{"title":"FungANI是一个基于blast的程序,用于分析两个真菌基因组之间的平均核苷酸同源性(ANI),使真菌物种划分变得容易。","authors":"Christophe Lalanne , Philippe Silar","doi":"10.1016/j.fgb.2025.103969","DOIUrl":null,"url":null,"abstract":"<div><div>Fungal species delimitation and phylogeny will likely rely in the future upon whole genome sequence comparison, as the costs of such sequences are rapidly decreasing. <u>A</u>verage <u>N</u>ucleotide <u>I</u>dentity (ANI) between genomes is a convenient metric that can be rapidly calculated for species delimitation. However, there is presently no easy-to-use program calculating the ANI between two fungal genomes and providing easy-to interpret results that can be help mycologists having limited access to bioinformatic facilities. Here, we present FungANI, a customizable BLAST-based program that calculate ANI between genomes. The program primarily targets Linux workstations or servers but it can be run on the latest Windows, macOS and Linux 64-Bit operating systems as a standalone desktop application. It was tested with various publicly-available genomes from species belonging to the <em>Sordariales</em> order. It proved efficient to differentiate closely related species and retrace their possible phylogenetic relationships. However, FungANI did not perform well for phylogenetic reconstruction on a broader evolutionary scale such as inferring relationships between distant genera. The program is freely available at <span><span>https://github.com/podo-gec/fungani</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":55135,"journal":{"name":"Fungal Genetics and Biology","volume":"177 ","pages":"Article 103969"},"PeriodicalIF":2.3000,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FungANI, a BLAST-based program for analyzing average nucleotide identity (ANI) between two fungal genomes, enables easy fungal species delimitation\",\"authors\":\"Christophe Lalanne , Philippe Silar\",\"doi\":\"10.1016/j.fgb.2025.103969\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Fungal species delimitation and phylogeny will likely rely in the future upon whole genome sequence comparison, as the costs of such sequences are rapidly decreasing. <u>A</u>verage <u>N</u>ucleotide <u>I</u>dentity (ANI) between genomes is a convenient metric that can be rapidly calculated for species delimitation. However, there is presently no easy-to-use program calculating the ANI between two fungal genomes and providing easy-to interpret results that can be help mycologists having limited access to bioinformatic facilities. Here, we present FungANI, a customizable BLAST-based program that calculate ANI between genomes. The program primarily targets Linux workstations or servers but it can be run on the latest Windows, macOS and Linux 64-Bit operating systems as a standalone desktop application. It was tested with various publicly-available genomes from species belonging to the <em>Sordariales</em> order. It proved efficient to differentiate closely related species and retrace their possible phylogenetic relationships. However, FungANI did not perform well for phylogenetic reconstruction on a broader evolutionary scale such as inferring relationships between distant genera. The program is freely available at <span><span>https://github.com/podo-gec/fungani</span><svg><path></path></svg></span>.</div></div>\",\"PeriodicalId\":55135,\"journal\":{\"name\":\"Fungal Genetics and Biology\",\"volume\":\"177 \",\"pages\":\"Article 103969\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fungal Genetics and Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1087184525000106\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fungal Genetics and Biology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1087184525000106","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
FungANI, a BLAST-based program for analyzing average nucleotide identity (ANI) between two fungal genomes, enables easy fungal species delimitation
Fungal species delimitation and phylogeny will likely rely in the future upon whole genome sequence comparison, as the costs of such sequences are rapidly decreasing. Average Nucleotide Identity (ANI) between genomes is a convenient metric that can be rapidly calculated for species delimitation. However, there is presently no easy-to-use program calculating the ANI between two fungal genomes and providing easy-to interpret results that can be help mycologists having limited access to bioinformatic facilities. Here, we present FungANI, a customizable BLAST-based program that calculate ANI between genomes. The program primarily targets Linux workstations or servers but it can be run on the latest Windows, macOS and Linux 64-Bit operating systems as a standalone desktop application. It was tested with various publicly-available genomes from species belonging to the Sordariales order. It proved efficient to differentiate closely related species and retrace their possible phylogenetic relationships. However, FungANI did not perform well for phylogenetic reconstruction on a broader evolutionary scale such as inferring relationships between distant genera. The program is freely available at https://github.com/podo-gec/fungani.
期刊介绍:
Fungal Genetics and Biology, formerly known as Experimental Mycology, publishes experimental investigations of fungi and their traditional allies that relate structure and function to growth, reproduction, morphogenesis, and differentiation. This journal especially welcomes studies of gene organization and expression and of developmental processes at the cellular, subcellular, and molecular levels. The journal also includes suitable experimental inquiries into fungal cytology, biochemistry, physiology, genetics, and phylogeny.
Fungal Genetics and Biology publishes basic research conducted by mycologists, cell biologists, biochemists, geneticists, and molecular biologists.
Research Areas include:
• Biochemistry
• Cytology
• Developmental biology
• Evolutionary biology
• Genetics
• Molecular biology
• Phylogeny
• Physiology.