RNA-seq, de novo transcriptome assembly and flavonoid gene analysis in 13 wild and cultivated berry fruit species with high content of phenolics

Research output: Contribution to journalJournal articleResearchpeer-review

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RNA-seq, de novo transcriptome assembly and flavonoid gene analysis in 13 wild and cultivated berry fruit species with high content of phenolics. / Thole, Vera; Bassard, Jean Etienne; Ramírez-González, Ricardo; Trick, Martin; Ghasemi Afshar, Bijan; Breitel, Dario; Hill, Lionel; Foito, Alexandre; Shepherd, Louise; Freitag, Sabine; Nunes Dos Santos, Claúdia; Menezes, Regina; Banãdos, Pilar; Naesby, Michael; Wang, Liangsheng; Sorokin, Artem; Tikhonova, Olga; Shelenga, Tatiana; Stewart, Derek; Vain, Philippe; Martin, Cathie.

In: BMC Genomics, Vol. 20, 995, 19.12.2019, p. 1-23.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Thole, V, Bassard, JE, Ramírez-González, R, Trick, M, Ghasemi Afshar, B, Breitel, D, Hill, L, Foito, A, Shepherd, L, Freitag, S, Nunes Dos Santos, C, Menezes, R, Banãdos, P, Naesby, M, Wang, L, Sorokin, A, Tikhonova, O, Shelenga, T, Stewart, D, Vain, P & Martin, C 2019, 'RNA-seq, de novo transcriptome assembly and flavonoid gene analysis in 13 wild and cultivated berry fruit species with high content of phenolics', BMC Genomics, vol. 20, 995, pp. 1-23. https://doi.org/10.1186/s12864-019-6183-2

APA

Thole, V., Bassard, J. E., Ramírez-González, R., Trick, M., Ghasemi Afshar, B., Breitel, D., Hill, L., Foito, A., Shepherd, L., Freitag, S., Nunes Dos Santos, C., Menezes, R., Banãdos, P., Naesby, M., Wang, L., Sorokin, A., Tikhonova, O., Shelenga, T., Stewart, D., ... Martin, C. (2019). RNA-seq, de novo transcriptome assembly and flavonoid gene analysis in 13 wild and cultivated berry fruit species with high content of phenolics. BMC Genomics, 20, 1-23. [995]. https://doi.org/10.1186/s12864-019-6183-2

Vancouver

Thole V, Bassard JE, Ramírez-González R, Trick M, Ghasemi Afshar B, Breitel D et al. RNA-seq, de novo transcriptome assembly and flavonoid gene analysis in 13 wild and cultivated berry fruit species with high content of phenolics. BMC Genomics. 2019 Dec 19;20:1-23. 995. https://doi.org/10.1186/s12864-019-6183-2

Author

Thole, Vera ; Bassard, Jean Etienne ; Ramírez-González, Ricardo ; Trick, Martin ; Ghasemi Afshar, Bijan ; Breitel, Dario ; Hill, Lionel ; Foito, Alexandre ; Shepherd, Louise ; Freitag, Sabine ; Nunes Dos Santos, Claúdia ; Menezes, Regina ; Banãdos, Pilar ; Naesby, Michael ; Wang, Liangsheng ; Sorokin, Artem ; Tikhonova, Olga ; Shelenga, Tatiana ; Stewart, Derek ; Vain, Philippe ; Martin, Cathie. / RNA-seq, de novo transcriptome assembly and flavonoid gene analysis in 13 wild and cultivated berry fruit species with high content of phenolics. In: BMC Genomics. 2019 ; Vol. 20. pp. 1-23.

Bibtex

@article{3ab9ec9243c543659e05a02a1c1f409c,
title = "RNA-seq, de novo transcriptome assembly and flavonoid gene analysis in 13 wild and cultivated berry fruit species with high content of phenolics",
abstract = "Background: Flavonoids are produced in all flowering plants in a wide range of tissues including in berry fruits. These compounds are of considerable interest for their biological activities, health benefits and potential pharmacological applications. However, transcriptomic and genomic resources for wild and cultivated berry fruit species are often limited, despite their value in underpinning the in-depth study of metabolic pathways, fruit ripening as well as in the identification of genotypes rich in bioactive compounds. Results: To access the genetic diversity of wild and cultivated berry fruit species that accumulate high levels of phenolic compounds in their fleshy berry(-like) fruits, we selected 13 species from Europe, South America and Asia representing eight genera, seven families and seven orders within three clades of the kingdom Plantae. RNA from either ripe fruits (ten species) or three ripening stages (two species) as well as leaf RNA (one species) were used to construct, assemble and analyse de novo transcriptomes. The transcriptome sequences are deposited in the BacHBerryGEN database (http://jicbio.nbi.ac.uk/berries) and were used, as a proof of concept, via its BLAST portal (http://jicbio.nbi.ac.uk/berries/blast.html) to identify candidate genes involved in the biosynthesis of phenylpropanoid compounds. Genes encoding regulatory proteins of the anthocyanin biosynthetic pathway (MYB and basic helix-loop-helix (bHLH) transcription factors and WD40 repeat proteins) were isolated using the transcriptomic resources of wild blackberry (Rubus genevieri) and cultivated red raspberry (Rubus idaeus cv. Prestige) and were shown to activate anthocyanin synthesis in Nicotiana benthamiana. Expression patterns of candidate flavonoid gene transcripts were also studied across three fruit developmental stages via the BacHBerryEXP gene expression browser (http://www.bachberryexp.com) in R. genevieri and R. idaeus cv. Prestige. Conclusions: We report a transcriptome resource that includes data for a wide range of berry(-like) fruit species that has been developed for gene identification and functional analysis to assist in berry fruit improvement. These resources will enable investigations of metabolic processes in berries beyond the phenylpropanoid biosynthetic pathway analysed in this study. The RNA-seq data will be useful for studies of berry fruit development and to select wild plant species useful for plant breeding purposes.",
keywords = "13 berry fruit species, Anthocyanin, bHLH, de novo assembly, Fruit ripening, Gene expression analysis, MYB, RNA-seq, Transcription factors, WDR",
author = "Vera Thole and Bassard, {Jean Etienne} and Ricardo Ram{\'i}rez-Gonz{\'a}lez and Martin Trick and {Ghasemi Afshar}, Bijan and Dario Breitel and Lionel Hill and Alexandre Foito and Louise Shepherd and Sabine Freitag and {Nunes Dos Santos}, Cla{\'u}dia and Regina Menezes and Pilar Ban{\~a}dos and Michael Naesby and Liangsheng Wang and Artem Sorokin and Olga Tikhonova and Tatiana Shelenga and Derek Stewart and Philippe Vain and Cathie Martin",
year = "2019",
month = dec,
day = "19",
doi = "10.1186/s12864-019-6183-2",
language = "English",
volume = "20",
pages = "1--23",
journal = "BMC Genomics",
issn = "1471-2164",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - RNA-seq, de novo transcriptome assembly and flavonoid gene analysis in 13 wild and cultivated berry fruit species with high content of phenolics

AU - Thole, Vera

AU - Bassard, Jean Etienne

AU - Ramírez-González, Ricardo

AU - Trick, Martin

AU - Ghasemi Afshar, Bijan

AU - Breitel, Dario

AU - Hill, Lionel

AU - Foito, Alexandre

AU - Shepherd, Louise

AU - Freitag, Sabine

AU - Nunes Dos Santos, Claúdia

AU - Menezes, Regina

AU - Banãdos, Pilar

AU - Naesby, Michael

AU - Wang, Liangsheng

AU - Sorokin, Artem

AU - Tikhonova, Olga

AU - Shelenga, Tatiana

AU - Stewart, Derek

AU - Vain, Philippe

AU - Martin, Cathie

PY - 2019/12/19

Y1 - 2019/12/19

N2 - Background: Flavonoids are produced in all flowering plants in a wide range of tissues including in berry fruits. These compounds are of considerable interest for their biological activities, health benefits and potential pharmacological applications. However, transcriptomic and genomic resources for wild and cultivated berry fruit species are often limited, despite their value in underpinning the in-depth study of metabolic pathways, fruit ripening as well as in the identification of genotypes rich in bioactive compounds. Results: To access the genetic diversity of wild and cultivated berry fruit species that accumulate high levels of phenolic compounds in their fleshy berry(-like) fruits, we selected 13 species from Europe, South America and Asia representing eight genera, seven families and seven orders within three clades of the kingdom Plantae. RNA from either ripe fruits (ten species) or three ripening stages (two species) as well as leaf RNA (one species) were used to construct, assemble and analyse de novo transcriptomes. The transcriptome sequences are deposited in the BacHBerryGEN database (http://jicbio.nbi.ac.uk/berries) and were used, as a proof of concept, via its BLAST portal (http://jicbio.nbi.ac.uk/berries/blast.html) to identify candidate genes involved in the biosynthesis of phenylpropanoid compounds. Genes encoding regulatory proteins of the anthocyanin biosynthetic pathway (MYB and basic helix-loop-helix (bHLH) transcription factors and WD40 repeat proteins) were isolated using the transcriptomic resources of wild blackberry (Rubus genevieri) and cultivated red raspberry (Rubus idaeus cv. Prestige) and were shown to activate anthocyanin synthesis in Nicotiana benthamiana. Expression patterns of candidate flavonoid gene transcripts were also studied across three fruit developmental stages via the BacHBerryEXP gene expression browser (http://www.bachberryexp.com) in R. genevieri and R. idaeus cv. Prestige. Conclusions: We report a transcriptome resource that includes data for a wide range of berry(-like) fruit species that has been developed for gene identification and functional analysis to assist in berry fruit improvement. These resources will enable investigations of metabolic processes in berries beyond the phenylpropanoid biosynthetic pathway analysed in this study. The RNA-seq data will be useful for studies of berry fruit development and to select wild plant species useful for plant breeding purposes.

AB - Background: Flavonoids are produced in all flowering plants in a wide range of tissues including in berry fruits. These compounds are of considerable interest for their biological activities, health benefits and potential pharmacological applications. However, transcriptomic and genomic resources for wild and cultivated berry fruit species are often limited, despite their value in underpinning the in-depth study of metabolic pathways, fruit ripening as well as in the identification of genotypes rich in bioactive compounds. Results: To access the genetic diversity of wild and cultivated berry fruit species that accumulate high levels of phenolic compounds in their fleshy berry(-like) fruits, we selected 13 species from Europe, South America and Asia representing eight genera, seven families and seven orders within three clades of the kingdom Plantae. RNA from either ripe fruits (ten species) or three ripening stages (two species) as well as leaf RNA (one species) were used to construct, assemble and analyse de novo transcriptomes. The transcriptome sequences are deposited in the BacHBerryGEN database (http://jicbio.nbi.ac.uk/berries) and were used, as a proof of concept, via its BLAST portal (http://jicbio.nbi.ac.uk/berries/blast.html) to identify candidate genes involved in the biosynthesis of phenylpropanoid compounds. Genes encoding regulatory proteins of the anthocyanin biosynthetic pathway (MYB and basic helix-loop-helix (bHLH) transcription factors and WD40 repeat proteins) were isolated using the transcriptomic resources of wild blackberry (Rubus genevieri) and cultivated red raspberry (Rubus idaeus cv. Prestige) and were shown to activate anthocyanin synthesis in Nicotiana benthamiana. Expression patterns of candidate flavonoid gene transcripts were also studied across three fruit developmental stages via the BacHBerryEXP gene expression browser (http://www.bachberryexp.com) in R. genevieri and R. idaeus cv. Prestige. Conclusions: We report a transcriptome resource that includes data for a wide range of berry(-like) fruit species that has been developed for gene identification and functional analysis to assist in berry fruit improvement. These resources will enable investigations of metabolic processes in berries beyond the phenylpropanoid biosynthetic pathway analysed in this study. The RNA-seq data will be useful for studies of berry fruit development and to select wild plant species useful for plant breeding purposes.

KW - 13 berry fruit species

KW - Anthocyanin

KW - bHLH

KW - de novo assembly

KW - Fruit ripening

KW - Gene expression analysis

KW - MYB

KW - RNA-seq

KW - Transcription factors

KW - WDR

U2 - 10.1186/s12864-019-6183-2

DO - 10.1186/s12864-019-6183-2

M3 - Journal article

C2 - 31856735

AN - SCOPUS:85076990777

VL - 20

SP - 1

EP - 23

JO - BMC Genomics

JF - BMC Genomics

SN - 1471-2164

M1 - 995

ER -

ID: 234077107