Evidence map›Paper›PMID 40500266›Full record

ArticleScientific data2025

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

Natalia Nenasheva, Clara Pitzschel, Cynthia N Webster, Alexander J Hart, Jill L Wegrzyn, Mia M Bengtsson, Katharina J Hoff

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. AccuratebioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. The genome of Pleurosigma provides insights into the evolutionary adaptations of pelagic diatoms.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
    Article
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Natalia Nenasheva *University of Greifswald, Institute of Mathematics and Computer Science and Center for Functional Genomics of Microbes, Walther-Rathenau-Str. 47, 17489, Greifswald, Germany.
Clara Pitzschel *University of Greifswald, Institute of Mathematics and Computer Science and Center for Functional Genomics of Microbes, Walther-Rathenau-Str. 47, 17489, Greifswald, Germany.ORCID 0009-0007-7224-5081
Cynthia N WebsterUniversity of Connecticut, Department of Ecology and Evolutionary Biology, Plant Computational Genomics Lab, 75 N. Eagleville Road, Unit 3043, Storrs, CT, 06269-3043, USA.
Alexander J HartUniversity of Connecticut, Department of Ecology and Evolutionary Biology, Plant Computational Genomics Lab, 75 N. Eagleville Road, Unit 3043, Storrs, CT, 06269-3043, USA.
Jill L WegrzynUniversity of Connecticut, Department of Ecology and Evolutionary Biology, Plant Computational Genomics Lab, 75 N. Eagleville Road, Unit 3043, Storrs, CT, 06269-3043, USA.
Mia M BengtssonUniversity of Greifswald, Institute of Microbiology, Felix-Hausdorff-Straße 8, 17489, Greifswald, Germany.
Katharina J HoffUniversity of Greifswald, Institute of Mathematics and Computer Science and Center for Functional Genomics of Microbes, Walther-Rathenau-Str. 47, 17489, Greifswald, Germany. katharina.hoff@uni-greifswald.de.ORCID 0000-0002-7333-8390

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 277249973National Science Foundation (NSF) DBI 1943371
6 · The paper itself

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.

Indexed as

DiatomsGenomeMolecular Sequence Annotation

Identifiers

PMID40500266
PMCPMC12159174

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.