Next Article in Journal
Interactions of Potassium Fertilization and Straw Return in Modulating Maize Yield and Lodging Resistance
Next Article in Special Issue
Knockout of the OsNAC113 Transcription Factor Causes High Salt Resistance in Rice
Previous Article in Journal
Mechanical Pruning Induces Distinct Metabolic Responses in Slender Spindle-Shaped Apple Orchards
Previous Article in Special Issue
WRKY61 Negatively Regulates Aluminum Resistance by Inhibiting the Expression of ALMT1 in Arabidopsis thaliana
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Integrating Chlorophyll Fluorescence with Anatomical and Physiological Analyses Reveals Interspecific Variation in Heat Tolerance Among Eight Rhododendron Taxa

1
Jiangxi Provincial Key Laboratory of Plant Germplasm Innovation and Genetic Improvement, Lushan Botanical Garden, Chinese Academy of Sciences, Jiujiang 332900, China
2
Department of Pomology, College of Agronomy, Yunnan Agricultural University, Kunming 650030, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Plants 2025, 14(23), 3664; https://doi.org/10.3390/plants14233664
Submission received: 30 October 2025 / Revised: 28 November 2025 / Accepted: 29 November 2025 / Published: 1 December 2025

Abstract

To investigate interspecific variation in heat tolerance and underlying adaptation mechanisms in Rhododendron, three-year-old potted seedlings of eight taxa, representing four subgenera within the genus Rhododendron, were subjected to 40 °C high-temperature stress. Heat tolerance was comprehensively assessed using phenotypic observation, chlorophyll fluorescence imaging, microscopic examination, and physiological measurements. Results revealed that leaf damage in Rhododendron oldhamii and Rhododendron × pulchrum reached grade III, whereas Rhododendron latoucheae exhibited only grade II injury with rapid recovery. Chlorophyll fluorescence analysis showed a significant decrease in the maximum quantum efficiency of PSII (Fv/Fm) in R. liliiflorum and R. × pulchrum, followed by rapid recovery, while R. latoucheae maintained stable Fv/Fm values. Stomatal closure occurred in all taxa post-stress; stomatal characteristics of R. liliiflorum and R. simiarum remained stable, and leaf tissue structure was least affected in R. kiangsiense. R. × pulchrum demonstrated the most pronounced structural recovery. Physiologically, R. oldhamii exhibited the greatest increases in electrolyte leakage (EL) and malondialdehyde (MDA) content. R. simiarum accumulated the highest proline content under stress, while R. latoucheae showed the most significant proline reduction during recovery. By integrating multiple indicators through principal component analysis (PCA) and a membership function, and assigning weights based on variance contribution, the heat tolerance was comprehensively evaluated and ranked as follows: R. latoucheae > R. simiarum > R. oldhamii > R. ovatum > R. fortunei > R. liliiflorum > R. kiangsiense > R. × pulchrum. These findings demonstrate significant differences in heat tolerance among Rhododendron taxa at the subgenus level, with the subgenus Azaleastrum generally possessing stronger short-term heat tolerance compared to the subgenus Tsutsusi. This study provides a theoretical basis for heat-tolerant cultivar breeding and landscape application of Rhododendron.

1. Introduction

Rhododendrons (Rhododendron spp.) are widely used in landscaping due to their excellent ornamental value. However, their preference for cool, moist environments and intolerance to high temperatures have long limited their growth, development, geographical distribution, and promotional value [1,2]. Therefore, studying the mechanisms of high-temperature response and breeding new Rhododendron varieties with stronger tolerance is crucial.
Chlorophyll fluorescence imaging is a non-destructive, rapid, and highly sensitive technique that reflects the real-time functional status of plant photosynthesis and enables early diagnosis of environmental stress before visible symptoms occur [3]. Previous studies have primarily applied this technique to assess cold and heat stress in plants [4,5,6]. In recent years, its applications have expanded to include light stress [7], drought [8,9], salinity stress, and heavy metal contamination [10]. High-temperature stress primarily impairs photosynthetic electron transport and reduces PSII activity, thereby weakening overall photosynthetic performance [11]. Consequently, chlorophyll fluorescence parameters are widely used to assess heat tolerance in plants [12,13]. For example, studies in tomato demonstrated that 40 °C for 24 h exerts a more pronounced impact on the PSII electron transport chain than low-temperature stress, and that reproductive tissues are more sensitive than leaves, highlighting the ability of chlorophyll fluorescence to discriminate the site and severity of temperature-induced damage [14]. Research on wheat further showed that detached leaves exhibited a rapid decline in the maximum quantum efficiency of PSII (Fv/Fm) after 2 h at 40 °C or 30 min at 45 °C, with responses faster and stronger than those observed in intact plants exposed to 40 °C for three days, indicating tissue-specific differences in PSII sensitivity under various heat regimes [15]. In maize, Fv/Fm remained near normal under hot-wind stress, but both Fm and Fv declined significantly, accompanied by increased NPQ and reduced ΦPSII, suggesting that NPQ and ΦPSII serve as sensitive indicators for distinguishing genotypic variation in heat tolerance [16].To date, heat-stress research on Rhododendron taxa has largely focused on molecular-level responses [17,18], whereas studies employing chlorophyll fluorescence imaging remain relatively limited.
Plant tolerance to abiotic stress is often associated with multiple physiological indicators. For instance, high-temperature stress can inhibit photosynthesis in tomato leaves, affect carbohydrate accumulation and transport, and disrupt the reactive oxygen species (ROS) scavenging system [19,20]. Corn and blueberries respond to high-temperature stress by regulating stomatal aperture and leaf microstructure to reduce leaf temperature [21,22]. Heat-tolerant wheat varieties accumulate more proline than heat-sensitive varieties to reduce osmotic potential and protect cells [23]. Additionally, other studies have shown significant differences in heat tolerance between heat-tolerant wild grape varieties and heat-sensitive European grape varieties [24]. By crossing heat-sensitive wild hairy kiwifruit with heat-tolerant Chinese kiwifruit, a genetic population was thus established to produce new heat-tolerant varieties [25]. Therefore, the physiological response mechanisms of different taxa to high-temperature stress are different, whereas heat tolerance is significantly related to genetic characteristics. However, comparative physiological studies across Rhododendron subgenera under standardized high-temperature stress conditions have not been reported.
This research compared the heat tolerance differences among eight Rhododendron taxa distributed at different altitudes from four Rhododendron subgenera through multidimensional analysis of chlorophyll fluorescence imaging, stomatal morphology, leaf tissue anatomy, and physiological characteristics. It further revealed the adaptive mechanisms of different Rhododendrons in response to high-temperature stress. This analysis provides future reference for Rhododendron heat tolerance breeding and horticultural application.

2. Results

2.1. Effects of Heat Stress on Leaf Phenotype in Eight Rhododendron Taxa

Figure 1 shows the plant phenotypes under high-temperature stress. R. oldhamii and R. × pulchrum were the most sensitive plants, showing wilting, drooping, and shriveling of 40% of their leaves when exposed to 40 °C high-temperature stress, with damage severity reaching Grade III. They also had the weakest recovery capacity (damage severity remained at Grade III even after 7 d of recovery). R. kiangsiense and R. liliiflorum exhibited wilting and drooping in 20% of their leaves after high-temperature stress, with damage severity reaching Grade II. After 7 d of recovery at a normal temperature, the damage severity decreased to Grade I, indicating a better recovery capacity (Table 1). R. fortunei and R. simiarum exhibited Grade II leaf damage under high-temperature stress. When transferred to normal temperatures for recovery cultivation, some wilted leaves recovered by the 4th day, with the damage reducing to Grade I. This indicates a strong recovery capacity. R. latoucheae and R. ovatum also exhibited Grade II damage under high-temperature stress. However, after being transferred to normal temperature conditions, the leaf damage rapidly recovered to Grade I (Table 1). Thus, it is evident that different Rhododendron exhibit distinct leaf phenotypes in response to high-temperature stress.

2.2. Effects of Heat Stress on Photosynthetic Performance in Eight Rhododendron Taxa

As shown in Figure 2A,B, the Fv/Fm indices of R. liliiflorum, R. × pulchrum, and R. ovatum were significantly lower than before treatment, while the other five taxa showed no significant change. After 7 d of recovery, the Fv/Fm values of the three aforementioned Rhododendron taxa gradually returned to pre-treatment levels. R. liliiflorum recovered the fastest, achieving full recovery in 3 d. Figure 2C,D show that the PSII index decreased rapidly and significantly in R. liliiflorum, R. × pulchrum, and R. fortunei after high-temperature stress. After 7 d of recovery at normal temperature, R. × pulchrum and R. liliiflorum recovered to pre-stress levels. Notably, the PSII indices of R. simiarum and R. latoucheae remained significantly higher than the control group, showing a continuous downward trend even after 7 d of recovery. These results suggest that high temperatures generally impair the photosynthetic function of Rhododendrons, with significant interspecific variations observed in heat sensitivity and recovery capacity.
As illustrated in Figures S1–S3, heat stress resulted in a significant decrease in the photochemical quenching (qP) coefficient across seven Rhododendron taxa compared to the control. Meanwhile, the electron transport rate (ETR) exhibited a general downward trend. The most substantial decline in qP was observed in R. latoucheae and R. ovatum, while the greatest reduction in ETR was observed in R. × pulchrum (Figures S1A,B and S3C). Concurrently, the non-photochemical quenching coefficient (qN) and the quantum yield of regulated energy dissipation Y(NPQ) increased significantly in most taxa. Additionally, the quantum yield of non-regulated energy dissipation, Y(NO), and non-photochemical quenching (NPQ) increased markedly in all taxa, peaking after 24 h of stress (Figures S1C,D, S2A–D and S3A,B). After a 7 d recovery period under normal temperature conditions, the qP values for R. liliiflorum, R. simiarum, and R. × pulchrum, as well as the ETR values for R. liliiflorum and R. ovatum, gradually returned to control levels. In contrast, the qP values of R. latoucheae, R. ovatum, and R. fortunei remained significantly suppressed. Although NPQ, qN, and Y(NPQ) trended downward during recovery across the eight taxa, they remained significantly elevated above control levels after 7 d. However, the Y(NO) index decreased rapidly upon returning to normal temperature, with some taxa recovering to baseline levels within 7 d. Conversely, R. oldhamii showed no significant changes in its qN and Y(NPQ) values. In conclusion, these photosynthetic parameters accurately and promptly indicate the extent of heat stress in rhododendrons and their subsequent recovery capacity.

2.3. Impact of Heat Stress on Stomatal Traits in Eight Rhododendron Taxa

Stomatal characteristics of leaves under high-temperature stress are shown in Table 2 and Figure 3. Stomatal length decreased post-stress in all cultivars, with the most substantial reductions occurring in R. oldhamii, R. × pulchrum, and R. latoucheae. Upon transfer to ambient temperature for recovery, stomatal length in R. oldhamii, R. × pulchrum, and R.latoucheae exhibited a significant rebound, whereas it remained stable in R. liliiflorum and R. simiarum throughout the experimental period. All eight Rhododendron taxa displayed pronounced stomatal closure under heat stress. The most significant reduction in stomatal width was observed in R. fortunei, followed by R. liliiflorum and R. oldhamii. During the recovery phase under ambient conditions, stomata reopened. Notably, R. simiarum showed a more marked recovery in stomatal width, and R. liliiflorum fully recovered to control levels within 7 d. In terms of stomatal area, a significant decrease was observed across all cultivars, with R. kiangsiense and R. latoucheae experiencing the greatest declines. Conversely, stomatal density increased following stress in all taxa, with the highest increases recorded in R. × pulchrum and R. liliiflorum. After 7 d of recovery, stomatal density declined in most cultivars. While R. liliiflorum and R. ovatum returned to control levels, R. × pulchrum maintained an elevated density that was 16.7% higher than the control (Table 2). Collectively, these findings indicate that R. liliiflorum and R. simiarum exhibited greater stability in their stomatal characteristics, as evidenced by minimal changes in response to heat stress.

2.4. Divergent Responses of Leaf Anatomical Structures to Heat Stress in Eight Rhododendron Taxa

As illustrated in Table 3 and Figure 4, the leaf tissue structures of different Rhododendron taxa exhibited distinct alterations under high-temperature stress. All eight taxa showed significant reductions in upper and lower epidermal thickness. Notably, R. ovatum, R. fortunei, and R. oldhamii exhibited more pronounced decreases in the upper epidermis, while R. liliiflorum, R. simiarum, and R. × pulchrum experienced more severe shrinkage in the lower epidermis. All taxa exhibited a significant increase in palisade tissue thickness due to high-temperature stress in comparison to the control group, while spongy tissue thickness showed a substantial decrease. Consequently, the palisade to spongy tissue thickness ratio was significantly higher under stress than in the control group. R. × pulchrum exhibited a larger increase in this ratio among the studied taxa, while R. kiangsiense showed the least change. After 7 d of recovery at normal temperatures, the thickness of both epidermal layers generally increased, with R. liliiflorum returning to control levels. Palisade tissue thickness significantly decreased, while spongy tissue thickness evidently recovered. R. × pulchrum exhibited the most pronounced changes before and after stress, as well as the greatest variation in the ratio of palisade to spongy tissue during recovery. This indicates its heightened sensitivity to structural modifications induced by high temperatures and its strong regenerative capacity. R. liliiflorum was the second most responsive taxon. In contrast, R. kiangsiense exhibited relatively stable tissue thickness variations and showed no significant difference from the control (Table 3).

2.5. Impact of Heat Stress on Rhododendron Physiology

As shown in Figure 5, heat stress induced a decline in RWC in R. × pulchrum and R. oldhamii by 13% and 10%, respectively. After a 7 d recovery period under ambient conditions, the RWC of these two taxa returned to control levels. The other taxa did not exhibit significant changes (Figure 5A). All eight taxa showed a significant increase in EL after being subjected to stress. Transferring them to a normal temperature for 7 d facilitated a marked recovery in all Rhododendrons. The most pronounced change occurred in R. oldhamii, followed by R. × pulchrum; the remaining five strains showed more modest alterations (Figure 5B). MDA content, which is an indicator of lipid peroxidation, accumulated substantially in all strains following stress, with the most significant elevations occurring in R. oldhamii and R. ovatum. After waiting 7 d, there was a lot less MDA in the plants. R. liliiflorum, R. simiarum, R. × pulchrum, and R. oldhamii went down to normal levels (Figure 5C). Pro content also exhibited a significant accumulation in response to stress, particularly in R. simiarum and R. × pulchrum. Upon recovery, proline levels decreased significantly across all taxa. The most substantial reduction was in R. latoucheae, which, together with R. fortunei, recovered to control levels (Figure 5D). We observed that high-temperature stress differentially impacted the physiological characteristics of various rhododendron germplasms. A 7 d recovery period was sufficient for substantial repair in most taxa, among which R. ovatum showed the strongest physiological recovery ability.

2.6. Comprehensive Evaluation of Heat Tolerance in Rhododendron

Pearson correlation analysis was performed on the photosynthetic function, stomatal characteristics, leaf anatomical structure, and physiological indicators of eight Rhododendron taxa before and after heat stress. The results are shown in Figure 6A; Fv/Fm was positively correlated with PSII, NPQ, qP, and ETR in the photosynthetic function indicators, negatively correlated with Y(NO) and EL, and showed no significant correlation with other indicators. PSII was extremely significantly positively correlated with qP and ETR among the photosynthetic function indicators and negatively correlated with stomatal density and EL. NPQ was positively correlated with qN, NPQ with Y(NPQ), and qP with ETR and Y(NO). NPQ was negatively correlated with Y(NO) and qP with stomatal density and EL. ETR was extremely significantly negatively correlated with stomatal density and EL. Stomatal length was highly significantly positively correlated with stomatal width and area, but negatively correlated with stomatal density and palisade tissue thickness. Stomatal width was highly significantly positively correlated with area, but negatively correlated with stomatal density and epidermal layer thickness, without a significant relation to other indicators. Stomatal density was negatively correlated with leaf RWC. Leaf epidermal layer thickness was highly significantly positively correlated with hypodermal layer thickness and negatively correlated with the physiological indicator MDA accumulation. Palisade tissue thickness was positively correlated with spongy tissue thickness but negatively correlated with Pro accumulation. Leaf spongy tissue thickness was positively correlated with RWC but negatively correlated with Pro accumulation. RWC was highly significantly negatively correlated with Pro, while other physiological indicators showed no significant correlations (Figure 6A). The correlations between variables shown in Figure 6B are consistent with the results in Figure 6A. However, there was an obvious separation between the groups of variables measured after heat stress and those measured before stress and after recovery, while the groups of variables measured after recovery and before stress overlapped significantly (Figure 6B).
The heat tolerance indices of eight Rhododendron taxa were analyzed using principal component analysis (Table 4). The contribution rates of the first six principal components (eigenvalues ≥ 1) were 26.2%, 23.79%, 16.10%, 10.19%, 7.34%, and 5.33%, respectively, with a cumulative variance contribution rate of 88.98%. This indicates that these six principal components effectively represent most of the information in the original indicators. The plant’s photosynthetic electron transport efficiency and photochemical activity are primarily reflected in PC1, which has a high loading on photosynthetic parameters such as leaf ETR, PSII, and qP. PC2 has high loadings on leaf stomatal area, stomatal length, qN, and NPQ, indicating that this component primarily characterizes stomatal morphological features and non-photochemical quenching protection mechanisms. PC3 has significant loadings on stomatal aperture and leaf RWC, primarily reflecting the plant’s osmotic regulation capacity and structural adaptability. PC4 has high loadings on palisade and spongy tissue thickness. PC5 and PC6 have high loadings on the physiological indicator MDA, which is related to oxidative damage and leaf structure. These components reflect the plant’s stress tolerance and structural characteristics.
Finally, the weights of the principal components (PC1 to PC6) were determined based on the contribution rates and cumulative contribution rates of each comprehensive indicator (Table 5), with values of 0.24, 0.21, 0.19, 0.16, 0.11, and 0.09, respectively. The D-values for the eight Rhododendron taxa were calculated as follows: R. latoucheae (0.68), R.simiarum (0.598), R. oldhamii (0.555), R. ovatum (0.510), R. fortunei (0.504), R. liliiflorum (0.498), R. kiangsiense (0.440), and R. × pulchrum (0.401). Based on the D-values, the heat tolerance ranking of the eight Rhododendron taxa was R. latoucheae > R. simiarum > R. oldhamii > R. ovatum > R. fortunei > R. liliiflorum > R. kiangsiense > R. × pulchrum.

3. Discussion

Damage to the photosynthetic system under heat stress is a central manifestation of interspecific variation in thermotolerance. Chlorophyll fluorescence parameters, which serve as sensitive proxies for photosynthetic performance, showed significant differences among taxa. R. liliiflorum, R. × pulchrum, and R. ovatum exhibited rapid declines in Fv/Fm under heat stress, followed by substantial recovery after a 7 d rehabilitation period. In contrast, the PSII efficiency of R. latoucheae remained consistently low both before and after stress, with no significant change. The PSII responses of R. × pulchrum and R. liliiflorum were well aligned with their Fv/Fm dynamics, demonstrating significant recovery upon return to normal conditions, which indicates pronounced sensitivity of their PSII reaction centers to high temperatures. This observation is consistent with the findings of Percival et al. (2005), who reported greater heat stress tolerance in leaves of evergreen taxa compared to deciduous trees [26], further supporting the established view that PSII activity serves as a critical indicator of plant thermotolerance [27]. Notably, NPQ, qP, and Y(NPQ) recovered to or exceeded pre-stress levels after 7 d in most taxa, with this effect being particularly pronounced in R. ovatum, R. latoucheae, and R. × pulchrum. This suggests a heat-induced upregulation of photoprotective mechanisms [28,29]. In contrast, interspecific differences in qN and Y(NO) after recovery were minimal. Overall, these results indicate that R. × pulchrum and R. ovatum possess superior capacity for photosynthetic functional recovery following heat stress, with R. × pulchrum showing the most rapid response. R. latoucheae maintained consistently high and stable values across all measured photosynthetic parameters, suggesting constitutive thermotolerance. These interspecific differences likely reflect divergent evolutionary adaptations to heat stress and variation in the efficiency of photosystem repair mechanisms [30,31].
As the primary gateway for gas exchange in plants, dynamic regulation of stomatal morphology and function represents a key adaptive strategy to heat stress [32]. All eight Rhododendron taxa examined in this study exhibited typical responses, including stomatal closure, reduced stomatal aperture, and increased stomatal density under high-temperature conditions. These observations align with findings reported by Cheng et al. [21] in maize, suggesting a conserved mechanism across species to minimize transpirational water loss and lower leaf temperature. Significant reductions in stomatal length were observed in R. × pulchrum, R. kiangsiense, R. latoucheae, and R. ovatum following heat stress. Among these, R. × pulchrum and R. latoucheae displayed remarkable recovery capacity, whereas R. simiarum maintained stable stomatal dimensions throughout the experiment-a trait potentially associated with its characteristic leathery leaf morphology [33]. Although stomatal closure occurred after 24 h of heat stress in all taxa, R. fortunei and R. × pulchrum had the highest stomatal sensitivity, which was the same as that of cultivar ‘Zhuangyuanhong’ (Rh. ‘Zhuangyuan Hong’) [34]. The rapid recovery of stomatal width in R. × pulchrum during the rehabilitation phase may be attributed to modulations in cell wall elasticity [35,36]. In contrast, R. ovatum was the only species that maintained partially closed stomata even after the 7-day recovery period. This sustained closure may be attributed to its persistently high photochemical quenching (qP) value post-recovery, which could maintain the activity of the photosynthetic electron transport chain and thereby facilitate the repair efficiency of the photosynthetic apparatus [37]. This study revealed that the stomatal density of most Rhododendron taxa increased under acute heat stress and decreased upon temperature recovery. This trend was consistent with the previously reported cultivar R. ‘Liu Qiu Hong’ but opposite to that of R. ‘Lan Yin’ [38]. Such varietal differences highlight species-specific strategies in response to stress. Furthermore, leaf anatomical structures in several tested Rhododendrons exhibited significant and reversible changes within 24 h of stress. These findings suggest that the observed responses stem from elastic adjustments in existing cells and tissues, rather than the formation of new structures. This rapid and reversible stomatal behavior may represent a key adaptive mechanism enabling Rhododendrons to withstand short-term heat fluctuations.
The stability of leaf anatomical structure underpins plant thermotolerance. Under elevated temperatures, all investigated taxa exhibited a consistent response characterized by thickening of palisade tissue and thinning of spongy mesophyll. This structural reorganization likely represents an adaptive mechanism to enhance photosynthetic efficiency by improving light capture and reducing transpirational water loss through decreased intercellular airspace [9,39]. Notably, R. latoucheae and R. kiangsiense maintained a stable palisade to spongy tissue ratio under stress, aligning with findings reported by Li et al. [34], indicating higher anatomical resilience in these two germplasms. In contrast, R. × pulchrum exhibited pronounced structural plasticity during stress yet demonstrated exceptional regenerative capacity during recovery, suggesting an efficient tissue reorganization mechanism [38]. Significant reductions in epidermal thickness were observed in R. ovatum and R. fortunei, consistent with reports in the cultivar Rhododendron ‘Fen Zhenzhu’, which may facilitate heat dissipation at the cost of reduced protective capacity [34]. Conversely, R. liliiflorum achieved complete restoration of epidermal integrity after recovery, highlighting its superior capacity for structural repair [40]. However, the changes in tissue structure and cells observed in this study did not originate from the generation of new cells, but rather reflected a rapid morphological adaptation and remodeling of the existing tissue cells under acute heat stress.
Dynamic changes in physiological indicators reflect the capacity for osmotic adjustment and antioxidant defense under high-temperature stress. R. oldhamii exhibited the most pronounced increases in EL and MDA content, indicating severe membrane damage and heightened sensitivity to heat stress, which is consistent with its observed Grade III phenotypic injury. In contrast, R. simiarum and R. × pulchrum displayed the most substantial accumulation of proline, suggesting active osmotic adjustment that contributes to cellular homeostasis under stress conditions [41,42]. Notably, R. latoucheae showed a sharp decline in proline content during recovery, returning to basal levels, which indicates an efficient reestablishment of metabolic equilibrium after stress removal. This rapid metabolic recovery may underlie its superior thermotolerance [32,43].
Principal component analysis (PCA) ranked the eight Rhododendron taxa in the following order of heat tolerance: R. latoucheae > R. simiarum > R. oldhamii > R. ovatum > R. fortunei > R. liliiflorum > R. kiangsiense > R. × pulchrum. This order reflects the integrated contribution of multiple physiological and structural indicators to overall thermotolerance. An interesting inter-subgenus divergence was observed, with taxa of the subgenus Azaleastrum (R. latoucheae and R. ovatum) demonstrating superior short-term heat tolerance over those of the subgenus Tsutsusi (R. oldhamii and R. × pulchrum), potentially due to disparities in key leaf traits like thickness and leatheriness, combined with the brief recovery period. Other studies also confirm this assumption, indicating that the leaves of the R. × pulchrum are relatively thin and lack leathery characteristics. They are extremely prone to water loss and tissue damage under high-temperature stress. However, their strong self-repair and regeneration capabilities are also one of the reasons for their widespread use in horticultural landscapes [44]. This study provides a preliminary understanding of the patterns of intersubgeneric variation in heat tolerance within Rhododendron. However, it should be noted that the 24 h heat stress treatment employed in this study has certain limitations, and the inclusion of only two taxa per subgenus indeed constrains statistical robustness at the subgenus level. Future research should focus on analyzing the response patterns of multiple taxa within each subgenus to prolonged heat stress and systematically investigate the genetic differentiation characteristics of germplasm resources from different altitudes, thereby enabling deeper insights into the underlying physiological and molecular mechanisms.

4. Materials and Methods

4.1. Plant Materials and Methods

This research used 8 taxa of Rhododendrons as materials, including R. oldhamii and R. × pulchrum from R. subg. Tsutsusi, R. kiangsiense and R. liliiflorum from R. subg. Rhododendron, R. fortunei and R. simiarum from R. subg. Hymenanthes, R. latoucheae and R. ovatum from R. subg. Azaleastrum. Specifically, R. oldhamii is a semi-evergreen shrub inhabiting montane thickets at approximately 2800 m elevation, with thinly leathery leaves and slightly revolute margins; R. × pulchrum, a natural hybrid between R. mucronatum and R. scabrum, is a semi-evergreen shrub distributed in the middle and lower reaches of the Yangtze River, characterized by non-coriaceous, pubescent leaves; R. kiangsiense occurs on mountain slopes at around 1100 m elevation as a shrub with coriaceous leaves and slightly revolute margins; R. liliiflorum is an evergreen shrub found in open montane forests or thickets, bearing coriaceous leaves; R. fortunei, an evergreen shrub or small tree, grows on sunny ridges or in forest understories at 620–2000 m elevation, with thickly coriaceous, slightly pubescent, and moderately glossy leaves; R. simiarum is an evergreen shrub inhabiting slopes within forests at 500–1800 m elevation, featuring thickly coriaceous leaves with a thin indumentum on the abaxial surface; R. latoucheae, an evergreen shrub or small tree, grows in mixed forests at 1000–2000 m elevation, with glossy, coriaceous, and glabrous leaves on both surfaces; and R. ovatum is an evergreen shrub occurring in montane thickets or open forests at 350–800 m elevation, with thinly coriaceous and moderately glossy leaves.
Academy of Sciences (Nanchang Research Center). The plant materials consisted of three-year-old seedling potted plants uniformly cultivated in the Rhododendron greenhouse. All plants were potted in containers with a top diameter of 12 cm and a height of 18 cm, each filled with 2 kg of cultivation substrate having a water-holding capacity of 65%. Three treatment groups were established, including a 25 °C control group, with 18 pots prepared for each Rhododendron taxa. A destructive sampling strategy was adopted: plants from each treatment group were divided into two portions—one for non-destructive chlorophyll fluorescence measurements and the other for leaf sampling to analyze stomatal characteristics, anatomical structure, and physiological indicators. Each measurement for every treatment was conducted with three biological replicates. Based on preliminary experiments and with reference to [44], 40 °C was determined to be a suitable stress temperature. In the formal experiment, after implementing a three-day uniform watering regimen for the plants scheduled for treatment, they were transferred to a high-temperature growth chamber set at 40 °C (with a photosynthetic photon flux of 150 μmol·m−2·s−1, a photoperiod of 14 h light/10 h dark, and 85% relative humidity) for a 24 h stress treatment. Subsequently, the plants were moved to a 25 °C cultivation chamber for a 7-day recovery period before final sample collection.

4.2. Phenotypic Observation

Leaf damage severity was quantified using ImageJ software (version 1.54p, National Institutes of Health, Bethesda, MD, USA), following the methodology established by Li et al. [34]. We classified the severity of heat injury to Rhododendron leaves into 4 levels. Grade I was characterized by curled young leaves, with fewer than 10% showing symptoms such as wilting, drooping, or shriveling. Grade II involved 10–30% of leaves exhibiting these symptoms, plus browning at the leaf margins. Grade III corresponded to 30–60% of leaves having symptoms such as wilting, drooping, shriveling, and withering. Grade IV was defined as more than 60% of the leaves being severely affected by wilting, shriveling, and extensive necrosis.

4.3. Chlorophyll Fluorescence Imaging

For chlorophyll fluorescence detection, leaf samples were dark-adapted for 15 min prior to imaging using an IMAGING-PAM chlorophyll fluorometer (Walz, Effeltrich, Germany). The maximum quantum efficiency of photosystem II (Fv/Fm), photochemical quenching coefficient (qP), non-photochemical quenching coefficient (qN), actual photochemical efficiency of PSII [Y(II)], apparent photosynthetic electron transport rate (ETR), quantum yield of non-regulated energy dissipation [Y(NO)], quantum yield of regulated energy dissipation [Y(NPQ)], and non-photochemical quenching (NPQ) were determined using the Imaging WinGegE software (version 1.54p, National Institutes of Health, Bethesda, MD, USA) [45].

4.4. Morphological and Microscopic Observation

To evaluate the effects of high-temperature stress on Rhododendron leaves, comparative observations of stomatal morphology and leaf microstructure were conducted between control and stress-treated plants. Stomatal parameters were quantified using an optical microscope (Olympus, Tokyo, Japan) by examining the abaxial epidermis. Leaf tissue sections were prepared following established protocols. Samples were fixed, dehydrated, and embedded in paraffin for longitudinal sectioning. The sections were then stained with safranin-fast green and imaged under the same optical microscope. Tissue layer thickness was measured using ImageJ software [46].

4.5. Determination of Physiological Parameter

The leaf relative water content (RWC) was determined using the soaking–drying method. For electrolyte leakage (EL), the protocol described by Wei et al. [47] was followed, though with minor modifications. Briefly, fresh leaf samples were immersed in 40 mL of deionized water and agitated at 200 rpm for two hours. Then, the initial conductivity of the bathing solution (C1) and the control deionized water (CK1) were measured. The samples were autoclaved at 100 °C for 10 min, cooled to room temperature, and the final conductivity of the solution (C2) and control (CK2) was recorded. EL was calculated as follows: EL (%) = [(C1 − CK1)/(C2 − CK2)] × 100%. The concentrations of malondialdehyde (MDA) and proline (Pro) were quantified using commercial assay kits from the Nanjing Jiancheng Bioengineering Institute (Nanjing, China) following the manufacturer’s protocols. Specifically, MDA content was determined by measuring absorbance at 532 nm and 600 nm, with the linear regression equation calculated as A = aC + b. Proline content was measured at 520 nm absorbance, using L-proline standard solutions of known concentrations to establish a standard curve with the linear regression equation A = aC + b.

4.6. Statistical Analysis

All data were analyzed using SPSS version 25 software for one-way analysis of variance (ANOVA) and Duncan’s multiple range test. p < 0.05 indicated significant differences. Principal component analysis (PCA) was performed using the PCA module in SPSS version 25 to standardize and reduce the dimensionality of the measured indicators, followed by the application of a membership function method to comprehensively evaluate the heat tolerance of different Rhododendron taxa [48]. The specific procedure was as follows:
(1)
Membership value of each standardized indicator:
U(Xj) = (Xj − Xmin)/(Xmax − Xmin)
(2)
Weight of each composite indicator:
ω i = P j / j 1 n P j
(3)
Comprehensive heat tolerance D value:
D = j 1 n ( U ( X ) × ω i )

5. Conclusions

This study demonstrates significant interspecific variation in heat tolerance among eight Rhododendron taxa, primarily determined by their photosynthetic stability, structural integrity, and physiological resilience. R. latoucheae exhibited the strongest constitutive thermotolerance, maintaining stable photosynthetic performance (Fv/Fm), minimal membrane damage (low EL and MDA), and rapid metabolic recovery (proline reduction). In contrast, R. × pulchrum and R. oldhamii were highly sensitive but differed in recovery capacity; the former showed strong regenerative ability, while the latter sustained irreversible damage. Stomatal regulation and leaf anatomical adjustments (e.g., palisade thickening, epidermal thinning) were ubiquitous but species-specific in magnitude and reversibility. Subgenus level analysis revealed that under controlled experimental conditions, the Azaleastrum subgenus exhibited superior short-term heat stress tolerance, which may be attributed to advantageous leaf structural traits and physiological adaptation mechanisms. This study provides valuable physiological and structural insights for the selection of Rhododendron germplasm with short-term heat tolerance and establishes a preliminary theoretical foundation for breeding heat-resistant cultivars. It should be noted, however, that the study’s conclusions are subject to certain limitations, as each subgenus was represented by only two taxa and the experiment employed a short-term heat stress model. Further studies should involve more taxa across subgenera and implement prolonged stress treatments to enable more systematic analysis of the heat tolerance mechanisms in Rhododendron.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/plants14233664/s1, Figure S1. (A,C) Chlorophyll fluorescence images of qP and qN in eight Rhododendron varieties under control, heat stress, and after 7 d of recovery. (B,D) Changes in qP and qN of eight Rhododendron varieties during heat stress and the 7-day recovery period; Figure S2. (A,C) Chlorophyll fluorescence images of Y(NO) and Y(NPQ) in eight Rhododendron varieties under control, heat stress, and after 7 d of recovery. (B,D) Changes in Y(NO) and Y(NPQ) of eight Rhododendron varieties during heat stress and the 7-day recovery period; Figure S3. (A,C) Changes in NPQ and ETR of eight Rhododendron varieties during heat stress and the 7-day recovery period. (B) Chlorophyll fluorescence images of NPQ in eight Rhododendron varieties under control, heat stress, and after 7 d of recovery.

Author Contributions

Conceptualization, S.W. and J.Z.; Methodology, H.Y.; Software, Y.W. and J.W.; Validation, W.G., J.W. and S.W.; Formal analysis, W.G.; Investigation, W.G. and S.W.; Resources, S.W.; Data curation, Y.W. and J.W.; Writing—original draft preparation, W.G.; Writing—review and Editing, W.G. and S.W.; Visualization, S.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

All data generated or analyzed during this study are included in this published article and its Supplementary Materials Files.

Acknowledgments

We thank Lehua Zhang from Lushan Botanical Garden for kindly providing some of the plant materials.

Conflicts of Interest

The authors state they have no conflicts of interest related to this work.

References

  1. Shen, H.; Zhao, B.; Xu, J.; Zheng, X.; Huang, W. Effects of Salicylic Acid and Calcium Chloride on Heat Tolerance in Rhododendron ‘Fen Zhen Zhu’. J. Amer. Soc. Hort. Sci. 2016, 141, 363–372. [Google Scholar] [CrossRef]
  2. Ranney, T.G.; Blazich, F.A.; Warren, S.L. 195 Physiological Study of Heat Tolerance in Rhododendron spp. HortScience 1994, 29, 457b-457. [Google Scholar] [CrossRef]
  3. Ralph, P.J.; Macinnis-Ng, C.M.O.; Frankart, C. Fluorescence Imaging Application: Effect of Leaf Age on Seagrass Photokinetics. Aquat. Bot. 2005, 81, 69–84. [Google Scholar] [CrossRef]
  4. Gray, G.R.; Hope, B.J.; Qin, X.; Taylor, B.G.; Whitehead, C.L. The Characterization of Photoinhibition and Recovery during Cold Acclimation in Arabidopsis thaliana Using Chlorophyll Fluorescence Imaging. Physiol. Plant. 2003, 119, 365–375. [Google Scholar] [CrossRef]
  5. Jedmowski, C.; Brüggemann, W. Imaging of Fast Chlorophyll Fluorescence Induction Curve (OJIP) Parameters, Applied in a Screening Study with Wild Barley (Hordeum spontaneum) Genotypes under Heat Stress. J. Photochem. Photobiol. B Biol. 2015, 151, 153–160. [Google Scholar] [CrossRef]
  6. Mi, L.; Liu, H.; Zhang, J.; Guo, Y.; Shi, J.; Lu, Y.; Cheng, J.; Wang, H.; Cheng, D.; Valverde, B.E.; et al. Low-Temperature-Induced Singlet Oxygen Adaptation Decreases Susceptibility to the Mycotoxin TeA in Invasive Plant Ageratina adenophora. Plant Physiol. Biochem. 2025, 220, 109508. [Google Scholar] [CrossRef]
  7. Zsom-Muha, V.; Nguyen, L.L.P.; Baranyai, L.; Hitka, G.; Horváth-Mez\Hofi, Z.; Szabó, G.; Zsom, T. An Attempt to the Nondestructive Investigation of Photo-Induced Potato Postharvest Quality Degradation–Preliminary Results. Prog. Agric. Eng. Sci. 2021, 17, 99–109. [Google Scholar] [CrossRef]
  8. Cui, X.; Gu, J.; Liu, P.; Lu, R.; Ren, Z.; Zhang, Y.; Wang, F.; Qi, M.; Liu, Y.; Li, T. Genome-Wide Identification and Characterization of the Thioredoxin (TRX) Gene Family in Tomato (Solanum lycopersicum) and a Functional Analysis of SlTRX2 under Salt Stress. Plant Physiol. Biochem. 2025, 220, 109478. [Google Scholar] [CrossRef]
  9. Zhang, L.; Jing, P.; Geng, B.; Shi, J.; Zhang, J.; Liang, D.; Yang, Y.; Qu, Y.; Huang, J. Effect of Glutathione Reductase on Photosystem II Characterization and Reactive Oxygen Species Metabolism in Cotton Cytoplasmic Male Sterile Line Jin A. Plant J. 2025, 121, e17217. [Google Scholar] [CrossRef]
  10. He, D.; Kaleem, Z.; Ali, S.; Shahbaz, H.; Zhang, K.; Li, J.; Sheteiwy, M.S.; Ulhassan, Z.; Zhou, W. Impact of Iron Oxide Nanoparticles on Cadmium Toxicity Mitigation in Brassica napus. Plant Physiol. Biochem. 2025, 220, 109500. [Google Scholar] [CrossRef]
  11. Tang, Y.; Wen, X.; Lu, Q.; Yang, Z.; Cheng, Z.; Lu, C. Heat Stress Induces an Aggregation of the Light-Harvesting Complex of Photosystem II in Spinach Plants. Plant Physiol. 2007, 143, 629–638. [Google Scholar] [CrossRef]
  12. Ferguson, J.N.; McAusland, L.; Smith, K.E.; Price, A.H.; Wilson, Z.A.; Murchie, E.H. Rapid Temperature Responses of Photosystem II Efficiency Forecast Genotypic Variation in Rice Vegetative Heat Tolerance. Plant J. 2020, 104, 839–855. [Google Scholar] [CrossRef]
  13. Sharma, D.K.; Torp, A.M.; Rosenqvist, E.; Ottosen, C.-O.; Andersen, S.B. QTLs and Potential Candidate Genes for Heat Stress Tolerance Identified from the Mapping Populations Specifically Segregating for Fv/Fm in Wheat. Front. Plant Sci. 2017, 8, 1668. [Google Scholar] [CrossRef]
  14. Zushi, K.; Kajiwara, S.; Matsuzoe, N. Chlorophyll a Fluorescence OJIP Transient as a Tool to Characterize and Evaluate Response to Heat and Chilling Stress in Tomato Leaf and Fruit. Sci. Hortic. 2012, 148, 39–46. [Google Scholar] [CrossRef]
  15. Sharma, D.K.; Fernández, J.O.; Rosenqvist, E.; Ottosen, C.-O.; Andersen, S.B. Genotypic Response of Detached Leaves versus Intact Plants for Chlorophyll Fluorescence Parameters under High Temperature Stress in Wheat. J. Plant Physiol. 2014, 171, 576–586. [Google Scholar] [CrossRef]
  16. Park, J.Y.; Yoo, S.Y.; Kang, H.G.; Kim, T.W. Use of Chlorophyll a Fluorescence Imaging for Photochemical Stress Assessment in Maize (Zea mays L.) Leaf under Hot Air Condition. Korean J. Crop Sci. 2016, 61, 270–276. [Google Scholar] [CrossRef]
  17. Xu, Y.; Zhang, J.; Wan, Z.; Huang, S.; Di, H.; He, Y.; Jin, S. Physiological and Transcriptome Analyses Provide New Insights into the Mechanism Mediating the Enhanced Tolerance of Melatonin-Treated Rhododendron Plants to Heat Stress. J. Integr. Agric. 2023, 22, 2397–2411. [Google Scholar] [CrossRef]
  18. Li, Y.; Li, X.; Lei, M.; Han, J.; Huang, Z.; Zhang, K.; Yang, Y.; Yang, N.; Yu, X.; Zhou, X. Metabolome and Transcriptome Analyses for Explore Heat Stress Responses and Adaptation Mechanisms in Rhododendron henanense Subsp. Lingbaoense. BMC Plant Biol. 2025, 25, 280. [Google Scholar] [CrossRef]
  19. Lu, J.; Yin, Z.; Lu, T.; Yang, X.; Wang, F.; Qi, M.; Li, T.; Liu, Y. Cyclic Electron Flow Modulate the Linear Electron Flow and Reactive Oxygen Species in Tomato Leaves under High Temperature. Plant Sci. 2020, 292, 110387. [Google Scholar] [CrossRef]
  20. Li, Y.; Jiang, F.; Niu, L.; Wang, G.; Yin, J.; Song, X.; Ottosen, C.; Rosenqvist, E.; Mittler, R.; Wu, Z.; et al. Synergistic Regulation at Physiological, Transcriptional and Metabolic Levels in Tomato Plants Subjected to a Combination of Salt and Heat Stress. Plant J. 2024, 117, 1656–1675. [Google Scholar] [CrossRef]
  21. Cheng, C.; Wu, Q.; Wang, M.; Chen, D.; Li, J.; Shen, J.; Hou, S.; Zhang, P.; Qin, L.; Acharya, B.R.; et al. Maize MITOGEN-ACTIVATED PROTEIN KINASE 20 Mediates High-Temperature–Regulated Stomatal Movement. Plant Physiol. 2023, 193, 2788–2805. [Google Scholar] [CrossRef]
  22. Callwood, J.; Melmaiee, K.; Kulkarni, K.P.; Vennapusa, A.R.; Aicha, D.; Moore, M.; Vorsa, N.; Natarajan, P.; Reddy, U.K.; Elavarthi, S. Differential Morpho-Physiological and Transcriptomic Responses to Heat Stress in Two Blueberry Species. Int. J. Mol. Sci. 2021, 22, 2481. [Google Scholar] [CrossRef]
  23. Kumar, R.R.; Sharma, S.K.; Rai, G.K.; Singh, K.; Choudhury, M.; Dhawan, G.; Singh, G.P.; Goswami, S.; Pathak, H.; Rai, R.D. Exogenous Application of Putrescine at Pre-Anthesis Enhances the Thermotolerance of Wheat (Triticum aestivum L.). Indian J. Biochem. Biophys 2014, 51, 396–406. [Google Scholar]
  24. Chen, H.; Yu, H.; Yuan, L.; Kong, L.; Li, S.; Cao, X.; Li, Y.; Wang, Y.; Lin, L.; Guo, R.; et al. A Naturally Occurring SNP Modulates Thermotolerance Divergence among Grapevines. Nat. Commun. 2025, 16, 5084. [Google Scholar] [CrossRef]
  25. Ling, C.; Yang, J.; Xu, J.; Tang, W.; Liu, Y.; Wang, Y.; Li, P.; He, Y.; Ouyang, Z.; Chen, S.; et al. Natural Variation of AcEGY3 Mediates Chloroplastic ROS Homeostasis to Confer Kiwifruit Thermotolerance. Nat. Commun. 2025, 16, 6184. [Google Scholar] [CrossRef]
  26. Percival, G. The Use Of Chlorophyll Fluorescence To Identify Chemical And Environmental Stress In Leaf Tissue of Three Oak (Quercus) Species. Arboric. Urban For. 2005, 31, 215–227. [Google Scholar] [CrossRef]
  27. Allakhverdiev, S.I.; Kreslavski, V.D.; Klimov, V.V.; Los, D.A.; Carpentier, R.; Mohanty, P. Heat Stress: An Overview of Molecular Responses in Photosynthesis. Photosynth. Res. 2008, 98, 541–550. [Google Scholar] [CrossRef]
  28. Franklin, L.A. The Effects of Temperature Acclimation on the Photoinhibitory Responses of Ulva rotundata Blid. Planta 1994, 192, 324–331. [Google Scholar] [CrossRef]
  29. Doğru, A. Effects of Heat Stress on Photosystem II Activity and Antioxidant Enzymes in Two Maize Cultivars. Planta 2021, 253, 85. [Google Scholar] [CrossRef]
  30. Marutani, Y.; Yamauchi, Y.; Miyoshi, A.; Inoue, K.; Ikeda, K.; Mizutani, M.; Sugimoto, Y. Regulation of Photochemical Energy Transfer Accompanied by Structural Changes in Thylakoid Membranes of Heat-Stressed Wheat. Int. J. Mol. Sci. 2014, 15, 23042–23058. [Google Scholar] [CrossRef]
  31. Cai, W.; Zhang, D.; Zhang, X.; Chen, Q.; Liu, Y.; Lin, L.; Xiang, L.; Yang, Y.; Xu, L.; Yu, X.; et al. Leaf Color Change and Photosystem Function Evaluation under Heat Treatment Revealed the Stress Resistance Variation between Loropetalum chinense and L. chinense Var rubrum. PeerJ 2023, 11, e14834. [Google Scholar] [CrossRef]
  32. Li, Z.; Cheng, B.; Wu, X.; Zhang, Y.; Feng, G.; Peng, Y. Spermine-Mediated Metabolic Homeostasis Improves Growth and Stress Tolerance in Creeping Bentgrass (Agrostis stolonifera) under Water or High-Temperature Stress. Front. Plant Sci. 2022, 13, 944358. [Google Scholar] [CrossRef]
  33. Jeon, Y.-C.; Paik, J.-H.; Yun, N.; Choi, S.; Lee, Y. The Complete Chloroplast Genome of Elsholtzia byeonsanensis M. Kim, an Endemic Species in Korea. Mitochondrial DNA Part B 2022, 7, 2025–2026. [Google Scholar] [CrossRef]
  34. Li, Y.; Liang, W.; Zhao, B. Physiological and Microstructural Responses of Two Rhododendron Cultivars to High Temperature and Low Light. Hortic. Environ. Biotechnol. 2020, 61, 445–458. [Google Scholar] [CrossRef]
  35. Al-Yasi, H.; Attia, H.; Alamer, K.; Hassan, F.; Ali, E.; Elshazly, S.; Siddique, K.H.M.; Hessini, K. Impact of Drought on Growth, Photosynthesis, Osmotic Adjustment, and Cell Wall Elasticity in Damask Rose. Plant Physiol. Biochem. 2020, 150, 133–139. [Google Scholar] [CrossRef] [PubMed]
  36. Campos, H.; Trejo, C.; Peña-Valdivia, C.B.; García-Nava, R.; Conde-Martínez, F.V.; Cruz-Ortega, M.R. Stomatal and Non-Stomatal Limitations of Bell Pepper (Capsicum annuum L.) Plants under Water Stress and Re-Watering: Delayed Restoration of Photosynthesis during Recovery. Environ. Exp. Bot. 2014, 98, 56–64. [Google Scholar] [CrossRef]
  37. Balfagón, D.; Zandalinas, S.I.; Mittler, R.; Gómez-Cadenas, A. High Temperatures Modify Plant Responses to Abiotic Stress Conditions. Physiol. Plant. 2020, 170, 335–344. [Google Scholar] [CrossRef]
  38. Shen, H.F.; Zhao, B.; Xu, J.J.; Liang, W.; Huang, W.M.; Li, H.H. Effects of Heat Stress on Changes in Physiology and Anatomy in Two Cultivars of Rhododendron. S. Afr. J. Bot. 2017, 112, 338–345. [Google Scholar] [CrossRef]
  39. He, F.; Zhao, X.; Qi, G.; Sun, S.; Shi, Z.; Niu, Y.; Wu, Z.; Zhou, W. Exogenous Melatonin Alleviates NaCl Injury by Influencing Stomatal Morphology, Photosynthetic Performance, and Antioxidant Balance in Maize. Int. J. Mol. Sci. 2024, 25, 10077. [Google Scholar] [CrossRef]
  40. Stefi, A.L.; Papaioannou, V.; Nikou, T.; Halabalaki, M.; Vassilacopoulou, D.; Christodoulakis, N.S. Heat and Cold-Stressed Individuals of Pistacia Lentiscus (Mastic Tree) Do Modify Their Secreting Profile. Plants 2022, 11, 3290. [Google Scholar] [CrossRef]
  41. Yu, J.; Li, P.; Tu, S.; Feng, N.; Chang, L.; Niu, Q. Identification of Heat-Resistant Varieties of Non-Headed Chinese Cabbage and Discovery of Heat-Resistant Physiological Mechanisms. Horticulturae 2023, 9, 619. [Google Scholar] [CrossRef]
  42. Tang, H.; Zhang, L.; Xie, X.; Wang, Y.; Wang, T.; Liu, C. Resilience of Maize to Environmental Stress: Insights into Drought and Heat Tolerance. Int. J. Mol. Sci. 2025, 26, 5274. [Google Scholar] [CrossRef]
  43. Serrano, N.; Ling, Y.; Bahieldin, A.; Mahfouz, M.M. Thermopriming Reprograms Metabolic Homeostasis to Confer Heat Tolerance. Sci. Rep. 2019, 9, 181. [Google Scholar] [CrossRef] [PubMed]
  44. Cheng, H.; Wan, Z.; Xu, Y.; Shen, J.; Li, X.; Jin, S. Transcriptome and Photosynthetic Analyses Provide New Insight into the Molecular Mechanisms Underlying Heat Stress Tolerance in Rhododendron × Pulchrum Sweet. Tree Physiol. 2024, 44, tpad133. [Google Scholar] [CrossRef]
  45. Murchie, E.H.; Lawson, T. Chlorophyll Fluorescence Analysis: A Guide to Good Practice and Understanding Some New Applications. J. Exp. Bot. 2013, 64, 3983–3998. [Google Scholar] [CrossRef]
  46. Tan, F.-Q.; Tu, H.; Liang, W.-J.; Long, J.-M.; Wu, X.-M.; Zhang, H.-Y.; Guo, W.-W. Comparative Metabolic and Transcriptional Analysis of a Doubled Diploid and Its Diploid Citrus Rootstock (C. junos Cv. Ziyang Xiangcheng) Suggests Its Potential Value for Stress Resistance Improvement. BMC Plant Biol. 2015, 15, 89. [Google Scholar] [CrossRef]
  47. Wei, T.; Wang, Y.; Xie, Z.; Guo, D.; Chen, C.; Fan, Q.; Deng, X.; Liu, J. Enhanced ROS Scavenging and Sugar Accumulation Contribute to Drought Tolerance of Naturally Occurring Autotetraploids in Poncirus trifoliata. Plant Biotechnol. J. 2019, 17, 1394–1407. [Google Scholar] [CrossRef]
  48. Guo, C.; Bao, X.; Sun, H.; Zhu, L.; Zhang, Y.; Zhang, K.; Bai, Z.; Zhu, J.; Liu, X.; Li, A.; et al. Optimizing Root System Architecture to Improve Cotton Drought Tolerance and Minimize Yield Loss during Mild Drought Stress. Field Crops Res. 2024, 308, 109305. [Google Scholar] [CrossRef]
Figure 1. The phenotypes of eight Rhododendron taxa under control, heat stress, and after 7 d recovery.
Figure 1. The phenotypes of eight Rhododendron taxa under control, heat stress, and after 7 d recovery.
Plants 14 03664 g001
Figure 2. Chlorophyll fluorescence responses of eight Rhododendron taxa under control, heat stress, and recovery conditions. (A,C) Chlorophyll fluorescence images Fv/Fm and Y(II) of eight Rhododendron taxa under control conditions, after 24 h of heat stress, and following 7 d of recovery. (B,D) Temporal changes in Fv/Fm and Y(II) of the eight taxa during heat stress and the 7 d recovery period. Data represent mean ± SD (n = 3). Different letters indicate significant differences among taxa at each time point based on one-way ANOVA followed by Duncan’s multiple range test (p < 0.05).
Figure 2. Chlorophyll fluorescence responses of eight Rhododendron taxa under control, heat stress, and recovery conditions. (A,C) Chlorophyll fluorescence images Fv/Fm and Y(II) of eight Rhododendron taxa under control conditions, after 24 h of heat stress, and following 7 d of recovery. (B,D) Temporal changes in Fv/Fm and Y(II) of the eight taxa during heat stress and the 7 d recovery period. Data represent mean ± SD (n = 3). Different letters indicate significant differences among taxa at each time point based on one-way ANOVA followed by Duncan’s multiple range test (p < 0.05).
Plants 14 03664 g002
Figure 3. Ultrastructure of leaf epidermal cells of eight Rhododendron taxa under control, heat stress, and after 7 d of recovery. The analysis focuses on stomatal morphology, comparing heat stress-induced changes in stomatal characteristics among taxa. Scale bar = 50 μm.
Figure 3. Ultrastructure of leaf epidermal cells of eight Rhododendron taxa under control, heat stress, and after 7 d of recovery. The analysis focuses on stomatal morphology, comparing heat stress-induced changes in stomatal characteristics among taxa. Scale bar = 50 μm.
Plants 14 03664 g003
Figure 4. Leaf tissue structure images of eight Rhododendron taxa under control (CK), heat stress, and after 7 d of recovery. Scale bar = 100 μm. Sections show variations in mesophyll and epidermal structure across taxa.
Figure 4. Leaf tissue structure images of eight Rhododendron taxa under control (CK), heat stress, and after 7 d of recovery. Scale bar = 100 μm. Sections show variations in mesophyll and epidermal structure across taxa.
Plants 14 03664 g004
Figure 5. Physiological and biochemical indicators of eight Rhododendron taxa under control (CK), heat stress, and recovery. (A) Relative water content (RWC); (B) electrolyte leakage (EL); (C) malondialdehyde (MDA) content; (D) proline (Pro) content. Data are mean ± SD (n = 3). Different lowercase letters indicate significant differences among taxa under the same treatment (p < 0.05).
Figure 5. Physiological and biochemical indicators of eight Rhododendron taxa under control (CK), heat stress, and recovery. (A) Relative water content (RWC); (B) electrolyte leakage (EL); (C) malondialdehyde (MDA) content; (D) proline (Pro) content. Data are mean ± SD (n = 3). Different lowercase letters indicate significant differences among taxa under the same treatment (p < 0.05).
Plants 14 03664 g005
Figure 6. (A) Correlation matrix showing Pearson correlation coefficients among the measured physiological parameters in eight Rhododendron taxa under control, heat stress, and 7 d recovery conditions. Circle size and color scale indicate the strength and direction of correlations. Note: Significance levels are denoted as follows: * p < 0.05, ** p < 0.01, and *** p < 0.001. (B) Principal component analysis (PCA) score-loading biplot illustrating the distribution of samples in response to control, heat stress, and recovery treatments. Ellipses indicate the 95% confidence intervals for each treatment group.
Figure 6. (A) Correlation matrix showing Pearson correlation coefficients among the measured physiological parameters in eight Rhododendron taxa under control, heat stress, and 7 d recovery conditions. Circle size and color scale indicate the strength and direction of correlations. Note: Significance levels are denoted as follows: * p < 0.05, ** p < 0.01, and *** p < 0.001. (B) Principal component analysis (PCA) score-loading biplot illustrating the distribution of samples in response to control, heat stress, and recovery treatments. Ellipses indicate the 95% confidence intervals for each treatment group.
Plants 14 03664 g006
Table 1. Morphological performance of eight Rhododendron taxa under control, heat stress, and 7 d after recovery.
Table 1. Morphological performance of eight Rhododendron taxa under control, heat stress, and 7 d after recovery.
VarietyCKHeat StressRecovery 2 dRecovery 4 dRecovery 7 d
R. oldhamiiIIIIIVIVIII
R. × pulchrumIIIIIVIIIIII
R. kiangsienseIIIIIIIII
R. liliiflorumIIIIIIIII
R. fortuneiIIIIIII
R. simiarumIIIIIII
R. latoucheaeIIIIII
R. ovatumIIIIII
Table 2. Ultrastructure of leaf epidermal cells of eight Rhododendron taxa under control, heat stress, and after 7 d recovery. Data represent mean ± SD (n = 3). Different lowercase letters indicate significant differences among taxa under the same treatment based on one-way ANOVA followed by Duncan’s multiple range test (p < 0.05).
Table 2. Ultrastructure of leaf epidermal cells of eight Rhododendron taxa under control, heat stress, and after 7 d recovery. Data represent mean ± SD (n = 3). Different lowercase letters indicate significant differences among taxa under the same treatment based on one-way ANOVA followed by Duncan’s multiple range test (p < 0.05).
VarietyTreatmentStomatal Length
(μm)
Stomatal Width
(μm)
Stomatal Area
(μm2)
Stomatal Density
(stomata/mm2)
R. oldhamiiCK23.13 ± 0.89 a14.43 ± 0.40 a270.20 ± 7.20 a300 ± 5 c
Heat stress19.86 ± 0.32 c11.57 ± 1.61 b223.85 ± 6.75 b400 ± 6 a
Recovery 7 d21.48 ± 0.36 b13.50 ± 0.27 ab242.68 ± 29.50 ab333 ± 5 b
R.× pulchrumCK23.87 ± 0.90 a10.38 ± 0.71 a182.91 ± 3.38 a267 ± 5 c
Heat stress19.19 ± 0.37 c8.83 ± 0.92 b139.40 ± 0.53 c400. ± 4 a
Recovery 7 d20.68 ± 0.79 b9.83 ± 0.27 b169.37 ± 0.98 b333 ± 5 b
R. kiangsienseCK20.56 ± 0.26 a11.43 ± 0.32 a215.87 ± 2.66 a300 ± 4 c
Heat stress16.75 ± 0.20 b10.11 ± 0.58 b136.04 ± 1.43 c400 ± 2 a
Recovery 7 d16.80 ± 0.12 b10.15 ± 0.07 b145.68 ± 3.29 b333 ± 7 b
R. liliiflorumCK18.94 ± 0.73 a10.18 ± 0.16 a152.44 ± 6.04 a300 ± 2 c
Heat stress18.60 ± 0.10 a8.08 ± 1.04 b130.46 ± 8.45 b433 ± 3 a
Recovery 7 d18.78 ± 0.07 a10.39 ± 0.22 a144.90 ± 2.13 a333 ± 1 b
R. fortuneiCK18.73 ± 1.07 a11.86 ± 1.42 a195.17 ± 3.48 a300 ± 2 c
Heat stress18.15 ± 0.89 a8.75 ± 1.22 b145.62 ± 2.57 c400 ± 3 a
Recovery 7 d18.12 ± 0.75 a9.50 ± 0.60 b159.10 ± 4.59 b367 ± 2 b
R. simiarumCK24.55 ± 1.21 a13.38 ± 0.47 a245.42 ± 4.83 a333 ± 2 b
Heat stress23.24 ± 0.16 a11.73 ± 0.16 c221.87 ± 1.63 c367 ± 3 a
Recovery 7 d23.85 ± 0.01 a12.48 ± 0.27 b230.47 ± 0.17 b367 ± 5 a
R. latoucheaeCK29.03 ± 0.35 a15.72 ± 0.10 a332.41 ± 2.23 a267 ± 6 b
Heat stress23.74 ± 0.25 c13.98 ± 0.75 b243.24 ± 1.03 c367 ± 2 a
Recovery 7 d26.20 ± 0.72 b14.31 ± 0.41 b280.24 ± 6.57 b364 ± 3 a
R. ovatumCK26.91 ± 1.65 a16.62 ± 0.32 a332.21 ± 5.53 a300 ± 2 b
Heat stress22.23 ± 1.95 b14.45 ± 0.23 b258.27 ± 5.90 c367 ± 5 a
Recovery 7 d24.96 ± 0.52 ab14.76 ± 0.48 b285.93 ± 10.46 b300 ± 3 b
Table 3. Leaf anatomical structure of eight Rhododendron taxa under control, heat stress, and after 7 d recovery. Data represent mean ± SD (n = 3). Different lowercase letters indicate significant differences among taxa under the same treatment based on one-way ANOVA followed by Duncan’s multiple range test (p < 0.05).
Table 3. Leaf anatomical structure of eight Rhododendron taxa under control, heat stress, and after 7 d recovery. Data represent mean ± SD (n = 3). Different lowercase letters indicate significant differences among taxa under the same treatment based on one-way ANOVA followed by Duncan’s multiple range test (p < 0.05).
VarietyTreatmentUpper
Epidermis
Thickness
(μm)
Lower
Epidermis
Thickness
(μm)
Palisade
Mesophyll
Thickness
(μm)
Spongy
Mesophyll
Thickness
(μm)
Ratio of Palisade
Thickness
to Spongy
Thickness
R. oldhamiiCK17.74 ± 0.35 a18.54 ± 0.57 a43.44 ± 0.55 c68.96 ± 0.63 a0.63 ± 0.01 c
Heat stress12.79 ± 1.00 c13.25 ± 0.53 c62.44 ± 0.88 a56.90 ± 0.51 c1.10 ± 0.02 a
Recovery 7 days15.02 ± 0.70 b14.60 ± 0.14 b53.20 ± 0.57 b65.31 ± 1.24 b0.81 ± 0.02 b
R. × pulchrumCK18.58 ± 0.80 a15.82 ± 0.39 a38.31 ± 0.36 c77.77 ± 1.18 a0.49 ± 0.01 c
Heat stress14.82 ± 0.11 b10.16 ± 0.10 c57.44 ± 0.42 a56.72 ± 0.77 c1.01 ± 0.01 a
Recovery 7 days17.74 ± 0.90 a12.44 ± 0.07 b41.12 ± 0.76 b59.50 ± 0.62 b0.69 ± 0.01 b
R. kiangsienseCK26.16 ± 0.59 a12.68 ± 0.64 a115.57 ± 1.01 c123.32 ± 1.11 a0.94 ± 0.01 b
Heat stress23.61 ± 0.51 b9.70 ± 0.14 c123.04 ± 1.00 a111.32 ± 1.37 b1.11 ± 0.02 b
Recovery 7 days25.34 ± 1.13 a10.52 ± 0.27 b117.79 ± 0.81 b122.63 ± 1.08 a0.96 ± 0.01 b
R. liliiflorumCK30.83 ± 0.82 a30.73 ± 0.83 a104.98 ± 1.57 b163.11 ± 2.30 a0.64 ± 0.02 c
Heat stress27.96 ± 0.87 b19.13 ± 0.84 c115.80 ± 0.96 a122.73 ± 1.42 c0.94 ± 0.02 a
Recovery 7 days29.57 ± 1.01 ab27.71 ± 0.45 b106.46 ± 1.06 b146.76 ± 1.99 b0.73 ± 0.02 b
R. fortuneiCK19.87 ± 0.92 a14.47 ± 0.25 a92.81 ± 1.82 c140.72 ± 0.30 a0.66 ± 0.01 c
Heat stress14.43 ± 0.23 c11.50 ± 0.64 c103.11 ± 0.46 a122.44 ± 0.76 c0.84 ± 0.01 a
Recovery 7 days17.09 ± 1.70 b12.80 ± 0.72 b96.52 ± 1.32 b132.12 ± 1.15 b0.73 ± 0.01 b
R. simiarumCK30.01 ± 0.65 a27.16 ± 1.27 a56.01 ± 0.20 c145.27 ± 1.11 a0.39 ± 0.01 c
Heat stress26.50 ± 0.89 c16.34 ± 0.94 c73.33 ± 2.19 a133.21 ± 3.08 c0.55 ± 0.03 a
Recovery 7 days28.14 ± 0.74 b21.01 ± 0.39 b64.08 ± 0.27 b140.58 ± 0.49 b0.46 ± 0.01 b
R. atoucheaeCK12.92 ± 0.60 a17.20 ± 1.16 a80.36 ± 0.05 c164.96 ± 1.52 a0.49 ± 0.01 c
Heat stress9.63 ± 0.06 b14.26 ± 0.49 b106.92 ± 1.66 a141.35 ± 1.49 c0.76 ± 0.00 a
Recovery 7 days12.85 ± 0.86 a15.29 ± 0.29 b96.38 ± 0.87 b158.05 ± 0.55 b0.64 ± 0.01 b
R. ovatumCK14.13 ± 0.64 a13.03 ± 0.43 a75.74 ± 2.26 c130.65 ± 1.69 a0.58 ± 0.02 c
Heat stress10.05 ± 0.51 c9.60 ± 0.31 c100.43 ± 1.87 a98.25 ± 1.24 c1.02 ± 0.03 a
Recovery 7 days12.01 ± 0.28 b10.94 ± 0.34 b85.84 ± 1.37 b110.88 ± 1.93 b0.77 ± 0.02 b
Table 4. Eigenvectors and contributions of thermotolerance indicators in eight Rhododendron taxa.
Table 4. Eigenvectors and contributions of thermotolerance indicators in eight Rhododendron taxa.
IndexPrincipal Component
123456
Fv/Fm0.430.37−0.570.400.34−0.16
Y(II)0.80−0.06−0.32−0.030.40−0.10
NPQ−0.180.64−0.240.61−0.18−0.10
qP0.740.31−0.34−0.070.230.17
qN−0.470.71−0.350.24−0.06−0.02
Y(NPQ)−0.540.62−0.280.36−0.19−0.14
Y(NO)−0.20−0.820.32−0.110.240.05
ETR0.870.22−0.22−0.180.07−0.16
Stomatal length0.140.730.47−0.27−0.150.17
Stomatal width0.070.730.63−0.130.000.02
Stomatal area0.050.750.60−0.210.020.08
Stomatal density−0.67−0.42−0.120.380.030.38
Upper epidermis thickness0.55−0.52−0.190.15−0.480.16
Lower epidermis thickness0.61−0.02−0.080.14−0.500.47
Palisade mesophyll thickness0.06−0.560.410.600.17−0.16
Spongy mesophyll thickness0.56−0.060.440.53−0.160.14
RWC0.610.020.540.27−0.12−0.32
EL−0.65−0.090.400.04−0.03−0.30
MDA−0.270.340.150.240.630.53
Pro−0.45−0.02−0.63−0.42−0.210.00
Eigenvalue5.244.763.222.041.471.07
Contribution rate (%)26.2023.7916.1010.197.345.33
Cumulative contribution rate (%)26.2050.0066.1076.2983.6288.96
Table 5. Comprehensive index value, membership function value, D value, and comprehensive evaluation of eight Rhododendron taxa.
Table 5. Comprehensive index value, membership function value, D value, and comprehensive evaluation of eight Rhododendron taxa.
VarietyTreatmentMembership FunctionD ValueOrder
U (X1)U (X2)U (X3)U (X4)U (X5)U (X6)
R. oldhamiiCK0.850.730.430.520.330.440.600.5553
Heat stress0.530.370.510.420.261.000.49
Recovery 7 days0.780.520.620.540.230.600.58
R. pulchrumCK1.000.480.300.450.190.030.490.4018
Heat stress0.350.090.560.000.380.330.28
Recovery 7 days0.760.270.660.230.260.020.43
R. kiangsienseCK0.750.380.000.890.230.200.450.4407
Heat stress0.520.000.160.960.100.450.36
Recovery 7 days0.800.010.670.990.110.200.51
R. liliiflorumCK0.710.240.340.890.930.190.550.4986
Heat stress0.260.060.210.800.740.380.36
Recovery 7 days0.740.070.761.000.730.180.59
R. fortuneiCK0.920.290.360.850.180.270.530.5045
Heat stress0.620.010.390.820.170.630.43
Recovery 7 days0.790.030.810.920.210.360.55
R. simiarumCK0.710.700.320.671.000.330.620.5982
Heat stress0.430.460.330.740.620.440.49
Recovery 7 days0.570.431.000.760.860.290.66
R.atoucheaeCK0.891.000.360.840.350.500.710.6801
Heat stress0.540.560.570.910.310.910.62
Recovery 7 days0.710.620.730.950.380.810.71
R. ovatumCK0.430.990.450.810.350.070.580.5104
Heat stress0.000.650.500.870.000.110.39
Recovery 7 days0.460.700.810.920.010.000.57
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Guo, W.; Wei, J.; Yu, H.; Wang, Y.; Zhang, J.; Wang, S. Integrating Chlorophyll Fluorescence with Anatomical and Physiological Analyses Reveals Interspecific Variation in Heat Tolerance Among Eight Rhododendron Taxa. Plants 2025, 14, 3664. https://doi.org/10.3390/plants14233664

AMA Style

Guo W, Wei J, Yu H, Wang Y, Zhang J, Wang S. Integrating Chlorophyll Fluorescence with Anatomical and Physiological Analyses Reveals Interspecific Variation in Heat Tolerance Among Eight Rhododendron Taxa. Plants. 2025; 14(23):3664. https://doi.org/10.3390/plants14233664

Chicago/Turabian Style

Guo, Wenfang, Jiaxin Wei, Hao Yu, Yurui Wang, Jingli Zhang, and Shusheng Wang. 2025. "Integrating Chlorophyll Fluorescence with Anatomical and Physiological Analyses Reveals Interspecific Variation in Heat Tolerance Among Eight Rhododendron Taxa" Plants 14, no. 23: 3664. https://doi.org/10.3390/plants14233664

APA Style

Guo, W., Wei, J., Yu, H., Wang, Y., Zhang, J., & Wang, S. (2025). Integrating Chlorophyll Fluorescence with Anatomical and Physiological Analyses Reveals Interspecific Variation in Heat Tolerance Among Eight Rhododendron Taxa. Plants, 14(23), 3664. https://doi.org/10.3390/plants14233664

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop