Unknown,Transcriptomics,Genomics,Proteomics

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SRA of transcriptome of Hevea brasiliensis


ABSTRACT: We first report the use of next-generation massively parallel sequencing technologies and de novo transcriptome assembly to gain insight into the wide range of transcriptome of Hevea brasiliensis. The output of sequenced data showed that more than 12 million sequence reads with average length of 90nt were generated. Totally 48,768 unigenes (mean size = 488 bp) were assembled through transcriptome de novo assembly, which represent more than 3-fold of all the sequences of Hevea brasiliensis deposited in the GenBank. Assembled sequences were annotated with gene descriptions, gene ontology and clusters of orthologous group terms. Total 37,373 unigenes were successfully annotated and more than 10% of unigenes were aligned to known proteins of Euphorbiaceae. The unigenes contain nearly complete collection of known rubber-synthesis-related genes. Our data provides the most comprehensive sequence resource available for study rubber tree and demonstrates the availability of Illumina sequencing and de novo transcriptome assembly in a species lacking genome information. The transcriptome of latex and leaf in Hevea brasiliensis

ORGANISM(S): Hevea brasiliensis

SUBMITTER: lili hao 

PROVIDER: E-GEOD-26514 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

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

Xia Zhihui Z   Xu Huimin H   Zhai Jinling J   Li Dejun D   Luo Hongli H   He Chaozu C   Huang Xi X  

Plant molecular biology 20110803 3


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  ...[more]

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