Genome-wide identification and expression profile of HD-ZIP genes in physic nut and functional analysis of the JcHDZ16 gene in transgenic rice
- 184 Downloads
Homeodomain-leucine zipper (HD-ZIP) transcription factors play important roles in the growth, development and stress responses of plants, including (presumably) physic nut (Jatropha curcas), which has high drought and salinity tolerance. However, although physic nut’s genome has been released, there is little knowledge of the functions, expression profiles and evolutionary histories of the species’ HD-ZIP genes.
In this study, 32 HD-ZIP genes were identified in the physic nut genome (JcHDZs) and divided into four groups (I-IV) based on phylogenetic analysis with homologs from rice, maize and Arabidopsis. The analysis also showed that most of the JcHDZ genes were closer to members from Arabidopsis than to members from rice and maize. Of the 32 JcHDZ genes, most showed differential expression patterns among four tissues (root, stem cortex, leaf, and seed). Expression profile analysis based on RNA-seq data indicated that 15 of the JcHDZ genes respond to at least one abiotic stressor (drought and/or salinity) in leaves at least at one time point. Transient expression of a JcHDZ16-YFP fusion protein in Arabidopsis protoplasts cells showed that JcHDZ16 is localized in the nucleus. In addition, rice seedlings transgenically expressing JcHDZ16 had lower proline contents and activities of antioxidant enzymes (catalase and superoxide dismutase) together with higher relative electrolyte leakage and malondialdehyde contents under salt stress conditions (indicating higher sensitivity) than wild-type plants. The transgenic seedlings also showed increased sensitivity to exogenous ABA, and increases in the transcriptional abundance of several salt stress-responsive genes were impaired in their responses to salt stress. Further data on JcHDZ16-overexpressing plants subjected to salt stress treatment verified the putative role of JcHDZ genes in salt stress responses.
Our results may provide foundations for further investigation of functions of JcHDZ genes in responses to abiotic stress, and promote application of JcHDZ genes in physic nut breeding.
KeywordsHD-ZIP gene family Physic nut Expression profile Abiotic stress JcHDZ16
Open reading frame
Relative electrolytic leakage
Abiotic stresses, such as drought and salinity, can have severe (or even lethal) effects on plants’ growth, development, and performance (e.g. in terms of crop yields). Thus, plants have evolved diverse adaptive mechanisms that provide varying degrees of resistance or tolerance, controlled by complex regulatory networks . Important elements of these regulatory networks are transcription factors, proteins that regulate the expression of various target genes by binding to cis-acting regulatory elements in their promoter regions . Many transcription factors, including members of the AP2/ERF, NAC, MYB, bHLH, WRKY and HD-ZIP families, have been identified, characterized and shown to participate in regulation of plants’ responses to abiotic stresses [3, 4, 5, 6, 7, 8].
HD-ZIP transcription factors, comprising one of the largest gene families in plants, contain two conserved functional domains: a homeodomain (HD) and a leucine zipper (LZ) motif [9, 10]. The HD is responsible for sequence-specific DNA binding, which regulates downstream genes’ transcription, and the LZ motif (which is tightly linked to the HD) mediates homo- and hetero-dimerization [9, 10]. Other domains are also found in some HD-ZIP proteins, such as the MEKHLA domain, which is probably involved in light signaling, and START domain with putative lipid-binding capability . Based on amino acid sequence similarities, conserved domains and their functions, and structural characteristics, members of the HD-ZIP family in Arabidopsis are classified into four groups, designated I-IV .
Since the first isolation of an HD-containing gene, KNOTTED1 from maize , numerous HD-ZIP transcription factors have been identified in diverse plant species (e.g., Arabidopsis, rice, soybean, wheat, maize, poplar, grape, and cassava) through genome-wide analyses [11, 13, 14, 15, 16, 17, 18, 19]. Subsequent studies have indicated that HD-ZIP genes are involved in numerous plant developmental processes. For example, TaHDZipl-2 reportedly participates in regulation of flowering time and spike development in wheat and barley transgenically expressing it . PtrHB4, a HD-Zip III gene, functions in regulation of interfascicular cambium development . Hat3 and athb4 double mutants exhibit organ polarity defects, while hat3athb4athb2 triple mutation results in cotyledon formation defects and inhibition of shoot apical meristem activity . In Arabidopsis, ATHB17 is involved in regulating chloroplast number and photosynthetic capacity, and its overexpression induces increases in chlorophyll content . ATHB4 participates in integration of shade perception and hormone-mediated growth . ATHB12 acts as a positive regulator of leaf growth by promoting cell expansion and endoreduplication . In rice, OsHox33 knockdown accelerates leaf senescence by regulating expression of GS1 and GS2 . OsHox32 is reportedly involved in leaf development, and transgenic plants overexpressing it produce narrow leaves . OsHox4 plays an important role in GA deactivation in rice by controlling expression of DELLA subfamily genes . In addition to the functions described above, numerous studies have shown that HD-ZIP genes are involved in regulating plant responses to abiotic stress [29, 30]. For example, overexpression of the class I homeodomain transcription factor TaHDZipI-5 increases drought and frost tolerance in transgenic wheat . Over-expression of OsHOX24 imparts higher sensitivity to stress hormone, ABA, and abiotic stresses in the transgenic Arabidopsis plants . Transgenic expression of Zmhdz10 increases rice and Arabidopsis plants’ tolerance of salinity and drought stresses . Thus, various genes of the HD-ZIP family have been cloned and functionally studied, but there is little knowledge of its members and their functions in many taxa, including the Euphorbiaceae.
Physic nut (Jatropha curcas), a perennial shrub of the Euphorbiaceae, has been extensively planted in tropical and sub-tropical regions due to its high seed oil content, ease of propagation, rapid growth, ability to fix sand, and strong tolerance of drought and salinity [31, 32]. The recent release of its genome has provided opportunities for genome-wide identification, classification and comparative genome studies . However, no information on the identification, classification, expression profiles or functions of HD-ZIP genes in physic nut has been previously published. To address this gap, we searched for and identified 32 HD-ZIP genes in the physic nut genome (hereafter JcHDZ genes). We then analyzed the structure, phylogeny, conserved motifs and chromosomal localizations of these genes. Next, we examined tissue expression profiles of the identified genes, under non-stressed conditions and following exposure to drought and salinity. Finally, we transgenically expressed the JcHDZ16 gene in rice and characterized its function. The results provide insights into the evolution of JcHDZ genes, and foundations for exploring roles of JcHDZ genes in responses to drought and salinity stresses. They should also facilitate further research into molecular mechanisms underlying stress responses in physic nut, and plants generally.
Identification of HD-ZIP gene family members in physic nut
To identify JcHDZ genes in the physic nut genome, we performed BLASTP searches using all known HD-ZIP protein sequences from Arabidopsis and rice. In addition, the HMM HD-Zip gene model was used to detect JcHDZ genes that may have been missed. In total, 32 JcHDZ genes were finally identified in physic nut, with confirmed presence of both LZ and HD domains according to PFam and SMART database searches. These genes were provisionally designated JcHDZ01 to JcHDZ32 based on their positions from top to bottom in the physic nut chromosomes or, more strictly, Linkage Groups (LGs) 1 to 11. The length of the JcHDZ genes’ ORFs varied from 549 bp (JcHDZ01) to 2541 bp (JcHDZ17), thus the encoded proteins potentially range from 182 to 846 amino acids, and their GenBank accession numbers are listed in Additional file 1. Predicted molecular weights and theoretical pI values (isoelectric points) of the 32 deduced JcHDZ proteins range from 21.2 to 92.7 KDa, and 4.66 to 8.95, respectively (Additional file 1).
Phylogenetic analysis of HD-ZIP gene family
Analysis of JcHDZ genes’ structure and conserved motifs
Chromosomal localization analysis of JcHDZ genes
Expression profile analysis of JcHDZ genes under normal growth conditions
In addition, as shown in Fig. 5, most of the JcHDZ genes were more highly expressed in seeds in the S1 stage (14 days after pollination, DAP) than in the S2 stage (41 DAP). However, expression of JcHDZ01 and 18 was detected in seeds in the S2 stage, but not the S1 stage.
Expression profile analysis of JcHDZ genes under abiotic stress conditions
JcHDZ16 is a nucleus-localized transcriptional activator
To determine whether JcHDZ16 had transcriptional activator activity, the full-length cDNA of JcHDZ16 were cloned into the vector pBD, and then the PEG (polyethylene glycol)-mediated method was used to transfer plasmids from the pBD-JcHDZ16 fusion effector vector and p5 × GAL-Reporter vector into Arabidopsis protoplasts. Our data suggested that the ratio of LUC/REN was significantly higher in the experimental group (pBD-JcHDZ16) than in the control group (pBD) (Additional file 4). These results indicate that JcHDZ16 acts as a transcriptional activator.
JcHDZ16 binds to the H-box motif
To investigate the binding of JcHDZ16 to the H-box motif, three tandem copies of H-box motif sequence were cloned into pHIS2 and their interactions with JcHDZ16 were determined using Y1H analysis. The results indicate that yeast cells cotransformed with JcHDZ6-effector and different reporters grew on the SD/−Trp/−His/−Leu/ containing 50 mM 3-AT (3-amino-1, 2, 4-triazole) medium, demonstrating that JcHDZ16 can bind to the H-box motif (Additional file 5).
Phenotype analysis and generation of transgenic rice with JcHDZ16
JcHDZ16 negatively regulates salinity-induced responses in rice
Proline accumulation has been shown to be an important adaptation mechanism in plants’ responses to salinity and drought stresses . We found no significant difference in proline content between OeJcHDZ16 and wild-type lines under normal conditions, but it was clearly higher in wild-type lines under salinity stress (Fig. 9c), clearly indicating that this stress response is repressed in the OeJcHDZ16 lines. In addition, relative electrolyte leakage (REL) and MDA levels (indicators of cell membrane damage) of OeJcHDZ16 leaves were higher than those of wild-type plants under the salinity stress (Fig. 9d and e). These results suggest that leaf cells are damaged less by salinity in wild-type plants than in the OeJcHDZ16 plants. In further tests, we found that catalase (CAT) and superoxide dismutase (SOD) activities were significantly higher in wild-type leaves than in OeJcHDZ16 leaves under salinity stress, but not under normal growth conditions (Fig. 9f and g). Taken together, these data strongly confirm that transgenic expression of JcHDZ16 can reduce rice plants’ salinity tolerance.
Overexpression of salinity stress-related genes (including OsHKT1;1, OsAPX2, OsDREB2A, OsP5CS or their homologs) can increase plants’ rice salinity tolerance [36, 37, 38, 39]. Therefore, to clarify JcHDZ16’s role in regulation of salinity responses in the transgenic rice lines, we estimated (by qRT-PCR) relative transcript levels of these genes in leaves of wild-type and OeJcHDZ16 plants under normal and salinity stress conditions. The results revealed that their expression levels were upregulated in leaves of OeJcHDZ16 plants in response to salinity stress, but less strongly than in wild-type (Fig. 9h). In contrast, no clear differences in their expression levels between the wild-type and OeJcHDZ16 plants were detected under normal growth conditions (Fig. 9h).
Transgenic expression of JcHDZ16 increases ABA sensitivity in rice
Physic nut is being widely cultivated, partly because of its high drought and salinity tolerance [31, 32]. In model plants such as Arabidopsis and rice, significant progress has been made in elucidating functions of abiotic stress-related genes [40, 41]. Results have shown that HD-ZIP proteins are some of the most important transcription factors involved in abiotic stress signaling pathways [15, 16], and group I genes of the family strongly contribute to tolerance of abiotic stresses, including drought and salinity [29, 30]. However, there is little knowledge of the molecular mechanisms involved in physic nut’s stress tolerance generally, or the identities, expression profiles and functions of its HD-ZIP genes. Therefore, we identified, characterized and examined expression profiles of HD-ZIP genes in the species, and selected one (designated JcHDZ16) that was clearly repressed under salinity stress, and further analyzed its function by transgenically expressing it in rice.
In total, 32 JcHDZ genes were identified in the physic nut genome (Additional file 1) of 320 Mb , fewer than reportedly present in the 466 Mb rice genome (44), 125 Mb Arabidopsis genome (48), and 2300 Mb maize genome (55) [11, 15, 16]. This may be at least partly because HD-ZIP genes in the physic nut genome were not subjected to segmental and tandem duplication events during the species’ early evolutionary history , whereas such duplications made major contributions to the expansion of HD-ZIP genes in rice, Arabidopsis and maize [11, 15, 16]. Following the classification of HD-ZIP genes from rice, Arabidopsis and maize [11, 15, 16], members of the physic nut HD-ZIP family were divided into four groups, and group III had the fewest members (Fig. 1), as in other plants such as Arabidopsis, rice, maize, wheat, poplar, grape, soybean and cassava [11, 13, 14, 15, 16, 17, 18, 19]. These results show that the HD-ZIP III group is highly conserved in physic nut and other plants, confirming previous studies .
The extent of differences in exon-intron patterns among plant species is closely related to their evolution. We found that the exon-intron splicing arrangements and numbers of exons of JcHDZ genes were similar to those reportedly observed in HD-ZIP genes from rice, maize and Arabidopsis [11, 15, 16]. For example, members of group I appear to have 1 to 3 exons in physic nut (our findings, Fig. 2), Arabidopsis, maize and rice [11, 15, 16]. Furthermore, most JcHDZ proteins of the same group apparently have similar exon-intron structures (Fig. 2). The structural similarities of members of the same group support the classification of HD-ZIP proteins in physic nut, and the conserved motifs provide further support. For example, we found that group III and IV genes have more motifs than genes of groups I and II in physic nut, motif 14 was absent in group I and a MEKHLA domain was only detected in group III (Fig. 3). Similar patterns have also been detected in various dicot and monocot plants, for example poplar, grape, rice, wheat, soybean, maize, Arabidopsis and cassava [11, 13, 14, 15, 16, 17, 18, 19]. Taken together, the similarities in gene structure and conserved motifs of JcHDZ genes in the same group corroborate their classification and inferred evolutionary relationships.
Gene expression profiles can provide valuable indications of genes’ biological functions, so we explored those of the 32 JcHDZ genes using RNA-seq data (Fig. 5). The results suggest that JcHDZ10 is most highly expressed in seeds. Moreover, its homologs in Arabidopsis AtML1 and PDF2 are essential for embryo survival , indicating that JcHDZ10 may be involved in physic nut seed development. PHB, another HD-ZIP gene, is involved in regulating root length by directly activating the cytokinin biosynthesis gene IPT7 , and its homolog in physic nut JcHDZ17 was most strongly expressed in roots. Thus, we hypothesize that it may play a vital role in root growth and development by regulating expression of cytokinin biosynthesis genes. Similarly, JcHDZ25 was highly expressed in roots, and its Arabidopsis homolog AtHB12 induces root elongation in young transgenic plants , suggesting that JcHDZ25 may also be involved in regulating root elongation. High levels of JcHDZ01 transcripts were detected in stem cortex, and its Arabidopsis homolog HB52 is also highly expressed in stems , suggesting that JcHDZ01 may participate in stem development. The Picea glauca gene PgHZ1 is mainly expressed in embryos, and its products are apparently required for embryonic growth, according to experiments with transgenic Arabidopsis . Its homolog in physic nut, JcHDZ06, is preferentially expressed in seeds, suggesting that JcHDZ06 may have a similar function to the Picea glauca gene in the course of plant growth and developmental. JcHDZ14, 16, 22 and 28 had constitutive expression patterns in tested organs, indicating that they probably participate in fundamental elements of plant growth and development processes. Taken together, we infer that JcHDZ genes act in diverse aspects of developmental processes in physic nut, and further study is required to elucidate their roles.
Whole-genome expression analyses have demonstrated that abiotic stresses induce reductions in expression of some HD-ZIP genes in various plants . For example, 59 HD-ZIP genes are reportedly involved in responses to salinity or drought stress in soybean , 16 are up-regulated or down-regulated under salinity or drought stress in poplar , and 28 are regulated by drought or salinity in wheat . In addition, overexpression or knock-out of several HD-ZIP genes has demonstrated capacity to increase plants’ tolerance to drought and salinity stresses [29, 30, 42]. For example, expression of TaHDZipI-5 increases drought tolerance of wheat , and transgenic Zmhdz10-expressing rice and Arabidopsis plants display increased tolerance of salinity and drought . Previous studies have clearly shown that physic nut has high drought and salinity resistance [31, 32]. However, no information on responses of HD-ZIP genes to salinity and drought in physic nut has been previously published. In this study, transcriptome sequencing data generated from physic nut exposed to drought and salinity enabled us to identify 15 JcHDZ genes that are apparently involved in responses to these stresses (Fig. 6). For example, expression of JcHDZ06, 07, 09, 16 and 28 was up- or down-regulated during both the drought and salinity treatments at one time point at least, whereas JcHDZ03 only responded to drought stress. Furthermore, numerous investigations have shown that HD-ZIP genes of group I participate in regulation of abiotic stresses responses [29, 30]. Similarly, we found that expression of most JcHDZ genes of group I increased or decreased during the drought and/or salinity treatments (Fig. 6). Collectively, our results suggest these JcHDZ genes may play important roles in regulating plant responses to drought and salinity stress, and their specific functions need to be determined by transgenic analysis.
Salinity is a major inhibitor of plant growth and development that severely impairs crop yields in many regions , thus there are urgent needs to elucidate salinity tolerance mechanisms and identify ways to counter the impairments. We found that JcHDZ16, a gene of group I, was clearly down-regulated in leaves of physic nut under salinity stress (Fig. 6), and to explore its function we tested its transgenic effects. For this we used rice, although JcHDZ genes were closer to homologs in Arabidopsis than to rice homologs. However, the degree of homology was high in both cases. Thus, we took the opportunity to test the feasibility of using JcHDZ genes to modify the stress resistance of an important crop plant in addition to verifying its functional role. Transgenic expression of JcHDZ16 increased rice plants’ sensitivity to salinity stress, as leaf rolling and loss of chlorophyll were more pronounced in OeJcHDZ16 plants than in wild-type controls (Fig. 9).
When plants are exposed to environmental stresses such as drought and salinity, some rapid adaptive physiological responses mediated by osmotic changes may provide rapid and accurate indications of their tolerance of the stresses [49, 50]. Notably, proline plays a major role in counteracting effects of drought and salinity stresses, as an osmoprotectant or ‘compatible solute’ in diverse species . A close positive relationship between capacity to accumulate proline and stress tolerance has been confirmed by overexpressing and knocking out the P5CS (proline synthesis) gene in various plants [36, 51, 52]. We found that leaves of wild-type plants accumulate more proline than leaves of OeJcHDZ16 plants under salinity stress (Fig. 9c), which may account for at least some of the OeJcHDZ16 plants’ higher sensitive to salinity stress. In addition, salinity induced higher increases in REL and MDA contents in leaves of OeJcHDZ16 plants than in leaves of wild-type plants (Fig. 9d and e). These findings indicate that salinity causes more cell membrane damage in leaves of OeJcHDZ16 plants, corroborating JcHDZ16’s role in negative regulation of salinity responses.
CAT and SOD also play key roles in plants’ tolerance of abiotic stresses (including drought and salinity) by scavenging excess reactive oxygen species (ROS) [53, 54]. For example, transgenic ADC2 expression enhances Arabidopsis plants’ tolerance of salt stress by increasing CAT and SOD activities . We found that OeJcHDZ16 plants had lower CAT and SOD activities under salinity stress than wild-type plants (Fig. 9f and g), indicating that salinity may induce more severe oxidative damage in them than in wild-type plants. Collectively, these results at least partially explain the increased sensitivity to salinity of our transgenic rice plants.
In addition to physiological factors, various salt stress-related genes have been identified [40, 41, 56]. For example, overexpression of JcERF11 increases sensitivity to salt stress in rice by reducing expression of HKT1;1, HKT1;5; APX2 and SNAC1 . As in previous studies, we observed that expression levels of some salt-stress-related genes (OsHKT1;1, OsAPX2, OsDREB2A and OsP5CS) were significantly lower in the OeJcHDZ16 plants than in wild-type controls in response to salinity stress (Fig. 9h). OsHKT1;1 participates in removal of Na+ from leaf blades , OsAPX2 gene products are involved in scavenging ROS , and overexpression of OsP5CS or OsDREB2A increases rice plants’ accumulation of proline under salt stress [36, 37]. Transgenic expression of these genes also enhances plants’ salt tolerance [36, 37, 38, 39]. Thus, our results strongly indicate that JcHDZ16 negatively regulates salinity responses in our transgenic rice lines at least partly through down-regulation of known salt stress-related genes. Since reporter gene studies in Arabidopsis protoplasts suggested that JcHDZ16 acts as a transcriptional activator, its function as a negative regulator in stress (salinity) responses might be explained via activation of other repressors.
Previous studies have shown that ABA signaling plays essential roles in plant responses to abiotic stresses, including drought and salinity, and stress-responsive genes generally participate in either ABA-dependent or ABA-independent pathways . Our results clearly indicate that JcHDZ16-expressing rice seedlings were more sensitive to ABA than wild-type seedlings (Fig. 10a). Other HD-ZIP proteins, such as Zmhdz10 and Oshox22, reportedly have similar effects [30, 56]. In addition, we found that OsABI5 expression was significantly higher in our transgenic plants than in the wild-type plants (Fig. 10d). OsABI5 is an important regulator in the ABA signaling pathway, and it overexpression both increases rice plants’ sensitivity to ABA and reduces their salt tolerance . Thus, JcHDZ16 may be involved in ABA signal transduction and the associated increased salt sensitivity may be partly due to up-regulated expression of OsABI5. In summary, the data from the present study strongly indicate the important functions of JcHDZ16 in response to salt stress through the ABA signal transduction pathway.
We have identified 32 full-length JcHDZ genes, which can be robustly assigned to four phylogenetic groups, according to their exon-intron structures and conserved motifs. Their expression profiles clearly indicate that some JcHDZ genes are involved in responses to abiotic stresses. Transgenic expression of one of the genes (JcHDZ16) reduced the tolerance of rice plants to salinity stress, corroborating the hypothesis that some of these genes participate in physic nut’s responses to abiotic stresses. The transgenic seedlings were also more sensitive to ABA. Thus, JcHDZ16 appears to be a negative regulator of salt stress responses acting through ABA signaling pathways. In summary, our results identify candidate genes for future functional analysis of JcHDZ genes involved in salt-related signaling pathways. They also provide indications of the phylogeny, structural features, and functions of HD-ZIP genes in physic nut, but much further analysis is required.
Plant materials and growth conditions
The inbred cultivar GZQX0401 of J. curcas was used for our research, since its genome has been fully sequenced . Seeds of the cultivar were obtained from South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China. The wild-type rice (Oryza sativa L.) cultivar used was the japonica cv. Zhonghua 11 (ZH11). Seeds were germinated and cultured in soil in basins in a greenhouse under natural sunlight at Zhoukou Normal University, China.
Identification of JcHDZ genes in physic nut
To identify putative physic nut HD-ZIP proteins, HMM models of the two characteristic domains of a HD-ZIP transcription factor, homeobox associated leucine zipper (LZ, PF02183) and homeobox (HD, PF00046), were downloaded from PFam (http://pfam.sanger.ac.uk/). They were then used as query sequences in local HMM-based searches, setting E-values < 0.01 . In addition, to identify physic nut HD-ZIP proteins that might have been missed through HMM model searching, BLASTP searches against the physic nut genomic databases (available from DDBJ/EMBL/GenBank under accession number AFEW00000000) were performed using all HD-ZIP gene family members in Arabidopsis and rice as query sequences. PFam and SMART (http://smart.embl-heidelberg.de/) databases were used to examine all candidate HD-ZIP protein sequences. Then, to further confirm the conserved domains of predicted HD-ZIP proteins from physic nut, multiple sequence alignments were performed using Clustal X software. ExPASy (https://web.expasy.org/protparam/) was used to analyze the identified JcHDZ proteins’ physical and chemical characteristics.
Phylogenetic and gene structure analysis
HD-ZIP protein sequences of Arabidopsis were downloaded from the Arabidopsis Information Resource (TAIR, https://www.arabidopsis.org/, Additional file 5). HD-ZIP proteins of rice and maize were downloaded from the Phytozome (http://www.phytozome.net/) and NCBI (https://www.ncbi.nlm.nih.gov/) websites (Additional file 6), and physic nut sequences were downloaded from GenBank (http://www.ncbi.nlm.nih.gov/; available from DDBJ/EMBL/GenBank under accession number AFEW00000000). Following sequence alignment of HD-ZIP proteins from all these plants by ClustalX, MEGA 6 was used to construct a Neighbor-Joining tree by bootstrapping with the following parameters: 1000 bootstrap replications, Poisson model, and treatment of gaps/missing data as complete deletions. In addition, CDS and genomic sequences were submitted to GSDS (Gene Structure Display Server, http://gsds.cbi.pku.edu.cn/) to obtain schematic diagrams of the genes’ structures.
Conserved motifs and chromosomal localization
Conserved motifs of the JcHDZ proteins were analyzed using MEME software (http://meme-suite.org/) with the following parameters: motif site distribution, zero or one site per sequence; motif count, 15; and motif width, 6–100. Chromosomal locations of JcHDZ genes were obtained from previously published information , using a maximum likelihood mapping algorithm and the Kosambi mapping function to calculate map distances in cM , and linkage maps for the JcHDZ genes were drawn using the MapChart software package.
Expression profile analysis of JcHDZ genes
Physic nut seedlings were grown in the big round basin containing soil (30%) and sand (70%) at 30 °C in natural sunlight in a temperature-controlled greenhouse. After emergence of the first true leaf, the seedlings were irrigated with Hoagland nutrient solution (volume 1 L, pH 6.0) once every 2 days at eight o’clock in the morning. Roots, stem cortex, and leaves of seedlings were collected at the six-leaf stage. In addition, seeds were collected at both an early developmental stage at 14 DAP (designated S1) and the filling stage at 41 DAP (designated S2). The sampled materials were immediately stored at − 80 °C until required for gene expression analysis (Additional file 3). For the drought stress treatment, we stopped watering seedlings at the six-leaf stage, and collected leaves 2, 4 and 7 d after the treatment commenced. For the salinity stress treatment, Hoagland nutrient solution containing 100 mM NaCl was used to irrigate seedlings from the six-leaf stage every day at eight o’clock in the morning, and we collected leaves 2 h, 2 d and 4 d after the treatment commenced. The sampled leaves were stored immediately at − 80 °C until required for gene expression analysis, when raw sequence data were acquired following standard protocols  and submitted to the sequence read archive (SRA) at NCBI (with accession nos. PRJNA244896 and PRJNA257901 for the salinity stress and drought stress data, respectively).
The open reading frame (ORF) sequence of the JcHDZ16 gene without the stop codon was amplified by RT-PCR using using cDNA generated from RNA extracted from physic nut root and leaf samples as a template. After confirmatory DNA sequencing, the sequence was connected to the pSAT6-eYFP-N1 vector, then a pSAT6-JcHDZ16-YFP fusion expression vector, with a CaMV 35S promoter (35S), was established. For subcellular localization of JcHDZ16 protein, a 35S::YFP vector was used as a control, and the PEG (polyethylene glycol)-mediated method was used to transfer plasmids from the 35S::JcHDZ16-YFP fusion expression vector and control vector into Arabidopsis protoplasts. The transformed protoplasts cells were incubated at 25 °C for 16 h, then laser scanning confocal microscopy was used to detect YFP fluorescence signals. Arabidopsis protoplasts were prepared following Axelos .
The full-length cDNA of JcHDZ16 amplified by PCR using specific primers was inserted into the Kpn I and Xba I sites to creat a fusion construct of pBD-JcHDZ16. The pBD-JcHDZ16 plasmid and p5 × GAL-Reporter plasmid were transformed into Arabidopsis protoplasts. An empty pBD vector was used as a negative control. Total protein from Arabidopsis protoplasts was extracted using ProteoPrep® Total Extraction Sample Kit (Sigma) based on the manufacturer’s instructions, and then the enzyme-labeled instrument (TECAN LAI-2000) was used to analyze the fluorescent activity of proteins. Transcriptional activation was analyzed according to the ratio of LUC/REN.
Examining the binding of JcHDZ16 to the H-box motif using Y1H
Three tandem copies of H-box were inserted into pHIS2 (Clontech) upstream of the reporter gene HIS3. The CDS of JcHDZ16 was cloned into pGADT7-Rec2 (Clontech) as the effector (pGADT7-JcHDZ16). The constructs were cotransformed into Y187 cells, which were plated onto SD/−Trp/−His/ and SD/−Trp/−His/−Leu/ medium supplemented with 50 mM 3-AT (3-amino-1, 2, 4-triazole) and incubated at 30 °C for 3–5 days.
Gene cloning and plant transformation
To construct a JcHDZ16 overexpression vector, cDNA containing its full-length CDS was amplified by RT-PCR from total RNA isolated from physic nut leaf and root samples using primers shown in Additional file 4. The PCR product was cloned into the pMD18-T vector (Takara, http://www.takara.com.cn/), and successful amplification of the target gene was confirmed by DNA sequencing. Kpn I and Xba I were used to excise the target sequence from the pMD18-T vector, then the CDS was cloned into the pCAMBIA1301 vector at the Kpn I/Xba I site under control of the 35S promoter and ocs (octopine synthase) terminator.
The resulting construct was transformed into Agrobacterium (strain EHA105) by the freeze–thaw procedure, then Agrobacterium lines harboring the constructs were used to transform and regenerate rice seedlings, following published protocols . Transgenic plants were confirmed through hygromycin screening and semi-quantitative reverse transcription PCR analysis. T3 homozygous lines were used for subsequent experiments.
For salinity stress treatment, 2-week-old rice seedlings in a growth chamber providing 16 h light/8 h dark cycles at 25 °C were transferred to Yoshida’s culture solution containing 150 mM NaCl for 5 days, returned to Yoshida’s culture solution for 12 days, then survival rates were calculated. In addition, leaves from two-week-old rice seedlings exposed to this salinity stress treatment for 2 days were used for qRT-PCR analysis. For ABA sensitivity assays, approximately 0.5 cm tall rice seedlings were exposed to Yoshida’s culture solution supplemented with 5 μM ABA (or without supplements, for controls) for 4 days, then their shoot lengths were measured. Similar results were obtained with three biological replicates.
Measurements of physiological parameters
Leaves from two-week-old rice seedlings exposed to salinity stress for 2 days were used to analyze relative electrolytic leakage (REL), proline and malondialdehyde (MDA) contents, and activities of CAT and SOD. For REL measurements, about 0.2 g leaf samples were washed five times with deionized water, then placed in test tubes, followed by 10 mL of deionized water. Each sample was vibrated continuously at 25 °C for 2 h, then the conductivity (C1) of the solution was measured using a top conductivity meter. Next, each sample was boiled for 20 min, the resulting solution was cooled to room temperature, the conductivity (C2) was measured again and REL was simply calculated from REL (%) = C1/C2 × 100. Previously described methods were used to estimate samples’ proline contents , MDA contents , and activities of CAT and SOD activities in leaves from wild-type and transgenic rice .
RNA isolation and qRT-PCR analysis
To estimate JcHDZ16 expression levels in wild type and transgenic rice, total RNA was isolated from selected organs of 2-week-old seedlings that had been sampled and stored at − 80 °C, using a MiniBEST plant RNA extraction kit (TaKaRa Code No. 9769). 2 μg RNA samples were used to synthesize first-strand cDNA using M-MLV reverse transcriptase (Promega, http://www.promega.com). JcHDZ16 sequences were then quantified by qRT-PCR using SYBR GreenSYBR® Premix Ex Taq™ (TaKaRa, Japan) and a LightCycler® 480 real-time PCR system (http://www.roche.com/), with the following settings: 95 °C for 30 s, followed by 40 cycles at 95 °C for 5 s, 60 °C for 20 s, and 72 °C for 20 s. The cited manufacturers’ instructions were followed in all of these procedures. Relative expression levels were calculated using the 2-∆∆CT method, and JcActin and Osubiquition as reference genes for physic nut and rice, respectively. All primers used in this study are listed in Additional file 7. Three biological replicates and two technical replicates of each biological replicate were used in this experiment.
Three biological replicates were used for all experiments, and Duncan tests were used to assess the significance of differences in measured variables between the materials  with the SAS software package version 9.
The authors give many thanks to the Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China for providing the physic nut seeds.
The research was conceived and designed by XB and YT. The experiments were performed by HL, JL, ML, YQ, JZ, MS and GL, and the data were analyzed by XB, LJ, KL and JW. The manuscript was written and revised by JL and YT. All the authors read and approved the final manuscript.
This research was supported by the Foundations of He’nan Science and Technology Committee (grant no. 182102110200) and He’nan Educational Committee (grant no. 18A180035), which provided funding for the subcellular localization of JcHDZ16 protein, and publication of our paper. The work was also supported by the Fund for Youth Programs of Zhoukou Normal University (grant no. ZKNUB3201801) and the Startup Fund for Advanced Talents of Zhoukou Normal University (grant nos. ZKNUC2016030 and ZKNUC2015121), which provided funding for the salt stress tolerance analysis, and data interpretation.
Ethics approval and consent to participate
Consent for publication
The authors declare that they have no competing interests.
- 20.Kovalchuk N, Chew W, Sornaraj P, Borisjuk N, Yang N, Singh R, Bazanova N, Shavrukov Y, Guendel A, Munz E. The homeodomain transcription factor TaHDZipI-2 from wheat regulates frost tolerance, flowering time and spike development in transgenic barley. New Phytol. 2016;211(2):671–87.PubMedGoogle Scholar
- 23.Hymus GJ, Cai S, Kohl EA, Holtan HE, Marion CM, Tiwari S, Maszle DR, Lundgren MR, Hong MC, Channa N. Application of HB17, an Arabidopsis class II homeodomain-leucine zipper transcription factor, to regulate chloroplast number and photosynthetic capacity. J Exp Bot. 2013;64(14):4479–90.PubMedPubMedCentralGoogle Scholar
- 24.Sorin C, Sallamartret M, Boutorrent J, Roigvillanova I, Martínezgarcía JF. ATHB4, a regulator of shade avoidance, modulates hormone response in Arabidopsis seedlings. Plant J. 2010;59(2):266–77.Google Scholar
- 28.Zhou W, Malabanan PB, Abrigo E. OsHox4 regulates GA signaling by interacting with DELLA-like genes and GA oxidase genes in rice. Euphytica. 2015;201(1):97–107.Google Scholar
- 29.Annapurna B, Khurana JP, Mukesh J. Characterization of rice homeobox genes, OsHOX22 and OsHOX24, and over-expression of OsHOX24 in transgenic Arabidopsis suggest their role in abiotic stress response. Front Plant Sci. 2016;7(42):627.Google Scholar
- 31.Kumar A, Sharma S. An evaluation of multipurpose oil seed crop for industrial uses (Jatropha curcas L.): a review. Ind Crop Prod. 2008;28(1):1–10.Google Scholar
- 32.Openshaw K. A review of Jatropha curcas: an oil plant of unfulfilled promise. Biomass Bioenergy. 2000;19(1):1–15.Google Scholar
- 36.Karthikeyan A, Pandian SK, Ramesh M. Transgenic indica rice cv. ADT 43 expressing a Δ 1 -pyrroline-5-carboxylate synthetase (P5CS ) gene from Vigna aconitifolia demonstrates salt tolerance. Plant Cell Tiss Org. 2011;107(3):383–95.Google Scholar
- 38.Zhang Q, Ma C, Xue X, Xu M, Li J, Wu J. Overexpression of a cytosolic ascorbate peroxidase gene, OsAPX2, increases salt tolerance in transgenic alfalfa. J Integr Agric. 2014;13(11):2500–7.Google Scholar
- 44.Dello IR, Galinha C, Fletcher AG, Grigg SP, Molnar A, Willemsen V, Scheres B, Sabatini S, Baulcombe D, Maini PK. A PHABULOSA/cytokinin feedback loop controls root growth in Arabidopsis. Curr Biol. 2012;22(18):1699–04.Google Scholar
- 48.Muchate NS, Nikalje GC, Rajurkar NS, Suprasanna P, Nikam TD. Plant salt stress: adaptive responses, tolerance mechanism and bioengineering for salt tolerance. Bot Rev. 2016;82:371–406.Google Scholar
- 49.Fariduddin Q, Mir BA, Ahmad A. Physiological and biochemical traits as tools to screen sensitive and resistant varieties of tomatoes exposed to salt stress. Braz J Plant Physiol. 2012;24(4):281–92.Google Scholar
- 50.Sohrabi S, Ebadi A, Jalali S, Salami SA. Enhanced values of various physiological traits and VvNAC1 gene expression showing better salinity stress tolerance in some grapevine cultivars as well as rootstocks. Sci Hortic. 2017;225:317–26.Google Scholar
- 55.Fu Y, Guo C, Wu H, Chen C. Arginine decarboxylase ADC2 enhances salt tolerance through increasing ROS scavenging enzyme activity in Arabidopsis thaliana. Plant Growth Regul. 2017;83(10):1–11.Google Scholar
- 58.Axelos M. A protocol for transient gene expression in Arabidopsis thaliana protoplasts isolated from cell suspension cultures. Plant Physiol Biochem. 1992;30(1):123–8.Google Scholar
- 59.Bates LS, Waldren RP, Teare ID. Rapid determination of free proline for water-stress studies. Plant Soil. 1973;39(1):205–307.Google Scholar
- 61.Azooz MM, Ismail AM, Elhamd MFA. Growth, lipid peroxidation and antioxidant enzyme activities as a selection criterion for the salt tolerance of maize cultivars grown under salinity stress. Int J Agric Biol. 2009;11(1):572–7.Google Scholar
- 62.Duncan DB. Multiple range and multiple F tests. Biometrics. 1955;11(1):1–42.Google Scholar
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.