Volume 11, Issue 4 p. 839-850

Molecular barcodes for soil nematode identification

Robin Floyd

Corresponding Author

Robin Floyd

Institute of Cell, Animal and Population Biology, University of Edinburgh, Edinburgh EH9 3JT, UK

Robin Floyd. Fax: +44 131650 7489; E-mail: [email protected]Search for more papers by this author
Eyualem Abebe

Eyualem Abebe

Institute of Cell, Animal and Population Biology, University of Edinburgh, Edinburgh EH9 3JT, UK

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Artemis Papert

Artemis Papert

Institute of Cell, Animal and Population Biology, University of Edinburgh, Edinburgh EH9 3JT, UK

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Mark Blaxter

Mark Blaxter

Institute of Cell, Animal and Population Biology, University of Edinburgh, Edinburgh EH9 3JT, UK

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First published: 25 April 2002
Citations: 542

Abstract

Using a molecular barcode, derived from single-specimen polymerase chain reaction (PCR) and sequencing of the 5′ segment of the small subunit ribosomal RNA (SSU) gene, we have developed a molecular operational taxonomic unit (MOTU) scheme for soil nematodes. Individual specimens were considered to belong to the same MOTU when the sequenced segment of 450 bases was > 99.5% identical. A Scottish upland Agrostis-Festuca grassland soil was sampled, using both culture-based and random selection methods. One hundred and sixty-six cultured isolates were sequenced, and clustered into five MOTU. From 74 randomly sampled individuals across the study site, 19 MOTU were defined. A subsequent sample of 18 individuals from a single subplot contained eight MOTU, four of which were unique to the single subplot sample. Interestingly, seven of these MOTU were not present in the culture-independent sampling. Overall, a total of 23 MOTU were defined from only 240 sequences. Many MOTU could readily be assigned to classical, morphologically defined taxonomic units using a database of SSU sequences from named nematode species. The MOTU technique allows a rapid assessment of nematode taxon diversity in soils. Correlation with a database of sequences from known species offers a route to application of the technique in ecological surveys addressing biological as well as genetic diversity.

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