Evidence map›Paper›PMID 42803191›Full record

ArticleNucleic acids research2026

Targeted ortholog search in unannotated genome assemblies with fDOG-Assembly.

Hannah Muelbaier, Freya Arthen, Vinh Tran, Ina Schaefer, Miklós Bálint, Ingo Ebersberger

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hannah MuelbaierApplied Bioinformatics Group, Faculty of Biosciences, Goethe University Frankfurt, D-60438 Frankfurt am Main, Germany.ORCID 0009-0009-4651-8650
Freya ArthenApplied Bioinformatics Group, Faculty of Biosciences, Goethe University Frankfurt, D-60438 Frankfurt am Main, Germany.
Vinh TranApplied Bioinformatics Group, Faculty of Biosciences, Goethe University Frankfurt, D-60438 Frankfurt am Main, Germany.
Ina SchaeferLOEWE Centre for Translational Biodiversity Genomics (TBG), D-60325 Frankfurt am Main, Germany.ORCID 0000-0002-2841-4219
Miklós BálintLOEWE Centre for Translational Biodiversity Genomics (TBG), D-60325 Frankfurt am Main, Germany.
Ingo EbersbergerApplied Bioinformatics Group, Faculty of Biosciences, Goethe University Frankfurt, D-60438 Frankfurt am Main, Germany.ORCID 0000-0001-8187-9253

Funding

Genomic Basis of Evolutionary Innovations (GEvol)German Research Foundation SPP 2349Landes-Offensive zur Entwicklung Wissenschaftlich-ökonomischer Exzellenz LOEWE/1/10/519/03/03.001(0014)/52LOEWE Centre for Translational Biodiversity Genomics
6 · The paper itself

Abstract

Whole genome shotgun sequencing and assembly is routine. However, identifying protein-coding genes in newly assembled genomes remains complex, time-consuming, and labour-intensive. Therefore, most eukaryotic genome assemblies in public databases lack gene annotations reducing their value for evolutionary and functional genomics. Here, we present fDOG-Assembly (fDA), a novel tool for targeted, feature architecture-aware ortholog searches directly in unannotated genome assemblies. Benchmarking shows that fDA performs similarly to BUSCO and Compleasm in ortholog identification while offering the advantage of not being restricted to universal single-copy genes. Applied to identify orthologs of 5000 human genes in rat and Nematostella vectensis, fDA approaches the performance of traditional ortholog search tools that rely on pre-annotated proteomes. Importantly, it can recover orthologs missed by conventional methods because of incomplete gene annotations, helping to fill gaps in phylogenetic profiles. As a case study, we screened 176 soil invertebrate genome assemblies for genes involved in antibacterial compound production. We found that orthologs of β-lactam biosynthesis genes are widespread in springtails, with individual species possessing nearly complete cephamycin biosynthetic gene sets, suggesting they may represent previously unrecognized natural producers of β-lactam antibiotics. Overall, fDA is a powerful resource for orthology-based analyses of the rapidly growing collection of unannotated genome assemblies.

Indexed as

GenomeGenomicsSoftwareAnimalsbeta-LactamsHumansMolecular Sequence AnnotationPhylogenyRatsbeta-Lactams

Identifiers

PMID42803191
PMCPMC13617353

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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.