Diatoms are prominent microalgae found in all aquatic environments. Over the last 20âyears, thanks to the availability of genomic and genetic resources, diatom species such as Phaeodactylum tricornutum and Thalassiosira pseudonana have emerged as valuable experimental model systems for exploring topics ranging from evolution to cell biology, (eco)physiology, and biotechnology. Since the first genome sequencing projects initiated more than 20âyears ago, numerous genome-enabled datasets have been generated, based on RNA-Seq and proteomics experiments, epigenomes, and ecotype variant analysis. Unfortunately, these resources, generated by various laboratories, are often in disparate formats and challenging to access and analyze. Here we present DiatOmicBase, a genome portal gathering comprehensive omics resources from P. tricornutum and T. pseudonana to facilitate the exploration of dispersed public datasets and the design of new experiments based on the prior-art. DiatOmicBase provides gene annotations, transcriptomic profiles and a genome browser with ecotype variants, histone and methylation marks, transposable elements, non-coding RNAs, and read densities from RNA-Seq experiments. We developed a semi-automatically updated transcriptomic module to explore both publicly available RNA-Seq experiments and users' private datasets. Using gene-level expression data, users can perform exploratory data analysis, differential expression, pathway analysis, biclustering, and co-expression network analysis. Users can create heatmaps to visualize pre-computed comparisons for selected gene subsets. Automatic access to other bioinformatic resources and tools for diatom comparative and functional genomics is also provided. Focusing on the resources currently centralized for P. tricornutum, we showcase several examples of how DiatOmicBase strengthens molecular research on diatoms, making these organisms accessible to a broad research community.
DiatOmicBase: a versatile gene-centered platform for mining functional omics data in diatom research.
DiatOmicBase:一个多功能的以基因为中心的平台,用于挖掘硅藻研究中的功能组学数据
阅读:7
作者:Villar Emilie, Zweig Nathanaël, Vincens Pierre, Cruz de Carvalho Helena, Duchene Carole, Liu Shun, Monteil Raphael, Dorrell Richard G, Fabris Michele, Vandepoele Klaas, Bowler Chris, Falciatore Angela
| 期刊: | Plant Journal | 影响因子: | 5.700 |
| 时间: | 2025 | 起止号: | 2025 Mar;121(6):e70061 |
| doi: | 10.1111/tpj.70061 | 研究方向: | 心血管 |
特别声明
1、本文转载旨在传播信息,不代表本网站观点,亦不对其内容的真实性承担责任。
2、其他媒体、网站或个人若从本网站转载使用,必须保留本网站注明的“来源”,并自行承担包括版权在内的相关法律责任。
3、如作者不希望本文被转载,或需洽谈转载稿费等事宜,请及时与本网站联系。
4、此外,如需投稿,也可通过邮箱info@biocloudy.com与我们取得联系。
