Optimization of automated ribosomal intergenic spacer analysis for the estimation of microbial diversity in fynbos soil

dc.contributor.authorSlabbert, Etienneen_ZA
dc.contributor.authorVan Heerden, Carel J.en_ZA
dc.contributor.authorJacobs, Karinen_ZA
dc.descriptionThe original publication is available at http://www.scielo.org.za/en_ZA
dc.description.abstractAutomated ribosomal intergenic spacer analysis (ARISA) has become a commonly used molecular technique for the study of microbial populations in environmental samples. The reproducibility and accuracy of ARISA, with and without the polymerase chain reaction (PCR) are important aspects that influence the results and effectiveness of these techniques. We used the primer set ITS4/ITS5 for ARISA to assess the fungal community composition of two sites situated in the Sand Fynbos. The primer set proved to deliver reproducible ARISA profiles of the fungal community composition with little variation observed between ARISA-PCRs. Variation that occurred in a sample due to repeated DNA extraction is expected for ecological studies. This reproducibility made ARISA a useful tool for the assessment and comparison of diversity in ecological samples. In this paper, we also offered particular suggestions concerning the binning strategy for the analysis of ARISA profiles.en_ZA
dc.format.extent4 p. : ill.
dc.identifier.issn1996-7489 (online)
dc.identifier.issn0038-2353 (print)
dc.publisherAcademy of Science of South Africa -- ASSAFen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectAutomated ribosomal intergenic spacer analysis (ARISA)en_ZA
dc.subjectFungal ecologyen_ZA
dc.subjectFynbos fungien_ZA
dc.titleOptimization of automated ribosomal intergenic spacer analysis for the estimation of microbial diversity in fynbos soilen_ZA
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