Annotation of protein-coding genes in 49 diatom genomes from the Bacillariophyta clade

Diatoms, a major group of microalgae, play a critical role in global carbon cycling and primary production. Despite their ecological significance, comprehensive genomic resources for diatoms are limited. To address this, we have annotated previously unannotated genome assemblies of 49 diatom species. Genome assemblies were obtained from NCBI Datasets and processed for repeat elements using RepeatModeler2 and RepeatMasker. For gene prediction, BRAKER2 was employed in the absence of transcriptomic data, while BRAKER3 was utilised when transcriptome short read data were available from the Sequence Read Archive. The quality of genome assemblies and predicted protein sets was evaluated using BUSCO, ensuring high-quality genomic resources. Functional annotation was performed using EnTAP, providing insights into the biological roles of the predicted proteins. Our study enhances the genomic toolkit available for diatoms, facilitating future research in diatom biology, ecology, and evolution.

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Publication Details

Journal
Scientific Data
Published
2025-06-11
DOI
https://doi.org/10.1038/s41597-025-05306-z
Citations
4
Primary Topic
Diatoms and Algae Research
Type
article
Field-Weighted Citation Impact
2.39

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article

Annotation of protein-coding genes in 49 diatom genomes from the Bacillariophyta clade

Natalia Nenasheva, Katharina J. Hoff, Mia Maria Bengtsson, Cynthia Webster et al.
4 citations
Scientific Data
Diatoms and Algae Research
2.39
article

Annotation of protein-coding genes in 49 diatom genomes from the Bacillariophyta clade

Natalia Nenasheva, Katharina J. Hoff, Mia Maria Bengtsson, Cynthia Webster, Jill Wegrzyn, Alexander J. Hart, Clara Pitzschel
article en
4 citations

Abstract

Diatoms, a major group of microalgae, play a critical role in global carbon cycling and primary production. Despite their ecological significance, comprehensive genomic resources for diatoms are limited. To address this, we have annotated previously unannotated genome assemblies of 49 diatom species. Genome assemblies were obtained from NCBI Datasets and processed for repeat elements using RepeatModeler2 and RepeatMasker. For gene prediction, BRAKER2 was employed in the absence of transcriptomic data, while BRAKER3 was utilised when transcriptome short read data were available from the Sequence Read Archive. The quality of genome assemblies and predicted protein sets was evaluated using BUSCO, ensuring high-quality genomic resources. Functional annotation was performed using EnTAP, providing insights into the biological roles of the predicted proteins. Our study enhances the genomic toolkit available for diatoms, facilitating future research in diatom biology, ecology, and evolution.

Scientific DataVol. 12(1)
University of Connecticut (US), Universitätsmedizin Greifswald (DE), Universität Greifswald (DE), Micromun (DE), Leibniz Institute for Plasma Science and Technology (DE)
National Science Foundation, Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 12%
Diatoms and Algae Research
2.39
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Annotation of protein-coding genes in 49 diatom genomes from the Bacillariophyta clade — Natalia Nenasheva, Katharina J. Hoff, et al. · Scientific Data (2025) | TGRS Research Map | TGRS