Nematodes play an important role in ecosystem processes, yet the relevance of nematode species diversity to ecology is unknown. Because nematode identification of all individuals at the species level using standard techniques is difficult and time-consuming, nematode communities are not resolved down to the species level, leaving ecological analysis ambiguous. We assessed the suitability of massively parallel sequencing for analysis of nematode diversity from metagenomic samples. We set up four artificial metagenomic samples involving 41 diverse reference nematodes in known abundances. Two samples came from pooling polymerase chain reaction products amplified from single nematode species. Two additional metagenomic samples consisted of amplified products of DNA extracted from pooled nematode species. Amplified products involved two rapidly evolving ~400-bp sections coding for the small and large subunit of rRNA. The total number of reads ranged from 4159 to 14771 per metagenomic sample. Of these, 82% were > 199 bp in length. Among the reads > 199 bp, 86% matched the referenced species with less than three nucleotide differences from a reference sequence. Although neither rDNA section recovered all nematode species, the use of both loci improved the detection level of nematode species from 90 to 97%. Overall, results support the suitability of massively parallel sequencing for identification of nematodes. In contrast, the frequency of reads representing individual species did not correlate with the number of individuals in the metagenomic samples, suggesting that further methodological work is necessary before it will be justified for inferring the relative abundances of species within a nematode community.

Although nematodes are the most abundant metazoan animals on Earth, their diversity is largely unknown. To overcome limitations of traditional approaches (labour, time, and cost) for assessing biodiversity of nematode species in environmental samples, we have previously examined the suitability of high-throughput sequencing for assessing species level diversity with a set of control experiments employing a mixture of nematodes of known number and with known sequences for target diagnostic loci. Those initial experiments clearly demonstrated the suitability of the approach for identification of nematode taxa but lacked the replicate experiments necessary to evaluate reproducibility of the approach. Here, we analyze reads generated from three different PCR amplifications and three different sequencing reactions to examine the differential PCR amplification, the possibility of emulsion PCR artefacts, and differences between sequencing reactions. Our results suggest that both qualitative and quantitative data are consistent and highly reproducible. Variation associated with in-house PCR amplification or emPCR and sequencing are present but the representation of each nematode is very consistent from experiment to experiment and supports the use of read counts to estimate relative abundance of taxa in a metagenetic sample.

Water-displacement and WinRHIZO root-scanning methods were compared for efficacy of root damage assessment. Results from both methods were similar and a highly significant relationship was found between the two methods in trial one (r2 = 0.9968, P < 0.0001) and trial two (r2 = 0.9988, P < 0.0001). Both protocols provide consistent root volume measurements; however, water displacement is preferred as an economical method if a quick evaluation of a large amount of roots is essential. For a more detailed root morphological and architectural analysis, WinRHIZO root scanning provides additional information about several root parameters that cannot be measured by simple water displacement.