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SGR:一个林莓的在线基因组资源。

SGR: an online genomic resource for the woodland strawberry.

机构信息

Department of Computer and Information Sciences, Towson University, 7800 York Road, Towson, MD 21252, USA.

出版信息

BMC Plant Biol. 2013 Dec 23;13:223. doi: 10.1186/1471-2229-13-223.

Abstract

BACKGROUND

Fragaria vesca, a diploid strawberry species commonly known as the alpine or woodland strawberry, is a versatile experimental plant system and an emerging model for the Rosaceae family. An ancestral F. vesca genome contributed to the genome of the octoploid dessert strawberry (F. ×ananassa), and the extant genome exhibits synteny with other commercially important members of the Rosaceae family such as apple and peach. To provide a molecular description of floral organ and fruit development at the resolution of specific tissues and cell types, RNAs from flowers and early developmental stage fruit tissues of the inbred F. vesca line YW5AF7 were extracted and the resulting cDNA libraries sequenced using an Illumina HiSeq2000. To enable easy access as well as mining of this two-dimensional (stage and tissue) transcriptome dataset, a web-based database, the Strawberry Genomic Resource (SGR), was developed.

DESCRIPTION

SGR is a web accessible database that contains sample description, sample statistics, gene annotation, and gene expression analysis. This information can be accessed publicly from a web-based interface at http://bioinformatics.towson.edu/strawberry/Default.aspx. The SGR website provides user friendly search and browse capabilities for all the data stored in the database. Users are able to search for genes using a gene ID or description or obtain differentially expressed genes by entering different comparison parameters. Search results can be downloaded in a tabular format compatible with Microsoft excel application. Aligned reads to individual genes and exon/intron structures are displayed using the genome browser, facilitating gene re-annotation by individual users.

CONCLUSIONS

The SGR database was developed to facilitate dissemination and data mining of extensive floral and fruit transcriptome data in the woodland strawberry. It enables users to mine the data in different ways to study different pathways or biological processes during reproductive development.

摘要

背景

高山或林地草莓( Fragaria vesca )是一种二倍体草莓物种,是一种多功能的实验植物系统,也是蔷薇科家族的新兴模式植物。一个原始的高山草莓基因组为八倍体甜点草莓( F. ×ananassa )的基因组做出了贡献,而现存的基因组与其他商业上重要的蔷薇科成员(如苹果和桃)具有同线性。为了提供花器官和果实发育的分子描述,在特定组织和细胞类型的分辨率下,从自交系 YW5AF7 的花和早期发育阶段的果实组织中提取了 RNA,并使用 Illumina HiSeq2000 对所得 cDNA 文库进行了测序。为了方便访问和挖掘这个二维(阶段和组织)转录组数据集,开发了一个基于网络的数据库,即草莓基因组资源(SGR)。

描述

SGR 是一个可通过网络访问的数据库,其中包含样品描述、样品统计信息、基因注释和基因表达分析。这些信息可以从基于网络的界面http://bioinformatics.towson.edu/strawberry/Default.aspx上公开访问。SGR 网站为数据库中存储的所有数据提供了用户友好的搜索和浏览功能。用户可以使用基因 ID 或描述搜索基因,或者通过输入不同的比较参数获得差异表达基因。搜索结果可以以兼容 Microsoft excel 应用程序的表格格式下载。使用基因组浏览器显示对齐到各个基因和外显子/内含子结构的读取,从而促进了个体用户的基因重新注释。

结论

SGR 数据库的开发是为了促进林地草莓广泛的花和果实转录组数据的传播和数据挖掘。它使用户能够以不同的方式挖掘数据,以研究生殖发育过程中的不同途径或生物学过程。

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