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Microbial metabarcoding studies using high throughput sequencing technologies generate unprecedented amounts of DNA sequence data and make it possible to determine not only the composition of the communities but also the underlying factors powering the evolution of these communities. Despite the potential of community level studies in helping to better understand the ecology of pathogens and to manage the losses caused by them, very few oomycete addressing metabarcoding studies have been carried out and with highly variable results. The aim of this study was to develop new oomycete-specific ITS region PCR primers with improved specificity for metabarcoding and identification of oomycetes. The modified ITS1oo and the newly developed ITS3oo primers show improved in silico specificity for oomycetes and when paired with the universal ITS4 successfully amplified the DNA from all eleven tested oomycete species from six genera. High throughput sequencing of 20 soil samples from forest nurseries and bordering areas, using the primer pair ITS1oo/ITS4, recovered more than 400 oomycete OTUs, which is a significant increase over previous studies, and indicates the ability of the new method to detect various oomycete groups from complex substrates. The average fraction of oomycete reads per soil samples was 32–36%, with a maximum of 69%. The recovered oomycete OTUs represented the groups Lagenidiales, Peronosporales, Pythiales and Saprolegniales, with Pythiales dominating in all samples. In addition, the new primers were successfully used in identifying pathogens directly from infected plant tissues with Sanger …