Taxonomical Evaluation of Plant Chloroplastic Markers by Bayesian Classifier.

Front Plant Sci

Research Group in Computational Biology and Microbial Ecology, Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia.

Published: February 2022

DNA barcodes are standardized sequences that range between 400 and 800 bp, vary at different taxonomic levels, and make it possible to assign sequences to species that have been previously taxonomically characterized. Several DNA barcodes have been postulated for plants, nonetheless, their classification potential has not been evaluated for metabarcoding, and as a result, it would appear as none of them excels above the others in this area. One tool that has been widely used and served as a baseline when evaluating new approaches is Naïve Bayesian Classifiers (NBC). The present study aims at evaluating the classification power of several plant chloroplast genetic markers that have been proposed as barcodes (, , , , , and ) using an NBC. We performed the classification at different taxonomic levels, and identified problematic genera when resolution was desired. We propose and as potential candidate markers with resolution up to genus level. Some problematic genera within certain families could lead to the misclassification no matter which marker is used (i.e., , , , , , , and ). Finally, we suggest recommendations for the taxonomic identification of plants in samples with potential mixtures.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850773PMC
http://dx.doi.org/10.3389/fpls.2021.782663DOI Listing

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