Melatonin (MT) treated Elymus nutans Griseb. (ENG) exhibited stronger physiological characteristics to cold exposure.
To investigate the physiological responses of Elymus nutans Griseb. (ENG) to cold exposure (CE), we determined numerous physiological parameters of plants from different treatments. The results showed that 4°C (TW/CE) did not affected the sugar contents in ENG, and significantly promoted the accumulation of MDA in vivo (Fig. 1A, B). By contrast, melatonin (MT) treatment reduced the accumulation of MDA in ENG under CE (Fig. 1A, B), suggesting that MT might promote the antioxidant capacity of ENG. Then, we determined the activities of antioxidant enzymes of ENG from each experiment group, including SOD, CAT and POD (Fig. 1C-E). The results showed that the activity of CAT and SOD in vivo was not affect by CE and MT (Fig. 1C, E). Of note, the activity of POD in TW (CE) was significantly lower than that in CK, suggesting that CE damaged the antioxidant system of ENG (Fig. 1D), then leading accumulation of MDA. Typically, MT increased the bioactivities of POD and SOD in ENG even under CE (Fig. 1D, E), suggesting that MT could enhance plant antioxidant capacity. Additionally, secondary metabolites represented by flavonoid also involved in the antioxidant system of plants[31]. Here, we found that the flavonoid content in ENG from TW/CE was significantly lower than that in CK, whereas MT increased the flavonoid content in ENG even under CE (Fig. 1F). Taken together, CE could damage the antioxidant system of plant, while MT improved this adverse effects, then enhanced ENG cold tolerance.
Cold stress altered the metabolic and transcriptomic patterns of Elymus nutans Griseb. (ENG).
To investigate the effects of cold stress on ENG, three biological replicates for ENG from both TW/CE and CK treatments were collected for transcriptome sequencing. Totally, 548970 M clean reads were generated from all samples with high-throughput sequencing, and 142,219 genes were identified in ENG. Then, we performed principal component analysis (PCA) on all transcriptome profiles to investigate the transcriptome pattern of ENG under CE (Fig. 2A). PCA plot was constructed using principal component 1 (PC1) and PC2, which explained 32% and 23% variations between all samples (Fig. 2A). The PCA plot showed that the samples from TW/CE clearly distributed at a single region and separated with CK (Fig. 2A), suggesting that low temperature significantly altered the transcriptome pattern of ENG. Typically, the differences between TW/CE and CK were mainly represented by PC2 (Fig. 2A). Meanwhile, Pearson correlation analysis showed an obvious cluster containing all samples of TW/CE, and separated with CK, supporting the PCA results and the credibility of our transcriptome data (Figure S1A). Then, 12,626 DEGs were identified, with 8794 downregulated DEGs and 3832 upregulated DEGs in TW vs. CK comparison based on FDR < 0.05 and Foldchange > 2.0 (Fig. 2B). Further Go enrichment analysis on all DEGs showed that these DEGs were significantly classified into 161 Go terms (FDR < 0.05), including 83 terms relevant to biological progress, 40 terms of cellular component and 39 molecular functions (Table S1). Typically, these genes mainly functioned in chloroplast, plastid, thylakoid, plastid stroma, photosynthetic membrane and plastid envelope, with numerous functions, such as chlorophyll binding, cofactor binding, oxidoreductase activity, carotenoid dioxygenase activity, linoleate 13S-lipoxygenase activity, oxidoreductase activity and ATPase (Table S1). And these genes mainly involved in Photosynthesis, plastid organization, oxidation-reduction process, response to toxic substance, pigment biosynthetic process, tetraterpenoid metabolic process, carotenoid metabolic process and flavonoid metabolic process of ENG (Table S1). Further KEGG pathway enrichment results showed that TW treatment mainly affected the expression of genes involved in Photosynthesis, Galactose metabolism, Linoleic acid metabolism, Phenylpropanoid biosynthesis, Starch and sucrose metabolism, Peroxisome, Glutathione metabolism, hormone signaling pathway and Flavonoid biosynthesis (Fig. 2C). Typically, numerous pathways relevant to antioxidant capacity of plants were significantly enriched in TW vs. CK comparison, especially Phenylpropanoid biosynthesis, Peroxisome, Glutathione metabolism and Flavonoid biosynthesis (Fig. 2C), supporting that low temperature affected the plant antioxidant system. Although the total content of sugar was not affected by cold stress in ENG, the genes involved in soluble sugar synthesis represented by Galactose metabolism were significantly differentially expressed in ENG under cold treatment (Fig. 2C). These results suggested that low temperature could altered the transcription pattern relevant to metabolisms of ENG.
Subsequently, we performed metabolomics analysis to investigate the metabolic composition of ENG under different temperature. Totally, 603 metabolites were identified in ENG, and the differentially expressed metabolites (DEMs) in TW vs. CK comparison were further filtered using P < 0.05 and Foldchange > 2.0 (Fig. 2E). The results showed that TW reduced the contents of 7 metabolites, and increases 39 metabolite contents in ENG (Fig. 2E). Further PCA and OPLS-DA analysis on metabolic profiles showed that TW/CW significantly altered the metabolic compositions of ENG (Fig. 2D; Figure S2), reaching a consensus with the transcriptome profiles that low temperature changed the metabolic compositions of ENG. Further KEGG enrichment analysis on these DEMs showed that these DEMs were significantly categorized in 8 pathways, including Glycine, serine and threonine metabolism, Aminoacyl-tRNA biosynthesis, Arginine and proline metabolism, Lysine biosynthesis, beta-Alanine metabolism, Sphingolipid metabolism, Nitrogen metabolism, Glutathione metabolism, Starch and sucrose metabolism and Flavonoid biosynthesis (Fig. 2F). Of note, Phenylpropanoid and Flavonoid biosynthesis were also significantly enriched against metabolic profiles (Fig. 2F). Typically, we found that the contents of phenylpropanoids and flavonoids varied among CK and TW groups (Fig. 2G). Thus, these results suggested low temperature could alter the transcriptome and metabolic pattern of ENG, especially leading changes in compositions of flavonoids.
MT treatment altered the transcriptome response of Elymus nutans Griseb. to cold stress.
Numerous researches documented the effects of MT in improving cold tolerance of plants [21–22]. Here, we found that MT promoted the physiological characteristic of ENG in response to low temperature. Then, we further compared the transcriptome profiles of ENG after MT treatment under different temperature environment. The PCA results showed distinct variations in CKMT vs. CK and TWMT vs. TW comparisons (Fig. 2A), suggesting that MT altered the transcriptome pattern of ENG. Of note, the CKMT and TW samples partially overlapped with each other, suggesting that MT could affected some responses of ENG to cold challenge (Fig. 2A). Totally, 2310 (1465 downregulated DEGs and 845 upregulated DEGs) and 4902 (1856 downregulated DEGs and 3046 upregulated DEGs) DEGs were identified in CKMT vs. CK and TWMT vs. TW comparisons (Fig. 3A). Further Go enrichment analysis on DEGs from CKMT vs. CK showed that these genes significantly involved in 65 Go terms, such as NAD(P)H dehydrogenase complex assembly, cell wall modification, L-phenylalanine catabolic process, phenylpropanoid metabolic process, oxidation-reduction process, tyrosine catabolic process, ATPase inhibitor activity, dioxygenase activity, glucuronokinase activity, cell periphery, extracellular region and oxidoreductase complex (Table S1). It has been found that flavonoids accumulation and cell wall modification involved in the cold tolerance of plants[19]. Thus, these results implied that MT could alter the metabolic composition of ENG to enhance cold tolerance. In parallel, DEGs from TWMT vs. TW comparison mainly involved in photosynthesis, oxidation-reduction process, NAD(P)H dehydrogenase complex assembly, Thylakoid, photosynthetic membrane, chloroplast, plastid, hydrolase activity, oxidoreductase activity, glycerophosphocholine phosphodiesterase activity and glutathione hydrolase activity (Table S1). Cold exposure will damage the photosynthesis of plant to affect plant normal growth [9]. Of note, numerous terms relevant to photosynthesis were significantly enriched in TWMT vs. TW (Table S1), implying that MT might help plants maintain normal photosynthesis under low temperature condition.
Subsequently, we performed KEGG pathway enrichment analysis on both sets of DEGs (Fig. 3B). For DEGs from CKMT vs. CK, KEGG results showed that these DEGs mainly involved in Photosynthesis, ABC transporters, Phenylpropanoid biosynthesis, Glutathione metabolism, Plant hormone signaling, Zeatin biosynthesis and Flavonoid biosynthesis (Fig. 3B). It reached a consensus with Go results that MT could affect the transcriptome pattern of flavonoid biosynthesis in ENG under normal condition (Fig. 3B, C; Table S1). Additionally, we noted the enrichment of zeatin biosynthesis in CKMT vs. CK (Fig. 3B, C), implying that hormone zeatin might be responsible for regulating responses of ENG to cold stress. In addition, KEGG pathway enrichment analysis on DEGs from TWMT vs. TW showed that 17 biosynthesis pathways were significantly enriched, including Photosynthesis, Starch and sucrose metabolism, Galactose metabolism, Flavonoid biosynthesis, Phenylpropanoid biosynthesis, Tyrosine metabolism, Phenylalanine, tyrosine and tryptophan biosynthesis and Zeatin biosynthesis (Fig. 3B). Of note, Flavonoid biosynthesis, Zeatin biosynthesis and Photosynthesis were also significantly enriched in TWMT vs. TW comparison (Fig. 3B, C), supporting that MT could affect these processes to enhance ENG cold tolerance. Importantly, the pathways affected by both low temperature and MT treatments were highly consistent in our transcriptome profiles of ENG (Fig. 3C). Then, we analyzed the detailed expression pattern of genes involved in Flavonoid and Zeatin biosynthesis (Fig. 3D). As shown in Fig. 3D, the expression pattern of genes relevant to flavonoid biosynthesis were reprogrammed by MT, leading to accumulation of specific metabolites in ENG. Additionally, most of genes relevant to zeatin signal were upregulated by cold and MT treatments (Fig. 3E), supporting the involvement of zeatin in regulating MT-enhanced cold tolerance of ENG.
Taken together, we proposed that MT could enhanced cold tolerance of ENG via promoting accumulation of specific flavonoids and maintaining normal photosynthesis, and this effect of MT were mediated by zeatin signal.
MT treatment altered the metabolic compositions associated with cold environment in Elymus nutans Griseb.
Here, we further compared the metabolic profiles of ENG rom CKMT vs. CK and TWMT vs. TW comparisons. To identify the overview of changes in metabolic pattern of ENG following MT treatment under different temperature, we performed PCA analysis on all metabolic profiles of ENG (Fig. 2D). The PCA plots constructed by PC 1 and 2 showed significant variations in metabolic patterns among all groups, while PC1 and PC2 explained 19.5% and 11.9% variations associated with experimental treatments (Fig. 2D). Typically, PC1 mainly explained the variations between TWMT and TW comparison (Fig. 2D), suggesting that MT altered the metabolic composition of ENG under low temperature. Then, 22 (9 upregulated DEMs and 13 downregulated DEMs) and 46 (41 upregulated DEMs and 5 downregulated DEMs) DEMs were identified in CKMT vs. CK and TWMT vs. TW, respectively, based on P < 0.05 and Foldchange > 2.0 (Fig. 4A). We cauterized all these DEMs using KEGG pathway analysis, and found that these DEMs were mainly synthesized from beta-Alanine metabolism, Citrate cycle (TCA cycle), Alanine, aspartate and glutamate metabolism, Flavonoid biosynthesis, Phenylpropanoid biosynthesis, Starch and sucrose metabolism and Zeatin biosynthesis (Fig. 4B). Of note, MT treatment also reprogrammed the compositions of flavonoids and soluble sugars in ENG (Fig. 4B). Typically, we found that numerous flavonoids were induced to increase in ENG by MT and low temperature treatments, especially neoglycyrol, daidzein-4'7-diglucoside, delphinidin, pelargonidin-3-O-glucoside, butein and phillyrin (Fig. 4C). Considering the effects of flavonoids in plant response to cold stress, these metabolites were identified as candidate compounds that involved in the mechanisms of MT-enhanced cold tolerance of ENG. Additionally, we noted the accumulation of zeatin in TW, and its content were further induced to higher levels in ENG by MT (Fig. 4D). Thus, we proposed that zeatin might involve in regulating MT-enhanced cold tolerance of ENG. To test this possibility, we detected the expression levels of numerous genes relevant to flavonoid biosynthesis in ENG after exogenous zeatin treatment using RT-qPCR (Fig. 4E). The results showed that zeatin treatment significantly induced the expression levels of PAL, CHS, 4CL and FLS (Fig. 4E), suggesting that the MT- and cold-induced accumulation of flavonoids in ENG were mediated by zeatin signal. Overall, these results suggested that MT mainly promoted the cold tolerance of ENG via increasing flavonoid content, which was mediated by zeatin signal.
Active regulation network of zeatin synthesis involved in regulating MT-conferred cold tolerance of ENG.
Considering the effects of zeatin in regulating MT-enhanced cold tolerance of ENG, we further constructed the co-expression network of genes relevant to zeatin synthesis (zeatin1, zeatin2, zeatin3 and UGT73C3) using WGCNA based on all transcriptomic profiles of ENG (Fig. 5). The expression data of all transcription factors of ENG were selected via Nr annotation for WGCNA construction. We set the soft threshold to 22 (R2 = 0.75) to construct a scale-free network (Fig. 5A). Then, 14 modules were identified by hierarchical clustering and the dynamic branch cutting (Fig. 5B, C), each module was assigned a unique color as an identifier (Fig. 5C, D). Then, the modules highly correlated with the related traits were filtered out for further construction of regulation network of zeatin synthesis in ENG (Fig. 5D). Based on the WGCNA results, we identified that MEbrown, MEmagenta, MEyellow and MEturquoise were highly related to genes relevant to zeatin synthesis (Fig. 5D). Among genes from these modules, we constructed the co-expression regulation networks for zeatin synthesis (Fig. 5E). Totally, we identified that 170 transcription factors were responsible for positively regulating zeatin synthesis in vivo (P < 0.05; Fig. 5E; Table S3). As shown in Fig. 5E, NAM, GT-3a, GHD7, WRKY17, WRKY11, MYB59 and RAP2 (Accession number: TRINITY_DN1111_c0_g2, TRINITY_DN17254_c0_g1, TRINITY_DN20832_c0_g1, TRINITY_DN25531_c0_g1, TRINITY_DN30587_c0_g1, TRINITY_DN37908_c0_g1 and TRINITY_DN5309_c0_g1) were the hub genes involved in the regulation network of zeatin synthesis in ENG, and it was positively correlated with the expression of zeatin-related genes (Fig. 5E; Table S3). As shown in Fig. 5F, most of these genes were upregulated to higher expression levels in ENG by MT and low temperature treatments, suggesting that MT could activate the regulation network of zeatin synthesis to increase zeatin content in ENG. Further RT-qPCR assay confirmed that transcription factors including WRKY17, WRKY11 and MYB59 were activated to upregulate in ENG by MT and low temperature treatments (Fig. 5G). Taken together, these results suggested that MT could activate zeatin signal to promote flavonoid accumulation in ENG, then promoted the cold tolerance of ENG.