Introduction

Cadmium (Cd), a non-essential heavy metal, causes a distinct toxicity in both plants and humans1. In planta, Cd directly or indirectly causes several toxicities, such as inducing oxidative stress2,3,4, altering the chloroplast ultrastructure5, damaging chlorophyll synthesis, impairing photosynthetic efficiency6,7, and reducing mineral nutrient uptake such as Zn, Fe, and Ca8, finally inhibiting plant growth and causing death9,10,11. However, some Cd- tolerance plants or hyper-accumulators such as Thlaspi caerulescens 12, Sedum alfredii 13, Viola baoshanensis 14, and Solanum nigrum 15 accumulate high Cd concentrations in shoots without or having only mild toxicity symptoms16, which therefore have been/being used for phytoremediation of Cd. Meanwhile, their physiological and molecular mechanisms of Cd tolerance have been/being substantially revealed17,18,19. However, different species exhibit different Cd uptake, translocation, detoxification and their associated mechanisms. Thus, it is crucial to identify new Cd accumulators or hyper-accumulators, and understand their physiological and molecular mechanism.

Several species of the Asteraceae family, such as Crassocephalum crepidioides 20, Bidens pilosa, Kalimeris integrifolia 21, Chromolaena odorata 22, Elephantopus mollis 23, and Picris divaricata 24, are recommended as Cd-accumulators, which are used for phytoremediation. Cosmos (Cosmos bipinnatus Cav.), an annual species of Asteraceae, possesses ornamental value in its leaves and flowers, as well as strong adaption and plasticity traits in adverse environments. Thus, it is now widely cultivated in China. Previous study indicated that C. bipinnatus is a potential chromium (Cr) hyper-accumulator in plants25. Whether is it a Cd hyperaccumulator/accumulator, and possesses unique physiological and molecular mechanisms?

With the advent of next-generation sequencing (NGS) technology, RNA sequencing (RNA-Seq) has been/being widely used to reveal molecular mechanisms under abiotic stresses and to enrich our transcriptional evidence for plants26,27. Increasing studies using RNA-Seq have revealed Cd response in different plants and understood their associated molecular mechanism28,29,30,31. For example, compared with low-Cd-accumulation (LCA) genotypes, transcriptomic evidence indicated that high-Cd-accumulation (HCA) genotypes have more complicated mechanisms when exposed to Cd32,33,34. Additionally, RNA-Seq has also been used to screen candidate genes for Cd hyper-accumulator and provide a novel perspective on the molecular mechanisms, such as in Noccaea caerulescens 35 and Solanum nigrum 36. However, the transcriptome information for C. bipinnatus under Cd stress, is still unknown.

In the present study, we identified a new Cd accumulator, C. bipinnatus, from the Asteraceae family, and aimed to reveal its potential physiological and molecular mechanisms using metal subcellular distribution, several biochemical indexes, and RNA-Seq. Additionally, due to lack of genomic information of C. bipinnatus, construction of the transcriptome of the C. bipinnatus would facilitate its molecular research.

Results

Plant growth

Compared with control, the seedlings treated with 40 μmol/L Cd did not show obvious toxicity symptoms after 9 days of treatment, while 80 and 120 μmol/L Cd treatment exhibited visibly toxic symptoms, such as the decreased leaf number, and the reddened stems at 120 μmol/L (Fig. 1). 40 μmol/L Cd did not significantly affect the fresh and dry weight of plant and the length of root (Fig. 2A–C). However, the biomass was significantly reduced by 80 and 120 μmol/L Cd (Fig. 2A and B). Since several significant changes were observed between 40 and 80 μmol/L (Fig. 1 and 2), 40 μmol/L Cd should be recommended as the threshold of normal growth.

Figure 1
figure 1

Growth of C. bipinnatus  treated with different Cd concentrations.

Figure 2
figure 2

The growth of C. bipinnatus exposed to Cd. A: the fresh weight of the plants; B: the dry weight of the plants, and C: the root length. Values were means ± standard deviation (n = 3); values followed by different lowercase letters show significant differences at P < 0.05 . 

Cd accumulation and distribution

The Cd concentration was not observed in all samples under 0 μmol/L Cd stress (Table 1). The Cd concentrations of all samples increased significantly with increasing Cd concentration. Cd accumulated highly in the roots, followed by the stems and the leaves (Table 1). Translocation factor (TF) values of the stems ranged from 0.56–0.64 was higher than those of the leaves ranged from 0.19–0.29 (Table 1), suggesting that most of Cd in aboveground was sequestrated in the stems.

Table 1 The concentration of Cd in dry tissues and translocation factor (TF) of C. bibinnatus seedlings treated with different levels of Cd.

In order to understand whether different Cd stresses exhibited different Cd detoxifications or toxicity, we analyzed the Cd subcellular distribution mainly in the roots under these three Cd stresses. Under 40 μmol/L Cd stress, more than 80% Cd was accumulated in the soluble fraction, approximate 15% Cd was accumulated in the cell wall fraction, and only 5% Cd was transported into the organelle fraction (Fig. 3). Although Cd in soluble fraction was dramatically reduced with the increasing Cd concentrations, more than 55% Cd was still sequestrated in this fraction when treated with 120 μmol/L Cd (Fig. 3). Meanwhile, Cd in cell wall fractions were significantly increased with the increasing Cd concentrations, up to 40% Cd was binding in cell wall fraction when treated with 120 μmol/L Cd. These results indicated that the sequestration of Cd into soluble fraction is the main Cd detoxification mechanism under low Cd stress, while the sequestration of Cd into soluble fraction and the binding of Cd in the cell wall fraction represent a coaction for Cd detoxification with the increasing Cd concentrations.

Figure 3
figure 3

The subcellular distribution of Cd under different concentrations of Cd.

Effects of Cd on Zn, Ca, and Fe concentrations in C. bipinnatus

After 9 days of treatments, the Cd stresses significantly decreased the uptake of Zn in the roots when compared with CK (Fig. 4A). Interestingly, Zn concentration in the stems and leaves were mainly increased, although some decreased at 120 μmol/L Cd in stems (Fig. 4B and C). These results indicated that Cd inhibited the uptake of Zn in the roots, but promoted the translocation of Zn from root to shoot. Meanwhile, Cd stresses significantly decreased the Ca concentration in the stems and the roots (Fig. 4D and E), but did not affect the Ca concentration in the leaves (Fig. 4F). Cd increased Fe concentrations in roots and stems leaves, although the differences were not significant (Fig. 4G and H). But it significantly increased the Fe concentrations in leaves (Fig. 4I). These results indicated that Cd treatment may differentially affect the uptake of metal nutrients in C. bipinnatus.

Figure 4
figure 4

The concentration of metals under different Cd treatments of C. bipinnatus seedlings. A, B, and C: the concentration of Zn; D, E, and F: the concentration of Ca; G, H, and I: the concentration of Fe. N.S., no difference in various treatments. Values were means ± standard deviation (n = 3); values followed by different lowercase letters show significant differences at P < 0.05.

MDA concentrations and the activity of several antioxidant enzymes

In order to understand whether Cd induces biochemical damage, we investigated several biochemical indexes which are involved in oxidative stress. Compared with CK, Cd significantly increased the MDA concentrations in leaves (except of 40 μmol/L, Fig. 5A) and roots (Fig. 5B). Meanwhile, the POD activity in the leaves and roots were dramatically increased (Fig. 5C and D). Interestingly, Cd stresses did not affect the CAT activity in the leaves (Fig. 5E) and roots (except of 40 μmol/L, Fig. 5F). Except of 120 μmol/L Cd in the leaves, the SOD activity in the leaves and roots were increased by all three Cd treatments (Fig. 5G and H). Although 40 μmol/L Cd did not affect the GR activity, 80 and 120 μmol/L Cd significantly increased the GR activity in leaves and roots (Fig. 5I and J). These results indicated that lower Cd treatment (40 μmol/L) did not cause severe oxidative stresses, while higher Cd treatment (80–120 μmol/L) produced more oxidative damages.

Figure 5
figure 5

Physiological parameters of C. bipinnatus under different concentrations of Cd. A and B: the concentration of MDA; C and D: the POD activity; E and F: the CAT activity; G and H: the SOD activity; I and J: the GR activity. N.S., no difference in various treatment. Values were means ± standard deviation (n = 3); values followed by different lowercase letters show significant differences at P < 0.05.

Transcriptome sequence and de novo assembly

Cd stresses changed the accumulation of some metal nutrients, the subcellular distribution of Cd, and the concentration and activity of some biochemical indexes. Meanwhile, some significantly changes were induced by 40 μmol/L Cd and no obvious toxic symptom was observed. Root samples treated with 40 μmol/L Cd was interestingly used to transcriptome analysis to reveal molecular response. 14.9 Gb nucleotides were generated (Table 2), which was deposited in the Sequence Read Archive (SRA) database with the accession numbers SRR3546768 and SRR3546769. 66,407 unigenes with the means length of 817 bp and N50 value of 1,344 bp were assembled. Among these assembled unigenes, the length of 18,491 unigenes (27.8% of all the unigenes) was more than 1,000 bp (Table 2). These results suggested that RNA sequencing and assembled unigenes had well quality and could be used for further transcriptome analysis.

Table 2 Overview of the reads and assembly.

Functional annotation and classification

41,674 (62.76%) unigenes were functionally annotated in at least one of the five databases: GO, KEGG, COG, Swissprot and NR (Table 3). 24,733 (37.24%) unigenes were not annotated in any public database. Among these annotated unigenes, 15,481 unigenes were classified into 25 COG categories. In detail, the major group of COG was ‘general functions prediction only’, followed by ‘translation, ribosomal structure and biogenesis’, ‘transcription’ and ‘replication, recombination and repair’ (SFig. 1). 24,639 unigenes were classified into three major categories of GO classification. ‘Cell’, ‘organelle part’ and ‘cell part’ represented the largest proportion in the cellular component category, while ‘catalytic activity’ and ‘cell part’ represented the most abundant categories in molecular function category. Moreover, the most abundant categories were ‘metabolic process’, ‘cellular process’ and ‘single-organism process’ in biological process category (SFig. 2). A total of 18,496 unigenes were annotated in the KEGG database and were classified into 128 KEGG pathways (STable 2). Briefly, ‘ribosome’ pathway (ko03010) contains the most abundant unigenes, followed by ‘carbon metabolism’ (ko01200), ‘biosynthesis of amino acids’ (ko01230), and ‘protein processing in endoplasmic reticulum’ (ko04141). All sequences and functional information were deposited in the NCBI Transcriptome Shotgun Assembly database with accession number GEZQ00000000.

Table 3 Result of unigne annotation.

Identification and functional characterization of differentially expressed genes in response to Cd stress

In present study, a log-fold expression change (log2FC) >2 or <−2 with P values <0.0005 and FDR <0.001 was used to determine the differentially expressed genes (DEGs). Compared with CK, 2,658 unigenes including 1,292 up-regulated unigenes and 1,366 down-regulated unigenes were induced by Cd (SFig. 3). Based on GO annotation, a total of 2,460 DEGs were classified into three GO major categories (SFigure 4A–C). Moreover, a total of 1,884 DEGs were annotated in KEGG pathway (STable 3).

Noteworthy DEGs and metabolic pathways related to Cd uptake, transportation and detoxification

As shown in Fig. 6, a network associated to Cd uptake, transport, translocation, and detoxification were aggregated. Cd in extracellular could be obstructed by cell wall structures for toxicity reduction, while part of Cd would be transported by some metal transporters. When Cd entered into the C. bipinnatus cells, various metabolic processes could be induced for Cd detoxification. GSH, MTs and organic acid would be bound with Cd and then sequestrated into vacuoles. Cd also induced unigenes of antioxidant enzymes for oxidative defense. Finally, some Cd-chelates would be uploaded into xylem for transportation by some metal transporters.

Figure 6
figure 6

The presumed transcriptional network related to Cd uptake, translocation, and detoxification in C. bipinnatus root. The red arrows represent up-regulated genes, while the green arrows represent down-regulated genes. The dotted red boxes represent noteworthy mechanism pathways.

Briefly, this network was mainly composited by the several following processes. Firstly, total 49 metal transporters (34 up-regulated and 15 down-regulated) including zinc transporters (ZIPs), ATP-binding cassette (ABC) family members, heavy-metal ATPases (HMAs) like HMA3, HMA2, the family of natural resistance-associated macrophage protein (NRAMP) members such as NRAMP2, NRAMP3, yellow stripe-like (YSL) family members, and plant cadmium resistance protein PCR2 were observed (Table 4), suggesting that these metal transporters might participate in Cd uptake, transport and translocation. 29 DEGs (14 up-regulated and 15 down-regulated) involved in sulfate and GSH metabolism such as gene encoding adenylyl-sulfate kinase, sulfate adenylyl-transferase, serine acetyltransferase, adenylyl-sulfate reductase, sulfite reductase, serine acetyl-transferase, cysteine synthase, ornithine decarboxylase, spermidine synthase, glutathione S-transferase, and γ-glutamyl-transpeptidase 3 were regulated by Cd, suggesting the potential biosynthesis of GSH and PCs and chelation of Cd (Table 4, SFig. 5). 7 DEGs (1 up-regulated and 6 down-regulated) were metal chelates such as metallothioneins (MTs), suggesting MTs also play role in Cd chelation (Table 4). 30 DEGs (13 up-regulated and 17 down-regulated) were involved in cell wall metabolism, such as UDP-glucose 6-dehydrogenase1 (UGDH1), UDP-glucose pyrophosphorylase2 (UGP2), glucose-6-phosphate isomerase (GPI), sucrose synthase, pectinesterase, UDP-glucuronate-4-epimerase, fructokinase, beta-fructofuranosidase, xyloglucan endotransglucosylase/hydrolase protein, expansin, glucan 1,3-alpha-glucosidase, cellulose synthase, callose synthase, and laccase, suggesting the compositions of cell wall were changed, mainly focused on pectin, callose and cellulose (Table 4). In addition, 12 DEGs (1 up-regulated and 11 down-regulated) participated in phenylpropanoid metabolism were regulated by Cd (Table 4). 17 DEGs (9 up-regulated and 8 down-regulated) were participated in tricarboxylic acid cycle (TCA) pathway, which potentially enhanced glucose metabolism and produced more organic acids such as citrate and malate for Cd binding (Table 4, SFig. 6). 11 DEGs (4 up-regulated and 7 down-regulated) were related to nitrogen metabolism, including genes encoding high-affinity nitrate transporter, nitrate reductase, ferrddoxin-nitrite reductase, glutamine synthetase, and glutamate synthase [NADPH/NADH] (Table 4). Moreover, 14 DEGs (4 up-regulated and 10 down-regulated) involved in antioxidant system, like superoxide dismutase, catalase isozyme, phospholipid hydroperoxide glutathione peroxidase, monodehydroascorbate reductase, and ascorbate peroxidase were differentially regulated by Cd (Table 4

Table 4 Noteworthy DEGs and metabolic pathways related to Cd uptake, transportation and detoxification.

).

RT-qPCR validation

To confirm the differential expression profiles of DEGs identified from RNA-Seq analysis, a total of 14 candidate DEGs were randomly selected from RNA-Seq and their expression levels in CK and Cd were examined by quantitative RT-PCR. As expected, the expression pattern of those unigenes obtained from qRT-PCR was similar with the differential expressions from RNA-Seq (Fig. 7).

Figure 7
figure 7

Quantitative RT-PCR of selected DEGs under control and Cd treatment in C. bipinnatus. The black bar represents the result of Rseq calculated by FPKM. The black bar with standard deviation represents the relative expression level determined by qPCR analysis.

Discussion

Under Cd stress, if the plants accumulate more than 100 μg/g Cd in dry aerial tissue, the value of TF is more than 1, and with normal growth, these plants are recommended as Cd hyper-accumulators37,38,39. However, most plants exhibit Cd toxicity when the leaves accumulate more than 5–10 μg/g Cd40. In the present study, C. bipinnatus accumulated 60.36 ±  2.17 μg/g Cd in the leaves, 321.15 ± 16.04 μg/g Cd in the stems, and 576.65 ± 41.48 μg/g Cd in the roots under 40 μmol/L Cd treatment without showing obvious toxic symptoms (Table 1 and Fig. 1), indicated that C. bipinnatus has strong tolerance to Cd. Although the TF values of C. bipinnatus were less than 1 (ranged from 0.66–0.79), the Cd concentrations of leaves and stems individually reached to 60.36 and 321.15 μg/g. Thus, C. bipinnatus should be a Cd accumulator, which would be potentially used for phytoremediation under mild Cd stress. However, the mechanism of strong tolerance and high Cd accumulation of C. bipinnatus was unknown. The physiological parameters and transcriptome analysis would help us revealing the mechanism.

Normally, Cd was intake, translocated and accumulated using other metal transporters, such as Zn, Fe and Cu41. Although ZIP genes mainly transport Zn, some ZIPs participate in Cd transport in Arabidopsis and Thlaspi caerulescens 42. We found that Cd up-regulated ZIP1, ZIP3, ZIP5, ZIP7, and ZTP29 (Table 4), suggesting that these genes were involved in Cd and Zn transport, thus the Zn concentrations in roots were reduced (Fig. 4A). HMA2, a Cd/Zn transporter, loads Cd/Zn into xylem43,44. The increased expression level of HMA2 in Arabidopsis 45, rice44, and barley43 induced Cd or Zn xylem uploading for translocation to the shoot. HMA3, another P-type ATPase gene, segregates Cd or Zn into the root vacuolar to limit the Cd xylem loading46,47. Down-regulation of HMA3 resulted in a decreased concentration of Cd in the root48. Certainly, when HMA3 is localized at the leaf vacuolar, it also transports Cd into the leaf vacuolar, finally producing Cd hyper-accumulator of Thlaspi caerulescens 16. Therefore, in the present study, up-regulation of HMA2 and down-regulation of HMA3 not only implied most of Cd was uploaded to aerial tissues, which resulted in high root-shoot translocation (Table 1), but also suggested a certain amount of Zn was uploaded to shoots, so that higher Zn concentrations accumulated in aerial tissues under Cd treatment (Fig. 4B and C). NRAMP (nature resistance associated with microphage) family members display poor selectivity towards divalent mental cations, which are responsible for heavy metal ions uptake and transport49. Previous studies have found that NRAMP1, NRAMP3, NRAMP4 and NRAMP6 transport Fe and Cd49,50,51,52. NRAMP2 and NRAMP3 involved in metal efflux from the vacuole49,53,54. In Arabidopsis, increased expression levels of NRAMP3 result in an increased metal output from the vacuole55. Two NRAMP family genes (NRAMP2 and NRAMP3) were both up-regulated by Cd in our research, suggesting that they involved in Fe or Cd efflux from vacuole, thereby leading to high accumulation of Fe in aerial tissues (Fig. 4H and I). Higher Fe concentration in shoots alleviated the Cd toxicity in Arabidopsis 56. Therefore, the increased concentration of Fe in leaves of C. bipinnatus may also be associated with the detoxification of the plant. Additionally, NRAMP2 and NRAMP3 may also have a role in Cd transport processes. YSL genes participate in Fe-nicotinamide (Fe-NA) complex root-to-shoot transport57. Cd mediated the expression of YSL3 and YSL7, suggesting Cd affected Fe transport in the plant. Previous study also found that YSL3 in Solanum nigrum and YSL7 in Brassica juncea were induced by Cd as well58,59. However, it remains unknown whether YSL family genes are involved in transport of Cd-NA complexes transport, and further study must be conducted to analyze the function of YSL genes under Cd stress.

The subcellular distribution of Cd in the root is associated with the accumulation, translocation, and detoxification of Cd60. Cd bound in the cell wall fraction is an important mechanism for Cd tolerance61,62,63. A large part of Cd was bunded in root cell wall of C. bipinnatus, especially at high Cd concentration treatment (Fig. 3). Cell wall is comprised of polysaccharide (including cellulose, semi-cellulose and pectate) and protein64,65. Containing abundant hydroxyl (OH-) for metal binding66, cellulose and semi-cellulose are both essential components of primary and secondary cell walls of higher plants31,67. In addition, cellulose synthase plays important role in cellulose formation, while xyloglucan endotransglucosylase (XTH) are involved in cell wall extension by cutting loosened xyloglucan strands and integrating new xyloglucans into the cell walls68. Present study found that the genes encoding cellulose synthase and XTH are up-regulated by Cd, suggesting the synthase and remobilization of cellulose and semi-cellulose play critical role in Cd binding. Moreover, the existence of pectin enhances the binding capacity of cell wall69,70. The synthase of pectin is associated with glucose metabolism. Several DEGs involved in UGP2, GPI, beta-fructofuranosidase and pectinesterase were up-regulated by Cd treatment (Table 4, SFig. 7), suggesting that Cd induce formation of pectin, thereby enhancing the capacity of Cd accumulation in cell walls, resulting high Cd tolerance of C. bipinnatus. Moreover, callose functions as a mechanical barrier to prevent ions penetration52,71,72,73, and the multi-copper-containing glycoprotein laccases involved in cell wall lignification74. The unigenes encoding callose synthase and laccase were up-regulated by Cd treatments in our study, implied that C. bipinnatus accumulated callose deposition and enhance cell wall lignification in root to prevent Cd entering the protoplasts under Cd stress. These results indicated that cell wall obstruction is one of important detoxification mechanism in C. bipinnatus.

After Cd entered into cytoplasm, it would be bound with metal chelates and then sequestrated into vacuoles to reduce their toxicity. The result of Cd subcellular distribution demonstrated that a large proportion of Cd was found in soluble fractions, suggesting the vacuole was the predominant detoxification sink for Cd in C. bipinnatus root. Vacuole possesses abundant sulphur-rich peptides such as GSH and PCs75,76,77, and organic acids78, which binds heavy metals and decreases their migration to reduce toxicity. Interestingly, unigenes involved in glutathione (GSH) metabolism, including serine acetyltransferase, cysteine synthase, ornithine decarboxylase, spermidine synthase, glutathione S transferase, γ-glutamyltranspeptidase, and unigenes from ABCC family were up-regulated under Cd treatment (Table 4). Meanwhile, ABCC1, ABCC2 and ABCC3 are major vacuolar PC-Cd transporters in other plants75,79, which were also up-regulated. Thus, Cd in cytoplasm turned into GSH (PC)-toxic compounds, finally transported by ABCC transporters without displaying cytotoxic to plant cell80,81,82. Vacuole sequestration of Cd also plays main role in Phytolacca Americana 83 and Arachis hypogaea 84. Moreover, GSH is also one of important antioxidants in plants. AsA -GSH cycle system can be able to eliminate ROS in many plants. Genes encoding enzymes involved in AsA-GSH cycle like glutathione peroxidase, monodehydroascorbate reductase and L-ascorbate peroxidase were up-regulated by Cd. Similarly, the activity of GR under Cd stress significantly increased compared with CK. These results indicated that enhancement of AsA-GSH cycle improved Cd tolerance of C. bipinnatus.

MDA is the product of lipid peroxidation, and its concentration reflects the degree of oxidative damage. In our study, 40 μmol/L Cd did not increase the MDA concentrations in leaves, while MDA concentration increased in roots of C. bipinnatus with higher accumulation of Cd (Fig. 5A and B), indicating that C. bipinnatus had strong tolerance under lower Cd but suffered cellular oxidative stress at higher Cd. Activities of antioxidant enzymes are induced by oxidative stress, and increased antioxidant level prevent oxidative damages85. Previous studies illustrated their functions in scavenging ROS in plants86,87. The enzyme SOD alters O2 to H2O2 and oxygen88. CATs convert H2O2 to water and molecular oxygen, while PODs have a more elevated affinity to H2O2 than CATs89. The coordination between different enzymes can alleviate oxidative stress in the plant. In our study, compared with CK, the activity of POD and SOD in leaves were significantly increased under 40 μmol/L Cd treatment (Fig. 5C and G), while other two enzymes did not show significant changes (Fig. 5E and I), suggested that the activities of SOD and POD possessed sufficient capacity to scavenging ROS under lower Cd treatment. Therefore, the MDA concentration did not increase under 40 μmol/L Cd. However, generation of ROS were increased with the increased of Cd concentrations, exceeding the limits of POD and SOD scavenging ability (Fig. 5I). Meanwhile, the GR activity increased, complementing the ability of ROS scavenging. In addition, two unignenes encoding peroxidase were up-regulated under Cd treatment. These results demonstrated that antioxidative enzymes indeed play an important role in Cd detoxification and enhance tolerance of C. bipinnatus under adverse environment.

Summary, C. bipinnatus was recommended as a “Cd-accumulator” that would be potentially used for phytoremediation under mild Cd stress. Subcellular distribution of Cd displayed different detoxification mechanisms under different levels of Cd stress. C. bipinnatus initiated diverse defense and detoxify response to keep strong tolerance when treated with Cd stress. RNA-Seq analysis revealed that ZIPs, NRAMPs, HMAs, and ABC transporters were involved in Cd uptake, translocation and accumulation. Meanwhile, several processes such as cell wall biosynthesis, glutathione (GSH) metabolism, TCA cycle and the antioxidant system probably played critical roles in cell wall binding, vacuole sequestration and detoxification.

Materials and Methods

Plant culture and Cd treatment

Cosmos seeds (Cosmos bipinnatus Cav.) were sterilized with 2% NaClO for 20 min then rinsed with deionized water. The sterilized seeds were germinated on clean sand at 25 °C. After 2 weeks, the uniform seedlings were transplanted into plastic pots with 2.5 L half-strength Hoagland nutrient (60 plants per pot, pH 6.5) for 7 days and this was then replaced with full Hoagland nutrient solution. The plastic pots were randomly divided into 4 groups, each in triplicate. The four groups were treated with control, 40, 80, and 120 μmol/L CdCl2, respectively. All plants grew in a growth chamber with a daily temperature of 25 °C, a relative humidity of 70% and a photon flux density of 500 μmol/m2·S. Leaf, stem and root samples of all the treatments were collected on the 9th day. The root samples from 10 plants (10 plants per replicate, three biologic repeats) were collected and rapidly frozen in liquid nitrogen and then stored at −80 °C for RNA extraction.

Phenotype characterization

On the 9th day after treatment, the plant height and root length were measured (12 plants per biological replicate, three biologic repeats). The fresh weight of root, stem and leaf were also weighted. After weighing, all tissues were then dried at 80 °C for two days for dry weight calculation and metal concentration measurement.

Measurement of metal concentrations and calculation of translocation factor (TF)

The concentration of Cd, Zn, Fe, and Ca was measured as described by Wang et al.90 with some modifications90. Briefly, approximately 0.2 g dried plant samples were ground into powder which was digested at 320 °C with mixed acid [HNO3 + HClO4 (4:1, v/v)]. The concentration of Cd, Zn, Fe, and Ca in the digestions was detected by FAAS (flame atomic absorbance spectrometry, Shimadzu AA-6300, Kyoto, Japan). The limit for Cd, Zn, Fe, and Ca detection was 0.02 mg/L and a reference standard solution was purchased from Fisher Scientific Ltd. (China). The translocation factor was calculated as described by Li et al.91.

Malondialdehyde (MDA) determination

MDA in the roots and leaves was determined according to the method of Wang and Jin (2005) with some modifications92. Briefly, 0.2 g of fresh sample was homogenized in 6 mL 20% trichloroacetic acid (TCA) and centrifuged at 4000 r/min for 10 min at 4 °C. The mixture containing 2 mL of the supernatant and 2 mL of 0.6% thiobarbituric acid (TBA) in 10% TCA was incubated at 95 °C for 30 min and cooled immediately, then centrifuged at 4000 r/min for 5 min. The absorbance of the supernatant was recorded at 450, 532, and 600 nm. The concentration of MDA was calculated according to the following equation:

$${C}_{MDA}=6.45({A}_{532}-{A}_{600})-0.56{A}_{450}$$

Determination of four enzymatic activities

Approximately 0.5 g of fresh leaf or root sample was homogenized in 5 mL of pre-cooled 50 mmol/L Tris-HCl buffer (pH 7.0) containing 1 mmol/L EDTA, 1 mmol/L DTT, 5 mmol/L MgCl2, 1 mmol/L AsA, and 1 mmol/L GSH93. Then the homogenate was centrifuged at 12000 r/min for 20 min at 4 °C and the extract was used for the enzyme assay.

The superoxide dismutase (SOD) activity was determined according the method described earlier94. The reaction mixture consisted of 50 mmol/L Tris-HCl buffer (pH 7.8), 0.1 mmol/L EDTA, 0.1 mmol/L nitroblue tetrazolium (NBT), 13.37 mmol/L methionine, and 0.1 mmol/L riboflavin and enzyme extract. The reaction was initiated by adding the riboflavin. The mixture was first placed under light then transferred into darkness immediately and the absorbance recorded at 560 nm. One unit of SOD activity was defined as the amount of enzyme that inhibited 50% of NBT photoreduction.

The catalase (CAT) activity was assayed in a reaction mixture containing 2.9 mL 50 mmol/L Tris-HCl buffer (pH 7.0), 50 μL 750 mmol/L H2O2, and 50 μL enzyme extract as per the method of Aebi (1984)95. Activity was measured by following the decomposition of H2O2 at 240 nm.

The peroxidase (POD) activity was determined according to the guaiacol method96 with some modifications. The reaction mixture was 50 mmol/L Tris-HCl buffer (pH 7.0) containing 0.1 mmol/L EDTA, 10 mmol/L guaiacol, 5 mmol/L H2O2 and 100 μL enzyme extract. The reaction was initiated by adding the extract. Guaiacol oxidation was determined based on an increase in the absorbance at 470 nm. One unit of POD activity was expressed as units (μmol guaiacol decomposed per minute) per mg of fresh weight (FW).

The glutathione reductase (GR) activity was assayed as described by Foyer and Halliwell (1976) with some modifications97. The reaction mixture consisted of 450 μL of the enzyme extract, 2.34 mL 50 mmol/L Tris-HCl buffer (containing 0.1 mmol/L EDTA, 5 mmol/L MgCl2 pH 7.5), 60 μL 10 mmol/L NADPH and 150 μL 10 mmol/L oxidized glutathione (GSSG). The reaction was initiated by adding the extract, NADPH, and GSSG. The NADPH oxidation rate was determined by recording the decrease in absorbance at 340 nm. The GR activity was expressed as the amount of enzyme needed to oxidize 1 μmol of NADPH /min· mg FW.

Subcellular distribution of Cd in the C. bipinnatus root

Cd subcellular distribution was determined according to Su et al.84 with some modifications84. The frozen root samples (1 g) were ground into powder with a pre-cold extraction buffer [50 mmol/L Tris-HCl buffer solution (pH 7.5), 250 mmol/L sucrose, 1.0 mmol/L DTE (C4H10O2S2) and 5.0 mmol/L ascorbic acid]. The homogenate was centrifuged at 4000 r/min for 15 min and the precipitate was designated as a cell wall fraction consisting mainly of cell walls and cell wall debris. The supernatant solution was further centrifuged at 16000 r/min for 45 min. The resultant deposit and supernatant solution were designated as the organelle-containing fraction and the soluble fraction, respectively. All fractions were dried and then digested in 5 mL HNO3. The Cd concentrations in the different fractions were analyzed by FAAS.

RNA extraction

The total RNA of each root sample (CK, 40 μmol/L Cd treatment) was extracted by using the Quick RNA isolation Kit (Huayueyang Biotech Co., Ltd., Bejing, China) according to the instruction manual. RNase-free DNasel (TaKaRa Biotech Co., Ltd., Dalian, China) was used for removing residual DNA in the extracted RNA. The quality of the total RNA sample was measured by 1% agarose gels, and the concentrations of the total RNA samples were assayed with an Agilent 2011 Bioanalyzer (Agilent Technologies, Inc., Santa Clara, CA, USA).

Library construction and illumina sequencing

High-quality RNA samples from C. bipinnatus root were prepared for cDNA library construction and sequencing. The mRNA was purified from total RNA using oligo (dT) magnetic beads and poly (A) tails. The RNA sequencing libraries were generated using the TruSeq RNA sample Prep Kit (Illumina, San Diego, CA) with multiplexing primers, according to the manual. The cDNA library was constructed with average inserts of 250 bp, with non-stranded library preparation. The QIAquick PCR extraction kit (Qiagen, Inc., Hilden, Germany) was used for cDNA purifying. The short cDNA fragments were subjected to end repair, adapter ligation, and agarose gel electrophoresis filtration. Subsequently, the appropriate fragments were selected as templates for PCR amplification. Sequencing was performed via a paired-end 125 cycle rapid run on 2 lanes of the Illumina HiSeq. 2500 system, generating pairs of reads of great quality as intended.

Transcriptome assembly

Adapter-related and low-quality reads including ambiguous reads (‘N’), duplicated sequences were removed from the raw reads to obtain the clean reads. Trinity software (http://trinityrnaseq.sourceforge.net/) was used for the de novo assembled transcriptomes. In brief, the contigs were formed by combining the certain overlap length into long fragments without N (contigs) and then they were clustered using the TGICL software to produce unigines (without N) and finally the redundancies were removed to obtain non-redundant unigenes98.

Unigene functional annotation

A series of databases and software were used for putative unigenes annotations. BLAST software99 was used to align the unigene with the NR100, Swiss-Prot101, GO102, COG103, and KEGG databases104 (E-value ≤ 1E−5) to retrieve protein functional annotations based on sequence similarity. The ESTScan software was used to decide the sequence direction of the unigenes that could not be aligned to any of the above databases105. Functional categories of putative unigenes were grouped using the GO and KEGG databases.

Differential expression analysis

FPKM values were used to compare gene expression differences between the two samples. The DESeq package was used to obtain the base mean value for identifying DEGs. FDR ≤0.01 and the absolute values of log2 ratio ≥1 were set as the thresholds for the significance of the gene expression difference between the two samples.

Real-time quantitative (qRT-PCR) validation of partial DEGs

qRT-PCR was performed in a 96-well plate with the CFX-96 real-time system (Bio-Rad, CA, USA). Each reaction of 15 μL contained 6.3 μL (30 ng/μL) cDNA, 0.6 μL (4 pmol/μL) for each forward and reverse primer, and 7.5 μL iQ SYBR Green Supermix (Bio-Rad, CA, USA). Each cDNA sample was amplified in triplicates. The PCR reaction conditions were 95 °C for 5 min, 39 cycles of 95 °C for 15 s, 56 °C for 30 s, and 72 °C for 10 s, followed by the generation of a dissociation curve by increasing the temperature starting from 65 °C to 95 °C to check for the specificity of amplification. Actin was used to standardize the transcript levels in each sample. The relative expression level was calculated with the 2CT formula106. The primers that were designed and used in the RT-qPCR analyses are shown in STable 1.

Data analysis

The SPSS version 22.0 software was used for statistical analyses. The mean and standard deviation (SD) of three replicates were calculated. Duncan’s test was used to determine the significant differences between means (p < 0.05)107. Besides, the figures were drawn with Sigmaplot 12.5.