Search for: All records

Abstract Phased genomes and pangenomes are enhancing our understanding of genetic variation. Accurate phasing and assembly in repetitive regions of the genome remain challenging, however. Addressing this obstacle is crucial for studying structural genomic variation, such as copy number variations (CNVs) common to repetitive regions. Polar fishes, for example, evolved repetitive tandem arrays of antifreeze protein (AFP) genes that facilitate adaptation to freezing and expanded in copy number in colder environments. AFP CNVs remain poorly characterized in polar fishes and may be illuminated by haplotype-aware approaches. We performed long-read sequencing for two polar fishes in the suborder Zoarcoidei and leveraged additional published long-read data to assemble phased genomes. We developed a workflow to measure haplotype diversity in CNV while controlling for misassembly and switch errors—a change from one parental haplotype to another in a contiguous assembly. We presentgfa_parser, which computes and extracts all possible contiguous sequences for phased or primary assemblies from graphical fragment assembly (GFA) files, andswitch_error_screen, which flags potential switch errors.gfa_parserrevealed that assembly uncertainty was ubiquitous across AFP array haplotypes and that standard processing of graphical fragment assemblies can bias measurement of haplotype CNVs. We detected no switch errors in AFP arrays. After controlling for misassembly and switch error, we detected haplotype diversity of AFP CNVs in all studied polar Zoarcoidei species and in 60% of AFP arrays. Intraindividual haplotype diversity spanned differences of 3–16 copies. Our workflow revealed intraspecific genomic diversity in zoarcoids that likely fueled the evolution of AFP copy number across temperature. 

Abstract Reconstructions of evolutionary history can be restricted by a lack of high-quality reference genomes. To date, only four of the eight species of bears (family Ursidae) have chromosome-level genome assemblies. Here, we present assemblies for three additional species—the sun, sloth, and Andean bears—and use a whole-genome alignment of all bear species and other carnivores to reconstruct the evolution of Ursidae. Multiple divergence dating approaches suggest that the six Ursine bears likely diversified in the last 5 Ma, but that divergence times within Ursinae are significantly impacted by gene tree heterogeneity. Consistent with this, we observe that nearly 50% of gene trees conflict with our highly supported species tree, a pattern driven by a significant early hybridization event within Ursinae. We also find that the karyotype of Ursinae is largely similar to the ancestral karyotype of all bears twenty million years prior. In contrast to this conservation of structure, dozens of chromosomal fissions and fusions associated with LINE/L1 retrotransposons dramatically restructured the genomes of the giant panda and Andean bear. Finally, we leverage these genomes to identify species-specific evidence for positive selection on genes associated with color, diet, and metabolism. One of these genes, TCPN2, has a role in pigmentation and shows a series of amino acid mutations in the polar bear over the last 0.5 Ma. Collectively, these new genomic resources enable improved reconstruction of the complex evolutionary history of bears and clarify how this enigmatic group diversified. 

Abstract Multiple lineages in the family Poeciliidae have independently adapted to hydrogen-sulfide-rich springs. The independent colonizations of such springs mean that there are naturally replicated lineages that provide a powerful model for studying adaptation and convergent evolution. However, there are limited genomic resources for many genera and species across Poeciliidae. Here, we present six high-quality, chromosome-level, annotated genome assemblies for Poecilia and Gambusia populations, five of which are the first for the species or ecotype, and the remaining assembly improved the current reference genome contiguity by more than 100-fold. Using these new assemblies, we compare repeat content and model historical changes in effective population size.