Use of complete mitochondrial genome sequences to identify barcoding markers for groups with low genetic distance

Abstract

Complete mitochondrial sequences can be rapidly obtained and are widely available, providing a great source of species information and allowing for the discovery of new specific molecular markers. However, for some taxonomic groups, traditional approaches for species delimitation are impaired by the low genetic distance values. In these cases, other species-level markers are used. For Prochilodus, which includes important neotropical fish species, species-level delimitation usually results in poor phylogenetic resolution when using mitochondrial COI/cytB genes as barcoding markers because of low genetic variability and low species-level resolution. Thus, in this study, we developed an approach to design and validate new barcoding markers with high species-level resolution obtained from the D-loop region, using Prochilodus spp. as a model. For the new barcoding marker validation, the amplicon region was used to infer the phylogenetic relationships of Prochilodus spp. through three distinct methods: Bayesian inference (BI), Neighbor-Joining method (NJ), and Maximum Likelihood method (ML). The phylogenetic relationships of Prochilodus spp. revealed high resolution at species-level, nonoverlapping clades, and high branch support. The genetic distance results allied to two different clustering methods (Bayesian Poisson tree processes and automatic barcode gap discovery) revealed the existence of a barcoding gap, thus, validating the use of the barcoding markers designed in this study. The approach proposed here may, therefore, be expanded to other taxa to access and validate new barcoding markers with higher resolution at the species level.

Keywords:

• Barcoding markers
• phylogenetic
• Prochilodus
• D-loop barcode

Disclosure statement

The authors declare that the present research was conducted in the absence of any commercial relationship and that they have no conflict of interest.

Additional information

Funding

This study was supported by CEMIG [projects GT455 agreement number 4020000572], Peixe Vivo [contract number 4570011274/510] and CAPES [process 23038.006839/2014-33].