ArticleBMC genomics2018
Construction of Pará rubber tree genome and multi-transcriptome database accelerates rubber researches.
Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Involvement of Phytohormone Responses of Rubber Leaves after Pestalotiopsis microspora Infection Revealed with Transcriptome Analysis.The plant pathology journal · 2026Article
- High-throughput single-molecule long-read RNA sequencing analysis of tissue-specific genes and isoforms in lettuce (Lactuca sativa L.).Communications biology · 2024Article
- A high-resolution single-molecule sequencing-based Arabidopsis transcriptome using novel methods of Iso-seq analysis.Genome biology · 2022Article
- Article
- Regulatory Potential of bHLH-Type Transcription Factors on the Road to Rubber Biosynthesis inPlants (Basel, Switzerland) · 2020Article
- Single-Molecule Long-Read Sequencing Reveals the Diversity of Full-Length Transcripts in Leaves ofInternational journal of molecular sciences · 2019Article
- Identification and characterization of jasmonic acid- and linolenic acid-mediated transcriptional regulation of secondary laticifer differentiation in Hevea brasiliensis.Scientific reports · 2019Article
- Genome-Wide Identification and Characterization of the JAZ Gene Family in Rubber Tree (Frontiers in genetics · 2019Article
- Biosynthesis of Natural Rubber: Current State and Perspectives.International journal of molecular sciences · 2018Review
- A bioinformatics potpourri.BMC genomics · 2018Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundNatural rubber is an economically important material. Currently the Pará rubber tree, Hevea brasiliensis is the main commercial source. Little is known about rubber biosynthesis at the molecular level. Next-generation sequencing (NGS) technologies brought draft genomes of three rubber cultivars and a variety of RNA sequencing (RNA-seq) data. However, no current genome or transcriptome databases (DB) are organized by gene.
resultsA gene-oriented database is a valuable support for rubber research. Based on our original draft genome sequence of H. brasiliensis RRIM600, we constructed a rubber tree genome and transcriptome DB. Our DB provides genome information including gene functional annotations and multi-transcriptome data of RNA-seq, full-length cDNAs including PacBio Isoform sequencing (Iso-Seq), ESTs and genome wide transcription start sites (TSSs) derived from CAGE technology. Using our original and publically available RNA-seq data, we calculated co-expressed genes for identifying functionally related gene sets and/or genes regulated by the same transcription factor (TF). Users can access multi-transcriptome data through both a gene-oriented web page and a genome browser. For the gene searching system, we provide keyword search, sequence homology search and gene expression search; users can also select their expression threshold easily.
conclusionThe rubber genome and transcriptome DB provides rubber tree genome sequence and multi-transcriptomics data. This DB is useful for comprehensive understanding of the rubber transcriptome. This will assist both industrial and academic researchers for rubber and economically important close relatives such as R. communis, M. esculenta and J. curcas. The Rubber Transcriptome DB release 2017.03 is accessible at http://matsui-lab.riken.jp/rubber/ .
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