The prevalences of Salmonella Genomic Island 1 variants in human and animal Salmonella Typhimurium DT104 are distinguishable using a Bayesian approach

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The prevalences of Salmonella Genomic Island 1 variants in human and animal Salmonella Typhimurium DT104 are distinguishable using a Bayesian approach. / Mather, Alison E; Denwood, Matthew; Haydon, Daniel T; Matthews, Louise; Mellor, Dominic J; Coia, John E; Brown, Derek J; Reid, Stuart W J.

I: PLOS ONE, Bind 6, Nr. 11, 2011, s. e27220.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Mather, AE, Denwood, M, Haydon, DT, Matthews, L, Mellor, DJ, Coia, JE, Brown, DJ & Reid, SWJ 2011, 'The prevalences of Salmonella Genomic Island 1 variants in human and animal Salmonella Typhimurium DT104 are distinguishable using a Bayesian approach', PLOS ONE, bind 6, nr. 11, s. e27220. https://doi.org/10.1371/journal.pone.0027220

APA

Mather, A. E., Denwood, M., Haydon, D. T., Matthews, L., Mellor, D. J., Coia, J. E., Brown, D. J., & Reid, S. W. J. (2011). The prevalences of Salmonella Genomic Island 1 variants in human and animal Salmonella Typhimurium DT104 are distinguishable using a Bayesian approach. PLOS ONE, 6(11), e27220. https://doi.org/10.1371/journal.pone.0027220

Vancouver

Mather AE, Denwood M, Haydon DT, Matthews L, Mellor DJ, Coia JE o.a. The prevalences of Salmonella Genomic Island 1 variants in human and animal Salmonella Typhimurium DT104 are distinguishable using a Bayesian approach. PLOS ONE. 2011;6(11):e27220. https://doi.org/10.1371/journal.pone.0027220

Author

Mather, Alison E ; Denwood, Matthew ; Haydon, Daniel T ; Matthews, Louise ; Mellor, Dominic J ; Coia, John E ; Brown, Derek J ; Reid, Stuart W J. / The prevalences of Salmonella Genomic Island 1 variants in human and animal Salmonella Typhimurium DT104 are distinguishable using a Bayesian approach. I: PLOS ONE. 2011 ; Bind 6, Nr. 11. s. e27220.

Bibtex

@article{4a4b96ea170348fa9f04b197d9128e58,
title = "The prevalences of Salmonella Genomic Island 1 variants in human and animal Salmonella Typhimurium DT104 are distinguishable using a Bayesian approach",
abstract = "Throughout the 1990 s, there was an epidemic of multidrug resistant Salmonella Typhimurium DT104 in both animals and humans in Scotland. The use of antimicrobials in agriculture is often cited as a major source of antimicrobial resistance in pathogenic bacteria of humans, suggesting that DT104 in animals and humans should demonstrate similar prevalences of resistance determinants. Until very recently, only the application of molecular methods would allow such a comparison and our understanding has been hindered by the fact that surveillance data are primarily phenotypic in nature. Here, using large scale surveillance datasets and a novel Bayesian approach, we infer and compare the prevalence of Salmonella Genomic Island 1 (SGI1), SGI1 variants, and resistance determinants independent of SGI1 in animal and human DT104 isolates from such phenotypic data. We demonstrate differences in the prevalences of SGI1, SGI1-B, SGI1-C, absence of SGI1, and tetracycline resistance determinants independent of SGI1 between these human and animal populations, a finding that challenges established tenets that DT104 in domestic animals and humans are from the same well-mixed microbial population.",
keywords = "Animals, Anti-Bacterial Agents, Bayes Theorem, Drug Resistance, Multiple, Bacterial, Gene Frequency, Genetic Variation, Genomic Islands, Humans, Markov Chains, Monte Carlo Method, Salmonella Infections, Salmonella Infections, Animal, Salmonella typhimurium, Species Specificity",
author = "Mather, {Alison E} and Matthew Denwood and Haydon, {Daniel T} and Louise Matthews and Mellor, {Dominic J} and Coia, {John E} and Brown, {Derek J} and Reid, {Stuart W J}",
year = "2011",
doi = "10.1371/journal.pone.0027220",
language = "English",
volume = "6",
pages = "e27220",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "11",

}

RIS

TY - JOUR

T1 - The prevalences of Salmonella Genomic Island 1 variants in human and animal Salmonella Typhimurium DT104 are distinguishable using a Bayesian approach

AU - Mather, Alison E

AU - Denwood, Matthew

AU - Haydon, Daniel T

AU - Matthews, Louise

AU - Mellor, Dominic J

AU - Coia, John E

AU - Brown, Derek J

AU - Reid, Stuart W J

PY - 2011

Y1 - 2011

N2 - Throughout the 1990 s, there was an epidemic of multidrug resistant Salmonella Typhimurium DT104 in both animals and humans in Scotland. The use of antimicrobials in agriculture is often cited as a major source of antimicrobial resistance in pathogenic bacteria of humans, suggesting that DT104 in animals and humans should demonstrate similar prevalences of resistance determinants. Until very recently, only the application of molecular methods would allow such a comparison and our understanding has been hindered by the fact that surveillance data are primarily phenotypic in nature. Here, using large scale surveillance datasets and a novel Bayesian approach, we infer and compare the prevalence of Salmonella Genomic Island 1 (SGI1), SGI1 variants, and resistance determinants independent of SGI1 in animal and human DT104 isolates from such phenotypic data. We demonstrate differences in the prevalences of SGI1, SGI1-B, SGI1-C, absence of SGI1, and tetracycline resistance determinants independent of SGI1 between these human and animal populations, a finding that challenges established tenets that DT104 in domestic animals and humans are from the same well-mixed microbial population.

AB - Throughout the 1990 s, there was an epidemic of multidrug resistant Salmonella Typhimurium DT104 in both animals and humans in Scotland. The use of antimicrobials in agriculture is often cited as a major source of antimicrobial resistance in pathogenic bacteria of humans, suggesting that DT104 in animals and humans should demonstrate similar prevalences of resistance determinants. Until very recently, only the application of molecular methods would allow such a comparison and our understanding has been hindered by the fact that surveillance data are primarily phenotypic in nature. Here, using large scale surveillance datasets and a novel Bayesian approach, we infer and compare the prevalence of Salmonella Genomic Island 1 (SGI1), SGI1 variants, and resistance determinants independent of SGI1 in animal and human DT104 isolates from such phenotypic data. We demonstrate differences in the prevalences of SGI1, SGI1-B, SGI1-C, absence of SGI1, and tetracycline resistance determinants independent of SGI1 between these human and animal populations, a finding that challenges established tenets that DT104 in domestic animals and humans are from the same well-mixed microbial population.

KW - Animals

KW - Anti-Bacterial Agents

KW - Bayes Theorem

KW - Drug Resistance, Multiple, Bacterial

KW - Gene Frequency

KW - Genetic Variation

KW - Genomic Islands

KW - Humans

KW - Markov Chains

KW - Monte Carlo Method

KW - Salmonella Infections

KW - Salmonella Infections, Animal

KW - Salmonella typhimurium

KW - Species Specificity

U2 - 10.1371/journal.pone.0027220

DO - 10.1371/journal.pone.0027220

M3 - Journal article

C2 - 22125606

VL - 6

SP - e27220

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 11

ER -

ID: 137015139