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Molecular Nematology as a Tool for Soil Monitoring<br />

Neilson, R. (1), S. Donn (1), S.N. Vink (1), B.S. Griffiths (2) & T.J. Daniell (1)<br />

(1) SCRI, Dundee, DD2 5DA, Scotland, UK; (2) Teagasc, Environment Research Centre, Johnstown Castle,<br />

Wexford, Co. Wexford, Ireland.<br />

Climate change is now recognized as one of the most important challenges for the planet.<br />

Whilst the gross geophysical changes such as receding glaciers capture the headlines and are<br />

in relative terms simple to measure, the impact upon soil ecosystems is potentially more<br />

difficult to detect due to the resilient nature of soil. The combination of climate change and<br />

constant perturbation by agronomic practices may accelerate degradation of soils in<br />

agricultural zones with soil erosion for example an increasing issue.<br />

Intensive land use has been implicated in declining soil health with concomitant concerns<br />

over sustainability of agronomic production. Monitoring soil health is problematic although<br />

soon to become a reality in the European Union due to forthcoming legislation.<br />

Nematodes have been proposed as indicators of soil health due to their ubiquity, short<br />

generation times and trophic composition, however identification based on morphology is<br />

time consuming and challenging. Previously univariate and multivariate analysis of classical<br />

morphological data have been used to interpret nematode assemblage data with limited<br />

success.<br />

Alternative molecular approaches to profiling soil nematode assemblages have been applied<br />

here, based on Terminal Restriction Fragment Length Polymorphism (T-RFLP) of small<br />

subunit ribosomal DNA. Two approaches are described, the first entailing digestion of<br />

fluorescently labelled PCR product with a single enzyme, combined with multivariate<br />

analysis of the resulting fragment profile. Application of this method on agricultural sites<br />

under differing management regimes revealed significant differences in assemblage<br />

composition by agronomic treatment. The second approach utilises a directed method where,<br />

from collected sequence information, a restriction digest has been designed to separate<br />

nematode taxa present at the study sites into terminal restriction fragments of known size.<br />

We envisage the resulting semi-quantitative profiles may be combined with existing<br />

nematode diversity indices and other soil (a)biotic data as a potential tool to monitor soil<br />

health.<br />

5 th International Congress of Nematology, 2008 93

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