Benefits and limitations of a new genome-based PCR-RFLP genotyping assay (GB-RFLP): A SNP-based detection method for identification of species in extremely young adaptive radiations

High-throughput DNA sequencing technologies make it possible now to sequence entire genomes relatively easily. Complete genomic information obtained by whole-genome resequencing (WGS) can aid in identifying and delineating species even if they are extremely young, cryptic, or morphologically difficult to discern and closely related. Yet, for taxonomic or conservation biology purposes, WGS can remain cost-prohibitive, too time-consuming, and often constitute a data overkill. Rapid and reliable identification of species (and populations) that is also cost-effective is made possible by species-specific markers that can be discovered by WGS. Based on WGS data, we designed a PCR restriction fragment length polymorphism (PCR-RFLP) assay for 19 Neotropical Midas cichlid populations (Amphilophus cf. citrinellus), that includes all 13 described species of this species complex. Our work illustrates that identification of species and populations (i.e., fish from different lakes) can be greatly improved by designing genetic markers using available high resolution genomic information. Yet, our work also shows that even in the best-case scenario, when whole-genome resequencing information is available, unequivocal assignments remain challenging when species or populations diverged very recently, or gene flow persists. In summary, we provide a comprehensive workflow on how to design RFPL markers based on genome resequencing data, how to test and evaluate their reliability, and discuss the benefits and pitfalls of our approach.

Automated summary

High-throughput DNA sequencing technologies have made it easier to sequence entire genomes. Whole-genome resequencing can help identify and describe species that are difficult to discern, but it can be costly and time-consuming. Species-specific markers can be designed based on whole-genome resequencing data, enabling rapid and reliable species identification at a lower cost.