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Article

Tissue-Specific Expression of the Terpene Synthase Family Genes in Rosa chinensis and Effect of Abiotic Stress Conditions

by
Yuhang Yan
1,
Mouliang Li
1,
Xiaoni Zhang
2,
Weilong Kong
2,
Mohammed Bendahmane
3,
Manzhu Bao
1 and
Xiaopeng Fu
1,*
1
Key Laboratory of Horticultural Plant Biology, Ministry of Education, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China
2
Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
3
Laboratoire Reproduction et Development des Plantes, Ecole Normale Supérieure Lyon, 520074 Lyon, France
*
Author to whom correspondence should be addressed.
Genes 2022, 13(3), 547; https://doi.org/10.3390/genes13030547
Submission received: 24 February 2022 / Revised: 12 March 2022 / Accepted: 15 March 2022 / Published: 20 March 2022
(This article belongs to the Special Issue Genomic and Genetic Resources and Rose Biology and Breeding)
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Abstract

:
Rose (Rosa chinensis) is one of the most famous ornamental plants worldwide, with a variety of colors and fragrances. Terpene synthases (TPSs) play critical roles in the biosynthesis of terpenes. In this work, we report a comprehensive study on the genome-wide identification and characterization of the TPS family in R. chinensis. We identified 49 TPS genes in the R. chinensis genome, and they were grouped into five subfamilies (TPS-a, TPS-b, TPS-c, TPS-g and TPS-e/f). Phylogenetics, gene structure and conserved motif analyses indicated that the RcTPS genes possessed relatively conserved gene structures and the RcTPS proteins contained relatively conserved motifs. Multiple putative cis-acting elements involved in the stress response were identified in the promoter region of RcTPS genes, suggesting that some could be regulated by stress. The expression profile of RcTPS genes showed that they were predominantly expressed in the petals of open flowers, pistils, leaves and roots. Under osmotic and heat stresses, the expression of most RcTPS genes was upregulated. These data provide a useful foundation for deciphering the functional roles of RcTPS genes during plant growth as well as addressing the link between terpene biosynthesis and abiotic stress responses in roses.

1. Introduction

Terpene synthases (TPSs) are important enzymes involved in the biosynthesis of terpenes, a class of compounds related to plant growth and development that attract insect pollinators and respond to multiple biotic or abiotic stresses [1,2,3,4]. Generally, the precursors of terpenoids are two isomeric C5 compounds, isopentenyl diphosphate (IPP) and dimethylallyl diphosphate (DMAPP) [5]. In most plants, IPP and DMAPP are the products of two separate pathways, the cytosolic mevalonic acid (MVA) pathway and the plastid methylerythritol phosphate (MEP) pathway [6]. IPP and DMAPP are subsequently condensed into farnesyl diphosphate (FPP), geranyl diphosphate (GPP), and geranylgeranyl diphosphate (GGPP), which are the direct precursors of terpenes (Figure 1). Finally, FPP is converted into sesquiterpenes (C15) in the cytosol, while GPP and GGPP are converted into monoterpenes (C10) and diterpenes (C20), respectively, in plastids by TPSs [3,7,8]. These terpene skeletons are further modified by various enzymes, such as cytochrome P450-dependent monooxygenases (CYPs), methyltransferases, dehydrogenases and acyltransferases, to form additional compounds [9,10].
TPS proteins are classified into two types, I and II, based on their structure and reaction mechanism [7,11,12]. Type I TPS proteins contain conserved DDXXD and NSE/DTE motifs near the C-terminus and are known to play important roles in the metal-dependent ionization of prenyl diphosphate substrates [13,14,15]. Type II TPS proteins contain a DXDD motif near the N-terminus that catalyzes the formation of copalyl diphosphate (CPP) through protonation-induced cyclization of GGPP [3,16]. The TPS family is phylogenetically divided into seven subfamilies, one of which, TPS-c, represents the type II TPSs, while the remaining subfamilies, TPS-a, TPS-b, TPS-d (gymnosperm-specific), TPS-e/f, TPS-g and TPS-h (specific to Selaginella moellendorffii), are type I TPS proteins [3,7,17].
To date, the TPS family has been identified in various plant species, such as Arabidopsis thaliana [18], Vitis vinifera [19], Solanum lycopersicum [20,21], Malus domestica [22], and Eucalyptus grandis [23], Citrus sinensis [24], Setaria italica [25], Camellia sinensis [26], Dendrobium officinale [27] and Aquilaria sinensis [28]. The number of TPS genes varies widely between different species. V. vinifera has the largest known TPS gene family with as many as 69 putatively functional TPS genes, while there is only one functional TPS gene that has been identified in Physcomitrella patens [29]. Previous studies have characterized several monoterpene synthases and predicted the TPS family genes in the rose [30,31]. However, to date, no comprehensive study of the TPS family has been reported in the rose.
Rosa spp., an economically important genus belonging to the Rosaceae family, are cultivated worldwide for their high ornamental properties and cosmetic and medicinal properties [32]. Modern roses have inherited many traits, mainly floral, including their scent, from both European and Chinese lineages through years of artificial hybridization [33]. Terpenoids, benzenoids/phenylpropanoids and fatty acid derivatives are the three major classes of scented compounds in R. chinensis [31]. In particular, monoterpenes represent up to 70% percent of the scent content in some cultivars [34]. Like other plant species, in roses the sesquiterpenes and norterpenes are synthesized in cytosol and plastids, respectively [30,35]. However, instead of being synthesized by TPSs in the plastids, the acyclic monoterpenes in roses are synthesized in the cytosol by a noncanonical enzyme named NUDX1, which is different from other plants [34] (Figure 1).
Roses have to cope with many abiotic stresses, such as heat stress and water deficit caused drought stress, which severely limit their growth and flowering [36,37]. Drought stress reduces the number of petals and the length of the flower bud of roses [38]. High-temperature conditions were reported to promote flower abscission, and to decrease anthocyanin pigmentation and the size of petals in the rose [39,40]. Volatile terpenes as constituents of floral scent not only play significant roles in attracting pollinator, but they have also been shown to be involved in the response to abiotic stresses in plants [1,26], which is mainly because some of the terpenes (such as isoprene and some monoterpenes) can maintain the stability of cell membrane structure under stress conditions and eliminate the damage caused by the stress-induced accumulation of reactive oxygen species (ROS) [41,42,43]. Thus, understanding how TPS genes respond to such stresses in roses will help to develop strategies to improve their tolerance.
In this report, we identified and analyzed TPS family members in R. chinensis, a major modern roses progenitor, at the genome-wide level and investigated the gene structure, conserved motifs, phylogenetic relationships, tissue-specific expression profiles and expression patterns under abiotic stresses. The present research provides a valuable foundation that will help to understand the role of rose TPS genes during development and the stress response, as well their regulation and evolution, and will help to provide ideas for breeding new rose varieties with stronger resistance.

2. Materials and Methods

2.1. Plant Materials and Treatments

R. chinensis ‘Old Blush’ plants were grown in temperature and light-controlled growth chamber (25 °C, 60% relative humidity, 150 µE light intensity, 16 h light/8 h darkness). The plants were cultivated in separate pots (10 × 10 × 9 cm) containing a mixture of peat moss, vermiculite and perlite (3: 2: 1) and were irrigated twice a week. For heat treatment, 3-year-old rose plants were watered once before treatment and then incubated at 35 °C for 24 h, Petals were harvested at 0, 6, 12, 24 h post-treatment. For drought treatment, the plants were irrigated once before treatment using a 200 mM mannitol solution until it dripped out from the pot bottom. Petals were harvested at 0, 12, 24, 48 h post-treatment. All samples were immediately frozen in liquid nitrogen and stored at −80 °C until use. Total RNA was extracted using EASYspin plant RNA extraction kit (AidLab, Beijing, China) and genomic DNA was removed by on-column DNAse digestion. RNA was quantified using the NanoDrop 2000c spectrophotometer (Thermo Scientific, Wilmington, DE, USA) and RNA integrity was assessed by standard denaturing 1% TBE agarose gel electrophoresis. A total amount of 1 µg RNA was then reverse transcribed into cDNA using the TRUEscript RT MasterMix (AidLab, Beijing, China) with the following conditions: 42 °C for 20 min and 85 °C for 5 s. The cDNA was then diluted 10-fold and stored at −20 °C for qRT-PCR.

2.2. Identification of TPS Genes in R. chinensis

The reference rose genome sequence used in this study was downloaded from the R. chinensis ‘Old Blush’ genome website (https://lipmbrowsers.toulouse.inra.fr//pub/RchiOBHm-V2/, accessed on 24 February 2022) [31]. A. thaliana TPS (AtTPS) protein sequences were collected from the Arabidopsis Information Resource (https://www.arabidopsis.org/, accessed on 24 February 2022) [44] (Table S1). AtTPS were used as query sequences by BLASTP searches [45] (e-value 1 × 10−6) against the Rose’s protein sequences to predict the TPS family genes in R. chinensis. In parallel, we downloaded two specific TPS domains (PF03936 and PF01397) in the Pfam database (http://pfam.xfam.org/, accessed on 24 February 2022) and used HMM search tool [46] to identify the rose RcTPS genes as well. The genes obtained by the two approaches above, were compared and each predicted gene was subsequently verified through the SMART (http://smart.embl.de/, accessed on 24 February 2022) and NCBI-CDD searches (https://www.ncbi.nlm.nih.gov/cdd/, accessed on 24 February 2022) to further confirm the completeness of the TPS domain. Subcellular localization was predicted using the tools Plant-mPLoc (http://www.csbio.sjtu.edu.cn/bioinf/plantmulti/, accessed on 24 February 2022) and pLoc-mPlant (http://www.jcibioinfo.cn/pLoc-mPlant/, accessed on 24 February 2022).

2.3. Chromosomal Distribution, Duplication Event of RcTPS Genes

Duplication event of TPS family genes in rose genome was analyzed using MCScanX program with default parameters [47]. The chromosome position of each RcTPS gene was mapped on the assembled R. chinensis ‘Old Blush’ genome (https://lipmbrowsers.toulouse.inra.fr//pub/RchiOBHm-V2/, accessed on 24 February 2022) [31], using TBtools software [48].

2.4. Gene Structure, Conserved Motif and Phylogenetic Analysis

Multiple sequence alignments between the TPS protein sequences of R. chinensis, A. thaliana, S. lycopersicum and M. domestica were performed using MEGA7.0 software [49]. Neighbor-joining (NJ) method was used to construct the phylogenetic tree with bootstrap replications set to 1000 and other parameters set as default values. The information of exon-intron structures was downloaded from the R. chinensis ‘Old Blush’ genome website (https://lipmbrowsers.toulouse.inra.fr//pub/RchiOBHm-V2/, accessed on 24 February 2022) [31]. Conserved motifs of TPS proteins were analyzed using MEME program (http://www.meme-suite.org, accessed on 24 February 2022). The maximum number of predicted motifs in the parameters was set to 10, and the other parameters were set as default. The map of gene structure and conserved motifs was drawn using TBtools software.

2.5. Analysis of Cis-Acting Elements in the Promoter Region of RcTPS Genes

For each identified RcTPS gene, 2000-bp sequence located upstream ATG translation initiation codon, was extracted from the R. chinensis ‘Old Blush’ genome sequence [31], and was then submitted to the PlantCARE database (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/, accessed on 24 February 2022) to predict cis-acting elements.

2.6. Gene Expression Analysis Based on Transcriptome Data

Raw transcriptome data from nine different tissues (roots, stems, leaves, stamens, pistils, green petals in the flower buds (FB_GP), color-changing petals in the flower buds (FB_CP) and pink petals in the flower buds (FB_PP), and pink petals of the open flowers (OF_PP)), were downloaded from NCBI under BioProject PRJNA546486 [50] and BioProject PRJNA351281 [51]. The SRA files were converted to FASTQ files using the SRA toolkit (http://www.ncbi.nlm.nih.gov/Traces/sra/, accessed on 24 February 2022). Then the FastQC software [52] was used to assess read quality, and Trimmomatic [53] was used to discard low quality portions of reads (QUALITY: 15, LEADING: 20, TRAILING: 20, MINLEN: 50, SLIDINGWINDOW: 5: 20). The reads were subsequently mapped to R. chinensis ‘Old Blush’ genome with HISTA2 [54] and the bam files were processed to analyze gene expression quantitatively using StringTie [55] with default parameters. Fragments per kilobase per million mapped reads (FPKM) values were used to evaluate transcript abundance of RcTPS genes. The heat map of expression profiles of RcTPS genes in different tissues was drawn using the TBtools software. The expression levels of RcTPS genes are expressed by log2-based FPKM with row standardization, other parameters were set as default parameters.

2.7. qRT-PCR Analysis of RcTPS Genes under Different Treatment

Primers used for quantitative real-time PCR (qRT-PCR) analysis were designed by NCBI primer blast (https://www.ncbi.nlm.nih.gov/tools/primer-blast/, accessed on 24 February 2022) according to the CDSs of genes (Table S5). Reaction was performed using PowerUp SYBR Green Master Mix (ABI, Carlsbad, CA, USA). qRT-PCR was carried out in 384-well plates in a 10 μl volume on QuantStudio 6 and 7 Flex Real-Time PCR system (ABI, Carlsbad, CA, USA) with the following cycling parameters: heating at 95 °C for 2 min, 40 cycles of denaturation at 95 °C for 15 s, annealing at 60 °C for 15 s, and extension at 72 °C for 1 min. Each sample was conducted with three biological replicates and melt curves were generated to check the non-specific amplification for each well. The glyceraldehyde-3-phosphate dehydrogenase (RcGAPDH) was used as housekeeping gene to normalize samples [56]. The relative expression values and error values were calculated using the comparative CT(2−ΔΔCT) method [57]. Gene expression values were log2 transformed and the TBtools software was used to generate the heatmaps. Statistical analysis was performed using one-way ANOVA along with Duncan’s multiple range test using SAS version 9.4 (SAS Institute), and P <0.05 were considered significant.

3. Results

3.1. Identification, Classification and Properties of RcTPS Genes

To identify TPS genes in the R. chinensis genome, we performed a BLASTP search using known A. thaliana TPS protein sequences as queries. To further verify the identity of the detected rose TPS sequences, the hidden Markov model (HMM) profile of the conserved C-terminal domain (PF03936) and N-terminal (PF01397) domain of TPSs was downloaded from the Pfam database [58] and used as a query in the HMM search. All putative TPS genes were further confirmed by SMART [59] and NCBI-CDD searches for the presence of the complete domain. We identified 49 TPS gene candidates in the R. chinensis ‘Old Blush’ genome (named RcTPS01 to RcTPS49; Table 1). The lengths of the proteins encoded by these RcTPS genes varied from 455 (RcTPS07) to 857 (RcTPS49) amino acids. The predicted isoelectric points ranged from 5.06 (RcTPS43) to 8.91 (RcTPS47). The protein molecular weights varied between 52.89 kDa (RcTPS07) to 98.52 kDa (RcTPS49). According to two widely used subcellular localization predictors (Plant-mPLoc [60] and pLoc-mPlant [61]), 14 RcTPS proteins were predicted to be chloroplastic TPSs. The remaining 35 RcTPS proteins were predicted as chloroplastic or cytoplasmic TPSs.

3.2. Chromosomal Distribution, Duplication Event of RcTPS Genes

Genome chromosomal location analysis indicated that the 49 RcTPS genes were distributed on the seven rose chromosomes (Figure 2). Chromosome 5 contained the highest number (20) of RcTPS genes. So far only one TPS gene was located on chromosome 4, and two TPS genes were located on chromosome 2, the second longest rose chromosome, suggesting that there is no apparent correlation between chromosome size and RcTPS gene distribution.
To further study the evolution of rose RcTPS genes, we analyzed tandem duplication events and segmental duplication events on all seven chromosomes using the MCScanX tool. Four tandem duplication events with seven RcTPS genes were identified in the R. chinensis genome, whereas no pairs were confirmed as segmental duplications, indicating that tandem duplication events mainly contribute to the expansion of the TPS family in roses.

3.3. Phylogenetic Analysis of RcTPS Genes in R. chinensis

To investigate the classification and evolutionary relationships between RcTPS proteins, an unrooted phylogenetic tree was constructed based on alignments of the TPS proteins of R. chinensis, A. thaliana, S. lycopersicum and M. domestica using the neighbor-joining (NJ) method in MEGA 7.0 (Figure 3). The 49 RcTPS genes were classified into five subfamilies (TPS-a, TPS-b, TPS-c, TPS-g, TPS-e/f) based on phylogenetic analysis. Among the 49 RcTPS proteins, 48 members (RcTPS01 to RcTPS48) with high similarity could be classified as type I TPSs, whereas the remaining RcTPS49, which clustered in the same branch as AtTPS31, was classified as a type II TPS. Six TPS members (RcTPS09, RcTPS13, RcTPS19, RcTPS20, RcTPS33, RcTPS46) formed the TPS-b subfamily, 4 members (RcTPS35, RcTPS37, RcTPS40, RcTPS41) formed the TPS-g subfamily, 4 members (RcTPS02, RcTPS29, RcTPS31, RcTPS47) formed the TPS-e/f subfamily, and the remaining 34 members formed the TPS-a subfamily. The classification results were consistent with the previous report in Arabidopsis [18].

3.4. Gene Structure and Conserved Motif Analysis

To better understand the gene structure and evolutionary relationships, the intron–exon structure of each RcTPS gene was analyzed (Figure 4). The number of exons ranged from 5 to 14, and most of the RcTPS genes that clustered in the same subfamily showed a similar gene structure. RcTPS31 and RcTPS49 had the highest number of exons (14 exons), whereas RcTPS40 contained the fewest exons (5 exons). Except for RcTPS07, RcTPS27, RcTPS35, RcTPS40 and RcTPS41, all 44 remaining RcTPS genes of the subfamilies TPS-a, TPS-b and TPS-g contained 7 coding exons. Moreover, the RcTPS genes in the TPS-e/f subfamily contained more exons (10–14), which is similar to previously reported data in V. vinifera, D. officinale and E. grandis [19,23,27].
To further clarify the functional characteristics and specificities among the RcTPS proteins, 10 conserved protein motifs were identified using the MEME motif search tool. Each identified motif contained between 21 and 50 amino acids (Figure S1). Most RcTPS proteins in the same subfamily shared similar motif structures (Figure 5). Motif-1, motif-4, motif-6 and motif-8 were found in all RcTPS proteins. Motif-1 harbors an aspartate-rich region, DDXXD, representing the most typical conserved motif contained in the C-terminal of TPS proteins. Motif-7 was another important motif of the C-terminal domain in TPS proteins, which could be found in almost all RcTPS proteins of the subfamilies TPS-a, TPS-b, TPS-g and TPS-e/f. Previously, this motif, characterized by the consensus sequence (L,V)(V,L,A)(N,D)D(L,I,V)X(S,T)XXXE, was named NSE/DTE [62]. Both the DDXXD and NSE/DTE motifs are known to play an important role in cleaving prenyl diphosphate substrates by binding Mg2+ or Mn2+ at the C-terminus [1,14,15]. In rose TPSs, the DDXXD motif shows a higher level of conservation than the NSE/DTE motif. In addition, the arginine-tryptophan motif RRX8W (motif-9) was found in the N-terminus of all RcTPS-a and RcTPS-b proteins. This motif is known to play an essential role in the catalysis of monoterpene cyclization [3,15].

3.5. Analysis of Cis-Acting Elements in the Promoter Region of RcTPS Genes

Most of the functional cis-acting elements is concentrated within proximal promoters, usually in the region from − 1,000-bp to + 200-bp relative to the transcription start site (TSS) [63]. In this study, we analyzed the 2000-bp nucleotide sequence located upstream of the ATG initiation codon for all RcTPS genes using the PlantCARE database [64]. We identified three categories of cis-acting regulatory elements that share similarities with previously reported motifs associated with plant growth and development, phytohormone response and stress responses (Figure 6). Cis-acting regulatory elements involved in plant growth and development mainly include flowering regulation elements (CCAAT-box, AT-rich element, and MRE), endosperm-specific expression elements (GCN4-motif and AAGAA-motif), a shoot and root meristem expression element (CAT-box), a seed-specific regulation element (RY-element), and a shoot-specific expression element (As-1 element). Phytohormone-responsive elements included a salicylic acid-responsive element (TCA-element), gibberellin-responsive elements (P-boxes, GARE motifs, and TATC boxes), an auxin-responsive element (TGA-element), an ethylene-responsive element (ERE), an abscisic acid-responsive element (ABRE) and jasmonic acid-responsive elements (TGACG motifs and MYCs). The stress response category included defense and stress responsiveness (TC-rich repeats), wounding responses (WRE3 and WUN-motif), anaerobic induction (ARE), drought response (MBS), dehydration response (DRE), low temperature response (LTR) and stress response (STRE) (Figure 6). These data indicate that RcTPS genes are likely regulated by multiple phytohormones and abiotic stresses.

3.6. Expression Patterns of RcTPS Genes in Different Tissues of R. chinensis

The transcriptome data of nine rose tissues, including roots, stems, leaves, stamens, pistils and flowers, at different developmental stages were downloaded from the NCBI to analyze the tissue-specific expression patterns of RcTPS genes. RcTPS17, RcTPS29 and RcTPS45 were not expressed in any of the nine analyzed tissues. Sixteen percent (8 of 49), 6% (3 of 49) and 18% (9 of 49) of the RcTPS genes showed the highest transcript abundance in roots, stems and leaves, respectively. Notably, 53% (26 of 49) of the RcTPS genes showed the highest transcript abundance in floral organs. Among them, RcTPS23 showed the highest transcript abundance in the stamen; RcTPS02, RcTPS08, RcTPS11, RcTPS13, RcTPS22, RcTPS27, RcTPS31, RcTPS33, RcTPS40 and RcTPS41 in the pistil; RcTPS12 in the green petals of the flower bud; RcTPS20 and RcTPS37 in the color-changing petals of the flower bud; RcTPS14 and RcTPS19 in the pink petals of the flower bud; and RcTPS01, RcTPS06, RcTPS09, RcTPS16, RcTPS26, RcTPS34, RcTPS35, RcTPS36, RcTPS44 and RcTPS46 in the pink petals of the open flower (Figure 7). These data show that the rose RcTPS genes are expressed in different organs and in petals at different developmental stages, suggesting their potential roles in the biosynthesis of terpenoids in different organs and during petal development.

3.7. Expression Patterns of RcTPS Genes under Abiotic Stress

RcTPS genes harbored multiple cis-acting elements associated with the stress response. To further address whether the RcTPS genes could be regulated by abiotic stresses, we investigated their expression in the open flowers of R. chinensis under mannitol-caused osmotic stress (to mimic drought stress ) [65,66,67] and heat treatment at 35 °C. qRT–PCR analyses showed that 18% of the RcTPS genes (9 of 49) exhibited a decreasing expression trend under mannitol-induced osmotic stress, while 82% of the RcTPS genes (40 of 49) were upregulated upon mannitol treatment (Figure 8a).
After heat treatment at 35 °C for 6 h, 78% of the RcTPS (38 of 49) genes were upregulated, but the expression levels of these genes decreased with increasing heat treatment time (Figure 8b). In contrast, 22% of the RcTPS genes (11 of 49) exhibited a decreasing trend under heat treatment. These results show that the expression of RcTPS genes is regulated by heat and osmotic stresses, which indicates that in roses, the biosynthesis of terpenoids may be affected by abiotic stresses.

4. Discussion

Roses are highly appreciated ornamental plants, mainly for their flowers and delicate fragrances [33]. For many years, roses have been used in landscape greening, food, medicine, cosmetic production and especially as cut flowers [68,69,70]. However, roses often suffer from adverse unfavorable environmental conditions such as heat, salinity and drought. Plants produce specialized metabolites to adapt to their environments [71]. Volatile terpenoids play significant roles in resisting abiotic stress conditions [1,4,72]. In previous studies, phytoalexin terpenoids have been reported to accumulate in response to drought, salinity, ultraviolet and elevated CO2 stresses [73,74,75]. Additionally, floral terpenes were reported to protect reproductive organs from oxidative stress [76,77]. Terpene synthases play a leading role in catalyzing the formation of monoterpenes, sesquiterpenes, or diterpenes from the substrates GPP, FPP, or GGPP [3]. Previous studies on floral scent have mainly focused on the characterization and functional verification of the TPS genes [78,79,80]. We show here that the expression of TPS genes is modified in response to osmotic and heat stresses.
As a mid-sized gene family, the number of genes in the TPS family in different plant species range from approximately 20 to 150 [3]. In this study, 49 TPS genes were identified in the R. chinensis genome based on BLASTP searches and two conserved TPS domains, and they were divided into five subfamilies (TPS-a, TPS-b, TPS-c, TPS-g and TPS-e/f) based on gene phylogenetic analyses. No members of the TPS-d and TPS-h subfamilies were found in this rose genome. These results are consistent with previous studies which showed that the TPS-d subfamily was specific to gymnosperms and that the TPS-h subfamily was only found in S. moellendorffii [3,15,18]. TPS-a is the largest subfamily among RcTPS proteins (34 of 49), followed by TPS-b (6 of 49), which is consistent with previously reported data in A. thaliana (22 of the 32 TPS genes were TPS-a genes), S. lycopersicum (15 of the 34 TPS genes were TPS-a genes), S. italica (21 of the 32 TPS genes were TPS-a genes) and C. sinensis (28 of the 55 TPS genes were TPS-a genes) [18,21,24,25]. Previously, the TPS-a subfamily was reported to be an angiosperm-specific clade, further divided into dicot-specific and monocot-specific subgroups, and that the TPS-a proteins are sesquiterpene synthases or diterpene synthases, while the TPS-b subfamily numbers are responsible for monoterpene or isoprene synthesis [3]. In A. thaliana, four TPS-a proteins are cytosolic sesquiterpene synthases, one is a mitochondrial sesquiterpene synthase, and the remaining TPS-a proteins are plastidial or mitochondrial diterpene synthases. Six A. thaliana TPS-b proteins are monoterpene synthases that produce myrcene or ocimene [18]. In S. lycopersicum, all 15 TPS-a proteins have been reported to be sesquiterpene synthases [20]. In our study, 34 TPS proteins that all belong to the TPS-a subfamily in R. chinensis were predicted to be sesquiterpene synthases, 10 RcTPS proteins were predicted to be monoterpene synthases, and 5 RcTPS proteins were predicted to be diterpene synthases by the Terzyme database [81]. The 10 putative monoterpene synthases contained 6 TPS-b and 4 TPS-g proteins, and the 5 putative diterpene synthases harbored 1 TPS-c and 4 TPS-e/f proteins. These findings indicate that TPS proteins within the same subfamily may share similar functions. However, further functional analyses are required to confirm this hypothesis.
It was previously reported that plant TPS genes generally exhibit conserved intron–exon structures [18,19,82]. In R. chinensis, we found that 39 out of the 44 RcTPS genes of the subfamilies TPS-a, TPS-b and TPS-g contained 7 exons. Five of the remaining RcTPS genes contained fewer exons, probably because of intron loss. In contrast, RcTPS genes in the subfamilies TPS-c and TPS-e/f contained more exons (between 10 and 14), likely because of the presence of an additional exon encoding the ancestral 200 amino acids of unknown function at the N-terminus [7,18,83]. Previously, the features of RcTPS proteins were found to be related to two domains, one each at the N-terminus (PF01397) and C-terminus (PF03936) [1,84]. All RcTPS-a and RcTPS-b proteins contained the RRX8W motif at the N-terminus, a motif shared by monoterpene synthetases in angiosperms that is known to play an important role in monoterpene cyclization [3,17]. None of the RcTPS-g members contained the RRX8W motif, since the prominent feature of this subfamily of proteins is the rifeness of acyclic monoterpenes [3]. In addition, it was previously reported that TPS-g proteins can catalyze the biosynthesis of sesquiterpenes and diterpenes [85,86]. The in vivo terpene synthase products mainly depend on their subcellular location and substrate availability [87]. The DDXXD motif was found in all RcTPS proteins. This motif plays an important role in cleaving prenyl diphosphate substrates by binding the metal cofactor (Mg2+ or Mn2+) at the C-terminus. In addition to the conserved RRX8W and DDXXD motifs, NSE/DTE was another important conserved motif at the C-terminus, whose function is the same as that of DDXXD [1,14,15]. NSE/DTE could be found in almost all RcTPS proteins of the subfamilies TPS-a, TPS-b, TPS-g and TPS-e/f.
Expression analysis of RcTPS genes in different rose tissues indicated that RcTPS genes were mainly expressed in floral organs. RcTPS17, RcTPS29 and RcTPS45 were not expressed in any of the nine analyzed tissues at the analyzed stages, suggesting strict regulation of certain terpenoid biosynthesis genes in roses. Among the 26 RcTPS genes with the highest transcript abundance in floral organs (Figure 7), 14 (RcTPS01, 06, 08, 11, 12, 14, 16, 22, 23, 26, 27, 34, 36, 44) were predicted to encode putative sesquiterpene synthases, 10 (RcTPS09, 13, 19, 20, 33, 35, 37, 40, 41, 46) encode putative monoterpene synthases, and 2 (RcTPS02 and RcTPS31) encode putative diterpene synthases. It has been reported in R. chinensis that the contents of terpenoids are very low in flower buds. When the flowers open, the contents of terpenoids gradually increase and reach a maximum in open flowers, which is consistent with the trend of the transcript abundance of RcTPS genes during flowering [88]. These data suggest that RcTPS genes play essential roles in the biosynthesis of terpenes in the flower opening process of R. chinensis. However, previous studies reported that in roses, NUDX1 is involved in acyclic monoterpene biosynthesis [34,89]. Although, NUDX and TPS pathways relay on a common precursor, namely GPP, the relationship between these two monoterpene biosynthesis pathways remains unclear.
Increasing studies have shown that TPS genes are involved in plant development and responses to biotic and abiotic stresses [1,4,72,90]. It has been reported in many plant species that TPS genes could be regulated by multiple abiotic stresses and that they may have important roles in resistance to abiotic stresses [24,25,26,27]. Bioinformatics analysis identified multiple cis-acting elements that respond to abiotic stresses in the promoter region of RcTPS genes, and the average number of cis-acting elements related to abiotic stresses in the promoter region of RcTPS genes was eight, implying that they might have potential functions in response to abiotic stress. To verify this hypothesis, the expression patterns of RcTPS genes under two abiotic stresses were analyzed. Because the water deficit and the associated osmotic stress as well as high-temperature severely limit the growth and flowering of R. chinensis, we evaluated the expression levels of RcTPS genes under osmotic stress induced by mannitol and heat stress by exposure of plants to 35 °C. Our data showed that RcTPS genes exhibited different expression levels when the plants were subjected to heat or osmotic stress conditions. Under mannitol-induced osmotic stress and heat stress, the expression levels of most RcTPS genes were upregulated, indicating that these genes might be involved in osmotic and heat responses. Among the seven RcTPS genes with the highest transcript abundance in fully developed petals in open flowers, RcTPS06, RcTPS16, RcTPS34, RcTPS36 and RcTPS44 were downregulated and RcTPS46 and RcTPS01 were upregulated following osmotic and heat stress (Figure 9). Compared to osmotic stress, the peak expression of the RcTPS genes under heat treatment occurred relatively early, suggesting that the responses of RcTPS genes vary depending on the nature of the stress applied. These data pave the way for more studies to more precisely address the link between the control of terpenoid biosynthesis and the response to abiotic stresses in roses.

5. Conclusions

Herein, 49 TPS genes were identified in R. chinensis, a rose species that has played an important role in rose domestication. We divided theses TPS genes into five subfamilies. Their chromosomal localization, phylogenetic relationship, gene structure and conserved motifs were subsequently assessed. Cis-acting element analysis and expression patterns of RcTPS genes under osmotic and heat stresses indicated that RcTPS genes were regulated by abiotic stresses and that they might be involved in stress responses in roses. This study provides a foundation for further investigation on the functional role and regulation modes of RcTPS genes in roses.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/genes13030547/s1, Figure S1: Ten conserved motifs in R. chinensis TPS proteins identified by MEME tool. Table S1: Accession number of the TPS proteins represented in phylogenetic analysis. Table S2: The FPKM values of RcTPS genes in different R. chinensis tissues. Table S3: The expression values of RcTPS genes under 200 mM mannitol treatment for 48 h. Table S4: The expression values of RcTPS genes under heat treatment (35 °C) for 24 h. Table S5: Primers used for qRT-PCR analysis. Table S6: Functional annotation of RcTPS proteins by Terzyme (http://www.nipgr.ac.in/terzyme.html, accessed on 24 February 2022).

Author Contributions

Y.Y. designed and conducted the experiments. Y.Y., X.Z., W.K., M.B.(Mohammed Bendahmane), M.B. (Manzhu Bao) and X.F. analyzed the data and wrote and/or edited the manuscript. M.L. provided help with data analysis. All authors read and approved the final manuscript.

Funding

This research was funded by National Key R&D Program of China (2019YFD1000400).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Accession numbers of all the TPS genes used in this study and the candidate RcTPS genes are listed in Table S1 and Table 1, respectively. The rose genome database is available at: https://lipmbrowsers.toulouse.inra.fr//pub/RchiOBHm-V2/, accessed on 24 February 2022.

Acknowledgments

We are grateful for those make the rose genome and transcriptome data published online.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Tholl, D. Biosynthesis and Biological Functions of Terpenoids in Plants. In Advances in Biochemical Engineering-Biotechnology; Schrader, J., Bohlmann, J., Eds.; Annual Reviews: San Mateo, CA, USA, 2015; Volume 148, pp. 63–106. [Google Scholar]
  2. Boncan, D.A.T.; Tsang, S.S.K.; Li, C.; Lee, I.H.T.; Lam, H.-M.; Chan, T.-F.; Hui, J.H.L. Terpenes and Terpenoids in Plants: Interactions with Environment and Insects. Int. J. Mol. Sci. 2020, 21, 7382. [Google Scholar] [CrossRef]
  3. Chen, F.; Tholl, D.; Bohlmann, J.; Pichersky, E. The family of terpene synthases in plants: A mid-size family of genes for specialized metabolism that is highly diversified throughout the kingdom. Plant J. 2011, 66, 212–229. [Google Scholar] [CrossRef] [PubMed]
  4. Dudareva, N.; Klempien, A.; Muhlemann, J.K.; Kaplan, I. Biosynthesis, function and metabolic engineering of plant volatile organic compounds. New Phytol. 2013, 198, 16–32. [Google Scholar] [CrossRef] [PubMed]
  5. McGarvey, D.J.; Croteau, R. TERPENOID METABOLISM. Plant Cell 1995, 7, 1015–1026. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Lichtenthaler, H.K. The 1-deoxy-D-xylulose-5-phosphate pathway of isoprenoid biosynthesis in plants. Annu. Rev. Plant Physiol. Plant Mol. Biol. 1999, 50, 47–65. [Google Scholar] [CrossRef] [PubMed]
  7. Bohlmann, J.; Meyer-Gauen, G.; Croteau, R. Plant terpenoid synthases: Molecular biology and phylogenetic analysis. Proc. Natl. Acad. Sci. USA 1998, 95, 4126–4133. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Vranova, E.; Coman, D.; Gruissem, W. Network Analysis of the MVA and MEP Pathways for Isoprenoid Synthesis. In Annual Review of Plant Biology; Merchant, S.S., Ed.; Springer: Berlin, Germany, 2013; Volume 64, pp. 665–700. [Google Scholar]
  9. Boutanaev, A.M.; Moses, T.; Zi, J.; Nelson, D.R.; Mugford, S.T.; Peters, R.J.; Osbourn, A. Investigation of terpene diversification across multiple sequenced plant genomes. Proc. Natl. Acad. Sci. USA 2015, 112, E81–E88. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Pichersky, E.; Noel, J.P.; Dudareva, N. Biosynthesis of plant volatiles: Nature's diversity and ingenuity. Science 2006, 311, 808–811. [Google Scholar] [CrossRef] [Green Version]
  11. Gao, Y.; Honzatko, R.B.; Peters, R.J. Terpenoid synthase structures: A so far incomplete view of complex catalysis. Nat. Prod. Rep. 2012, 29, 1153–1175. [Google Scholar] [CrossRef] [Green Version]
  12. Hansen, N.L.; Heskes, A.M.; Hamberger, B.; Olsen, C.E.; Hallstrom, B.M.; Andersen-Ranberg, J.; Hamberger, B. The terpene synthase gene family in Tripterygium wilfordii harbors a labdane-type diterpene synthase among the monoterpene synthase TPS-b subfamily. Plant J. 2017, 89, 429–441. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Christianson, D.W. Structural and Chemical Biology of Terpenoid Cyclases. Chem. Rev. 2017, 117, 11570–11648. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Degenhardt, J.; Koellner, T.G.; Gershenzon, J. Monoterpene and sesquiterpene synthases and the origin of terpene skeletal diversity in plants. Phytochemistry 2009, 70, 1621–1637. [Google Scholar] [CrossRef]
  15. Jiang, S.-Y.; Jin, J.; Sarojam, R.; Ramachandran, S. A Comprehensive Survey on the Terpene Synthase Gene Family Provides New Insight into Its Evolutionary Patterns. Genome Biol. Evol. 2019, 11, 2078–2098. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Zerbe, P.; Bohlmann, J. Plant diterpene synthases: Exploring modularity and metabolic diversity for bioengineering. Trends Biotechnol. 2015, 33, 419–428. [Google Scholar] [CrossRef] [PubMed]
  17. Dudareva, N.; Martin, D.; Kish, C.M.; Kolosova, N.; Gorenstein, N.; Faldt, J.; Miller, B.; Bohlmann, J. (E)-β-ocimene and myrcene synthase genes of floral scent biosynthesis in snapdragon: Function and expression of three terpene synthase genes of a new terpene synthase subfamily. Plant Cell 2003, 15, 1227–1241. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Aubourg, S.; Lecharny, A.; Bohlmann, J. Genomic analysis of the terpenoid synthase (AtTPS) gene family of Arabidopsis thaliana. Mol. Genet. Genom. 2002, 267, 730–745. [Google Scholar] [CrossRef]
  19. Martin, D.M.; Aubourg, S.; Schouwey, M.B.; Daviet, L.; Schalk, M.; Toub, O.; Lund, S.T.; Bohlmann, J. Functional Annotation, Genome Organization and Phylogeny of the Grapevine (Vitis vinifera) Terpene Synthase Gene Family Based on Genome Assembly, FLcDNA Cloning, and Enzyme Assays. Bmc Plant Biol. 2010, 10. [Google Scholar] [CrossRef] [Green Version]
  20. Falara, V.; Akhtar, T.A.; Nguyen, T.T.H.; Spyropoulou, E.A.; Bleeker, P.M.; Schauvinhold, I.; Matsuba, Y.; Bonini, M.E.; Schilmiller, A.L.; Last, R.L.; et al. The Tomato Terpene Synthase Gene Family. Plant Physiol. 2011, 157, 770–789. [Google Scholar] [CrossRef] [Green Version]
  21. Zhou, F.; Pichersky, E. The complete functional characterisation of the terpene synthase family in tomato. New Phytol. 2020, 226, 1341–1360. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Nieuwenhuizen, N.J.; Green, S.A.; Chen, X.; Bailleul, E.J.D.; Matich, A.J.; Wang, M.Y.; Atkinson, R.G. Functional Genomics Reveals That a Compact Terpene Synthase Gene Family Can Account for Terpene Volatile Production in Apple. Plant Physiol. 2013, 161, 787–804. [Google Scholar] [CrossRef] [Green Version]
  23. Kuelheim, C.; Padovan, A.; Hefer, C.; Krause, S.T.; Koellner, T.G.; Myburg, A.A.; Degenhardt, J.; Foley, W.J. The Eucalyptus terpene synthase gene family. Bmc Genom. 2015, 16. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Alquezar, B.; Rodriguez, A.; de la Pena, M.; Pena, L. Genomic Analysis of Terpene Synthase Family and Functional Characterization of Seven Sesquiterpene Synthases from Citrus sinensis. Front. Plant Sci. 2017, 8. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Karunanithi, P.S.; Berrios, D.I.; Wang, S.; Davis, J.; Shen, T.; Fiehn, O.; Maloof, J.N.; Zerbe, P. The foxtail millet (Setaria italica) terpene synthase gene family. Plant J. 2020, 103, 781–800. [Google Scholar] [CrossRef] [PubMed]
  26. Zhou, H.-C.; Shamala, L.F.; Yi, X.-K.; Yan, Z.; Wei, S. Analysis of Terpene Synthase Family Genes in Camellia sinensis with an Emphasis on Abiotic Stress Conditions. Sci. Rep. 2020, 10. [Google Scholar] [CrossRef] [PubMed]
  27. Yu, Z.; Zhao, C.; Zhang, G.; da Silva, J.A.T.; Duan, J. Genome-Wide Identification and Expression Profile of TPS Gene Family in Dendrobium officinale and the Role of DoTPS10 in Linalool Biosynthesis. Int. J. Mol. Sci. 2020, 21, 5419. [Google Scholar] [CrossRef]
  28. Li, R.-S.; Zhu, J.-H.; Guo, D.; Li, H.-L.; Wang, Y.; Ding, X.-P.; Mei, W.-L.; Chen, Z.-B.; Dai, H.-F.; Peng, S.-Q. Genome-wide identification and expression analysis of terpene synthase gene family in Aquilaria sinensis. Plant Physiol. Biochem. 2021, 164, 185–194. [Google Scholar] [CrossRef] [PubMed]
  29. Hayashi, K.-i.; Kawaide, H.; Notomi, M.; Sakigi, Y.; Matsuo, A.; Nozaki, H. Identification and functional analysis of bifunctional ent-kaurene synthase from the moss Physcomitrella patens. Febs Lett. 2006, 580, 6175–6181. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Guterman, I.; Shalit, M.; Menda, N.; Piestun, D.; Dafny-Yelin, M.; Shalev, G.; Bar, E.; Davydov, O.; Ovadis, M.; Emanuel, M.; et al. Rose scent: Genomics approach to discovering novel floral fragrance-related genes. Plant Cell 2002, 14, 2325–2338. [Google Scholar] [CrossRef] [Green Version]
  31. Raymond, O.; Gouzy, J.; Just, J.; Badouin, H.; Verdenaud, M.; Lemainque, A.; Vergne, P.; Moja, S.; Choisne, N.; Pont, C.; et al. The Rosa genome provides new insights into the domestication of modern roses. Nat. Genet. 2018, 50, 772. [Google Scholar] [CrossRef]
  32. Huang, P.; Lin, F.; Li, B.; Zheng, Y. Hybrid-Transcriptome Sequencing and Associated Metabolite Analysis Reveal Putative Genes Involved in Flower Color Difference in Rose Mutants. Plants 2019, 8, 267. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Bendahmane, M.; Dubois, A.; Raymond, O.; Le Bris, M. Genetics and genomics of flower initiation and development in roses. J. Exp. Bot. 2013, 64, 847–857. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Magnard, J.-L.; Roccia, A.; Caissard, J.-C.; Vergne, P.; Sun, P.; Hecquet, R.; Dubois, A.; Hibrand-Saint Oyant, L.; Jullien, F.; Nicole, F.; et al. Biosynthesis of monoterpene scent compounds in roses. Science 2015, 349, 81–83. [Google Scholar] [CrossRef] [Green Version]
  35. Huang, F.-C.; Horvath, G.; Molnar, P.; Turcsi, E.; Deli, J.; Schrader, J.; Sandmann, G.; Schmidt, H.; Schwab, W. Substrate promiscuity of RdCCD1, a carotenoid cleavage oxygenase from Rosa damascena. Phytochemistry 2009, 70, 457–464. [Google Scholar] [CrossRef] [PubMed]
  36. Li, W.; Fu, L.; Geng, Z.; Zhao, X.; Liu, Q.; Jiang, X. Physiological Characteristic Changes and Full-Length Transcriptome of Rose (Rosa chinensis) Roots and Leaves in Response to Drought Stress. Plant Cell Physiol. 2020, 61, 2153–2166. [Google Scholar] [CrossRef]
  37. Qi, W.; Zhang, C.; Wang, W.; Cao, Z.; Li, S.; Li, H.; Zhu, W.; Huang, Y.; Bao, M.; He, Y.; et al. Comparative transcriptome analysis of different heat stress responses between self-root grafting line and heterogeneous grafting line in rose. Hortic. Plant J. 2021, 7, 243–255. [Google Scholar] [CrossRef]
  38. Chimonidou-Pavlidou, D. Malformation of roses due to drought stress. Sci. Hortic. 2004, 99, 79–87. [Google Scholar] [CrossRef]
  39. Dela, G.; Or, E.; Ovadia, R.; Nissim-Levi, A.; Weiss, D.; Oren-Shamir, M. Changes in anthocyanin concentration and composition in 'Jaguar' rose flowers due to transient high-temperature conditions. Plant Sci. 2003, 164, 333–340. [Google Scholar] [CrossRef]
  40. Xie, L.; Zhang, H.; Li, D. Physiological responses of garden roses to hot and humid conditions. Hortic. Sci. 2019, 46, 26–33. [Google Scholar] [CrossRef] [Green Version]
  41. Sharkey, T.D.; Singsaas, E.L. Why Plants Emit Isoprene. Nature 1995, 374, 769. [Google Scholar] [CrossRef]
  42. Siwko, M.E.; Marrink, S.J.; de Vries, A.H.; Kozubek, A.; Uiterkamp, A.J.M.S.; Mark, A.E. Does isoprene protect plant membranes from thermal shock? A molecular dynamics study. Biochim. Et Biophys. Acta-Biomembr. 2007, 1768, 198–206. [Google Scholar] [CrossRef] [Green Version]
  43. Loreto, F.; Schnitzler, J.-P. Abiotic stresses and induced BVOCs. Trends Plant Sci. 2010, 15, 154–166. [Google Scholar] [CrossRef]
  44. Berardini, T.Z.; Reiser, L.; Li, D.; Mezheritsky, Y.; Muller, R.; Strait, E.; Huala, E. The arabidopsis information resource: Making and mining the ‘gold standard’ annotated reference plant genome. Genesis 2015, 53, 474–485. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Altschul, S.F.; Gish, W.; Miller, W.; Myers, E.W.; Lipman, D.J. Basic Local Alignment Search Tool. J. Mol. Biol. 1990, 215, 403–410. [Google Scholar] [CrossRef]
  46. Finn, R.D.; Clements, J.; Eddy, S.R. HMMER web server: Interactive sequence similarity searching. Nucleic Acids Res. 2011, 39, W29–W37. [Google Scholar] [CrossRef] [Green Version]
  47. Wang, Y.; Tang, H.; DeBarry, J.D.; Tan, X.; Li, J.; Wang, X.; Lee, T.-h.; Jin, H.; Marler, B.; Guo, H.; et al. MCScanX: A toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 2012, 40. [Google Scholar] [CrossRef] [Green Version]
  48. Chen, C.; Chen, H.; Zhang, Y.; Thomas, H.R.; Frank, M.H.; He, Y.; Xia, R. TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data. Mol. Plant 2020, 13, 1194–1202. [Google Scholar] [CrossRef]
  49. Kumar, S.; Stecher, G.; Li, M.; Knyaz, C.; Tamura, K. MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. Mol. Biol. Evol. 2018, 35, 1547–1549. [Google Scholar] [CrossRef] [PubMed]
  50. Han, Y.; Wan, H.; Cheng, T.; Wang, J.; Yang, W.; Pan, H.; Zhang, Q. Comparative RNA-seq analysis of transcriptome dynamics during petal development in Rosa chinensis. Sci. Rep. 2017, 7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Han, Y.; Yu, J.; Zhao, T.; Cheng, T.; Wang, J.; Yang, W.; Pan, H.; Zhang, Q. Dissecting the Genome-Wide Evolution and Function of R2R3-MYB Transcription Factor Family in Rosa chinensis. Genes 2019, 10, 823. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Wingett, S.W.; Andrews, S. FastQ Screen: A tool for multi-genome mapping and quality control. F1000Research 2018, 7, 1338. [Google Scholar] [CrossRef] [PubMed]
  53. Bolger, A.M.; Lohse, M.; Usadel, B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics 2014, 30, 2114–2120. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Kim, D.; Paggi, J.M.; Park, C.; Bennett, C.; Salzberg, S.L. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat. Biotechnol. 2019, 37, 907. [Google Scholar] [CrossRef] [PubMed]
  55. Pertea, M.; Pertea, G.M.; Antonescu, C.M.; Chang, T.-C.; Mendell, J.T.; Salzberg, S.L. StringTie enables improved reconstruction of a transcriptome from RNA-seq reads. Nat. Biotechnol. 2015, 33, 290. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Lu, J.; Sun, J.; Jiang, A.; Bai, M.; Fan, C.; Liu, J.; Ning, G.; Wang, C. Alternate expression of CONSTANS-LIKE 4 in short days and CONSTANS in long days facilitates day-neutral response in Rosa chinensis. J. Exp. Bot. 2020, 71, 4057–4068. [Google Scholar] [CrossRef] [PubMed]
  57. Zhang, X.; Wang, Q.; Yang, S.; Lin, S.; Bao, M.; Bendahmane, M.; Wu, Q.; Wang, C.; Fu, X. Identification and Characterization of the MADS-Box Genes and Their Contribution to Flower Organ in Carnation (Dianthus caryophyllus L.). Genes 2018, 9, 193. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  58. Finn, R.D.; Coggill, P.; Eberhardt, R.Y.; Eddy, S.R.; Mistry, J.; Mitchell, A.L.; Potter, S.C.; Punta, M.; Qureshi, M.; Sangrador-Vegas, A.; et al. The Pfam protein families database: Towards a more sustainable future. Nucleic Acids Res. 2016, 44, D279–D285. [Google Scholar] [CrossRef] [PubMed]
  59. Letunic, I.; Bork, P. 20 years of the SMART protein domain annotation resource. Nucleic Acids Res. 2018, 46, D493–D496. [Google Scholar] [CrossRef]
  60. Chou, K.-C.; Shen, H.-B. Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization. PLoS ONE 2010, 5, e11335. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  61. Cheng, X.; Xiao, X.; Chou, K.-C. pLoc-mPlant: Predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC. Mol. Biosyst. 2017, 13, 1722–1727. [Google Scholar] [CrossRef]
  62. Rynkiewicz, M.J.; Cane, D.E.; Christianson, D.W. Structure of trichodiene synthase from Fusarium sporotrichioides provides mechanistic inferences on the terpene cyclization cascade. Proc. Natl. Acad. Sci. USA 2001, 98, 13543–13548. [Google Scholar] [CrossRef] [Green Version]
  63. Yu, C.-P.; Lin, J.-J.; Li, W.-H. Positional distribution of transcription factor binding sites in Arabidopsis thaliana. Sci. Rep. 2016, 6. [Google Scholar] [CrossRef] [PubMed]
  64. Lescot, M.; Dehais, P.; Thijs, G.; Marchal, K.; Moreau, Y.; Van de Peer, Y.; Rouze, P.; Rombauts, S. PlantCARE, a database of plant cis-acting regulatory elements and a portal to tools for in silico analysis of promoter sequences. Nucleic Acids Res. 2002, 30, 325–327. [Google Scholar] [CrossRef] [PubMed]
  65. Knight, H.; Brandt, S.; Knight, M.R. A history of stress alters drought calcium signalling pathways in Arabidopsis. Plant J. 1998, 16, 681–687. [Google Scholar] [CrossRef] [Green Version]
  66. Li, J.; Yu, D.; Qanmber, G.; Lu, L.; Wang, L.; Zheng, L.; Liu, Z.; Wu, H.; Liu, X.; Chen, Q.; et al. GhKLCR1, a kinesin light chain-related gene, induces drought-stress sensitivity in Arabidopsis. Sci. China-Life Sci. 2019, 62, 63–75. [Google Scholar] [CrossRef] [PubMed]
  67. Xu, Y.; Jin, Z.; Xu, B.; Li, J.; Li, Y.; Wang, X.; Wang, A.; Hu, W.; Huang, D.; Wei, Q.; et al. Identification of transcription factors interacting with a 1274 bp promoter of MaPIP1;1 which confers high-level gene expression and drought stress Inducibility in transgenic Arabidopsis thaliana. Bmc Plant Biol. 2020, 20. [Google Scholar] [CrossRef] [PubMed]
  68. Qi, W.; Chen, X.; Fang, P.; Shi, S.; Li, J.; Liu, X.; Cao, X.; Zhao, N.; Hao, H.; Li, Y.; et al. Genomic and transcriptomic sequencing of Rosa hybrida provides microsatellite markers for breeding, flower trait improvement and taxonomy studies. Bmc Plant Biol. 2018, 18. [Google Scholar] [CrossRef]
  69. Dubois, A.; Raymond, O.; Maene, M.; Baudino, S.; Langlade, N.B.; Boltz, V.; Vergne, P.; Bendahmane, M. Tinkering with the C-Function: A Molecular Frame for the Selection of Double Flowers in Cultivated Roses. PLoS ONE 2010, 5, e9288. [Google Scholar] [CrossRef] [PubMed]
  70. Liu, X.; Cao, X.; Shi, S.; Zhao, N.; Li, D.; Fang, P.; Chen, X.; Qi, W.; Zhang, Z. Comparative RNA-Seq analysis reveals a critical role for brassinosteroids in rose (Rosa hybrida) petal defense against Botrytis cinerea infection. Bmc Genet. 2018, 19. [Google Scholar] [CrossRef] [PubMed]
  71. Murphy, K.M.; Zerbe, P. Specialized diterpenoid metabolism in monocot crops: Biosynthesis and chemical diversity. Phytochemistry 2020, 172. [Google Scholar] [CrossRef]
  72. Campbell, D.R.; Sosenski, P.; Raguso, R.A. Phenotypic plasticity of floral volatiles in response to increasing drought stress. Ann. Bot. 2019, 123, 601–610. [Google Scholar] [CrossRef]
  73. Vaughan, M.M.; Christensen, S.; Schmelz, E.A.; Huffaker, A.; McAuslane, H.J.; Alborn, H.T.; Romero, M.; Allen, L.H.; Teal, P.E.A. Accumulation of terpenoid phytoalexins in maize roots is associated with drought tolerance. Plant Cell Environ. 2015, 38, 2195–2207. [Google Scholar] [CrossRef] [PubMed]
  74. Kodama, O.; Suzuki, T.; Miyakawa, J.; Akatsuka, T. Ultraviolet-Induced Accumulation of Phytoalexins in Rice Leaves. Agric. Biol. Chem. 1988, 52, 2469–2473. [Google Scholar] [CrossRef]
  75. Vaughan, M.M.; Huffaker, A.; Schmelz, E.A.; Dafoe, N.J.; Christensen, S.; Sims, J.; Martins, V.F.; Swerbilow, J.; Romero, M.; Alborn, H.T.; et al. Effects of elevated [CO2] on maize defence against mycotoxigenic Fusarium verticillioides. Plant Cell Environ. 2014, 37, 2691–2706. [Google Scholar] [CrossRef] [PubMed]
  76. Chen, F.; Tholl, D.; D'Auria, J.C.; Farooq, A.; Pichersky, E.; Gershenzon, J. Biosynthesis and emission of terpenoid volatiles from Arabidopsis flowers. Plant Cell 2003, 15, 481–494. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Martin, D.M.; Toub, O.; Chiang, A.; Lo, B.C.; Ohse, S.; Lund, S.T.; Bohlmann, J. The bouquet of grapevine (Vitis vinifera L. cv. Cabernet Sauvignon) flowers arises from the biosynthesis of sesquiterpene volatiles in pollen grains. Proc. Natl. Acad. Sci. USA 2009, 106, 7245–7250. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  78. Sofia Lima, A.; Schimmel, J.; Lukas, B.; Novak, J.; Barroso, J.G.; Cristina Figueiredo, A.; Pedro, L.G.; Degenhardt, J.; Trindade, H. Genomic characterization, molecular cloning and expression analysis of two terpene synthases from Thymus caespititius (Lamiaceae). Planta 2013, 238, 191–204. [Google Scholar] [CrossRef] [PubMed]
  79. Abbas, F.; Ke, Y.; Yu, R.; Fan, Y. Functional characterization and expression analysis of two terpene synthases involved in floral scent formation in Lilium “Siberia”. Planta 2019, 249, 71–93. [Google Scholar] [CrossRef] [PubMed]
  80. Zhang, T.; Guo, Y.; Shi, X.; Yang, Y.; Chen, J.; Zhang, Q.; Sun, M. Overexpression of LiTPS2 from a cultivar of lily (Lilium 'Siberia') enhances the monoterpenoids content in tobacco flowers. Plant Physiol. Biochem. 2020, 151, 391–399. [Google Scholar] [CrossRef] [PubMed]
  81. Priya, P.; Yadav, A.; Chand, J.; Yadav, G. Terzyme: A tool for identification and analysis of the plant terpenome. Plant Methods 2018, 14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  82. Trapp, S.C.; Croteau, R.B. Genomic organization of plant terpene synthases and molecular evolutionary implications. Genetics 2001, 158, 811–832. [Google Scholar] [CrossRef]
  83. Tholl, D. Terpene synthases and the regulation, diversity and biological roles of terpene metabolism. Curr. Opin. Plant Biol. 2006, 9, 297–304. [Google Scholar] [CrossRef] [PubMed]
  84. Starks, C.M.; Back, K.W.; Chappell, J.; Noel, J.P. Structural basis for cyclic terpene biosynthesis by tobacco 5-epi-aristolochene synthase. Science 1997, 277, 1815–1820. [Google Scholar] [CrossRef] [Green Version]
  85. Li, F.; Li, W.; Lin, Y.-J.; Pickett, J.A.; Birkett, M.A.; Wu, K.; Wang, G.; Zhou, J.-J. Expression of lima bean terpene synthases in rice enhances recruitment of a beneficial enemy of a major rice pest. Plant Cell Environ. 2018, 41, 111–120. [Google Scholar] [CrossRef] [PubMed]
  86. Richter, A.; Schaff, C.; Zhang, Z.; Lipka, A.E.; Tian, F.; Kollner, T.G.; Schnee, C.; Preiss, S.; Irmisch, S.; Jander, G.; et al. Characterization of Biosynthetic Pathways for the Production of the Volatile Homoterpenes DMNT and TMTT in Zea mays. Plant Cell 2016, 28, 2651–2665. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  87. Arimura, G.-I.; Garms, S.; Maffei, M.; Bossi, S.; Schulze, B.; Leitner, M.; Mithofer, A.; Boland, W. Herbivore-induced terpenoid emission in Medicago truncatula: Concerted action of jasmonate, ethylene and calcium signaling. Planta 2008, 227, 453–464. [Google Scholar] [CrossRef] [Green Version]
  88. Zhou, L.; Yu, C.; Cheng, B.; Han, Y.; Luo, L.; Pan, H.; Zhang, Q. Studies on the volatile compounds in flower extracts of Rosa odorata and R. chinensis. Ind. Crop. Prod. 2020, 146. [Google Scholar] [CrossRef]
  89. Magnard, J.-L.; Bony, A.R.; Bettini, F.; Campanaro, A.; Blerot, B.; Baudino, S.; Jullien, F. Linalool and linalool nerolidol synthases in roses, several genes for little scent. Plant Physiol. Biochem. 2018, 127, 74–87. [Google Scholar] [CrossRef]
  90. McCormick, A.C.; Unsicker, S.B.; Gershenzon, J. The specificity of herbivore-induced plant volatiles in attracting herbivore enemies. Trends Plant Sci. 2012, 17, 303–310. [Google Scholar] [CrossRef] [PubMed]
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Figure 1. Terpene biosynthesis pathway in the rose. Black arrows indicate that the biosynthetic step has been identified in rose or other species. Blue arrows indicate putative steps with unknown enzymes. AACT, acetoacetyl-CoA thiolase; CCD, carotenoid cleavage dioxygenase; CMK, 4-(cytidine 5’-diphospho)-2-C-methyl-D-erythritol kinase; DMAPP, dimethylallyl diphosphate; DXR, 1-deoxy-D-xylulose 5-phosphate reductoisomerase; DXS, 1-deoxy-D-xylulose 5-phosphate synthase; FPP, farnesyl diphosphate; FPPS, farnesyl diphosphate synthase; G3P, glyceraldehyde 3-phosphate; GGPP, geranylgeranyl diphosphate; GGPPS, geranylgeranyl diphosphate synthase; GPP, geranyl diphosphate; GPPS, geranyl diphosphate synthase; HDR, 1-hydroxy-2-methyl-2-butenyl 4-diphosphate reductase; HDS, 1-hydroxy-2-methyl-2-butenyl 4-diphosphate synthase; HMBPP, 1-hydroxy-2-methyl-2-(E)-butenyl 4-diphosphate; HMGR, 3-hydroxy-3-methylglutaryl CoA reductase; HMGS, 3-hydroxy-3-methylglutaryl CoA synthase; IDI, isopentenyl diphosphate isomerase; IPP, isopentenyl diphosphate; MCT, 2-C-methyl-D-erythritol 4-phosphate cytidyltransferase; MDS, 2-C-methyl-D-erythritol 2,4-cyclodiphosphate synthase; MVD, 5-diphosphomevalonate decarboxylase; MEP, 2-C-methyl-D-erythritol 4-phosphate; MVA, mevalonic acid; MVK, mevalonate kinase; NUDX1, nudix hydrolase1; PMK, 5-phosphomevalonate kinase; TPS, terpene synthase.
Figure 1. Terpene biosynthesis pathway in the rose. Black arrows indicate that the biosynthetic step has been identified in rose or other species. Blue arrows indicate putative steps with unknown enzymes. AACT, acetoacetyl-CoA thiolase; CCD, carotenoid cleavage dioxygenase; CMK, 4-(cytidine 5’-diphospho)-2-C-methyl-D-erythritol kinase; DMAPP, dimethylallyl diphosphate; DXR, 1-deoxy-D-xylulose 5-phosphate reductoisomerase; DXS, 1-deoxy-D-xylulose 5-phosphate synthase; FPP, farnesyl diphosphate; FPPS, farnesyl diphosphate synthase; G3P, glyceraldehyde 3-phosphate; GGPP, geranylgeranyl diphosphate; GGPPS, geranylgeranyl diphosphate synthase; GPP, geranyl diphosphate; GPPS, geranyl diphosphate synthase; HDR, 1-hydroxy-2-methyl-2-butenyl 4-diphosphate reductase; HDS, 1-hydroxy-2-methyl-2-butenyl 4-diphosphate synthase; HMBPP, 1-hydroxy-2-methyl-2-(E)-butenyl 4-diphosphate; HMGR, 3-hydroxy-3-methylglutaryl CoA reductase; HMGS, 3-hydroxy-3-methylglutaryl CoA synthase; IDI, isopentenyl diphosphate isomerase; IPP, isopentenyl diphosphate; MCT, 2-C-methyl-D-erythritol 4-phosphate cytidyltransferase; MDS, 2-C-methyl-D-erythritol 2,4-cyclodiphosphate synthase; MVD, 5-diphosphomevalonate decarboxylase; MEP, 2-C-methyl-D-erythritol 4-phosphate; MVA, mevalonic acid; MVK, mevalonate kinase; NUDX1, nudix hydrolase1; PMK, 5-phosphomevalonate kinase; TPS, terpene synthase.
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Figure 2. Localization of the 49 TPS genes in R. chinensis 7 chromosomes. The scale bar on the left indicates the size of the chromosome. Gene name colors indicate different subgroups, and red lines indicate tandem repeats.
Figure 2. Localization of the 49 TPS genes in R. chinensis 7 chromosomes. The scale bar on the left indicates the size of the chromosome. Gene name colors indicate different subgroups, and red lines indicate tandem repeats.
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Genes 13 00547 g003 550
Figure 3. Phylogenetic analysis of TPSs in R. chinensis, A. thaliana and other species. Subfamilies are highlighted with different colors. Species: R. chinensis (Rc); A. thaliana (At); S. lycopersicum (Sl); M. domestica (Md).
Figure 3. Phylogenetic analysis of TPSs in R. chinensis, A. thaliana and other species. Subfamilies are highlighted with different colors. Species: R. chinensis (Rc); A. thaliana (At); S. lycopersicum (Sl); M. domestica (Md).
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Figure 4. Exon–intron structure analyses of RcTPS genes. The blue and grey boxes indicate CDS and UTR, respectively. Lines indicate introns.
Figure 4. Exon–intron structure analyses of RcTPS genes. The blue and grey boxes indicate CDS and UTR, respectively. Lines indicate introns.
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Figure 5. Conserved motifs analyses of RcTPS proteins identified by the MEME program. Motifs are indicted with different color boxes.
Figure 5. Conserved motifs analyses of RcTPS proteins identified by the MEME program. Motifs are indicted with different color boxes.
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Figure 6. Cis-acting elements distribution in the promoter region of RcTPS genes. Different color boxes represent different cis-acting elements. Cis-acting elements related to plant growth and development, stress response and phytohormone response are shown by triangular, oval or rectangular boxes, respectively.
Figure 6. Cis-acting elements distribution in the promoter region of RcTPS genes. Different color boxes represent different cis-acting elements. Cis-acting elements related to plant growth and development, stress response and phytohormone response are shown by triangular, oval or rectangular boxes, respectively.
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Figure 7. Heatmap of the expression profiles of RcTPS genes in different R. chinensis organs generated using TBtools software. The expression abundance of each transcript is represented by the color bar: red, higher expression; blue, lower expression. FB_GP: green petals in the flower buds; FB_CP: color-changing petals in the flower buds; FB_PP: pink petals in the flower buds; OF_PP: pink petals of the open flowers.
Figure 7. Heatmap of the expression profiles of RcTPS genes in different R. chinensis organs generated using TBtools software. The expression abundance of each transcript is represented by the color bar: red, higher expression; blue, lower expression. FB_GP: green petals in the flower buds; FB_CP: color-changing petals in the flower buds; FB_PP: pink petals in the flower buds; OF_PP: pink petals of the open flowers.
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Figure 8. Expression profiles of RcTPS genes in petals of fully open flowers of R. chinensis under osmotic and heat stresses. (a) Expression profiles of RcTPS genes in response to 200 mM mannitol treatment for 48 h. (b) Expression profiles of RcTPS genes in response to heat treatment (35 °C) for 24 h. Heatmap was drawn using TBtools software.
Figure 8. Expression profiles of RcTPS genes in petals of fully open flowers of R. chinensis under osmotic and heat stresses. (a) Expression profiles of RcTPS genes in response to 200 mM mannitol treatment for 48 h. (b) Expression profiles of RcTPS genes in response to heat treatment (35 °C) for 24 h. Heatmap was drawn using TBtools software.
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Figure 9. Expression patterns of the RcTPS genes with the highest transcript abundance in petals of fully open flowers under osmotic (200 mM mannitol) and heat (35 °C) treatment.
Figure 9. Expression patterns of the RcTPS genes with the highest transcript abundance in petals of fully open flowers under osmotic (200 mM mannitol) and heat (35 °C) treatment.
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Table
Table 1. Characterization of TPS family identified in R. chinensis.
Table 1. Characterization of TPS family identified in R. chinensis.
GeneAccession NumberChrAA
(aa)		MW
(kDa)		pISubcellular
Localization		Subfamily
RcTPS01RchiOBHm_Chr6g0265741656765.925.16Chloroplast a/Cytoplasm bTPS-a
RcTPS02RchiOBHm_Chr5g0023641572481.885.72Chloroplast a, bTPS-e/f
RcTPS03RchiOBHm_Chr5g0044191556565.405.25Chloroplast a/Cytoplasm bTPS-a
RcTPS04RchiOBHm_Chr7g0210371756565.345.07Chloroplast a/Cytoplasm bTPS-a
RcTPS05RchiOBHm_Chr3g0475221356064.875.17Chloroplast a, bTPS-a
RcTPS06RchiOBHm_Chr5g0059511555764.725.95Chloroplast a/Cytoplasm bTPS-a
RcTPS07RchiOBHm_Chr6g0246011645552.896.07Chloroplast a/Cytoplasm bTPS-a
RcTPS08RchiOBHm_Chr5g0059541554462.755.19Chloroplast a/Cytoplasm bTPS-a
RcTPS09RchiOBHm_Chr5g0004631558367.005.14Chloroplast a, bTPS-b
RcTPS10RchiOBHm_Chr1g0326061158066.905.22Chloroplast a/Cytoplasm bTPS-a
RcTPS11RchiOBHm_Chr3g0474501356064.585.17Chloroplast a, bTPS-a
RcTPS12RchiOBHm_Chr7g0228501753962.165.43Chloroplast a/Cytoplasm bTPS-a
RcTPS13RchiOBHm_Chr6g0252721656965.745.59Chloroplast a/Cytoplasm bTPS-b
RcTPS14RchiOBHm_Chr5g0065101555764.235.18Chloroplast a/Cytoplasm bTPS-a
RcTPS15RchiOBHm_Chr6g0245751655764.365.35Chloroplast a/Cytoplasm bTPS-a
RcTPS16RchiOBHm_Chr5g0038101556565.255.66Chloroplast a/Cytoplasm bTPS-a
RcTPS17RchiOBHm_Chr1g0326251155664.545.21Chloroplast a/Cytoplasm bTPS-a
RcTPS18RchiOBHm_Chr6g0246001655964.705.57Chloroplast a/Cytoplasm bTPS-a
RcTPS19RchiOBHm_Chr3g0484891356664.995.49Chloroplast a/Cytoplasm bTPS-b
RcTPS20RchiOBHm_Chr2g0160561257065.435.62Chloroplast a/Cytoplasm bTPS-b
RcTPS21RchiOBHm_Chr1g0313881156265.055.11Chloroplast a/Cytoplasm bTPS-a
RcTPS22RchiOBHm_Chr3g0474411356064.745.15Chloroplast a/Cytoplasm bTPS-a
RcTPS23RchiOBHm_Chr1g0326391155664.545.37Chloroplast a/Cytoplasm bTPS-a
RcTPS24RchiOBHm_Chr6g0305391657065.885.07Chloroplast a, bTPS-a
RcTPS25RchiOBHm_Chr5g0037011555564.335.25Chloroplast a, bTPS-a
RcTPS26RchiOBHm_Chr5g0036921556165.145.36Chloroplast a/Cytoplasm bTPS-a
RcTPS27RchiOBHm_Chr5g0060571547354.875.86Chloroplast a/Cytoplasm bTPS-a
RcTPS28RchiOBHm_Chr4g0418071456464.745.16Chloroplast a/Cytoplasm bTPS-a
RcTPS29RchiOBHm_Chr2g0162311285296.916.12Chloroplast a, bTPS-e/f
RcTPS30RchiOBHm_Chr6g0274871655363.265.49Chloroplast a/Cytoplasm bTPS-a
RcTPS31RchiOBHm_Chr5g0023471579990.145.58Chloroplast a, bTPS-e/f
RcTPS32RchiOBHm_Chr1g0326071154662.855.37Chloroplast a/Cytoplasm bTPS-a
RcTPS33RchiOBHm_Chr1g0331211158367.495.28Chloroplast a, bTPS-b
RcTPS34RchiOBHm_Chr5g0038021556565.525.63Chloroplast a/Cytoplasm bTPS-a
RcTPS35RchiOBHm_Chr5g0004761558066.136.17Chloroplast a/Cytoplasm bTPS-g
RcTPS36RchiOBHm_Chr5g0059501555764.725.95Chloroplast a/Cytoplasm bTPS-a
RcTPS37RchiOBHm_Chr5g0004711554462.645.09Chloroplast a, bTPS-g
RcTPS38RchiOBHm_Chr1g0326051158167.115.34Chloroplast a/Cytoplasm bTPS-a
RcTPS39RchiOBHm_Chr7g0227831757166.025.26Chloroplast a/Cytoplasm bTPS-a
RcTPS40RchiOBHm_Chr5g0004731550958.295.26Chloroplast a/Cytoplasm bTPS-g
RcTPS41RchiOBHm_Chr5g0004801558066.556.05Chloroplast a/Cytoplasm bTPS-g
RcTPS42RchiOBHm_Chr6g0270581656465.345.5Chloroplast a/Cytoplasm bTPS-a
RcTPS43RchiOBHm_Chr3g0474541355764.315.06Chloroplast a, bTPS-a
RcTPS44RchiOBHm_Chr7g0212441755864.775.46Chloroplast a/Cytoplasm bTPS-a
RcTPS45RchiOBHm_Chr5g0037601554963.565.23Chloroplast a/Cytoplasm bTPS-a
RcTPS46RchiOBHm_Chr5g0004591558066.745.16Chloroplast a, bTPS-b
RcTPS47RchiOBHm_Chr5g0023441552259.698.91Chloroplast a, bTPS-e/f
RcTPS48RchiOBHm_Chr3g0474441356064.755.08Chloroplast a/Cytoplasm bTPS-a
RcTPS49RchiOBHm_Chr6g0290871685798.525.76Chloroplast a, bTPS-c
Accession Number, it is annotated in R. chinensis genome (https://lipmbrowsers.toulouse.inra.fr//pub/RchiOBHm-V2/, accessed on 24 February 2022) [31]; Chr, Chromosome; AA, amino acids; MW, molecular weight; pI, theoretical isoelectric point; Subcellular localization is predicted by Plant-mPLoc (http://www.csbio.sjtu.edu.cn/bioinf/plantmulti/, accessed on 24 February 2022) and pLoc-mPlant (http://www.jcibioinfo.cn/pLoc-mPlant/, accessed on 24 February 2022) tools. a, b indicates the result of Plant-mPLoc and pLoc-mPlant, respectively.
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Yan, Y.; Li, M.; Zhang, X.; Kong, W.; Bendahmane, M.; Bao, M.; Fu, X. Tissue-Specific Expression of the Terpene Synthase Family Genes in Rosa chinensis and Effect of Abiotic Stress Conditions. Genes 2022, 13, 547. https://doi.org/10.3390/genes13030547

AMA Style

Yan Y, Li M, Zhang X, Kong W, Bendahmane M, Bao M, Fu X. Tissue-Specific Expression of the Terpene Synthase Family Genes in Rosa chinensis and Effect of Abiotic Stress Conditions. Genes. 2022; 13(3):547. https://doi.org/10.3390/genes13030547

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Yan, Yuhang, Mouliang Li, Xiaoni Zhang, Weilong Kong, Mohammed Bendahmane, Manzhu Bao, and Xiaopeng Fu. 2022. "Tissue-Specific Expression of the Terpene Synthase Family Genes in Rosa chinensis and Effect of Abiotic Stress Conditions" Genes 13, no. 3: 547. https://doi.org/10.3390/genes13030547

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