The evolution of plasmid-carried antibiotic resistance

Svara, Fabian; Rankin, Daniel J.

doi:10.1186/1471-2148-11-130

Cited by 109 publications

(124 citation statements)

References 54 publications

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“…The presence of multiple plasmids may support the high resistance profile against a range of antibiotic as plasmid borne resistance is common in many microbes. It is well reported that antibiotic resistance is often plasmid borne (Svara and Rankin, 2011). Our results get support from Aslim and Beyatli (2004) who reported higher antibiotic resistance in the isolates carrying multiple plasmids.…”

Section: Discussionsupporting

confidence: 90%

Antibiotic resistance and plasmid profile of Leuconostoc spp. isolated from carrot

Mohit¹,

Garg²,

Negi³

2014

J. Bacteriol. Res.

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In the present study, a total of 56 isolates were isolated from different root vegetables. Out of these, 17 isolates were identified as Leuconostoc spp. All the 17 isolates were checked for antibiotic sensitivity against different antibiotics. Results revealed that majority of the isolates were resistant to Penicillin G, Vancomycin, Oxacillin and Ceftazidime. Four isolates (S-9, S-13, S-37 and S-42) were resistant to methicillin. However, all the isolates were highly sensitive to Imipenum. Carbenicillin and Amoxicillin sublactam showed antibacterial sensitivity against all the isolates except S-13 and S-B 2 C 2, respectively. Electrophorogram revealed that among the different 17 Leuconostoc isolates, S-B 2 C 2 showed the presence of multiple plasmids (six) corresponding to the molecular weights of 1.5, 1.9, 2.0, 2.6, 3.2 and 10 kb, respectively. Endonuclease restriction analysis study was carried out with purified plasmid using four endonucleases (Alu I, Bam HI, Hae III and Hind III). Treatment with Alu I resulted in the disappearance of all the 6 plasmid bands, indicating complete digestion of the plasmids. Restriction analysis of plasmid DNA of isolate S-B 2 C 2 revealed complete digestion of two plasmids (2.6 and 1.5 kb) when treated with Hind III. However, a new band of molecular weight equivalent to 1.7 kb did appear. Data presented in the paper indicates the multiple plasmid availability in bacteria and their diversity in response to restriction sites available on them.

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Section: Discussionsupporting

confidence: 90%

Antibiotic resistance and plasmid profile of Leuconostoc spp. isolated from carrot

Mohit¹,

Garg²,

Negi³

2014

J. Bacteriol. Res.

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“…In keeping with previous studies9141819 a system of coupled ordinary differential equations are used to describe the dynamics of a population of susceptible (S) and resistant (R) bacteria. As asexual reproduction requires energy it is assumed that the growth rate of bacteria is limited and therefore modelled using the standard logistic growth equation.…”

Section: Modelmentioning

confidence: 99%

“…While mutations are undoubtedly a source of resistance, HGT is responsible for increased propagation of resistance through bacterial populations8. If bacteria acquire resistant genes in an environment where they are beneficial, HGT will facilitate the spread of these genes within the population9. Sub-Minimum Inhibitory Concentrations (MIC) of antibiotics and the persistence of high levels of antibiotics within the environment have been linked to the emergence of resistant genes1011.…”

mentioning

confidence: 99%

Optimising Antibiotic Usage to Treat Bacterial Infections

Paterson

Hoyle

Ochoa

et al. 2016

Sci Rep

104

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The increase in antibiotic resistant bacteria poses a threat to the continued use of antibiotics to treat bacterial infections. The overuse and misuse of antibiotics has been identified as a significant driver in the emergence of resistance. Finding optimal treatment regimens is therefore critical in ensuring the prolonged effectiveness of these antibiotics. This study uses mathematical modelling to analyse the effect traditional treatment regimens have on the dynamics of a bacterial infection. Using a novel approach, a genetic algorithm, the study then identifies improved treatment regimens. Using a single antibiotic the genetic algorithm identifies regimens which minimise the amount of antibiotic used while maximising bacterial eradication. Although exact treatments are highly dependent on parameter values and initial bacterial load, a significant common trend is identified throughout the results. A treatment regimen consisting of a high initial dose followed by an extended tapering of doses is found to optimise the use of antibiotics. This consistently improves the success of eradicating infections, uses less antibiotic than traditional regimens and reduces the time to eradication. The use of genetic algorithms to optimise treatment regimens enables an extensive search of possible regimens, with previous regimens directing the search into regions of better performance.

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“…It manifests the increase of infection or the prolonged clinical symptomatology, increase in hospital stay, and not less important, the rise of costs to the health system (Coculescu, 2009; Edgar et al , 2009; Högberg et al , 2010; Huttner et al , 2010; Kurek et al , 2011; Savara and Rankin, 2011; Wilke, 2010). …”

Section: Antibiotic Resistance: Social Economical and Biological Aspmentioning

confidence: 99%

An overview of antimicrobial resistance and its public health significance

Balsalobre

Dropa

Matté

2014

Braz. J. Microbiol.

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Multiple papers have been published regarding the bacterial resistance theme over the last years. A variety of information has reached general and scientific public, daily bringing up data on new resistant microorganisms, new drugs, outbreaks, epidemiological news, resistance gene dissemination, and the lack of information in a particular field has caught our attention: the public health department. Most of researchers, physicians and government employees interpret the public health field as a separate department, not linked to this antibiotic resistance era that we are living nowadays. In this paper we carefully tried to fill in the blanks between public health and the bacteria resistance issue, also considering historical, social, economical and biological problematic that come with this possible pre-antibiotic era.

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The evolution of plasmid-carried antibiotic resistance

Cited by 109 publications

References 54 publications

Antibiotic resistance and plasmid profile of Leuconostoc spp. isolated from carrot

Antibiotic resistance and plasmid profile of Leuconostoc spp. isolated from carrot

Optimising Antibiotic Usage to Treat Bacterial Infections

An overview of antimicrobial resistance and its public health significance

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