<scp>CUSCO</scp> : A Tool for Curating Single‐Copy Orthologs and Extracting Marker Genes for Phylogenetic Tree Construction With Extra Samples

ABSTRACT Single‐copy orthologs are often used to reconstruct phylogenetic trees of life. A set of single‐copy orthologs can be prepared by building a new database including the species/strains of interest and performing a homology search, but these steps are time‐consuming when working with a large number of samples. To address this issue, more efficient and practical approaches are needed. Here, we developed a new pipeline called CUSCO, which reconstructs phylogenetic trees from the genome sequences of desired samples, including polyploid genomes or those without annotation using a reference set of protein sequences. As a benchmark, we compared the CUSCO pipeline with OrthoFinder. The CUSCO pipeline reproduced the same tree topologies that were reconstructed using single‐copy orthologs selected by OrthoFinder in a significantly shorter runtime. The pipeline is implemented with a function to identify a minimal set of marker genes that reconstruct a species tree, which is comparable to the one reconstructed from single‐copy orthologs. We also verified that the minimal set of marker genes identified by CUSCO accurately reproduces the tree topology obtained from the whole genome dataset. Sequencing these marker genes enables rapid and cost‐effective inference of the phylogenetic position of newly sampled species. Now that the genomes can be sequenced easily and inexpensively, the speed and accuracy of CUSCO facilitate large‐scale phylogenomic analyses on a desktop computer. Availability and implementation https://github.com/seikot345/CUSCO/ .

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Publication Details

Journal
Ecological Research
Published
2025-10-09
DOI
https://doi.org/10.1111/1440-1703.70015
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

CUSCO : A Tool for Curating Single‐Copy Orthologs and Extracting Marker Genes for Phylogenetic Tree Construction With Extra Samples

Koki Nagasawa, Ken Naito, Takashi Seiko
Ecological Research
Genomics and Phylogenetic Studies
article

CUSCO : A Tool for Curating Single‐Copy Orthologs and Extracting Marker Genes for Phylogenetic Tree Construction With Extra Samples

Koki Nagasawa, Ken Naito, Takashi Seiko
article en

Abstract

ABSTRACT Single‐copy orthologs are often used to reconstruct phylogenetic trees of life. A set of single‐copy orthologs can be prepared by building a new database including the species/strains of interest and performing a homology search, but these steps are time‐consuming when working with a large number of samples. To address this issue, more efficient and practical approaches are needed. Here, we developed a new pipeline called CUSCO, which reconstructs phylogenetic trees from the genome sequences of desired samples, including polyploid genomes or those without annotation using a reference set of protein sequences. As a benchmark, we compared the CUSCO pipeline with OrthoFinder. The CUSCO pipeline reproduced the same tree topologies that were reconstructed using single‐copy orthologs selected by OrthoFinder in a significantly shorter runtime. The pipeline is implemented with a function to identify a minimal set of marker genes that reconstruct a species tree, which is comparable to the one reconstructed from single‐copy orthologs. We also verified that the minimal set of marker genes identified by CUSCO accurately reproduces the tree topology obtained from the whole genome dataset. Sequencing these marker genes enables rapid and cost‐effective inference of the phylogenetic position of newly sampled species. Now that the genomes can be sequenced easily and inexpensively, the speed and accuracy of CUSCO facilitate large‐scale phylogenomic analyses on a desktop computer. Availability and implementation https://github.com/seikot345/CUSCO/ .

Ecological ResearchVol. 40(6)
National Agriculture and Food Research Organization (JP)
National Agriculture and Food Research Organization
Openalex Percentile: Top 75%
Genomics and Phylogenetic Studies
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