Analysis of 56,348 Genomes Identifies the Relationship between Antibiotic and Metal Resistance and the Spread of Multidrug-Resistant Non-Typhoidal Salmonella
<i>Salmonella enterica</i> is common foodborne pathogen that generates both enteric and systemic infections in hosts. Antibiotic resistance is common is certain serovars of the pathogen and of great concern to public health. Recent reports have documented the co-occurrence of metal resis...
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doaj-434b3b60ac9a45f9bfd5e9b115a1bddc2021-07-23T13:55:21ZengMDPI AGMicroorganisms2076-26072021-07-0191468146810.3390/microorganisms9071468Analysis of 56,348 Genomes Identifies the Relationship between Antibiotic and Metal Resistance and the Spread of Multidrug-Resistant Non-Typhoidal SalmonellaGavin J. Fenske0Joy Scaria1Department of Veterinary and Biomedical Sciences, South Dakota State University, Brookings, SD 57007, USADepartment of Veterinary and Biomedical Sciences, South Dakota State University, Brookings, SD 57007, USA<i>Salmonella enterica</i> is common foodborne pathogen that generates both enteric and systemic infections in hosts. Antibiotic resistance is common is certain serovars of the pathogen and of great concern to public health. Recent reports have documented the co-occurrence of metal resistance with antibiotic resistance in one serovar of <i>S. enterica</i>. Therefore, we sought to identify possible co-occurrence in a large genomic dataset. Genome assemblies of 56,348 strains of <i>S. enterica</i> comprising 20 major serovars were downloaded from NCBI. The downloaded assemblies were quality controlled and in silico serotyped to ensure consistency and avoid improper annotation from public databases. Metal and antibiotic resistance genes were identified in the genomes as well as plasmid replicons. Co-occurrent genes were identified by constructing a co-occurrence matrix and grouping said matrix using k-means clustering. Three groups of co-occurrent genes were identified using k-means clustering. Group 1 was comprised of the <i>pco</i> and <i>sil</i> operons that confer resistance to copper and silver, respectively. Group 1 was distributed across four serovars. Group 2 contained the majority of the genes and little to no co-occurrence was observed. Metal and antibiotic co-occurrence was identified in group 3 that contained genes conferring resistance to: arsenic, mercury, beta-lactams, sulfonamides, and tetracyclines. Group 3 genes were also associated with an IncQ1 class plasmid replicon. Metal and antibiotic co-occurrence from group 3 genes is mostly isolated to one clade of <i>S. enterica</i> I 4,[5],12:i:-.https://www.mdpi.com/2076-2607/9/7/1468antibiotic resistancemetal resistanceco-occurrence<i>Salmonella enterica</i>Genomics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gavin J. Fenske Joy Scaria |
spellingShingle |
Gavin J. Fenske Joy Scaria Analysis of 56,348 Genomes Identifies the Relationship between Antibiotic and Metal Resistance and the Spread of Multidrug-Resistant Non-Typhoidal Salmonella Microorganisms antibiotic resistance metal resistance co-occurrence <i>Salmonella enterica</i> Genomics |
author_facet |
Gavin J. Fenske Joy Scaria |
author_sort |
Gavin J. Fenske |
title |
Analysis of 56,348 Genomes Identifies the Relationship between Antibiotic and Metal Resistance and the Spread of Multidrug-Resistant Non-Typhoidal Salmonella |
title_short |
Analysis of 56,348 Genomes Identifies the Relationship between Antibiotic and Metal Resistance and the Spread of Multidrug-Resistant Non-Typhoidal Salmonella |
title_full |
Analysis of 56,348 Genomes Identifies the Relationship between Antibiotic and Metal Resistance and the Spread of Multidrug-Resistant Non-Typhoidal Salmonella |
title_fullStr |
Analysis of 56,348 Genomes Identifies the Relationship between Antibiotic and Metal Resistance and the Spread of Multidrug-Resistant Non-Typhoidal Salmonella |
title_full_unstemmed |
Analysis of 56,348 Genomes Identifies the Relationship between Antibiotic and Metal Resistance and the Spread of Multidrug-Resistant Non-Typhoidal Salmonella |
title_sort |
analysis of 56,348 genomes identifies the relationship between antibiotic and metal resistance and the spread of multidrug-resistant non-typhoidal salmonella |
publisher |
MDPI AG |
series |
Microorganisms |
issn |
2076-2607 |
publishDate |
2021-07-01 |
description |
<i>Salmonella enterica</i> is common foodborne pathogen that generates both enteric and systemic infections in hosts. Antibiotic resistance is common is certain serovars of the pathogen and of great concern to public health. Recent reports have documented the co-occurrence of metal resistance with antibiotic resistance in one serovar of <i>S. enterica</i>. Therefore, we sought to identify possible co-occurrence in a large genomic dataset. Genome assemblies of 56,348 strains of <i>S. enterica</i> comprising 20 major serovars were downloaded from NCBI. The downloaded assemblies were quality controlled and in silico serotyped to ensure consistency and avoid improper annotation from public databases. Metal and antibiotic resistance genes were identified in the genomes as well as plasmid replicons. Co-occurrent genes were identified by constructing a co-occurrence matrix and grouping said matrix using k-means clustering. Three groups of co-occurrent genes were identified using k-means clustering. Group 1 was comprised of the <i>pco</i> and <i>sil</i> operons that confer resistance to copper and silver, respectively. Group 1 was distributed across four serovars. Group 2 contained the majority of the genes and little to no co-occurrence was observed. Metal and antibiotic co-occurrence was identified in group 3 that contained genes conferring resistance to: arsenic, mercury, beta-lactams, sulfonamides, and tetracyclines. Group 3 genes were also associated with an IncQ1 class plasmid replicon. Metal and antibiotic co-occurrence from group 3 genes is mostly isolated to one clade of <i>S. enterica</i> I 4,[5],12:i:-. |
topic |
antibiotic resistance metal resistance co-occurrence <i>Salmonella enterica</i> Genomics |
url |
https://www.mdpi.com/2076-2607/9/7/1468 |
work_keys_str_mv |
AT gavinjfenske analysisof56348genomesidentifiestherelationshipbetweenantibioticandmetalresistanceandthespreadofmultidrugresistantnontyphoidalsalmonella AT joyscaria analysisof56348genomesidentifiestherelationshipbetweenantibioticandmetalresistanceandthespreadofmultidrugresistantnontyphoidalsalmonella |
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