Buscogeny: A BUSCO leveraged phylogenomic tree builder.
- Publisher:
- Springer Nature
- Publication Type:
- Journal Article
- Citation:
- Int Microbiol, 2026, 29, (2), pp. 255-267
- Issue Date:
- 2026-02
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Full metadata record
| Field | Value | Language |
|---|---|---|
| dc.contributor.author | Webster, J | |
| dc.contributor.author | Chapman, TA | |
| dc.date.accessioned | 2026-10-09T07:17:09Z | |
| dc.date.available | 2025-11-04 | |
| dc.date.available | 2026-10-09T07:17:09Z | |
| dc.date.issued | 2026-02 | |
| dc.identifier.citation | Int Microbiol, 2026, 29, (2), pp. 255-267 | |
| dc.identifier.issn | 1139-6709 | |
| dc.identifier.issn | 1618-1905 | |
| dc.identifier.uri | http://hdl.handle.net/10453/197037 | |
| dc.description.abstract | Accurately resolving evolutionary relationships among organisms is a cornerstone of evolutionary biology, with phylogenetic trees serving as critical tools for this purpose. While single-gene phylogenies are widely used, they often fail to capture the full complexity of evolutionary processes, particularly in organisms with complex or variable genomes. Concatenated gene alignments, built from multiple orthologous genes, offer a more robust framework but are challenging to generate, especially in taxa with incomplete or poorly annotated genomes such as fungi. To address this challenge, we present Buscogeny (Busco Phylogeny), an open-source command-line tool that automates the construction of concatenated gene alignments and phylogenetic trees using BUSCO-derived single-copy orthologs. Buscogeny integrates key features including genome quality assessment, ortholog extraction, multiple sequence alignment, gap filtering, and recombination filtering, followed by automated phylogenetic inference. By allowing users to select ortholog datasets of varying resolutions and tailor filtering thresholds, Buscogeny is adaptable to both closely related and more distantly related taxa. We demonstrate the utility of Buscogeny in phylogenetic analyses of both bacterial and fungal genomes, including complex groups such as Alternaria, where annotation and genome completeness vary significantly. The streamlined, reproducible workflow provided by Buscogeny makes BUSCO-based phylogenetic inference accessible to researchers across disciplines, enabling robust evolutionary insights from whole-genome data. | |
| dc.format | Print-Electronic | |
| dc.language | eng | |
| dc.publisher | Springer Nature | |
| dc.relation.ispartof | Int Microbiol | |
| dc.relation.isbasedon | 10.1007/s10123-025-00752-6 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | 0605 Microbiology, 1108 Medical Microbiology | |
| dc.subject.classification | Microbiology | |
| dc.subject.classification | 3107 Microbiology | |
| dc.subject.mesh | Phylogeny | |
| dc.subject.mesh | Genome, Fungal | |
| dc.subject.mesh | Software | |
| dc.subject.mesh | Fungi | |
| dc.subject.mesh | Genomics | |
| dc.subject.mesh | Sequence Alignment | |
| dc.subject.mesh | Bacteria | |
| dc.subject.mesh | Genome, Bacterial | |
| dc.subject.mesh | Computational Biology | |
| dc.subject.mesh | Evolution, Molecular | |
| dc.subject.mesh | Bacteria | |
| dc.subject.mesh | Fungi | |
| dc.subject.mesh | Sequence Alignment | |
| dc.subject.mesh | Computational Biology | |
| dc.subject.mesh | Genomics | |
| dc.subject.mesh | Evolution, Molecular | |
| dc.subject.mesh | Phylogeny | |
| dc.subject.mesh | Genome, Bacterial | |
| dc.subject.mesh | Genome, Fungal | |
| dc.subject.mesh | Software | |
| dc.subject.mesh | Phylogeny | |
| dc.subject.mesh | Genome, Fungal | |
| dc.subject.mesh | Software | |
| dc.subject.mesh | Fungi | |
| dc.subject.mesh | Genomics | |
| dc.subject.mesh | Sequence Alignment | |
| dc.subject.mesh | Bacteria | |
| dc.subject.mesh | Genome, Bacterial | |
| dc.subject.mesh | Computational Biology | |
| dc.subject.mesh | Evolution, Molecular | |
| dc.title | Buscogeny: A BUSCO leveraged phylogenomic tree builder. | |
| dc.type | Journal Article | |
| utslib.citation.volume | 29 | |
| utslib.location.activity | Switzerland | |
| utslib.for | 0605 Microbiology | |
| utslib.for | 1108 Medical Microbiology | |
| pubs.organisational-group | University of Technology Sydney | |
| pubs.organisational-group | University of Technology Sydney/Faculty of Science | |
| utslib.copyright.status | open_access | * |
| dc.rights.license | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | |
| dc.date.updated | 2026-10-09T07:17:06Z | |
| pubs.issue | 2 | |
| pubs.publication-status | Published | |
| pubs.volume | 29 | |
| utslib.citation.issue | 2 |
Abstract:
Accurately resolving evolutionary relationships among organisms is a cornerstone of evolutionary biology, with phylogenetic trees serving as critical tools for this purpose. While single-gene phylogenies are widely used, they often fail to capture the full complexity of evolutionary processes, particularly in organisms with complex or variable genomes. Concatenated gene alignments, built from multiple orthologous genes, offer a more robust framework but are challenging to generate, especially in taxa with incomplete or poorly annotated genomes such as fungi. To address this challenge, we present Buscogeny (Busco Phylogeny), an open-source command-line tool that automates the construction of concatenated gene alignments and phylogenetic trees using BUSCO-derived single-copy orthologs. Buscogeny integrates key features including genome quality assessment, ortholog extraction, multiple sequence alignment, gap filtering, and recombination filtering, followed by automated phylogenetic inference. By allowing users to select ortholog datasets of varying resolutions and tailor filtering thresholds, Buscogeny is adaptable to both closely related and more distantly related taxa. We demonstrate the utility of Buscogeny in phylogenetic analyses of both bacterial and fungal genomes, including complex groups such as Alternaria, where annotation and genome completeness vary significantly. The streamlined, reproducible workflow provided by Buscogeny makes BUSCO-based phylogenetic inference accessible to researchers across disciplines, enabling robust evolutionary insights from whole-genome data.
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