Devi Kamalakshi, Mishra Surajit K, Sahu Jagajjit, Panda Debashis, Modi Mahendra K, Sen Priyabrata
Department of Agricultural Biotechnology, Assam Agricultural University, Jorhat 785013, Assam, India.
DBT-AAU Centre, Department of Agricultural Biotechnology, Assam Agricultural University, Jorhat 785013, Assam, India.
Sci Rep. 2016 Feb 15;6:21026. doi: 10.1038/srep21026.
Advances in transcriptome sequencing provide fast, cost-effective and reliable approach to generate large expression datasets especially suitable for non-model species to identify putative genes, key pathway and regulatory mechanism. Citronella (Cymbopogon winterianus) is an aromatic medicinal grass used for anti-tumoral, antibacterial, anti-fungal, antiviral, detoxifying and natural insect repellent properties. Despite of having number of utilities, the genes involved in terpenes biosynthetic pathway is not yet clearly elucidated. The present study is a pioneering attempt to generate an exhaustive molecular information of secondary metabolite pathway and to increase genomic resources in Citronella. Using high-throughput RNA-Seq technology, root and leaf transcriptome was analysed at an unprecedented depth (11.7 Gb). Targeted searches identified majority of the genes associated with metabolic pathway and other natural product pathway viz. antibiotics synthesis along with many novel genes. Terpenoid biosynthesis genes comparative expression results were validated for 15 unigenes by RT-PCR and qRT-PCR. Thus the coverage of these transcriptome is comprehensive enough to discover all known genes of major metabolic pathways. This transcriptome dataset can serve as important public information for gene expression, genomics and function genomics studies in Citronella and shall act as a benchmark for future improvement of the crop.
转录组测序技术的进步提供了一种快速、经济高效且可靠的方法来生成大型表达数据集,尤其适用于非模式物种,以鉴定潜在基因、关键途径和调控机制。香茅(Cymbopogon winterianus)是一种芳香药草,具有抗肿瘤、抗菌、抗真菌、抗病毒、解毒和天然驱虫特性。尽管有多种用途,但参与萜类生物合成途径的基因尚未完全阐明。本研究是一次开创性尝试,旨在生成次生代谢产物途径的详尽分子信息,并增加香茅的基因组资源。利用高通量RNA测序技术,以前所未有的深度(11.7 Gb)分析了根和叶的转录组。靶向搜索鉴定出了与代谢途径和其他天然产物途径相关的大多数基因,即抗生素合成以及许多新基因。通过RT-PCR和qRT-PCR对15个单基因的萜类生物合成基因比较表达结果进行了验证。因此,这些转录组的覆盖范围足够全面,能够发现主要代谢途径的所有已知基因。这个转录组数据集可以作为香茅基因表达、基因组学和功能基因组学研究的重要公共信息,并将作为该作物未来改良的基准。