Thursday, 4 August 2011

Pubmed: RNA-Seq analysis and de novo transcriptome assembly of Hevea brasiliensis.


1. RNA-Seq analysis and de novo transcriptome assembly of Hevea brasiliensis.
Xia Z, Xu H, Zhai J, Li D, Luo H, He C, Huang X.
Plant Mol Biol. 2011 Aug 3. [Epub ahead of print]
PMID: 21811850 [PubMed - as supplied by publisher]





Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources/Institute of BioScience and Technology, College of Agriculture, Hainan University, Haikou, 570228, People's Republic of China.

Abstract

Hevea brasiliensis, being the only source of commercial natural rubber, is an extremely economically important crop. In an effort to facilitate biological, biochemical and molecular research in rubber biosynthesis, here we report the use of next-generation massively parallel sequencing technologies and de novo transcriptome assembly to gain a comprehensive overview of the H. brasiliensis transcriptome. The sequencing output generated more than 12 million reads with an average length of 90 nt. In total 48,768 unigenes (mean size = 436 bp, median size = 328 bp) were assembled through de novo transcriptome assembly. Out of 13,807 H. brasiliensis cDNA sequences deposited in Genbank of the National Center for Biotechnology Information (NCBI) (as of Feb 2011), 11,746 sequences (84.5%) could be matched with the assembled unigenes through nucleotide BLAST. The assembled sequences were annotated with gene descriptions, Gene Ontology (GO) and Clusters of Orthologous Group (COG) terms. In all, 37,432 unigenes were successfully annotated, of which 24,545 (65.5%) aligned to Ricinus communis proteins. Furthermore, the annotated uingenes were functionally classified according to the GO, COG and Kyoto Encyclopedia of Genes and Genomes databases. Our data provides the most comprehensive sequence resource available for the study of rubber trees as well as demonstrates effective use of Illumina sequencing and de novo transcriptome assembly in a species lacking genomic information.






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