ArticleNature communications2025
Augmenting microbial phylogenomic signal with tailored marker gene sets.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Isolation of genome-predicted Caldatribacterium (Atribacterota) reveals pervasive microbial cultivation problem due to folate precipitation.Nature communications · 2026Article
- Phyling: phylogenetic inference from annotated genomes.G3 (Bethesda, Md.) · 2026Article
- Augmenting microbial phylogenomic signal with tailored marker gene sets.Nature communications · 2025Article
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3 authors.
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Abstract
Phylogenetic marker genes are traditionally selected from a fixed collection of whole genomes representing major microbial phyla, covering only a small fraction of gene families. However, most microbial diversity resides in metagenome-assembled genomes, which exhibit taxonomic imbalance and harbor gene families that do not fit the criteria for universal orthologs. To address these limitations, we introduce TMarSel, a software tool for automated, free-from-expert opinion, and tailored marker selection for deep microbial phylogenomics. TMarSel allows users to select a variable number of markers and copies based on KEGG and EggNOG gene family annotations, enabling a systematic evaluation of the phylogenetic signal from the entire gene family pool. We show that an expanded marker selection tailored to the input genomes improves the accuracy of phylogenetic trees across simulated and real-world datasets of whole genomes and metagenome-assembled genomes compared to previous markers, even when metagenome-assembled genomes lack a fraction of open reading frames. The selected markers have functional annotations related to metabolism, cellular processes, and environmental information processing, in addition to replication, translation, and transcription. TMarSel provides flexibility in the number of markers, copies, and annotation databases while remaining robust against taxonomic imbalance and incomplete genomic data.
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