A comparison of the efficiency of five different commercial DNA extraction kits for extraction of DNA from faecal samples

Shantelle Claassen, Elloise du Toit, Mamadou Kaba, Clinton Moodley, Heather J. Zar, Mark P. Nicol

Research output: Contribution to journalArticle

66 Citations (Scopus)

Abstract

Differences in the composition of the gut microbiota have been associated with a range of diseases using culture-independent methods. Reliable extraction of nucleic acid is a key step in identifying the composition of the faecal microbiota. Five widely used commercial deoxyribonucleic acid (DNA) extraction kits (QIAsymphony® Virus/Bacteria Midi Kit (kit QS), ZR Fecal DNA MiniPrep™ (kit Z), QIAamp® DNA Stool Mini Kit (kit QA), Ultraclean® Fecal DNA Isolation Kit (kit U) and PowerSoil® DNA Isolation Kit (kit P)) were evaluated, using human faecal samples. Yield, purity and integrity of total genomic DNA were compared spectrophotometrically and using gel electrophoresis. Three bacteria, commonly found in human faeces were quantified using real time polymerase chain reaction (qPCR) and total bacterial diversity was studied using denaturing gradient gel electrophoresis (DGGE) as well as terminal restriction fragment length polymorphism (T-RFLP). The measurements of DNA yield and purity exhibited variations between the five kits tested in this study. Automated kit QS exhibited the best quality and highest quantity of DNA. All kits were shown to be reproducible with CV values. ≤. 0.46 for DNA extraction. qPCR results showed that all kits were uniformly efficient for extracting DNA from the selected target bacteria. DGGE and T-RFLP produced the highest diversity scores for DNA extracted using kit Z (H' = 2.30 and 1.27) and kit QS (H' = 2.16 and 0.94), which also extracted the highest DNA yields compared to the other kits assessed.

Original languageEnglish
Pages (from-to)103-110
Number of pages8
JournalJournal of Microbiological Methods
Volume94
Issue number2
DOIs
Publication statusPublished - 17 Jun 2013
Externally publishedYes

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