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The chloroplast genome of Rosa rugosa × Rosa sertata (Rosaceae): genome structure and comparative analysis

Abstract

Rosa rugosa × Rosa sertata, which belongs to the family Rosaceae, is one of the native oil-bearing roses in China. Most research has focused on its essential oil components and medicinal values. However, there have been few studies about its chloroplast genome. In this study, the whole chloroplast genome of R. rugosa × R. sertata was sequenced, analyzed, and compared to other genus Rosa species. The chloroplast genome of R. rugosa × R. sertata is a circular structure and 157,120 bp in length. The large single copy and small single copy is 86,173 bp and 18,743 bp in size, respectively, and the inverted repeats are 26,102 bp in size. The GC content of the whole genome is 37.96%, while those of regions of LSC, SSC, and IR are 35.20%, 31.18%, and 42.73%, respectively. There are 130 different genes annotated in this chloroplast genome, including 84 protein coding genes, 37 tRNA genes, 8 rRNA genes, and 1 pseudogene. Phylogenetic analysis of 19 species revealed that R. rugosa × R. sertata belong to the Sect. Cinnamomeae. Overall, this study, providing genomic resources of R. rugosa × R. sertata, will be beneficial for species identification and biological research.

Keywords
Rosaceae; Rosa rugosa × Rosa sertata; chloroplast genome; phylogenetic relationship

Rosa, a typical genus of the Rosaceae family, is widely distributed over the northern hemisphere (Rehder, 1949Rehder A (1949) Bibliography of cultivated trees and shrubs hardy in the cooler temperate regions of the Northern Hemisphere. Arnold Arboretum of Harvard University, Boston.; Christenhusz et al., 2017Christenhusz MJM, Fay MF and Chase MW (2017) Plants of the world: An illustrated encyclopedia of vascular plant families. University of Chicago Press, 816 p.). Traditionally, it has a wide range of uses, such as food, decoration, medicine, perfume industry, and ecological conservation (Wang et al., 2012Wang H, Yao L, Cai R, Pan J and Chen X (2012) Genetic relationship analyses of oil-bearing roses in China using matK sequences. Sci Hortic 137:121-124.; Cheng et al., 2016Cheng BCY, Fu X-Q, Guo H, Li T, Wu Z-Z, Chan K and Yu Z-L (2016) The genus Rosa and arthritis: Overview on pharmacological perspectives. Pharmacol Res 114:219-234.; Patel, 2017Patel S (2017) Rose hip as an underutilized functional food: Evidence-based review. Trends Food Sci Technol 63:29-38.). Rosa rugosa × Rosa sertata, belonging to the genus Rosa of Rosaceae, is an important economic tree species in China. It is commonly called Kushui rose because it is mainly planted in Kushui, Lanzhou city of Gansu Province for production of dried flower bud tea, jam, rose essential oil, hydrosol, and other products. Among them, essential oil extraction products have appeared in the international market since the late 1980s. Studies on the composition of its essential oils show that it has high alcohol content, including citronellol, geraniol and farnesol (Son and Lee, 2012Son HH and Lee D (2012) Gas chromatographic profiles of rose essential oils: A round-robin test on oil of rose, Chinese Kushui type (Rosa Sertata × Rosa Rugosa). Anal Sci Technol 25: 207-213.; Wu Y et al., 2020Wu Y, Han X, Yuan W, Wang X, Meng D, Hu J and Lv Z (2020) Salt intervention for the diversities of essential oil composition, aroma and antioxidant activities of Kushui rose (R. setate × R. rugosa). Ind Crops Prod 150:112417.). It is worth noting that the relative content of citronellol is nearly half. Moreover, the decoction made from its flower tea has been proved to have anti-cancer antioxidant activity (Liu et al., 2018Liu Y, Zhi D, Wang X, Fei D, Zhang Z, Wu Z, Li Y, Chen P and Li H (2018) Kushui Rose (R. Setate x R. Rugosa) decoction exerts antitumor effects in C. elegans by downregulating Ras/MAPK pathway and resisting oxidative stress. Int J Mol Med 42:1411-1417.). A new kind of polysaccharide, which can be used as a safe immune regulator in the field of medicine or functional food, was found from the waste of the processing of its essential oil (Wu M et al., 2019Wu M, Feng H, Song J, Chen L, Xu Z, Xia W and Zhang W (2019) Structural elucidation and immunomodulatory activity of a neutral polysaccharide from the Kushui Rose (Rosa setate × Rosa rugosa) waste. Carbohydr Polym 232:115804.). The evolutionary origin of most roses remains elusive, and the species in this study is not the exception, although it is recorded as a natural hybrid with the corresponding Latin name. Most puzzling is that there is no direct genetic evidence of its hybridization background.

The chloroplast, as one of the plants' organelles, plays an important role in maintaining life on earth by the process of conversion of solar energy into carbohydrates through photosynthesis and the release of oxygen (Daniell et al., 2016Daniell H, Lin C-S, Yu M and Chang W-J (2016) Chloroplast genomes: Diversity, evolution, and applications in genetic engineering. Genome Biol 17:134.). Therefore, various essential genes for carbon fixation and metabolite synthesis exist in chloroplast genome. The common chloroplast genomes, ranging from 120 to 170 kb in size, generally encode 120 to 130 genes. They are usually composed of four parts, namely a large single copy (LSC) region, a small single copy (SSC) region and a pair of reverse repeat regions separating the first two parts (Bendich, 2004Bendich AJ (2004) Circular chloroplast chromosomes: The grand illusion. Plant Cell16:1661-1666.). For phylogeny and population genetics, it is necessary to study chloroplast genomes, because of their conservative gene structure and base content, and their ability to solve the relationship at a lower classification level (Wicke et al., 2011Wicke S, Schneeweiss GM, dePamphilis CW, Müller KF and Quandt D (2011) The evolution of the plastid chromosome in land plants: Gene content, gene order, gene function. Plant Mol Biol 76:273-297.). In recent years, the progress of next generation sequencing technology provides researchers with faster and cheaper methods to obtain chloroplast genome information. In this study, the complete chloroplast genome of R. rugosa × R. sertata was first obtained by high-throughput sequencing technology and compared with other species within the genus of Rosa.

Healthy and mature leaves of R. rugosa × R. sertata were collected from Gansu Agricultural University (36°09′N, 103°70′E, Lanzhou, Gansu, China) and were preserved in liquid nitrogen and then stored in an Ultra-low temperature freezer until DNA extraction. Total genomic DNA was extracted from sampled leaves using a Plant Genomic DNA kit (TIANGEN, Beijing, China) following the manufacturer’s instructions. The isolated genomic was used to prepare high-throughput DNA sequencing libraries with Illumina V3 kit (catalog number:ND607 Vazyme), and library products corresponding to 300-350bps were enriched, quantified and sequenced on Novaseq 6000 sequencer (Illumina) with PE 150 model. Generated 17,902,347 paired-end raw reads and the sequencing data was first filtered by Trimmomatic (version 0.36), low-quality reads were discarded and the reads contaminated with adaptor sequences were trimmed. The clean reads and reference sequence as R. acicularis (Chen et al., 2019Chen X, Liu YL, Sun JH, Wang L and Zhou SL (2019) The complete chloroplast genome sequence of Rosa acicularis in Rosaceae. Mitochondrial DNA B 4: 1743-1744.) (GenBank accession no. MK714016.1) were used to extract chloroplast-like reads, which aligned to the database built by Genepioneer Biotechnologies (Nanjing, China) using Bowtie2 v2.2.4 (Langmead and Salzberg, 2012Langmead B and Salzberg SL (2012) Fast gapped-read alignment with Bowtie 2. Nat Methods 9: 357-359.) and SPAdes v3.10.1 (Bankevich et al., 2012Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, Lesin VM, Nikolenko SI, Pham S, Prjibelski AD et al. (2012) SPAdes: A new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 19: 455-477.). Then, the sequences with the cp-like reads were assembled with NOVOPlasty (Dierckxsens et al., 2017Dierckxsens N, Mardulyn P and Smits G (2017) NOVOPlasty: De novo assembly of organelle genomes from whole genome data. Nucleic Acids Res 45:e18.). Annotation of the assembled chloroplast sequence was conducted with two methods. Firstly, the CDS, rRNA and tRNA were predicted with Prodigal v2.6.3 (Hyatt et al., 2010Hyatt D, Chen G-L, Locascio PF, Land ML, Larimer FW and Hauser LJ (2010) Prodigal: Prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 11:119.), hmmer v3.1b2 (Prakash et al., 2017Prakash A, Jeffryes M, Bateman A and Finn RD (2017) The HMMER Web server for protein sequence similarity search. Curr Protoc Bioinformatics 60:3-15.) and Aragorn v1.2.38 (Laslett and Canback, 2004Laslett D and Canback B (2004) ARAGORN, a program to detect tRNA genes and tmRNA genes in nucleotide sequences. Nucleic Acids Res 32:11-16.), respectively. Secondly, blast v2.6 (Johnson et al., 2008Johnson M, Zaretskaya I, Raytselis Y, Merezhuk Y, McGinnis S and Madden TL (2008) NCBI BLAST: A better web interface. Nucleic Acids Res 36:W5-W9.) was used to compare the gene sequences of the assembled one and the reference species. To determine the final annotation, the above two results were manually checked to remove the redundant and determine the multiple exon boundaries. A circular map of R. rugosa × R. sertata plastid genome was generated using the Chloroplot program (Zheng et al., 2020Zheng S, Poczai P, Hyvönen J, Tang J and Amiryousefi A (2020) Chloroplot: An online program for the versatile plotting of organelle genomes. Front Genet 11:576124.).

The whole chloroplast genome sequence of R. rugosa × R. sertata was determined and deposited to GenBank under accession number: MT845214. The size of the complete chloroplast genome is 157,120 bp, near other Rosa chloroplast genome level. It displayed a typical quadripartite structure, possessing a LSC region (86,176 bp), an SSC region (18,743 bp) and a pair of IR region (52,204 bp) (Figure 1). The overall GC content is 37.22%, and the order of GC content in different regions is 42.73% in IR regions, 35.20% in LSC region and 31.18% in SSC region (Table S1 Table S1 - Base composition in the R. rugosa × R. sertata chloroplast genome. ). It is a normal phenomenon that the highest GC content exists in the IR regions in different plants. There has been studies that show that such GC skewness can be indicators of replication origins, replication terminals, DNA lead chains or lag chains (Tillier and Collins, 2000Tillier ER and Collins RA (2000) The contributions of replication orientation, gene direction, and signal sequences to base-composition asymmetries in bacterial genomes. J Mol Evol 50:249-257.; Necşulea and Lobry, 2007Necşulea A and Lobry JR (2007) A new method for assessing the effect of replication on DNA base composition asymmetry. Mol Biol Evol 24:2169-2179.).

Figure 1 -
Gene map of the R. rugosa × R. sertata chloroplast genome. The genes with different functional classification are color coded and the pseudogene is marked asterisks. The genes are shown inside and outside the outermost layer represented with transcription directions clockwise and counterclockwise, respectively. The GC content is depicted as the proportion of the shaded parts of each section in the innermost layer.

A total of 130 functional genes were detected in R. rugosa × R. sertata chloroplast genome, including 84 protein-coding genes, 37 tRNA genes, and 8 rRNA genes. In the IR regions, there were 12 protein-coding genes, 14 tRNA genes and 8 rRNA genes. In the LSC and SSC region, there were 60 and 12 protein-coding genes, and 22 and 1 tRNA genes, respectively (Table 1, Table S2 Table S2 - The number of genes in the R. rugosa × R. sertata chloroplast genome. ). In addition, the ycf1 was interpreted as pseudogene in our study as it contains several internal stop codons. Studies have shown that splicing introns are the hallmark of eukaryotic genes (Niu and Yang, 2011Niu D-K and Yang Y-F (2011) Why eukaryotic cells use introns to enhance gene expression: Splicing reduces transcription-associated mutagenesis by inhibiting topoisomerase I cutting activity. Biol Direct6: 24.). In this study, 22 genes with intron structure were detected in this chloroplast genome, including 8 tRNA genes and 13 protein-coding genes (Table S3 Table S3 - The length of exons and introns in genes in the R. rugosa × R. sertata chloroplast genome. ). Among them, 11 genes are in the LSC regions: 1 gene in the SSC region and 10 genes in the IR region. Genes ycf3 and clpP contain two introns, which is consistent with other chloroplast genomes (Li et al., 2018Li X, Li Y, Zang M, Li M and Fang Y (2018) Complete chloroplast genome sequence and phylogenetic analysis of Quercus acutissima. Int J Mol Sci 19:2443.; Xue et al., 2019Xue S, Shi T, Luo W, Ni X, Iqbal S, Ni Z, Huang X, Yao D, Shen Z and Gao Z (2019) Comparative analysis of the complete chloroplast genome among Prunus mume, P. armeniaca, and P. salicina. Hortic Res 6:89.; Liu et al., 2020Liu F, Movahedi A, Yang W, Xu L, Xie J and Zhang Y (2020) The complete chloroplast genome and characteristics analysis of Callistemon rigidus R.Br. Mol Biol Rep 47:5013-5024.).

Table 1 -
List of genes annotated in the R. rugosa × R. sertata chloroplast genome.

A total of 37 long repeats were detected by REPuter software, including 16 forward repeats, 19 palindromic repeats, and 2 reverse repeats (Figure S1 Figure S1 - Analysis of long repeat sequences and simple sequence repeats (SSRs) in R. rugosa × R. sertata chloroplast genome. ). More than half of the long repeats (51%) were distributed in intergenic spaces (IGSs), 10.81% in both genes and IGSs, and 37.83% in genes. In addition, the distribution of these repeats in different regions is distinct. The number of repeats in regions of LSC, SSC, IRa, and IRb is 19, 3, 13, and 13, respectively. Some repeats, such as genes of ycf1, ycf2, ndhB, trnG-GCC, and trnS-UGA, existed in two regions simultaneously. In total, 260 SSRs were detected in R. rugosa × R. sertata chloroplast genome by software MISA. Among them, 65.55%, 19.33% and 15.13% were in the regions of LSC, IR, and SSC, respectively. Besides, from the perspective of the relationship with location of genes, 52.52%, 34.45%, and 13.03% were found in the IGSs, coding regions and introns, respectively. Types with a number of 20 or more were A (8), T(8), and T(9), while types with numbers between 5 and 20 were A(9), A(10), T(10), T(11), TA(5), TAA(3), TTA(3), and TTC(3). The number of other types was less than 5. The frequencies of mononucleotide, dinucleotide, trinucleotide, tetranucleotide, pentanucleotide, and hexanucleotide were 62.69%, 5.00%, 26.92%, 4.23%, 0.38%, and 0.77%, respectively. Among the identified mononucleotide SSRs, A/T types (92.64%) was dominant compared with G/C types (7.36%).

Gene flow between species or genetic diversity within a species is often measured by comparison of the chloroplast sequences. To determine differences in the chloroplast genome sequences of R. rugosa, R. odorata var. gigantea, R. multiflora, R. luciae, R. canina and R. rugosa × R. sertata, sequence identity was calculated for these species’ chloroplast sequence using the online program mVISTA with R. chinensis cultivar Old Blush as a reference (Figure S2 Figure S2 - Sequence identity plot of 6 Rosa chloroplast genomes by mVISTA. , Table S4 Table S4 - Statistics of the chloroplast genomes of R. rugosa × R. sertata and five other Rosaceae species. ). Consistent with other studies, the region of greatest divergence is LSC, in which the noncoding regions possess higher divergence than coding regions. The chloroplast genome of R. rugosa × R. sertata is closer to R. rugosa, and the significant variation between them could be found in the intergenic regions of psbM-trnD, trnD-trnY, rbcL-accD, petB-petD, petD-rpoA, rps3-rpl22, trnL-ndhB and ndhF-rpl32 (Supplementary Data Supplementary Data - Sequence information of eight Intergenic Regions in the R. rugosa × R. sertata and R. rugosa chloroplast genome. ). It would be considered valuable to utilize the identification of these higher-resolution loci for species identification.

In the long term of evolution, the change of the IR region at the borders plays a critical role. In our study, the genetic architecture of seven Rosa genomes was mapped at the junction of the IR region, LSC region, and SSC region by IRscope (Figure S3 Figure S3 - Comparison of LSC, SSC and IR regions in chloroplast genomes. ). Gene location and gene order were relatively conservative in Rosa. In R. canina, R. odorata, R. rugosa, R. chinensis, and R. rugosa × R. sertata, the codding region of ycf1 was at the boarder of SSC/IRa, and spanned the SSC and IRa region, while in R. lucieae and R. multiflora, it was at the boarder of SSC/IRb and spanned the SSC and IRb region. It is noteworthy that in R. rugosa and R. rugosa x R. sertata, the pseudogene ycf1 was located in IRb, while in R. lucieae and R. multiflora, it was located in IRa. The mutation region of pseudogene ycf1 in IRa/SSC or IRb/SSC region was 1106-1111bp.

The phylogenetic analysis was performed based on complete chloroplast genome sequences from 19 taxa, including 18 Rosa species and one outgroup (Vitis vinifera, MN561034.1), all of which were downloaded from the NCBI database except the R. rugosa × R. sertata. All the sequences from these 19 species were aligned by MAFFT v 7.455 (Katoh and Standley, 2013Katoh K and Standley DM (2013) MAFFT multiple sequence alignment software version 7: Improvements in performance and usability. Mol Biol Evol 30:772-780.) and trimmed by trimAl (Capella-Gutiérrez et al., 2009Capella-Gutiérrez S, Silla-Martínez JM and Gabaldón T (2009) trimAl: A tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics 25:1972-1973.). A maximum likelihood (ML) analysis was performed by IQtree (Nguyen et al., 2015Nguyen L-T, Schmidt HA, von Haeseler A and Minh BQ (2015) IQ-TREE: A fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol 32:268-274.), and a bootstrap test was set with 1000 repetitions. The result of phylogenetic analysis was visualized by MEGA v7.0 (Kumar et al., 2016Kumar S, Stecher G and Tamura K (2016) MEGA7: Molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol 33:1870-1874.) (Figure 2). The chloroplast genomes play a significant role in understanding the evolutionary relationship and history of plant species (Jansen et al., 2007Jansen RK, Cai Z, Raubeson LA, Daniell H, Depamphilis CW, Leebens-Mack J, Müller KF, Guisinger-Bellian M, Haberle RC, Hansen AK et al. (2007) Analysis of 81 genes from 64 plastid genomes resolves relationships in angiosperms and identifies genome-scale evolutionary patterns. Proc Natl Acad Sci U S A 104:19369-19374.). Here, as expected, 14 species from the Rosa genus formed a monophyletic clade composed of seven branches, which were consistent with the seven subgroups obtained by morphological classification. R. rugosa × R. sertata was mostly related to R. rugosa, with bootstrap support value of 100%. They all belong to the Sect. Cinnamomeae. The availability of a completed R. rugosa × R. sertata chloroplast genome sequence will provide useful information for the phylogenetic study among Rosa.

Figure 2 -
Maximum likelihood (ML) phylogenetic tree of 18 species of Rosaceae constructed using their chloroplast genomes. Vits vinifera was used as the outgroup.

Overall, the complete chloroplast genome of R. rugosa × R. sertata, an endemic oil-bearing rose species in China, was firstly reported and analyzed. The characteristics of quadripartite structure, genome size, GC content, and gene order of the plastid genome of R. rugosa × R. sertata were shown to be similar with that of other genus Rosa species. There were 37 long repeats sequences and 260 SSRs detected in this plastid genome. Besides, reconstructed phylogenetic relationships among 19 species found R. rugosa × R. sertata to be closely related to R. rugosa. These results combined with the comparison with the whole chloroplast genome of other genus Rosa species have provided the worthy information and will bring insight into developing DNA markers suitable for identification of species within this genus.

Acknowledgments

This research was funded by the National Natural Science Foundation of China (Nos. 32072559, 31860568, 31560563, and 31160398); the National Key Research and Development Program (2018YFD1000800); the Research Fund of Higher Education of Gansu, China (No. 2018C-14 and 2019B-082); the Natural Science Foundation of Gansu Province, China (Nos. 1606RJZA073 and 1606RJZA077); the Science and Technology planning project of Gansu Province, China (No. 20YF8NA138).

References

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  • Bendich AJ (2004) Circular chloroplast chromosomes: The grand illusion. Plant Cell16:1661-1666.
  • Capella-Gutiérrez S, Silla-Martínez JM and Gabaldón T (2009) trimAl: A tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics 25:1972-1973.
  • Chen X, Liu YL, Sun JH, Wang L and Zhou SL (2019) The complete chloroplast genome sequence of Rosa acicularis in Rosaceae. Mitochondrial DNA B 4: 1743-1744.
  • Cheng BCY, Fu X-Q, Guo H, Li T, Wu Z-Z, Chan K and Yu Z-L (2016) The genus Rosa and arthritis: Overview on pharmacological perspectives. Pharmacol Res 114:219-234.
  • Christenhusz MJM, Fay MF and Chase MW (2017) Plants of the world: An illustrated encyclopedia of vascular plant families. University of Chicago Press, 816 p.
  • Daniell H, Lin C-S, Yu M and Chang W-J (2016) Chloroplast genomes: Diversity, evolution, and applications in genetic engineering. Genome Biol 17:134.
  • Dierckxsens N, Mardulyn P and Smits G (2017) NOVOPlasty: De novo assembly of organelle genomes from whole genome data. Nucleic Acids Res 45:e18.
  • Hyatt D, Chen G-L, Locascio PF, Land ML, Larimer FW and Hauser LJ (2010) Prodigal: Prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 11:119.
  • Jansen RK, Cai Z, Raubeson LA, Daniell H, Depamphilis CW, Leebens-Mack J, Müller KF, Guisinger-Bellian M, Haberle RC, Hansen AK et al (2007) Analysis of 81 genes from 64 plastid genomes resolves relationships in angiosperms and identifies genome-scale evolutionary patterns. Proc Natl Acad Sci U S A 104:19369-19374.
  • Johnson M, Zaretskaya I, Raytselis Y, Merezhuk Y, McGinnis S and Madden TL (2008) NCBI BLAST: A better web interface. Nucleic Acids Res 36:W5-W9.
  • Katoh K and Standley DM (2013) MAFFT multiple sequence alignment software version 7: Improvements in performance and usability. Mol Biol Evol 30:772-780.
  • Kumar S, Stecher G and Tamura K (2016) MEGA7: Molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol 33:1870-1874.
  • Langmead B and Salzberg SL (2012) Fast gapped-read alignment with Bowtie 2. Nat Methods 9: 357-359.
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  • Li X, Li Y, Zang M, Li M and Fang Y (2018) Complete chloroplast genome sequence and phylogenetic analysis of Quercus acutissima Int J Mol Sci 19:2443.
  • Liu F, Movahedi A, Yang W, Xu L, Xie J and Zhang Y (2020) The complete chloroplast genome and characteristics analysis of Callistemon rigidus R.Br. Mol Biol Rep 47:5013-5024.
  • Liu Y, Zhi D, Wang X, Fei D, Zhang Z, Wu Z, Li Y, Chen P and Li H (2018) Kushui Rose (R. Setate x R. Rugosa) decoction exerts antitumor effects in C. elegans by downregulating Ras/MAPK pathway and resisting oxidative stress. Int J Mol Med 42:1411-1417.
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  • Wicke S, Schneeweiss GM, dePamphilis CW, Müller KF and Quandt D (2011) The evolution of the plastid chromosome in land plants: Gene content, gene order, gene function. Plant Mol Biol 76:273-297.
  • Wu M, Feng H, Song J, Chen L, Xu Z, Xia W and Zhang W (2019) Structural elucidation and immunomodulatory activity of a neutral polysaccharide from the Kushui Rose (Rosa setate × Rosa rugosa) waste. Carbohydr Polym 232:115804.
  • Wu Y, Han X, Yuan W, Wang X, Meng D, Hu J and Lv Z (2020) Salt intervention for the diversities of essential oil composition, aroma and antioxidant activities of Kushui rose (R. setate × R. rugosa). Ind Crops Prod 150:112417.
  • Xue S, Shi T, Luo W, Ni X, Iqbal S, Ni Z, Huang X, Yao D, Shen Z and Gao Z (2019) Comparative analysis of the complete chloroplast genome among Prunus mume, P. armeniaca, and P. salicina Hortic Res 6:89.
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Edited by

Associate Editor: Guilherme Correa de Oliveira

Publication Dates

  • Publication in this collection
    03 Oct 2022
  • Date of issue
    2022

History

  • Received
    07 Oct 2021
  • Accepted
    15 July 2022
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