A comparison of methods for extracting DNA from Coxiella burnetii as measured by a duplex qPCR assay

التفاصيل البيبلوغرافية
العنوان: A comparison of methods for extracting DNA from Coxiella burnetii as measured by a duplex qPCR assay
المؤلفون: Stanley G. Fenwick, Michael Banazis, John Stenos, Michelle G. Lockhart, Stephen Graves
المصدر: Letters in Applied Microbiology. 52:514-520
بيانات النشر: Oxford University Press (OUP), 2011.
سنة النشر: 2011
مصطلحات موضوعية: Chloroform, biology, Silica column, Buffy coat, bacterial infections and mycoses, Coxiella burnetii, biology.organism_classification, Applied Microbiology and Biotechnology, DNA extraction, Molecular biology, chemistry.chemical_compound, chemistry, Duplex (building), bacteria, Extraction methods, DNA
الوصف: To determine the optimal DNA extraction method for the detection of Coxiella burnetii including the small-cell variant (SCV) by real-time PCR (qPCR) in clinical samples. Methods and Results: A duplex qPCR detecting two Coxiella burnetii gene targets (com1 and IS1111a genes) was developed. Each target in this PCR had a sensitivity of one copy number per reaction. DNA extraction methods were compared on spiked negative samples and included a silica column kit, a chloroform separation prior to a silica column method and a chloroform/phenol separation and DNA precipitation method. Conclusions: The silica column extraction method was more efficient at recovering C. burnetii DNA, from large-cell and small-cell variants, than a chloroform or chloroform/phenol method. The silica column method was useful on spiked human samples including serum, buffy coat and bone marrow samples. Significance and impact of study: This study demonstrated that a simple column kit method is efficient to use for the detection of C. burnetii in clinical samples including the SCV.
تدمد: 0266-8254
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::87ad34a1b4cd74dfe47f4f26b3cc02a2Test
https://doi.org/10.1111/j.1472-765x.2011.03034.xTest
حقوق: OPEN
رقم الانضمام: edsair.doi...........87ad34a1b4cd74dfe47f4f26b3cc02a2
قاعدة البيانات: OpenAIRE