{"title":"getphylo: rapid and automatic generation of multi-locus phylogenetic trees.","authors":"T J Booth, S Shaw, P Cruz-Morales, T Weber","doi":"10.1186/s12859-025-06035-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The increasing amount of genomic data calls for tools that can create genome-scale phylogenies quickly and efficiently. Existing tools rely on large reference databases or require lengthy de novo calculations to identify orthologues, meaning that they have long run times and are limited in their taxonomic scope. To address this, we created getphylo, a python tool for the rapid generation of phylogenetic trees de novo from annotated sequences.</p><p><strong>Results: </strong>We present getphylo (Genbank to Phylogeny), a tool that automatically builds phylogenetic trees from annotated genomes alone. Orthologues are identified heuristically by searching for singletons (single copy genes) across all input genomes and the phylogeny is inferred from a concatenated alignment of all coding sequences by maximum likelihood. We performed a thorough benchmarking of getphylo against two existing tools, autoMLST and GTDB-tk, to show that it can produce trees of comparable quality in a fraction of the time. We also demonstrate the flexibility of getphylo across four case studies including bacterial and eukaryotic genomes, and biosynthetic gene clusters.</p><p><strong>Conclusions: </strong>getphylo is a quick and reliable tool for the automated generation of genome-scale phylogenetic trees. getphylo can produce phylogenies comparable to other software in a fraction of the time, without the need large local databases or intense computation. getphylo can rapidly identify orthologues from a wide variety of datasets regardless of taxonomic or genomic scope. The usability, speed, flexibility of getphylo makes it a valuable addition to the phylogenetics toolkit.</p>","PeriodicalId":8958,"journal":{"name":"BMC Bioinformatics","volume":"26 1","pages":"21"},"PeriodicalIF":2.9000,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748604/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Bioinformatics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1186/s12859-025-06035-1","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The increasing amount of genomic data calls for tools that can create genome-scale phylogenies quickly and efficiently. Existing tools rely on large reference databases or require lengthy de novo calculations to identify orthologues, meaning that they have long run times and are limited in their taxonomic scope. To address this, we created getphylo, a python tool for the rapid generation of phylogenetic trees de novo from annotated sequences.
Results: We present getphylo (Genbank to Phylogeny), a tool that automatically builds phylogenetic trees from annotated genomes alone. Orthologues are identified heuristically by searching for singletons (single copy genes) across all input genomes and the phylogeny is inferred from a concatenated alignment of all coding sequences by maximum likelihood. We performed a thorough benchmarking of getphylo against two existing tools, autoMLST and GTDB-tk, to show that it can produce trees of comparable quality in a fraction of the time. We also demonstrate the flexibility of getphylo across four case studies including bacterial and eukaryotic genomes, and biosynthetic gene clusters.
Conclusions: getphylo is a quick and reliable tool for the automated generation of genome-scale phylogenetic trees. getphylo can produce phylogenies comparable to other software in a fraction of the time, without the need large local databases or intense computation. getphylo can rapidly identify orthologues from a wide variety of datasets regardless of taxonomic or genomic scope. The usability, speed, flexibility of getphylo makes it a valuable addition to the phylogenetics toolkit.
背景:越来越多的基因组数据需要能够快速有效地创建基因组级系统发育的工具。现有的工具依赖于大型参考数据库,或者需要冗长的从头计算来识别同源物,这意味着它们运行时间长,分类范围有限。为了解决这个问题,我们创建了getphylo,这是一个python工具,用于从注释序列从头快速生成系统发育树。结果:我们提出了getphylo (Genbank to Phylogeny),这是一个自动从注释基因组构建系统发生树的工具。通过在所有输入基因组中搜索单基因(单拷贝基因),启发式地识别同源物,并通过最大似然法从所有编码序列的串联比对中推断出系统发育。我们针对两个现有工具(autoMLST和GTDB-tk)对getphylo进行了全面的基准测试,以表明它可以在很短的时间内生成具有相当质量的树。我们还展示了getphylo在四个案例研究中的灵活性,包括细菌和真核生物基因组,以及生物合成基因簇。结论:getphylo是一种快速、可靠的自动生成基因组级系统发育树的工具。Getphylo可以在很短的时间内生成与其他软件相当的系统发育,而不需要大型本地数据库或密集的计算。Getphylo可以快速识别同源物从各种各样的数据集,无论分类学或基因组范围。getphylo的可用性、速度和灵活性使其成为系统遗传学工具包的一个有价值的补充。
期刊介绍:
BMC Bioinformatics is an open access, peer-reviewed journal that considers articles on all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology.
BMC Bioinformatics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.