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The history of lamprey evolution has been contentious due to limited morphological differentiation and limited genetic data. Available data has produced inconsistent results, including in the relationship among northern and southern species and the monophyly of putative clades. Here we use whole genome sequence data sourced from a public database to identify orthologs for 11 lamprey species from across the globe and build phylogenies. The phylogeny showed a clear separation between northern and southern lamprey species, which contrasts with some prior work. We also find that the phylogenetic relationships of our samples of two genera, Lethenteron and Eudontomyzon, deviate from the taxonomic classification of these species, suggesting that they require reclassification. 

Abstract Many evolutionary relationships remain controversial despite whole-genome sequencing data. These controversies arise, in part, due to challenges associated with accurately modeling the complex phylogenetic signal coming from genomic regions experiencing distinct evolutionary forces. Here, we examine how different regions of the genome support or contradict well-established relationships among three mammal groups using millions of orthologous parsimony-informative biallelic sites (PIBS) distributed across primate, rodent, and Pecora genomes. We compared PIBS concordance percentages among locus types (e.g. coding sequences (CDS), introns, intergenic regions), and contrasted PIBS utility over evolutionary timescales. Sites derived from noncoding sequences provided more data and proportionally more concordant sites compared with those from CDS in all clades. CDS PIBS were also predominant drivers of tree incongruence in two cases of topological conflict. PIBS derived from most locus types provided surprisingly consistent support for splitting events spread across the timescales we examined, although we find evidence that CDS and intronic PIBS may, respectively and to a limited degree, inform disproportionately about older and younger splits. In this era of accessible wholegenome sequence data, these results:1) suggest benefits to more intentionally focusing on noncoding loci as robust data for tree inference and 2) reinforce the importance of accurate modeling, especially when using CDS data.