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Article

Comparative Transcriptomic Studies on a Cadmium Hyperaccumulator Viola baoshanensis and Its Non-Tolerant Counterpart V. inconspicua

1
State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China
2
School of Biosciences and Biopharmaceutics, Guangdong Province Key Laboratory for Biotechnology Drug Candidates, Guangdong Pharmaceutical University, Guangzhou 510006, China
3
Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, BGI, Shenzhen 518083, China
4
School of Life Sciences, South China Normal University, Guangzhou 510631, China
*
Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2019, 20(8), 1906; https://doi.org/10.3390/ijms20081906
Submission received: 3 March 2019 / Revised: 14 April 2019 / Accepted: 16 April 2019 / Published: 17 April 2019
(This article belongs to the Special Issue Heavy Metals Accumulation, Toxicity and Detoxification in Plants)

Abstract

:
Many Viola plants growing in mining areas exhibit high levels of cadmium (Cd) tolerance and accumulation, and thus are ideal organisms for comparative studies on molecular mechanisms of Cd hyperaccumulation. However, transcriptomic studies of hyperaccumulative plants in Violaceae are rare. Viola baoshanensis is an amazing Cd hyperaccumulator in metalliferous areas of China, whereas its relative V. inconspicua is a non-tolerant accumulator that resides at non-metalliferous sites. Here, comparative studies by transcriptome sequencing were performed to investigate the key pathways that are potentially responsible for the differential levels of Cd tolerance between these two Viola species. A cascade of genes involved in the ubiquitin proteosome system (UPS) pathway were observed to have constitutively higher transcription levels and more activation in response to Cd exposure in V. baoshanensis, implying that the enhanced degradation of misfolded proteins may lead to high resistance against Cd in this hyperaccumulator. Many genes related to sucrose metabolism, especially those involved in callose and trehalose biosynthesis, are among the most differentially expressed genes between the two Viola species, suggesting a crucial role of sucrose metabolism not only in cell wall modification through carbon supply but also in the antioxidant system as signaling molecules or antioxidants. A comparison among transcriptional patterns of some known transporters revealed that several tonoplast transporters are up-regulated in V. baoshanensis under Cd stress, suggesting more efficient compartmentalization of Cd in the vacuoles. Taken together, our findings provide valuable insight into Cd hypertolerance in V. baoshanensis, and the corresponding molecular mechanisms will be useful for future genetic engineering in phytoremediation.

1. Introduction

Cadmium (Cd) is a non-essential trace element that can cause toxic reactions in plants and can be easily transferred into vegetative cover and ultimately enter the food chain, becoming a threat to human health [1]. Therefore, Cd is considered a primary cause of soil pollution, and the control of risks related to Cd exposure has become a worldwide concern. The development of efficient phytoremediation and strategies to reduce Cd concentrations in crops are the two most promising strategies for preventing health risks from Cd contamination [2,3]. Indeed, both strategies require deep understanding of the molecular mechanisms involved in Cd absorbance, internal translocation and detoxification. A class of rare plants called hyperaccumulators, which possess extremely high tolerance and high accumulation of heavy metals, have recently evoked considerable interest as model plants for studying plant responses to heavy metal stress, and they are potential genetic resources for the development of future genetic engineering technologies [4].
To date, there have been reports of over 500 hyperaccumulators, while only a small fraction of them have been recognized as Cd hyperaccumulators with the distribution being among the Brassicaceae, Crassulaceae and Violaceae families [5,6,7,8]. Several basic physiological processes, possibly shared by most hyperaccumulators, have already been proposed for the Cd hyperaccumulation and hypertolerance, such as transporter-mediated absorbance and root-to-shoot transportation [9], sequestration of Cd chelates and Cd2+ to the vacuole or cell wall [10,11], and scavenging of reactive oxygen species (ROS) [12]. The critical role of the HMA4 gene (encoding a heavy metal ATPase) in enhanced root-to-shoot translocation within the xylem has a particularly interesting cause, which is likely a highly conserved mechanism in different hyperaccumulators across several phyla [13]. However, most current molecular biological studies focus on the most well-known Cd hyperaccumulators Arabidopsis halleri and Noccaea caerulescens from the family Brassicaceae by taking advantage of the genetic resources developed for A. thaliana [14]. It is generally accepted that most of these hyperaccumulators have independent origins [15], indicating the existence of different genetic architectures for hyperaccumulation traits among these various hyperaccumulators. Therefore, expanding the scope of taxa may provide new insights into the molecular mechanisms of the hyperaccumulation traits [13].
Previous studies have suggested that tolerance and accumulation are separated traits that are mediated by genetically and physiologically distinct mechanisms, and thus, the examined plants can be assigned into four categories: tolerant accumulators, non-tolerant accumulators, non-tolerant non-accumulators and tolerant non-accumulators [16]. Although the progression of more detailed transcriptomic descriptions of hyperaccumulators has benefited from next-generation sequencing (NGS) technologies, some notable questions are still present in the majority of comparative analyses between tolerant accumulators and non-tolerant non-accumulators. For example, comparative studies on A. halleri versus A. thaliana [17], N. caerulescens versus A. thaliana [14], and Sedum plumbizincicola versus S. alfredii [18] may have generated confusing results, since they could not clearly distinguish the genes responsible for metal tolerance versus those responsible for metal accumulation. When we compare the tolerant accumulators and non-tolerant accumulators, this misleading information can be avoided by controlling the accumulative traits by setting them as constant variables while focusing on the mechanisms responsible for differential metal tolerance. However, transcriptome-based comparative analyses between tolerant accumulators and non-tolerant accumulators are still lacking.
A large number of hyperaccumulators in Violaceae have been reported in Asian and European countries, for example, V. baoshanensis for the hyperaccumulation of Cd [19,20], V. calaminaria [20] and V. lutea [21] for zinc (Zn), and Rinorea niccolifera [22] for nickel (Ni). Previous studies on the responses of Viola species to Cd stress were mostly limited to ecological and physiological levels, and only few studies were done at the transcriptional level, while comparative analyses with closely related non-metalliferous species are lacking. V. baoshanensis, growing on Baoshan lead/zinc mines in Hunan Province of China was identified by us as both a Cd-hyperaccumulator and a strong accumulator of Pb (lead) and Zn [19,23]; whereas, interestingly, V. inconspicua from non-contaminated sites showed less tolerance to Cd than V. baoshanensis, but with similar amounts of Cd accumulation in roots and shoots. Accordingly, the striking phenotypic difference between these two Viola species provides an exceptional opportunity to elucidate the molecular mechanisms for their differential levels of Cd tolerance on the basis of controlling the Cd accumulation traits. In this study, we sequenced and compared the transcriptomes of V. baoshanensis and V. inconspicua on an Illumina sequencing platform to investigate the gene transcription patterns of these two distinct Viola species under Cd exposure. We attempted to identify candidate genes involved in the Cd detoxification regulatory networks and also tested whether those known mechanisms from Brassicaceae are conserved among Violaceae.

2. Results

2.1. Metal Accumulation and Tolerance in the Two Viola Species from Hydroponic Experiments

In order to evaluate the different capabilities for Cd accumulation and tolerance between these two Viola species, we performed hydroponic Cd stress experiments. We compared the Cd concentrations in the roots (Figure 1a) and shoots (Figure 1b) and calculated the tolerance indices (ratios of total dry biomass in the Cd treatments and controls) in the roots and shoots of the two Cd-treated Viola species (Figure 1c). Finally, we observed that the tolerance indices of V. baoshanensis from the contaminated sites were >1 in the 25 and 50 μM Cd treatments, while they were almost equal to 1 in the 100 μM Cd treatments (see Figure 1c); however, all these values were significantly higher than those in V. inconspicua samples, which were collected from the non-contaminated sites (see more details in Figure 1c). Interestingly, among the 25, 50 and 100 µM Cd treatments, V. baoshanensis took up similar levels of Cd compared with V. inconspicua in both the roots (Figure 1a) and the shoots (Figure 1b). In summary, our results indicate that the two Viola species exhibit a great difference in Cd tolerance, while they have a similar capacity to accumulate exogenous Cd.

2.2. Summary of the Data for Transcriptome Sequencing, De Novo Assembling, and Annotation

To investigate the potential molecular mechanisms of Cd hypertolerance in V. baoshanensis, we sequenced and compared the transcriptome data between V. baoshanensis and V. inconspicua under Cd stressed conditions. The roots and shoots of both Viola species were harvested from controls or 100 µM Cd treated groups (with three biological replicates), resulting in a total of 24 cDNA libraries that produced a total of 2500 million paired reads (Table S1). In order to improve the quality of the sequences, we trimmed each read by using quality scores (only those higher than 20 at the 3′-end were kept) and removed those reads with excess non-sequenced (N) bases. Subsequently, these clean reads were used separately for further de novo assembling by Trinity and TGICI (see more details in Section 4.5). As a result, a total of 105,280 transcripts (>300 bp) were assembled for V. baoshanensis and 101,616 contigs for V. inconspicua (before filtering; Table 1).
After filtering of low coverage and short ORFs (open reading frames), we obtained the final assemblies with 82,854 protein-coding transcripts for V. baoshanensis and 80,059 for V. inconspicua (Table 1). To assess the completeness of our transcriptome assemblies, we submitted the two final transcript sets to a BUSCO (Benchmarking Universal Single-Copy Orthologs) evaluation [24], which revealed that the majority of the Eudicotyledon core genes had been successfully recovered in the two assemblies (Table S2). These data indicate that our two Viola transcriptome assemblies were of high quality.
To compare inter-species differences in transcription level, we identified 19,794 putative orthologous transcripts between V. baoshanensis and V. inconspicua by the RBH method with an E-value cutoff of 1.0 × 10−10 and a coverage threshold of 50% (see more details in Section 4.5). Despite the different quality of the two Viola assemblies reflected by their N50 sizes and the BUSCO completeness assessment, the length distribution of orthologous contigs demonstrated that the orthologous transcript sets of V. baoshanensis and V. inconspicua have similar length distribution (Figure S1b) and similar contig N50 sizes (2223 versus 2067 bp). That is to say, the quality of both orthologous transcript sets is comparable across the two Viola species, suggesting the reliability of our interspecies comparison [25].
The GO (Gene Ontology), KEGG (Kyoto Encyclopedia of Genes and Genomes), and InterproScan databases were employed to annotate the two transcript sets (Table 1). A total of 49,354 (46.8%) genes were mapped to 129,359 GO terms, and 45,776 (45.1%) genes were mapped to 128,847 GO terms for V. baoshanensis and V. inconspicua, respectively. Detailed proportions of the GO annotation for individual assembly are shown in Figure 2, indicating that molecular functions, biological processes, and cellular components were well represented. By the way, we observed a high GO distribution similarity between these two Viola species (see Figure 2).
In the cellular component category, cell part (15.2% versus 16.3%) and membrane-related functions (11.5% versus 12.3%) were the most abundant. The highest proportions of the mapped GO terms for “Molecular Function” for the two Viola species were related to binning (61.2% versus 64.9%) and catalytic activity (43.3% versus 44.1%). Under the “Biological Process”, metabolic process and cellular process were the most enriched terms, comprising 22,446 (45.5%) and 18,950 (38.4 %) genes in V. baoshanensis and 21,267 (46.5%) and 18,493 (40.4%) genes in V. inconspicua, respectively. We also found that several GO terms significantly differed between these two Viola species. For example, under the “Cellular Component” category, V. baoshanensis had a higher percentage of genes in the extracellular region and the supramolecular complex (p = 0.019) when compared with V. inconspicua. In the “Molecular Function” category, we observed that genes in V. baoshanensis were significantly over-represented in terms of nutrient reservoir activity (p = 0.003), of which seed storage proteins were the main component, the seed storage proteins accumulate significantly in the developing seed, whose main function is to act as a storage reserve for nitrogen, carbon, and sulfur. while molecular transducer activity was less represented (p = 0.008) in V. baoshanensis. In the last major category, V. baoshanensis had more genes related to developmental process (p = 0.004) but less genes related to positive regulation of biological process (p = 0.004).

2.3. Analyses of Differential Expression (DE) and Functional Enrichment

After quantification of transcripts with RNA-Seq by RSEM (see more details in Section 4.6), we employed edgeR to compare the transcriptional changes between V. baoshanensis and V. inconspicua in response to Cd and also identified the differentially expressed genes (DEGs) in the two species to gain a comprehensive insight into the molecular mechanisms underlying the differences in Cd tolerance.
To determine the genes that responded to the Cd treatment in both Viola species, mRNA profiles of Cd treated and untreated (control) roots and shoots were compared (Figure 3 and Figure S2). In V. baoshanensis, a total of 5564 transcripts were determined to be DEGs (with q values < 0.01 and log2 (fold change) > 2) between the Cd treatment and the control in roots, in which 3,867 were upregulated and 1697 were downregulated in response to the Cd treatment (Figure 3e). A total of 3192 DEGs were determined in the shoots; among them, 1514 were upregulated and 1678 were downregulated respectively in response to the Cd treatment (Figure 3f). However, in V. inconspicua, a total of 8380 and 3299 differentially expressed transcripts were identified in the roots (4410 upregulated and 3970 downregulated; Figure 3g) and the shoots (1275 upregulated and 2024 downregulated; Figure 3h) in response to the Cd treatment. A Venn diagram was used to show the specific upregulated transcripts in V. baoshanensis (Figure S3). In total, 570 and 403 transcripts in the orthologous gene sets were induced differently in response to Cd between the two Viola species in roots and shoots, respectively (see detailed information in Tables S9 and S10). It seems that the two Viola species have more divergent responses in the shoot compared with the root under Cd stress, due to a noticeably smaller fraction of commonly induced transcripts in shoots than roots (9.97% versus 36.7%).
For the interspecies comparisons, read counting and DE analysis were restricted to the orthologous genes annotated in V. baoshanensis and V. inconspicua, which were identified by using the reciprocal best blast hits method. After the DE analysis, we identified 2823 and 2602 DEGs between the two species in the roots (Figure 3a,c) and the shoots (Figure 3b,d), respectively. In the Cd treated roots, 1316 and 1507 genes were upregulated in V. baoshanensis (Figure 3a) and V. inconspicua (Figure 3a), respectively. Within the Cd treated shoots, 1347 and 1255 genes were upregulated in V. baoshanensis (Figure 3b) and V. inconspicua (Figure 3b), respectively.
To determine the functional significance of these interspecies and intraspecies variances in response to Cd treatments, we implemented GO classifications and enrichment analysis for these DEGs (for more information see Figures S4 and S5). A similar pattern was observed between V. baoshanensis and V. inconspicua in response to Cd exposure (Figure S5); the overrepresented GO terms of the two phenotypes presented a significant overlap for shoots (Figure S5c,d), and the genes related to antioxidant metabolism (such as reactive oxygen species metabolic process and antibiotic metabolic process) were enriched in both species (Figure S5c). However, genes related to metal internal translocation (such as divalent metal ion transport, inorganic ion transmembrane transport, metal ion transmembrane transporter activity, and divalent inorganic cation transmembrane transporter activity) were enriched specifically in V. baoshanensis (Figure S5c,d).
For the roots in V. baoshanensis, the most representative categories were regulation of cellular biosynthetic processes, sulfur metabolism-related GO terms (including sulfate transport and sulfate reduction) and ubiquitin-related GO terms (such as ubiquitin-protein transferase activity and ubiquitin-like protein transferase activity; Figure S5b). However, we noted that the ubiquitin related GO terms is not enriched in V. inconspicua roots (Figure S5b), suggesting that these genes may be related to the differential Cd tolerance between the two Viola species.
Interestingly, for the interspecies comparisons (Figure S4), we observed that DEGs with higher transcription levels in V. baoshanensis roots than in V. inconspicua roots were overrepresented by oxidation–reduction processes, tetrapyrrole binding, and transition metal ion transmembrane transporter activity (Figure S4c). In V. baoshanensis shoots, however, upregulated DEGs were enriched by microtubule motor activity, heme binding, antioxidant activity, and structural constituents of the cell wall (Figure S4d).

2.4. Ubiquitin Proteosome System (UPS) Pathway-Related Genes: Response to Cd Stress

The GO enrichment analysis showed that ubiquitin-protein transferase activity was specifically and significantly enriched in V. baoshanensis (Figure S5b), suggesting that the UPS pathway (Figure 4) may play important roles in the differential Cd tolerance between the two Viola species. These DEGs in the UPS pathway were further compared between the two phenotypes (Figure 4; Tables S3, S4 and S11). Interestingly, we identified differential expression of transcripts at almost all steps of this pathway (Figure 4), and V. baoshanensis apparently has more upregulated genes than V. inconspicua for responding to the Cd stress (Tables S3 and S4). Totals of 125 and 36 UPS-related genes were upregulated by Cd in V. baoshanensis roots and shoots, respectively; however, fewer upregulated DEGs were observed in V. inconspicua roots and shoots, especially regarding the Fbox and Ubox E3 ligase gene families (see more details in Table S11).
For the interspecies comparisons, we observed that 88 UPS-related genes had significantly higher transcription levels in V. baoshanensis compared with V. inconspicua, including 5 in the E2 gene family, 27 in the Fbox gene family, 2 in the HECT gene family, 42 in the RING gene family, 8 in the Ubox gene family, and 4 in the proteasome gene family (Tables S3 and S11). Interestingly, significantly fewer UPS-related genes were transcribed at significantly higher rates in V. inconspicua than in V. baoshanensis (Table S4).

2.5. DEGs Involved in Sucrose Metabolism

Our KEGG enrichment analysis demonstrated that the constitutive DEGs in V. baoshanensis were enriched in the sucrose metabolism pathway (Figure 5a) in both roots and shoots (Figures S6 and S7), implying that this important pathway may be responsible in part for the phenotypic difference between the two Viola species. For the interspecies comparisons, we found that a total of 40 genes, encoding 19 enzymes in the starch and sucrose metabolism pathway, presented higher transcription levels in V. baoshanensis than V. inconspicua (see more details in Tables S5 and S6).
Nine genes encode 1,3-beta-glucan synthases (key enzymes for callose biosynthesis), and none of the members of this gene family had a higher transcription level in V. inconspicua (Figure 5; Tables S5 and S6). For a comparison in the Cd treated samples and controls, many genes were upregulated in response to Cd stress in the roots (41 versus 50) and shoots (22 versus 33) of V. baoshanensis and V. inconspicua, respectively (see more details in Table S12), suggesting a common activation of the sucrose metabolism pathway by Cd in both Viola species.

2.6. DEGs Encoding Metal Transporter Proteins

Metal transporters have been widely regarded as the critical components in hyperaccumulators due to their Cd accumulation, root-to-shoot transportation and internal sequestration [26]. Among the known 10 transporter families, 43 transcripts (24 ABCs, 2 MTPs, 1 CTR, 6 HIPPs, 2 HMAs, and 1 MATE, 1 NRAMP, and 5 ZIPs; see Figure 6) were identified as orthologous DEGs with constitutively higher transcription levels in V. baoshanensis; meanwhile, less transcripts from these transporter families (especially in ZIPs, ABCs, and HMAs) showed constitutively higher transcription levels in V. inconspicua (Tables S7 and S8).
Within the 24 ABC DEGs, 12, 6, 5, and 1 belong to the ABCG, ABCC, ABCB, and ABCA subfamilies respectively. Two HMA genes, HMA4 and HMA5, were shown to be transcribed at higher levels in V. baoshanensis; in particular, the HMA4 gene presented a ~100-fold higher level in V. baoshanensis than in V. inconspicua in both the Cd treated and control samples (Figure 6b; Table S13). For the comparisons between the Cd treated and control samples, 14 genes encoding ZIP proteins were upregulated in V. baoshanensis shoots in response to the Cd stress, while only 2 were upregulated in V. inconspicua shoots (Figure 6b; Table S13). On the other hand, we also found that several genes related to the YSL family and CaCA family were more activated in V. inconspicua (Figure 6c; Table S13). Our findings may reveal the distinct strategies in V. baoshanensis and V. inconspicua for Cd transportation and sequestration as a consequence of different surroundings.

3. Discussion

Despite the consecutive reporting of hyperaccumulators in Violaceae, progress in understanding the hypertolerance abilities of metallicolous plants in this class has been limited to metal mobilizing in cells at a physiological level [21], while transcriptome-level studies are rare. Here, we compared the transcriptomes of two Viola species, a tolerant hyperaccumulator V. baoshanensis and a non-tolerant accumulator V. inconspicua, from metalliferous and nonmetalliferous sites respectively. Several key pathways are proposed as being associated with their differential Cd tolerance.

3.1. How Does the UPS Pathway Enhance Heavy-metal Resistance in Plants?

As shown in Figure 3, a cascade of genes involved in the UPS pathway displayed constitutively higher transcription levels and greater activation in response to Cd stress in V. baoshanensis than in V. inconspicua. In plants, the UPS pathway acts through the sequential actions of a cascade of enzymes (see more details in Figure 4) to add multiple copies of the protein ubiquitin (ub) to a substrate protein that is then targeted for degradation by the 26S proteasome [27]. Both transcriptome and proteome studies in various plant species have shown that UPS pathway related genes can be activated by heavy metals, such as Cd, Cu (copper), Hg (mercury), and Pb. For instance, the ubiquitin-dependent proteolysis pathway in yeast was activated in response to Cd exposure [28], and the polyubiquitin genes in common bean and rice were strongly stimulated by Hg [29] and low concentrations of Cd [30] respectively.
However, there are two distinct theories to explain how the overexpression of genes in the UPS cascade enhances the tolerance of heavy metals. The first one focuses on the UPS pathway, since it is a rapid and effective method for precise degradation of misfolded proteins that are induced by heavy metal ions [31,32,33]. Previous studies demonstrated that heavy metal ions inhibit the refolding of chemically denatured proteins in vitro, obstruct protein folding in vivo, and stimulate the aggregation of nascent proteins in living cells [34]. Together with evidences that yeast mutants in the proteasome are hypersensitive to Cd, it was suggested that heavy metal tolerance can be mediated by degradation of abnormal proteins [28]. Another theory depends on the ubiquitination process, which may indirectly mediate the tolerance of heavy metals by the regulation of heavy metal transporters [35,36,37]. For example, rice OsHIR1 E3 ligase protein is able to control metal uptake through regulation of the OsTIP4-1 protein via ubiquitination [36]. In the present study, for the first time, we found that the UPS pathway related genes have constitutively higher transcription levels in tolerant hyperaccumulators than closely related non-tolerant accumulator species in both roots and shoots; however, it is hard to infer which theory or whether both of them may mediate the Cd hypertolerance in V. baoshanensis. The detailed mechanisms are worthy of in-depth investigation. Moreover, it seems that the effects of the UPS pathway on heavy metal stress may not be generalized, since the UPS system can be applied to develop biotechnological tools not only to reduce metal concentrations for food safety but also to strengthen metal accumulations for phytoremediation [37].

3.2. Relations of Sucrose Metabolism with Heavy-Metal Stress in Plants

Sucrose and starch metabolism play pivotal roles in development, the stress response and synthesis of essential components (including proteins, cellulose, and starch) in higher plants [38]. For example, the addition of dialdehyde starch derivatives in heavy metal-contaminated soils limited the negative impact of these metals both in terms of yield and heavy metal content in maize [39]. In this study, we observed a significant difference in transcription levels at almost all steps of sucrose and starch metabolism (Figure 5a) between V. baoshanensis and V. inconspicua (Figure 5b). These data are consistent with previous descriptions of the transcriptome in response to heavy metal stress in other phyla [40,41,42]; however, detailed descriptions and discussion of this pathway are still limited.
Hexokinases (HXKs) and fructokinases (FRKs) are two families of enzymes with the capacity to catalyze the essential irreversible phosphorylation of glucose and fructose, and therefore, they may play central roles in the regulation of plant sugar metabolism. It has been suggested that in vivo, HXKs probably mainly phosphorylate glucose, whereas fructose is phosphorylated primarily by FRKs [43]. Interestingly, 2 HXKs homologous to Arabidopsis HXK1 were found to have constitutively higher transcription levels in V. baoshanensis than in V. inconspicua, while 2 FRKs homologous to Arabidopsis FRK1 and FRK2 were constitutively higher in V. inconspicua. A previous study has shown that the reduction of FRK2 activity in aspen (Populus tremula) led to thinner fiber cell walls with a reduction in the proportion of cellulose by decreased carbon flux to cell wall polysaccharide precursors [44], indicating that the cell wall biosynthesis may be repressed in V. baoshanensis by low expression of FRK and thus may reduce the capacity of cell walls to act as barriers against Cd translocation. HXKs have been demonstrated to play potential roles in the uptake of Zn in roots, since the HXK-dependent transporter ZIP11 is unrelated to sugar sensing but may be related to sugar metabolism downstream of HXK [45]. These findings are in accordance with our present observation that ZIP11 transcribed with significantly higher levels in V. baoshanensis roots than in V. inconspicua roots under Cd stress.
Uridine diphosphate glucose (UDP-Glc), one product of the sucrose cleavage reactions, is the substrate for biosynthesis of callose, which is associated with the plasma membrane. In this study, we found that V. baoshanensis had constitutively higher transcription levels of two related enzymes, callose synthases (β-1,3-glucan synthases) and β-1,3-glucanases, which can produce and break down callose respectively [46]. Of the 8 upregulated genes encoding callose synthases and the 2 genes encoding glucan 1,3-beta-glucosidase in V. baoshanensis, 7 CALSs (2 CALS10, 2 CALS7, CALS5, CAL3, and CLA9) and 2 pdBG1s have been reported to localize in the plasmodesmata and to regulate callose and plasmodesmatal permeability [47,48,49], suggesting an alteration of the plasmodesmatal permeability between the two Viola species. With the evidence that accumulation of callose accompanies a reduction in plasmodesmatal permeability leading to reduced growth and depletion of the stem cell population [50], the decreased callose levels in response to heavy-metal stress may buffer the negative effects on primary root growth, and thus to increase heavy metal trafficking through the plasmodesamata [51] and subsequently, increase resistance to heavy metals [52]. Hence, we speculate that V. baoshanensis may have decreased the plasmodesmatal permeability to a greater extent than V. inconspicua, thereby enhancing Cd tolerance.
In addition to cell wall modification, which is regulated by sucrose metabolism through the carbon supply, sugars also play protective functions against various abiotic stresses in several physiological processes by acting as signaling molecules in plants [53,54]. Six genes, encoding trehalose-6-phosphate phosphatase (TPP) and trehalose-6-phosphate synthase (TPS), which are involved in trehalose biosynthesis in the sucrose metabolism pathway, were found to have significantly elevated transcription levels in V. baoshanensis, implying that trehalose-6-phosphate (T6P) and trehalose may play significant roles in the phenotypic difference in Cd tolerance between the two Viola species. Several previous studies support this hypothesis. For instance, enhanced endogenous trehalose levels in rice seedlings significantly mitigated the toxic effects of excessive Cu2+ by inhibiting Cu uptake and regulating the antioxidant and glyoxalase systems [55]. Another case is that overexpression of Arabidopsis trehalose-6-phosphate synthase in tobacco plants (AtTPS1) was shown to lead to better acclimation to Cd and excess Cu than in the wild-type [56]. Regarding the mechanisms involved in the use of trehalose biosynthesis to mediate responses to heavy metals, the production of antioxidants or antioxidant enzymes to alleviate excessive heavy metals has been proven to be induced by trehalose-6-phosphate [53,55,56,57]. In line with our expectations, several genes with significantly higher transcription levels in V. baoshanensis were enriched in the GO term of peroxidase activity. Moreover, trehalose can act directly as an antioxidant on excess ROS [58]. Interestingly, the effects of trehalose on heavy metal uptake seem to be contradictory. Reduced Cu uptake was reported in rice seedlings with trehalose treatment [55], while higher transcription levels of AtTPS1 in tobacco resulted in more Cd and Cu accumulation than in a transgenic line [56].

3.3. Contributions of Transporter Proteins to Heavy Metal Tolerance in Plants

It is well known that the enhancement of transporters for essential elements (such as Fe2+, Zn2+, and Ca2+) may be involved in non-essential metal uptake and transport in hyperaccumulators [59]. To test whether these mechanisms of heavy metal hyperaccumulation are conserved in the Viola phyla, we identified and compared several related gene families between the two Viola transcriptome sets. ZIP family genes are the most important Zn/Fe plasma membrane transporters, and in this study 5 ZIP transporters (ZIP1, 3, 4, 5, and 11) displayed higher levels of transcription in V. baoshanensis than in V. inconspicua. Previous studies have shown that ZIP4 is necessary for the enhanced accumulation of metal ions, and the metal accumulating capacity correlates with higher expression levels of ZIP4 in a known hyperaccumulator N. caerulescens [60].
P1B-type ATPases (heavy metal transporting ATPases, HMAs) have been shown to be involved in root-to-shoot long-distance transportation of heavy metals. In particular, HMA4 is responsible for efficient xylem loading of Cd, and it has been regarded as a key gene for Zn/Cd accumulation in shoots by overexpression in a hyperaccumulator [61]. We found that transcription levels of the HMA4 gene in V. baoshanensis can reach ~100 fold higher than in V. inconspicua, although both Viola species can accumulate high levels of Cd in the aboveground parts. Thus, we propose that the HMA4 protein may have other functions besides its role in root-to-shoot metal transportation.
We also observed a member of the Nramp family (Nramp1) with constitutively higher transcription levels in V. baoshanensis, which was reported to be involved in the influx of Cd across endodermal plasma membrane for root-to-shoot transportation [62]. Although V. baoshanensis and V. inconspicua have similar abilities to accumulate Cd, we still observed contrasting transcriptional patterns of transporters in relation to metal uptake and root-to-shoot transport, suggesting that the movement of metals from roots to shoots in the two Viola species may be regulated by different pathways.
Different from the transporters responsible for heavy metal uptake and root-to-shoot transport, tonoplast transporters usually sequester heavy metals in leaf cellular vacuoles with a central role in the heavy metal homeostasis of plants [63]. Several vacuolar transporters, such as MTP3 and COPT5 (using divalent heavy-metal irons as substrates) and 25 ABC transporters (using the heavy metal–phytochelatin (HM-PC) complex as the substrate) were found to have higher transcription levels in V. baoshanensis than in V. inconspicua, implying that the enhancement of vacuolar compartmenta-lization in V. baoshanensis may have contributed to its higher Cd tolerance than V. inconspicua.
However, our comparative transcriptome analysis showed constitutively higher transcription levels and more activation of the CaCA gene family and YSL gene family (8 genes homologs to AtYSL3 and 2 genes homologs to AtYSL1), suggesting that they were induced by Cd stress in V. inconspicua, especially in the roots. The YSL gene family encodes plasma-localized transporters to deliver various heavy metal–nicotianamine (HM–NA) complexes containing Fe(II), Cu, Zn, and Cd, and YSL3 has been received extensive attention as it may be responsible for internal metal transport in hyperaccumulators in response to metal stress. Nevertheless, the function of YSL3 may not be conserved across various phyla. Overexpression of TcYSL3 and SnYSL3 from the hyperaccumulators N. caerulescens and Solanum nigrum has been reported to function in metal hyperaccumulation in shoots [41,64], while high expression of AhYSL3.1 from peanut and rice plants with excess Cu, resulted in a low concentration of Cu in young leaves [65], implying a potential capacity of YSL3 to reduce metal toxicity by metal efflux. The contradictory expression patterns of HM-NA transporter YSL genes and HM-PC transporter ABC genes in the two Viola species may represent two distinct evolutionary lines. We suggest that high expression of MTP, CTR, and ABC genes may enhance vacuolar mobilization in both root and shoot cells to support V. baoshanensis with a greater Cd tolerance.

4. Materials and Methods

4.1. Collection of Plant Samples

Two Viola species were investigated in this study. V. baoshanensis was collected from anthropogenically contaminated soils from local Baoshan Pb/Zn mines in Guiyang City, Hunan Provinces China, whereas V. inconspicua was collected from non-metalliferous sites in Guangzhou City, Guangdong Provinces China.

4.2. Hydroponic Experiments

For hydroponic experiments, tissue-cultured seedlings of V. baoshanensis were prepared as described in our previous report [66]. V. inconspicua seedlings were collected from natural soils at Sun Yat-Sen University (Guangzhou, China). These seedlings were subsequently cultured in 0.1-strength Hoagland solutions [67]. After 4 weeks of growth, various amounts of Cd were added into the culturing solutions, which were refreshed at 2-day intervals. In the Cd treatments, Cd was supplied as CdCl2 at concentrations of 25, 50, or 100 µM; meanwhile, the treatment without Cd addition was regarded as the control (CK). The hydroponic experiments were conducted at 25 °C with an illumination of LD 16/8 in a glasshouse. The root and shoot samples for transcriptome sequencing (RNA-seq, 100 µM Cd) and the Cd elemental analysis were harvested after one month of the Cd exposure tests. A schematic diagram of the experimental design is summarized in Figure 7. The Cd tolerance indices of V. baoshanensis and V. inconspicua were calculated as the ratios of the total dray biomass in the Cd treatment and the control.

4.3. Elemental Analysis of the Hydroponic Samples

The plants collected from the hydroponic experiments were digested with a mixture of concentrated HNO3 and HClO4 at 5:1 (v/v) [68]. The concentrations of Cd in plant samples were measured by an Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES) (PerkinElmer, Shelton, CT, USA). Quality control was performed using standard reference materials (GBW 07604) purchased from the China Standard Materials Research Center and including blanks in the digestion batches. The recovery rates for all samples were around 90 ± 10%.

4.4. RNA Extraction and cDNA Library Preparation

Total RNA was isolated using a HiPure Plant RNA mini kit (Magen, Guangzhou, China). The concentrations and integrity of the isolated RNA samples were evaluated by 1.2% agarose gel electrophoresis and ultraviolet spectrophotometry before cDNA synthesis. The poly(A) RNA was enriched from 2 μg of total RNA using magnetic oligo (dT) beads. The harvested poly(A) RNA samples were fragmented into small pieces using divalent cations under 94 °C for 8 min. cDNA synthesis was performed using the Illumina TruSeq RNA Sample Preparation v2 Kit (Illumina Inc, San Diego, CA, USA). The cleaved RNA fragments were converted into first-strand cDNA using reverse transcriptase and random primers. Second-strand cDNA synthesis was conducted using DNA Polymerase I and RNase H. The synthesized short cDNA fragments were further processed by end repair, adapter ligation, and agarose gel separation. Finally, the correct-sized fragments were selected as templates for PCR amplification with the sequencing primer pairs.

4.5. Transcriptome Sequencing, Assembling, and Annotation

Paired-end sequencing (2 × 150 bp) was performed on the Illumina HiSeq2000 sequencing platform at a sequencing depth of 30–50 million reads per library. Preprocessing of those raw short reads by custom script for quality control included the following three steps: (1) elimination of reads with adapter contamination; (2) removal of reads with excess of non-sequenced bases (N; >5% of each read); (3) trimming of low-quality reads (quality value < 20 at the 3′-ends). Quality control of both raw and processed reads was performed with customized Perl scripts. The Transcriptome Shotgun Sequencing project has been deposited at NCBI Sequence Read Archive under the accession number PRJNA524759.
Given the lack of an available reference genome, we subjected the filtered reads to de novo assembling using Trinity [69] with default parameters. Two reference transcriptomes were produced from V. baoshanensis and V. inconspicua, respectively, by assembling the reads across all tissues (roots and shoots) and the biological replicates obtained from the constructed libraries. To obtain sets of non-redundant transcripts, TGICL-2.1 [70] was employed to reassemble highly similar transcripts with an identity threshold of 0.94. Subsequently, we applied TransDecoder (https://transdecoder. github.io/) to the ORFs for each transcript and removed those transcripts with short ORFs (<100 bp in length) and low transcription (average Transcripts Per Million bases (TPM) < 1). To provide comprehensive descriptions of the final transcript sets, we employed several public databases including Swissprot/Uniprot [71], KEGG (Kyoto Encyclopedia of Genes and Genomes) and InterproScan [72] to annotate these unigenes. We used WEGO [73] to visualize and compare the GO (Gene Ontology) annotation results of V. baoshanensis and V. inconspicua. Based on the WEGO manual, the Chi-square test of independence was applied to determine whether there were significant differences in the frequencies of genes within GO terms between the two species.

4.6. Differential Expression and Statistical Analysis

Paired-end reads from each library were individually mapped to their respective transcriptome assemblies using Bowtie2 [74]. RSEM [75] was used to estimate the transcription and raw counts of each transcript. For intra-species comparisons, all expressed transcripts were used for differential expression analysis between Cd-treated samples and control samples. For interspecies comparisons, in order to directly compare the transcription levels between V. baoshanensis and V. inconspicua, the differential expression analysis was narrowed down to only those constitutive transcripts that were orthologously presented in the two species. We identified orthologous genes between the two transcriptome assemblies by reciprocal best hits (RBH) BLAST [76]. Differential expression analysis was realized using the Bioconductor package edgeR [77] with parameters (minimum fold change = 4, p-value cutoff = 0.01 after FDR correction). The differentially expressed transcripts were then subjected to enrichment analyses, using GOeast [78] for GO enrichment and clusterProfile [79] for KEGG enrichment. We used the entire transcript annotation as the background set when conducting the DEG functional enrichment analysis, which resulted from intraspecies comparisons. For interspecies comparisons, however, we used annotations of orthologous genes as a background set for DEG functional enrichments analysis. The significance was assessed using a hypergeometric test with FDR p-value correction (p < 0.05). Comparisons of the Cd accumulation in tissues and the tolerance indices between V. baoshanensis and V. inconspicua were performed using the statistical package SPSS 13.0 for Windows (IBM, Armonk, NY, USA). The data were examined using one-way ANOVA, followed by multiple comparisons using the least significant difference (LSD) test. The level of significance was set at p < 0.05 (two-tailed).

5. Conclusions

In summary, we sequenced and assembled high-quality transcriptomes for the Cd hyperaccumulator V. baoshanensis and its non-tolerant counterpart V. inconspicua, with an important contribution to the accumulation of the genetic resources of hyperaccumulators with more diverse taxa. Furthermore, intraspecies and interspecies differential expression genes and related functional enrichments were revealed by comparative analyses. Our results suggest an integrated strategy of Cd detoxification, mediated by UPS-dependent proteolysis, sucrose metabolism and vacuolar mobilization, as being responsible for the Cd hypertolerance of V. baoshanensis. The transcriptomic data presented in this study also provide genetic support for deep investigations on the conservation of these candidate genes and pathways in other plants.

Supplementary Materials

Supplementary materials can be found online at https://www.mdpi.com/1422-0067/20/8/1906/s1. Table S1. Statistics of the transcriptome sequencing data. Table S2. Summary of the BUSCO evaluation. Table S3. Statistics of upregulated DEGs in the UPS pathway. Table S4. Statistics of downregulated DEGs in the UPS pathway. Table S5. Statistics of upregulated DEGs in the sucrose metabolism pathway. Table S6. Statistics of downregulated DEGs in the sucrose metabolism pathway. Table S7. Statistics of upregulated DEGs encoding transporters. Table S8. Statistics of downregulated DEGs encoding transporters. Table S9. V. baoshanensis specific upregulated transcripts in roots in response to Cd stress. Table S10. V. baoshanensis specific upregulated transcripts in shoots in response to Cd stress. Table S11. Fold changes of DEGs involved in the UPS pathway between V. baoshanesis and V. inconspicua. Table S12. Fold changes of DEGs involved in sucrose metabolism between V. baoshanesis and V. inconspicua. Table S13. Fold changes of DEGs encoding transporters between V. baoshanesis and V. inconspicua. Table S14. Detailed proportions of GO terms in V. baoshanensis and V. inconspicua. Figure S1. Length distribution of entire transcripts and orthologous transcripts in V. baoshanensis and V. inconspicua. Figure S2. Volcano plots of gene transcription-level changes in the two Viola species with different Cd treatments (from 0 µM to 100 µM). Figure S3. A Venn diagram of specific and common up-regulated transcripts in V. baoshanensis and V. inconspicua in response to Cd stress. Figure S4. Summary of significantly upregulated genes in V. baoshanensis compared with V. inconspicua. Figure S5. GO enrichment of upregulated DEGs in V. baoshanensis and V. inconspicua. Figure S6. KEGG enrichment of upregulated DEGs in roots and shoots of V. baoshanensis compared with V. inconspicua. Figure S7. KEGG enrichment of up-regulated DEGs in V. baoshanensis and V. inconspicua.

Author Contributions

B.L., Q.S. and W.S. designed the project; F.L., W.L., Z.L. and J.L. (Jiaqi Liang) performed the experiments; H.S., C.B. and J.L. (Jieliang Liang) analyzed the data; H.S. prepared the manuscript; B.L., Q.S., J.Z. and J.L. (Jintian Li) revised the manuscript.

Funding

The research was supported by National Natural Science Foundation of China (Nos. 31570506, 41622106, 31570500 and U1501232) and Natural Science Foundation of Guangdong Province (No. 2016A030312003).

Acknowledgments

We thank Guangdong Magigene Biotechnology Co. Ltd. (Guangzhou, China) for assistance in transcriptome sequencing and data analysis.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

ABCATP-binding cassette transporters
AMYalpha-amylase
bglXbeta-glucosidase
BUSCOBenchmarking Universal Single-Copy Orthologs
Cdcadmium
CaCAthe Ca2+: cation antiporter Family
CESAcellulose synthase
CTRthe Copper transporter family
DEGdifferential expression gene
FRKfructokinase
GOGene Ontology
GYG1glycogenin
HMAheavy metal ATPase
HIPPheavy metal-associated isoprenylated plant protein
HXKhexokinase
INVbeta-fructofuranosidase
KEGGKyoto Encyclopedia of Genes and Genomes
malZalpha-glucosidase
MATEmulti-antimicrobial extrusion protein
MTPmetal tolerance protein
Ninickel
Nrampnatural resistance-associated macrophage protein
OMorganic matter
Pblead
SPPsucrose-6-phosphatase
SPSsucrose-phosphate synthase
TPPtrehalose 6-phosphate phosphatase
TPStrehalose 6-phosphate synthase
TREHalpha, alpha-trehalase
UPSubiquitin proteosome system
YSLyellow stripe-like family
ZIPthe Zinc/Iron permease family
Znzinc

References

  1. Buha, A.; Matovic, V.; Antonijevic, B.; Bulat, Z.; Curcic, M.; Renieri, E.; Tsatsakis, A.; Schweitzer, A.; Wallace, D. Overview of cadmium thyroid disrupting effects and mechanisms. Int. J. Mol. Sci. 2018, 19, 1501. [Google Scholar] [CrossRef] [PubMed]
  2. Clemens, S.; Aarts, M.G.; Thomine, S.; Verbruggen, N. Plant science: The key to preventing slow cadmium poisoning. Trends Plant Sci. 2013, 18, 92–99. [Google Scholar] [CrossRef] [PubMed]
  3. Ali, H.; Khan, E.; Sajad, M.A. Phytoremediation of heavy metals-Concepts and applications. Chemosphere 2013, 91, 869–881. [Google Scholar] [CrossRef] [PubMed]
  4. Rascio, N.; Navari-Izzo, F. Heavy metal hyperaccumulating plants: How and why do they do it? And what makes them so interesting? Plant Sci. 2011, 180, 169–181. [Google Scholar] [CrossRef] [PubMed]
  5. Nathalie, V.; Christian, H.; Henk, S. Molecular mechanisms of metal hyperaccumulation in plants. New Phytol. 2009, 181, 759–776. [Google Scholar] [CrossRef]
  6. Krämer, U. Metal Hyperaccumulation in Plants. Annu. Rev. Plant Biol. 2010, 61, 517–534. [Google Scholar] [CrossRef] [PubMed]
  7. Li, J.T.; Gurajala, H.K.; Wu, L.; Antony, V.D.E.; Qiu, R.L.; Baker, A.J.M.; Tang, Y.T.; Yang, X.; Shu, W. Hyperaccumulator plants from China: A synthesis of the current state of knowledge. Environ. Sci. Technol. 2018, 52, 11980–11994. [Google Scholar] [CrossRef]
  8. Kusznierewicz, B.; Bączek-Kwinta, R.; Bartoszek, A.; Piekarska, A.; Huk, A.; Manikowska, A.; Antonkiewicz, J.; Namieśnik, J.; Konieczka, P. The dose-dependent influence of zinc and cadmium contamination of soil on their uptake and glucosinolate content in white cabbage (Brassica oleracea var. capitata f. alba). Environ. Toxicol. Chem. 2012, 31, 2482–2489. [Google Scholar] [CrossRef]
  9. Shahid, M.; Dumat, C.; Khalid, S.; Schreck, E.; Xiong, T.; Niazi, N.K. Foliar heavy metal uptake, toxicity and detoxification in plants: A comparison of foliar and root metal uptake. J. Hazard Mater. 2016, 325, 36–58. [Google Scholar] [CrossRef]
  10. Cobbett, C.S. Phytochelatins and their roles in heavy metal detoxification. Plant Physiol. 2000, 123, 825–832. [Google Scholar] [CrossRef] [PubMed]
  11. Luigi, P.; Gea, G.; Kjell, S.; Giampiero, C.; Jean-Francois, H. Target or barrier? The cell wall of early- and later-diverging plants vs cadmium toxicity: Differences in the response mechanisms. Front. Plant Sci. 2015, 6, 133. [Google Scholar] [CrossRef]
  12. Hossain, M.A.; Piyatida, P.; da Silva, J.A.T.; Fujita, M. Molecular mechanism of heavy metal toxicity and tolerance in plants: Central role of glutathione in detoxification of reactive oxygen species and methylglyoxal and in heavy metal chelation. J. Bot. 2012, 2012, 872875. [Google Scholar] [CrossRef]
  13. Verbruggen, N.; Hanikenne, M.; Clemens, S. A more complete picture of metal hyperaccumulation through next-generation sequencing technologies. Front. Plant Sci. 2013, 4, 388. [Google Scholar] [CrossRef] [PubMed]
  14. Halimaa, P.; Blande, D.; Aarts, M.G.; Tuomainen, M.; Tervahauta, A.; Karenlampi, S. Comparative transcriptome analysis of the metal hyperaccumulator Noccaea caerulescens. Front. Plant Sci. 2014, 5, 213. [Google Scholar] [CrossRef]
  15. Cappa, J.J.; Pilon-Smits, E.A.H. Evolutionary aspects of elemental hyperaccumulation. Planta 2014, 239, 267–275. [Google Scholar] [CrossRef]
  16. Goolsby, E.W.; Mason, C.M. Toward a more physiologically and evolutionarily relevant definition of metal hyperaccumulation in plants. Front. Plant Sci. 2015, 6, 33. [Google Scholar] [CrossRef]
  17. Weber, M.; Trampczynska, A.; Clemens, S. Comparative transcriptome analysis of toxic metal responses in Arabidopsis thaliana and the Cd(2+)-hypertolerant facultative metallophyte Arabidopsis halleri. Plant Cell Environ. 2010, 29, 950–963. [Google Scholar] [CrossRef]
  18. Peng, J.-S.; Wang, Y.-J.; Ding, G.; Ma, H.-L.; Zhang, Y.-J.; Gong, J.-M. A pivotal role of cell wall in cadmium accumulation in the Crassulaceae hyperaccumulator Sedum plumbizincicola. Mol. Plant 2017, 10, 771–774. [Google Scholar] [CrossRef] [PubMed]
  19. Liu, W.; Shu, W.; Lan, C. Viola baoshanensis, a plant that hyperaccumulates cadmium. Chin. Sci. Bull. 2004, 49, 29–32. [Google Scholar] [CrossRef]
  20. Tonin, C.; Vandenkoornhuyse, P.; Joner, E.J.; Straczek, J.; Leyval, C. Assessment of arbuscular mycorrhizal fungi diversity in the rhizosphere of Viola calaminaria and effect of these fungi on heavy metal uptake by clover. Mycorrhiza 2001, 10, 161–168. [Google Scholar] [CrossRef]
  21. Sychta, K.; Słomka, A.; Suski, S.; Fiedor, E.; Gregoraszczuk, E.; Kuta, E. Suspended cells of metallicolous and nonmetallicolous Viola species tolerate, accumulate and detoxify zinc and lead. Plant Physiol. Biochem. 2018, 132, 666–674. [Google Scholar] [CrossRef] [PubMed]
  22. Fernando, E.S.; Quimado, M.O.; Doronila, A.I. Rinorea niccolifera (Violaceae), a new, nickel-hyperaccumulating species from Luzon Island, Philippines. PhytoKeys 2014, 37, 1–13. [Google Scholar] [CrossRef] [PubMed]
  23. Wu, C.A.; Liao, B.; Wang, S.L.; Zhang, J.; Li, J.T. Pb and Zn accumulation in a Cd-hyperaccumulator (Viola baoshanensis). Int. J. Phytoremediat. 2010, 12, 574–585. [Google Scholar] [CrossRef]
  24. Simão, F.A.; Waterhouse, R.M.; Ioannidis, P.; Kriventseva, E.V.; Zdobnov, E.M. BUSCO: Assessing genome assembly and annotation completeness with single-copy orthologs. Bioinformatics 2015, 31, 3210–3212. [Google Scholar] [CrossRef]
  25. Parekh, S.; Vieth, B.; Ziegenhain, C.; Enard, W.; Hellmann, I. Strategies for quantitative RNA-seq analyses among closely related species. bioRxiv 2018, 297408. [Google Scholar] [CrossRef]
  26. Song, Y.; Jin, L.; Wang, X. Cadmium absorption and transportation pathways in plants. Int. J. Phytoremediat. 2017, 19, 133–141. [Google Scholar] [CrossRef] [PubMed]
  27. Ari, S.; Mark, B.; Richard, E.; Jack, L.; Stuart, N. The ubiquitin-proteasome system: Central modifier of plant signalling. New Phytol. 2012, 196, 13–28. [Google Scholar] [CrossRef]
  28. Jungmann, J.; Reins, H.A.; Schobert, C.; Jentsch, S. Resistance to cadmium mediated by ubiquitin-dependent proteolysis. Nature 1993, 361, 369. [Google Scholar] [CrossRef]
  29. Chai, T.Y.; Zhang, Y.X. Expression analysis of polyubiquitin genes from bean in response to heavy metals. Acta Bot. Sin. 1999, 41, 1052–1057. [Google Scholar]
  30. Oono, Y.; Yazawa, T.; Kanamori, H.; Sasaki, H.; Mori, S.; Handa, H.; Matsumoto, T. Genome-Wide Transcriptome Analysis of Cadmium Stress in Rice. BioMed Res. Int. 2016, 2016, 1–9. [Google Scholar] [CrossRef]
  31. Flick, K.; Kaiser, P. Protein degradation and the stress response. Cell Dev. Biol. 2012, 23, 515–522. [Google Scholar] [CrossRef] [PubMed]
  32. Amm, I.; Sommer, T.; Wolf, D.H. Protein quality control and elimination of protein waste: The role of the ubiquitin-proteasome system. BBA-Mol. Cell. Res. 2014, 1843, 182–196. [Google Scholar] [CrossRef]
  33. Hasan, M.K.; Cheng, Y.; Kanwar, M.K.; Chu, X.Y.; Ahammed, G.J.; Qi, Z.Y. Responses of Plant Proteins to Heavy Metal Stress—A Review. Front. Plant Sci. 2017, 8, 1492. [Google Scholar] [CrossRef]
  34. Sharma, S.K.; Goloubinoff, P.; Christen, P. Cellular Effects of Heavy Metals; Springer: New York, NY, USA, 2011; pp. 263–274. [Google Scholar]
  35. Chen, C.C.; Chen, Y.Y.; Tang, I.C.; Liang, H.M.; Lai, C.C.; Chiou, J.M.; Yeh, K.C. Arabidopsis SUMO E3 Ligase SIZ1 Is Involved in Excess Copper Tolerance. Plant Physiol. 2011, 156, 2225–2234. [Google Scholar] [CrossRef]
  36. Lim, S.D.; Jin, G.H.; Han, A.R.; Yong, C.P.; Lee, C.; Yong, S.O.; Jang, C.S. Positive regulation of rice RING E3 ligase OsHIR1 in arsenic and cadmium uptakes. Plant Mol. Biol. 2014, 85, 365. [Google Scholar] [CrossRef] [PubMed]
  37. Dametto, A.; Buffon, G.; dos Reis Blasi, Ã.A.; Sperotto, R.A. Ubiquitination pathway as a target to develop abiotic stress tolerance in rice. Plant Signal. Behav. 2015, 10, e1057369. [Google Scholar] [CrossRef] [PubMed]
  38. Yongling, R. Sucrose metabolism: Gateway to diverse carbon use and sugar signaling. Annu. Rev. Plant Biol. 2014, 65, 33–67. [Google Scholar] [CrossRef]
  39. Antonkiewicz, J.; Para, A. The use of dialdehyde starch derivatives in the phytoremediation of soils contaminated with heavy metals. Int. J. Phytoremediat. 2016, 18, 245–250. [Google Scholar] [CrossRef]
  40. Baccio, D.D.; Galla, G.; Bracci, T.; Andreucci, A.; Barcaccia, G.; Tognetti, R.; Sebastiani, L. Transcriptome analyses of Populus × euramericana clone I-214 leaves exposed to excess zinc. Tree Physiol. 2011, 31, 1293–1308. [Google Scholar] [CrossRef]
  41. Feng, J.; Jia, W.; Lv, S.; Bao, H.; Miao, F.; Zhang, X.; Wang, J.; Li, J.; Li, D.; Zhu, C. Comparative transcriptome combined with morpho-physiological analyses revealed key factors for differential cadmium accumulation in two contrasting sweet sorghum genotypes. Plant Biotechnol. J. 2017, 16, 558–571. [Google Scholar] [CrossRef]
  42. Huang, Y.Y.; Shen, C.; Chen, J.X.; He, C.T.; Zhou, Q.; Tan, X.; Yuan, J.; Yang, Z. Comparative transcriptome analysis of two Ipomoea aquatica Forsk. cultivars targeted to explore possible mechanism of genotype dependent accumulation of cadmium. J. Agric. Food Chem. 2016, 64, 5241–5250. [Google Scholar] [CrossRef] [PubMed]
  43. Granot, D. Role of tomato hexose kinases. Funct. Plant Biol. 2007, 34, 564–570. [Google Scholar] [CrossRef]
  44. Melissa, R.; Lorenz, G.; David, S.; András, G.; Mattias, H.M.; Manoj, K.; Marie Caroline, S.; Regina, F.; Geoffrey, D.; Mark, S. Fructokinase is required for carbon partitioning to cellulose in aspen wood. Plant J. 2012, 70, 967–977. [Google Scholar] [CrossRef]
  45. Laurence, L.; Judith, W.; Marjorie, P.; Joanna Marie-France, C.; Pascal, T.; Alain, G. Oxidative pentose phosphate pathway-dependent sugar sensing as a mechanism for regulation of root ion transporters by photosynthesis. Plant Physiol. 2008, 146, 2036–2053. [Google Scholar] [CrossRef]
  46. Chen, X.-Y.; Kim, J.-Y. Callose synthesis in higher plants. Plant Signal. Behav. 2009, 4, 489–492. [Google Scholar] [CrossRef] [PubMed]
  47. Bo, X.; Xiaomin, W.; Maosheng, Z.; Zhongming, Z.; Zonglie, H. CalS7 encodes a callose synthase responsible for callose deposition in the phloem. Plant J. 2011, 65, 1–14. [Google Scholar] [CrossRef]
  48. Vatén, A.; Dettmer, J.; Shuang, W.; Stierhof, Y.D.; Miyashima, S.; Yadav, S.R.; Roberts, C.; Campilho, A.; Bulone, V.; Lichtenberger, R. Callose Biosynthesis Regulates Symplastic Trafficking during Root Development. Dev. Cell 2011, 21, 1144–1155. [Google Scholar] [CrossRef]
  49. Levy, A.; Erlanger, M.; Rosenthal, M.; Epel, B.L. A plasmodesmata-associated β-1,3-glucanase in Arabidopsis. Plant J. 2010, 49, 669–682. [Google Scholar] [CrossRef] [PubMed]
  50. Jens, M.; Theresa, T.; Marcus, H.; Janine, T.; Moore, K.L.; Gerd, H.; Dhurvas Chandrasekaran, D.; Katharina, B.; Steffen, A. Iron-dependent callose deposition adjusts root meristem maintenance to phosphate availability. Dev. Cell 2015, 33, 216–230. [Google Scholar] [CrossRef]
  51. Mira, H.; Martinez-Garcia, F.; Penarrubia, L. Evidence for the plant-specific intercellular transport of the Arabidopsiscopper chaperone CCH. Plant J. 2010, 25, 521–528. [Google Scholar] [CrossRef]
  52. Zhang, H.; Shi, W.L.; You, J.F.; Bian, M.D.; Qin, X.M.; Hui, Y.U.; Liu, Q.; Ryan, P.R.; Yang, Z.M. Transgenic Arabidopsis thaliana plants expressing a β-1,3-glucanase from sweet sorghum (Sorghum bicolor L.) show reduced callose deposition and increased tolerance to aluminium toxicity. Plant Cell Environ. 2015, 38, 1178–1188. [Google Scholar] [CrossRef] [PubMed]
  53. Keunen, E.; Peshev, D.; Vangronsveld, J.; Van, D.E.W.; Cuypers, A. Plant sugars are crucial players in the oxidative challenge during abiotic stress: Extending the traditional concept. Plant Cell Environ. 2013, 36, 1242–1255. [Google Scholar] [CrossRef] [PubMed]
  54. Sami, F.; Yusuf, M.; Faizan, M.; Faraz, A.; Hayat, S. Role of sugars under abiotic stress. Plant Physiol. Biochem. 2016, 109, 54–61. [Google Scholar] [CrossRef]
  55. Mostofa, M.G.; Hossain, M.A.; Fujita, M.; Tran, L.S. Physiological and biochemical mechanisms associated with trehalose-induced copper-stress tolerance in rice. Sci. Rep. 2015, 5, 11433. [Google Scholar] [CrossRef]
  56. Martins, L.L.; Mourato, M.P.; Baptista, S.; Reis, R.; Carvalheiro, F.; Almeida, A.M.; Fevereiro, P.; Cuypers, A. Response to oxidative stress induced by cadmium and copper in tobacco plants (Nicotiana tabacum) engineered with the trehalose-6-phosphate synthase gene (AtTPS1). Acta Physiol. Plant. 2014, 36, 755–765. [Google Scholar] [CrossRef]
  57. Ali, Q.; Ashraf, M. Induction of Drought Tolerance in Maize (Zea mays L.) due to Exogenous Application of Trehalose: Growth, Photosynthesis, Water Relations and Oxidative Defence Mechanism. J. Agron. Crop Sci. 2011, 197, 258–271. [Google Scholar] [CrossRef]
  58. Benaroudj, N.; Lee, D.; Goldberg, A. Trehalose accumulation during cellular stress protects cells and cellular proteins from damage by oxygen radicals. J. Biol. Chem. 2001, 276, 24261–24267. [Google Scholar] [CrossRef]
  59. Lux, A.; Martinka, M.; Vaculík, M.; White, P.J. Root responses to cadmium in the rhizosphere: A review. J. Exp. Bot. 2011, 62, 21–37. [Google Scholar] [CrossRef] [PubMed]
  60. Pence, N.S.; Larsen, P.B.; Ebbs, S.D.; Letham, D.L.; Lasat, M.M.; Garvin, D.F.; Eide, D.; Kochian, L.V. The molecular physiology of heavy metal transport in the Zn/Cd hyperaccumulator Thlaspi caerulescens. Proc. Natl. Acad. Sci. USA 2000, 97, 4956–4960. [Google Scholar] [CrossRef]
  61. Hanikenne, M.; Talke, I.N.; Haydon, M.J.; Lanz, C.; Nolte, A.; Motte, P.; Kroymann, J.; Weigel, D.; Kramer, U. Evolution of metal hyperaccumulation required cis-regulatory changes and triplication of HMA4. Nature 2008, 453, 391–395. [Google Scholar] [CrossRef]
  62. Li, J.; Wang, L.; Zheng, L.; Wang, Y.; Chen, X.; Zhang, W. A Functional Study Identifying Critical Residues Involving Metal Transport Activity and Selectivity in Natural Resistance-Associated Macrophage Protein 3 in Arabidopsis thaliana. Int. J. Mol. Sci. 2018, 19, 1430. [Google Scholar] [CrossRef]
  63. Sharma, S.S.; Dietz, K.J.; Mimura, T. Vacuolar compartmentalization as indispensable component of heavy metal detoxification in plants. Plant Cell Environ. 2016, 39, 1112–1126. [Google Scholar] [CrossRef] [PubMed]
  64. Gendre, D.; Czernic, P.; Conéjéro, G.; Pianelli, K.; Briat, J.F.; Lebrun, M.; Mari, S. TcYSL3, a member of the YSL gene family from the hyper-accumulator Thlaspi caerulescens, encodes a nicotianamine-Ni/Fe transporter. Plant J. 2010, 49, 1–15. [Google Scholar] [CrossRef]
  65. Dai, J.; Wang, N.; Xiong, H.; Qiu, W.; Nakanishi, H.; Kobayashi, T.; Nishizawa, N.K.; Zuo, Y. The Yellow Stripe-Like (YSL) Gene Functions in Internal Copper Transport in Peanut. Genes 2018, 9, 635. [Google Scholar] [CrossRef]
  66. Li, J.T.; Deng, D.M.; Peng, G.T.; Deng, J.C.; Zhang, J.; Liao, B. Successful micropropagation of the cadmium hyperaccumulator Viola baoshanensis (Violaceae). Int. J. Phytoremediat. 2010, 12, 761–771. [Google Scholar] [CrossRef]
  67. Hoagland, D.R.; Arnon, D.I. The water-culture method for growing plants without soil. Circ. Calif. Agric. Exp. Stn. 1950, 347, 357–359. [Google Scholar]
  68. Allen, S.E.; Grimshaw, H.M.; Parkinson, J.A.; Quarmby, C. Chemical analysis of ecological materials. J. Appl. Ecol. 1974, 13, 650. [Google Scholar]
  69. Grabherr, M.G.; Haas, B.J.; Yassour, M.; Levin, J.Z.; Thompson, D.A.; Amit, I.; Xian, A.; Lin, F.; Raychowdhury, R.; Zeng, Q. Trinity: Reconstructing a full-length transcriptome without a genome from RNA-Seq data. Nat. Biotechnol. 2011, 29, 644–652. [Google Scholar] [CrossRef]
  70. Pertea, G.; Huang, X.; Liang, F.; Antonescu, V.; Sultana, R.; Karamycheva, S.; Lee, Y.; White, J.; Cheung, F.; Parvizi, B. TIGR Gene Indices clustering tools (TGICL): A software system for fast clustering of large EST datasets. Bioinformatics 2003, 19, 651–652. [Google Scholar] [CrossRef] [PubMed]
  71. Consortium, U.P. The Universal Protein Resource (UniProt) 2009. Nucleic Acids Res. 2009, 37, 169–174. [Google Scholar] [CrossRef]
  72. Zdobnov, E.M.; Apweiler, R. InterProScan—An integration platform for the signature-recognition methods in InterPro. Bioinformatics 2001, 17, 847–848. [Google Scholar] [CrossRef] [PubMed]
  73. Ye, J.; Zhang, Y.; Cui, H.; Liu, J.; Wu, Y.; Cheng, Y.; Xu, H.; Huang, X.; Li, S.; Zhou, A. WEGO 2.0: A web tool for analyzing and plotting GO annotations, 2018 update. Nucleic Acids Res. 2018, 46, W71–W75. [Google Scholar] [CrossRef]
  74. Langmead, B.; Salzberg, S.L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 2012, 9, 357–359. [Google Scholar] [CrossRef] [PubMed]
  75. Bo, L.; Dewey, C.N. RSEM: Accurate transcript quantification from RNA-Seq data with or without a reference genome. BMC Bioinform. 2011, 12, 323. [Google Scholar] [CrossRef]
  76. Moreno-Hagelsieb, G.; Latimer, K. Choosing BLAST options for better detection of orthologs as reciprocal best hits. Bioinformatics 2008, 24, 319–324. [Google Scholar] [CrossRef] [PubMed]
  77. Robinson, M.D.; Mccarthy, D.J.; Smyth, G.K. edgeR: A Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 2010, 26, 139–140. [Google Scholar] [CrossRef] [PubMed]
  78. Zheng, Q.; Wang, X.-J. GOEAST: A web-based software toolkit for Gene Ontology enrichment analysis. Nucleic Acids Res. 2008, 36, 358–363. [Google Scholar] [CrossRef] [PubMed]
  79. Yu, G.; Wang, L.G.; Han, Y.; He, Q.Y. clusterProfiler: An R package for comparing biological themes among gene clusters. Omics 2012, 16, 284–287. [Google Scholar] [CrossRef]
Figure 1. Concentrations of Cd in Viola baoshanensis and V. inconspicua after different Cd treatments. (a) roots, (b) shoots, and (c) Tolerance indices. The different letters above the columns (n = 4), using ANOVA analysis, indicate significant differences (p < 0.05) among the Cd treatments.
Figure 1. Concentrations of Cd in Viola baoshanensis and V. inconspicua after different Cd treatments. (a) roots, (b) shoots, and (c) Tolerance indices. The different letters above the columns (n = 4), using ANOVA analysis, indicate significant differences (p < 0.05) among the Cd treatments.
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Figure 2. Gene Ontology (GO) distributions for Viola baoshanensis (red) and V. inconspicua (grey). Annotation results were mapped to categories in the second level of GO terms, respectively. Those GO terms that contain less than 0.1 % of the total genes were excluded from this graph. The asterisks represent significant differences (p <0.05) between the two Viola species. See more details in Table S14.
Figure 2. Gene Ontology (GO) distributions for Viola baoshanensis (red) and V. inconspicua (grey). Annotation results were mapped to categories in the second level of GO terms, respectively. Those GO terms that contain less than 0.1 % of the total genes were excluded from this graph. The asterisks represent significant differences (p <0.05) between the two Viola species. See more details in Table S14.
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Figure 3. Differentially expressed genes (DEGs) between Cd-treated and control samples in both Viola species. Numbers of the genes with significantly different transcription levels (up- or downregulated) between two species in roots (a) and shoots (b) under the Cd stressed condition, or in the roots (c) and shoots (d) of the control samples, were summarized for comparison. DEGs between the Cd treated and control samples in VB roots (e), VB shoots (f), VI roots (g), and VI shoots (h). CK, control; VB, Viola baoshanensis; VI, Viola inconspicua.
Figure 3. Differentially expressed genes (DEGs) between Cd-treated and control samples in both Viola species. Numbers of the genes with significantly different transcription levels (up- or downregulated) between two species in roots (a) and shoots (b) under the Cd stressed condition, or in the roots (c) and shoots (d) of the control samples, were summarized for comparison. DEGs between the Cd treated and control samples in VB roots (e), VB shoots (f), VI roots (g), and VI shoots (h). CK, control; VB, Viola baoshanensis; VI, Viola inconspicua.
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Figure 4. DEGs involved in the ubiquitin proteasome system (UPS) pathway with constitutively higher transcription levels in Viola baoshanensis. The heat maps for the relative transcription of DEGs were calculated by log2-fold changes. VB/VI(Cd), VB/VI(CK), Cd/CK(VB), and Cd/CK(VI) represent ratios of transcription levels between V. baoshanensis (VB) and V. inconspicua (VI) in the Cd treatment (Cd) and control (CK), and ratios of transcription levels of Cd/CK in VB and VI, respectively. E1, Ubiquitin-activating enzymes; E2, ubiquitin conjugases; HECT, U-box, F-box and RING, subfamilies of ubiquitin ligases. See more details about activation of the UPS pathway by ER stress in Table S11, Section 2.4 and Section 3.1 (under the Discussion).
Figure 4. DEGs involved in the ubiquitin proteasome system (UPS) pathway with constitutively higher transcription levels in Viola baoshanensis. The heat maps for the relative transcription of DEGs were calculated by log2-fold changes. VB/VI(Cd), VB/VI(CK), Cd/CK(VB), and Cd/CK(VI) represent ratios of transcription levels between V. baoshanensis (VB) and V. inconspicua (VI) in the Cd treatment (Cd) and control (CK), and ratios of transcription levels of Cd/CK in VB and VI, respectively. E1, Ubiquitin-activating enzymes; E2, ubiquitin conjugases; HECT, U-box, F-box and RING, subfamilies of ubiquitin ligases. See more details about activation of the UPS pathway by ER stress in Table S11, Section 2.4 and Section 3.1 (under the Discussion).
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Figure 5. DEGs involved in sucrose metabolism with differential transcription levels in the two Viola species. (a) Schematic diagram of the sucrose metabolism pathway in Viola. (b) Heat maps of genes involved in sucrose metabolism with constitutively higher transcription levels in Viola baoshanensis. (c) Heat maps of genes with constitutively higher transcription levels in V. inconspicua. AMY, alpha-amylase; CESA, cellulose synthase; FRK, Fructokinase; HXK, Hexokinase; GYG1, glycogenin; INV, beta-fructofuranosidase; malZ, alpha-glucosidase; SPP, sucrose-6-phosphatase; SPS, sucrose-phosphate synthase; TPP, trehalose 6-phosphate phosphatase; TPS, trehalose 6-phosphate synthase; TREH, alpha trehalase. See more details in Table S12, Section 2.5 and Section 3.2.
Figure 5. DEGs involved in sucrose metabolism with differential transcription levels in the two Viola species. (a) Schematic diagram of the sucrose metabolism pathway in Viola. (b) Heat maps of genes involved in sucrose metabolism with constitutively higher transcription levels in Viola baoshanensis. (c) Heat maps of genes with constitutively higher transcription levels in V. inconspicua. AMY, alpha-amylase; CESA, cellulose synthase; FRK, Fructokinase; HXK, Hexokinase; GYG1, glycogenin; INV, beta-fructofuranosidase; malZ, alpha-glucosidase; SPP, sucrose-6-phosphatase; SPS, sucrose-phosphate synthase; TPP, trehalose 6-phosphate phosphatase; TPS, trehalose 6-phosphate synthase; TREH, alpha trehalase. See more details in Table S12, Section 2.5 and Section 3.2.
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Figure 6. DEGs encoding putative metal transporters. (a) A schematic representation of the main processes for differential Cd uptake and internal translocation in Viola species. (b) Heat maps of genes encoding putative metal transporters with constitutively higher transcription levels in V. baoshanensis. (c) Heat maps of genes encoding putative metal transporters with constitutively higher transcription levels in V. inconspicua. ABC, ATP-binding cassette transporter; CaCA, the Ca2+: cation antiporter protein; CTR, the copper transporter protein; HIPP, heavy metal-associated isoprenylated plant protein; HMA, heavy metal ATPase; MATE, multi-antimicrobial extrusion protein; MTP, metal tolerance protein; Nramp, natural resistance-associated macrophage protein; YSL, yellow stripe-like protein; ZIP, the Zinc/Iron permease protein. See more details in Table S13, Section 2.6 and Section 3.3.
Figure 6. DEGs encoding putative metal transporters. (a) A schematic representation of the main processes for differential Cd uptake and internal translocation in Viola species. (b) Heat maps of genes encoding putative metal transporters with constitutively higher transcription levels in V. baoshanensis. (c) Heat maps of genes encoding putative metal transporters with constitutively higher transcription levels in V. inconspicua. ABC, ATP-binding cassette transporter; CaCA, the Ca2+: cation antiporter protein; CTR, the copper transporter protein; HIPP, heavy metal-associated isoprenylated plant protein; HMA, heavy metal ATPase; MATE, multi-antimicrobial extrusion protein; MTP, metal tolerance protein; Nramp, natural resistance-associated macrophage protein; YSL, yellow stripe-like protein; ZIP, the Zinc/Iron permease protein. See more details in Table S13, Section 2.6 and Section 3.3.
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Figure 7. A schematic view of the experimental design for subsequent RNA-seq. VB, V. baoshanensis; VI, V. inconspicua; CK, control samples.
Figure 7. A schematic view of the experimental design for subsequent RNA-seq. VB, V. baoshanensis; VI, V. inconspicua; CK, control samples.
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Table 1. Statistics of the assembling and annotation data for the transcriptomes of two Viola species.
Table 1. Statistics of the assembling and annotation data for the transcriptomes of two Viola species.
ParameterViola baoshanensisViola inconspicua
No. of contigs (before filtering)105,280101,616
No. of contigs82,85480,059
Maximum length of contigs (bp)67,36842,149
Average length of contigs (bp)19841348
Contig N50 (bp)27781709
GC content (%)43.842.5
Annotated in KEGG31,77231,141
Annotated in GO49,35445,646

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MDPI and ACS Style

Shu, H.; Zhang, J.; Liu, F.; Bian, C.; Liang, J.; Liang, J.; Liang, W.; Lin, Z.; Shu, W.; Li, J.; et al. Comparative Transcriptomic Studies on a Cadmium Hyperaccumulator Viola baoshanensis and Its Non-Tolerant Counterpart V. inconspicua. Int. J. Mol. Sci. 2019, 20, 1906. https://doi.org/10.3390/ijms20081906

AMA Style

Shu H, Zhang J, Liu F, Bian C, Liang J, Liang J, Liang W, Lin Z, Shu W, Li J, et al. Comparative Transcriptomic Studies on a Cadmium Hyperaccumulator Viola baoshanensis and Its Non-Tolerant Counterpart V. inconspicua. International Journal of Molecular Sciences. 2019; 20(8):1906. https://doi.org/10.3390/ijms20081906

Chicago/Turabian Style

Shu, Haoyue, Jun Zhang, Fuye Liu, Chao Bian, Jieliang Liang, Jiaqi Liang, Weihe Liang, Zhiliang Lin, Wensheng Shu, Jintian Li, and et al. 2019. "Comparative Transcriptomic Studies on a Cadmium Hyperaccumulator Viola baoshanensis and Its Non-Tolerant Counterpart V. inconspicua" International Journal of Molecular Sciences 20, no. 8: 1906. https://doi.org/10.3390/ijms20081906

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