Effectiveness of the DNA barcoding approach for closely related conifers discrimination: A case study of the Pinus mugo complex

Abstract DNA barcoding is a standard and efficient method, frequently used for identification, discrimination and discovery of new species. Although this approach is very useful for classifying the world's biodiversity, little is known about its usefulness in barcoding at lower taxonomic level and its discrimination rate for closely related species, like conifers. In this study, we compared the genetic variation of eight chloroplast DNA barcode regions ( matK, rbcL, trnH-psbA, trnL-trnF, rpl20-rps18, trnV, ycf1, ycf2 ) in 17 conifers - three closely related pines from Pinus mugo complex and 14 more distant conifers representing two genera and four sections of the Pinaceae family. The discrimination rate for a single and for multiple DNA barcode regions analyzed in this study was estimated using the Tree-Building and PWG-Distance methods. The usefulness of the DNA barcoding approach for analyzing and resolving taxonomic inconsistency among closely related and more phylogenetically distant conifers was evaluated and discussed.