{"title":"ORPA: a fast and efficient phylogenetic analysis method for constructing genome-wide alignments of organelle genomes.","authors":"Guiqi Bi, Xinxin Luan, Jianbin Yan","doi":"10.1016/j.jgg.2023.08.006","DOIUrl":null,"url":null,"abstract":"<p><p>Creating a multi-gene alignment matrix for phylogenetic analysis using organelle genomes involves aligning single-gene datasets manually, a process that can be time-consuming and prone to errors. The HomBlocks pipeline has been created to eliminate the inaccuracies arising from manual operations. The processing of a large number of sequences, however, remains a time-consuming task. To conquer this challenge, we develop a speedy and efficient method called Organelle Genomes for Phylogenetic Analysis (ORPA). ORPA can quickly generate multiple sequence alignments for whole-genome comparisons by parsing the result files of NCBI BLAST, completing the task just in 1 min. With increasing data volume, the efficiency of ORPA is even more pronounced, over 300 times faster than HomBlocks in aligning 60 high-plant chloroplast genomes. The phylogenetic tree outputs from ORPA are equivalent to HomBlocks, indicating its outstanding efficiency. Due to its speed and accuracy, ORPA can identify species-level evolutionary conflicts, providing valuable insights into evolutionary cognition.</p>","PeriodicalId":15985,"journal":{"name":"Journal of genetics and genomics = Yi chuan xue bao","volume":" ","pages":"352-358"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of genetics and genomics = Yi chuan xue bao","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.jgg.2023.08.006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/25 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Creating a multi-gene alignment matrix for phylogenetic analysis using organelle genomes involves aligning single-gene datasets manually, a process that can be time-consuming and prone to errors. The HomBlocks pipeline has been created to eliminate the inaccuracies arising from manual operations. The processing of a large number of sequences, however, remains a time-consuming task. To conquer this challenge, we develop a speedy and efficient method called Organelle Genomes for Phylogenetic Analysis (ORPA). ORPA can quickly generate multiple sequence alignments for whole-genome comparisons by parsing the result files of NCBI BLAST, completing the task just in 1 min. With increasing data volume, the efficiency of ORPA is even more pronounced, over 300 times faster than HomBlocks in aligning 60 high-plant chloroplast genomes. The phylogenetic tree outputs from ORPA are equivalent to HomBlocks, indicating its outstanding efficiency. Due to its speed and accuracy, ORPA can identify species-level evolutionary conflicts, providing valuable insights into evolutionary cognition.