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Recognition of candidate transcription factors related to bilberry fruit ripening by de novo transcriptome and qRT-PCR analyses

Permanent link
https://hdl.handle.net/10037/13807
DOI
https://doi.org/10.1038/s41598-018-28158-7
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Date
2018-07-02
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Author
Nguyen, Nga; Suokas, Marko; Karppinen, Katja; Vuosku, Jaana; Jaakola, Laura; Häggman, Hely
Abstract
Bilberry (Vaccinium myrtillus L.) fruits are an excellent natural resource for human diet because of their special flavor, taste and nutritional value as well as medical properties. Bilberries are recognized for their high anthocyanin content and many of the genes involved in the anthocyanin biosynthesis have been characterized. So far, neither genomic nor RNA-seq data have been available for the species. In the present study, we de novo sequenced two bilberry fruit developmental stages, unripe green (G) and ripening (R). A total of 57,919 unigenes were assembled of which 80.2% were annotated against six public protein databases. The transcriptome served as exploratory data to identify putative transcription factors related to fruit ripening. Differentially expressed genes (DEGs) between G and R stages were prominently upregulated in R stage with the functional annotation indicating their main roles in active metabolism and catalysis. The unigenes encoding putative ripening-related regulatory genes, including members of NAC, WRKY, LOB, ERF, ARF and ABI families, were analysed by qRT-PCR at five bilberry developmental stages. Our de novo transcriptome database contributes to the understanding of the regulatory network associated with the fruit ripening in bilberry and provides the first dataset for wild Vaccinium species acquired by NGS technology.
Description
Source at https://doi.org/10.1038/s41598-018-28158-7.
Publisher
Nature Publishing Group
Citation
Nguyen, N., Suokas, M., Karppinen, K., Vuosku, J., Jaakola, L. & Häggman, H. (2018). Recognition of candidate transcription factors related to bilberry fruit ripening by de novo transcriptome and qRT-PCR analyses. Scientific Reports, 8(9943). https://doi.org/10.1038/s41598-018-28158-7
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