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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.

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