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从药用植物丹参中生成和分析表达序列标签。

Generation and analysis of expressed sequence tags from the medicinal plant Salvia miltiorrhiza.

机构信息

Key Laboratory of the Ministry of Education for Medicinal Resources and Natural Pharmaceutical Chemistry, National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest of China, Shaanxi Normal University, Xi'an, 710062, China.

出版信息

Sci China Life Sci. 2010 Feb;53(2):273-85. doi: 10.1007/s11427-010-0005-8. Epub 2010 Mar 7.

Abstract

Salvia miltiorrhiza Bge. is a well-known traditional Chinese herb. Its roots have been formulated and used clinically for the treatment of various diseases. However, little genetic information has so far been available and this fact has become a major obstacle for molecular studies. To address this lack of genetic information, an Expressed Sequence Tag (EST) library from whole plantlets of S. miltiorrhiza was generated. From the 12959 cDNA clones that were randomly selected and subjected to single-pass sequencing from their 5' ends, 10288 ESTs (with sizes > or = 100 bp) were selected and assembled into 1288 contigs, leaving 2937 singletons, for a total of 4225 unigenes. These were analyzed using BLASTX (against protein databases), RPS-BLAST (against a conserved domain database) as well as the web-based KEGG Automatic Annotation Server for metabolic enzyme assignment. Based on the metabolic enzyme assignment, expression patterns of 14 secondary metabolic enzyme genes in different organs and under different treatments were verified using real-time PCR analysis. Additionally, a total of 122 microsatellites were identified from the ESTs, with 89 having sufficient flanking sequences for primer design. This set of ESTs represents a significant proportion of the S. miltiorrhiza transcriptome, and gives preliminary insights into the gene complement of S. miltiorrhiza. They will prove useful for uncovering secondary metabolic pathways, analyzing cDNA-array based gene expression, genetic manipulation to improve yield of desirable secondary products, and molecular marker identification.

摘要

丹参是一种著名的传统中药。其根已被配方并用于治疗各种疾病的临床。然而,到目前为止,遗传信息很少,这一事实已成为分子研究的主要障碍。为了解决这一缺乏遗传信息的问题,我们从丹参全植物中构建了一个表达序列标签(EST)文库。从随机选择的 12959 个 cDNA 克隆中,对其 5' 端进行单端测序,选择了 10288 个 EST(长度≥100bp),并将其组装成 1288 个 contigs,留下 2937 个单克隆,共 4225 个 unigenes。这些 unigenes 使用 BLASTX(针对蛋白质数据库)、RPS-BLAST(针对保守结构域数据库)以及基于网络的 KEGG 自动注释服务器进行代谢酶分配进行了分析。根据代谢酶分配,使用实时 PCR 分析验证了 14 种次生代谢酶基因在不同器官和不同处理下的表达模式。此外,从 EST 中鉴定出了总共 122 个微卫星,其中 89 个具有足够的侧翼序列用于引物设计。这组 EST 代表了丹参转录组的重要比例,初步了解了丹参的基因组成。它们将有助于揭示次生代谢途径、分析基于 cDNA 阵列的基因表达、遗传操作以提高所需次生产物的产量以及分子标记的鉴定。

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