Revista de Biología Tropical ISSN Impreso: 0034-7744 ISSN electrónico: 2215-2075

OAI: https://revistas.ucr.ac.cr/index.php/rbt/oai
A response to: Evaluating the reliability of DNA Barcoding for Central American Pacific shallow water echinoderms identification
PDF
HTML
EPUB

Supplementary Files

PDF MS1
WORD MS1

How to Cite

Monckton, S. K., Steinke, D., & Robert Kerr, K. C. (2024). A response to: Evaluating the reliability of DNA Barcoding for Central American Pacific shallow water echinoderms identification. Revista De Biología Tropical, 72(1), e59992. https://doi.org/10.15517/rev.biol.trop.v72i1.59992

Abstract

Introduction: Chacón-Monge et al. (2024) sought to test the accuracy of DNA barcoding for species identification in Pacific Central American shallow water echinoderms. They used cytochrome c oxidase I (COI) sequences derived from new material collected as part of the BioMar-ACG project in Costa Rica. Using their set of 348 echinoderm sequences, they compared species identification results from two online platforms: the National Center for Biotechnology Information (NCBI) GenBank using the nucleotide Basic Local Alignment Search Tool (BLASTn), and the Barcode of Life Data Systems (BOLD) Identification Engine. Objective: The present article is a response to their results and conclusions.  Methods: We reinterpreted the results from the authors’ Appendix 2 to enable an objective comparison between the BOLD Identification Engine and BLASTn in GenBank. Results: While the authors found that both platforms were limited by the number of reference sequences available in their respective databases, they concluded that GenBank outperformed BOLD for identification; however, we identify several methodological flaws in their analysis. These include pseudoreplication amongst query sequences, contaminated sequences stemming from sampling errors, and a lack of standardization when interpreting results from the two platforms. Their assessment of the BOLD Identification Engine was also limited by improper selection of a reference database. Conclusion: Addressing these errors, we reinterpret their results and demonstrate that there is no difference in performance between the two platforms.

https://doi.org/10.15517/rev.biol.trop..v72i1.59992
PDF
HTML
EPUB

References

Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990). Basic local alignment search tool. Journal of Molecular Biology, 215(3), 403–410. https://doi.org/10.1016/S0022-2836(05)80360-2

Chacón-Monge, J. L., Abarca-Odio, J. I., & González-Sánchez, K. (2024). Evaluating the reliability of DNA Barcoding for Central American Pacific shallow water echinoderms identification: a molecular taxonomy and database accuracy analysis. Revista de Biología Tropical, 72(S1), e58997. https://doi.org/10.15517/REV.BIOL.TROP..V72IS1.58997

Cortés, J., & Joyce, F. (2020). BioMar-ACG: A successful partnership to inventory and promulgate marine biodiversity. Biotropica, 52(6), 1103–1106. https://doi.org/10.1111/BTP.12841

Hurlbert, S. H. (1984). Pseudoreplication and the Design of Ecological Field Experiments. Ecological Monographs, 54(2), 187–211. https://doi.org/10.2307/1942661

Layton, K. K. S., Corstorphine, E. A., & Hebert, P. D. N. (2016). Exploring Canadian Echinoderm Diversity through DNA Barcodes. PLOS ONE, 11(11), e0166118. https://doi.org/10.1371/JOURNAL.PONE.0166118

R Core Team (2023). R: A Language and Environment for Statistical Computing [Computer software]. R Foundation for Statistical Computing. https://www.R-project.org/

Ratnasingham, S., & Hebert, P. D. N. (2007). BOLD: The Barcode of Life Data System: Barcoding. Molecular Ecology Notes, 7(3), 355–364. https://doi.org/10.1111/J.1471-8286.2007.01678.X

Comments

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2024 Revista de Biología Tropical

Downloads

Download data is not yet available.