title: RNA-Seq analysis and transcriptome assembly for blackberry (Rubus sp. Var. Lochness) fruit.
abstract: BACKGROUND
  There is an increasing interest in berries, especially blackberries in the diet, because of recent reports of their health benefits due to their high content of flavonoids. A broad range of genomic tools are available for other Rosaceae species but these tools are still lacking in the Rubus genus, thus limiting gene discovery and the breeding of improved varieties.
  
  
  RESULTS
  De novo RNA-seq of ripe blackberries grown under field conditions was performed using Illumina Hiseq 2000. Almost 9 billion nucleotide bases were sequenced in total. Following assembly, 42,062 consensus sequences were detected. For functional annotation, 33,040 (NR), 32,762 (NT), 21,932 (Swiss-Prot), 20,134 (KEGG), 13,676 (COG), 24,168 (GO) consensus sequences were annotated using different databases; in total 34,552 annotated sequences were identified. For protein prediction analysis, the number of coding DNA sequences (CDS) that mapped to the protein database was 32,540. Non redundant (NR), annotation showed that 25,418 genes (73.5%) has the highest similarity with Fragaria vesca subspecies vesca. Reanalysis was undertaken by aligning the reads with this reference genome for a deeper analysis of the transcriptome. We demonstrated that de novo assembly, using Trinity and later annotation with Blast using different databases, were complementary to alignment to the reference sequence using SOAPaligner/SOAP2. The Fragaria reference genome belongs to a species in the same family as blackberry (Rosaceae) but to a different genus. Since blackberries are tetraploids, the possibility of artefactual gene chimeras resulting from mis-assembly was tested with one of the genes sequenced by RNAseq, Chalcone Synthase (CHS). cDNAs encoding this protein were cloned and sequenced. Primers designed to the assembled sequences accurately distinguished different contigs, at least for chalcone synthase genes.
  
  
  CONCLUSIONS
  We prepared and analysed transcriptome data from ripe blackberries, for which prior genomic information was limited. This new sequence information will improve the knowledge of this important and healthy fruit, providing an invaluable new tool for biological research.
authors.affiliation: Facultad de Farmacia, Universidad CEU San Pablo, Ctra, Boadilla del Monte km 5,3, Boadilla del Monte 28668, Madrid, Spain. danielgsh@hotmail.com.
authors.forename: Daniel
authors.initials: D
authors.lastname: Garcia-Seco
authors.forename: Yang
authors.initials: Y
authors.lastname: Zhang
authors.forename: Francisco J
authors.initials: FJ
authors.lastname: Gutierrez-Mañero
authors.forename: Cathie
authors.initials: C
authors.lastname: Martin
authors.forename: Beatriz
authors.initials: B
authors.lastname: Ramos-Solano
mesh_terms: D030541:Databases, Genetic; D020869:Gene Expression Profiling; D059014:High-Throughput Nucleotide Sequencing; D058977:Molecular Sequence Annotation; D065856:Rubus / Q000235:genetics*; D017423:Sequence Analysis, RNA; D059467:Transcriptome