, Shanghai, China). Finally, the concentrations of CHA, CHB, and total chlorophyll (CHT) were calculated based on the measured absorbance values.
Determination of Root Functional Traits: Roots were dissected following their branching order, carefully arranged on clear glass without overlapping, scanned with an Epson desktop scanner (Epson Expression 10 000 XL, Epson, Suwa, Japan), and analyzed using the root analysis software WinRHIZO (v. 2020a, Regent Instruments, Quebec, QC, Canada). Subsequently, the AD, total root length, root surface area, root volume, and number of root segments for each plant were determined.
Determination of Enzyme Activity in Plant Stems, Leaves, and Roots: Fresh samples of the plants’ stems, leaves, and roots were carefully cleaned, finely minced, thoroughly homogenized, and accurately weighed at 0.1 g of fresh weight. The samples were subsequently ground into a fine powder under liquid N conditions. The SP content was quantified using a bicinchoninic acid (BCA) protein assay kit. The activities of NR, NiR, GS, GOGAT, and GDH were quantified using a double-antibody one-step sandwich enzyme-linked immunosorbent assay (ELISA).
Determination of N Content in Different Forms of Stems, Leaves, and Roots of the Plants: Fresh samples of the plants’ stems, leaves, and roots were dried at 65 °C for 48 h until a constant weight was achieved and then accurately weighed. Subsequently, the samples were ground into a fine powder using a ball mill (MM2, Fa. Retsch, Haan, Germany) and passed through a 100-mesh sieve, and the 15N atomic percentage was analyzed using an isotope-ratio mass-spectrometer–elemental-analyzer (IRMS-EA, Elementar, Manchester, UK).
The TN content of the plant samples was determined using the Kjeldahl N determination method.

4.3. Calculations of Various Indicators

The contents of CHA, CHB, and CHT can be calculated using Equations (1)–(3).
C H A = 13.95 × A 665 6.88 × A 649
C H B = 24.96 × A 649 7.32 × A 665
C H T = C H A + C H B
where A665 and A649 represent the absorbance values of the chlorophyll extract at wavelengths of 665 nm and 649 nm, respectively; CHA denotes the concentration of chlorophyll a (mg L−1); CHB represents the concentration of chlorophyll b (mg L−1); and CHT indicates the total chlorophyll concentration (mg L−1).
Equations (4)–(6) for the SRL, SRA, and RTD are expressed as follows:
S R L = L / W
S R A = S / W
R T D = W / V
where SRL denotes the specific root length (m g−1); SRA represents the specific root surface area (cm2 g−1); RTD indicates the root tissue density (g cm−3); and L, W, S, and V correspond to the total length (m), dry weight (g), surface area (cm2), and volume (cm3) of each root segment, respectively.
Equations (7) and (8) can be used to calculate the plants’ N uptake rate and the N uptake amount of each organ of the plants’ roots, stems, and leaves, and are expressed as follows [69]:
N U R = ( A P E R × N R × W R + A P E L × N L × W L ) × S N W R × T × A N
N U A X = A P E X × N X × W X × S N A N
where NUR denotes the rate of N uptake by the plants (μg N g−1·h−1 DW); A P E R and APEL represent the 15N atom percent excess in the roots and the stems and leaves, respectively; NR and NL (µg N g−1) indicate the N contents in the roots and the stems and leaves, respectively; WR and WL (g) refer to the dry weights of the roots and the stems and leaves, respectively; T represents the labeling duration (h); NUAX signifies the N uptake by each organ (root, stem, and leaf) of the plant (μg·N), with the subscript X denoting the specific organ (root, stem, and leaf); SN refers to the N concentration of NH4+ or NO3 in each beaker (mmol L−1); and AN indicates the 15N concentration (mmol L−1) of the added labeling solution.

4.4. Statistical Analysis

The effects of N form, plant species, and NH4+/NO3 on plant N uptake rate were analyzed with a generalized linear model (GLM) with gamma distribution and identity link. Model effects were assessed using Type III Wald χ2 tests to independently evaluate the significance of each variable and interaction term. The parameters of the GLM were estimated via the maximum likelihood estimation method. The difference was tested using the least squares method (LSD), and the significance level was p < 0.05. The differences in N uptake rate and enzyme activities of N assimilation between different treatments were determined to be statistically significant at a level of p < 0.05 using the one-way ANOVA and LSD tests. A Pearson correlation analysis was employed to examine the associations among the N uptake rate and the various influencing factors, including N uptake amounts (Table S1), root traits and photosynthetic parameters (Table S2). The RDA was employed to examine the relationships between the rate of N uptake and the influencing factors. The PLS-PM showed the effects of the N uptake amount, traits of roots, assimilation enzymes, and photosynthetic parameters on the N uptake rate. All the statistical analyses were carried out using R software (version 3.1.2).

5. Conclusions

The form of N and the plant species significantly influenced the N uptake rates of four emergent plant species in the Yellow River irrigation area. In water bodies with varying NH4+/NO3 ratios, the N uptake rates of P. australis and T. orientalis were significantly higher than those of S. validus and L. salicaria. The four emergent plant species’ preferences for different forms of N exhibited significant environmental plasticity. At an NH4+/NO3 ratio of 5:5, P. australis and T. orientalis showed a preference for NO3-N absorption, whereas S. validus and L. salicaria favored NH4+-N uptake. The N uptake and assimilation processes in the four plants involved a synergistic mechanism of environmental adaptation and physiological regulation, enabling them to absorb different forms of N from water more effectively. Specifically, the NH4+-N uptake rates of the four emergent plants increased with the enhancement of GS and GOGAT activities, while the NO3-N uptake rates increased with the enhancement of NR activity. P. australis and T. orientalis exhibited enhanced adaptation to eutrophication through the GDH pathway. The amount of N uptake exerted the greatest total impact on the N uptake rate, particularly on the plants’ N content. The second most influential factor was root traits, specifically the SRA and SRL. N assimilation enzymes, especially NiR, SP, and NR, also played a significant role in regulating N uptake.
The divergence in N uptake strategies among species underscores the pivotal role of species selection in ecological restoration. P. australis and T. orientalis stand out as optimal candidates for remediating N-contaminated waters in the Yellow River Basin due to their high adaptability and efficient N assimilation capacity. The establishment of complementary communities with species such as S. validus and L. salicaria can further enhance the resilience of plant assemblages to complex N-polluted environments. Moreover, synergistic optimization of plant N assimilation efficiency can be achieved by enhancing enzyme activity through exogenous carbon supplementation, expanding root absorption surfaces via rhizospheric microbial inoculation, and considering environmental factors such as N form and load in water.
Future research should focus on elucidating the seasonal dynamics of N uptake rates and the physiological responses of aquatic plants in natural water bodies. Establishing long-term monitoring networks to track seasonal variations and community succession effects will advance our understanding of the regulatory mechanisms underlying N uptake efficiency. Such efforts will deepen our knowledge of aquatic plant N uptake characteristics and promote their practical application in addressing water N pollution.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/plants14101484/s1. Table S1: Nitrogen uptake amounts in different aquatic plants. Table S2: Root traits and photosynthetic parameters in different aquatic plants.

Author Contributions

Conceptualization, Y.H.; Data curation, Y.H.; Formal analysis, Y.H.; Investigation, Y.H.; Methodology, Y.H.; Project administration, R.L.; Supervision, X.F.; Writing—original draft, Y.H.; Writing—review and editing, R.L., W.X., P.L. and X.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Ningxia Key R&D Program (grant no. 2022BEG02007), the National Natural Science Foundation of China (32460324), and the Ningxia Agricultural High-quality Development and Ecological Protection Technology Innovation Demonstration Project (grant no. NGSB-2021-11).

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Materials.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Khanna, K.; Kohli, S.K.; Sharma, N.; Kour, J.; Devi, K.; Bhardwaj, T.; Dhiman, S.; Singh, A.D.; Sharma, N.; Sharma, A.; et al. Phytomicrobiome communications: Novel implications for stress resistance in plants. Front. Microbiol. 2022, 13, 912701. [Google Scholar] [CrossRef] [PubMed]
  2. Wang, W.; Wang, H.; Zang, S. Purification mechanism of emergent aquatic plants on polluted water: A review. J. Environ. Manag. 2025, 375, 124198. [Google Scholar] [CrossRef] [PubMed]
  3. Fang, J.; Yang, R.; Cao, Q.; Dong, J.; Li, C.; Quan, Q.; Huang, M.; Liu, J. Differences of the microbial community structures and predicted metabolic potentials in the lake, river, and wetland sediments in dongping lake basin. Environ. Sci. Pollut. Res. 2020, 27, 19661–19677. [Google Scholar] [CrossRef]
  4. Chen, H.; Huang, X.; Shi, W.; Kronzucker, H.J.; Hou, L.; Yang, H.; Song, Q.; Liu, J.; Shi, J.; Yang, Q.; et al. Coordination of nitrogen uptake and assimilation favours the growth and competitiveness of moso bamboo over native tree species in high-NH4+ environments. J. Plant Physiol. 2021, 266, 153508. [Google Scholar] [CrossRef]
  5. Li, L.; Cheng, X.; Kong, X.; Jia, P.; Wang, X.; Zhang, L.; Zhang, X.; Zhang, Y.; Zhang, Z.; Zhang, B. Comparative transcriptomic analysis reveals the negative response mechanism of peanut root morphology and nitrate assimilation to nitrogen deficiency. Plants 2023, 12, 732. [Google Scholar] [CrossRef]
  6. Liu, X.; Hu, B.; Chu, C. Nitrogen assimilation in plants: Current status and future prospects. J. Genet. Genom. 2022, 49, 394–404. [Google Scholar] [CrossRef]
  7. Huangfu, S.; Zhou, F.; Zheng, X.; Zhang, X.; Hu, L. Removal of ammonia nitrogen from black and odorous water by macrophytes based on laboratory microcosm experiments. RSC Adv. 2023, 13, 3173–3180. [Google Scholar] [CrossRef]
  8. Sahay, S.; Robledo-Arratia, L.; Glowacka, K.; Gupta, M. Root NRT, NiR, AMT, GS, GOGAT and GDH expression levels reveal NO and ABA mediated drought tolerance in Brassica juncea L. Sci. Rep. 2021, 11, 7992. [Google Scholar] [CrossRef]
  9. Gu, J.J.; Zhao, H.-W.; Yan, J.; Hu, B.W.; Wang, Z.Q.; Qu, Z.J.; Yu, F.L. Effect of salt stress on nitrogen assimilation of functional leaves and root system of rice in cold region. J. Northeast. Agric. Univ. 2020, 27, 9–16. [Google Scholar]
  10. Lv, X.; Wang, X.; Pan, J.; Deng, W.; Li, Y. Role of nitrate reductase and nitrite reductase in NaCl tolerance in eelgrass (Zostera marina L.). Ecol. Chem. Eng. S 2022, 29, 111–125. [Google Scholar] [CrossRef]
  11. Zhang, J.; Lv, J.; Xie, J.; Gan, Y.; Coulter, J.A.; Yu, J.; Li, J.; Wang, J.; Zhang, X. Nitrogen source affects the composition of metabolites in pepper (Capsicum annuum L.) And regulates the synthesis of capsaicinoids through the GOGAT–GS pathway. Foods 2020, 9, 150. [Google Scholar] [CrossRef] [PubMed]
  12. Xian, L.; Zhang, Y.; Cao, Y.; Wan, T.; Gong, Y.; Dai, C.; Ochieng, W.A.; Nasimiyu, A.T.; Li, W.; Liu, F. Glutamate dehydrogenase plays an important role in ammonium detoxification by submerged macrophytes. Sci. Total Environ. 2020, 722, 137859. [Google Scholar] [CrossRef] [PubMed]
  13. Han, Z.; Lu, Y.; Zhao, Y.; Wang, Y.; Han, Z.; Han, Y.; Zhang, J. Analysis of relative expression of key enzyme genes and enzyme activity in nitrogen metabolic pathway of two genotypes of potato (Solanum tuberosum L.) Under different nitrogen supply levels. Horticulturae 2022, 8, 769. [Google Scholar] [CrossRef]
  14. Chen, M.; Zhu, K.; Xie, J.; Liu, J.; Qiao, Z.; Tan, P.; Peng, F. Ammonium-nitrate mixtures dominated by NH4+-N promote the growth of pecan (Carya illinoinensis) through enhanced n uptake and assimilation. Front. Plant Sci. 2023, 14, 1186818. [Google Scholar] [CrossRef]
  15. Wang, H.; Tang, X.; Chen, J.; Shang, S.; Zhu, M.; Liang, S.; Zang, Y. Comparative studies on the response of Zostera marina leaves and roots to ammonium stress and effects on nitrogen metabolism. Aquat. Toxicol. 2021, 240, 105965. [Google Scholar] [CrossRef]
  16. Song, J.; Yang, J.; Jeong, B.R. Growth, quality, and nitrogen assimilation in response to high ammonium or nitrate supply in cabbage (Brassica campestris L.) And lettuce (Lactuca sativa L.). Agronomy 2021, 11, 2556. [Google Scholar] [CrossRef]
  17. Guo, H.R.; Wu, Y.; Hu, C.C.; Liu, X.Y. Elevated nitrate preference over ammonium in aquatic plants by nitrogen loadings in a city river. J. Geophys. Res. Biogeosciences 2022, 127, e2021JG006614. [Google Scholar] [CrossRef]
  18. Zhuang, W.; Wang, M.; Xiao, Y.; Zhou, X.; Wu, N. Differential uptake of nitrogen forms by two herbs in the gurbantunggut desert, central asia. Plant Biol. 2022, 24, 758–765. [Google Scholar] [CrossRef]
  19. Czaban, W.; Rasmussen, J. Co-occurrence of organic and inorganic n influences asparagine uptake and amino acid profiles in white clover. J. Plant Nutr. Soil Sci. 2021, 184, 162–172. [Google Scholar] [CrossRef]
  20. Du, Y.; Niu, S.; Jiang, H.; Luo, B.; Wang, Q.; Han, W.; Liu, Y.; Chang, J.; Ge, Y. Comparing the effects of plant diversity on the nitrogen removal and stability in floating and sand-based constructed wetlands under ammonium/nitrate ratio disturbance. Environ. Sci. Pollut. Res. 2021, 28, 69354–69366. [Google Scholar] [CrossRef]
  21. Meier, M.; Liu, Y.; Lay-Pruitt, K.S.; Takahashi, H.; von Wirén, N. Auxin-mediated root branching is determined by the form of available nitrogen. Nat. Plants 2020, 6, 1136–1145. [Google Scholar] [CrossRef] [PubMed]
  22. Tang, D.; Liu, M.; Zhang, Q.; Ma, L.; Shi, Y.; Ruan, J. Preferential assimilation of NH4+ over NO3 in tea plant associated with genes involved in nitrogen transportation, utilization and catechins biosynthesis. Plant Sci. 2020, 291, 110369. [Google Scholar] [CrossRef] [PubMed]
  23. Xiao, H.; Sheng, M.; Wang, L.; Guo, C.; Zhang, S. Effects of short-term n addition on fine root morphological features and nutrient stoichiometric characteristics of Zanthoxylum bungeanum and Medicago sativa seedlings in southwest China karst area. J. Soil Sci. Plant Nutr. 2022, 22, 1805–1817. [Google Scholar] [CrossRef]
  24. Sun, J.; Jin, L.; Li, R.; Meng, X.; Jin, N.; Wang, S.; Xu, Z.; Liu, Z.; Lyu, J.; Yu, J. Effects of different forms and proportions of nitrogen on the growth, photosynthetic characteristics, and carbon and nitrogen metabolism in tomato. Plants 2023, 12, 4175. [Google Scholar] [CrossRef]
  25. Aryal, K.; Maraseni, T.; Apan, A. How much do we know about trade-offs in ecosystem services? A systematic review of empirical research observations. Sci. Total Environ. 2022, 806, 151229. [Google Scholar] [CrossRef]
  26. Zhang, T.; Lei, Q.; Liang, X.; Lindsey, S.; Luo, J.; Pei, W.; Du, X.; Wu, S.; An, M.; Qiu, W.; et al. Optimization of the n footprint model and analysis of nitrogen pollution in irrigation areas: A case study of Ningxia Hui Autonomous Region, China. J. Environ. Manag. 2023, 340, 118002. [Google Scholar] [CrossRef]
  27. Moore, M.T.; Locke, M.A. Experimental evidence for using vegetated ditches for mitigation of complex contaminant mixtures in agricultural runoff. Water Air Soil Pollut. 2020, 231, 140. [Google Scholar] [CrossRef]
  28. Pei, W.; Yan, T.; Lei, Q.; Zhang, T.; Fan, B.; Du, X.; Luo, J.; Lindsey, S.; Liu, H. Spatio-temporal variation of net anthropogenic nitrogen inputs (NANI) from 1991 to 2019 and its impacts analysis from parameters in northwest China. J. Environ. Manag. 2022, 321, 115996. [Google Scholar] [CrossRef]
  29. Yu, W.; Zhang, J.; Liu, L.; Li, Y.; Li, X. A source-sink landscape approach to mitigation of agricultural non-point source pollution: Validation and application. Environ. Pollut. 2022, 314, 120287. [Google Scholar] [CrossRef]
  30. Lin, X.; Wu, X.; Gao, Z.; Ge, X.; Xiong, J.; Tan, L.; Wei, H. The effects of water depth on the growth of two emergent plants in an in-situ experiment. Sustainability 2022, 14, 11309. [Google Scholar] [CrossRef]
  31. Qin, J.; Sun, Y.; Qiu, X.; Liu, H.; Zhang, E.; Mao, X. Distribution pattern simulation of multiple emergent plants in river riparian zones. River Res. Appl. 2021, 37, 1180–1190. [Google Scholar] [CrossRef]
  32. Fang, J.; Dong, J.; Li, C.; Chen, H.; Wang, L.; Lyu, T.; He, H.; Liu, J. Response of microbial community composition and function to emergent plant rhizosphere of a constructed wetland in northern china. Appl. Soil Ecol. 2021, 168, 104141. [Google Scholar] [CrossRef]
  33. Liu, M.; Xu, X.; Wanek, W.; Sun, J.; Bardgett, R.D.; Tian, Y.; Cui, X.; Jiang, L.; Ma, Z.; Kuzyakov, Y.; et al. Nitrogen availability in soil controls uptake of different nitrogen forms by plants. New Phytol. 2025, 245, 1450–1467. [Google Scholar] [CrossRef] [PubMed]
  34. Daryanto, S.; Wang, L.; Gilhooly, W.P.; Jacinthe, P. Nitrogen preference across generations under changing ammonium nitrate ratios. J. Plant Ecol. 2019, 12, 235–244. [Google Scholar] [CrossRef]
  35. Yan, Y.; Zhang, Z.; Sun, H.; Liu, X.; Xie, J.; Qiu, Y.; Chai, T.; Chu, C.; Hu, B. Nitrate confers rice adaptation to high ammonium by suppressing its uptake but promoting its assimilation. Mol. Plant 2023, 16, 1871–1874. [Google Scholar] [CrossRef]
  36. Qian, J.; Jin, W.; Hu, J.; Wang, P.; Wang, C.; Lu, B.; Li, K.; He, X.; Tang, S. Stable isotope analyses of nitrogen source and preference for ammonium versus nitrate of riparian plants during the plant growing season in Taihu lake basin. Sci. Total Environ. 2021, 763, 143029. [Google Scholar] [CrossRef]
  37. Jiang, H.; Huang, B.; Qian, Z.; Xu, Y.; Liao, X.; Song, P.; Li, X. Effects of increased carbon supply on the growth, nitrogen metabolism and photosynthesis of Vallisneria natans grown at different temperatures. Wetlands 2020, 40, 1459–1467. [Google Scholar] [CrossRef]
  38. Wang, K.; Hu, Q.; Wei, Y.; Yin, H.; Sun, C.; Liu, G. Uptake kinetics of NH4+, NO3 and H2PO4 by Typha orientalis, Acorus calamus L., Lythrum salicaria L., Sagittaria trifolia L. and Alisma plantago-aquatica Linn. Sustainability 2021, 13, 434. [Google Scholar] [CrossRef]
  39. Guo, C.; Zhang, Q.; Hu, Y.; Zhao, Q.; Li, Q.; Wu, J. Influence of sediment, plants, and microorganisms on nitrogen removal in farmland drainage ditches. Agronomy 2023, 13, 2211. [Google Scholar] [CrossRef]
  40. Manolaki, P.; Mouridsen, M.B.; Nielsen, E.; Olesen, A.; Jensen, S.M.; Lauridsen, T.L.; Baattrup-Pedersen, A.; Sorrell, B.K.; Riis, T. A comparison of nutrient uptake efficiency and growth rate between different macrophyte growth forms. J. Environ. Manag. 2020, 274, 111181. [Google Scholar] [CrossRef]
  41. Lu, B.; Qian, J.; Hu, J.; Wang, P.; Jin, W.; Tang, S.; He, Y.; Zhang, C. The role of fine root morphology in nitrogen uptake by riparian plants. Plant Soil 2022, 472, 527–542. [Google Scholar] [CrossRef]
  42. Wu, H.; Hao, B.; You, Y.; Zou, C.; Cai, X.; Li, J.; Qin, H. Aquatic macrophytes mitigate the conflict between nitrogen removal and nitrous oxide emissions during tailwater treatments. J. Environ. Manag. 2024, 370, 122671. [Google Scholar] [CrossRef]
  43. Chen, H.; Xiang, Y.; Yao, Z.; Zhang, Q.; Li, H.; Cheng, M. Stability of C:N:P stoichiometry in the plant–soil continuum along age classes in natural pinus tabuliformis carr. Forests of the eastern loess plateau, China. Forests 2023, 14, 44. [Google Scholar] [CrossRef]
  44. Koyama, L.A.; Terai, M.; Tokuchi, N. Nitrate reductase activities in plants from different ecological and taxonomic groups grown in japan. Ecol. Res. 2020, 35, 708–712. [Google Scholar] [CrossRef]
  45. Chen, H.; Huang, L. Effect of nitrogen fertilizer application rate on nitrate reductase activity in maize. Appl. Ecol. Environ. Res. 2020, 18, 2879–2894. [Google Scholar] [CrossRef]
  46. Ali, A. Nitrate assimilation pathway in higher plants: Critical role in nitrogen signalling and utilization. Plant Sci. Today 2020, 7, 182–192. [Google Scholar] [CrossRef]
  47. Du, J.; Shen, T.; Xiong, Q.; Zhu, C.; Peng, X.; He, X.; Fu, J.; Ouyang, L.; Bian, J.; Hu, L.; et al. Combined proteomics, metabolomics and physiological analyses of rice growth and grain yield with heavy nitrogen application before and after drought. BMC Plant Biol. 2020, 20, 556. [Google Scholar] [CrossRef]
  48. Zhou, T.; Wu, P.; Yue, C.; Huang, J.; Zhang, Z.; Hua, Y. Transcriptomic dissection of allotetraploid rapeseed (Brassica napus L.) In responses to nitrate and ammonium regimes and functional analysis of BnaA2.gln1;4 in arabidopsis. Plant Cell Physiol. 2022, 63, 755–769. [Google Scholar] [CrossRef]
  49. Zhang, Z.; Cao, B.; Chen, Z.; Xu, K. Grafting enhances the photosynthesis and nitrogen absorption of tomato plants under low-nitrogen stress. J. Plant Growth Regul. 2022, 41, 1714–1725. [Google Scholar] [CrossRef]
  50. Ma, K.; Zhou, Y.; Ma, Y.; Zhang, T. Increased rice yield by improving the stay-green traits and related physiological metabolism under long-term warming in cool regions. Int. J. Plant Prod. 2024, 18, 175–186. [Google Scholar] [CrossRef]
  51. Hasan, A.K.; Carrasco-G, F.E.; Carolina Lizana, X.; Calderini, D.F. Low seed rate in square planting arrangement has neutral or positive effect on grain yield and improves grain nitrogen and phosphorus uptake in wheat. Field Crops Res. 2022, 288, 108699. [Google Scholar] [CrossRef]
  52. Qi, D.; Wu, Q. Physiological characteristics, lint yield, and nitrogen use efficiency of cotton under different nitrogen application rates and waterlogging durations. J. Soil Sci. Plant Nutr. 2023, 23, 5594–5607. [Google Scholar] [CrossRef]
  53. Wang, M.; Hasegawa, T.; Beier, M.; Hayashi, M.; Ohmori, Y.; Yano, K.; Teramoto, S.; Kamiya, T.; Fujiwara, T. Growth and nitrate reductase activity are impaired in Rice Osnlp4 mutants supplied with nitrate. Plant Cell Physiol. 2021, 62, 1156–1167. [Google Scholar] [CrossRef]
  54. Fang, Y.; Xie, P.; Tan, L.; Sun, Y.; Zhu, S.; Qiao, F. A review of the influence of habitat on emergent macrophyte growth and its feedback mechanism. Chin. J. Ecol. 2021, 40, 2610. [Google Scholar] [CrossRef]
  55. Wang, L.; Liao, D.; Rengel, Z.; Shen, J. Soil–plant–microbe interactions in the rhizosphere: Incremental amplification induced by localized fertilization. Front. Agric. Sci. Eng. 2024, 12, 57–68. [Google Scholar] [CrossRef]
  56. Jia, Z.; Giehl, R.F.H.; Hartmann, A.; Estevez, J.M.; Bennett, M.J.; von Wirén, N. A spatially concerted epidermal auxin signaling framework steers the root hair foraging response under low nitrogen. Curr. Biol. 2023, 33, 3926–3941.e5. [Google Scholar] [CrossRef]
  57. Ito, T.; Tanaka-Oda, A.; Masumoto, T.; Akatsuki, M.; Makita, N. Different relationships of fine root traits with root ammonium and nitrate uptake rates in conifer forests. J. For. Res. 2023, 28, 25–32. [Google Scholar] [CrossRef]
  58. Cun, Z.; Wu, H.M.; Zhang, J.; Shuang, S.; Hong, J.; An, T.; Chen, J.W. High nitrogen inhibits biomass and saponins accumulation in a medicinal plant panax notoginseng. PeerJ 2023, 11, e14933. [Google Scholar] [CrossRef]
  59. Choi, S.J.; Lee, Z.; Jeong, E.; Kim, S.; Seo, J.S.; Um, T.; Shim, J.S. Signaling pathways underlying nitrogen transport and metabolism in plants. BMB Rep. 2023, 56, 56–64. [Google Scholar] [CrossRef]
  60. Cai, Z.; Li, Q.; Bai, H.; Zhu, C.; Tang, G.; Zhou, H.; Huang, J.; Song, X.; Wang, J. Interactive effects of aquatic nitrogen and plant biomass on nitrous oxide emission from constructed wetlands. Environ. Res. 2022, 213, 113716. [Google Scholar] [CrossRef]
  61. Qin, W.; Guo, R.; Zou, X.; Zhang, X.; Yu, X.; Wang, Y.; Si, T. Effects of drip irrigation and topdressing on dry matter weight, mineral nutrient absorption and yield of pod-bearing stage in peanut. Acta Agron. Sin. 2020, 47, 520–529. [Google Scholar] [CrossRef]
  62. Zhao, Y.; Xie, Z.; Hu, B.; Li, Y.; Teng, A.; Zhong, F. The effects of polypropylene microplastics on the removal of nitrogen and phosphorus from water by Acorus calamus, iris tectorum and functional microorganisms. Chemosphere 2024, 364, 143153. [Google Scholar] [CrossRef] [PubMed]
  63. Ji, P.; Cui, Y.; Li, X.; Xiao, K.; Tao, P.; Zhang, Y. Responses of photosynthetic characteristics and enzyme activity of nitrogen metabolism to low nitrogen in maize with different nitrogen tolerance. Int. J. Agric. Biol. Eng. 2020, 13, 133–143. [Google Scholar] [CrossRef]
  64. Wu, H.; Ding, J. Abiotic and biotic determinants of plant diversity in aquatic communities invaded by water hyacinth [eichhorniacrassipes (mart.) Solms]. Front. Plant Sci. 2020, 11, 555774. [Google Scholar] [CrossRef]
  65. Hu, S.; He, R.; He, X.; Zeng, J.; Zhao, D. Niche-specific restructuring of bacterial communities associated with submerged macrophyte under ammonium stress. Appl. Environ. Microbiol. 2023, 89, e0071723. [Google Scholar] [CrossRef]
  66. Wang, R.; Dijkstra, F.A.; Han, X.; Jiang, Y. Root nitrogen reallocation: What makes it matter? Trends Plant Sci. 2024, 29, 1077–1088. [Google Scholar] [CrossRef]
  67. Shu, X.; Jin, M.; Wang, S.; Xu, X.; Deng, L.; Zhang, Z.; Zhao, X.; Yu, J.; Zhu, Y.; Lu, G.; et al. The effect of nitrogen and potassium interaction on the leaf physiological characteristics, yield, and quality of sweet potato. Agronomy 2024, 14, 2319. [Google Scholar] [CrossRef]
  68. Jia, X.; Huangfu, C.; Hui, D. Nitrogen uptake by two plants in response to plant competition as regulated by neighbor density. Front. Plant Sci. 2020, 11, 584370. [Google Scholar] [CrossRef]
  69. Liu, Q.; Xu, M.; Yuan, Y.; Wang, H. Interspecific competition for inorganic nitrogen between canopy trees and underlayer-planted young trees in subtropical pine plantations. For. Ecol. Manag. 2021, 494, 119331. [Google Scholar] [CrossRef]
Figure 1. The process of nitrogen uptake and assimilation by plants in aquatic ecosystems. The arrows represent the key nitrogen assimilation processes.
Figure 1. The process of nitrogen uptake and assimilation by plants in aquatic ecosystems. The arrows represent the key nitrogen assimilation processes.
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Figure 2. The uptake rates and ratios of NH4+-N and NO3-N of different plants in water with different NH4+/NO3 ratios. PH, P. australis; TY, T. orientalis; SC, S. validus; LY, L. salicaria. Different uppercase letters indicate significant differences in the uptake rates of the same nitrogen form by the same plant among varying NH4+/NO3 ratios (9:1, 7:3, 5:5, 3:7, and 1:9) (p < 0.05). The different lowercase letters on the left side of the figure indicate significant differences in the uptake rates of the same nitrogen form among different plant species (PH, TY, SC, and LY) at the same NH4+/NO3 ratio (p < 0.05). The different lowercase letters on the right side of the figure indicate significant differences in the ratios of NH4+-N to NO3-N uptake rate among different plant species (PH, TY, SC, and LY) at the same NH4+/NO3 ratio (p < 0.05).
Figure 2. The uptake rates and ratios of NH4+-N and NO3-N of different plants in water with different NH4+/NO3 ratios. PH, P. australis; TY, T. orientalis; SC, S. validus; LY, L. salicaria. Different uppercase letters indicate significant differences in the uptake rates of the same nitrogen form by the same plant among varying NH4+/NO3 ratios (9:1, 7:3, 5:5, 3:7, and 1:9) (p < 0.05). The different lowercase letters on the left side of the figure indicate significant differences in the uptake rates of the same nitrogen form among different plant species (PH, TY, SC, and LY) at the same NH4+/NO3 ratio (p < 0.05). The different lowercase letters on the right side of the figure indicate significant differences in the ratios of NH4+-N to NO3-N uptake rate among different plant species (PH, TY, SC, and LY) at the same NH4+/NO3 ratio (p < 0.05).
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Figure 3. Nitrogen assimilation enzyme activities in stems, leaves, and roots of different plants in water with different NH4+/NO3 ratios. (a) SP content, (b) NR activity, (c) NiR activity, (d) GS activity, (e) GOGAT activity, (f) GDH activity. PH, P. australis; TY, T. orientalis; SC, S. validus; LY, L. salicaria. Different lowercase letters indicate significant differences in nitrogen assimilation enzyme activities among the different plants (p < 0.05).
Figure 3. Nitrogen assimilation enzyme activities in stems, leaves, and roots of different plants in water with different NH4+/NO3 ratios. (a) SP content, (b) NR activity, (c) NiR activity, (d) GS activity, (e) GOGAT activity, (f) GDH activity. PH, P. australis; TY, T. orientalis; SC, S. validus; LY, L. salicaria. Different lowercase letters indicate significant differences in nitrogen assimilation enzyme activities among the different plants (p < 0.05).
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Figure 4. Correlations of factors affecting the nitrogen uptake rate of emergent plants. (a) PH, P. australis; (b) TY, T. orientalis; (c) SC, S. validus; (d) LY, L. salicaria. AMU, the uptake rate of NH4+-N; NTU, the uptake rate of NO3-N; INU, the uptake rate of inorganic nitrogen; RAN, the NH4+/NO3 ratio; AMA, the uptake amount of NH4+-N; NTA, the uptake amount of NO3-N; TN, the total nitrogen content of a plant; TM, the plant biomass; CHA, the content of chlorophyll a; CHB, the content of chlorophyll b; CHR, the ratio of chlorophyll a to chlorophyll b; CHT, the total chlorophyll content; Pn, the net photosynthetic rate; SP, the content of soluble protein; NR, the activity of nitrate reductase; NiR, the activity of nitrite reductase; GS, the activity of glutamine synthetase; GOGAT, the activity of glutamate synthase; GDH, the activity of glutamate dehydrogenase; AD, the diameter of fine roots; SRL, the specific root length of fine roots; SRA, the specific root surface area of fine roots; RTD, the tissue density of fine roots. Significance codes: *** means p < 0.001, ** means p < 0.01, * means p < 0.05.
Figure 4. Correlations of factors affecting the nitrogen uptake rate of emergent plants. (a) PH, P. australis; (b) TY, T. orientalis; (c) SC, S. validus; (d) LY, L. salicaria. AMU, the uptake rate of NH4+-N; NTU, the uptake rate of NO3-N; INU, the uptake rate of inorganic nitrogen; RAN, the NH4+/NO3 ratio; AMA, the uptake amount of NH4+-N; NTA, the uptake amount of NO3-N; TN, the total nitrogen content of a plant; TM, the plant biomass; CHA, the content of chlorophyll a; CHB, the content of chlorophyll b; CHR, the ratio of chlorophyll a to chlorophyll b; CHT, the total chlorophyll content; Pn, the net photosynthetic rate; SP, the content of soluble protein; NR, the activity of nitrate reductase; NiR, the activity of nitrite reductase; GS, the activity of glutamine synthetase; GOGAT, the activity of glutamate synthase; GDH, the activity of glutamate dehydrogenase; AD, the diameter of fine roots; SRL, the specific root length of fine roots; SRA, the specific root surface area of fine roots; RTD, the tissue density of fine roots. Significance codes: *** means p < 0.001, ** means p < 0.01, * means p < 0.05.
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Figure 5. RDA of factors affecting nitrogen uptake rate of emergent plants. AMA-L, uptake amount of NH4+-N in stems and leaves; AMA-R, uptake amount of NH4+-N in roots; NTA-L, uptake amount of NO3-N in stems and leaves; TN-L, total nitrogen content in stems and leaves; SP-L, content of soluble protein in stems and leaves; SP-R, content of soluble protein in roots; NR-L, activity of nitrate reductase in stems and leaves; NR-R, activity of nitrate reductase in roots; NiR-R, activity of nitrite reductase in roots.
Figure 5. RDA of factors affecting nitrogen uptake rate of emergent plants. AMA-L, uptake amount of NH4+-N in stems and leaves; AMA-R, uptake amount of NH4+-N in roots; NTA-L, uptake amount of NO3-N in stems and leaves; TN-L, total nitrogen content in stems and leaves; SP-L, content of soluble protein in stems and leaves; SP-R, content of soluble protein in roots; NR-L, activity of nitrate reductase in stems and leaves; NR-R, activity of nitrate reductase in roots; NiR-R, activity of nitrite reductase in roots.
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Figure 6. A PLS-PM showing the effects of the nitrogen uptake amounts, root traits, nitrogen assimilation enzymes, and photosynthetic parameters on nitrogen uptake rates. The blue and red lines indicate positive and negative effects, respectively. The solid and dashed arrows indicate significant and insignificant path coefficients, respectively. The numbers adjacent to each arrow denote the path coefficients (significance codes: *** p < 0.001, ** p < 0.01). The number next to each indicator represents the contribution of each predictor variable to the latent variable. The R2 values display the proportion of variance in the nitrogen uptake rate that is explained by each factor.
Figure 6. A PLS-PM showing the effects of the nitrogen uptake amounts, root traits, nitrogen assimilation enzymes, and photosynthetic parameters on nitrogen uptake rates. The blue and red lines indicate positive and negative effects, respectively. The solid and dashed arrows indicate significant and insignificant path coefficients, respectively. The numbers adjacent to each arrow denote the path coefficients (significance codes: *** p < 0.001, ** p < 0.01). The number next to each indicator represents the contribution of each predictor variable to the latent variable. The R2 values display the proportion of variance in the nitrogen uptake rate that is explained by each factor.
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Table 1. Generalized linear model (GLM) of the effects of the species, NH4+/NO3 ratio, and nitrogen form on the plants’ nitrogen uptake rates.
Table 1. Generalized linear model (GLM) of the effects of the species, NH4+/NO3 ratio, and nitrogen form on the plants’ nitrogen uptake rates.
FactorWald χ2Dfp ValueGoodness of FitValueDfValue/Df
Species1518.543<0.001Deviance0.53800.007
NH4+/NO391.074<0.001Scaled Deviance120.0980
N form609.401<0.001Pearson χ20.52800.006
Species × NH4+/NO3119.2912<0.001Scaled Pearson χ2118.0780
Species × N form174.113<0.001Log Likelihood−511.30
NH4+/NO3 × N form1561.834<0.001AIC1104.61
Species × NH4+/NO3 × N form392.8512<0.001AICC1148.76
(Intercept)23,275.781<0.001BIC1218.89
Omnibus Test (vs. Intercept)(Likelihood Ratio χ2) 477.4539<0.001CAIC1259.89
Bold p values indicate significance. AIC: Akaike Information Criterion; AICC: Corrected Akaike Information Criterion; BIC: Bayesian Information Criterion; CAIC: Consistent AIC. Smaller values indicate better model fit. Wald χ2 tests were performed for Type III effects.
Table 2. Experimental design for 15N isotope labeling.
Table 2. Experimental design for 15N isotope labeling.
NumberNH4+/NO3NH4Cl (mg L−1)NaNO3 (mg L−1)
19:113.51.5
27:310.54.5
35:57.57.5
43:74.510.5
51:91.513.5
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Hong, Y.; Liu, R.; Xiang, W.; Lei, P.; Fang, X. Emergent Plants Improve Nitrogen Uptake Rates by Regulating the Activity of Nitrogen Assimilation Enzymes. Plants 2025, 14, 1484. https://doi.org/10.3390/plants14101484

AMA Style

Hong Y, Liu R, Xiang W, Lei P, Fang X. Emergent Plants Improve Nitrogen Uptake Rates by Regulating the Activity of Nitrogen Assimilation Enzymes. Plants. 2025; 14(10):1484. https://doi.org/10.3390/plants14101484

Chicago/Turabian Style

Hong, Yu, Ruliang Liu, Wenhua Xiang, Pifeng Lei, and Xi Fang. 2025. "Emergent Plants Improve Nitrogen Uptake Rates by Regulating the Activity of Nitrogen Assimilation Enzymes" Plants 14, no. 10: 1484. https://doi.org/10.3390/plants14101484

APA Style

Hong, Y., Liu, R., Xiang, W., Lei, P., & Fang, X. (2025). Emergent Plants Improve Nitrogen Uptake Rates by Regulating the Activity of Nitrogen Assimilation Enzymes. Plants, 14(10), 1484. https://doi.org/10.3390/plants14101484

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