TY - JOUR
T1 - Comparison of larval fish detections using morphology-based taxonomy versus high-throughput sequencing for invasive species early detection
AU - Hoffman, Joel Christopher
AU - Meredith, Christy
AU - Pilgrim, Erik
AU - Trebitz, Anett
AU - Hatzenbuhler, Chelsea
AU - Kelly, John Russell
AU - Peterson, Gregory
AU - Lietz, Julie
AU - Okum, Sara
AU - Martinson, John
N1 - Publisher Copyright:
© 2021, Canadian Science Publishing. All rights reserved.
PY - 2021
Y1 - 2021
N2 - When first introduced, invasive species typically evade detection; DNA barcoding coupled with high-throughput sequencing (HTS) may be more sensitive and accurate than morphology-based taxonomy and thereby improve invasive (or rare) species detection. We quantified the relative error of species detection between morphology-based and HTS-based taxonomic identification of ichthyoplankton collections from the Port of Duluth, Minnesota, an aquatic non-native species introduction “hot-spot” in the Laurentian Great Lakes. We found HTS-based taxonomy identified 28 species and morphologybased taxonomy identified 30 species, of which 27 were common to both. Among samples, 76% of family-level taxonomic assignments agreed; however, only 42% of species assignments agreed. Most errors were attributed to morphology-based taxonomy, whereas HTS-based taxonomy error was low. For this study system, for most non-native fishes, the detection probability by randomized survey for larvae was similar to that by a survey that is optimized for non-native species early detection of juveniles and adults. We conclude that classifying taxonomic errors by comparing HTS results against morphology-based taxonomy is an important step toward incorporating HTS-based taxonomy into biodiversity surveys.
AB - When first introduced, invasive species typically evade detection; DNA barcoding coupled with high-throughput sequencing (HTS) may be more sensitive and accurate than morphology-based taxonomy and thereby improve invasive (or rare) species detection. We quantified the relative error of species detection between morphology-based and HTS-based taxonomic identification of ichthyoplankton collections from the Port of Duluth, Minnesota, an aquatic non-native species introduction “hot-spot” in the Laurentian Great Lakes. We found HTS-based taxonomy identified 28 species and morphologybased taxonomy identified 30 species, of which 27 were common to both. Among samples, 76% of family-level taxonomic assignments agreed; however, only 42% of species assignments agreed. Most errors were attributed to morphology-based taxonomy, whereas HTS-based taxonomy error was low. For this study system, for most non-native fishes, the detection probability by randomized survey for larvae was similar to that by a survey that is optimized for non-native species early detection of juveniles and adults. We conclude that classifying taxonomic errors by comparing HTS results against morphology-based taxonomy is an important step toward incorporating HTS-based taxonomy into biodiversity surveys.
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U2 - 10.1139/cjfas-2020-0224
DO - 10.1139/cjfas-2020-0224
M3 - Article
C2 - 35619733
AN - SCOPUS:85107506258
SN - 0706-652X
VL - 78
SP - 752
EP - 764
JO - Canadian Journal of Fisheries and Aquatic Sciences
JF - Canadian Journal of Fisheries and Aquatic Sciences
IS - 6
ER -