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Antibiotic-resistant enterococci fingerprint library establishment and accuracy of studies

Author: ChengLiang
Tutor: WangYaoBing
School: Dalian Maritime University
Course: Marine Chemistry
Keywords: Faecal contamination Enterococcus Antibiotic Resistance Analysis Fingerprint Database
CLC: Q936
Type: Master's thesis
Year: 2010
Downloads: 52
Quote: 1
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Abstract


Antibiotic resistance analysis (Antibiotic Resistance Analysis, ARA) as a cost-effective tool for fecal pollution tracer, has been carried out in Europe and other countries and has been applied. Based on the research method of tracing factor enterococci with ARA feasibility, based on the detected from humans, dogs, chickens, cattle, pigs five species source stool 500 enterococci antibiotic resistance, and its application discriminant analysis France to build a fingerprint database of antibiotic resistance, obtained the accuracy of fingerprint databases and discuss their impact factors. Aims to build rational and effective antibiotic resistant fingerprint database to facilitate the use of ARA method of fecal source identification technology application. Main results are as follows: (1) sources of different species of enterococci and fecal enterococci standard strain in a simulated natural water environment, survival decays with time, the number of days survival of 18 to 20 days, but the sources of different species Enterococcus with standard strains of enterococci slight difference between the survival of law; antibiotic resistance in enterococci has not changed, and its original antibiotic resistance consistent. Therefore chosen as the ARA enterococci tracer factor. (2) on the 500 enterococci resistant rates of antibiotic resistance characteristics and multiple drug resistance analysis showed that five species of antibiotic resistance between the source has significant difference can be used for antibiotic resistance Fingerprint Database build; sources for five species overlap with the resistant phenotype Statistical analysis revealed that human phenotypic overlap with several other species are more likely to lead to human fingerprint database source relative to other species, the accuracy of the source is low. (3) application of discriminant analysis to build antibiotic resistance fingerprint database, in any kind of discrimination mode stability, in the Golden State vs Xinghai Bay, human vs nonhuman source identification mode to get the highest accuracy, respectively, 71.0% and 69.0%, derived from a combination of the database application verification optimal discriminant model human source vs nonhuman sources. (4) randomly selected sample size ≥ 80% accuracy when the fingerprint databases are basically the same, ARCC at between 57.8% ~ 58.2%, the sample volume is not affecting the fingerprint library main factors; work process can be in the future consider increasing the types of antibiotics, and remove vancomycin, chloramphenicol and fosfomycin antibiotic resistance may improve the accuracy of fingerprint databases.

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CLC: > Biological Sciences > Microbiology > Microbial biochemistry
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