Introduction

 

The effect of light signal on plants is mainly reflected in photosynthesis (Vialet-Chabrand et al. 2017; Wei et al. 2018). Low light stress can increase the activities of superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT) in plants’ antioxidant enzyme systems, and significantly affect free proline and malondialdehyde (MDA) contents (Iriti and Faoro 2009). Soluble protein and free proline contents in plants often change in response to environmental stress. Free proline is a cell osmoregulation substance that regulates a series of metabolic responses under adverse environmental conditions (Zhang et al. 2015). Under stress, an increase in lipid peroxidation in plant cell membranes can lead to the accumulation of MDA and cell damage. Protective enzymes such as CAT, POD, and SOD can eliminate reactive oxygen species (ROS) and free radicals, and are closely related to plant stress resistance (Sridevi and Chellamuthu 2015). In rice, the extent of decrease in the photosynthetic rate of leaves under low light stress was found to reflect differences in tolerance among varieties (Wang et al. 2016).

Chemical controls are often used in agricultural production. Many exogenous substances can support and/or promote physiological and biochemical processes such as photosynthesis, the transport and distribution of photosynthetic products, nutrient absorption, endogenous hormone contents, and the activity of protective enzymes (Batool et al. 2020). Many studies have shown that calcium ions (Ca2+) contribute to the structure of plant cells, and function to stabilise and protect the structure and function of the cell plasma membrane. Calcium is a second messenger in plants, and it forms bridge between phosphate and carboxyl groups in cell membrane proteins, thereby regulating the cellular response of plants to environmental changes. Changes in environmental factors often lead to an increase in free Ca2+ activity in the cytoplasm, which changes the activity of protein kinases in vivo, induces the expression of related genes and/or regulates the activity of H+-ATPases (Mclanughlin and Wimmer 1999; Romeis et al. 2001; Cheng et al. 2002). There is also evidence that Ca2+ can improve many kinds of resistance in plants, including resistance to cold, heat, drought, salt and disease (Kinoshita et al. 1995; Chen et al. 2004; Mahajan et al. 2008; Iwadate and Nakaoka 2008).

Research on the stress resistance of tobacco ranges from germplasm selection, to physiological and biochemical studies, to research at the molecular level (Schmidt and Delaney 2010; Harada et al. 2010). Although previous studies have explored the molecular mechanism of tobacco resistance to low temperature, drought and disease (Yin et al. 2015; Duan et al. 2016; Jin et al. 2017), none has focused on the mechanism by which exogenous Ca2+ regulates resistance to low light. Thus, the objectives of the present investigation were (1) to identify the effects of calcium on low light stress, and (2) to elucidate the transcriptome information. All these will provide important insight into plant growth under abiotic stress.

 

Materials and Methods

 

Experimental details and treatments

 

Experimental material: Tobacco (Nicotiana tabacum cv. Yunyan NO. 87) seedlings were grown in an artificial climate room on 16×10 point floating plates. Each treatment was repeated with three floating plates (160 seedlings per plate). The culture conditions were: 14-h day/10-h night cycle, 25°C days and 20°C nights, 80% relative humidity. Treatments started on the 16th day after cotyledon emergence.

Treatments: To determine the optimal application mode and concentration of exogenous Ca2+, seedlings were treated with foliar sprays (SC) or nutrient solutions (SN) containing Ca2+ at different concentrations. The Ca2+-specific chelating agent EGTA, which reduces the activity of endogenous Ca2+, was also supplied to verify the role of Ca2+. The control had a light intensity of 300 µmolm-2s-1, while the treatments were as follows: S (80 µmolm-2s-1), SE10 (80 µmolm-2s-1 + 10 mM EGTA spray), SN20 (80 µmolm-2s-1 + 20 mM CaCl2 in nutrient solution), SN30 (80 µmolm-2s-1 + 30 mM CaCl2 in nutrient solution), SC10 (80 µmolm-2s-1 + 10 mM CaCl2), SC20 (80 µmolm-2s-1 + 20 mM CaCl2). Spraying onto the abaxial and adaxial surfaces of tobacco leaves was conducted at 8:00 AM.

 

Plant harvesting

 

Samples were collected from the control and the S, SC, and SN treatments on the 9th day after treatments to evaluate seedling growth and development, lipid peroxidation, antioxidant enzyme activity, and gene expression (by RNA-Seq transcriptome and qRT-PCR analyses). The gas exchange and transpiration rates were measured in seedlings in the control and the S, SC20, and SE10 treatments on the 9th and 12th day after treatments.

 

Determination of tobacco seedling growth and development

 

At harvest, the substrate was removed from the roots of tobacco seedlings, and then the roots were washed with water and dried on absorbent filter paper. Vernier calliper was used to measure stem girth, while straightedge was used to measure plant height and main root length. An analytical balance was used to measure fresh weight after removing the roots. The leaf area was determined by a YMJ-B scanning living leaf area meter (Zhejiang Top Instrument Co., Ltd., Zhejiang, China). The leaf SPAD value was measured with a SPAD-502 PLUS chlorophyll meter (Konica Minolta Sensing, Osaka, Japan), which provides a rapid estimate of leaf chlorophyll content. Five replicates for each treatment were measured.

 

Determination of lipid peroxidation and antioxidant enzyme activity

 

The soluble protein content was assayed following the method of Bradford (1976). Fresh leaf sample (0.2 g) was homogenized with 5 mL of buffer solution. Then the homogenate was centrifuged and 1 mL of the supernatant was mixed with 5 mL Coomassie brilliant blue solution. Soluble protein content was then detected spectrophotometrically at 595 nm. MDA content was determined by the method described by Fu and Huang (2001) with some modifications. 1.0 g of fresh leaf sample was homogenized with 4 mL of 10% trichloroacetic acid. The precipitate was removed by centrifugation, and 2 mL of supernatant extract was mixed with 2 mL of 0.6% thiobarbituric acid. The mixture was incubated in boiling water for 15 min. MDA content was detected spectrophotometrically at 532 nm. Free proline content was estimated according to Bates et al. (1973). Fresh leaf sample (0.5 g) was extracted in 5 mL of 3% sulphosalicylic acid. 2 mL of centrifuged supernatant was reacted with 4 mL of 2.5% acid ninhydrin reagent and 2 mL of glacial acetic acid. The mixture was incubated in boiling water for 30 min and extracted with 4 mL of toluene when chilled. Absorbance of the resulting organic layer was measured at 520 nm. Free proline content was estimated by referring to a standard curve. Fresh leaf sample (0.5 g) was homogenized in 5 mL extraction buffer (0.1 M phosphate buffer). The homogenate was then centrifuged at 12,000 × g for 15 min at 4°C, and the supernatant was used as the crude extract for antioxidants enzymes. SOD activity was measured according to the method described by Beyer and Fridovich (1987). POD and CAT activities were measured using the method of Chance and Maehly (1955). The superoxide anion production rate was determined according to Elstner and Heupal (1976) with some modifications. Fresh leaf sample (0.2 g) was extracted in 1 mL of PBS (0.05 M phosphate buffer). 0.5 mL of centrifuged supernatant was reacted with 0.5 mL of PBS and 1 mL of hydroxylamine hydrochloride. After incubating in 25°C for 1 h, 1 mL of p-aminobenzenesulfonic acid and 1 mL 1-naphthylamine was added into the reaction solution. Superoxide anion production rate was detected at 530 nm by spectrophotometry, and was estimated by referring to a standard curve.

 

Photosynthetic parameters

 

Photosynthetic parameters were measured of the fourth true leaf of seedlings in each treatment. Gas exchange and the transpiration rate were measured using the Li-6400 Portable Photosynthesis Measurement System (LI-COR, Lincoln, NE, United States) between 8 AM and 10 AM. The CO2 concentration in the leaf chamber was 400 mmol·mol-1. The net photosynthetic rate (Pn), stomatal conductance (gs), intercellular CO2 concentration (Ci), and transpiration rate (Tr) were determined.

 

RNA-Seq transcriptome analysis

 

Samples from the S and SC20 treatments were designated as TBS and TBC, respectively. Leaf samples were frozen in liquid nitrogen and stored at −80°C until RNA isolation. RNA was extracted with a Total RNA Extraction Kit (Tiangen, Beijing, China) according to the manufacturer’s protocol and then its integrity was assessed by 0.8% agarose gel electrophoresis. The RNA samples were reverse-transcribed into cDNAs in a reaction volume of 20 μL. The cDNA samples were sent to the Beijing Nuohe Zhiyuan Biotechnology Co., Ltd., Beijing, China) for transcriptome sequencing. Differentially expressed genes (DEGs) were identified based on the following criteria: P < 0.05; FDR <0.01; log2 fold change X. Differences in gene transcript levels between samples were detected using the FPKM method (Trapnell et al. 2012). The identified DEGs were subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses.

 

qRT-PCR verification

 

Gene transcript levels were also determined by qRT-PCR using the cDNA obtained by the above method. Specific primer pairs were designed using Primer 5.0 software (Table 1). The relative mRNA levels were quantified with respect to the internal standard, L25. The qRT-PCR analyses were performed as described by Jain et al. (2006).

 

Statistical analysis

 

All experiments were conducted with three replicates and results are expressed as mean ± standard deviation (SD). All data were subjected to one-way analysis of variance (ANOVA) and the significance of differences was determined by LSD multiple comparison (p<0.05 and p<0.01). Excel 2007 (Microsoft, Redmond, WA, USA) and SPSS 19 software (SPSS Inc., Chicago, IL, USA) were used to process data and conduct statistical analyses.

 

Results

 

Effect of calcium on lipid peroxidation in tobacco seedlings under low light stress

 

First, to determine optimal application method and concentration of exogenous Ca2+, solutions with different concentrations Ca2+ were applied as a foliar spray (SC) or as a nutrient solution (SN). Proline is an important osmoregulation substance that accumulates in plants in free form under stress. We evaluated the changes in free proline content in tobacco seedlings in the different treatments. Compared with the control, the S treatment resulted in significantly increased free proline content in tobacco leaves, while exogenous application of Ca2+ decreased the free proline content, especially in the SC20 treatment (Table 2). Thus, a certain concentration of exogenous Ca2+ applied as a foliar spray reduced the accumulation of osmotic products under low light stress.

Soluble proteins are also important osmoregulation substances that play a protective role as components of various compounds and biofilms. Therefore, the soluble protein content is often measured as an indicator of resistance. The soluble protein content in tobacco leaves was lower in the S treatment than in the control, and the application of exogenous Ca2+ increased the soluble protein content, especially in the SN30 and SC20 treatments. The results showed that both 30 mM CaCl2 in nutrient solution and spraying with 20 mM CaCl2 were able to increase the content of soluble proteins in tobacco leaves under low light stress. One of the most important products of membrane lipid peroxidation is MDA. Various environmental conditions lead to the production of ROS and free radicals in plants, and the accumulation of these substances can reflect the degree of damage under stress. Compared with the control, the S treatment increased the MDA content and O2·- production rate in tobacco leaves, while exogenous Ca2+ inhibited O2·- production, and the SC20 treatment resulted in a significantly reduced MDA content. The results showed that exogenous Ca2+ reduced the extent of increase in oxygen free radicals, MDA, and membrane lipid peroxidation products in tobacco under low light stress.

 

Effect of calcium on growth and development of tobacco seedlings under low light stress

 

As shown in Table 3, the plant height, stem girth, main root length, leaf area, fresh weight and SPAD value of tobacco seedlings were lower under low light stress than in the control and the SN20 and SN30 treatments resulted in increased values of the agronomic indexes of tobacco seedlings under low light stress (Table 3). Compared with the SN20 treatment, the SN30 treatment significantly increased the main root length, leaf area, fresh weight, and leaf SPAD value of tobacco seedlings under low light stress. The SC10 and SC20 treatments also significantly increased some agronomic indexes of tobacco seedlings under low light stress. Compared with the SC10 treatment, the SC20 treatment had a more obvious effect. Compared with the SN30 and S treatments, the SC20 treatment resulted in significantly greater stem girth, leaf area, and leaf SPAD under low light stress (increased by 29.4, 57.5, and 36.2%, respectively, compared with the S treatment; and by 9.9, 8.4, and 6.1%, respectively, compared with the SN30 treatment). The results showed that Ca2+ treatment can effectively promote the growth and development of tobacco seedlings, and that spraying was the most effective application method.

Effect of calcium on antioxidant enzyme system in leaves of tobacco under low light stress

Table 1: Primers in qRT-PCR

 

Gene

Primer sequence (5’–3’)

CCaMK

FP (forward primer): AAGAACAGATGGACGCCGAGATTG

RP (reverse primer): AAGCTGCTGCTCAAGACACTGG

CDPK9

FP: TGCGCGAAGTTGATACAGACAAGG

RP: GCCACTGAGCACATCCTGAAGC

CAS

FP: TCACCTCTTCCTCCGCCTTCTTC

RP:GCTGAGTGCTCTGGCTTCATGG

ACRE20

FP: AGGTGGGGATGGTTTAATTGGTG

RP: TCTTGAAGCCCTAACAAAGCAGA

ACRE57

FP: AGATGGAAGCGAAGAAGAGAAGGC

RP:CTCCGGCGTTATACATCCACATCC

LHCB4

FP: GGACCAGGACTGAACTTGCTGATG

RP: AGCACCAAGTGTAGCCAACATAGC

CAB21

FP: GGCCTCTTGGTGAGGTTGTCG

RP: ATGGTCAGCAAGGTTCTCCAATGG

rbcS

FP: AGCTGTTGCCGTTGCCACTG

RP: GGAAGGAGGAGGCGGACTTGAG

L25

FP: GCCAAGGCTGTCAAGTCAGGATC

RP: TTCATTGCAGACTCTGTGGTGAGG

 

Table 2: Effect of calcium on proline, soluble protein, MDA content, and superoxide anion production rate of tobacco seedlings under low light stress

 

Treatments

Free proline (µg•g-1FW)

Soluble protein (mg•g-1FW)

O2 production rate (µmol•min-1•g-1FW)

MDA (µmol•g-1FW)

Control

62.2±1.9cB

14.5±0.37aA

3.23±0.03cC

1.70±0.18cB

S

79.6±4.5aA

9.0±0.65dC

4.71±0.14aA

2.90±0.31aA

SN20

80.0±3.9aA

10.2±0.14cdC

4.19±0.27bAB

2.32±0.10bAB

SN30

72.2±1.9abAB

11.5±0.33bcBC

4.15±0.05bAB

1.98±0.28bcB

SC10

77.1±2.3aA

10.0±0.19cdC

3.96±0.22bB

2.03±0.08bcB

SC20

66.7±4.5bcAB

12.9±0.80bAB

3.91±0.05bB

1.73±0.07cB

Note: Lower-case letters represent 0.05 level and upper-case letters represent P < 0.01 level

 

Table 3: Effect of calcium on tobacco agronomic traits under low light stress

 

Treatments

Plant height (cm)

Stem girth (cm)

Main root length {cm)

Leaf area (cm2)

Fresh weight (g)

SPAD value

Control

0.49±0.02aA

0.83±0.03aA

7.60±0.17aA

11.91±0.36aA

1.33±0.05aA

30.52±1.20aA

S

0.34±0.03dC

0.51±0.03eD

5.26±0.21dD

7.32±0.31fE

0.79±0.06eE

21.76±1.11dD

SN20

0.43±0.02bcB

0.68±0.04cB

6.32±0.14cC

8.69±0.10dD

1.07±0.08cC

26.00±0.34cC

SN30

0.45±0.04bAB

0.71±0.03cB

6.96±0.24bB

10.20±0.22cC

1.20±0.04bB

27.94±0.19bB

SC10

0.39±0.02cdBC

0.61±0.02dC

6.21±0.43cC

8.17±0.26eD

0.93±0.04dD

25.19±1.26cC

SC20

0.45±0.05bAB

0.78±0.03bA

7.30±0.27abAB

10.82±0.28bB

1.20±0.05bAB

29.26±0.50aAB

Note: Lower-case letters represent 0.05 level and upper-case letters represent P < 0.01 level

 

The antioxidant enzyme system can eliminate reactive oxygen species and free radicals, maintain the balance of plant metabolism and participate in resistance to external stress. Compared with the control, the S treatment significantly increased SOD activity, and the SN30 and SC20 treatments significantly increased SOD activity by 6% and 19%, respectively. These results indicated that exogenous Ca2+ can improve the ability of tobacco seedling leaves to scavenge O2·- under low light stress (Table 4). The POD activity in the SC10 and SC20 treatments was 35% higher and 46% higher, respectively, than that in the control. Another main scavenger of H2O2 is CAT, which is abundant in mesophyll cells. The SC20 treatment significantly increased CAT activity under low light stress by 15%. These results showed that exogenous Ca2+ increased the H2O2 scavenging capacity in tobacco seedlings under low light stress.

Effect of calcium on gas exchange and transpiration rate of tobacco leaves under low light stress

 

On the 9th day after treatments, the Pn was decreased significantly in the S treatment, to 72.41% of that in the control (Table 5). The SC20 treatment increased the Pn in tobacco leaves by 20.63% under low light, but it was still lower than that in the control. The SE10 treatment significantly reduced the Pn of tobacco leaves by 34.92%. On the 12th day after treatments, the Pn and gs had increased (Table 6). The gs of tobacco leaves in the S treatment was only 37.5% of that in the control on the 12th day after treatments. Exogenous Ca2+ treatments increased gs, while the SE10 treatment significantly decreased the gs in leaves of tobacco under low light stress.

The Ci of tobacco leaves in the S treatment continued to decrease during the experimental period. Compared Table 4: Effect of calcium on SOD, POD and CAT activity of tobacco leaves under low light stress

 

Treatments

SOD activity (U•min-1•g-1FW)

POD activity (U•min-1•g-1FW)

CAT activity (U•min-1•g-1FW)

Control

5.44±0.12dC

10.1±0.32cC

45.9±2.12bB

S

5.67±0.01cC

14.6±1.77bBC

49.5±4.67bAB

SN20

5.66±0.09cC

14.3±0.95bBC

47.6±1.91bAB

SN30

6.02±0.12bB

14.6±2.30bBC

47.1±1.27bB

SC10

5.71±0.03cC

19.7±1.70aAB

51.5±0.64abAB

SC20

6.75±0.01aA

21.4±0.39aA

57.0±1.70aA

Note: Lower-case letters represent 0.05 level and upper-case letters represent P < 0.01 level

 

Table 5: Effect of calcium regulation on the photosynthesis parameters of tobacco leaves under low light intensity environment (the 9st day after treatments)

 

Treatments

Pn (μmol·m-2·s-1)

gs (mol·m-2·s-1)

Ci (μmol·mol-1)

Tr (mmol·m-2·s-1)

Control

8.7±0.36aA

0.15±0.01aA

169±3.51aA

1.62±0.17aA

S

6.3±0.45cC

0.06±0.01cC

136±6.56cC

0.62±0.04cC

SC20

7.6±0.35bB

0.09±0.01bB

154±3.21bB

0.95±0.04bB

SE10

4.1±0.25dD

0.04±0.01dC

108±4.16dD

0.43±0.03dC

Note: Lower-case letters represent 0.05 level and upper-case letters represent P < 0.01 level

 

Table 6: Effect of calcium regulation on the photosynthesis parameters of tobacco leaves under low light intensity environment (the 12th day after treatments)

 

Treatments

Pn (μmol·m-2·s-1)

gs (mol·m-2·s-1)

Ci (μmol·mol-1)

Tr (mmol·m-2·s-1)

Control

10.7±0.51aA

0.27±0.02aA

207±5.03aA

2.45±0.08aA

S

7.9±0.20cC

0.09±0.00cC

159±3.06cB

1.04±0.09cC

SC20

8.9±0.20bB

0.13±0.01bB

171±4.72bB

1.43±0.09bB

SE10

6.7±0.40dD

0.08±0.01dC

137±3.51dC

0.68±0.04dD

Note: Lower-case letters represent 0.05 level and upper-case letters represent 0.01 level

 

Table 7: Reads quality statistics after filtering

 

Sample

Raw reads

Clean reads

Q20 (%)

GC content (%)

TBS_1

59303848

58596638

96.67

43.32

TBS_2

51983730

51373534

96.64

43.27

TBC_1

46005596

45340932

96.59

42.51

TBC_2

51324516

50658704

96.51

42.72

 

with the control, the S treatment resulted in 19.53% lower Ci on the 9th day after treatments, and 23.19% lower Ci on the 12th day. Compared with the S treatment, the SC20 treatment increased the Ci by 13.24% and 7.54% on the 9th and 12th day, respectively. In contrast, the Ci in the SE10 treatment decreased sharply under low light. The Tr of leaves increased during seedling growth. On the 12th day after treatments, the Tr in the S treatment was only 42.45% of that in the control, but was 37.5% higher in the SC20 treatment than in the S treatment. The Tr was significantly reduced by the SE10 treatment. These results show that exogenous Ca2+ helped to maintain a higher photosynthetic capacity in tobacco under low light stress.

 

Quality control of transcriptome data and screening of DEGs

 

Tobacco seedlings grown under low light intensity (TBS_1, TBS_2) and under low light intensity with foliar application of Ca2+ (TBC_1, TBC_2) were used to prepare the sample libraries for RNA-Seq. We obtained 5933848, 51983730, 46005596 and 51324516 raw reads for the TBS_1, TBS_2, TBC_1, and TBC_2 libraries, respectively (Table 7). After removing adapter-related reads, reads containing more than 10% N, and low-quality reads, the number of reads in the TBS_1, TBS_2, TBC_1, and TBC_2 was 58596638, 51373534, 45340932, and 50658704, respectively. After removing base fragments with phred values of less than 20, 96.67, 96.64, 96.59, and 96.51% of the libraries remained, with GC contents of 43.32, 43.27, 42.51, and 42.72%, respectively.

 

 

Fig. 1: Scatter-plot Distribution of DEG

Note: X and Y axis represents the logarithmic value of gene expression

 

 

 

Fig. 2: Go enriched analysis of differentially expressed genes.

Note: * representing padj<0.05 significant enrichment.

 

 

Fig. 3: Scatter plot of differential gene KEGG enrichment.

Note: The number of differentially expressed genes was represented by the size of the point, and the different qvalue ranges were distinguished by the color of the point.

 

The results confirmed that the quality of the sequencing data was sufficient for further biological analyses. The genes significantly up-regulated, down-regulated, and without significant differences in expression are shown in red, green, and blue, respectively Fig. 1. A total of 13233 DEGs were identified, of which 5964 were down-regulated and 7269 were up-regulated in the TBC group compared with the TBS group. There were more up-regulated genes than down-regulated genes. Many genes related to growth and development were activated and only a few genes were inhibited in the TBC treatment.

 

GO and KEGG analyses for DEGs

 

The DEGs were mainly divided into two categories in the GO enrichment analysis: biological process with 15 DEGs) and molecular function with 14 DEGs (Fig. 2). The DEGs in the biological process category were in the subcategories of regulation of transcription, DNA-template, regulation of nucleic acid template, regulation of RNA biosynthetic process, regulation of nucleobase-containing compounds, regulation of biosynthetic process, and regulation of RNA metabolic process. In the molecular function category, the transporter activity subcategory contained the most DEGs, followed by nucleic acid binding transcription factor activity, transcription factor activity, and RNA polymerase activity. The effect of Ca2+ on tobacco seedlings under low light stress was regulated by DEGs in these enriched pathways.

The top 20 pathways with the lowest qvalues are shown in Fig. 3. In the Figure, the number of DEGs is represented by the size of the point, and different colors indicate different qvalue ranges. More than 80 DEGs were related to the biosynthesis of secondary metabolites. Ribosome biogenesis in eukaryotes and galactose metabolism had the lowest qvalues, indicating that they were the pathways most enriched with DEGs. These results highlighted which pathways were most significantly enriched with up-regulated DEGs.

 

DEGs and qRT-PCR verification

 

We conducted qRT-PCR analyses for some of the DEGs identified from the RNA-Seq data. The results were consistent with those of the RNA-Seq analysis, confirming that the results of RNA-seq were reliable (Fig. 4). The CCaMK gene, which encodes a calcium/calmodulin dependent protein kinase, was up-regulated in the TBC treatment, as were CDPK9 (encoding calcium-dependent protein kinase), ACRE20 and 57 (encoding calmodulin-like proteins) and rcbS (encoding the RuBisCo small subunit). The significantly down-regulated genes included CAS (encoding a calcium receptor), CAB21 (encoding the light harvesting chlorophyll A/B binding protein) and LHCB4 (encoding a secondary light harvesting pigment protein).

 

Discussion

 

 

Fig. 4: Quantitative real-time PCR validations of gene expression levels from digital gene expression (DGE) analysis. Primers used are listed in Supplementary Table 1.

 

Several previous studies have shown that Ca2+ can have a protective effect on plants under stress conditions. For example, Zoysia grass pre-treated with 10 mM CaCl2 showed higher Pn and antioxidant enzyme activities than those of the control under drought stress, and the drought tolerance of Zoysia grass was improved by applying a moderate concentration of Ca2+ (Xu et al. 2013). Under all kinds of stress, various metabolic pathways in plants become disordered and unbalanced, and the accumulation of ROS results in oxidative stress and cell membrane damage. Proline, when accumulated in free form, is an important osmolyte in plants to combat stress conditions. Soluble proteins are also involved in osmoregulation, and are also components of important nutrients. Therefore, the soluble protein content is often determined as an indicator of resistance (Suzuki et al. 2012). In another study, treatment with 27 mM CaCl2 significantly decreased the MDA content, increased the activities of protective enzymes, and increased the soluble protein content in the leaves of tomato seedlings under low light stress (Li and Li 2008). In general, compared with the SN treatments, the SC treatments had greater effects on membrane lipid peroxidation. Among others, 20 mM CaCl2 spray treatment had the strongest protective effect: increased soluble protein content by 30.2%, decreased content of free proline and MDA by 16.2 and 40.3% respectively, and lowered production of O2·- by 17% in tobacco seedlings under low light stress. This result is basically consistent with those of previous studies, and shows that spraying with Ca2+ can improve the tolerance of tobacco seedlings to low light stress (Xu et al. 2013; Li and Li 2008).

In practical production, factors such as the medium and long-term rainy weather lead to low light conditions in the greenhouses. This results in slower growth and development of tobacco plants, a prolonged growth period, and reduced dry matter accumulation, which negatively affect the yield and quality of tobacco. Therefore, it is of theoretical and practical significance to improve the tolerance of tobacco plants to low light stress via various agronomic measures (Wang et al. 2014). Previous studies have shown that Ca2+ pretreatment (spraying with 3 mmol·L-1 CaCl2 every 4 days, four times in total) improved the dry weight and total chlorophyll content of tobacco seedlings, and enhance their overall quality (Yang et al. 2018). In this study, spraying with 20 mM CaCl2 significantly increased the plant stem girth, leaf area, and SPAD value by 29.4, 57.5 and 36.2%, respectively under low light stress. The SC20 treatment was more effective than the SN20 or SN30 treatments of tobacco seedlings under low light stress, suggesting that this treatment may be used to support and promote the growth of tobacco under adverse weather conditions at the early stage of seedling growth and development.

Chlorophyll is responsible for light energy conversion and transmission during plant photosynthesis. In this study, exogenous Ca2+ not only improved the SPAD value of leaves, but also enhanced their photosynthetic rate. The Pn, gs, Ci, and Tr of tobacco leaves were significantly increased by spraying with 20 mM CaCl2 under low light intensity, while spraying with 10 mM EGTA had the opposite effect. On the 12th day after treatments, SC20 treatment increased Pn, gs, Ci and Tr by 12.7, 44.4, 7.54 and 37.5%, respectively. In another study, cucumber seedlings pretreated with 10 mM CaCl2 maintained high Pn because of increased activities of photosynthesis-related enzymes under low light, while EGTA resulted in lower Pn because of decreased enzyme activities (Liang et al. 2009). The differences in the optimal concentration of Ca2+ between our study and other studies may be related to differences in plant species or treatment processes.

Many of the genes that were up-regulated by Ca2+ treatment in tobacco plants under low light stress encode enzymes involved in growth, development, and stress responses. For example, CCaMKs can instantly respond to changes in Ca2+ concentrations and induce gene expression, as well as participating in plant growth, leaf development, signal transduction, and responses to stress (Tirichine et al. 2006). CDPKs have a similar function, and their activity is related to the Ca2+ concentration. They are involved in the abiotic stress response of plants and the regulation of stomatal movement. Previous studies have shown that CDPKs are also related to responses to the light environment (Giammaria et al. 2011; Saijo et al. 2011). ACREs have a wide range of biological functions, such as regulating seedling morphogenesis and stress responses, and participating in light and hormone signalling during plant growth and development (Friml et al. 2004; Bender et al. 2013). Many ACREs are involved in primary defence responses (Rowland et al. 2005). A previous microarray study showed that expression of ACRE genes responds to abiotic stress signals to varying degrees (Chinpongpanich et al. 2012). Rubisco, which is composed of eight large subunits (rbcL) and eight small subunits (rbcS), is the key enzyme for carbon fixation in photosynthesis. Decreased Rubisco activity is a non-stomatal limiting factor of the photosynthetic rate in plants (Xu et al. 2012). In this study, genes encoding all of these proteins were up-regulated by Ca2+ treatments in tobacco under low light stress, indicated that they may be involved in the process of Ca2+-mediated regulation of light tolerance.

Among 5964 down-regulated genes in Ca2+ treatments under low light stress, some were also involved in photosynthesis. CAB is a component of photosystem I, and is a part of the photopigment protein complex. It participates in the transformation and transmission of light energy and in balancing the distribution of energy between the two light systems. Thus, it plays roles in light protection and adaptability to various environments (Labate et al. 2004). LHCB4, a secondary light harvesting pigment protein, is a component of the chlorophyll-a/b-binding sub-complex in the internal antenna of photosystem II, and plays an important role in plant light protection (Mozzo et al. 2008; Bianchi et al. 2011; Miloslavina et al. 2011). Genes encoding this protein have been cloned from a variety of crops, and the expression of LHCB4 under various environmental conditions has been studied (Klimmek et al. 2006; Wehner et al. 2006; Pan et al. 2011). Previous studies have shown that strong light stress can induce the phosphorylation of LHCB4 (Kargul et al. 2005). These results indicate that some light-harvesting proteins in photosystems I and II are affected by Ca2+ during the regulation of light tolerance in tobacco seedlings.

 

Conclusion

 

Spraying with 20 mM CaCl2 can promote the growth of tobacco seedlings under low light stress by increasing their antioxidant capacity, enhancing osmotic regulation, reducing the extent of oxidative damage, improving photosynthetic performance, and facilitating normal cellular function. Spraying with 20 mM CaCl2 can alleviate and restore the damage to tobacco seedlings under low light stress. A transcriptome sequencing analysis revealed 13233 DEGs between tobacco seedlings treated with and without Ca2+ under low light stress. These DEGs were grouped into 15 biological process and 14 molecular function categories, and the most enriched pathways were secondary metabolite biosynthesis, ribosome biogenesis, and galactose metabolism.

Acknowledgements

 

This work was financially supported by Key Project of Guizhou Provincial Science and Technology Project (Qian Ke He Zhicheng [2018] 20104), Zunyi Innovation Talent Team Training Project (Zun Shi Ke Ren Cai [2019] No. 7), Zunyi City Joint Science and Technology Research and Development Fund Project (Zun Shi Ke He Ji [2018] No. 10), Cultivation Project for Innovative Exploration of Academic New Seedlings in Guizhou Province (Qian Ke He Pingtai Rencai [2017] 5727-18), Zunyi Normal University Serving Rural Industrial Revolution Project (Zun Shi He Nongcun Chanye Zi 201910), Zunyi Science and Technology Innovation Platform Construction Project (Zun Shi Ke He (2017) No. 12), Zunyi Innovation Talent Team Training Project (Zun Shi Ke Ren Cai [2018] No. 1) and Doctoral Foundation of Zunyi Normal College (BS [2015] 14).

 

Author Contributions

 

Xiaoxi Guan and Changling Sui planned the experiments and made the write up, Zhifeng Chen and Chaoyan Lv interpreted the results, Kailian Luo, Jihong Chen and Wei Wu statistically analyzed the data and made illustrations.

 

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