摘要
目的探究广东道地药材高良姜的转录组特征,为其资源可持续性研究奠定基础。方法以道地产区高良姜叶片、茎和根茎为研究材料,采用高通量测序(RNA-seq)技术进行转录组测序,并利用Trinity软件组装出非重复序列基因(unigene)。将获得的unigenes映射至Nr、KOG、Swissprot、GO、KEGG等蛋白质数据库进行功能基因注释、代谢通路分析。结果从高良姜不同组织中共获得147 652条unigenes,平均长度为895 bp,平均GC含量为42.61%。共有78 537条unigenes获得功能注释,占总unigene数的53.19%,其中在Nr、KOG、Swissprot和KEGG数据库中获得注释的unigenes数量分别为70 057、50 139、58 718和27 109条。在KEGG获得注释的unigenes被归属至129条代谢途径,其中涉及次生代谢产物生物合成的途径有34条。结论该研究在无基因组参考的情况下,探讨了高良姜转录组特征,为基于功能基因调控的高良姜药效成分的生物合成、品种优育等后续研究提供了丰富的基因数据。
Objective To explore the transcriptome characteristics and further provide a firm foundation for sustainable development research of Alpinia officinarum, a famous traditional Chinese medicine originated from Guangdong Province. Methods Transcriptome data was acquired from three tissues including leaf, stem and rhizome of A. officinarum using RNA-seq technique. The unigenes were assembled using Trinity software and mapped to protein databases including Nr,KOG,Swissprot,GO and KEGG to achieve annotation. Results A total of 147 652 unigenes were obtained from different tissues with average length of 896 bp and GC percentage of 42.61%. Among these unigenes,70 057,50139,58 718 and 27 109 were annotated in Nr,KOG,Swissprot and KEGG,respectively. The unigenes hit an annotation in KEGG were categorized into 129 metabolic pathways,among which 34 pathways involved in the biosynthesis of secondary metabolites. Conclusion This work systematically discussed the transcriptome features of A. officinarum,which provided abundant gene data for subsequent studies of biosynthesis of effective components and breeding based on regulation of functional genes.
作者
黄琼林
HUANG Qionglin(Guangdong Medical University,Zhanjiang 524023 Guangdong,China)
出处
《中药新药与临床药理》
CAS
CSCD
北大核心
2020年第6期729-734,共6页
Traditional Chinese Drug Research and Clinical Pharmacology
基金
广东省自然科学基金博士启动项目(2015A030310519)。
