ArticleBMC genomics2015
De novo sequencing and analysis of the cranberry fruit transcriptome to identify putative genes involved in flavonoid biosynthesis, transport and regulation.
Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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26 citing papers in PubMed, 60 citations in OpenAlex.
- Leveraging genetic resources and genomic prediction to enhance flavonol content in cranberry fruit.The plant genome · 2025Article
- De novo transcriptome profiling revealing genes involved in piperine biosynthetic pathway in Piper longum L.Scientific reports · 2025Article
- Article
- Of buds and bits: a meta-QTL study identifies stable QTL for berry quality and yield traits in cranberry mapping populations (Frontiers in plant science · 2024Article
- Elucidating the Mesocarp Drupe Transcriptome of Açai (International journal of molecular sciences · 2023Article
- There and back again; historical perspective and future directions forHorticulture research · 2022Article
- Review
- Development of Novel Polymorphic EST-SSR Markers from the Cranberry Fruit Transcriptome.Iranian journal of biotechnology · 2021Article
- Chromosome-Level Genome Assembly of the American Cranberry (Frontiers in plant science · 2021Article
- Single-Molecule Real-Time and Illumina Sequencing to Analyze Transcriptional Regulation of Flavonoid Synthesis in Blueberry.Frontiers in plant science · 2021Article
- Proanthocyanidin Biosynthesis-a Matter of Protection.Plant physiology · 2020Review
- Fruit ripening in Lycium barbarum and Lycium ruthenicum is associated with distinct gene expression patterns.FEBS open bio · 2020Article
- Article
- Transcriptomic and metabolomic analyses of Lycium ruthenicum and Lycium barbarum fruits during ripening.Scientific reports · 2020Article
- 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 · 2019Article
- Comparative transcriptome among Euscaphis konishii Hayata tissues and analysis of genes involved in flavonoid biosynthesis and accumulation.BMC genomics · 2019Article
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- Article
- Article
- Recognition of candidate transcription factors related to bilberry fruit ripening by de novo transcriptome and qRT-PCR analyses.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCranberries (Vaccinium macrocarpon Ait.), renowned for their excellent health benefits, are an important berry crop. Here, we performed transcriptome sequencing of one cranberry cultivar, from fruits at two different developmental stages, on the Illumina HiSeq 2000 platform. Our main goals were to identify putative genes for major metabolic pathways of bioactive compounds and compare the expression patterns between white fruit (W) and red fruit (R) in cranberry.
resultsIn this study, two cDNA libraries of W and R were constructed. Approximately 119 million raw sequencing reads were generated and assembled de novo, yielding 57,331 high quality unigenes with an average length of 739 bp. Using BLASTx, 38,460 unigenes were identified as putative homologs of annotated sequences in public protein databases, including NCBI NR, NT, Swiss-Prot, KEGG, COG and GO. Of these, 21,898 unigenes mapped to 128 KEGG pathways, with the metabolic pathways, secondary metabolites, glycerophospholipid metabolism, ether lipid metabolism, starch and sucrose metabolism, purine metabolism, and pyrimidine metabolism being well represented. Among them, many candidate genes were involved in flavonoid biosynthesis, transport and regulation. Furthermore, digital gene expression (DEG) analysis identified 3,257 unigenes that were differentially expressed between the two fruit developmental stages. In addition, 14,473 simple sequence repeats (SSRs) were detected.
conclusionsOur results present comprehensive gene expression information about the cranberry fruit transcriptome that could facilitate our understanding of the molecular mechanisms of fruit development in cranberries. Although it will be necessary to validate the functions carried out by these genes, these results could be used to improve the quality of breeding programs for the cranberry and related species.
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