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116<br />
R. CAMPOS-HERRERA ET AL.<br />
endoparasitic fungi are obligate parasites of nematodes <strong>and</strong> some other microscopic<br />
metazoans (Kerry & Jaffee, 1997).<br />
Because the predation rate on EPNs cannot be reliably inferred from the<br />
abundance of many NF species in soil, more direct methods of assessing predation<br />
are needed. Duncan et al. (2007) developed an assay to enumerate NF species<br />
recovered directly from nematodes rather than soil, which better reflects levels of<br />
predatory rather than saprophytic behavior. Circumscribed soil cylinders were<br />
defined <strong>and</strong> isolated in situ <strong>by</strong> pounding PVC tubes to a depth of 20 cm in soil<br />
beneath the citrus tree canopy. These relatively undisturbed soil cylinders were<br />
baited with large numbers of EPNs <strong>and</strong> then recovered from the field after 3 days.<br />
The nematodes extracted from the soil cylinders were placed on water agar to allow<br />
growth of NF from nematode cadavers. This method effectively recovered predators<br />
<strong>and</strong> parasites of nematodes, which were invariably all killed within 5 days.<br />
However it was necessary to add fresh EPNs to the agar plates after 5 days to induce<br />
the formation of fungal fruiting bodies for species identification <strong>and</strong> the estimation<br />
of population abundance based on numbers of EPNs killed. The long period of time<br />
during which the fungi competed with one another on the water agar likely skewed<br />
the abundance estimates in favor of species best adapted to this artificial habitat.<br />
A more reliable estimate of NF predation rates in soil requires the identification<br />
of infected nematodes immediately following extraction from soil. Indeed, direct<br />
quantification of target populations rather than estimation from bioassays would<br />
facilitate underst<strong>and</strong>ing the roles in food webs of many <strong>org</strong>anisms that are currently<br />
poorly understood. For example, possible effects of Paenibacillus on EPN<br />
prevalence can be inferred in bioassays <strong>by</strong> the degree of spore encumbrance of EPN<br />
IJs emerging from sentinel insects (Duncan et al., 2007). However, spore<br />
encumbrance increases with the length of time that IJs are in the vicinity of bacteriainfected<br />
cadavers in these assays, <strong>and</strong> the detection of bacteria using sentinel insects<br />
depends on EPN abundance in soil. Therefore, methods to directly measure the<br />
abundance of these bacteria in soil or on nematodes extracted from soil are needed<br />
to accurately assess the degree to which EPNs <strong>and</strong> Paenibacillus interact at different<br />
times or in different habitats.<br />
Real-time PCR (or quantitative PCR, qPCR) provides an efficient method of<br />
quantifying soilborne <strong>org</strong>anisms such as bacteria <strong>and</strong> fungi using molecular probes<br />
(Atkins, Clark, P<strong>and</strong>e, Hirsch, & Kerry, 2005; Klob, Knief, Stubner, & Conrad,<br />
2003). The abundance of S. kraussei <strong>and</strong> S. affine in fields <strong>and</strong> meadows was<br />
recently compared using qPCR (Torr, Spiridonov, Heritage, & Wilson, 2007). The<br />
methods most commonly employed involve the use of fluorescent products that link<br />
to double str<strong>and</strong>ed DNA causing increased fluorescence (e.g., SYBR Green®) or the<br />
design of specific fluorescent probes (e.g., TaqMan® or hydrolysis probes). In both<br />
cases, species-specific primers designed for the target taxon are used. Both systems<br />
can function with a high degree of species specificity but, due to the use of a probe<br />
that adds an additional level of specificity to the primers, hydolysis probes are<br />
generally reported to be more reliable in this regard (Holeva et al., 2006; Leal,<br />
Green, Allen, Humble, & Rott, 2007). In both systems, the amount of fluorescence<br />
increases during PCR cycling. The quantification cycle (Cq) (also called threshold<br />
cycle or Ct) is that at which product amplification enters an exponential phase.