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

Authors

  • Etienne Slabbert Stellenbosch University
  • Carel van Heerden Stellenbosch University
  • Karin Jacobs Stellenbosch University

Keywords:

automated ribosomal intergenic spacer analysis, binning, fungal ecology, fynbos fungi, molecular community fingerprinting, soil fungi

Abstract

Automated 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.

Author Biography

  • Etienne Slabbert, Stellenbosch University
    Department of Microbiology,

    Stellenbosch University,

    Private Bag X1,

    Matieland 7602,

    South Africa

Published

2010-08-04

Issue

Section

Research Letters

How to Cite

Slabbert, E., van Heerden, C., & Jacobs, K. (2010). Optimisation of automated ribosomal intergenic spacer analysis for the estimation of microbial diversity in fynbos soil. South African Journal of Science, 106(7/8), 4 pages. https://sajs.co.za/article/view/10130
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