Liam Cheney, Michael Payne, Sandeep Kaur, Ruiting Lan
{"title":"SaLTy:一种新型金黄色葡萄球菌系谱分型器。","authors":"Liam Cheney, Michael Payne, Sandeep Kaur, Ruiting Lan","doi":"10.1099/mgen.0.001250","DOIUrl":null,"url":null,"abstract":"<p><p><i>Staphylococcus aureus</i> asymptomatically colonises 30 % of humans but can also cause a range of diseases, which can be fatal. In 2017 <i>S</i>. <i>aureus</i> was associated with 20 000 deaths in the USA alone. Dividing <i>S. aureus</i> isolates into smaller sub-groups can reveal the emergence of distinct sub-populations with varying potential to cause infections. Despite multiple molecular typing methods categorising such sub-groups, they do not take full advantage of <i>S. aureus</i> genome sequences when describing the fundamental population structure of the species. In this study, we developed <i>Staphylococcus aureus</i> Lineage Typing (SaLTy), which rapidly divides the species into 61 phylogenetically congruent lineages. Alleles of three core genes were identified that uniquely define the 61 lineages and were used for SaLTy typing. SaLTy was validated on 5000 genomes and 99.12 % (4956/5000) of isolates were assigned the correct lineage. We compared SaLTy lineages to previously calculated clonal complexes (CCs) from BIGSdb (<i>n</i>=21 173). SALTy improves on CCs by grouping isolates congruently with phylogenetic structure. SaLTy lineages were further used to describe the carriage of Staphylococcal chromosomal cassette containing <i>mecA</i> (SCC<i>mec</i>) which is carried by methicillin-resistant <i>S. aureus</i> (MRSA). Most lineages had isolates lacking SCC<i>mec</i> and the four largest lineages varied in SCC<i>mec</i> over time. Classifying isolates into SaLTy lineages, which were further SCC<i>mec</i> typed, allowed SaLTy to describe high-level MRSA epidemiology. We provide SaLTy as a simple typing method that defines phylogenetic lineages (https://github.com/LanLab/SaLTy). SaLTy is highly accurate and can quickly analyse large amounts of <i>S. aureus</i> genome data. SaLTy will aid the characterisation of <i>S. aureus</i> populations and ongoing surveillance of sub-groups that threaten human health.</p>","PeriodicalId":18487,"journal":{"name":"Microbial Genomics","volume":"10 5","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11165655/pdf/","citationCount":"0","resultStr":"{\"title\":\"SaLTy: a novel <i>Staphylococcus aureus</i> Lineage Typer.\",\"authors\":\"Liam Cheney, Michael Payne, Sandeep Kaur, Ruiting Lan\",\"doi\":\"10.1099/mgen.0.001250\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><i>Staphylococcus aureus</i> asymptomatically colonises 30 % of humans but can also cause a range of diseases, which can be fatal. In 2017 <i>S</i>. <i>aureus</i> was associated with 20 000 deaths in the USA alone. Dividing <i>S. aureus</i> isolates into smaller sub-groups can reveal the emergence of distinct sub-populations with varying potential to cause infections. Despite multiple molecular typing methods categorising such sub-groups, they do not take full advantage of <i>S. aureus</i> genome sequences when describing the fundamental population structure of the species. In this study, we developed <i>Staphylococcus aureus</i> Lineage Typing (SaLTy), which rapidly divides the species into 61 phylogenetically congruent lineages. Alleles of three core genes were identified that uniquely define the 61 lineages and were used for SaLTy typing. SaLTy was validated on 5000 genomes and 99.12 % (4956/5000) of isolates were assigned the correct lineage. We compared SaLTy lineages to previously calculated clonal complexes (CCs) from BIGSdb (<i>n</i>=21 173). SALTy improves on CCs by grouping isolates congruently with phylogenetic structure. SaLTy lineages were further used to describe the carriage of Staphylococcal chromosomal cassette containing <i>mecA</i> (SCC<i>mec</i>) which is carried by methicillin-resistant <i>S. aureus</i> (MRSA). Most lineages had isolates lacking SCC<i>mec</i> and the four largest lineages varied in SCC<i>mec</i> over time. Classifying isolates into SaLTy lineages, which were further SCC<i>mec</i> typed, allowed SaLTy to describe high-level MRSA epidemiology. We provide SaLTy as a simple typing method that defines phylogenetic lineages (https://github.com/LanLab/SaLTy). SaLTy is highly accurate and can quickly analyse large amounts of <i>S. aureus</i> genome data. SaLTy will aid the characterisation of <i>S. aureus</i> populations and ongoing surveillance of sub-groups that threaten human health.</p>\",\"PeriodicalId\":18487,\"journal\":{\"name\":\"Microbial Genomics\",\"volume\":\"10 5\",\"pages\":\"\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11165655/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microbial Genomics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1099/mgen.0.001250\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microbial Genomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1099/mgen.0.001250","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
SaLTy: a novel Staphylococcus aureus Lineage Typer.
Staphylococcus aureus asymptomatically colonises 30 % of humans but can also cause a range of diseases, which can be fatal. In 2017 S. aureus was associated with 20 000 deaths in the USA alone. Dividing S. aureus isolates into smaller sub-groups can reveal the emergence of distinct sub-populations with varying potential to cause infections. Despite multiple molecular typing methods categorising such sub-groups, they do not take full advantage of S. aureus genome sequences when describing the fundamental population structure of the species. In this study, we developed Staphylococcus aureus Lineage Typing (SaLTy), which rapidly divides the species into 61 phylogenetically congruent lineages. Alleles of three core genes were identified that uniquely define the 61 lineages and were used for SaLTy typing. SaLTy was validated on 5000 genomes and 99.12 % (4956/5000) of isolates were assigned the correct lineage. We compared SaLTy lineages to previously calculated clonal complexes (CCs) from BIGSdb (n=21 173). SALTy improves on CCs by grouping isolates congruently with phylogenetic structure. SaLTy lineages were further used to describe the carriage of Staphylococcal chromosomal cassette containing mecA (SCCmec) which is carried by methicillin-resistant S. aureus (MRSA). Most lineages had isolates lacking SCCmec and the four largest lineages varied in SCCmec over time. Classifying isolates into SaLTy lineages, which were further SCCmec typed, allowed SaLTy to describe high-level MRSA epidemiology. We provide SaLTy as a simple typing method that defines phylogenetic lineages (https://github.com/LanLab/SaLTy). SaLTy is highly accurate and can quickly analyse large amounts of S. aureus genome data. SaLTy will aid the characterisation of S. aureus populations and ongoing surveillance of sub-groups that threaten human health.
期刊介绍:
Microbial Genomics (MGen) is a fully open access, mandatory open data and peer-reviewed journal publishing high-profile original research on archaea, bacteria, microbial eukaryotes and viruses.