{"title":"Genomic analysis of the MLST population structure and antimicrobial resistance genes associated with <i>Salmonella enterica</i> in Mexico.","authors":"Adrián Gómez-Baltazar, Angélica Godínez-Oviedo, Gerardo Vázquez-Marrufo, Ma Soledad Vázquez-Garcidueñas, Montserrat Hernández-Iturriaga","doi":"10.1139/gen-2023-0007","DOIUrl":null,"url":null,"abstract":"<p><p><i>Salmonella enterica</i> is one of the most commonly reported foodborne pathogens by public health agencies worldwide. In this study, the multilocus sequence typing (MLST) population structure and frequency of antimicrobial resistance (AMR) genes were evaluated in <i>S. enterica</i> strains from Mexico (<i>n</i> = 2561). The most common sources of isolation were food (44.28%), environment (27.41%), animal-related (24.83%), and human (3.48%). The most prevalent serovars were Newport (8.51%), Oranienburg (7.03%), Anatum (5.78%), Typhimurium (5.12%), and Infantis (4.57%). As determined by the 7-gene MLST scheme, the most frequent sequence types were ST23, ST64, and ST32. The core genome MLST scheme identified 132 HC2000 and 195 HC900 hierarchical clusters, with the HC2000_2 cluster being the most prevalent in Mexico (<i>n</i> = 256). A total of 78 different AMR genes belonging to 13 antimicrobial classes were detected in 638 genomic assemblies of <i>S. enterica</i>. The most frequent class was aminoglycosides (31.76%), followed by tetracyclines (12.53%) and sulfonamides (11.91%). These results can help public health agencies in Mexico prioritize their efforts and resources to increase the genomic sequencing of circulating <i>Salmonella</i> strains. Additionally, they provide valuable information for local and global public health efforts to reduce the impact of foodborne diseases and AMR.</p>","PeriodicalId":12809,"journal":{"name":"Genome","volume":" ","pages":"319-332"},"PeriodicalIF":2.3000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genome","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1139/gen-2023-0007","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/7/21 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Salmonella enterica is one of the most commonly reported foodborne pathogens by public health agencies worldwide. In this study, the multilocus sequence typing (MLST) population structure and frequency of antimicrobial resistance (AMR) genes were evaluated in S. enterica strains from Mexico (n = 2561). The most common sources of isolation were food (44.28%), environment (27.41%), animal-related (24.83%), and human (3.48%). The most prevalent serovars were Newport (8.51%), Oranienburg (7.03%), Anatum (5.78%), Typhimurium (5.12%), and Infantis (4.57%). As determined by the 7-gene MLST scheme, the most frequent sequence types were ST23, ST64, and ST32. The core genome MLST scheme identified 132 HC2000 and 195 HC900 hierarchical clusters, with the HC2000_2 cluster being the most prevalent in Mexico (n = 256). A total of 78 different AMR genes belonging to 13 antimicrobial classes were detected in 638 genomic assemblies of S. enterica. The most frequent class was aminoglycosides (31.76%), followed by tetracyclines (12.53%) and sulfonamides (11.91%). These results can help public health agencies in Mexico prioritize their efforts and resources to increase the genomic sequencing of circulating Salmonella strains. Additionally, they provide valuable information for local and global public health efforts to reduce the impact of foodborne diseases and AMR.
期刊介绍:
Genome is a monthly journal, established in 1959, that publishes original research articles, reviews, mini-reviews, current opinions, and commentaries. Areas of interest include general genetics and genomics, cytogenetics, molecular and evolutionary genetics, developmental genetics, population genetics, phylogenomics, molecular identification, as well as emerging areas such as ecological, comparative, and functional genomics.