Trimarsanto Hidayat, Benavente Ernest D, Noviyanti Rintis, Utami Retno Ayu Setya, Trianty Leily, Pava Zuleima, Getachew Sisay, Kim Jung-Yeon, Goo Youn-Kyoung, Wangchuck Sonam, Liu Yaobao, Gao Qi, Dowd Simone, Cheng Qin, Clark Taane G, Price Ric N, Auburn Sarah
Eijkman Institute for Molecular Biology, Jakarta Pusat, Indonesia.
Agency for Assessment and Application of Technology, Jakarta Pusat, Indonesia.
PLoS Negl Trop Dis. 2017 Mar 31;11(3):e0005465. doi: 10.1371/journal.pntd.0005465. eCollection 2017 Mar.
The control and elimination of Plasmodium vivax will require a better understanding of its transmission dynamics, through the application of genotyping and population genetics analyses. This paper describes VivaxGEN (http://vivaxgen.menzies.edu.au), a web-based platform that has been developed to support P. vivax short tandem repeat data sharing and comparative analyses.
The VivaxGEN platform provides a repository for raw data generated by capillary electrophoresis (FSA files), with fragment analysis and standardized allele calling tools. The query system of the platform enables users to filter, select and differentiate samples and alleles based on their specified criteria. Key population genetic analyses are supported including measures of population differentiation (FST), expected heterozygosity (HE), linkage disequilibrium (IAS), neighbor-joining analysis and Principal Coordinate Analysis. Datasets can also be formatted and exported for application in commonly used population genetic software including GENEPOP, Arlequin and STRUCTURE. To date, data from 10 countries, including 5 publicly available data sets have been shared with VivaxGEN.
VivaxGEN is well placed to facilitate regional overviews of P. vivax transmission dynamics in different endemic settings and capable to be adapted for similar genetic studies of P. falciparum and other organisms.
间日疟原虫的控制与消除需要通过应用基因分型和群体遗传学分析,更好地了解其传播动态。本文介绍了VivaxGEN(http://vivaxgen.menzies.edu.au),这是一个基于网络的平台,旨在支持间日疟原虫短串联重复序列数据共享和比较分析。
VivaxGEN平台提供了一个用于存储毛细管电泳生成的原始数据(FSA文件)的库,并配有片段分析和标准化等位基因分型工具。该平台的查询系统使用户能够根据指定标准筛选、选择和区分样本及等位基因。支持关键的群体遗传学分析,包括群体分化度量(FST)、期望杂合度(HE)、连锁不平衡(IAS)、邻接法分析和主坐标分析。数据集还可以进行格式化并导出,以便在常用的群体遗传学软件(如GENEPOP、Arlequin和STRUCTURE)中应用。迄今为止,已与VivaxGEN共享了来自10个国家的数据,其中包括5个公开可用的数据集。
VivaxGEN非常适合促进对不同流行地区间日疟原虫传播动态的区域概述,并且能够适用于恶性疟原虫和其他生物体的类似遗传学研究。