Strong Environment-Genotype Interactions Determine the Fitness Costs of Antibiotic Resistance In Vitro and in an Insect Model of Infection
Strong Environment-Genotype Interactions Determine the Fitness Costs of Antibiotic Resistance In Vitro and in an Insect Model of Infection
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强烈的环境-基因型相互作用决定了体外和昆虫感染模型中抗生素耐药性的适应成本
DOI:
10.1128/aac.01033-20
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发表时间:
2020
影响因子:
4.9
通讯作者:
Manktelow C
中科院分区:
文献类型:
--
作者:
Manktelow C
The acquisition of antibiotic resistance commonly imposes fitness costs, a reduction in the fitness of bacteria in the absence of drugs. These costs have been quantified primarily usingin vitroexperiments and a small number ofin vivostudies in mice, and it is commonly assumed that these diverse methods are consistent. Here, we used an insect model of infection to compare the fitness costs of antibiotic resistancein vivoto thosein vitro. Experiments explored diverse mechanisms of resistance in a Gram-positive pathogen, Bacillus thuringiensis, and a Gram-negative intestinal symbiont, Enterobacter cloacae. Rifampin resistance in B. thuringiensis showed fitness costs that were typically elevatedin vivo,although these were modulated by genotype-environment interactions. In contrast, resistance to cefotaxime via derepression of AmpC β-lactamase in E. cloacae resulted in no detectable costsin vivoorin vitro, while spontaneous resistance to nalidixic acid, and carriage of the IncP plasmid RP4, imposed costs that increasedin vivo. Overall, fitness costsin vitrowere a poor predictor of fitness costsin vivobecause of strong genotype-environment interactions throughout this study. Insect infections provide a cheap and accessible means of assessing the fitness consequences of resistance mutations, data that are important for understanding the evolution and spread of resistance. This study emphasizes that the fitness costs imposed by particular mutations or different modes of resistance are extremely variable and that only a subset of these mutations is likely to be prevalent outside the laboratory.
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DOI:
10.1093/jac/dkv486
发表时间:
2016-05
期刊:
The Journal of antimicrobial chemotherapy
影响因子:
--
作者:
Linkevicius M;Anderssen JM;Sandegren L;Andersson DI
通讯作者:
Andersson DI
影响因子:
5.2
作者:
Deguchi, T;Yasuda, M;Kawada, Y
通讯作者:
Kawada, Y
影响因子:
5.2
作者:
Nielsen, Karen L.;Pedersen, Thomas M.;Frimodt-Moller, Niels
通讯作者:
Frimodt-Moller, Niels
影响因子:
15.8
作者:
Whittles LK;White PJ;Didelot X
通讯作者:
Didelot X
DOI:
10.1101/493718
发表时间:
2018
期刊:
bioRxiv
影响因子:
--
作者:
L. Mikonranta;A. Buckling;M. Jalasvuori;B. Raymond
通讯作者:
B. Raymond