Reverse taxonomy: an approach towards determining the diversity of meiobenthic organisms based on ribosomal RNA signature sequences

• Published in: Philosophical transactions of the Royal Society of London. Series B. Biological sciences 2005-10, Vol.360 (1462), p.1917-1924
• Main Authors: Markmann, Melanie, Tautz, Diethard
• Format: Article
• Language: English
• Subjects: Animals; Artificial lakes; Automatic Data Processing - methods; Base Sequence; Benthos Fauna; Biodiversity; Biological taxonomies; Cluster Analysis; Computational Biology; DNA; DNA - genetics; DNA Primers; DNA taxonomy; Eukaryota - genetics; Fauna; Fresh Water; Fresh Water Lakes; Geologic Sediments; Germany; Invertebrates - genetics; Lake water; Large Subunit D3-D5; Molecular Diagnostic Techniques - methods; Molecular Sequence Data; Nematoda; Polymerase chain reaction; RNA, Ribosomal, 28S - genetics; Sediments; Sequence Analysis, DNA; Signatures; Taxa
• ISSN: 0962-8436; 1471-2970
• DOI: 10.1098/rstb.2005.1723

Organisms living in or on the sediment layer of water bodies constitute the benthos fauna, which is known to harbour a large number of species of diverse taxonomic groups. The benthos plays a significant role in the nutrient cycle and it is, therefore, of high ecological relevance. Here, we have explored a DNA-taxonomic approach to access the meiobenthic organismic diversity, by focusing on obtaining signature sequences from a part of the large ribosomal subunit rRNA (28S), the D3-D5 region. To obtain a broad representation of taxa, benthos samples were taken from 12 lakes in Germany, representing different ecological conditions. In a first approach, we have extracted whole DNA from these samples, amplified the respective fragment by PCR, cloned the fragments and sequenced individual clones. However, we found a relatively large number of recombinant clones that must be considered PCR artefacts. In a second approach we have, therefore, directly sequenced PCR fragments that were obtained from DNA extracts of randomly picked individual organisms. In total, we have obtained 264 new unique sequences, which can be readily placed into taxon groups, based on phylogenetic comparison with currently available database sequences. The group with the highest taxon abundance were nematodes and protozoa, followed by chironomids. However, we find also that we have by far not exhausted the diversity of organisms in the samples. Still, our data provide a framework within which a meiobenthos DNA signature sequence database can be constructed, that will allow to develop the necessary techniques for studying taxon diversity in the context of ecological analysis. Since many taxa in our analysis are initially only identified via their signature sequences, but not yet their morphology, we propose to call this approach 'reverse taxonomy'.