<scp>DiatOmicBase</scp> : a versatile gene‐centered platform for mining functional omics data in diatom research

Diatoms are prominent microalgae found in all aquatic environments. Over the last 20 years, 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 20 years 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.

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Publication Details

Journal
The Plant Journal
Published
2025-03-01
DOI
https://doi.org/10.1111/tpj.70061
Citations
7
Primary Topic
Diatoms and Algae Research
Type
article
Field-Weighted Citation Impact
4.18

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article

DiatOmicBase : a versatile gene‐centered platform for mining functional omics data in diatom research

Nathanaël Zweig, Richard G. Dorrell, Chris Bowler, R Monteil et al.
7 citations
The Plant Journal
Diatoms and Algae Research
4.18
article

DiatOmicBase : a versatile gene‐centered platform for mining functional omics data in diatom research

Nathanaël Zweig, Richard G. Dorrell, Chris Bowler, R Monteil, Pierre Vincens, Carole Duchêne, Helena Cruz de Carvalho, Klaas Vandepoele, Émilie Villar, Angela Falciatore, Michele Fabris, Shun Liu
article en
7 citations

Abstract

Diatoms are prominent microalgae found in all aquatic environments. Over the last 20 years, 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 20 years 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.

The Plant JournalVol. 121(6)
Centre National de la Recherche Scientifique (FR), Inserm (FR), University of Southern Denmark (DK), Université Paris-Est Créteil (FR), École Normale Supérieure - PSL (FR), Ghent University (BE), Sorbonne Université (FR), Biologie Computationnelle, Quantitative et Synthétique (FR), VIB-UGent Center for Plant Systems Biology (BE), Institut de Biologie Physico-Chimique (FR), Institut de Biologie de l'École Normale Supérieure (FR), VIB-VUB Center for Structural Biology (BE), Biologie du Chloroplaste et Perception de la Lumière chez les Microalgues (FR)
Gordon and Betty Moore Foundation, Villum Fonden, Agence Nationale de la Recherche, Fonds Wetenschappelijk Onderzoek, Fondation Bettencourt Schueller, European Research Council, H2020 European Research Council
Openalex Percentile: Top 6%
Diatoms and Algae Research
4.18
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