Transcriptome and gene expression analysis during flower blooming in Rosa chinensis ‘Pallida’
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...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yan, Huijun [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014transfer abstract |
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| Umfang: |
8 |
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| Übergeordnetes Werk: |
Enthalten in: 26957 A study of dermoscopic features in relation to vitiligo activity - Lee, Jae-Ho ELSEVIER, 2021, an international journal on genes, genomes and evolution, Amsterdam |
|---|---|
| Übergeordnetes Werk: |
volume:540 ; year:2014 ; number:1 ; day:25 ; month:04 ; pages:96-103 ; extent:8 |
| Links: |
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| DOI / URN: |
10.1016/j.gene.2014.02.008 |
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| 520 | |a 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 428bp. 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. | ||
| 520 | |a 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 428bp. 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. | ||
| 700 | 1 | |a Zhang, Hao |4 oth | |
| 700 | 1 | |a Chen, Min |4 oth | |
| 700 | 1 | |a Jian, Hongying |4 oth | |
| 700 | 1 | |a Baudino, Sylvie |4 oth | |
| 700 | 1 | |a Caissard, Jean-Claude |4 oth | |
| 700 | 1 | |a Bendahmane, Mohammed |4 oth | |
| 700 | 1 | |a Li, Shubin |4 oth | |
| 700 | 1 | |a Zhang, Ting |4 oth | |
| 700 | 1 | |a Zhou, Ningning |4 oth | |
| 700 | 1 | |a Qiu, Xianqin |4 oth | |
| 700 | 1 | |a Wang, Qigang |4 oth | |
| 700 | 1 | |a Tang, Kaixue |4 oth | |
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10.1016/j.gene.2014.02.008 doi GBVA2014012000021.pica (DE-627)ELV017557321 (ELSEVIER)S0378-1119(14)00157-7 DE-627 ger DE-627 rakwb eng 570 570 DE-600 610 VZ 44.93 bkl Yan, Huijun verfasserin aut Transcriptome and gene expression analysis during flower blooming in Rosa chinensis ‘Pallida’ 2014transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier 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 428bp. 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. 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 428bp. 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. Zhang, Hao oth Chen, Min oth Jian, Hongying oth Baudino, Sylvie oth Caissard, Jean-Claude oth Bendahmane, Mohammed oth Li, Shubin oth Zhang, Ting oth Zhou, Ningning oth Qiu, Xianqin oth Wang, Qigang oth Tang, Kaixue oth Enthalten in Elsevier Lee, Jae-Ho ELSEVIER 26957 A study of dermoscopic features in relation to vitiligo activity 2021 an international journal on genes, genomes and evolution Amsterdam (DE-627)ELV006417590 volume:540 year:2014 number:1 day:25 month:04 pages:96-103 extent:8 https://doi.org/10.1016/j.gene.2014.02.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.93 Dermatologie VZ AR 540 2014 1 25 0425 96-103 8 045F 570 |
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10.1016/j.gene.2014.02.008 doi GBVA2014012000021.pica (DE-627)ELV017557321 (ELSEVIER)S0378-1119(14)00157-7 DE-627 ger DE-627 rakwb eng 570 570 DE-600 610 VZ 44.93 bkl Yan, Huijun verfasserin aut Transcriptome and gene expression analysis during flower blooming in Rosa chinensis ‘Pallida’ 2014transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier 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 428bp. 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. 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 428bp. 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. Zhang, Hao oth Chen, Min oth Jian, Hongying oth Baudino, Sylvie oth Caissard, Jean-Claude oth Bendahmane, Mohammed oth Li, Shubin oth Zhang, Ting oth Zhou, Ningning oth Qiu, Xianqin oth Wang, Qigang oth Tang, Kaixue oth Enthalten in Elsevier Lee, Jae-Ho ELSEVIER 26957 A study of dermoscopic features in relation to vitiligo activity 2021 an international journal on genes, genomes and evolution Amsterdam (DE-627)ELV006417590 volume:540 year:2014 number:1 day:25 month:04 pages:96-103 extent:8 https://doi.org/10.1016/j.gene.2014.02.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.93 Dermatologie VZ AR 540 2014 1 25 0425 96-103 8 045F 570 |
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10.1016/j.gene.2014.02.008 doi GBVA2014012000021.pica (DE-627)ELV017557321 (ELSEVIER)S0378-1119(14)00157-7 DE-627 ger DE-627 rakwb eng 570 570 DE-600 610 VZ 44.93 bkl Yan, Huijun verfasserin aut Transcriptome and gene expression analysis during flower blooming in Rosa chinensis ‘Pallida’ 2014transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier 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 428bp. 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. 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 428bp. 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. Zhang, Hao oth Chen, Min oth Jian, Hongying oth Baudino, Sylvie oth Caissard, Jean-Claude oth Bendahmane, Mohammed oth Li, Shubin oth Zhang, Ting oth Zhou, Ningning oth Qiu, Xianqin oth Wang, Qigang oth Tang, Kaixue oth Enthalten in Elsevier Lee, Jae-Ho ELSEVIER 26957 A study of dermoscopic features in relation to vitiligo activity 2021 an international journal on genes, genomes and evolution Amsterdam (DE-627)ELV006417590 volume:540 year:2014 number:1 day:25 month:04 pages:96-103 extent:8 https://doi.org/10.1016/j.gene.2014.02.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.93 Dermatologie VZ AR 540 2014 1 25 0425 96-103 8 045F 570 |
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10.1016/j.gene.2014.02.008 doi GBVA2014012000021.pica (DE-627)ELV017557321 (ELSEVIER)S0378-1119(14)00157-7 DE-627 ger DE-627 rakwb eng 570 570 DE-600 610 VZ 44.93 bkl Yan, Huijun verfasserin aut Transcriptome and gene expression analysis during flower blooming in Rosa chinensis ‘Pallida’ 2014transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier 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 428bp. 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. 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 428bp. 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. Zhang, Hao oth Chen, Min oth Jian, Hongying oth Baudino, Sylvie oth Caissard, Jean-Claude oth Bendahmane, Mohammed oth Li, Shubin oth Zhang, Ting oth Zhou, Ningning oth Qiu, Xianqin oth Wang, Qigang oth Tang, Kaixue oth Enthalten in Elsevier Lee, Jae-Ho ELSEVIER 26957 A study of dermoscopic features in relation to vitiligo activity 2021 an international journal on genes, genomes and evolution Amsterdam (DE-627)ELV006417590 volume:540 year:2014 number:1 day:25 month:04 pages:96-103 extent:8 https://doi.org/10.1016/j.gene.2014.02.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.93 Dermatologie VZ AR 540 2014 1 25 0425 96-103 8 045F 570 |
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10.1016/j.gene.2014.02.008 doi GBVA2014012000021.pica (DE-627)ELV017557321 (ELSEVIER)S0378-1119(14)00157-7 DE-627 ger DE-627 rakwb eng 570 570 DE-600 610 VZ 44.93 bkl Yan, Huijun verfasserin aut Transcriptome and gene expression analysis during flower blooming in Rosa chinensis ‘Pallida’ 2014transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier 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 428bp. 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. 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 428bp. 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. Zhang, Hao oth Chen, Min oth Jian, Hongying oth Baudino, Sylvie oth Caissard, Jean-Claude oth Bendahmane, Mohammed oth Li, Shubin oth Zhang, Ting oth Zhou, Ningning oth Qiu, Xianqin oth Wang, Qigang oth Tang, Kaixue oth Enthalten in Elsevier Lee, Jae-Ho ELSEVIER 26957 A study of dermoscopic features in relation to vitiligo activity 2021 an international journal on genes, genomes and evolution Amsterdam (DE-627)ELV006417590 volume:540 year:2014 number:1 day:25 month:04 pages:96-103 extent:8 https://doi.org/10.1016/j.gene.2014.02.008 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.93 Dermatologie VZ AR 540 2014 1 25 0425 96-103 8 045F 570 |
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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 428bp. 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. 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transcriptome and gene expression analysis during flower blooming in rosa chinensis ‘pallida’ |
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Transcriptome and gene expression analysis during flower blooming in Rosa chinensis ‘Pallida’ |
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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 428bp. 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. |
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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 428bp. 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. |
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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 428bp. 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. |
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Zhang, Hao Chen, Min Jian, Hongying Baudino, Sylvie Caissard, Jean-Claude Bendahmane, Mohammed Li, Shubin Zhang, Ting Zhou, Ningning Qiu, Xianqin Wang, Qigang Tang, Kaixue |
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Zhang, Hao Chen, Min Jian, Hongying Baudino, Sylvie Caissard, Jean-Claude Bendahmane, Mohammed Li, Shubin Zhang, Ting Zhou, Ningning Qiu, Xianqin Wang, Qigang Tang, Kaixue |
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