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Background Rose is an important economic crop in horticulture. However, its field growth and postharvest quality are negatively affected by grey mould disease caused by Botrytis c. However, it is unclear how rose plants defend themselves against this fungal pathogen. Here, we used transcriptomic, metabolomic and VIGS analyses to explore the mechanism of resistance to Botrytis c. Result In this study, a protein activity analysis revealed a significant increase in defence enzyme activities in infected plants. RNA-Seq of plants infected for 0 h, 36 h, 60 h and 72 h produced a total of 54 GB of clean reads. Among these reads, 3990, 5995 and 8683 differentially expressed genes (DEGs) were found in CK vs. T36, CK vs. T60 and CK vs. T72, respectively. Gene annotation and cluster analysis of the DEGs revealed a variety of defence responses to Botrytis c. infection, including resistance (R) proteins, MAPK cascade reactions, plant hormone signal transduction pathways, plant-pathogen interaction pathways, Ca2+ and disease resistance-related genes. qPCR verification showed the reliability of the transcriptome data. The PTRV2-RcTGA1-infected plant material showed improved susceptibility of rose to Botrytis c. A total of 635 metabolites were detected in all samples, which could be divided into 29 groups. Metabonomic data showed that a total of 59, 78 and 74 DEMs were obtained for T36, T60 and T72 (T36: Botrytis c. inoculated rose flowers at 36 h; T60: Botrytis c. inoculated rose flowers at 60 h; T72: Botrytis c. inoculated rose flowers at 72 h) compared to CK, respectively. A variety of secondary metabolites are related to biological disease resistance, including tannins, amino acids and derivatives, and alkaloids, among others; they were significantly increased and enriched in phenylpropanoid biosynthesis, glucosinolates and other disease resistance pathways. This study provides a theoretical basis for breeding new cultivars that are resistant to Botrytis c. Conclusion Fifty-four GB of clean reads were generated through RNA-Seq. R proteins, ROS signalling, Ca2+ signalling, MAPK signalling, and SA signalling were activated in the Old Blush response to Botrytis c. RcTGA1 positively regulates rose resistance to Botrytis c. A total of 635 metabolites were detected in all samples. DEMs were enriched in phenylpropanoid biosynthesis, glucosinolates and other disease resistance pathways.

Rose has emerged as a model ornamental plant for studies of flower development, senescence, and morphology, as well as the metabolism of floral fragrances and colors. Virus-induced gene silencing (VIGS) has long been used in functional genomics studies of rose by vacuum infiltration of cuttings or seedlings with an Agrobacterium suspension carrying TRV-derived vectors. However, VIGS in rose flowers remains a challenge because of its low efficiency and long time to establish silencing. Here we present a novel and rapid VIGS method that can be used to analyze gene function in rose, called 'graft-accelerated VIGS', where axillary sprouts are cut from the rose plant and vacuum infiltrated with Agrobacterium. The inoculated scions are then grafted back onto the plants to flower and silencing phenotypes can be observed within 5 weeks, post-infiltration. Using this new method, we successfully silenced expression of the RhDFR1, RhAG, and RhNUDX1 in rose flowers, and affected their color, petal number, as well as fragrance, respectively. This grafting method will facilitate high-throughput functional analysis of genes in rose flowers. Importantly, it may also be applied to other woody species that are not currently amenable to VIGS by conventional leaf or plantlet/seedling infiltration methods.

Roses are important woody plants featuring a set of important traits that cannot be investigated in traditional model plants. Here, we used the restriction-site associated DNA sequencing (RAD-seq) technology to develop a high-density linkage map of the backcross progeny (BC1F1) between Rosa chinensis ‘Old Blush’ (OB) and R. wichuraiana ‘Basyes’ Thornless’ (BT). We obtained 643.63 million pair-end reads and identified 139,834 polymorphic tags that were distributed uniformly in the rose genome. 2,213 reliable markers were assigned to seven linkage groups (LGs). The length of the genetic map was 1,027.425 cM in total with a mean distance of 0.96 cM per marker locus. This new linkage map allowed anchoring an extra of 1.21/23.14 Mb (12.18/44.52%) of the unassembled OB scaffolds to the seven reference pseudo-chromosomes, thus significantly improved the quality of assembly of OB reference genome. We demonstrate that, while this new linkage map shares high collinearity level with strawberry genome, it also features two chromosomal rearrangements, indicating its usefulness as a resource for understanding the evolutionary scenario among Rosaceae genomes. Together with the newly released genome sequences for OB, this linkage map will facilitate the identification of genetic components underpinning key agricultural and biological traits, hence should greatly advance the studies and breeding efforts of rose.

Rosa chinensis var. spontanea, an endemic and endangered plant of China, is one of the key ancestors of modern roses and a source for famous traditional Chinese medicines against female diseases, such as irregular menses and dysmenorrhea. In this study, the complete chloroplast (cp) genome of R. chinensis var. spontanea was sequenced, analyzed, and compared to congeneric species. The cp genome of R. chinensis var. spontanea is a typical quadripartite circular molecule of 156,590 bp in length, including one large single copy (LSC) region of 85,910 bp and one small single copy (SSC) region of 18,762 bp, separated by two inverted repeat (IR) regions of 25,959 bp. The GC content of the whole genome is 37.2%, while that of LSC, SSC, and IR is 42.8%, 35.2% and 31.2%, respectively. The genome encodes 129 genes, including 84 protein-coding genes (PCGs), 37 transfer RNA (tRNA) genes, and eight ribosomal RNA (rRNA) genes. Seventeen genes in the IR regions were found to be duplicated. Thirty-three forward and five inverted repeats were detected in the cp genome of R. chinensis var. spontanea. The genome is rich in SSRs. In total, 85 SSRs were detected. A genome comparison revealed that IR contraction might be the reason for the relatively smaller cp genome size of R. chinensis var. spontanea compared to other congeneric species. Sequence analysis revealed that the LSC and SSC regions were more divergent than the IR regions within the genus Rosa and that a higher divergence occurred in non-coding regions than in coding regions. A phylogenetic analysis showed that the sampled species of the genus Rosa formed a monophyletic clade and that R. chinensis var. spontanea shared a more recent ancestor with R. lichiangensis of the section Synstylae than with R. odorata var. gigantea of the section Chinenses. This information will be useful for the conservation genetics of R. chinensis var. spontanea and for the phylogenetic study of the genus Rosa, and it might also facilitate the genetics and breeding of modern roses.

Powdery mildew caused by Podosphera pannosa was a major disease in cut and potted roses. There were some rose species represent resistance to powdery mildew, others have susceptibility. However, the unclear resistance/susceptibility mechanism of wild Rosa to powdery mildew and the lack of related resistant genes have been limiting the utilization of wild Rosa in the genetic improvement of modern rose cultivars. In this study, we sequenced and assembled the transcriptome of the susceptible Rosa gigantea and the resistant Rosa longicuspis using de novo sequence assembly. Aims of the study were to preliminarily revealed their PM resistance/susceptibility mechanisms and find several genes which play important roles in Rosa-powdery mildew pathogen interactions. Our results indicating that: (1) the active response to P. pannosa infection in R. gigantea (susceptible wild species) occurred later than that in R. longicuspis (highly resistant wild species), and their responses also differed; (2) the regulatory network of R. gigantea in response to P. pannosa infection was more complex and diverse than that of R. longicuspis; (3) find two MLO members RgMLO6 and RlMLO7 which likely play important roles in interaction of Rosa-powdery mildew pathogen. These results will provide us data support for the functional evolution of disease resistance/susceptibility genes. Furthermore, they will provide us new ideas and gene pool for breeding new varieties of powdery mildew resistant rose.

Genus Rosa (Rosaceae) has a base chromosome number of x = 7. Ploidy levels of wild species range from 2n= 2x= 14 to 2n= 8x=56. In this paper, one decaploid, the highest naturally occurring ploidy never reported before in the genus was detected in the karyological study of an endemic wild species, R. praelucens Byhouwer to Zhongdian Plateau, Yunnan, China. Its karyotype formula was 2n=10x=70=2st+6sm+62m and the karyotype was 2B. Chromosome No. 6 was subterminal. Chromosome No. 15, No. 22 and No. 23 were submedian. According to its karyomorphology, R. praelucens derived not from auto polyploidization directly but from inter-specific hybridization. Polyploidization and inter-species hybridization both might have played important roles in the origin of R. praelucens associated with effect of high altitude environment. Further research on this species is warranted to provide helpful evidences to understand the differentiation and evolution of the Genus Rosa, and even clues to trace the process of spec...

International audience; Rosa chinensis ‘Pallida’ (Rosa L.) is one of the most important ancient rose cultivars originating from China. It contributed the ‘tea scent’ trait to modern roses. However, little information is available on the gene regulatory networks involved in scent biosynthesis and metabolism in Rosa. In this study, the transcriptome of R. chinensis ‘Pallida’ petals at different developmental stages, from flower buds to senescent flowers, was investigated using Illumina sequencing technology. De novo assembly generated 89,614 clusters with an average length of 428 bp. Based on sequence similarity search with known proteins, 62.9% of total clusters were annotated. Out of these annotated transcripts, 25,705 and 37,159 sequences were assigned to gene ontology and clusters of orthologous groups, respectively. The dataset provides information on transcripts putatively associated with known scent metabolic pathways. Digital gene expression (DGE) was obtained using RNA samples from flower bud, open flower and senescent flower stages. Comparative DGE and quantitative real time PCR permitted the identification of five transcripts encoding proteins putatively associated with scent biosynthesis in roses. The study provides a foundation for scent-related gene discovery in roses.