Computational Identification of Sweet Wormwood (Artemisia annua) microRNA and Their mRNA Targets

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• 作者：Alok Pani^a ; Rajani Kanta Mahapatra^a ; ^b ; ^{rmohapatra@kiitbiotech.ac.in} ; Niranjan Behera^b ; Pradeep Kumar Naik^c
• 关键词：artemisinin ; microRNA ; EST ; computational prediction ; Artemisia annua
• 刊名：Genomics, Proteomics Bioinformatics
• 出版年：2011
• 出版时间：December 2011
• 年：2011
• 卷：9
• 期：6
• 页码：200-210
• 全文大小：747 K

文摘

Despite its efficacy against malaria, the relatively low yield (0.01 % -0.8 % ) of artemisinin in Artemisia annua is a serious limitation to the commercialization of the drug. A better understanding of the biosynthetic pathway of artemisinin and its regulation by both exogenous and endogenous factors is essential to improve artemisinin yield. Increasing evidence has shown that microRNAs (miRNAs) play multiple roles in various biological processes. In this study, we used previously known miRNAs from Arabidopsis and rice against expressed sequence tag (EST) database of A. annua to search for potential miRNAs and their targets in A. annua. A total of six potential miRNAs were predicted, which belong to the miR414 and miR1310 families. Furthermore, eight potential target genes were identified in this species. Among them, seven genes encode proteins that play important roles in artemisinin biosynthesis, including HMG-CoA reductase (HMGR), amorpha-4,11-diene synthase (ADS), farnesyl pyrophosphate synthase (FPS) and cytochrome P450. In addition, a gene coding for putative AINTEGUMENTA, which is involved in signal transduction and development, was also predicted as one of the targets. This is the first in silico study to indicate that miRNAs target genes encoding enzymes involved in artemisinin biosynthesis, which may help to understand the miRNA-mediated regulation of artemisinin biosynthesis in A. annua.