“…Mock communities can be used to assess systematic error and biases in observed sequence data (Gohl et al., 2016), optimize filtering parameters (Bokulich et al., 2013), understand tradeoffs among sequence error correction approaches (Nearing, Douglas, Comeau, & Langille, 2018), and evaluate taxonomic classification regimes (Bokulich, Kaehler, et al, 2018). Systematic evaluation of animal metabarcoding studies is growing but remain limited in scope; synthetic mock samples have been used to explore the potential for alternative primer use (Beng et al., 2016), while biological mock samples have been used to improve quality filtering of spurious sequence variants (Jusino et al., 2019) and to evaluate the utility of PCR replicates (Galan et al., 2018). In addition, few studies have used real data (i.e., actual diet samples) to offer insights into the effects of sequencing platforms (Divoll, Brown, Kinne, McCracken, & O'Keefe, 2018) or abundance filtering parameters (Alberdi et al., 2018).…”