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Transcriptional profiling reveals changes in gene regulation and signaling transduction pathways during temperature stress in wucai (Brassica campestris L.)

BMC Genomics volume 22, Article number: 687 (2021) Cite this article

Abstract

Background

Wucai (Brassica campestris L. ssp. chinensis var. rosularis Tsen) is a cold-tolerant plant that is vulnerable to high temperature. This study explored the response mechanism of wucai to low temperature. In this study, wucai seedlings were treated with different temperatures, including low temperature (LT), high temperature (HT), and a control.

Results

According to transcriptomics analysis, the number of differentially expressed genes (DEGs) in HT and LT was 10,702 and 7267, respectively, compared with the control. The key genes associated with the physiological response of wucai to the treatments were analyzed. The Kyoto Encyclopedia of Genes and Genomes and Gene Ontology annotations indicated the importance of the photosynthesis and photosynthetic-antenna protein pathways. We found that a high-temperature environment greatly inhibited the expression of important genes in the photosynthetic pathway (BrLhc superfamily members, PsaD, PsaE, PsaD, PsaD, PsbO, PsbP, PsbQ, PsbR, PsbS, PsbW, PsbY, Psb27, and Psb28), whereas low temperature resulted in the expression of certain key genes (BrLhc superfamily members, Psa F, Psa H, Psb S, Psb H, Psb 28). In addition, the wucai seedlings exhibited better photosynthetic performance under low-temperature conditions than high-temperature conditions.

Conclusions

Based on the above results, we speculate that upon exposure to low temperature, the plants developed higher cold tolerance by upregulating the expression of genes related to photosynthesis. Conversely, high-temperature stress inhibited the expression of pivotal genes and weakened the self-regulating ability of the plants.

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Background

Temperature stress is major abiotic stress that influences the survival, geographical distribution, and yield of plants on a global scale. To manage thermal stress, plants modify their physiology, morphology, metabolic pathways, and cellular and sub-cellular structures via signal transduction and the expression regulation of genes related to temperature stress [1,2,3].

Under heat stress, the balance between reactive oxygen species (ROS) production and elimination is rapidly disrupted, leading to an increase in ROS content. Heat stress may also lead to the increased production of reactive nitrogen species (RNS), which have toxic effects on cells, resulting in nitrosative stress [4,5,6]. Cold stress can cause damage to a plant by reducing photosynthetic rates, which arises from the direct inhibition of metabolic enzymes by cold stress and the reprogramming of gene expression [7, 8]. Both cold and heat stress can change the fluidity of cellular phospholipid membranes [9]. This type of change can be sensed by integral membrane proteins, allowing for stress transcription factors to activate stress-responsive genes [10]. Finally, these pathways lead to adjustments in plant metabolism and development that are aimed at reaching homeostasis under stressful conditions [11, 12].

In addition to the physiological responses to cold and heat, plant resistance to stress is often activated by alterations in gene expression. Transcriptomics is used to evaluate systematic changes in gene expression and estimate the response of plants to temperature stress. The positive roles of the high expression of COR genes and the conserved mechanism of circadian clock-related genes in the response of tobacco to cold stress provided some valuable genes for crop improvement under cold stress [13]. The transcriptome of Chlamydomonas reinhardtii exposed to cold indicated differentially expressed genes (DEGs) that were associated with protein synthesis, cell cycle, and protein kinase-based phosphorylation [14]. The BcHSP70 gene obtained from Brassica campestris was transferred into tobacco. After high temperature treatment, it was found that compared with wild-type tobacco, the chlorophyll content in the transformant was increased, the SOD and POD activities were improved, the specific conductivity and MDA content were decreased, the accumulation of proline and soluble sugar was increased [15]. Under heat stress, the expression of HSP70 in cabbage increased by about 3 times, and HSP70 can be used as an index to identify the heat tolerance of cabbage [16]. Arabidopsis CAMTA1, CAMTA2 and CAMTA3 promote low temperature and freezing tolerance by activating the CBF (C-repeat/DRE binding factor) transcription factor [17]. ICE1 is a well-defined helix-loop-helix (bHLH) protein, which can be used as an upstream regulator of the cold response transcriptional regulation cascade in Arabidopsis. ICE1 regulates the transcriptional expression of downstream genes by binding to the MYC element (CANNTG) on the CBF gene promoter, and CBF regulates many cold regulatory (COR) genes [18,19,20]. In wheat, according to transcriptome profiling, Hsp-family, ascorbate peroxidase, β-amylase, γ-gliadin-2, and LMW-glutenin were upregulated under heat stress in the developing grains [21]. Song et al. (2016) analyzed cold and heat treatments in non-heading Chinese cabbage using RNA sequencing (RNA-Seq). The enrichment analyses identified 33 DEGs and 25 DEGs under heat and cold treatment, respectively [22].

In our previous study, tandem mass tag (TMT) labeling was used to analyze the changes between HT-treated and LT-treated plants at the protein level [23]. The results indicated that 172 differentially expressed proteins exhibited simultaneous upregulation in response to both HT and LT and were related to photosynthesis, carbohydrate metabolism, redox homeostasis, chaperones, heat-shock proteins, and signal transduction pathways. Wucai grows under low-temperature environments, such as late autumn or winter in the Yangtze-Huaihe River Basin. Once wucai is exposed to a high-temperature environment, its growth will be inhibited and heat damage will occur [24]. Elucidating the regulatory pattern of the response of wucai to LT is thus of great interest. The wucai genotype ‘WS-1’, a variety of non-heading Chinese cabbage with higher tolerance to LT than other germplasms, was selected in this study to illustrate the physiological and biochemical aspects involved in the response to both LT from the aspects of morphology, photosynthetic function, and related gene transcription level alterations. A perspective on the specific low temperature tolerance mechanism of wucai, as a hardy crop, is also presented.

Results

The effect of different temperature stress treatments on the growth parameters of wucai seedlings

After 3d of HT treatment, the leaves of wucai turned yellow and curled significantly. After 3d of LT treatment, there was no obvious change in the appearance of the seedlings. As shown in the figure (Additional file: Figure S1), the growth status of wucai seedlings changed differently after 3d of treatment at different temperatures. After high temperature treatment, the plant height was significantly higher than that before treatment, while after low temperature treatment, the plant height was significantly lower than that before treatment, but there was no significant change in the control group at room temperature for 3 days. The single plant weight after treatment also showed different changes (Fig. 1a). The single plant weight after high temperature and low temperature treatment was significantly decreased by 18.28 and 6.50%, respectively, while it was significantly increased by 4.93% in the normal temperature control group (Fig. 1b). RWC of LT and HT were significantly lower than Cont, with the relative water content of LT being higher than that of HT (Fig. 1c).

Fig. 1
figure 1

The effects of different temperature stresses on the plant height (a), single plant weight (b), and relative water content (RWC, c) of the leaves of wucai. Values represent the mean ± SE (n = 3). Letters indicate significant differences at P < 0.05 according to Duncan’s multiple range tests. Representative data from five independent experiments are shown

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The effect of different temperature stress treatments on membrane lipid oxidation damage

The physiological parameters of the wucai seedlings treated under different temperatures showed different trends. The malondialdehyde content (MDA) indicates the degree of lipid peroxidation in the plant cell membrane. The accumulation of MDA will break the integrity of the membrane and reduce the MSI. Compared with Cont, both LT and HT had a higher MDA content, and the MDA content of HT was obviously higher than that of LT. The MDA contents of LT and HT were 89.04 and 219.14% higher than Cont, respectively (Fig. 2c). The membrane stability index (MSI) showed a downward trend after the two temperature stress treatments, and the degree of decline in HT was significantly greater than that in LT (Fig. 2d). In addition, the accumulation of H2O2 and O2•- in seedlings leads to membrane lipid peroxidation. For the same treatment over 3 d, the H2O2 content and O2•- formation rate of the experimental materials under LT were significantly lower than under HT (Fig. 2a, b).

Fig. 2
figure 2

The effects of different temperature stresses on the H2O2 content (a), O2•- formation rate (b), MDA content (c), MSI (d), Values represent the mean ± SE (n = 3). Letters indicate significant differences at P < 0.05 according to Duncan’s multiple range tests

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Transcriptome profiles

Nine samples were sequenced and mapped to the reference transcriptome, the reference genome for this transcriptome sequencing comparison is the genome of the NCBI database: GCF_000309985.1 (Brapa_1.0), and a total of 62.97 G of clean data were obtained. The effective data volume of each sample was 6.04–8.01 G, the Q30 scores were 94.35–95.17%, and the average GC content was 47.74% (Additional file: Table S1). Screening was conducted based on the expression level of the DEGs in the different groups. There were two different groups in total, and compared with the control, the numbers of DEGs detected under HT-vs-Cont and LT-vs-Cont conditions were 10,702 and 7267, respectively (Fig. 3a). Hierarchical clustering of all of the DEGs was conducted to observe the gene expression patterns and was evaluated by the log10RPKMs of the 2 groups. Among the 7267 DEGs in LT-vs-Cont, 3791 genes were upregulated and 3476 were downregulated. In the LT-vs-Cont group, there were 5120 upregulated genes and 5582 downregulated genes (Fig. 3b, Additional file: Figure S2). These DEGs were divided into three groups: (1) 3650 DEGs that were specific to the LT-vs-Cont group, including 1783 downregulated genes, and 1867 upregulated genes, (2) DEGs that were common to both the LT-vs-Cont and HT-vs-Cont groups, including 3617 common genes, 1693 common downregulated genes, and 1924 common upregulated genes, (3) and 7085 DEGs that were specific to HT-vs-Cont, including 3726 downregulated genes, and 3359 upregulated genes (Fig. 3a, c). To further study the potential mechanism of WS-1 as a cold-resistant vegetable that is adapted to low temperatures.

Fig. 3
figure 3

Differential gene expression in response to temperature stress under low temperature (LT) and high temperature (HT) treatments. a The number of DEGs in the leaves of wucai under LT-vs-Cont and HT-vs-Cont. The value shared by the two ellipses indicates the number of genes that are co-regulated. b Expression of DEGs in HT-vs-Cont, LT-vs-HT, LT-vs-Cont. c Common DEG for both LT-vs-Cont and HT-vs-Cont, including the distribution of DEGs specifically regulated by each. P value < 0.05 and foldChange > 2 or foldChange < 0.5 was set as the threshold for significantly differential expression

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GO and KEGG analysis of the DEGs of LT and HT

GO enrichment analysis was used to further explore the functions of DEGs at different temperatures (Additional file: Figure S3) The results revealed the distribution of the 3605 DEGs in the LT-vs-Cont and 7085 DEGs in the HT-vs-Cont in the three ontology types. The transcriptome analysis sifted GO terms, according to the corresponding the number of differential genes of each term; 10 terms were sorted from large to small. In the HT-vs-Cont, response to salt stress, regulation of transcription, DNA-templated, and response to abscisic acid were the most enriched pathways, whereas in the LT-vs-Cont group, the DEGs were mostly associated with translation, response to salt stress, and response to cold in the biological process category. In the cellular component category, the HT-vs-Cont enriched DEGs were mainly related to nucleus, integral component of membrane, and cytoplasm, whereas in LT-vs-Cont, these included nucleus, chloroplast, and cytosol. In the molecular function category in HT-vs-Cont, ATP binding was the most abundant, followed by metal ion binding, and DNA-binding transcription factor activity, while in LT-vs-Cont, structural constituent of ATP binding, structural constituent of ribosome, and metal ion binding.

The enriched KEGG pathways of the DEGs differed between the different temperature treatments. In LT-vs-Cont, there were 10 pathway annotations that were significantly enriched, there are mainly pathway: ribosome, photosynthesis-antenna proteins, ribosome biogenesis in eukaryotes, pyrimidine metabolism, and purine metabolism (Fig. 4a). In HT-vs-Cont, there were 10 pathway annotations that were significantly enriched, the mainly pathway including photosynthesis, photosynthesis-antenna proteins, glycine, serine, and threonine metabolism, carbon fixation in photosynthetic organisms, and glyoxylate and dicarboxylate metabolism (Fig. 4b).

Fig. 4
figure 4

KEGG enrichment analysis results, with the 20 most enriched KEGG terms shown. High and low P-values are represented by blue and red, respectively. KEGG pathway enrichment analyses of the DEGs in the LT-vs-Cont (a). KEGG pathway enrichment analyses of the DEGs in the HT-vs-Cont (b)

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Effect of temperature stress on photosynthesis pathway analysis

Following low temperature treatment, some genes in the photosynthesis pathway were upregulated. In PSI, subunit III (PsaF) and subunit VI (PsaH) were upregulated. In PSII, thylakoid photoprotective gene (PsbS), Psb H, and Psb 28 were upregulated. Overall, 8 genes were upregulated and 5 genes were downregulated. Following high temperature treatment, some genes in the photosynthesis pathway were downregulated in PSI, including PsaD, PsaE, PsaD, PsaD, in PSII, including PsbO, PsbP, PsbQ, PsbR, PsbS, PsbW, PsbY, Psb27, and Psb28. Overall, there were 4 genes with upregulated expression and 71 genes with downregulated expression (Fig. 5, Additional file: Figure S4, Tables S2, S3).

Fig. 5
figure 5

Photosynthesis-related gene expression in wucai leaves under LT and HT based on the KEGG pathway analysis. Red, green, and blue represent upregulated, downregulated, and nonregulated genes

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The effect of different temperature stress treatments on the Chl content of the wucai seedlings

To gain some insights into the different effects of the different temperature stresses on the growth process of wucai seedlings, we measured the contents of Chl a, Chl b, and total Chl (Fig. 6). We found that temperature stress caused chlorophyll degradation. The Chl a content, Chl b content, and total Chl content of LT and HT were lower than Cont. However, the above indicators were significantly higher under LT than HT.

Fig. 6
figure 6

Effects of photosynthetic pigment contents in wucai leaves under temperature stress. A–C Quantification of the Chl a content (a), Chl b content (b), total Chl content (c). The data are presented as the mean ± SE. Bars with different letters above the columns indicate significant differences (P < 0.05, Duncan’s range test) on a given day of treatment

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The Fv/Fm, Fv/Fo, PIabs, and Vj of the wucai seedlings under a normal growth state exhibited a stable trend over 3 d, with no significant changes observed. The Fv/Fm, Fv/Fo, and PIabs of the wucai seedlings showed a downward trend during the 3 d of low temperature and high temperature treatments and were reduced on the third day of treatment. Compared with before the treatment, Fv/Fm of LT and HT decreased by 3.73 and 10.37%, respectively, and the Fv/Fo dropped by 13.55 and 34.75%, respectively. PIabs decreased by 23.82 and 61.42%, respectively (Fig. 7a, b, c). After the different temperature treatments, Vj gradually increased. It can be seen from that the increase in HT was more significant than that of LT (Fig. 7d). After 3 days of different temperature stress treatment, ABS/RC, DIO/RC, TRO/RC of wucai seedlings all increased, and the increase was more in wucai seedlings after high temperature treatment, but ETO/RC showed a downward trend, and the decrease was more in wucai seedlings after high temperature treatment (Fig. 7e, f, g, h).

Fig. 7
figure 7

The influence of different temperature stresses on Fv/Fm (a), Fv/Fo (b), PIabs (c), Vj (d), ABS/RC(e), DIO/RC(f), TRO/RC(g), and ETO/RC(h). The data are presented as the mean ± SE. Representative data from five independent experiments are shown

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Effects of different temperature stresses on the gas exchange parameters of the wucai seedlings

As shown in the result, different temperature stresses had different effects on the wucai seedlings. The PN, gs, and E of LT and HT were significantly lower than that of Cont. Compared with Cont, sampled treated with LT decreased by 28.20, 44.17, 47.02%, respectively, whereas sampled treated with HT decreased by 46.03, 82.07, and 61.47%, respectively. On the contrary, under temperature stress, the Ci value of the wucai seedlings increased significantly, the effect of HT was higher that the one of LT (Fig. 8).

Fig. 8
figure 8

The influence of different temperature stresses on the photosynthetic rate (PN, A), stomatal conductance (gs, B), transpiration rate (E, C), and intercellular CO2 concentration (Ci, D). The data are presented as the mean ± SE. Bars with different letters above the columns indicate significant differences (P < 0.05, Duncan’s range test) on a given day of treatment

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Effect of temperature stress on photosynthesis-antenna proteins pathway analysis

In the photosynthesis-antenna protein pathway, the expression of DEGs exhibited opposite trends between the different temperature treatments. Most of these DEGs encoded proteins concentrated in light-harvesting chlorophyll protein complex (LHC). There were 28 downregulated genes in HT-vs-Cont and 22 upregulated genes in LT-vs-Cont (Fig. 9, Additional file: Figure S5, Tables S4, S5).

Fig. 9
figure 9

Photosynthesis-antenna proteins-related gene expression in wucai leaves influenced by LT and HT based on the KEGG pathway analysis. Red, green, and blue represent the upregulated, downregulated, and nonregulated genes

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By searching the Brassica rapa genome, 47 members of the BrLhc superfamily were identified and named. The physicochemical properties of the members of the BrLhc superfamily of wucai are shown in the table (Additional file: Table S6). The longest BrLhc protein of wucai contained 496 amino acid residues and the shortest contained 148 residues. The molecular weight (Mw) ranged between 8.43 and 54.93 kDa, and the isoelectric point (pI) ranged between 4.85 and 11.48. the open reading frame (ORF) length was between 231 and 1491, 87.23% of the members were located in chloroplasts, and the others were located in the extracellular space, cytoplasm, nucleus, and plasma membrane.

To better understand the evolutionary relationships and structural diversity of the BrLhc protein, we used MEGA7.0 software to conduct a phylogenetic analysis of the BrLhc protein. The online program MEME Server was used to analyze the conserved motifs of the BrLhc proteins, and the tool TBtools was used to analyze the structure of the BrLhc gene online. Almost all BrLhc genes had a highly conserved exon-intron organization. The five BrLhc genes possessed no introns, and each subfamily contained similar gene structures (Additional file: Figure S6).

The results of the cis-acting elements of the BrLhc superfamily genes showed that the regulatory elements were related to light responsiveness, MYB binding site, abscisic acid responsiveness, salicylic acid responsiveness, defense and stress responsiveness, low-temperature responsiveness, and MYBHv1 binding site (Fig. 10).

Fig. 10
figure 10

Cis-acting elements of the BrLhc superfamily. Colored rectangles represent different cis-acting elements

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Quantitative RT-PCR analysis

To confirm the quality of the transcriptome data, 12 DEGs participating in the photosynthesis-antenna protein pathway, glutathione metabolism, and flavonoid biosynthesis were selected for verification by qRT-PCR analysis (Additional file: Table S7). The results showed that the expression of the randomly selected differential genes was consistent with the transcriptome results (Fig. 11).

Fig. 11
figure 11

The effects of different temperature stress on photosynthesis-related genes in the leaves of wucai. The data are presented as the mean ± SE. Bars with different letters above the columns indicate significant differences (P < 0.05, Duncan’s range test) on a given day of treatment

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Discussion

Wucai is a cold-tolerant vegetable that is not resistant to heat stress. To evaluate the specific temperature stress tolerance mechanism of wucai, we compared seedlings subjected to low-temperature and high-temperature treatments and found that the upregulated DEGs under LT were mainly related to photosynthesis. The results of the previous proteomic analysis of wucai WS-1 showed that the DEPs that respond to high and low temperatures are divided into several metabolites according to GO annotations: Redox homeostasis, photosynthesis, carbohydrate metabolism, heat shock proteins, signal transduction and metabolic processes. Many of these DEPs are classified as photosynthetic pathways, for example: PSBO1 (M4F7V3) PSBP1 (A0A078FRX3) PORC (M4EX79). This is similar to our research results [23].

The growth of wucai under different temperature stress treatments based on physiological parameters

Related studies have shown that high temperature will lead to excessive growth or slow growth, and the relative water content of seedling leaves will also decrease after receiving temperature stress [25,26,27]. The plant height of aconite seedlings increased significantly under high temperature, which indicated that the wucai seedlings were excessive growing and the plants were not strong. The decrease of plant weight was mainly caused by the decrease of plant water content. Compared with the seedlings treated with high temperature, the seedlings treated with low temperature had stronger water retention ability of the leaves. Water is an important part of plant growth and metabolism, RWC show that maintain the situation of the plant body water content [28]. This study showed that high temperature leads to huge loss of moisture in wucai leaves, the main reason may be the high temperature results in the decrease of water absorption. Under high temperature stress, the reduction of RWC in leaves leads to stomatal closure, which leads to a decrease in CO2 utilization, which leads to a decrease in photosynthetic rate [29]. At low temperature, the relative water content of plants tends to decrease, leading to an increase in the concentration of cell fluid, thus improving the cold tolerance of plants. The RWC of plant leaves is an important indicator of plant tissue water status and reflects plant resistance. In this study, LT had a higher RWC than HT (Fig. 1).

Evaluation of the degree of oxidative damage under temperature stress and the mechanism of improved antioxidant capacity

Temperature stress is one of the primary abiotic stresses experienced by plants during growth [30]. Under extreme temperature environments, a large amount of ROS, such as H2O2 and O2.-, is released in the seedlings, leading to membrane lipid peroxidation and increased membrane permeability, protein degradation, and loss of other cellular components [31, 32]. MDA is an important indicator for evaluating the degree of film oxidation, and the accumulation of ROS accelerates the lipid acylation of the cell membrane, increases the content of the toxic substance MDA, and destroys the integrity of the membrane structure [33]. MSI is used as the membrane stability coefficient to evaluate the integrity of the plasma membrane: the higher the MSI value, the better the integrity of the plasma membrane [34].

In this study, compared with the seedlings cultivated at room temperature, seedlings treated with LT or HT were enriched in H2O2, O2.-, and MDA following temperature stress, and the MSI decreased significantly, this is similar to the results of the Chakraborty’s study [35]. By comparing HT and LT, we found that the accumulation of H2O2, O2−, and MDA in the LT environment was significantly lower than that of HT, while MSI was higher in the former. This indicated that temperature stress will result in ROS accumulation in the seedlings and will cause a certain degree of membrane oxidative damage, but the degree of oxidative damage of the membrane lipids of LT was lower than that of HT (Fig. 2).

The effects of different temperature stresses on the photosynthesis pathways in wucai

Photosynthesis is the first process affected by external temperature stress. We evaluated the changes in gas exchange parameters in the seedlings of wucai under different temperature stresses. Photosynthesis is very sensitive and easily affected by high temperature [36, 37], and low temperature will destroy many primary components of the photosynthetic machinery [38]. Under temperature stress, the PN of the LT seedlings was higher than that of the HT seedlings, which indicated that the seedlings were more sensitive and susceptible to damage under high-temperature stress than under low-temperature stress. Temperature stress affects photosynthetic efficiency in two ways: stomatal restriction and non-stomatal restriction [39, 40]. When a decrease of PN and Ci is accompanied by a decrease of Gs, the decrease of PN is mainly due to stomatal restriction. In other cases, the decrease of PN may be caused by non-stomatal factors, which is presumably due to the decrease in mesophyll cells under stress [41]. After 3 d of treatment with the two temperature stresses, gs and E decreased significantly, whereas Ci increased significantly, indicating that the decrease in photosynthesis was caused by non-stomatal limitation. In previous studies, the loss of membrane integrity is related to plant tolerance to temperature. High temperature stress can affect membrane integrity, inhibit electron transfer in PSII and the level of key enzymes in Calvin cycle, and then affect carbon assimilation, resulting in an increase in the proportion of non-stomatal limitation [42, 43]. However, in our study, compared with HT, the MSI of wucai seedlings was higher in LT stress. Under LT conditions, wucai has higher stress resistance due to its more complete electron transport chain and higher activity of key enzymes in the Calvin cycle (Fig. 8).

PSII is the most sensitive component of the photosystem. Understanding PSII has been a key breakthrough in the alleviation of abiotic stress. According to reports, PsbO plays an important role in protecting PSII from light damage and stabilizing the function of the oxygen evolution complex (OEC) [44,45,46,47]. In higher plants, nonphotochemical chlorophyll fluorescence quenching is regulated by PsbS, thereby improving the plant’s own protective mechanism through the dissipation of excess light energy. In Głowacka’s research on PsbS overexpressed transgenic tobacco, it was found that the PsbS gene could reduce stomatal opening, reduce the transpiration rate, reduce water loss, and increase the plant RWC [48]. Fourier-transform infrared differential spectroscopy studies have confirmed that PsbQ interacts with PsbP. PsbQ can compensate for the damaged PsbP and cause a series of conformational changes in the Mn clusters of the water oxidation machinery [49]. Later studies on PsbR mutants of Arabidopsis found that PsbP and PsbQ were stably combined through PsbR. PsbR maintained the structural stability of PSII and enabled PSII to function [50, 51]. From the KEGG pathway analysis, we found that PsbP1 was upregulated in HT, while other PSBPs were downregulated, including PsbO, PsbQ, PsbR, PsbS, PsbW, PsbY, Psb27, and Psb28. In LT, no differential expression was observed in PsbO and PsbP, PsbQ was downregulated, and Psb28 was upregulated. Based on previous studies, we suggest that the down-regulated expression of key PSII genes in the leaves of wucai under high temperature may be an important reason for the decreased PSII activity and limited electron transfer. On the contrary, low-temperature stress has little effect on the expression of key genes in the PSII response center, avoiding the photoinhibition of PSII in the leaves (Fig. 5).

Plant photosynthesis can be effectively measured using chlorophyll fluorescence. It can be used to further elucidate photosynthetic performance by reflecting the absorption, transmission, dissipation, and distribution of leaf light energy in the process of photosynthesis. Therefore, chlorophyll fluorescence analysis has also been widely used in the study of plant stress tolerance. The chlorophyll fluorescence parameter Fv/Fm characterizes the conversion efficiency of light energy in the PSII reaction center. The results of this study show that the conversion efficiency of light energy was reduced in wucai under different temperature stresses, and LT had a higher Fv/Fm. Previous studies on Arabidopsis and other plants have also found that Fv/Fm is highly correlated with low temperature tolerance [52,53,54]. Similarly, Fv/Fo is also an important chlorophyll fluorescence parameter that reflects the activity of PSII and exhibits different response levels under different stresses. Our research showed that compared with the high temperature treatment, the Fv/Fo of the seedlings decreased more slowly in the low temperature environment. The change in the relative variable fluorescence Vj reflects the electron transfer from QA to QB on the electron acceptor side of PSII. The change in Vj further indicates that the main reason for the decrease of PSII photochemical activity in the leaves of wucai under temperature stress was the PSII receptor. This is consistent with the results of previous research on Medicago sativa [55]. PIabs reflects the capture of light energy in the PSII reaction center and the photosynthetic electron transfer ability between the two photosystems. The results showed that the PIabs of wucai was reduced after temperature stress but was maintained at a higher level in LT. Based on the above, we speculate that the light conversion and performance of the wucai seedlings are affected by temperature stress, but they can maintain a better state in a low temperature environment, which is consistent with the transcriptome results. After absorbing light energy, one part of the light energy is transferred along the electron transport chain, and the other part is dissipated in the form of thermal energy. This protective mechanism prevents the reaction center from accumulating too much light energy and being inactivated or damaged [56]. ABS/RC represents the light energy absorbed per reaction center, TRO/RC represents the energy captured for QA reduction per reaction center, DIO/RC represents the energy dissipated per reaction center [57], and ETO/RC represents the energy used for electron transfer unit reaction center. After temperature stress, ABS/RC, DIO/RC, TRO/RC increased, while ETO/RC decreased, indicating that temperature stress inhibited electron transfer of PSII more than PSII, especially electron transfer from QA to QB. Temperature stress impedes the electron transfer of PSII, reduces the activity of reaction centers, and even leads to the inactivation of some reaction centers. As can be seen from our results, compared with the LT treatment, the ABS/RC, DIO/RC, TRO/RC of the HT treatment increased more, while the ETO/RC of the LT treatment decreased to a smaller extent. These results indicated that wucai had stronger reaction center activity under LT stress (Fig. 7).

The reaction center of PSI and PSII is the main location where ROS is produced. As an important signaling molecule, ROS can also directly cause cell damage by rapidly oxidizing cellular components, including lipids. A stable photosynthetic system is conducive to maintaining the dynamic balance of ROS in plants and the normal growth of plants under adversity. This is consistent with the results of the ROS-related indicators in this study.

Analysis of the influence of different temperature stresses on the photosynthetic antenna protein pathway

BrLhc cis-acting elements were found to be involved in regulatory elements related to light responsiveness, MYB binding site, abscisic acid responsiveness, salicylic acid responsiveness, severe and stress responsiveness, low temperature responsiveness, and MYBHv1 binding site. The BrLhc superfamily represents a class of antennae proteins, and BrLhc superfamily members not only participate in the process of light collection and transportation, but also participate in the regulation and distribution of excitation energy between PSI and PSII, the maintenance of thylakoid membrane structure, photoprotection, and the response to various stresses [58,59,60]. MYB TFs participate in the regulation of the cold stress response in rice and apples, and it has been indicated that MYB has a positive regulatory function on cold tolerance [7, 61, 62]. Abscisic acid plays an important role in maintaining the plant water balance and adaptation to adversity [63]. Previous studies on wheat, Arabidopsis, and potato have confirmed this [64, 65]. Zhang found that exogenous abscisic acid treatment of wheat enhanced the resistance of wheat in spring [66]. In previous studies on wheat, it was found that spraying exogenous salicylic acid enhanced the cold tolerance of plants by increasing the antioxidant capacity and expression of cold-responsive genes [67]. Studies in various plants have shown that Lhc gene expression is not only induced by light stress, but also by abiotic stress. For example, Capel and Jarillo found that low temperature treatment resulted in a rapid increase in the expression of Lhcb1, 3 at transcriptional level in Arabidopsis [68]. In this study, after low temperature treatment, all BrLhc genes in the photosynthetic antenna protein pathway were all up-regulated. Therefore, we speculated that the BrLhc genes was induced by low temperature, which is consistent with the results of previous studies. Both plants and algae can dissipate the excited state of chlorophyll into heat through a mechanism involving the Lhc protein that binds to lutein. According to reports, in addition to light capture, Lhc protein also participates in photoprotection through its lutein ligands. These lutein ligands are active in quenching chlorophyll leaflets and triplets and scavenging ROS [69]. Some recent studies have shown that photoinhibition take place in PSI at low temperatures and in the case of unbalanced linear electron transport chains [70,71,72,73]. PSI photoprotection is thought to be mainly mediated by oxygen scavenging enzymes [74], although recent evidence suggests that PSI antenna protein may play a related role in photoprotection against excess energy [75, 76], which can be regulated by carotenoids in the LHCI complex [77]. It seems logical to speculate that low temperature induces the high expression of BrLhc genes and participates in photoprotection, thereby improving the cold tolerance of wucai.

Conclusion

This study compared the effects of different temperature stresses on the physiological characteristics of wucai seedlings. As a cold-resistant vegetable, wucai grew better under LT than under HT. The total soluble sugars, proline, and RWC were higher under LT than HT, indicating that wucai has better osmotic adjustment ability to resist temperature stress at a low temperature. We focused on the transcripts and pathways that LT specifically affects, specifically photosynthesis. By comparing the expression of DEGs in associated pathways and determining the related physiological indicators, we found that the photosynthetic performance of samples treated with LT was better than that of samples treated with HT. We speculate that the seedlings of wucai respond particularly to low temperature signals to stimulate the expression of genes in the photosynthesis pathway, as photosynthesis is an important plant biological process that provides energy for all life processes. In higher plants, the light-harvesting chlorophyll a/b binding (Lhc) protein plays a role in multiple processes that are essential for plant growth, development, and response to abiotic stress. BrLhc gene expression was upregulated under cold stress, which in turn affected the synthesis and metabolism of physiological and biochemical substances. The photosynthetic pathway can impact on the antioxidant capacity of plants. Under low temperature, wucai can improve its antioxidant capacity and alleviate the damage caused by stress. The regulation of the transcriptome confirms the unique protective mechanism of wucai under LT stress. The DEGs identified in this study can be used as targets for further verification and research to elucidate the unique temperature tolerance mechanism of wucai at the molecular level.

Methods

Plant materials, growth conditions, and treatments

‘WS-1’, a variety of non-heading Chinese cabbage with curled leaves, was developed by multigeneration self-pollination at Anhui Agricultural University. The seedlings were kept in a growth chamber at 25 ± 1 °C/18 ± 1 °C (day/night) with a 14/10 h light/dark photoperiod and approximately 320 μmol photons m− 2 s− 1. The seedlings were randomly divided into three groups once they had grown 4–5 true leaves. Each group was subjected to control (Cont, 25 ± 1 °C/18 ± 1 °C), low temperature (LT, 8 ± 1 °C/3 ± 1 °C), or high temperature (HT, 40 ± 1 °C/30 ± 1 °C) treatments. The experiment was repeated three times. All leaves samples were collected at the same point at 8:30 am after 72 h of treatment and immediately stored at − 80 °C for physiological analysis and RNA-Seq.

Content of chlorophyll

The determination of Chl content was based on the method of Strain and Svec (1966) [78], with some modifications. Fresh leaf samples (0.2 g) were weighed and immersed in 25 mL extract solution containing acetone, ethanol, and water (volume ratio of 4.5: 4.5: 1) and treated in the dark for 24 h. The absorbance of the supernatant was then measured at 649 and 665 nm. The contents of Chl a, Chl b, and total Chl were calculated as follows:

$$ {\displaystyle \begin{array}{c}{\mathrm{C}}_{\mathrm{C}\mathrm{hl}\ \mathrm{a}}=13.95{\mathrm{A}}_{665}-6.88{\mathrm{A}}_{649},\\ {}{\mathrm{C}}_{\mathrm{C}\mathrm{hl}\ \mathrm{b}}=24.96{\mathrm{A}}_{649}-7.32{\mathrm{A}}_{665},\\ {}\mathrm{Total}\ \mathrm{Chl}=\mathrm{Chl}\ \mathrm{a}+\mathrm{Chl}\ \mathrm{b}.\end{array}} $$

Measurement of Chl a fluorescence transience

Chlorophyll-a fluorescence emissions from the leaves were measured in vivo using a continuous-excitation fluorometer pocket plant efficiency analyzer (PEA, Hansatech, UK). Prior to measurement, the treated leaves were clamped using a leaf clamp (Hansatech) and dark-treated for 30 min. A total of 100,000 consecutive fluorescence trace measurements can be recorded every second, and the OJIP fluorescence induction curve of Chl can be completely measured in 1 s by a Poket PEA. The saturated red light emitted by the plant efficiency analyzer is 3000μmol•m− 2•s− 1 when measuring the fluorescence parameters of chlorophyll. Data were sampled at intervals of 10 μs in the first 300 μs. Fluorescence intensity was measured at 300 μs (F300μs), 2 ms (J point, FJ) and 30 ms (I point, Fi) 0.3–2 s (P point, FP). Chlorophyll a fluorescence transience was analyzed using the JIP-test formulae. The following data were also obtained: the initial fluorescence (Fo), maximum fluorescence (Fm), PSII potential photochemical activity (Fv/Fo), PSII maximum photochemical efficiency (Fv/Fm) at the inflection point (J), and relative variable fluorescence (Vj), and the performance index (PI) of absorption was calculated as PI (abs) = (RC/ABS) • [φPo/(1–φPo)] [ψo/(1–ψo)] [79]. The specific activity parameters of reaction center per unit of PSII, including ABS/RC, TRO/RC, ETO/RC, DIO/RC on the photosynthetic electron transport chain were directly provided by the instrument.

Sample preparation, RNA extraction, and transcriptome sequencing

Total RNA was extracted from the Cont, HT, and LT leaf samples using a mirVana™ miRNA Isolation Kit Ambion-1561 according to the manufacturer’s instructions. RNA integrity was assessed with an Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA). The mRNA was concentrated by Oligo (dT) attached magnetic beads. The mRNA was then broken into multiple fragments and used as a template to synthesize cDNA. The reference genome for this transcriptome sequencing comparison is the genome of the NCBI database: GCF_000309985.1 (Brapa_1.0). The purified cDNA was modified and selected for PCR amplification. Nine gene expression libraries were created and named Cont-1, Cont-2, Cont-3, HT-1, HT-2, HT-3, LT-1, LT-2, and LT-3 and sequenced by an Illumina HiSeqTM 2500, resulting in the generation of 125 bp or 150 bp double-ended reads.

RNA-Seq, differential gene expression, and functional annotation

The transcriptome sequencing and analysis were completed by OE biotech Co., Ltd. (Shanghai, China). Raw reads were processed by Trimmomatic [80]. The reads containing ploy-N and the low quality reads were removed and the clean reads were obtained. Then the clean reads were mapped to reference genome by hisat2 [81]. Differential expression analysis was implemented by the DESeq R package to distinguish the DEGs between all treatment groups [82]. Significance was assessed used a negative binomial distribution test. The identification of false positives during the expression analysis of transcriptome sequencing is a major issue. Therefore, it is important to use the false discovery rate (FDR) error control method to perform multiple hypothesis test corrections on the P-value. The conditions for screening DEGs were P < 0.05 and log2|(foldchange)| > 1.

Enrichment analysis of DEGs was performed using Blast2GO software (Biobam, Valencia, Spain). A P-value of < 0.05 was considered as a condition of significant enrichment, and the algorithm of P-value determination was based on that of Pu et al. [83]. DEG enrichment in a Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway was assessed by KOBAS software [84]. The basis on which the pathway was judged as significantly differentially expressed was a P-value < 0.05. Enriched KEGG pathways were ordered based on their P-value.

Measurement of growth indicators

Growth parameter included plant height, single plant weight. Ten seedlings were randomly selected from each treatment group for measurement. Among them, plant height was measured by a ruler. Before measuring the weight of a single plant, the seedlings were washed and dried with deionized water first, and then weighed with an electronic balance. The relative water content (RWC) as a phenotypic parameter was determined according to Yuan et al. [85] and was calculated with the formula: RWC (%) = (fresh weight–dry weight)/ (turgor weight–dry weight) × 100%. After the shoots were washed with distilled water, their fresh weights were measured. The shoots were then floated on deionized water for 24 h in the dark, following which the turgor weight was recorded after wiping off excess water. The leaves were dried at 70 °C until their weights remained constant and were then used to determine the sample dry weight.

Malondialdehyde (MDA), membrane stability index (MSI)

The MDA was measured in the wucai leaves according to Hu et al. [86]. The MDA calculation formula was as follows:

$$ \mathrm{MDA}=6.45\cdot \left({\mathrm{A}}_{532}-{\mathrm{A}}_{600}\right)-0.56\cdot {\mathrm{A}}_{450}\left(\mu \mathrm{mol}\cdot {\mathrm{L}}^{-1}\right). $$

The method of Abdelkrim et al. [87], was used to calculate the MSI as follows:

$$ \mathrm{MSI}=1-\left[\left(\mathrm{C}1\div \mathrm{C}2\right)\times 100\%\right]. $$

Photosynthetic parameters

The PN, stomatal conductance (gs), intercellular CO2 concentration (Ci), transpiration rate (E), and various chlorophyll fluorescence parameters were simultaneously measured with a portable photosynthesis system (LI-6400, LI-COR Inc., Lincoln, NE, USA). The daily measurements were conducted between ZT2 (2 h after dawn) and ZT4 (4 h after dawn), and the third functional leaf samples of five biological replicate plants were tested. The measurement conditions were as follows: temperature, the measured temperature was the same as the treatment temperature of Cont, HT and LT [88]; RH, 70%; external CO2 concentration, 380 ± ws10 mol mol− 1; and light intensity, 1000 μmol photon m− 2 s− 1 [89].

Bioinformatics analysis of the light-harvesting complex (LHC) family

To obtain the BrLhc family genes in wucai, the 34 known LHC genes published in Arabidopsis thaliana were downloaded from the TAIR genome database (https://www.arabidopsis.org/) and used as queries in a BLASTP search. The online website MEME (http://meme-suite.org/tools/meme) was used to predict the conserved motifs of the BrLhc protein sequence and construct a schematic diagram of the conserved motifs of the protein [90]. The structure of genes was visualized according to genome annotation files with TBtools [91]. MEGA7.0 software was used to compare the 47 BrLhc protein sequences of wucai, and the neighbor-joining method was used to construct a phylogenetic tree to analyze the evolutionary relationships between the BrLhcs of wucai [92]. The 2000 bp region upstream of the BrLhc genes was used as the promoter sequence by TBtools, and these sequences were submitted to Plant CARE (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/) to predict the BrLhc promoter region cis-acting elements [93]. TBtools was used to visualize the promoter position.

Gene expression

Total RNA was extracted using the RNA Extraction Kit (TaKaRa BIO, Japan) and then reverse transcribed into cDNA. Twelve transcripts were selected to validate the RNA-Seq analysis, and Primer Software version 5.0 was used to design gene-specific primers. Actin (ACT) was used as a reference gene to normalize the data. Please refer to Primer Table in this chapter (Suppl. Table S7). The quantitative real-time (qRT) PCR was performed using a Time System (Bio-Rad, California, USA) according to the manufacturer’s instructions. The gene expression data were analyzed using the 2-ΔΔCt relative quantitative method in Excel (Microsoft Corp., Albuquerque, NM, USA).

Statistical analysis

Data were expressed as the mean ± SD with three biological replicates. SPSS 22.0 (US SPSS Institute, Inc.) was used to analyze the differences, and using Duncan’s multiple range testat the p < 0.05 level of significance. The relational figures were drawn using GraphPad Prism v6.0 (http://www.graphpad.com/scientific-software/prism/).

Availability of data and materials

The raw RNA-Seq data used in this study have been deposited in the Nation Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) database under the accession number PRJNA694542 (https://dataview.ncbi.nlm.nih.gov/object/PRJNA694542?reviewer=s0hddac5tgtoa3b9cfhhu7gr7c).

Abbreviations

LT:

Low temperature

HT:

High temperature

Cont:

Control

RWC:

Relative water content

MDA:

Malondialdehyde

MSI:

Membrane stability index

Chl:

Chlorophyll

DEGs:

Differentially expressed genes

GO:

Gene Ontology

KEGG:

Kyoto Encyclopedia of Genes and Genomes

qRT-PCR:

Quantitative real-time polymerase chain reaction

LHC:

Light-harvesting chlorophyll protein complex

PSII:

Photosystem II

PSI:

Photosystem I

Fv/Fo:

Efficiency of electron donation to PSII

Fv/Fm:

Maximum quantum yield of PSII

ABS/RC:

Absorption per reaction center at PSII/Ratio of active reaction centers in PSII

TRo/RC:

Trapped energy flux per reaction center (t = 0)

ETo/RC:

Electron transport flux per reaction center (t = 0)

DIo/RC:

Dissipation energy flux per reaction center (t = 0)

PIabs:

Performance index on absorption basis

Vj :

The relative fluorescence intensity of point J

References

  1. Wahid A, Gelani S, Ashraf M, Foolad MR. Heat tolerance in plants: an overview. Environ Exp Bot. 2007;61(3):199–223. https://doi.org/10.1016/j.envexpbot.2007.05.011.

    Article  Google Scholar 

  2. Huang GT, Ma SL, Bai LP, Zhang L, Ma H, Jia P, et al. Signal transduction during cold, salt, and drought stresses in plants. Mol Biol Rep. 2012;39(2):969–87. https://doi.org/10.1007/s11033-011-0823-1.

    Article  CAS  PubMed  Google Scholar 

  3. Kim YS, Lee M, Lee JH, Lee HJ, Park CM. The unified ICE–CBF pathway provides a transcriptional feedback control of freezing tolerance during cold acclimation in Arabidopsis. Plant Mol Biol. 2015;89(1–2):187–201. https://doi.org/10.1007/s11103-015-0365-3.

    Article  CAS  PubMed  Google Scholar 

  4. Corpas FJ, Leterrier M, Valderrama R, Airaki M, Chaki M, Palma JM, et al. Nitric oxide imbalance provokes a nitrosative response in plants under abiotic stress. Plant Sci. 2011;181(5):604–11. https://doi.org/10.1016/j.plantsci.2011.04.005.

    Article  CAS  PubMed  Google Scholar 

  5. Baudouin E. The language of nitric oxide signalling. Plant Biol. 2011;13(2):233–42. https://doi.org/10.1111/j.1438-8677.2010.00403.x.

    Article  CAS  PubMed  Google Scholar 

  6. Groβ F, Durner JR, Gaupels F. Nitric oxide, antioxidants and prooxidants in plant defence responses. Front Plant Sci. 2013;4(article 419):419.

    Google Scholar 

  7. Chinnusamy V, Zhu J, Zhu JK. Cold stress regulation of gene expression in plants. Trends Plant Sci. 2007;12(10):444–51. https://doi.org/10.1016/j.tplants.2007.07.002.

    Article  CAS  PubMed  Google Scholar 

  8. Zhu JK. Abiotic stress signaling and responses in plants. Cell. 2016;167(2):313–24. https://doi.org/10.1016/j.cell.2016.08.029.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Sangwan V, Orvar BL, Beyerly J, Hirt H, Dhindsa RS. Opposite changes in membrane fluidity mimic cold and heat stress activation of distinct plant MAP kinase pathways. Plant J. 2010;31(5):629–38. https://doi.org/10.1046/j.1365-313X.2002.01384.x.

    Article  Google Scholar 

  10. Scharf KD, Berberich T, Ebersberger I, Nover L. The plant heat stress transcription factor (Hsf) family: structure, function and evolution. Biochim Biophys Acta. 2012;1819(2):104–19. https://doi.org/10.1016/j.bbagrm.2011.10.002.

    Article  CAS  PubMed  Google Scholar 

  11. Bray EA, Bailey-serres J, Weretilnyk E. Response to abiotic stress. Biochem Mol Biol Plants. 2000;22:1158–203.

  12. Ahmad P, Rasool S. Emerging technologies and management of crop stress tolerance. Emerg Technol Manage Crop Stress Tolerance. 2014;21(4):700–9.

  13. Hu RS, Zhu XX, Xiang SP, Zhan YG, Zhu MD, Yin HQ, et al. Comparative transcriptome analysis revealed the genotype specific cold response mechanism in tobacco. Biochem Biophys Res Commun. 2016;469(3):535–41. https://doi.org/10.1016/j.bbrc.2015.12.040.

    Article  CAS  PubMed  Google Scholar 

  14. Li L, Peng H, Tan S, Zhou J, Chen L. Effects of early cold stress on gene expression in Chlamydomonas reinhardtii. Genomics. 2020;112(2):1128–38. https://doi.org/10.1016/j.ygeno.2019.06.027.

    Article  CAS  PubMed  Google Scholar 

  15. Wang X, Yan B, Shi M, Zhou W, Zekria D, Wang H, et al. Overexpression of a Brassica campestris HSP70 in tobacco confers enhanced tolerance to heat stress. Protoplasma. 2016;253(3):637–45. https://doi.org/10.1007/s00709-015-0867-5.

    Article  CAS  PubMed  Google Scholar 

  16. Park H, Jung W, Lee S, Song J, Kwon SY, Kim HR, et al. Use of heat stress responsive gene expression levels for early selection of heat tolerant cabbage (Brassica oleracea L.). Int J Mol Sci. 2013;14(6). https://doi.org/10.3390/ijms140611871.

  17. Doherty CJ, Van Buskirk HA, Myers SJ, Thomashow MF. Roles for Arabidopsis CAMTA transcription factors in cold-regulated gene expression and freezing tolerance. Plant Cell. 2009;21(3):972–84. https://doi.org/10.1105/tpc.108.063958.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Chinnusamy V, Ohta M, Kanrar S, Lee BH, Hong X, Agarwal M, et al. ICE1: a regulator of cold-induced transcriptome and freezing tolerance in Arabidopsis. Genes Dev. 2003;17(8):1043–54. https://doi.org/10.1101/gad.1077503.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Toledo-Ortiz G, Huq E, Quail PH. The Arabidopsis basic/helix-loop-helix transcription factor family. Plant Cell. 2003;15(8):1749–70. https://doi.org/10.1105/tpc.013839.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Zarka DG, Vogel JT, Cook D, Thomashow MF. Cold induction of Arabidopsis CBF genes involves multiple ICE (inducer of CBF expression) promoter elements and a cold-regulatory circuit that is desensitized by low temperature. Plant Physiol. 2003;133(2):910–8. https://doi.org/10.1104/pp.103.027169.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Rangan P, Furtado A, Henry R. Transcriptome profiling of wheat genotypes under heat stress during grain-filling. J Cereal Sci. 2019;91:102895. https://doi.org/10.1016/j.jcs.2019.102895.

    Article  CAS  Google Scholar 

  22. Song X, Liu G, Huang Z, Duan W, Tan H, Li Y, et al. Temperature expression patterns of genes and their coexpression with LncRNAs revealed by RNA-Seq in non-heading Chinese cabbage. BMC Genomics. 2016;17(1):297. https://doi.org/10.1186/s12864-016-2625-2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Yuan L, Wang J, Xie S, Zhao M, Wang C. Comparative Proteomics Indicates That Redox Homeostasis Is Involved in High- and Low-Temperature Stress Tolerance in a Novel Wucai (Brassica campestris L.) Genotype. Int J Mol Sci. 2019;20(15):3760.

    Article  CAS  PubMed Central  Google Scholar 

  24. Yuan L, Liu S, Zhu S, Chen G, Liu F, Zou M, et al. Comparative response of two wucai (Brassica campestris L.) genotypes to heat stress on antioxidative system and cell ultrastructure in root. Acta Physiologiae Plant. 2016;38(9):223.

    Article  Google Scholar 

  25. René GH, Roger O, Alfonso LS, Azucena C, Marcel Q. Understanding the physiological responses of a tropical crop (capsicum chinense jacq.) at high temperature. Plos One. 2014;9(11):e111402.

  26. Nayyar H, Kaur R, Kaur S. Singh R: y-Aminobutyric acid (GABA) imparts partial protection from heat stress injury to rice seedlings by improving leaf turgor and upregulating osmoprotectants and antioxidants. J Plant Growth Regulaion. 2014;33(2):408–19. https://doi.org/10.1007/s00344-013-9389-6.

    Article  CAS  Google Scholar 

  27. Siddiqui MH, Al-Khaishany MY, AI-Qutami MA, et al. Morphological and physiological characterization of different genotypes offaba bean under heat stress. Saudi J Biol Sci. 2015;22(5):656–63. https://doi.org/10.1016/j.sjbs.2015.06.002.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Bañon S, Fernandez JA, Franco JA, Torrecillas A, Alarcón JJ, Sánchez-Blanco MJ. Effects of waterstress and night temperature preconditioning on water relations and morphological and anatomical changes of Lotus creticus plants. Sci Hortic. 2004;101(3):333–42. https://doi.org/10.1016/j.scienta.2003.11.007.

    Article  Google Scholar 

  29. Al-Busaidi A, Ahmed M, Chikara J. The impact of heat and water stress conditions on the growth of the biofuel plant Jatropha curca. Int J Environ Stud. 2012;69(2):273–88. https://doi.org/10.1080/00207233.2012.663204.

    Article  CAS  Google Scholar 

  30. Prasad SM, Dwivedi R, Zeeshan M. Growth, photosynthetic electron transport, and antioxidant responses of young soybean seedlings to simultaneous exposure of nickel and UV-B stress. Photosynthetica. 2005;43(2):177–85.

  31. Vicente M, Manuel NC, Maria LD, Reyes R, Teresa M, Francisco GS, et al. Tolerance to stress combination in tomato plants: new insights in the protective role of melatonin. Molecules. 2018;23(3):535. https://doi.org/10.3390/molecules23030535.

    Article  CAS  Google Scholar 

  32. Petrov V, Hille J, Mueller-Roeber B, Gechev TS. ROS-mediated abiotic stress-induced programmed cell death in plants. Front Plant Sci. 2015;6(69):69. https://doi.org/10.3389/fpls.2015.00069.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Liang D, Shen Y, Ni Z, Wang Q, Lei Z, Xu N, et al. Exogenous melatonin application delays senescence of kiwifruit leaves by regulating the antioxidant capacity and biosynthesis of flavonoids. Front Plant Sci. 2018;9. https://doi.org/10.3389/fpls.2018.00426.

  34. Sairam RK, Srivastava GC, Agarwal S, Meena RC. Differences in antioxidant activity in response to salinity stress in tolerant and susceptible wheat genotypes. Biol Plant. 2005;49(1):85–91. https://doi.org/10.1007/s10535-005-5091-2.

    Article  CAS  Google Scholar 

  35. Chakraborty N, Basak J. Exogenous application of methyl jasmonate induces defense response and develops tolerance against mungbean yellow mosaic India virus in Vigna mungo. Funct Plant Biol. 2018;46:A-M.

  36. Greer DH, Weedon MM. Modelling photosynthetic responses to temperature of grapevine (Vitis vinifera cv. Semillon) leaves on vines grown in a hot climate. Plant Cell Environ. 2012;35(6):1050–64.

  37. Tan W, Meng QW, Brestic M, Olsovska K, Yang X. Photosynthesis is improved by exogenous calcium in heat-stressed tobacco plants. J Plant Physiol. 2011;168(17):2063–71. https://doi.org/10.1016/j.jplph.2011.06.009.

    Article  CAS  PubMed  Google Scholar 

  38. Allen DJ, Ort DR. Impacts of chilling temperatures on photosynthesis in warm-climate plants. Trends Plant Sci. 2001;6(1):36–42. https://doi.org/10.1016/S1360-1385(00)01808-2.

    Article  CAS  PubMed  Google Scholar 

  39. Meloni DA, Oliva MA, Martinez CA, Cambraia J. Photosynthesis and activity of superoxide dismutase, peroxidase and glutathione reductase in cotton under salt stress. Environ Exp Bot. 2003;49(1):69–76. https://doi.org/10.1016/S0098-8472(02)00058-8.

    Article  CAS  Google Scholar 

  40. Mittal S, Kumari N, Sharma VJPP. Biochemistry: differential response of salt stress on Brassica juncea: photosynthetic performance, pigment, proline, D1 and antioxidant enzymes. Plant Physiol Biochem. 2012;54(54):17–26. https://doi.org/10.1016/j.plaphy.2012.02.003.

    Article  CAS  PubMed  Google Scholar 

  41. Zhang ZW, Wu P, Zhang WB, Yang ZF, Liu HY, Ahammed GJ, et al. Calcium is involved in exogenous NO-induced enhancement of photosynthesis in cucumber (Cucumis sativus L.) seedlings under low temperature. Sci Hortic. 2020;261:261. https://doi.org/10.1016/j.scienta.2019.108953.

    Article  CAS  Google Scholar 

  42. Daymi C, Pedr R, et al. High temperature effects on photosynthetic activity of two tomato cultivars with different heat susceptibility. J Plant Physiol. 2005;162(3):281–9. https://doi.org/10.1016/j.jplph.2004.07.014.

    Article  CAS  Google Scholar 

  43. Bertamini M, Zulini L, Muthuchelian K, Nedunchezhian N. Low night temperature effects on photosynthetic performance on two grapevine genotypes. Biol Plant. 2007;51(2):381–5. https://doi.org/10.1007/s10535-007-0080-2.

    Article  CAS  Google Scholar 

  44. Pérez-Bueno ML, Barón M, I., Photosynthetica G-LJ. PsbO, PsbP, and PsbQ of photosystem II are encoded by gene families in Nicotiana benthamiana. Structure and functionality of their isoforms. Photosynthetica. 2011;49(4):573–80.

    Article  Google Scholar 

  45. Roose JL, Frankel LK, Mummadisetti MP, Terry. The extrinsic proteins of photosystem II: update. Planta. 2016;243(4):889–908. https://doi.org/10.1007/s00425-015-2462-6.

    Article  CAS  PubMed  Google Scholar 

  46. Gururani MA, Upadhyaya CP, Strasser RJ, Woong YJ, Park SWJPP, Biochemistry. Physiological and biochemical responses of transgenic potato plants with altered expression of PSII manganese stabilizing protein. Plant Physiol Biochem. 2012;58:182–94. https://doi.org/10.1016/j.plaphy.2012.07.003.

    Article  CAS  PubMed  Google Scholar 

  47. Gururani MA, Upadhyaya CP, Strasser RJ, Yu JW, Park SW. Evaluation of abiotic stress tolerance in transgenic potato plants with reduced expression of PSII manganese stabilizing protein. Plant Sci. 2013;198(1):7–16. https://doi.org/10.1016/j.plantsci.2012.09.014.

    Article  CAS  PubMed  Google Scholar 

  48. GÅ‚owacka K, Kromdijk J, Kucera K, Xie J, Cavanagh AP, Leonelli L, et al. Photosystem II subunit S overexpression increases the efficiency of water use in a field-grown crop. Nat Commun. 2018;9(1):868. https://doi.org/10.1038/s41467-018-03231-x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Kakiuchi S, Uno C, Ido K, Nishimura T, Noguchi T, Ifuku K, et al. The PsbQ protein stabilizes the functional binding of the PsbP protein to photosystem II in higher plants. Biochim Biophys Acta Bioenerg. 2012;1817(8):1346–51. https://doi.org/10.1016/j.bbabio.2012.01.009.

    Article  CAS  Google Scholar 

  50. Suorsa M, Sirpi S, Allahverdiyeva Y, Paakkarinen V, Aro EM. PsbR, a missing link in the assembly of the oxygen-evolving complex of plant photosystem II. J Biol Chem. 2006;281(1):145–50. https://doi.org/10.1074/jbc.M510600200.

    Article  CAS  PubMed  Google Scholar 

  51. Allahverdiyeva Y, Mamedov F, Suorsa M, Styring SR, Vass I, Aro EM. Insights into the function of PsbR protein in Arabidopsis thaliana. Biochim Biophys Acta Bioenerg. 2007;1767(6):677–85. https://doi.org/10.1016/j.bbabio.2007.01.011.

    Article  CAS  Google Scholar 

  52. Artus NN, Uemura M, Steponkus PL, Gilmour SJ, Lin C, Thomashow MF. Constitutive expression of the cold-regulated Arabidopsis thaliana COR15a gene affects both chloroplast and protoplast freezingtolerance. Proc Natl Acad Sci U S A. 1996;93(23):13404–9. https://doi.org/10.1073/pnas.93.23.13404.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Rizza F, Pagani D, Stanca AM, Cattivelli L. Use of chlorophyll fluorescence to evaluate the cold acclimation and freezing tolerance of winter and spring oats. Plant Breed. 2001;120(5):389–96.

    Article  Google Scholar 

  54. Peguero-Pina JJ, Morales F, Gil-Pelegrín E. Frost damage in Pinus sylvestris L. stems assessed by chlorophyll fluorescence in cortical bark chlorenchyma. Ann For Sci. 2008;65(8):813. https://doi.org/10.1051/forest:2008068.

    Article  CAS  Google Scholar 

  55. Zhang HH, Xu N, Sui X, Zhong HX, Sun GY. Biology: photosystem II function response to drought stress in leaves of two alfalfa (Medicago sativa) varieties. Int J Agric. 2018;20(5):1012–20.

    CAS  Google Scholar 

  56. Sun S, Zhang LT, Gao HY, Shu HR, Wang LP. Responses of primary photochemical reactions in apple fruit peel to the changes of incident PFD and air temperature in sunny days. Ying Yong Sheng Tai Xue Bao. 2009;20(10):2431–6.

    CAS  PubMed  Google Scholar 

  57. Akhter MS, Noreen S, Mahmood S, et al. Influence of salinity stress on PSII in barley (Hordeum vulgare L.) genotypes, probed by chlorophyll-a fluorescence. J King Saud Univ Sci. 2021;33(1):101239.

    Article  Google Scholar 

  58. Pan X, Li M, Wan T, Wang L, Jia C, Hou Z, et al. Structural insights into energy regulation of light-harvesting complex CP29 from spinach. Nat Struct Mol Biol. 2011;18(3):309–15. https://doi.org/10.1038/nsmb.2008.

    Article  CAS  PubMed  Google Scholar 

  59. Fristedt R, Herdean A, Blaby-Haas CE, Mamedov F, Merchant SS, Last RL, et al. PHOTOSYSTEM II PROTEIN33, a PROTEIN conserved in the plastid lineage, is associated with the chloroplast thylakoid membrane and provides stability to photosystem II supercomplexes in Arabidopsis. Plant Physiol. 2015;167(2):481–92.

    Article  CAS  PubMed  Google Scholar 

  60. Myouga F, Takahashi K, Tanaka R, Nagata N, Shinozaki K. Stable accumulation of photosystem II requires ONE-HELIX PROTEIN1 (OHP1) of the light harvesting-like family. Plant Physiol. 2018;176(3):01782.02017. https://doi.org/10.1104/pp.17.01782.

    Article  CAS  Google Scholar 

  61. Vannini C, Locatelli F, Bracale M, Magnani E, Marsoni M, Osnato M, et al. I. C: overexpression of the rice Osmyb4 gene increases chilling and freezing tolerance of Arabidopsis thaliana plants. Plant J. 2010;37(1):115–27. https://doi.org/10.1046/j.1365-313X.2003.01938.x.

    Article  CAS  Google Scholar 

  62. Wu R, Wang Y, Wu T, Xu X, Han Z. MdMYB4, an R2R3-type MYB transcription factor, plays a crucial role in cold and salt stress in apple Calli. J Am Soc Hortic Sci. 2017;142(3):209–16. https://doi.org/10.21273/JASHS04030-17.

    Article  CAS  Google Scholar 

  63. Chen THH, Gusta LV. Abscisic acid-induced freezing resistance in cultured plant cells. Plant Physiol. 1983;73(1):71–5. https://doi.org/10.1104/pp.73.1.71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Cheng WH. A unique short-chain dehydrogenase/Reductase in Arabidopsis glucose signaling and Abscisic acid biosynthesis and functions. Plant Cell. 2002;14(11):2723–43. https://doi.org/10.1105/tpc.006494.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Heino P, Sandman G, LåNg V, Nordin K, Palva ETJT, Genetics A. Abscisic acid deficiency prevents development of freezing tolerance in Arabidopsis thaliana (L.) Heynh. Theor Appl Genet. 1990;79(6):801–6. https://doi.org/10.1007/BF00224248.

    Article  CAS  PubMed  Google Scholar 

  66. Zhang N, Li L, Zhang L, Li J, Fang Y, Zhao L, et al. F. C: Abscisic acid enhances tolerance to spring freeze stress and regulates the expression of ascorbate–glutathione biosynthesis-related genes and stress-responsive genes in common wheat. Mol Breed. 2020;40(11):1–18. https://doi.org/10.1007/s11032-020-01187-9.

    Article  CAS  Google Scholar 

  67. Ignatenko A, Talanova V, Repkina N, Titov A. Exogenous salicylic acid treatment induces cold tolerance in wheat through promotion of antioxidant enzyme activity and proline accumulation. Acta Physiol Plant. 2019;41(6):80. https://doi.org/10.1007/s11738-019-2872-3.

    Article  CAS  Google Scholar 

  68. Capel J, Jarillo JA. Low temperature regulates Arabidopsis Lhcb gene expression in a light_independent manner. Plant J. 1998;13(3):411–8. https://doi.org/10.1046/j.1365-313X.1998.00039.x.

    Article  CAS  PubMed  Google Scholar 

  69. Mozzo M, Dall’Osto L, Hienerwadel R, Bassi R, Croce R. Photoprotection in the antenna complexes of photosystem II: role of individual xanthophylls in chlorophyll triplet quenching. J Biol Chem. 2008;283(10):6184–92. https://doi.org/10.1074/jbc.M708961200.

    Article  CAS  PubMed  Google Scholar 

  70. Sonoike K, Terashima I. Mechanism of photosystem-I photoinhibition in leaves of Cucumis sativus L. Planta. 1994;194(2):287–93. https://doi.org/10.1007/BF01101690.

    Article  CAS  Google Scholar 

  71. Tjus SE, Moller BL, Scheller HV. Photosystem I is an early target of photoinhibition in barley illuminated at chilling temperatures. Plant Physiol. 1998;116(2):755–64. https://doi.org/10.1104/pp.116.2.755.

    Article  CAS  PubMed  Google Scholar 

  72. Ivanov AG, Morgan RM, Gray GR, Velitchkova MY, Huner NPA. Temperature/light dependent development of selective resistance to photoinhibition of photosystem I. FEBS Lett. 1998;430(3):288–92. https://doi.org/10.1016/S0014-5793(98)00681-4.

    Article  CAS  PubMed  Google Scholar 

  73. Scheller HV, Haldrup A. Photoinhibition of photosystem I. Planta. 2005;221(1):5–8. https://doi.org/10.1007/s00425-005-1507-7.

    Article  CAS  PubMed  Google Scholar 

  74. Asada K. And Kozi: the water-water cycle in chloroplasts: scavenging of active oxygen and dissipation of excess photons. Annu Rev Plant Physiol Plant Mol Biol. 1999;50(1):601–39. https://doi.org/10.1146/annurev.arplant.50.1.601.

    Article  CAS  PubMed  Google Scholar 

  75. Melkozernov AN, Blankenship RE. Structural and functional organization of the peripheral light-harvesting system in photosystem I. Photosynth Res. 2005;85(1):33–50. https://doi.org/10.1007/s11120-004-6474-5.

    Article  CAS  PubMed  Google Scholar 

  76. Alboresi A, Ballottari M, Hienerwadel R, Giacometti G, Morosinotto T. Antenna complexes protect photosystem I from Photoinhibition. BMC Plant Biol. 2009;9(1):71. https://doi.org/10.1186/1471-2229-9-71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Morosinotto T, Baronio R, Bassi R. Dynamics ofchromophore binding to Lhc proteins in vivo and in vitro duringoperation of the xanthophyll cycle. J Biol Chem. 2002;277(40):36913–20. https://doi.org/10.1074/jbc.M205339200.

    Article  CAS  PubMed  Google Scholar 

  78. Strain HH, Svec WA. Extraction, separation, estimation, and isolation of the chlorophylls - ScienceDirect. Chlorophylls. 1966:21–66. https://doi.org/10.1016/B978-1-4832-3289-8.50008-4.

  79. Zribi L, Fatma G, Fatma R, Salwa R, Hassan N, Néjib RM. Application of chlorophyll fluorescence for the diagnosis of salt stress in tomato "Solanum lycopersicum (variety Rio Grande)". Sci Hortic. 2009;120(3):367–72. https://doi.org/10.1016/j.scienta.2008.11.025.

    Article  CAS  Google Scholar 

  80. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30(15):2114–20. https://doi.org/10.1093/bioinformatics/btu170.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  81. Kim D, Langmead B, Salzberg SL. HISAT: a fast spliced aligner with low memory requirements. Nat Methods. 2015;12(4):360. https://doi.org/10.1038/nmeth.3317.

    Article  CAS  Google Scholar 

  82. Roberts A, Trapnell C, Donaghey J, RinnLior J, Biology PJG. Improving RNA-Seq expression estimates by correcting for fragment bias. Genome Biol. 2011;12(3):1–14.

  83. Pu Y, Liu L, Wu J, Zhao Y, Bai J, Ma L, et al. Transcriptome Profile Analysis of Winter Rapeseed (Brassica napus L.) in Response to Freezing Stress, Reveal Potentially Connected Events to Freezing Stress. Int J Mol Sci. 2019;20(11):2771.

  84. Wu J, Mao X, Cai T, et al. KOBAS server: a web-based platform for automated annotation and pathway identification. Nucleic Acids Res. 2006;34(Web Server issue):W720–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  85. Yuan L, Zhu S, Li S, Shu S, Sun J, Guo S. 24-Epibrassinolide regulates carbohydrate metabolism and increases polyamine content in cucumber exposed to Ca (NO3)2 stress. Acta Physiol Plant. 2014;36(11):2845–52. https://doi.org/10.1007/s11738-014-1612-y.

    Article  CAS  Google Scholar 

  86. Hu Z, Weijian L, Yali F, Huiquan L. Gibberellic acid enhances postharvest toon sprout tolerance to chilling stress by increasing the antioxidant capacity during the short-term cold storage. Sci Hortic. 2018;237:184–91. https://doi.org/10.1016/j.scienta.2018.04.018.

    Article  CAS  Google Scholar 

  87. Abdelkrim S, Jebara SH, Jebara M. Antioxidant systems responses and the compatible solutes as contributing factors to lead accumulation and tolerance in Lathyrus sativus inoculated by plant growth promoting rhizobacteria. Ecotoxicol Environ Saf. 2018;166(DEC.):427–36.

    Article  CAS  PubMed  Google Scholar 

  88. Mishra, et al. Low temperature induced modulation of photosynthetic induction in non-acclimated and cold-acclimated Arabidopsis thaliana: chlorophyll a fluorescence and gas-exchange measurements. Photosynth Res. 2019;139(1-3):123–43. https://doi.org/10.1007/s11120-018-0588-7.

    Article  CAS  PubMed  Google Scholar 

  89. Zou MQ, Yuan LY, Zhu SD, Liu S, Ge JT. Effects of heat stress on photosynthetic characteristics .and chloroplast ultrastructure of a heat-sensitive and heat-tolerant cultivar of wucai (Brassica campestris L.). Acta Physiol Plantarum. 2017;39(1):30.

  90. Finn RD, Penelope C, Eberhardt RY, Eddy SR, Jaina M, Mitchell AL, et al. The Pfam protein families database: towards a more sustainable future. Nucleic Acids Res. 2016;D1(D1):D279–85. https://doi.org/10.1093/nar/gkv1344.

    Article  CAS  Google Scholar 

  91. Chen C, Chen H, Zhang Y, Thomas HR, Xia R. TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data. Mol Plant. 2020;13(8). https://doi.org/10.1016/j.molp.2020.06.009.

  92. Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987;4:406.

    CAS  PubMed  Google Scholar 

  93. Lescot M, Déhais P, Thijs G, Marchal K, Moreau Y, van de Peer Y, et al. PlantCARE, a database of plant cis-acting regulatory elements and a portal to tools. Nucleic Acids Res. 2002;30(1):325–7. https://doi.org/10.1093/nar/30.1.325.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We thank LetPub (www.letpub.com) for its linguistic assistance during the preparation of this manuscript.

Funding

This work was supported by the Natural Science Research Projects of Anhui Universities (KJ2020ZD12), the Graduate Innovation Fund of Anhui Agricultural University (2020yjs-13), the Graduate Innovation Fund of Anhui Agricultural University (2021ysj-6), the Academic and Technical Leaders Reserve Candidate Project of Anhui Province, China (2018H181), and the Germplasm Resource Nursery of Wucai (201901n06030006).

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  1. Lingyun Yuan and Yushan Zheng contributed equally to this work.

Authors and Affiliations

  1. College of Horticulture, Vegetable Genetics and Breeding Laboratory, Anhui Agricultural University, 130 West Changjiang Road, Hefei, 230036, Anhui, China

    Lingyun Yuan, Yushan Zheng, Libing Nie, Liting Zhang, Ying Wu, Shidong Zhu, Jinfeng Hou, Guo Lei Shan, Guohu Chen, Xiaoyan Tang & Chenggang Wang

  2. Provincial Engineering Laboratory for Horticultural Crop Breeding of Anhui, 130 West of Changjiang Road, Hefei, 230036, Anhui, China

    Lingyun Yuan, Yushan Zheng, Libing Nie, Liting Zhang, Ying Wu, Shidong Zhu, Jinfeng Hou, Guo Lei Shan, Guohu Chen, Xiaoyan Tang & Chenggang Wang

  3. Wanjiang Vegetable Industrial Technology Institute, Maanshan, 238200, Anhui, China

    Lingyun Yuan, Shidong Zhu, Jinfeng Hou & Chenggang Wang

  4. College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China

    Tong Kun Liu

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Contributions

YZ conducted experiments and wrote the manuscript. LY and CW directed the study, including experimental design and manuscript revision. LN, LZ and YW analyzed the data. SZ, JH, TL, GS, GC and XT supervised the study. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Chenggang Wang.

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Line ‘WS-1’ was screened by the corresponding author and all seed materials were kept in the Vegetable Breeding Laboratory of the College of Horticulture, Anhui Agricultural University. No specific permits were required for the described field studies. The location is not privately-owned or protected in any way, and the field studies did not involve endangered or protected species. We complied with the IUCN Policy Statement on Research Involving Species at Risk of Extinction and the Convention on the Trade in Endangered Species of Wild Fauna and Flora.

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Yuan, L., Zheng, Y., Nie, L. et al. Transcriptional profiling reveals changes in gene regulation and signaling transduction pathways during temperature stress in wucai (Brassica campestris L.). BMC Genomics 22, 687 (2021). https://doi.org/10.1186/s12864-021-07981-9

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BMC Genomics

ISSN: 1471-2164

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