How fitness reduced, antimicrobial resistant bacteria survive and spread: a multiple pig - multiple bacterial strain model

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Standard

How fitness reduced, antimicrobial resistant bacteria survive and spread : a multiple pig - multiple bacterial strain model. / Græsbøll, Kaare; Nielsen, Søren Saxmose; Toft, Nils; Christiansen, Lasse Engbo.

I: PLOS ONE, Bind 9, Nr. 7, e100458, 2014.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Græsbøll, K, Nielsen, SS, Toft, N & Christiansen, LE 2014, 'How fitness reduced, antimicrobial resistant bacteria survive and spread: a multiple pig - multiple bacterial strain model', PLOS ONE, bind 9, nr. 7, e100458. https://doi.org/10.1371/journal.pone.0100458

APA

Græsbøll, K., Nielsen, S. S., Toft, N., & Christiansen, L. E. (2014). How fitness reduced, antimicrobial resistant bacteria survive and spread: a multiple pig - multiple bacterial strain model. PLOS ONE, 9(7), [e100458]. https://doi.org/10.1371/journal.pone.0100458

Vancouver

Græsbøll K, Nielsen SS, Toft N, Christiansen LE. How fitness reduced, antimicrobial resistant bacteria survive and spread: a multiple pig - multiple bacterial strain model. PLOS ONE. 2014;9(7). e100458. https://doi.org/10.1371/journal.pone.0100458

Author

Græsbøll, Kaare ; Nielsen, Søren Saxmose ; Toft, Nils ; Christiansen, Lasse Engbo. / How fitness reduced, antimicrobial resistant bacteria survive and spread : a multiple pig - multiple bacterial strain model. I: PLOS ONE. 2014 ; Bind 9, Nr. 7.

Bibtex

@article{898d3d2cdf8e4a08b96e578ce1d42527,
title = "How fitness reduced, antimicrobial resistant bacteria survive and spread: a multiple pig - multiple bacterial strain model",
abstract = "More than 30% of E. coli strains sampled from pig farms in Denmark over the last five years were resistant to the commonly used antimicrobial tetracycline. This raises a number of questions: How is this high level sustained if resistant bacteria have reduced growth rates? Given that there are multiple susceptible and resistant bacterial strains in the pig intestines, how can we describe their coexistence? To what extent does the composition of these multiple strains in individual pigs influence the total bacterial population of the pig pen? What happens to a complex population when antimicrobials are used? To investigate these questions, we created a model where multiple strains of bacteria coexist in the intestines of pigs sharing a pen, and explored the parameter limits of a stable system; both with and without an antimicrobial treatment. The approach taken is a deterministic bacterial population model with stochastic elements of bacterial distributions and transmission. The rates that govern the model are process-oriented to represent growth, excretion, and uptake from environment, independent of herd and meta-population structures. Furthermore, an entry barrier and elimination process for the individual strains in each pig were implemented. We demonstrate how competitive growth between multiple bacterial strains in individual pigs, and the transmission between pigs in a pen allow for strains of antimicrobial resistant bacteria to persist in a pig population to different extents, and how quickly they can become dominant if antimicrobial treatment is initiated. The level of spread depends in a non-linear way of the parameters that govern excretion and uptake. Furthermore, the sampling of initial distributions of strains and stochastic transmission events give rise to large variation in how homogenous and how resistant the bacterial population becomes. Most important: resistant bacteria are demonstrated to survive with a disadvantage in growth rate of well over 10%.",
author = "Kaare Gr{\ae}sb{\o}ll and Nielsen, {S{\o}ren Saxmose} and Nils Toft and Christiansen, {Lasse Engbo}",
year = "2014",
doi = "10.1371/journal.pone.0100458",
language = "English",
volume = "9",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "7",

}

RIS

TY - JOUR

T1 - How fitness reduced, antimicrobial resistant bacteria survive and spread

T2 - a multiple pig - multiple bacterial strain model

AU - Græsbøll, Kaare

AU - Nielsen, Søren Saxmose

AU - Toft, Nils

AU - Christiansen, Lasse Engbo

PY - 2014

Y1 - 2014

N2 - More than 30% of E. coli strains sampled from pig farms in Denmark over the last five years were resistant to the commonly used antimicrobial tetracycline. This raises a number of questions: How is this high level sustained if resistant bacteria have reduced growth rates? Given that there are multiple susceptible and resistant bacterial strains in the pig intestines, how can we describe their coexistence? To what extent does the composition of these multiple strains in individual pigs influence the total bacterial population of the pig pen? What happens to a complex population when antimicrobials are used? To investigate these questions, we created a model where multiple strains of bacteria coexist in the intestines of pigs sharing a pen, and explored the parameter limits of a stable system; both with and without an antimicrobial treatment. The approach taken is a deterministic bacterial population model with stochastic elements of bacterial distributions and transmission. The rates that govern the model are process-oriented to represent growth, excretion, and uptake from environment, independent of herd and meta-population structures. Furthermore, an entry barrier and elimination process for the individual strains in each pig were implemented. We demonstrate how competitive growth between multiple bacterial strains in individual pigs, and the transmission between pigs in a pen allow for strains of antimicrobial resistant bacteria to persist in a pig population to different extents, and how quickly they can become dominant if antimicrobial treatment is initiated. The level of spread depends in a non-linear way of the parameters that govern excretion and uptake. Furthermore, the sampling of initial distributions of strains and stochastic transmission events give rise to large variation in how homogenous and how resistant the bacterial population becomes. Most important: resistant bacteria are demonstrated to survive with a disadvantage in growth rate of well over 10%.

AB - More than 30% of E. coli strains sampled from pig farms in Denmark over the last five years were resistant to the commonly used antimicrobial tetracycline. This raises a number of questions: How is this high level sustained if resistant bacteria have reduced growth rates? Given that there are multiple susceptible and resistant bacterial strains in the pig intestines, how can we describe their coexistence? To what extent does the composition of these multiple strains in individual pigs influence the total bacterial population of the pig pen? What happens to a complex population when antimicrobials are used? To investigate these questions, we created a model where multiple strains of bacteria coexist in the intestines of pigs sharing a pen, and explored the parameter limits of a stable system; both with and without an antimicrobial treatment. The approach taken is a deterministic bacterial population model with stochastic elements of bacterial distributions and transmission. The rates that govern the model are process-oriented to represent growth, excretion, and uptake from environment, independent of herd and meta-population structures. Furthermore, an entry barrier and elimination process for the individual strains in each pig were implemented. We demonstrate how competitive growth between multiple bacterial strains in individual pigs, and the transmission between pigs in a pen allow for strains of antimicrobial resistant bacteria to persist in a pig population to different extents, and how quickly they can become dominant if antimicrobial treatment is initiated. The level of spread depends in a non-linear way of the parameters that govern excretion and uptake. Furthermore, the sampling of initial distributions of strains and stochastic transmission events give rise to large variation in how homogenous and how resistant the bacterial population becomes. Most important: resistant bacteria are demonstrated to survive with a disadvantage in growth rate of well over 10%.

U2 - 10.1371/journal.pone.0100458

DO - 10.1371/journal.pone.0100458

M3 - Journal article

C2 - 25006965

VL - 9

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 7

M1 - e100458

ER -

ID: 118934044