Project description: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
Project description: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.
Project description:Tapping panel dryness (TPD) seriously affects the natural rubber (NR) production of Hevea brasiliensis (rubber tree). Several studies have speculated that TPD influences NR biosynthesis in the latex of rubber trees based on the expression changes of NR biosynthesis-related genes. In this study, iTRAQ analysis of latex were carried out to reveal the molecular mechanism of TPD affecting rubber trees NR biosynthesis activity and molecular weight.
Project description:MicroRNAs (miRNAs) are non-coding, short, single-stranded RNAs with essential roles in gene regulation in various organisms including higher plants. In contrast to the vast information on miRNAs from many economically important plants, almost nothing has been reported on the identification or analysis of miRNAs from rubber tree (Hevea brasiliensis L.), the most important natural rubber-producing crop. To identify miRNAs and their target genes in rubber tree, high throughput sequencing combined with a computational approach was performed. Four small RNA libraries were constructed for deep sequencing from mature and young leaves of two rubber tree clones, PB 260 and PB 217, which provide high and low latex yield, respectively. 237 miRNAs belonging to 37 known miRNA families were identified, and northern hybridization validated miRNA expression and revealed developmental stage-dependent and clone-specific expression for some miRNAs. We took advantage of the newly released rubber tree genome assembly as well as the genomic databases from leafy spurge and cassava, two species related to rubber tree, and predicted 15 novel miRNAs.
Project description:MicroRNAs (miRNAs) are non-coding, short, single-stranded RNAs with essential roles in gene regulation in various organisms including higher plants. In contrast to the vast information on miRNAs from many economically important plants, almost nothing has been reported on the identification or analysis of miRNAs from rubber tree (Hevea brasiliensis L.), the most important natural rubber-producing crop. To identify miRNAs and their target genes in rubber tree, high throughput sequencing combined with a computational approach was performed. Four small RNA libraries were constructed for deep sequencing from mature and young leaves of two rubber tree clones, PB 260 and PB 217, which provide high and low latex yield, respectively. 237 miRNAs belonging to 37 known miRNA families were identified, and northern hybridization validated miRNA expression and revealed developmental stage-dependent and clone-specific expression for some miRNAs. We took advantage of the newly released rubber tree genome assembly as well as the genomic databases from leafy spurge and cassava, two species related to rubber tree, and predicted 15 novel miRNAs. 4 samples examined: PB260 mature leaves, PB260 young leaves, PB217 mature leaves, and PB217 young leaves.
Project description:We report here the use of next-generation massively parallel sequencing technologies and de novo transcriptome assembly to gain insight into the wide range of transcriptome of two Hevea brasiliensis clones (RY8-79 and PR107). The output of sequenced data showed that more than 26 million sequence reads with average length of 90nt were generated in both clones. Totally 51829 unigenes (mean size = 640 bp) were assembled through transcriptome de novo assembly, which represent more than 16-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. Base on limit rule with FDR≤0.001 and |log2 Ratio|≥1, 6726 different expression unigenes (3018 up and 3708 down) were detected as PR107 versus RY8-79. Functional analysis showed mass of categories were reprogrammed between two clones, which relate latex generation and expelling difference between them. As a comparative transcriptome analysis, the results obtained here will greatly expand our understanding of physiological differences among varieties in molecular level and will contribute t The transcriptome of latex in Hevea brasiliensis