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Transcriptome sequencing and analysis of rubber tree (Hevea brasiliensis Muell.) to discover putative genes associated with tapping panel dryness (TPD)

文献类型： 外文期刊

作者： Liu, Jin-Ping 1 ; Xia, Zhi-Qiang 2 ; Tian, Xiao-Yan 1 ; Li, Yi-Jian 3 ;

作者机构： 1.Hainan Univ, Coll Agron, Hainan Key Lab Sustainable Utilizat Trop Bioresou, Haikou 570228, Hainan, Peoples R China

2.Chinese Acad Trop Agr Sci, Inst Trop Biosci & Biotechnol, Haikou 571101, Hainan, Peoples R China

3.Chinese Acad Trop Agr Sci, Rubber Res Inst, Serv Ctr Sci & Technol, Danzhou 571737, Hainan, Peoples R China

关键词： Rubber tree;TPD;Transcriptome;Latex biosynthesis;Jasmonate synthesis

期刊名称：BMC GENOMICS （ 影响因子：3.969； 五年影响因子：4.478 ）

ISSN： 1471-2164

年卷期： 2015 年 16 卷

页码：

收录情况： SCI

摘要： Background: Tapping panel dryness (TPD) involves in the partial or complete cessation of latex flow thus seriously affect latex production in rubber tree (Hevea brasiliensis). Numerous studies have been conducted to define its origin and nature, but the molecular nature and mechanism of TPD occurrence remains unknown. This study is committed to de novo sequencing and comparative analysis of the transcriptomes of healthy (H) and TPD-affected (T) rubber trees to identify the genes and pathways related to the TPD. Results: Total raw reads of 34,632,012 and 35,913,020 bp were obtained from H and T library, respectively using Illumina Hiseq 2000 sequencing technology. De novo assemblies yielded 141,456 and 169,285 contigs, and 96,070 and 112,243 unigenes from H and T library, respectively. Among 73597 genes, 22577 genes were identified as differential expressed genes between H and T library via comparative transcript profiling. A majority of genes involved in natural rubber biosynthesis and jasmonate synthesis with most potential relevance in TPD occurrence were found to be differentially expressed. Conclusions: In TPD-affected trees, the expression of most genes related to the latex biosynthesis and jasmonate synthesis was severely inhibited and is probably the direct cause of the TPD. These new de novo transcriptome data sets provide a significant resource for the discovery of genes related to TPD and improve our understanding of the occurrence and maintainace of TPD.

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