Analyses of Transcription and Metabolic Differential in the Flower Development Processes of ‘Rose rugosa cv. Plena’

doi:10.13560/j.cnki.biotech.bull.1985.2022-0729

Abstract

Abstract:

In order to explore the key genes and metabolic pathways regulating floral aroma during the development of ‘Rose rugosa cv. Plena’, transcriptome and metabolome sequencing were performed on the samples at different development stages of flowers. The 4435, 2444, 7021 and 4123 differentially expressed genes in the comparison of flower bud stage, early opening stage, half opening stage, full opening stage and falling stage respectively were detected via transcriptomics analysis, of which 214 were differentially expressed genes in five stages. A total of 508 metabolites and 230 differential metabolites were detected by metabonomics. There were significant differences in metabolites at different developmental stages, and the metabolites were divided into 4 clusters. The 58 differentially expressed genes and 11 differentially expressed metabolites were found in the analysis of synthetic pathways of phenylpropanoid and terpene in ‘Rosa rugosa’. Combined with transcriptome and metabolome analysis, the genes and volatile substances changed significantly during flower development. Monoterpenoids were formed in flower bud stage, volatiles gradually accumulated in half opening stage, and the release of metabolites decreased in falling stage. Typical rose aroma substances were mainly formed in half opening stage. Therefore, choosing the appropriate harvest time is conducive to the formation and retention of rose fragrance quality.

Key words: Rose rugosa cv. Plena, flower development, differential gene, differential metabolite

ZHAO Yan-xia, ZHANG Jing-ying, SUN Jun-fei, WANG Jiang-hui, SUN Jia-bo, LV Xiao-hui. Analyses of Transcription and Metabolic Differential in the Flower Development Processes of ‘Rose rugosa cv. Plena’[J]. Biotechnology Bulletin, 2023, 39(3): 184-195.

Figures/Tables 12

Fig. 1 ‘Rose rugosa cv. Plena’ at different flower develo-pment stages S1, bud stage; S2, early opening stage; S3, half opening stage; S4, full opening stage; S5, falling stage

Table 1 Statistics of transcriptome sequencing data assembly

样品Sample	干净数据Clean reads/条	干净碱基Clean bases/条	Q30/%	GC%	总覆盖率Total map	单基因簇覆盖率Uniqene map
S1_1	43560704	6.53G	93.11	46.38	38653888（88.74%）	37024958（85.0%）
S1_2	41108142	6.17G	93.59	46.24	36527928（88.86%）	34961281（85.05%）
S1_3	41270832	6.19G	92.90	46.57	36416339（88.24%）	34853914（84.45%）
S2_1	40157090	6.02G	92.70	46.15	35191533（87.63%）	33462150（83.33%）
S2_2	40792264	6.12G	93.43	46.00	36413732（89.27%）	34522803（84.63%）
S2_3	50193776	7.53G	93.74	44.87	44201173（88.06%）	41939032（83.55%）
S3_1	42675712	6.4G	92.93	46.36	37888228（88.78%）	35915909（84.16%）
S3_2	38782360	5.82G	93.87	45.44	34250173（88.31%）	32535926（83.89%）
S3_3	39070016	5.86G	93.88	46.28	34707961（88.84%）	32862481（84.11%）
S4_1	48560062	7.28G	93.19	46.35	42964625（88.48%）	41292162（85.03%）
S4_2	43634520	6.55G	93.42	46.53	38758791（88.83%）	37288218（85.46%）
S4_3	41766500	6.26G	94.09	46.32	37080845（88.78%）	35641262（85.33%）
S5_1	44557882	6.68G	93.32	46.36	39238867（88.06%）	37801285（84.84%）
S5_2	46285840	6.94G	93.00	46.18	40765093（88.07%）	39282444（84.87%）
S5_3	43097136	6.46G	93.23	46.15	38142503（88.5%）	36731475（85.23%）

Fig. 2 Differentially expressed genes（DEGs）from S1 to S5 A: Numbers of DEGs. B: Venn diagram of DEGs

Fig. 3 Cluster heat map of differentially expressed genes at different developmental stages of flowers

Fig. 4 GO enrichment analysis of differentially expressed genes

Fig. 5 KEGG enrichment analysis of differentially expressed genes

Fig. 6 Principal component analysis of metabolites

Fig. 7 Cluster heat map of metabolites at different develo-pmental stages of flowers

Fig. 8 Metabolite difference analysis

Fig. 9 Overall distribution of differential metabolites

Fig. 10 Metabolomic and transcript profiling in the terpene biosynthetic in flower development stages Gene expression levels（Log2 FPRM）in five flower development stages in rose are represented by color gradation from green to red. Gene expression with FPRM ≤ 1 was set to 0 after log2 transformation. Grids with a color-scale from blue to red represent values of metabolite S2/S1, S3/S1, S4/S1 and S5/S1, respectively

Fig. 11 Metabolomic and transcript profiling in the phenylpropanoid biosynthesis in flower development stages

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