Bryant Laura, Flatley Brian, Patole Chhaya, Brown Geoffrey D, Cramer Rainer
Department of Chemistry, Whiteknights, Reading, RG6 6AD, United Kingdom.
BMC Plant Biol. 2015 Jul 9;15:175. doi: 10.1186/s12870-015-0565-7.
MS-based proteomics was applied to the analysis of the medicinal plant Artemisia annua, exploiting a recently published contig sequence database (Graham et al. (2010) Science 327, 328-331) and other genomic and proteomic sequence databases for comparison. A. annua is the predominant natural source of artemisinin, the precursor for artemisinin-based combination therapies (ACTs), which are the WHO-recommended treatment for P. falciparum malaria.
The comparison of various databases containing A. annua sequences (NCBInr/viridiplantae, UniProt/viridiplantae, UniProt/A. annua, an A. annua trichome Trinity contig database, the above contig database and another A. annua EST database) revealed significant differences in respect of their suitability for proteomic analysis, showing that an organism-specific database that has undergone extensive curation, leading to longer contig sequences, can greatly increase the number of true positive protein identifications, while reducing the number of false positives. Compared to previously published data an order-of-magnitude more proteins have been identified from trichome-enriched A. annua samples, including proteins which are known to be involved in the biosynthesis of artemisinin, as well as other highly abundant proteins, which suggest additional enzymatic processes occurring within the trichomes that are important for the biosynthesis of artemisinin.
The newly gained information allows for the possibility of an enzymatic pathway, utilizing peroxidases, for the less well understood final stages of artemisinin's biosynthesis, as an alternative to the known non-enzymatic in vitro conversion of dihydroartemisinic acid to artemisinin. Data are available via ProteomeXchange with identifier PXD000703.
基于质谱的蛋白质组学技术被应用于药用植物青蒿的分析,利用了最近发布的重叠群序列数据库(格雷厄姆等人,(2010年)《科学》327卷,328 - 331页)以及其他基因组和蛋白质组序列数据库进行比较。青蒿是青蒿素的主要天然来源,青蒿素是基于青蒿素的联合疗法(ACTs)的前体,而ACTs是世界卫生组织推荐的治疗恶性疟原虫疟疾的方法。
对包含青蒿序列的各种数据库(NCBInr/绿藻植物、UniProt/绿藻植物、UniProt/青蒿、青蒿腺毛Trinity重叠群数据库、上述重叠群数据库以及另一个青蒿EST数据库)的比较显示,它们在蛋白质组学分析的适用性方面存在显著差异,表明经过广泛整理从而产生更长重叠群序列的物种特异性数据库,可以大幅增加真阳性蛋白质鉴定的数量,同时减少假阳性的数量。与先前发表的数据相比,从富含腺毛的青蒿样本中鉴定出的蛋白质数量增加了一个数量级,包括已知参与青蒿素生物合成的蛋白质,以及其他高丰度蛋白质,这表明腺毛内发生的其他酶促过程对青蒿素的生物合成很重要。
新获得的信息使得有可能存在一条利用过氧化物酶的酶促途径,用于青蒿素生物合成中了解较少的最后阶段,作为已知的二氢青蒿酸体外非酶促转化为青蒿素的替代途径。数据可通过ProteomeXchange获取,标识符为PXD000703。