De novo Assembly of the Camellia nitidissima Transcriptome Reveals Key Genes of Flower Pigment Biosynthesis

Zhou, Xingyi; Li, Jiyuan; Zhu, Yong‐Guan; Sui, Ni; Chen, Jinling; Feng, Xiaojuan; Zhang, Yunfeng; Li, Shuangquan; Zhu, Hongxiang; Yu, Wen

doi:10.3389/fpls.2017.01545

Cited by 53 publications

(59 citation statements)

References 60 publications

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“…Their deduction has already been verified using heterologous expression of the FLS genes in tobacco, in which transgenes inhibiting the expression of DFR promoted flavonol accumulation, resulting in white flowers. Many similar results have confirmed that DFR and FLS gene products compete for common substrates in the biosynthetic pathways of anthocyanins and flavonols, respectively, thereby determining red or white color formation of flowers [14,38,39].…”

Section: Key Genes In the Anthocyanin Pathway Affect Coloration In Whmentioning

confidence: 68%

“…Li et al [15] have verified that the taxonomic relationships of wild camellias can be identified using 25 delphinidin and cyanidin anthocyanins from different wild camellia flowers. In the development of golden flower tea (Camellia nitidissima), anthocyanins were not detected [14].…”

Section: Effect Of Content and Types Of Anthocyanins On Coloration Inmentioning

confidence: 99%

“…As an ornamental plant, the chemical composition, as well as coloration in Camellia or Camellia (Theaceae) flowers has been widely researched. Zhou et al [14] found that the principal pigments in the golden yellow flowers (Camellia nitidissima Chi.) are carotenoids and flavonol glycosides.…”

Section: Introductionmentioning

confidence: 99%

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Metabolome and Transcriptome Analysis Reveals Putative Genes Involved in Anthocyanin Accumulation and Coloration in White and Pink Tea (Camellia sinensis) Flower

et al. 2020

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A variant of tea tree (Camellia sinensis (L.)) with purple buds and leaves and pink flowers can be used as a unique ornamental plant. However, the mechanism of flower coloration remains unclear. To elucidate the molecular mechanism of coloration, as well as anthocyanin accumulation in white and pink tea flowers, metabolite profiling and transcriptome sequencing was analyzed in various tea flower developmental stages. Results of metabolomics analysis revealed that three specific anthocyanin substances could be identified, i.e., cyanidin O-syringic acid, petunidin 3-O-glucoside, and pelargonidin 3-O-β-d-glucoside, which only accumulated in pink tea flowers, and were not able to be detected in white flowers. RNA-seq and weighted gene co-expression network analysis revealed eight highly expressed structural genes involved in anthocyanin biosynthetic pathway, and particularly, different expression patterns of flavonol synthase and dihydroflavonol-4-reductase genes were observed. We deduced that the disequilibrium of expression levels in flavonol synthases and dihydroflavonol-4-reductases resulted in different levels of anthocyanin accumulation and coloration in white and pink tea flowers. Results of qRT-PCR performed for 9 key genes suggested that the expression profiles of differentially expressed genes were generally consistent with the results of high-throughput sequencing. These findings provide insight into anthocyanin accumulation and coloration mechanisms during tea flower development, which will contribute to the breeding of pink-flowered and anthocyanin-rich tea cultivars.

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Section: Key Genes In the Anthocyanin Pathway Affect Coloration In Whmentioning

confidence: 68%

Section: Effect Of Content and Types Of Anthocyanins On Coloration Inmentioning

confidence: 99%

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Metabolome and Transcriptome Analysis Reveals Putative Genes Involved in Anthocyanin Accumulation and Coloration in White and Pink Tea (Camellia sinensis) Flower

et al. 2020

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“…Beside the transcriptomes of tea plant collected from different developmental stages or under different stresses or response to different hormones, we also literately gathered a total of nine transcriptomes from its close relatives, including C. azalea (Fan et al ., ), C. japonica (Li et al ., ), C. meiocarpa (Feng et al ., ), C. nitidissima (Zhou et al ., ), C. oleifera (Xia et al ., ), C. reticulate (Yao et al ., ), C. sasanqua (Huang et al ., ), C. chekiangoleosa (Wang et al ., ) and C. taliensis (Zhang et al ., ). The detail information of each transcriptome that comprises published journal, authors, study background, main conclusion, data accession numbers and investigated tissues was collected.…”

Section: Data Contentmentioning

confidence: 99%

Tea Plant Information Archive: a comprehensive genomics and bioinformatics platform for tea plant

Xia

Tong

et al. 2019

Plant Biotechnology Journal

224

181

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Summary Tea is the world's widely consumed nonalcohol beverage with essential economic and health benefits. Confronted with the increasing large‐scale omics‐data set particularly the genome sequence released in tea plant, the construction of a comprehensive knowledgebase is urgently needed to facilitate the utilization of these data sets towards molecular breeding. We hereby present the first integrative and specially designed web‐accessible database, Tea Plant Information Archive (TPIA; http://tpia.teaplant.org). The current release of TPIA employs the comprehensively annotated tea plant genome as framework and incorporates with abundant well‐organized transcriptomes, gene expressions (across species, tissues and stresses), orthologs and characteristic metabolites determining tea quality. It also hosts massive transcription factors, polymorphic simple sequence repeats, single nucleotide polymorphisms, correlations, manually curated functional genes and globally collected germplasm information. A variety of versatile analytic tools (e.g. JBrowse, blast, enrichment analysis, etc.) are established helping users to perform further comparative, evolutionary and functional analysis. We show a case application of TPIA that provides novel and interesting insights into the phytochemical content variation of section Thea of genus Camellia under a well‐resolved phylogenetic framework. The constructed knowledgebase of tea plant will serve as a central gateway for global tea community to better understand the tea plant biology that largely benefits the whole tea industry.

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“…Similar WGCNA analysis was used in golden camellia to identify unigenes correlated with flower color, and CHS, F3H, ANS and FLS were found to play critical roles in regulating the formation of flavonols and anthocyanidins [29].…”

Section: Comparison Of the Genes Related To The Biosynthesis Of Flavomentioning

confidence: 99%

Identification of the regulatory networks and hub genes controlling alfalfa floral pigmentation variation using RNA-sequencing analysis

Duan

Wang

Cui

et al. 2020

Preprint

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Background: To understand the gene expression networks controlling flower color formation in alfalfa, flowers anthocyanins were identified using two materials with contrasting flower colors, namely Defu and Zhongtian No. 3, and transcriptome analyses of PacBio full-length sequencing combined with RNA sequencing were performed, across four flower developmental stages.Results: Malvidin and petunidin glycoside derivatives were the major anthocyanins in the flowers of Defu, which were lacking in the flowers of Zhongtian No. 3. The two transcriptomic datasets provided a comprehensive and systems-level view on the dynamic gene expression networks underpinning alfalfa flower color formation. By weighted gene coexpression network analyses, we identified candidate genes and hub genes from the modules closely related to floral developmental stages. PAL, 4CL, CHS, CHR, F3'H, DFR, and UFGT were enriched in the important modules. Additionally, PAL6, PAL9, 4CL18, CHS2, 4 and 8 were identified as hub genes. Thus, a hypothesis explaining the lack of purple color in the flower of Zhongtian No. 3 was proposed. Conclusions: These analyses identified a large number of potential key regulators controlling flower color pigmentation, thereby providing new insights into the molecular networks underlying alfalfa flower development. Background Flower color is an important horticultural trait of higher plants [1]. Variation in flower color can fulfill an important ecological function by attracting pollinator's visitation and influencing reproductive success in flowering plants [2], can protect the plant and its reproductive organs from UV damage, pests, and pathogens [3, 4], and has been of paramount importance in plant evolution [5, 6]. Furthermore, flower color is associated with the agronomic characters of plants directly or indirectly, and classical breeding methods have been extensively used to develop cultivars with flowers varying in color [7]. Three species of the genus Medicago L. are the most typical representatives of meadow ecosystems in the central part of European Russia: alfalfa (M. sativa L.), yellow lucerne (M. falcata L.), and black medic (M. lupulina L.), which are widely cultivated and grow easily in the wild [8,9,10]. The obvious 3 differences in these species are their morphological features, among which flower color is the main trait used to distinguish them [11,12,13]. Understanding the differences in the growth period, botanical characteristics, agronomic characteristics, quality, and photosynthetic characteristics of different alfalfa germplasm materials associated with flower color would have great significance in alfalfa breeding [14,15].Of the above-mentioned Medicago species, purple-flowered alfalfa is the most productive perennial legume with high biomass productivity, an excellent nutritional profile, and adequate persistence [16,17]. Yellow lucerne, which has yellow flowers, is closely related to alfalfa and exhibits better cold tolerance than alfalfa [18,19]. Furthermore, the wild plants of M. varia with m...

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De novo Assembly of the Camellia nitidissima Transcriptome Reveals Key Genes of Flower Pigment Biosynthesis

Cited by 53 publications

References 60 publications

Metabolome and Transcriptome Analysis Reveals Putative Genes Involved in Anthocyanin Accumulation and Coloration in White and Pink Tea (Camellia sinensis) Flower

Metabolome and Transcriptome Analysis Reveals Putative Genes Involved in Anthocyanin Accumulation and Coloration in White and Pink Tea (Camellia sinensis) Flower

Tea Plant Information Archive: a comprehensive genomics and bioinformatics platform for tea plant

Identification of the regulatory networks and hub genes controlling alfalfa floral pigmentation variation using RNA-sequencing analysis

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