Research Article

Horticultural Science and Technology. 31 October 2025. 604-622
https://doi.org/10.7235/HORT.20250055

ABSTRACT


MAIN

  • Introduction

  • Materials and Methods

  •   Plant materials and cultivation settings

  •   Chlorophyll fluorescence imaging

  •   Growth characterization

  •   Proline determination

  •   Chlorophyll estimation

  •   Sugar profiling and sweetness estimation

  •   Data analysis

  • Results

  •   Effects of high and low temperatures on growth parameters and the phenotype of lettuce

  •   Identification of early responses to temperature stress using chlorophyll fluorescence kinetics

  •   Effects of temperature stress on the CF parameters

  •   Effects of temperature stress on energy partitioning

  •   Changes in Chl, proline, and sugar contents under high- and low-temperature stress conditions

  •   Correlation analysis

  • Discussion

  • Conclusions

Introduction

Lettuce is a representative leafy vegetable commonly grown in open fields and controlled environments, such as plant factories. It is primarily distributed and consumed fresh, making it easily accessible to people of all ages (Khan et al. 2008; Cheowtirakul and Linh 2010). The optimal growth temperature for lettuce generally ranges from 15 to 25°C, and temperatures outside this range are known to have direct and indirect negative effects on the photosynthetic process (Anfoka et al. 2016; Banks 2018). Maintaining an appropriate temperature is crucial for cultivating high-quality crops because temperature is one of the most significant factors affecting the marketability of lettuce (Chen et al. 2021; Yan et al. 2021).

Lettuce tends to bolt when exposed to temperatures above 30°C for extended periods, which results in reductions in the leaf number, leaf length, leaf color, chlorophyll content, photosynthesis, and soluble sugar content (Hawrylak-Nowak et al. 2018; Liu et al. 2021). These temperature-induced changes in photosynthetic parameters are particularly evident in lettuces grown in open fields and greenhouses, where environmental conditions fluctuate naturally, unlike in closed plant factories with precise climate control systems that can maintain optimal growing conditions. High temperatures accelerate lettuce bolting, causing the leaves to become bitter. This is associated with an increase in the respiration rate and the accumulation of cellular oxidants, leading to the production of proline and soluble sugars as an adaptive response to heat stress (Choudhury et al. 2017; Argosubekti 2020; Giordano et al. 2021). Conversely, when exposed to temperatures below 15°C, lettuce exhibits reduced photosynthesis, respiration rates, and water absorption levels, as well as a decrease in cell turgor within mesophyll cells, reduced synthesis of secondary metabolites, chlorosis, and yellowing of the leaf margins (Streb et al. 2008; Mattila et al. 2020). Cold stress plays a critical role in the osmotic regulation mechanism, increasing plant resistance by generating proline to maintain the cellular water balance and alleviating osmotic pressure under abiotic stress conditions (Fahad et al. 2017; Guan et al. 2024; Yaseen et al. 2025). Additionally, the accumulation of soluble sugars is an essential regulator that is positively correlated with plant cold tolerance, enhanced water retention capacity, and improved cold resistance (Wei et al. 2023; Li et al. 2024).

Various nondestructive assessment tools have been developed to quantify and monitor temperature stress levels, all of which can be applied as part of a cultivation management strategy (Baker and Rosenqvist 2004; Tsai et al. 2019). Nondestructive assessment tools offer significant advantages over traditional destructive methods, including real-time monitoring capabilities, preservation of plant integrity throughout the growth cycle, reductions in sampling variability, the ability to track the same plants over time, and minimized labor requirements. These benefits make nondestructive techniques particularly valuable for both research applications and in commercial cultivation settings. Temperature stress is known to have direct and indirect effects on photosynthetic processes, leading to increased interest in chlorophyll fluorescence measurement techniques that can effectively assess photosynthetic activity (Pastenes and Horton 1996; Qiu et al. 2003; Song et al. 2014; Yan et al. 2021). Chlorophyll fluorescence measurement techniques allow for sensitive observations of changes in the photosynthetic process and are used to diagnose abiotic and biotic stresses across different plant species and growth stages (Na et al. 2014; Kalaji et al. 2016; Guidi et al. 2019). Exposure to high temperatures (35–42°C) during crop cultivation increases photorespiration and destabilization through Photosystem II (PSII), and damage to the electron transport chain can impair the photosynthetic machinery (Sharma et al. 2015; Hou et al. 2016; Chen et al. 2018; Yan et al. 2021). Chlorophyll fluorescence, which can effectively monitor PSII, is a useful indicator of heat stress along with key parameters such as Fv/Fm, Y(PSII), and NPQ (Yamane et al. 1997; Hou et al. 2016; Bhandari et al. 2018). Additionally, heat damage in cold-tolerant and temperate crops such as paprika, Chinese cabbage, and chrysanthemum under high-temperature stress has been analyzed (Oh and Koh 2014; Janka et al. 2015; Bhandari et al. 2018).

Cold stress is closely related to the temperature of the thylakoid membrane, where photosynthesis occurs, leading to the emission of chlorophyll fluorescence, a sensitive signal generated during photosynthesis (Hou et al. 2018; van Buer et al. 2019). As the leaf temperature decreases rapidly, many plant species exhibit a strong correlation between Fv/Fm, an indicator of the maximum quantum efficiency of photochemistry, and freezing or supercooling effects (Oliveira and Peñuelas 2005; Xu et al. 2022). Numerous studies of wheat, Arabidopsis, and tomato have shown that photochemical and non-photochemical types of fluorescence quenching are closely related to cold stress (Demmig-Adams et al. 2014; Ruban 2016; Lu et al. 2022; Mishra et al. 2023; Jan et al. 2024). Research on various high- and low-temperature forms of stress has discussed their negative effects on PSII efficiency and light energy utilization outside the optimal temperature range (Oh and Koh 2014; Weng et al. 2021; Mesa et al. 2024). High- and low-temperature stress effects vary depending on the developmental stage, species, and plant cultivar. Previous studies of lettuce used chlorophyll fluorescence to investigate the effects of differing amounts of light intensity, salinity, and drought (Woo et al. 2008; Fu et al. 2012; Yao et al. 2018; Shin et al. 2020a, 2020b; Chen et al. 2021). Many of these studies focused on the mid-stage cultivation period, when lettuce is exposed to high or low temperatures, primarily emphasizing the transient effects of temperature fluctuations (Koseki and Isobe 2005; Becker 2014; Janka et al. 2015; Carotti et al. 2020; Yan et al. 2021). As is well known, plants exhibit dynamic morphological and physiological changes in response to both transient temperature shocks and continuous temperature fluctuations (May et al. 2013). Therefore, the main objective of the present study was to monitor the dynamic changes in lettuce under varying temperature conditions by means of the nondestructive tracking of chlorophyll fluorescence imaging, the chlorophyll content, and proline and sugar levels. This approach will be valuable for those seeking a better understanding of the effects of extremely high- and low-temperature stress outside the optimal temperature range for lettuce growth.

Materials and Methods

Plant materials and cultivation settings

The lettuce cultivar Cheong Chi Ma (Asia Seed Co., Seoul, Korea), known for its widespread consumption in Korea, was used. Seeds were germinated in 50-hole plug trays (Bumnong Co., Korea) filled with a commercial potting medium (Nongwoobio Co., Korea). Sub-irrigation was applied daily for 20 minutes over twelve days. At ten days after sprouting, seedlings were maintained for three days in a growth chamber set at 24°C/20°C (day/night), with a 14/10 h photoperiod, 60 ± 3% relative humidity, and an LED light intensity near 220 µmol·m-2·s-1. After this acclimatization period, the plants were subjected to the following ten-day temperature treatments: low (8/4°C), control (24/20°C), and high (40/36°C) in a fully enclosed environment. The temperature treatments were designed to induce significant low- and high-temperature stress while maintaining plant viability. The low temperature of 8°C was selected because it is below the optimal growth range for lettuce and is known to impair photosynthetic efficiency and water uptake without causing immediate tissue damage. Conversely, a high temperature of 40°C was chosen to simulate extreme heat conditions often experienced in greenhouse environments, where photorespiration is accelerated, Photosystem II (PSII) destabilization occurs, and oxidative stress responses are promoted. These temperature settings enabled a systematic evaluation of physiological responses in lettuce under cold and heat stress.

Chlorophyll fluorescence imaging

Photosynthetic efficiency and related chlorophyll fluorescence parameters were assessed using a FluorCam 7 instrument (Photon Systems Instruments, Drásov, Czech Republic). Prior to the measurements, leaves were dark-adapted for 20 minutes. Evaluations were conducted on days 0, 2, 4, 6, and 8 following temperature exposure. For each treatment group, all ten randomly selected seedlings (from a pool of 100 uniform individuals) were measured per time point. During imaging, the distance between the camera and the plants was maintained at approximately 17–20 cm. Fluorescence imaging was conducted on the entire set of leaves of each seedling, as opposed to selecting a specific leaf position. The parameters F0, Fm, Fv/Fm, Y(PSII), NPQ, qP, qL, qN, Fv'/Fm', Y(NO), Y(NPQ), and Rfd were recorded and analyzed using the system’s default software protocols.

Growth characterization

Growth traits were examined in ten selected seedlings per treatment, at five time points spaced two days apart. Measurements were taken of the leaf size (length, width), number of leaves, and biomass. Shoot and root fresh weights were recorded using an electronic balance, and dry weights were obtained post-drying at 70°C for 72 hours. Leaf tissues used for chlorophyll fluorescence were retained, freeze-dried, ground to a powder, and stored at ‒80°C for biochemical assays.

Proline determination

To quantify proline, 50 mg of lyophilized tissue powder was extracted using 3% sulfosalicylic acid. The homogenate was shaken, centrifuged, filtered, and subjected to a colorimetric analysis following a modified protocol based on Bates et al. (1973). Acid ninhydrin and acetic acid were added to the extract, followed by heating, cooling, and toluene separation. Absorbance at 520 nm was recorded using a multi-well plate reader. Proline levels were calculated against a standard curve generated with L-proline solutions.

Chlorophyll estimation

Chlorophyll a and b were extracted with methanol from 20 mg of freeze-dried plant material, following the procedure of Warren (2008). After shaking and centrifugation, absorbance readings at 652 and 665 nm were obtained, and concentrations were calculated by means of optical correction formulas.

Sugar profiling and sweetness estimation

Soluble sugars were extracted by incubating 50 mg of dried sample in distilled water at 80°C, followed by centrifugation and filtration. The supernatant was analyzed using a 1260 Infinity HPLC system (Agilent Technologies, Santa Clara, CA, USA) equipped with a carbohydrate-specific column and a refractive index detector. Separation conditions included a 75:25 acetonitrile-water mobile phase. Glucose, fructose, and sucrose (Sigma-Aldrich, St. Louis, MO, USA) were identified based on retention time matching with standards, and concentrations were used to compute the total sweetness index (TSI) according to the method of Magwaza and Opara (2015), incorporating individual sugar sweetness coefficients.

Data analysis

All results were expressed as the means ± standard errors (SE). Growth traits were measured with five biological replicates per treatment, and chlorophyll fluorescence parameters were assessed using ten biological replicates. Biochemical analyses were performed using samples from five individual plants, with each measurement conducted in three technical replicates. One-way and two-way ANOVA, along with a correlation analysis, were carried out using R software (version 4.0.2), with significance determined at p < 0.05.

Results

Effects of high and low temperatures on growth parameters and the phenotype of lettuce

Morphological changes in lettuce seedlings subjected to high- and low-temperature stress are shown in Fig. 1. Under low-temperature stress, lettuce seedlings exhibited abnormal growth compared to the control and high-temperature stress conditions. Low-temperature stress had a detrimental effect on the growth parameters of lettuce seedlings compared to the control and high-temperature stress conditions. Most growth parameters, including the shoot fresh weight, shoot dry weight, number of true leaves, leaf length, and leaf width, were significantly lower under both high- and low-temperature stress treatments than in the control on day 8 (Table 1). Among the three temperature conditions, low-temperature stress led to greater differences between the maximum and minimum values of the shoot fresh weight (5.4-fold), shoot dry weight (3-fold), leaf length, and leaf width. Although high-temperature stress showed significant differences from the control, growth development under high-temperature stress was better than that under low-temperature stress.

https://cdn.apub.kr/journalsite/sites/kshs/2025-043-05/N020250055/images/HST_20250055_F1.jpg
Fig. 1.

Changes in the visual appearance of lettuce seedlings grown under control (24/20°C), high- (40/36°C), and low- (8/4°C) temperature conditions during the progressive treatment times

Table 1.

Effects of temperature levels (control (24/20°C), high (40/36°C), and low (8/4°C)) on the growth parameters of the lettuce seedlings after eight days of treatment

Days after treatment (DAT) Temperature level
(TL)
Shoot fresh weight
(g)
Shoot dry weight
(g)
Root fresh weight
(g)
Root dry weight
(mg)
Number of leaves
(ea)
Leaf length
(cm)
Leaf width
(cm)
Ratio of L/W
0 Control 0.14 ± 0.02z 0.01 ± 0.00 0.06 ± 0.01 0.03 ± 0.00 1.00 ± 0.00 3.67 ± 0.40 1.90 ± 0.17 1.93 ± 0.09
2

Control 0.95 ± 0.09 ay 0.70 ± 0.03 b 0.80 ± 0.03 a 0.05 ± 0.03 a 2.00 ± 0.00 a 4.73 ± 0.35 a 2.53 ± 0.15 a 1.88 ± 0.22 a
High 0.91 ± 0.06 a 0.73 ± 0.02 b 0.81 ± 0.01 a 0.05 ± 0.00 a 1.67 ± 0.58 a 3.90 ± 0.44 a 2.40 ± 0.35 a 1.66 ± 0.39 a
Low 0.79 ± 0.02 b 0.69 ± 0.01 b 0.79 ± 0.06 b 0.08 ± 0.03 b 1.00 ± 0.00 b 3.53 ± 0.55 b 1.77 ± 0.06 b 2.00 ± 0.31 b
4

Control 1.10 ± 0.10 a 0.77 ± 0.01 b 0.89 ± 0.03 a 0.77 ± 0.02 b 3.00 ± 0.00 a 4.97 ± 0.76 a 2.50 ± 0.30 a 1.99 ± 0.24 a
High 0.97 ± 0.07 ab 0.75 ± 0.04 b 0.82 ± 0.09 ab 0.71 ± 0.06 b 3.00 ± 0.00 a 4.30 ± 0.36 a 2.20 ± 0.17 a 1.96 ± 0.20 a
Low 0.91 ± 0.05 b 0.76 ± 0.01 b 0.84 ± 0.01 b 0.87 ± 0.18 b 1.33 ± 0.58 b 3.47 ± 1.03 b 1.90 ± 0.36 b 1.90 ± 0.19 b
6

Control 1.63 ± 0.19 a 1.26 ± 0.06 a 1/26 ± 0.06 a 1.07 ± 0.01 a 4.33 ± 0.58 a 5.07 ± 0.49 a 2.77 ± 0.32 a 1.83 ± 0.04 a
High 1.45 ± 0.07 ab 1.23 ± 0.03 a 1.23 ± 0.03 ab 1.09 ± 0.01 a 3.67 ± 0.58 ab 4.40 ± 0.20 ab 1.97 ± 0.59 ab 2.38 ± 0.74 ab
Low 1.24 ± 0.01 c 1.16 ± 0.00 b 1.16 ± 0.00 b 1.06 ± 0.00 a 1.67 ± 0.58 c 3.87 ± 0.21 b 2.07 ± 0.06 b 1.87 ± 0.15 b
8

Control 2.10 ± 0.11 a 1.13 ± 0.00 a 1/09 ± 0.07 a 0.78 ± 0.02 a 5.67 ± 0.58 a 5.93 ± 0.55 a 2.97 ± 0.31 a 2.00 ± 0.03 a
High 1.76 ± 0.11 b 1.13 ± 0.02 a 1.00 ± 0.06 b 0.78 ± 0.02 a 5.67 ± 0.58 a 4.77 ± 0.57 b 2.37 ± 0.15 ab 2.01 ± 0.13 a
Low 1.25 ± 0.05 c 1.06 ± 0.01 a 0.88 ± 0.02 c 0.77 ± 0.01 a 2.00 ± 0.00 b 3.97 ± 0.25 b 2.00 ± 0.10 b 1.99 ± 0.13 a
DAT ** NS ** NS ** NS NS NS
TL ** ** ** ** ** ** ** NS
DAT × TL NSx NS NS NS NS NS NS NS

zData are presented as the mean values from five replicates.

yDifferent letters within the same column indicate significant differences (Duncan’s test, p < 0.05).

xNS, non-significant; **, significance at p < 0.01.

Identification of early responses to temperature stress using chlorophyll fluorescence kinetics

To assess the photosynthetic performance of the plants under the control, high, and low temperature stress conditions, chlorophyll fluorescence quenching curves were measured every two days from day 0 to day 8 of temperature stress using the chlorophyll fluorescence quenching protocol Quenching Act 2 (Shin et al. 2020b). Typical chlorophyll fluorescence curves of lettuce seedlings subjected to temperature stress, measured over five sessions, are shown in Fig. 2. Day 2 was the earliest point at which pattern differences in the chlorophyll fluorescence curves between the temperature stress treatments and the control could be visually observed, with these differences becoming more pronounced from day 4 onwards compared to day 0 (Fig. 2). In seedlings subjected to low-temperature stress, a decline in most parameters began on day 2, and they continued to decrease as the treatment duration increased, especially in comparison with the control (Fig. 2B). In seedlings subjected to high-temperature stress, the parameters measured with the actinic light turned on were higher, whereas those in the dark tended to decrease relative to the control (Fig. 2C). Additionally, on day 8, plants exposed to high-temperature stress exhibited high fluorescence values relative to those of the control, whereas those under low-temperature stress showed a significant decrease (Fig. 2D). These findings suggest that both high- and low-temperature stress induces anomalies in the mechanisms involved in the photosynthetic processes of these plants.

https://cdn.apub.kr/journalsite/sites/kshs/2025-043-05/N020250055/images/HST_20250055_F2.jpg
Fig. 2.

Representative kinetic chlorophyll fluorescence intensity of lettuce (Lactuca sativa L.) in the control (24/20°C), high (40/36°C), and low (8/4°C) treatments at day 2 (A), day 4 (B), day 6 (C), and day 8 (D) after the introduction of temperature stress. Arrows indicate the timings of the saturating flashes (red) and far-red flashes (brown), and values represent the average of ten replicates per genotype and treatment. Readers can refer to “Abbreviations” for all fluorescence parameters.

Effects of temperature stress on the CF parameters

To examine the efficiency of photochemical energy utilization, the parameters F0, Fm, Fv/Fm, Fv'/Fm', Y(PSII), qP, and qL were analyzed, along with NPQ and qN, which represent non-photochemical quenching, and Rfd, which indicates the chlorophyll reduction ratio (Fig. 3). Overall, the low-temperature treatment showed a tendency to decrease compared to the control and high-temperature treatments throughout the experimental period, with significant differences observed (Table 2). Under low-temperature conditions, F0 consistently increased, whereas Fm decreased. During the experiment, the average Fv/Fm value for the control group remained stable at 0.8322 ± 0.002. This result was similar to that observed under high-temperature conditions, whereas a significant decrease was observed in plants exposed to low temperatures as early as day 2 (p < 0.001). The parameter Fv'/Fm', indicative of photochemical energy efficiency, decreased under low-temperature conditions. Meanwhile, Y(PSII) and qP showed relatively high values in both the high- and low-temperature treatments compared to the control throughout the experimental period, with significant trends observed. Rfd displayed differences beginning on day 2, but after day 4, no significant changes were observed compared to the control and high- temperature treatments. In addition, NPQ and qN exhibited trends similar to those of Rfd, although it was challenging to discern significant differences despite the similarity in the value ranges of these parameters.

https://cdn.apub.kr/journalsite/sites/kshs/2025-043-05/N020250055/images/HST_20250055_F3.jpg
Fig. 3.

Changes in the CF parameters (F0, Fm, Fv/Fm, Fv'/Fm'. Y(PSII), qP Rfd, NPQ, qN, and qL) of lettuce seedlings grown under control (24/20°C), high (40/36°C), and low (8/4°C) temperature conditions for different time periods. Each plot point represents the mean ± SE of ten biological replicates.

Table 2.

Summary of the analysis of the chlorophyll fluorescence (CF) parameter of lettuce seedlings at the temperature and multiple treatment times

Parameters Temperature levels (TL)z Treatment Time (TT)y TL × TT
F-Value Significance F-Value Significance F-Value Significance
F0 207.97 ***x 43.19 *** 5.13 ***
Fm 281.62 *** 14.77 *** 7.56 ***
Fv/Fm 1271.24 *** 17.03 *** 28.96 ***
Fv'/Fm' 717.12 *** 17.30 *** 9.63 ***
Y (PSII) 45.82 *** 62.26 *** 10.62 ***
NPQ 30.03 *** 30.06 *** 6.83 ***
qN 94.94 *** 22.43 *** 5.90 ***
qP 96.22 *** 58.18 *** 11.91 ***
Rfd 24.97 *** 59.56 *** 9.32 ***
Y (NO) 214.93 *** 47.81 *** 10.84 ***

zTemperature levels: control (24/20°C), high (40/36°C), and low (8/4°C).

yTreatment times: 0, 2, 4, 6, and 8 days.

x*, **, and *** indicate significance at p < 0.05, p < 0.01, and p < 0.001, respectively. NS: non-significant.

Effects of temperature stress on energy partitioning

The utilization of all light energy absorbed by the plants at different temperature levels was examined using energy-partitioning parameters (Fig. 4). Starting from an initial Y(PSII) value of 0.27 ± 0.01 on day 0, all treatments showed a significant reduction of approximately 50%. On day 8, Y(NO) increased significantly, with the control group showing an increase to 28.92%, the high-temperature treatment to 19.67%, and the low-temperature treatment showing the highest increase at 45.93%. Y(NPQ) also increased on day 8, with the control group at 11.52% and the high-temperature treatment at 8.69%, whereas the low-temperature treatment showed a relative decrease of ‒10.70%. Throughout the experiment, Y(NPQ) values were highest in the control group on days 2, 4, 6, and 8, whereas Y(PSII) values were consistently lower in the control group across all measurement days.

https://cdn.apub.kr/journalsite/sites/kshs/2025-043-05/N020250055/images/HST_20250055_F4.jpg
Fig. 4.

Changes in the CF parameters (Y(II), Y(NO), and Y(NPQ)) of lettuce seedlings grown under control (C, 24/20°C), high (H, 40/36°C), and low (L, 8/4°C) temperature conditions for different time periods. Each plot point represents the mean ± SD of ten biological replicates.

Changes in Chl, proline, and sugar contents under high- and low-temperature stress conditions

During the high- and low-temperature stress treatments, the Chl a, Chl b, and total chlorophyll contents significantly decreased (Fig. 5A, 5B, 5C, and Table 3). In the low-temperature stress group, a continuous decline in Chl a (3.91 ± 0.01), Chl b (1.08 ± 0.06), and the total chlorophyll content (4.99 ± 0.05) was observed starting on day 2 of the treatment. In the high-temperature treatment, a significant difference in the Chl a content began to emerge on day 4, whereas the Chl b content decreased by day 6. The control group showed a continuous increase in the chlorophyll content after day 4, ultimately resulting in a 22.00 ± 0.1 % increase compared to day 0. Under low-temperature conditions, the proline content began to increase on day 2 and showed a sharp increase of 5.67-fold by day 4 (Fig. 5D). In the high-temperature stress group, the proline content showed some significant differences compared to the control on day 2 but then decreased by day 4, resulting in no significant difference compared to the control. On the final day of the temperature treatment, the fructose content under high-temperature conditions was similar to that under normal conditions but was 1.3 times higher under the low-temperature conditions (Fig. 6A). The glucose content was 1.15 times higher under high-temperature conditions and 1.16 times higher under low-temperature conditions than that in the control (Fig. 6B). The sucrose content was 2.17 times higher under high-temperature conditions and 2.62 times higher under low-temperature conditions (Fig. 6C). The total sugar content was elevated under both the high- (1.36 times) and low- (1.54 times) temperature conditions (Fig. 6D).

https://cdn.apub.kr/journalsite/sites/kshs/2025-043-05/N020250055/images/HST_20250055_F5.jpg
Fig. 5.

Changes of chlorophyll a (A), chlorophyll b (B), and total chlorophyll (C), and proline (D) contents in lettuce seedlings at 0, 2, 4, 6, and 8 days after control (24/20°C), high (40/36°C), and low (8/4°C) treatment times. Multiple line plots represent the mean ± SE of three replicates. Chl: Chlorophyll, Total chl: Total chlorophyll.

Table 3.

Summary of the analysis of the chlorophyll fluorescence (CF) parameters of lettuce seedlings at the temperature and multiple treatment times

Parameters Temperature levels (TL)z Treatment time (TT)y TL × TT
F-Value Significance F-Value Significance F-Value Significance
Chl a 10639.8 ***x 468.2 *** 504.2 ***
Chl b 486.7 *** 12.4 *** 21.3 ***
Total Chl 4797.5 *** 176.6 *** 218.0 ***
Proline 1266.7 *** 84.0 *** 92.8 ***

zTemperature levels: control (24/20°C), high (40/36°C), and low (8/4°C).

yTreatment time: 0, 2, 4, 6, and 8 days.

x*, **, and *** indicate significance at p < 0.05, p < 0.01, and p < 0.001, respectively. NS: non-significant.

https://cdn.apub.kr/journalsite/sites/kshs/2025-043-05/N020250055/images/HST_20250055_F6.jpg
Fig. 6.

Changes in fructose (A), glucose (B), sucrose (C), and total sugar contents (TSC) (D) in lettuce seedlings grown under control (24/20°C), high (40/36°C), and low (8/4°C) temperature conditions. Each bar represents the mean ± SE of three replicates.

Correlation analysis

A correlation analysis was conducted to determine the relationships among the chlorophyll fluorescence parameters, growth parameters, chlorophyll content, and proline content (Fig. 7). Pearson’s correlation coefficients (r) were calculated and correlations with p < 0.05 were considered statistically significant. The analysis revealed that F0 exhibited a negative correlation with Fv and Fv/Fm (r = ‒0.78, p < 0.01 and r = ‒0.82, p < 0.01, respectively), but showed no significant relationship with the other chlorophyll fluorescence parameters examined in this study, in this case qN, qP, Rfd, and Y(NO) (p > 0.05). All of the other chlorophyll fluorescence parameters showed significant positive or negative correlations with correlation coefficients ranging from r = 0.65 to r = 0.89 (p < 0.01). The chlorophyll content was found to have a strong positive correlation with Fv/Fm and Y(PSII) (r = 0.76, p < 0.01 and r = 0.72, p < 0.01, respectively), consistent with results observed in Arabidopsis and pepper. However, the magnitudes of these correlations differed, likely due to the varying levels of heat and cold stress tolerance across the different lettuce varieties and due to genetic resources. In contrast, qP and Rfd were not significantly correlated with NPQ or qN (p > 0.05). These findings are consistent with those of related studies. The proline content exhibited a strong positive correlation with F0 (r = 0.68, p < 0.01) and a negative correlation with Fm, Fv/Fm, and Fv/Fm (r = ‒0.71, p < 0.01; r = ‒0.75, p < 0.01; r = ‒0.77, p < 0.01, respectively). Additionally, the proline content was strongly and negatively correlated with Chl a, Chl b, and the total chlorophyll content (r = ‒0.69, ‒0.65, and ‒0.72 respectively, all p < 0.01). These results are similar to those observed in studies of salt and drought stress treatments in lettuce.

https://cdn.apub.kr/journalsite/sites/kshs/2025-043-05/N020250055/images/HST_20250055_F7.jpg
Fig. 7.

Correlation analysis for CF parameters, chlorophyll, and proline contents in lettuce seedlings regardless of the treatment and temperature level at eight days. Blue circles represent positive correlations, whereas red circles represent negative correlations. Color intensity is proportional to the correlation coefficients, as shown in the legend to the right. Readers can refer to Table 1 for detailed information pertaining to the CF parameters.

Discussion

Plants undergo various external and internal changes in response to temperature stress, ultimately triggering appropriate defense mechanisms. According to certain morphological changes (Fig. 1), slow leaf development and leaf discoloration can be considered early physiological responses to temperature stress. Similar findings have been reported in tomatoes and Arabidopsis, where growth reductions due to cold stress were reported (Koseki and Isobe 2005; Sakamoto and Suzuki 2015; Heidari et al. 2021). In lettuce, growth parameters under high-temperature stress also differed from those in the control group (Jenni et al. 2013). The reduction in most growth parameters under cold stress can be attributed to decreased photosynthetic activity, insufficient transpiration, and an imbalance in nutrient uptake (Pérez-Torres et al. 2006; Mattila et al. 2020). Specifically, cold stress induces photoinhibition under light conditions, which adversely affects photosynthetic levels (Hetherington et al. 1989; Huner et al. 1993). Under high-temperature stress, although growth and development occurred, visual changes in the leaf color, reductions in the leaf length and width, and leaf distortion were observed (Table 1). The decrease in growth was likely due to a reduction in photosynthetic activity and failure to maintain normal transpiration during this period. These results are consistent with those reported by Hawrylak-Nowak et al. (2018) and Yan et al. (2021). However, as shown in Table 1, there were no significant interactions between temperature levels and treatment duration (DAT × TL) for most growth parameters, indicating that temperature stress responses manifested relatively early and remained relatively stable over the 8-day treatment period. The lack of cumulative effects over time suggests that either the imposed temperature stress was quickly absorbed by the plants’ physiological adjustment mechanisms or that the duration of stress exposure was insufficient to cause progressive physiological deterioration. These findings imply that the primary effects of temperature stress on lettuce seedlings were immediate rather than time-dependent.

Temperature stress is one of the most significant factors limiting photosynthesis, as it restricts stomatal function and other factors involved in photosynthesis. Chlorophyll fluorescence imaging is a valuable tool for monitoring photochemical and non-photochemical energy utilization. The chlorophyll fluorescence curves demonstrated distinct patterns under both high- and low-temperature conditions compared to the control, indicating a close association between temperature and energy utilization processes during photosynthesis. Under cold conditions, a reduction in energy use efficiency was observed in lettuce (Fig. 2), consistent with the findings of Hou et al. (2016), who reported similar variations in chlorophyll fluorescence under both high- and low-temperature stress. In addition to the chlorophyll fluorescence parameters, the curves obtained using the Quenching Act 2 protocol provided more intuitive and rapid identification of chlorophyll fluorescence levels. This suggests that the Quenching Act 2 protocol could serve as an effective tool for the diagnosis of abiotic and biotic forms of stress. The temporal dynamics of these chlorophyll fluorescence patterns revealed crucial information about the progression of stress responses over the 8-day treatment period. During the initial exposure (0–2 days), plants stressed under both high and low temperatures showed moderate deviations in fluorescence curves compared to control plants, but maintained similar curve shapes. However, as the exposure time increased, these patterns diverged more dramatically, with cold-stressed plants exhibiting progressively flattened curve profiles by days 4–6, indicating an increasing inability to utilize absorbed light energy effectively. This time-dependent deterioration of fluorescence characteristics suggests cumulative damage to the photosynthetic apparatus rather than a simple temporary inhibition. The underlying mechanism likely involves time-dependent disruption of thylakoid membrane organization under prolonged temperature stress, as reported by Yamamoto (2016) in spinach chloroplasts. Interestingly, the Quenching Act 2 protocol revealed different levels of temporal sensitivity between the fast and slow relaxation components of non-photochemical quenching. The fast-relaxing component, associated with the xanthophyll cycle, showed significant alterations within two days of temperature stress, whereas the slow-relaxing component, linked to photoinhibition and D1 protein damage, exhibited a gradual increase that became pronounced only after four to six days of continuous stress. This differential time course suggests a sequential activation of photoprotective mechanisms, with rapid adjustments to energy dissipation systems preceding longer-term protective responses. Similar time-dependent progression of photosynthetic adjustments under temperature stress has been observed in various crop species, including rice (Li et al. 2018) and cucumber (Wang et al. 2019), suggesting a conserved temporal response pattern across different plant species. The gradual changes in chlorophyll fluorescence parameters over the experimental period also provide insight into the plants’ acclimation capacity. The initial decline in energy use efficiency under cold stress was partially stabilized between days 4–6, suggesting the activation of compensatory mechanisms, before deteriorating further by day 8. This non-linear temporal pattern indicates a complex stress response with distinct phases of shock, attempted acclimation, and eventual failure of protective systems under continued stress exposure. The practical implication of these findings is that the timing of stress detection through chlorophyll fluorescence analysis is critical when devising effective intervention strategies in agricultural settings.

The Fv'/Fm' ratio, obtained under illuminated conditions, reflects the maximum potential efficiency of PSII under light conditions and is commonly used to assess the impact of light-induced stress (Baker 2008). A continuous decline in Fv'/Fm' under low-temperature conditions indicates inefficient energy utilization under these conditions (Aazami et al. 2021). The parameters Y(II), qL, and qP, which represent photochemical energy efficiency, showed lower utilization efficiency rates under low temperatures than under the control and high-temperature conditions (Bhandari et al. 2018; Aazami et al. 2021). In our study, this indicates a decline in the utilization of photosynthetic energy under low-temperature stress in the lettuce cultivars examined, consistent with findings by Hou et al. (2016), who reported similar responses in watermelon seedlings. Additionally, Lu et al. (2022) observed reduced photosynthetic efficiency in tomato seedlings under cold stress conditions. Although all treatments showed a declining trend from day 0 onwards, the control group exhibited a gradual increase over time. In particular, the reduction in Y(PSII), which is a key parameter related to photochemical efficiency measurements, under both low- and high-temperature conditions can be attributed to excessive photorespiration at high temperatures (Argosubekti 2020).

Non-photochemical quenching (NPQ) can be used to assess the photoprotective processes that plants use to adapt to stressful environments (Murchie and Lawson 2013). On day 2 of the treatment here, NPQ decreased but showed a gradual increase in the control group from day 4 onwards, continuing to decline, however, under both high- and low-temperature conditions. This indicates that lettuce grown under these types of temperature stress is unable to activate protective mechanisms due to the progression of senescence (Gorbe and Calatayud 2012). Furthermore, an increase in qN suggests heightened thermal dissipation, with a significant difference observed under the low-temperature conditions compared to the other treatments. This implies that photoprotective mechanisms are activated to safeguard Photosystem II from cold stress (Oliveira and Peñuelas 2005). Finally, Rfd, which reflects the activity of PSII and the electron transport process when the plant is exposed to light, continuously declines at both high and low temperatures, indicating reduced photosynthetic efficiency (Bron et al. 2004; Bhandari et al. 2018). A more rapid decline under high-temperature stress suggests that photorespiration caused by high temperatures leads to a swift reduction in fluorescence, signifying the inefficient use of light energy.

Chlorophyll a and b, the primary photosynthetic pigments in plant leaves, are known to increase or decrease upon exposure to abiotic and biotic stress factors (Barbagallo et al. 2003; Kalaji et al. 2016; Taïbi et al. 2016). The continuous decline observed under cold stress suggests that the negative impact of low temperatures in the presence of light leads to decreased photosynthetic activity, damage to chloroplast membranes and structures and the inhibition of chlorophyll biosynthesis (Li et al. 2010; van Buer et al. 2019). Similar findings have been reported in various plant genetic resources and growth stages under cold stress, where the chlorophyll content was reduced (Koç et al. 2010; Hussain et al. 2023). Conversely, although the high-temperature stress treatment visually exhibited lighter leaf coloration than the control plants, the actual analysis showed no significant difference in the chlorophyll content. This result is consistent with observations involving other plant species.

Proline, a multifunctional amino acid, is synthesized and accumulates in plants in response to various abiotic stresses, serving as a key osmoprotectant and stabilizer of cellular structures (Verslues and Sharma 2010). The extent of proline accumulation is known to vary depending on the type and severity of the stress, including salinity, drought, heat, and cold (Trovato et al. 2008; Toscano et al. 2019). In the present study, a progressive increase in the proline content was observed in lettuce seedlings subjected to low-temperature conditions, indicating an osmotic adjustment response to cold stress. In contrast, seedlings exposed to high-temperature stress exhibited minimal changes in proline levels. This phenomenon is attributable to the nature of heat stress, which predominantly induces oxidative stress through the overproduction of reactive oxygen species (ROS) rather than imposing significant osmotic stress (Amini et al. 2015). As a result, plants experiencing high temperatures may preferentially activate antioxidant defense mechanisms over osmolyte accumulation pathways. These findings are consistent with previous reports demonstrating limited proline accumulation under heat stress conditions in lettuce.

The temperature conditions in the lettuce seedlings significantly influenced fructose, glucose, sucrose, and total sugar content findings. Both high- and low-temperature conditions lead to a substantial increase in specific sugar contents, with particularly pronounced increases in all sugars under cold conditions (Fahad et al. 2017; Wang et al. 2018; Yu et al. 2022). These findings suggest that temperature changes play a critical role in plant carbohydrate metabolism and sugar accumulation.

This study analyzed the effects of temperature stress on the correlation among chlorophyll fluorescence (CF) parameters, photosynthetic efficiency indicators, chlorophyll content levels, and proline levels. Major CF parameters such as Fv/Fm showed strong positive correlations with other parameters, indicating a close relationship with the PSII efficiency. In contrast, the proline content was negatively correlated with CF parameters, suggesting a potential decrease in photosynthetic efficiency with increased stress. The chlorophyll content (Chl a, Chl b, and total chlorophyll) also showed strong positive correlations, highlighting its crucial role in photosynthetic capacity. These results enhance our understanding of the physiological responses and energy utilization efficiency of plants under temperature stress conditions.

Conclusions

This study presented changes in the chlorophyll fluorescence, growth, and secondary metabolite levels in lettuce under three temperature treatments, providing insights into the detection of temperature stress responses. The chlorophyll fluorescence curves exhibited the potential for detecting responses to high- and low-temperature stress in lettuce. Existing fluorescence parameters have identified highly sensitive chlorophyll fluorescence indicators at the canopy level that respond to temperature stress. Changes in energy-partitioning parameters revealed photoprotective mechanisms under cold conditions. Additionally, chlorophyll fluorescence parameters, the chlorophyll content, and proline and sugar levels were strongly correlated with the physiological characteristics. The findings of this study suggest that a correlation analysis of the chlorophyll fluorescence curves and a secondary metabolite analysis can provide comprehensive information pertaining to the effects of temperature stress on photosynthesis and secondary metabolism processes.

Acknowledgements

This work was supported by a grant from the National Research Foundation of Korea (NRF) funded by the Korean Government (MSIT) (RS-2022-NR072471). This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (RS-2019-NR040079).

Author Contributions

Yu Kyeong Shin (Y.K.S.) and Jun Gu Lee (J.G.L.) designed the study. Yu Kyeong Shin (Y.K.S.) performed the experiments and analyzed the data. Y. K. S. and J. G. L. drafted and revised the manuscript.

Conflicts of Interest

The authors declare no conflicts of interest.

References

1

Aazami MA, Asghari-Aruq M, Hassanpouraghdam MB, Ercisli S, Baron M, Sochor J (2021) Low temperature stress mediates the antioxidants pool and chlorophyll fluorescence in Vitis vinifera L. cultivars. Plants 10:1877. https://doi.org/10.3390/plants10101877

10.3390/plants1009187734579411PMC8470009
2

Amini S, Ghobadi C, Yamchi A (2015) Proline accumulation and osmotic stress: an overview of P5CS gene in plants. J Plant Mol Breed 3:44-55. https://doi.org/10.22058/jpmb.2015.17022

10.22058/jpmb.2015.17022
3

Anfoka G, Moshe A, Fridman L, Amrani L, Rotem O, Kolot M, Zeidan M, Czosnek H, Gorovits R (2016) Tomato yellow leaf curl virus infection mitigates the heat stress response of plants grown at high temperatures. Scientific Reports 6:1-13. https://doi.org/10.1038/srep19715

10.1038/srep1971526792235PMC4726131
4

Argosubekti N (2020) A review of heat stress signaling in plants. In: IOP Conference Series: Earth and Environmental Science, Vol 484. IOP Publishing, p 012041.

10.1088/1755-1315/484/1/012041
5

Baker NR (2008) Chlorophyll fluorescence: a probe of photosynthesis in vivo. Annu Rev Plant Biol 59:89-113. https://doi.org/10.1146/annurev.arplant.59.032607.092759

10.1146/annurev.arplant.59.032607.09275918444897
6

Baker NR, Rosenqvist E (2004) Applications of chlorophyll fluorescence can improve crop production strategies: an examination of future possibilities. J Exp Bot 55:1607-1621. https://doi.org/10.1093/jxb/erh196

10.1093/jxb/erh19615258166
7

Banks JM (2018) Chlorophyll fluorescence as a tool to identify drought stress in Acer genotypes. Environ Exp Bot 155:118-127. https://doi.org/10.1016/j.envexpbot.2018.06.022

10.1016/j.envexpbot.2018.06.022
8

Barbagallo RP, Oxborough K, Pallett KE, Baker NR (2003) Rapid, noninvasive screening for perturbations of metabolism and plant growth using chlorophyll fluorescence imaging. Plant Physiol 132:485-493. https://doi.org/10.1104/pp.102.018093

10.1104/pp.102.01809312805581PMC166991
9

Bates LS, Waldren RP, Teare ID (1973) Rapid determination of free proline for water-stress studies. Plant Soil 39:205-207. https://doi.org/10.1007/BF00018060

10.1007/BF00018060
10

Becker C (2014) Impact of radiation, temperature and growth stage on the concentration of flavonoid glycosides and caffeic acid derivatives in red leaf lettuce (Lactuca sativa L.). Dissertation, Technische Universität Berlin. https://doi.org/10.14279/depositonce-3934

10.14279/depositonce-3934
11

Bhandari SR, Kim YH, Lee JG (2018) Detection of temperature stress using chlorophyll fluorescence parameters and stress-related chlorophyll and proline content in paprika (Capsicum annuum L.) seedlings. Hortic Sci Technol 36:619-629. https://doi.org/10.12972/kjhst.20180062

10.12972/kjhst.20180062
12

Bron IU, Ribeiro RV, Azzolini M, Jacomino AP, Machado EC (2004) Chlorophyll fluorescence as a tool to evaluate the ripening of 'Golden' papaya fruit (Carica papaya L.). Postharvest Biol Technol 33:163-173. https://doi.org/10.1016/j.postharvbio.2004.02.004

10.1016/j.postharvbio.2004.02.004
13

Carotti L, Graamans L, Puksic F, Butturini M, Meinen E, Heuvelink E, Stanghellini C (2020) Plant factories are heating up: hunting for the best combination of light intensity, air temperature and root-zone temperature in lettuce (Lactuca sativa L.) production. Front Plant Sci 11:592171. https://doi.org/10.3389/fpls.2020.592171

10.3389/fpls.2020.59217133584743PMC7876451
14

Chen S, Qi Y, Li C, Domen K, Zhang F (2018) Surface strategies for particulate photocatalysts toward artificial photosynthesis. Joule 2:2260-2288. http://doi.org/10.1016/j.joule.2018.07.030

10.1016/j.joule.2018.07.030
15

Chen Z, Shah Jahan M, Mao P, Wang M, Liu X, Guo S (2021) Functional growth, photosynthesis and nutritional property analyses of lettuce (Lactuca sativa L.) grown under different temperature and light intensity. J Hortic Sci Biotechnol 96:53-61. https://doi.org/10.1080/14620316.2020.1807416

10.1080/14620316.2020.1807416
16

Cheowtirakul C, Linh ND (2010) The study of biosurfactant as a cleaning agent for insecticide residue in leafy vegetables. Assump Univ J Technol 14:75-87

17

Choudhury FK, Rivero RM, Blumwald E, Mittler R (2017) Reactive oxygen species, abiotic stress and stress combination. Plant J 90:856-867

10.1111/tpj.1329927801967
18

Demmig-Adams B, Koh SC, Cohu CM, Muller O, Stewart JJ, Adams WW III (2014) Non-photochemical fluorescence quenching in contrasting plant species and environments. In: Demmig-Adams B, Garab G, Adams W, Govindjee (eds) Non-photochemical quenching and energy dissipation in plants, algae and cyanobacteria. Springer, Dordrecht, pp 531-552. https://doi.org/10.1007/978-94-017-9032-1_24

10.1007/978-94-017-9032-1_24
19

Fahad S, Bajwa AA, Nazir U, Anjum SA, Farooq A, Zohaib A, Sadia S, Nasim W, Adkins S, et al. (2017) Crop Production under Drought and Heat Stress: Plant Responses and Management Options. Front Plant Sci 8:1147. https://doi.org/10.3389/fpls.2017.01147

10.3389/fpls.2017.0114728706531PMC5489704
20

Fu W, Li P, Wu Y (2012) Effects of different light intensities on chlorophyll fluorescence characteristics and yield in lettuce (Lactuca sativa L.). Sci Hortic 135:45-51. https://doi.org/10.1016/j.scienta.2011.12.004

10.1016/j.scienta.2011.12.004
21

Giordano M, Petropoulos SA, Rouphael Y (2021) Response and defence mechanisms of vegetable crops against drought, heat and salinity stress. Agriculture 11:463. https://doi.org/10.3390/agriculture11050463

10.3390/agriculture11050463
22

Gorbe E, Calatayud A (2012) Applications of chlorophyll fluorescence imaging technique in horticultural research: a review. Sci Hortic 138:24-35. https://doi.org/10.1016/j.scienta.2012.02.002

10.1016/j.scienta.2012.02.002
23

Guan H, Sun Y, Hou W, Ge Z, Zhao X, Wang D (2024) Effects of hydroxyl radical on listeria monocytogenes in fresh-cut iceberg lettuce (Lactuca sativa var. iceberg): Survival, membrane permeability, microstructure and virulence gene expression. LWT 213:117040. https://doi.org/10.1016/j.lwt.2024.117040

10.1016/j.lwt.2024.117040
24

Guidi L, Lo Piccolo E, Landi M (2019) Chlorophyll fluorescence, photoinhibition and abiotic stress: does it make any difference the fact to be a C3 or C4 species? Front Plant Sci 10:174. https://doi.org/10.3389/fpls.2019.00174

10.3389/fpls.2019.0017430838014PMC6382737
25

Hawrylak-Nowak B, Dresler S, Rubinowska K, Matraszek-Gawron R, Woch W, Hasanuzzaman M (2018) Selenium biofortification enhances the growth and alters the physiological response of lamb's lettuce grown under high temperature stress. Plant Physiol Biochem 127:446-456. https://doi.org/10.1016/j.plaphy.2018.04.018

10.1016/j.plaphy.2018.04.01829689508
26

Heidari P, Amerian MR, Barcaccia G (2021) Hormone Profiles and Antioxidant Activity of Cultivated and Wild Tomato (Solanum lycopersicum L.) Seedlings under Low-Temperature Stress. Agronomy 11:1146. https://doi.org/10.3390/agronomy11061146

10.3390/agronomy11061146
27

Hetherington SE, He J, Smillie RM (1989) Photoinhibition at low temperature in chilling-sensitive and-resistant plants. Plant Physiol 90:1609-1615. http://doi.org/10.1104/pp.90.4.1609

10.1104/pp.90.4.160916666971PMC1061931
28

Hou L, Zhang G, Zhao F, Zhu D, Fan X, Zhang Z, Liu X (2018) VvBAP1 is involved in cold tolerance in Vitis vinifera L. Front Plant Sci 9:726. https://doi.org/10.3389/fpls.2018.00726

10.3389/fpls.2018.0072629967626PMC6016009
29

Hou W, Sun AH, Chen HL, Yang FS, Pan JL, Guan MY (2016) Effects of chilling and high temperatures on photosynthesis and chlorophyll fluorescence in leaves of watermelon (Citrullus lanatus (Thunb.) Matsum. & Nakai) seedlings. Biol Plant 60:148-154. https://doi.org/10.1007/s10535-015-0575-1

10.1007/s10535-015-0575-1
30

Huner NPA, Öquist G, Hurry VM, Krol M, Falk S, Griffith M (1993) Photosynthesis, photoinhibition and low temperature acclimation in cold tolerant plants. Photosynth Res 37:19-39. https://doi.org/10.1007/BF02185436

10.1007/BF0218543624317651
31

Hussain MA, Li S, Gao H, Feng C, Sun P, Sui X, Jing Y, Xu K, Zhou Y, et al. (2023) Comparative analysis of physiological variations and genetic architecture for cold stress response in soybean (Glycine max (L.) Merr.) germplasm. Front Plant Sci 13:1095335. https://doi.org/10.3389/fpls.2022.1095335

10.3389/fpls.2022.109533536684715PMC9852849
32

Jan MF, Li M, Liaqat W, Altaf MT, Liu C, Ahmad H, Khan EH, Ali Z, Barutçular C, et al. (2024) Chlorophyll fluorescence: a smart tool for maize (Zea mays L.) improvement. Cereal Res Commun:1-32. http://doi.org/10.1007/s42976-024-00573-9

10.1007/s42976-024-00573-9
33

Janka E, Körner O, Rosenqvist E, Ottosen CO (2015) Using the quantum yields of photosystem II and the rate of net photosynthesis to monitor high irradiance and temperature stress in chrysanthemum (Dendranthema grandiflora Tzvelev). Plant Physiol Biochem 90:14-22. https://doi.org/10.1016/j.plaphy.2015.02.019

10.1016/j.plaphy.2015.02.01925749731
34

Jenni S, Truco MJ, Michelmore RW (2013) Quantitative trait loci associated with tipburn, heat stress-induced physiological disorders, and maturity traits in crisphead lettuce (Lactuca sativa L.). Theor Appl Genet 126:3065-3079. https://doi.org/10.1007/s00122-013-2193-7

10.1007/s00122-013-2193-724078012
35

Kalaji HM, Jajoo A, Oukarroum A, Brestic M, Zivcak M, Samborska IA, Cetner MD, Łukasik I, Goltsev V, et al. (2016) Chlorophyll a fluorescence as a tool to monitor physiological status of plants under abiotic stress conditions. Acta Physiol Plant 38:102. https://doi.org/10.1007/s11738-016-2113-y

10.1007/s11738-016-2113-y
36

Khan S, Aijun L, Zhang S, Hu Q, Zhu YG (2008) Accumulation of polycyclic aromatic hydrocarbons and heavy metals in lettuce (Lactuca sativa L.) grown in the soils contaminated with long-term wastewater irrigation. J Hazard Mater 152:506-515. https://doi.org/10.1016/j.jhazmat.2007.07.014

10.1016/j.jhazmat.2007.07.01417706349
37

Koç E, İşlek C, Üstün AS (2010) Effect of cold on protein, proline, phenolic compounds and chlorophyll content of two pepper (Capsicum annuum L.) varieties. Gazi Univ J Sci 23:1-6

38

Koseki S, Isobe S (2005) Prediction of pathogen growth on iceberg lettuce (Lactuca sativa L. var. capitata) under real temperature history during distribution from farm to table. Int J Food Microbiol 104:239-248. https://doi.org/10.1016/j.ijfoodmicro.2005.02.012

10.1016/j.ijfoodmicro.2005.02.01215979180
39

Li B, Gao K, Ren H, Tang W (2018) Molecular mechanisms governing plant responses to high temperatures. J Integr Plant Biol 60:757-779. http://doi.org/10.1111/jipb.12701

10.1111/jipb.1270130030890
40

Li G, Wan S, Zhou J, Yang Z, Qin P (2010) Leaf chlorophyll fluorescence, hyperspectral reflectance, pigments content, malondialdehyde and proline accumulation responses of castor bean (Ricinus communis L.) seedlings to salt stress levels. Ind Crops Prod 31:13-19. https://doi.org/10.1016/j.indcrop.2009.07.015

10.1016/j.indcrop.2009.07.015
41

Li M, Yue T, Han J, Wang J, Xiao H, Shang F (2024) Exogenous glucose irrigation alleviates cold stress by regulating soluble sugars, ABA and photosynthesis in melon (Cucumis melo L.) seedlings. Plant Physiol Biochem 217:109214. https://doi.org/10.1016/j.plaphy. 2024.109214

10.1016/j.plaphy.2024.10921439454537
42

Liu H, Shen J, Yuan C, Lu D, Acharya BR, Wang M, Chen D, Zhang W (2021) The Cyclophilin ROC3 Regulates ABA-Induced Stomatal Closure and the Drought Stress Response of Arabidopsis thaliana. Front Plant Sci 12:668792. https://doi.org/10.3389/fpls.2021.668792

10.3389/fpls.2021.66879234113366PMC8186832
43

Lu T, Song Y, Yu H, Li Q, Xu J, Qin Y, Zhang G, Liu Y, Jiang W (2022) Cold stress resistance of tomato (Solanum lycopersicum L.) seedlings is enhanced by light supplementation from underneath the canopy. Front Plant Sci 13:831314. https://doi.org/10.3389/fpls.2022. 831314

10.3389/fpls.2022.83131435498645PMC9039533
44

Magwaza LS, Opara UL (2015) Analytical methods for determination of sugars and sweetness of horticultural products-A review. Sci Horticu 184:179-192. http://doi.org/10.1016/j.scienta.2015.01.001

10.1016/j.scienta.2015.01.001
45

Mattila H, Mishra KB, Kuusisto I, Mishra A, Novotná K, Šebela D, Tyystjärvi E (2020) Effects of low temperature on photoinhibition and singlet oxygen production in four natural accessions of Arabidopsis. Planta 252:17. https://doi.org/10.1007/s00425-020-03423-0

10.1007/s00425-020-03423-032671474PMC7363673
46

May P, Liao W, Wu Y, Shuai B, Richard McCombie W, Zhang MQ, Liu QA (2013) The effects of carbon dioxide and temperature on microRNA expression in Arabidopsis development. Nat Commun 4:2145. https://doi.org/10.1038/ncomms3145

10.1038/ncomms314523900278
47

Mesa T, Romero A, Munné-Bosch S (2024) Differential response of roots and leaves to combined heat and salinity stresses in tomato plants (Solanum lycopersicum L.). Environ Exp Bot 226:105890. https://doi.org/10.1016/j.envexpbot.2023.105890

10.1016/j.envexpbot.2024.105890
48

Mishra A, Mishra KB, Surá K, Veselá B, Klem K, Urban O (2023) Non-photochemical quenching in natural accessions of Arabidopsis thaliana during cold acclimation. Environ Exp Bot 211:105372. https://doi.org/10.1016/j.envexpbot.2023.105372

10.1016/j.envexpbot.2023.105372
49

Murchie EH, Lawson T (2013) Chlorophyll fluorescence analysis: a guide to good practice and understanding some new applications. J Exp Bot 64:3983-3998. https://doi.org/10.1093/jxb/ert208

10.1093/jxb/ert20823913954
50

Na YW, Jeong HJ, Lee SY, Choi HG, Kim SH, Rho IR (2014) Chlorophyll fluorescence as a diagnostic tool for abiotic stress tolerance in wild and cultivated strawberry species (Fragaria spp.). Hortic Environ Biotechnol 55:280-286. https://doi.org/10.1007/s13580-014-0006-9

10.1007/s13580-014-0006-9
51

Oh S, Koh SC (2014) Photosystem II photochemical efficiency and photosynthetic capacity in leaves of tea plant (Camellia sinensis L.) under winter stress in the field. Hortic Environ Biotechnol 55:363-371. https://doi.org/10.1007/s13580-014-0055-0

10.1007/s13580-014-0055-0
52

Oliveira G, Peñuelas J (2005) Effects of winter cold stress on photosynthesis and photochemical efficiency of PSII of the Mediterranean Cistus albidus L. and Quercus ilex L. Plant Ecol 175:179-191. https://doi.org/10.1007/s11258-005-4876-x

10.1007/s11258-005-4876-x
53

Pastenes C, Horton P (1996) Effect of high temperature on photosynthesis in beans (II. CO2 assimilation and metabolite contents). Plant Physiol 112:1253-1260. https://doi.org/10.1104/pp.112.3.1253

10.1104/pp.112.3.125312226443PMC158053
54

Pérez-Torres E, Bascuñán L, Sierra A, Bravo L, Corcuera L (2006) Robustness of activity of Calvin cycle enzymes after high light and low temperature conditions in Antarctic vascular plants. Polar Biol 29:909-916. https://doi.org/10.1007/s00300-006-0131-8

10.1007/s00300-006-0131-8
55

Qiu N, Lu Q, Lu C (2003) Photosynthesis, photosystem II efficiency and the xanthophyll cycle in the salt‐adapted halophyte Atriplex centralasiatica. New Phytol 159:479-486. https://doi.org/10.1046/j.1469-8137.2003.00825.x

10.1046/j.1469-8137.2003.00825.x33873362
56

Ruban AV (2016) Nonphotochemical chlorophyll fluorescence quenching: mechanism and effectiveness in protecting plants from photodamage. Plant Physiol 170:1903-1916. https://doi.org/10.1104/pp.15.01935

10.1104/pp.15.0193526864015PMC4825125
57

Sakamoto M, Suzuki T (2015) Effect of root-zone temperature on growth and quality of hydroponically grown red leaf lettuce (Lactuca sativa L. cv. Red Wave). Am J Plant Sci 6:2350-2358. https://doi.org/10.4236/ajps.2015.614238

10.4236/ajps.2015.614238
58

Sharma DK, Andersen SB, Ottosen CO, Rosenqvist E (2015) Wheat cultivars selected for high Fv/Fm under heat stress maintain high photosynthesis, total chlorophyll, stomatal conductance, transpiration and dry matter. Physiol Plant 153:284-298. https://doi.org/10.1111/ppl.12245

10.1111/ppl.1224524962705
59

Shin YK, Bhandari SR, Cho MC, Lee JG (2020a) Evaluation of chlorophyll fluorescence parameters and proline content in tomato seedlings grown under different salt stress conditions. Hortic Environ Biotechnol 61:433-443. https://doi.org/10.1007/s13580-020-00231-z

10.1007/s13580-020-00231-z
60

Shin YK, Bhandari SR, Jo JS, Song JW, Cho MC, Yang EY, Lee JG (2020b) Response to salt stress in lettuce: Changes in chlorophyll fluorescence parameters, phytochemical contents, and antioxidant activities. Agronomy 10:1627. https://doi.org/10.3390/agronomy10111627

10.3390/agronomy10111627
61

Song Y, Chen Q, Ci D, Shao X, Zhang D (2014) Effects of high temperature on photosynthesis and related gene expression in poplar. BMC Plant Biol 14:1-20. https://doi.org/10.1186/1471-2229-14-111

10.1186/1471-2229-14-11124774695PMC4036403
62

Streb P, Aubert S, Gout E, Feierabend J, Bligny R (2008) Cross tolerance to heavy-metal and cold-induced photoinhibiton in leaves of Pisum sativum acclimated to low temperature. Physiol Mol Biol Plants 14:185-193. https://doi.org/10.1007/s12298-008-0018-y

10.1007/s12298-008-0018-y23572886PMC3550610
63

Taïbi K, Taïbi F, Abderrahim LA, Ennajah A, Belkhodja M, Mulet JM (2016) Effect of salt stress on growth, chlorophyll content, lipid peroxidation and antioxidant defence systems in Phaseolus vulgaris L. S Afr J Bot 105:306-312. https://doi.org/10.1016/j.sajb.2016.03.011

10.1016/j.sajb.2016.03.011
64

Toscano S, Trivellini A, Cocetta G, Bulgari R, Francini A, Romano D, Ferrante A (2019) Effect of preharvest abiotic stresses on the accumulation of bioactive compounds in horticultural produce. Front Plant Sci 10:1212. https://doi.org/10.3389/fpls.2019.01212

10.3389/fpls.2019.0121231636647PMC6788460
65

Trovato M, Mattioli R, Costantino P (2008) Multiple roles of proline in plant stress tolerance and development. Rend Lincei 19:325-346. https://doi.org/10.1007/s12210-008-0022-8

10.1007/s12210-008-0022-8
66

Tsai YC, Chen KC, Cheng TS, Lee C, Lin SH, Tung CW (2019) Chlorophyll fluorescence analysis in diverse rice varieties reveals the positive correlation between the seedlings salt tolerance and photosynthetic efficiency. BMC Plant Biol 19:1-17. https://doi.org/10.1186/s12870-019-1983-8

10.1186/s12870-019-1983-831519149PMC6743182
67

van Buer J, Prescher A, Baier M (2019) Cold-priming of chloroplast ROS signalling is developmentally regulated and is locally controlled at the thylakoid membrane. Sci Rep 9:3022. https://doi.org/10.1038/s41598-019-39838-3

10.1038/s41598-019-39838-330816299PMC6395587
68

Verslues PE, Sharma S (2010) Proline metabolism and its implications for plant-environment interaction. Arabidopsis Book 8:e0140. https://doi.org/10.1199/tab.0140

10.1199/tab.014022303265PMC3244962
69

Wang Y, Wang L, Zhou J, Hu S, Chen H, Xiang J, Zhang Y, Zeng Y, Shi Q, et al. (2019) Research progress on heat stress of rice at flowering stage. Rice Sci 26:1-10. http://doi.org/10.1016/j.rsci.2018.06.009

10.1016/j.rsci.2018.06.009
70

Wang Z, Li G, Sun H, Ma L, Guo Y, Zhao Z, Gao H, Mei L (2018) Effects of drought stress on photosynthesis and photosynthetic electron transport chain in young apple tree leaves. Biol Open 7:bio 035279. https://doi.org/10.1242/bio.035279

10.1242/bio.03527930127094PMC6262865
71

Warren CR (2008) Rapid measurement of chlorophylls with a microplate reader. J Plant Nutr 31:1321-1332. https://doi.org/10.1080/01904160802135092

10.1080/01904160802135092
72

Wei Y, Li Z, Lv L, Yang Q, Cheng Z, Zhang J, Zhang W, Luan Y, Wu A, et al. (2023) Overexpression of MbICE3 increased the tolerance to cold and drought in lettuce (Lactuca sativa L.). In Vitro Cell Dev Biol Plant 59:767-782. http://doi.org/10.1007/s11627-023-10381-1

10.1007/s11627-023-10381-1
73

Weng J, Li P, Rehman A, Wang L, Gao X, Niu Q (2021) Physiological response and evaluation of melon (Cucumis melo L.) germplasm resources under high temperature and humidity stress at seedling stage. Sci Hortic 288:110317. https://doi.org/10.1016/j.scienta.2021.110317

10.1016/j.scienta.2021.110317
74

Woo NS, Badger MR, Pogson BJ (2008) A rapid, non-invasive procedure for quantitative assessment of drought survival using chlorophyll fluorescence. Plant Methods 4:1-14. https://doi.org/10.1186/1746-4811-4-27

10.1186/1746-4811-4-2719014425PMC2628343
75

Xu H, Huang C, Jiang X, Zhu J, Gao X, Yu C (2022) Impact of cold stress on leaf structure, photosynthesis, and metabolites in Camellia weiningensis and C. oleifera seedlings. Horticulturae 8:494. https://doi.org/10.3390/horticulturae8060494

10.3390/horticulturae8060494
76

Yamamoto Y (2016) Quality control of photosystem II: the mechanisms for avoidance and tolerance of light and heat stresses are closely linked to membrane fluidity of the thylakoids. Front Plant Sci 7:1136. http://doi.org/10.3389/fpls.2016.01136

10.3389/fpls.2016.0113627532009PMC4969305
77

Yamane Y, Kashino Y, Koike H, Satoh K (1997) Increases in the fluorescence Fo level and reversible inhibition of photosystem II reaction center by high-temperature treatments in higher plants. Photosynth Res 52:57-64. https://doi.org/10.1023/A:1005884717655

10.1023/A:1005884717655
78

Yan Z, Ma T, Guo S, Liu R, Li M (2021) Leaf anatomy, photosynthesis and chlorophyll fluorescence of lettuce as influenced by arbuscular mycorrhizal fungi under high temperature stress. Sci Hortic 280:109933. https://doi.org/10.1016/j.scienta.2021.109933

10.1016/j.scienta.2021.109933
79

Yao J, Sun D, Cen H, Xu H, Weng H, Yuan F, He Y (2018) Phenotyping of Arabidopsis drought stress response using kinetic chlorophyll fluorescence and multicolor fluorescence imaging. Front Plant Sci 9:603. https://doi.org/10.3389/fpls.2018.00603

10.3389/fpls.2018.0060329868063PMC5958224
80

Yaseen I, Choi S, Mukhtar T, Park JI, Kim HT (2025) Quantification of growth and physiological characteristics in tolerant and sensitive watermelon lines under cold treatment. Hortic Environ Biotechnol 66:189-204. https://doi.org/10.1007/s13580-024-00663-x

10.1007/s13580-024-00663-x
81

Yu Q, Sun W, Han Y, Hao J, Qin X, Liu C, Fan S (2022) Exogenous spermidine improves the sucrose metabolism of lettuce to resist high-temperature stress. Plant Growth Regul 96:497-509. http://doi.org/10.1007/s10725-022-00800-5

10.1007/s10725-022-00800-5
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