Thiébaut Antonin, Altenhoff Adrian M, Campli Giulia, Glover Natasha, Dessimoz Christophe, Waterhouse Robert M
Department of Ecology and Evolution, SIB Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland.
Department of Computer Science, SIB Swiss Institute of Bioinformatics, ETH Zurich, Zurich, Switzerland.
F1000Res. 2024 Jan 16;12:936. doi: 10.12688/f1000research.135250.2. eCollection 2023.
Comparative genomic analyses to delineate gene evolutionary histories inform the understanding of organismal biology by characterising gene and gene family origins, trajectories, and dynamics, as well as enabling the tracing of speciation, duplication, and loss events, and facilitating the transfer of gene functional information across species. Genomic data are available for an increasing number of species from the genus Drosophila, however, a dedicated resource exploiting these data to provide the research community with browsable results from genus-wide orthology delineation has been lacking.
Using the OMA Orthologous Matrix orthology inference approach and browser deployment framework, we catalogued orthologues across a selected set of Drosophila species with high-quality annotated genomes. We developed and deployed a dedicated instance of the OMA browser to facilitate intuitive exploration, visualisation, and downloading of the genus-wide orthology delineation results.
DrosOMA - the Drosophila Orthologous Matrix browser, accessible from https://drosoma.dcsr.unil.ch/ - presents the results of orthology delineation for 36 drosophilids from across the genus and four outgroup dipterans. It enables querying and browsing of the orthology data through a feature-rich web interface, with gene-view, orthologous group-view, and genome-view pages, including comprehensive gene name and identifier cross-references together with available functional annotations and protein domain architectures, as well as tools to visualise local and global synteny conservation.
The DrosOMA browser demonstrates the deployability of the OMA browser framework for building user-friendly orthology databases with dense sampling of a selected taxonomic group. It provides the Drosophila research community with a tailored resource of browsable results from genus-wide orthology delineation.
通过描述基因和基因家族的起源、发展轨迹及动态变化,比较基因组分析有助于理解生物体生物学特性,还能追踪物种形成、基因复制和丢失事件,并促进跨物种基因功能信息的传递。目前,越来越多果蝇属物种的基因组数据已可获取,但仍缺乏一种专门利用这些数据为研究群体提供全属直系同源性描绘可浏览结果的资源。
我们使用OMA直系同源矩阵直系同源性推断方法和浏览器部署框架,对一组具有高质量注释基因组的果蝇物种进行了直系同源物编目。我们开发并部署了一个专门的OMA浏览器实例,以方便直观地探索、可视化和下载全属直系同源性描绘结果。
DrosOMA(果蝇直系同源矩阵浏览器,可从https://drosoma.dcsr.unil.ch/访问)展示了36种果蝇属物种和4种外群双翅目昆虫的直系同源性描绘结果。它通过一个功能丰富的网络界面实现对直系同源性数据的查询和浏览,该界面包括基因视图、直系同源组视图和基因组视图页面,提供全面的基因名称和标识符交叉引用以及可用的功能注释和蛋白质结构域架构,还有可视化局部和全局共线性保守性的工具。
DrosOMA浏览器证明了OMA浏览器框架可用于构建对选定分类群进行密集采样的用户友好型直系同源性数据库。它为果蝇研究群体提供了一个经过定制的全属直系同源性描绘可浏览结果资源。