1. Introduction
The apricot flowers, a symbol of spring in China, are particularly vulnerable to low-temperature frost damage, especially in regions like Shanxi [
1]. In recent years, sudden temperature drops during the blooming season have frequently occurred, hindering pollination and causing significant production losses [
2]. To mitigate this threat, farmers have implemented strategies including improved orchard management and advanced weather tracking [
3]. However, due to the uncertainty of climate change, late frost damage remains a significant issue in apricot production. Therefore, further research is needed to enhance the cold tolerance of apricot trees and ensure sustainable production.
Many studies have been dedicated to elucidating the mechanisms by which apricot flowers endure and respond to cold stress, as well as the genetic diversity in frost tolerance among various cultivars. In a study, Pakkish and Tabatabaienia [
4] explored the application and mechanism of nitric oxide (NO) in preventing frost damage to apricot flowers. They demonstrated that NO treatment significantly reduced freezing injury, lipid peroxidation, and ion leakage, suggesting a role for NO in enhancing the antioxidant capacity of apricot flowers and altering solute content to improve cold tolerance. Kaya and Kose [
5] utilized differential thermal analysis (DTA) to determine the cell death points (CDPs) in different apricot flower organs at subzero temperatures. Their findings revealed distinct sensitivities among various organs, with the receptacle being the most sensitive and the pistil the most tolerant, providing valuable insights into the structural vulnerabilities of apricot flowers to frost. Extending the research to a broader temporal scale, Kaya et al. [
6] investigated the exothermic processes associated with late spring frost injury in apricot flower buds. Their work highlighted the changes in cold tolerance as the buds developed, indicating a dynamic response to environmental conditions. In a long-term study spanning 15 years, Szalay et al. [
7] assessed the cold hardiness of apricot flower buds and flowers during the blooming period. They found that both genotype and year were significant factors affecting frost tolerance, with the later stages of flowering showing a greater influence of genotype. This research underscores the importance of considering both genetic and environmental factors in breeding programs aimed at improving frost resistance in apricot.
While previous studies have delved into the physiological reactions of apricot flowers to cold stress [
8,
9], a systematic and comprehensive understanding of the plant’s adaptive strategies remains elusive. There remains a gap in knowledge regarding the integrated response of apricot flowers to the full spectrum of low-temperature conditions, from mild to severe frost. A more thorough investigation is required to elucidate the complex interplay between various physiological responses and to identify the key factors that determine the success or failure of cold tolerance in apricot flowers.
This study aims to address this knowledge gap by conducting a comprehensive analysis of the physiological responses of apricot flowers to a gradient of low temperatures. The research will focus on several critical aspects, including changes in the phenotypic appearance and anatomical structure of the flowers, alterations in membrane permeability and lipid peroxidation, fluctuations in the content of osmoregulatory substances, and the enzymatic activities of the antioxidant system. By examining these elements in a systematic manner, we seek to uncover the underlying mechanisms that enable apricot flowers to withstand cold stress and to identify potential targets for genetic improvement or management practices aimed at enhancing cold tolerance.
3. Discussion
The experimental results presented in this study offer a comprehensive understanding of the physiological responses of apricot flowers to low-temperature stress, revealing the intricate interplay between cellular damage, osmoregulation, and antioxidant defense mechanisms. The findings provide valuable insights into the adaptive strategies of apricot flowers and the critical thresholds for cold tolerance.
Numerous studies have demonstrated that the impact of low temperatures can lead to significant physiological and morphological changes in plants [
8,
10]. In this study, the phenotypic and anatomical changes observed in apricot flowers under low-temperature gradients are indicative of the severity of cold stress. The progressive browning and structural deterioration, particularly at temperatures below −5 °C, suggest a loss of cellular integrity and function. These changes are consistent with the increased browning rate and REC, which are markers of cellular damage. The accumulation of H
2O
2 and the rise in MDA content further confirm the oxidative stress and membrane lipid peroxidation experienced by the flowers, leading to cell death.
The increase in osmoregulatory substances such as soluble sugars and proteins up to −5 °C indicates an initial adaptive response to cold stress. These substances likely serve as osmoprotectants, helping to maintain cell turgor and stabilize cellular structures [
11,
12]. However, the subsequent decrease in content at lower temperatures may be due to the inhibition of normal metabolic processes, suggesting that the cold tolerance mechanisms of apricot flowers have limitations.
Proline (Pro), also a versatile osmoprotectant [
13,
14], is pivotal in enhancing plant resistance. It contributes to cellular osmotic equilibrium and structural integrity, particularly under stress [
15,
16]. Pro’s accumulation is instrumental in stabilizing proteins and membranes under various stress conditions, reducing oxidative stress [
17,
18]. Its antioxidant capabilities are crucial for neutralizing reactive oxygen species (ROS), thus protecting cells from oxidative harm [
19,
20]. These attributes render Pro an essential factor in plants’ adaptation to harsh conditions. In this study, the consistent increase in Pro content across all temperatures is particularly noteworthy. Its accumulation may be a key factor in the cold acclimation process of apricot flowers, although further research is needed to elucidate its exact role.
The enzymatic activities within the antioxidant system are instrumental in bolstering plant resilience [
21,
22]. Enzymes, including CAT, POD, SOD, and APX, synergistically combat the harmful effects of ROS, safeguarding plant cells from oxidative stress [
23,
24]. Their catalytic actions in the reduction and decomposition of ROS help to uphold the cellular redox equilibrium, which is essential for maintaining cellular integrity and enhancing the plant’s adaptive capacity to environmental challenges [
25,
26]. In the present study, the enzymatic activities of the antioxidant system showed a complex response pattern to low temperatures. The initial increase in activity up to −4 °C suggests an active defense against ROS generated during cold stress. However, the subsequent decline in activity at temperatures below −4 °C may indicate a saturation point or the inactivation of these enzymes due to extreme cold. The differential response of CAT and POD versus SOD and APX could be attributed to their distinct roles and sensitivities to temperature changes.
Correlation analysis revealed significant relationships between various physiological indicators, highlighting the interconnected nature of cold stress responses. The highly significant positive correlations between osmoregulatory substances and antioxidant enzyme activities, as well as between H2O2 and membrane permeability indicators, suggest a coordinated response to mitigate cold damage. The significant negative correlation between H2O2 and antioxidant enzyme activities, particularly CAT and POD, may indicate a regulatory mechanism where ROS levels are tightly controlled to prevent excessive oxidative stress.
PCA further supported the findings by identifying the key determinants of cold resistance in apricot flowers. The first principal component, which included SP, SS, H2O2, and MDA, reflects the overall cellular damage and osmotic stress. The second principal component, determined by CAT and APX, underscores the importance of antioxidant enzymes in the cold stress response. The PCA results indicate that while osmotic adjustment and antioxidant defense are crucial for cold tolerance, the effectiveness of these mechanisms is temperature-dependent.
This study focuses on the flowering stage because there is a significant difference in the tree’s sensitivity to cold stress between the preflowering period, when buds are dormant, and the peak blooming period. Typically, dormant buds, due to their reduced metabolic rate, possess enhanced cold resistance, allowing them to more effectively endure cold temperatures [
6,
7,
8]. Furthermore, the capacity for cold resistance during the flowering period varies among different
Prunus species. Certain species, such as the
Prunus sibirica, demonstrate superior cold hardiness, attributed to their adaptation to chillier climates; in contrast, others like the
Prunus mume show greater sensitivity to cold, likely due to their natural habitat in more temperate zones [
27]. This diversity in cold resistance is presumably influenced by a combination of genetic predispositions and the distinct environmental challenges that have molded the evolutionary journey of each species.
In conclusion, the study provides a detailed analysis of the physiological responses of apricot flowers to low-temperature stress, highlighting the importance of temperature in determining the success of these responses. The findings suggest that while apricot flowers have certain adaptive mechanisms to cope with cold stress, there are critical thresholds beyond which these mechanisms are overwhelmed. This knowledge can be instrumental in developing strategies to improve the cold tolerance of apricot cultivars, potentially through breeding or genetic engineering approaches. Future research should focus on the molecular mechanisms underlying these responses and the identification of genetic markers for cold tolerance, which could lead to the development of more resilient apricot varieties for cultivation in colder climates.
4. Materials and Methods
4.1. Plant Materials
The apricots (Prunus armeniaca L. cv. Golden Sun) were sourced from the orchards of Taigu County, situated in Jinzhong City, Shanxi Province. The samples were harvested during early flowering stage when a flower’s buds have grown significantly and are on the verge of opening. To ensure methodological rigor, a selection criterion was established, mandating uniformity across orchard cultivation practices, tree vitality, environmental settings, and agricultural management standards, leading to the random selection of a cohort of 10 trees. From each of these trees, a set of 20–25 fruit-bearing branches, each measuring between 15 to 20 cm, were excised from the cardinal points—east, west, south, and north—at a standardized height of 1.5 m from the ground. After harvest, the branches were immersed in a 3% sucrose solution for an acclimatization treatment, with 50–60% of the apricot blossoms in full bloom. Subsequently, they were carefully transported to the laboratory for further experimental procedures.
4.2. Low-Temperature Treatment
Ten treatment temperatures were established at 18 °C, 0 °C, −1 °C, −2 °C, −3 °C, −4 °C, −5 °C, −6 °C, −7 °C, and −8 °C. Apricot short fruiting branches during the flowering stage were inserted into flower foam that had been soaked in water for 24 h (20 branches per block of foam, with each branch serving as one replicate). These were then placed in a PERCIVAL low-temperature incubator to simulate a low-temperature environment. The low-temperature incubator starts by cooling down first. Then, it slowly drops 1 °C every hour until it hits the target temperature, staying there for 1 h. After that, it warms up by 10 °C every 30 min until it reaches room temperature. Observations were made after a 12 h recovery period at room temperature. During the low-temperature stress, a small number of pistils were collected and fixed with FAA fixative. After a 3 h recovery at room temperature, a portion of the apricot flowers was used for the statistical analysis and measurement of browning rate and electrical conductivity (with the calyx removed). The other portion of the apricot flowers was preserved in liquid nitrogen and stored in a −80 °C ultra-low-temperature freezer for the determination of physiological indicators.
4.3. Measurement Methods
4.3.1. Observation of Flower Phenotype and Browning Rate
After the low-temperature stress treatment, 100 flowers were randomly selected and observed for the degree of browning after a 3 h recovery period at room temperature. The browning rates of petals and stigmas were meticulously observed and documented. Floral organs that had suffered from frost damage took on shades of brown or black, in contrast to those that remained unscathed, which retained their fresh and vibrant green color. The results were statistically analyzed and the process was repeated three times.
4.3.2. Observation of the Anatomical Structure of the Apricot Flower
The pistil materials, fixed with FAA (formaldehyde 38%, glacial acetic acid, and 70% alcohol in a ratio of 1:1:18), were dehydrated sequentially using ethanol of varying concentrations [
28]. They were then cleared in a mixture of ethanol and n-butanol in different ratios, followed by infiltration with a solution of n-butanol and paraffin wax in varying proportions. Finally, the samples were embedded in embedding boxes, cooled, and subjected to continuous sectioning at a thickness of 8 μm. The sections were then stained with safranin and fast green and mounted.
4.3.3. Relative Conductivity Determination
We weighed out 0.5 g of the treated fresh flowers, cut them into small pieces, and placde them into a conical flask containing 10 mL of distilled water. After allowing the mixture to stand for 24 h, it was shaken for 20 min to measure the initial electrical conductivity. Then, we immersed the flask in boiling water for 30 min. After cooling to room temperature, we measured the final electrical conductivity [
29]. Measurement of electrical conductivity was performed by laboratory conductivity meter Cond 720 (WTW Inolab, Weilheim, Germany).
The calculation of the lethal temperature (LT
50) was performed by measuring the relative electrical conductivity of apricot flowers after low-temperature stress [
30]. The data were fitted to a logistic regression equation: Y = K/(1 + ae
−bx). In this equation, Y represents the relative electrical conductivity, K is the asymptotic relative electrical conductivity, and a and b are parameters of the equation, with x denoting the temperature. By calculating the second derivative of the logistic regression equation and setting it to zero, the inflection point temperature (LT
50) can be determined. The LT
50 is then used to calculate the lethal temperature using the formula LT
50 = (lna)/b.
4.3.4. Membrane Lipid Peroxisome Determination
The determination of H2O2 and MDA in apricot flowers was conducted using assay kits from Nanjing Jiancheng, following the manufacturer’s instructions. Samples were ground in a mortar with liquid nitrogen, and 0.15 g was immediately weighed out after thorough grinding. This was then added to 10 mL of 0.1 mol/L phosphate buffer solution at pH = 7.8. After centrifugation at 4 °C, the supernatant was placed in an ice bath for the measurement of various physiological parameters. The reaction of H2O2 with molybdic acid produced a complex, and its absorbance was measured at 405 nm; MDA reacted with thiobarbituric acid to form a red product, and its absorbance was measured at 532 nm.
4.3.5. Determination of the Content of Osmoregulatory Substances
Plant soluble sugars, soluble proteins, and proline were determined using the Plant Soluble Sugars, Soluble Proteins, and Proline Assay Kit (Nanjing Jiancheng, Nanjing, China), following the instructions. Samples were ground in a mortar with liquid nitrogen, and immediately after thorough grinding, 0.15 g was weighed out and mixed with 2 mL of 0.1 mol/L phosphate buffer solution at pH 7.8. After centrifugation at 4 °C, the supernatant was placed in an ice bath for the subsequent measurement of various physiological parameters. The -NH3+ groups of proteins were stained with Coomassie Brilliant Blue G-250, resulting in a purple color, and the absorbance was measured at 595 nm. Soluble sugars, under the action of concentrated sulfuric acid, reacted with anthrone to form blue–green sugar aldehyde derivatives, and their absorbance was measured at 630 nm. Proline reacted with acidic ninhydrin to produce a red product, and its absorbance was measured at 520 nm.
4.3.6. Determination of the Activity of the Antioxidant Enzyme System
The plant CAT, POD, SOD, and APX activity assay kits (Nanjing Jiancheng, Nanjing, China) were used and the method was carried out according to the instructions. Samples were finely ground in a mortar with liquid nitrogen, and immediately after adequate grinding, 0.15 g was weighed out and combined with 2 mL of 0.1 mol/L phosphate buffer solution at pH 7.8. Following centrifugation at 4 °C, the supernatant was placed in an ice bath for the measurement of various physiological parameters. The reaction of CAT decomposing H2O2 was rapidly halted by the addition of ammonium molybdate, and the residual H2O2 reacted with the molybdate to form a pale-yellow complex, with absorbance measured at 405 nm. The activity of POD was determined using the guaiacol method, which is based on the principle of POD catalyzing the reaction of H2O2, with absorbance measured at 420 nm. SOD activity was assayed by the colorimetric method, where the superoxide anion O2- is oxidized by the dye to form nitrite, resulting in a purple–red complex, and absorbance was measured at 550 nm. The activity of APX was measured by its catalysis of the reaction between ascorbic acid and H2O2, converting ascorbic acid to monodehydroascorbic acid, with absorbance measured at 290 nm.
4.4. Processing of Data
The test data were collated and calculated by WPS 2021, and one-way ANOVA, LSD, and Duncan multiple analysis comparisons and PCA were performed using SPSS 22 statistical software, with graphical and correlational analytical analyses completed with the aid of WPS 2021 and Origin 2021.