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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 Under climate change, ectotherms will likely face pressure to adapt to novel thermal environments by increasing their upper thermal tolerance and its plasticity, a measure of thermal acclimation. Ectotherm populations with high thermal tolerance are often less thermally plastic, a trade‐off hypothesized to result from (i) a phenotypic limit on thermal tolerance above which plasticity cannot further increase the trait, (ii) negative genetic correlation or (iii) fitness trade‐offs between the two traits. Whether each hypothesis causes negative associations between thermal tolerance and plasticity has implications for the evolution of each trait.We empirically tested the limit and trade‐off hypotheses by leveraging the experimental tractability and thermal biology of the intertidal copepodTigriopus californicus. Using populations from four latitudinally distributed sites in coastal California, six lines per population were reared under a laboratory common garden for two generations. Ninety‐six full sibling replicates (n = 4–5 per line) from a third generation were developmentally conditioned to 21.5 and 16.5°C until adulthood. We then measured the upper thermal tolerance and fecundity of sibships at each temperature.We detected a significant trade‐off in fecundity, a fitness corollary, between baseline thermal tolerance and its plasticity.Tigriopus californicuspopulations and genotypes with higher thermal tolerance were less thermally plastic. We detected negative directional selection on thermal plasticity under ambient temperature evidenced by reduced fecundity. These fitness costs of plasticity were significantly higher among thermally tolerant genotypes, consistent with the trade‐off hypothesis. This trade‐off was evident under ambient conditions, but not high temperature.Observed thermal plasticity and fecundity were best explained by a model incorporating both the limit and trade‐off hypotheses rather than models with parameters associated with one hypothesis. Effects of population and family on tolerance and plasticity negatively covaried, suggesting that a negative genetic correlation could not be ruled as contributing to negative associations between the traits. Our study provides a novel empirical test of the fitness trade‐off hypothesis that leverages a strong inference approach. We discuss our results' insights into how thermal adaptation may be constrained by physiological limits, genetic correlations, and fitness trade‐offs between thermal tolerance and its plasticity. Read the freePlain Language Summaryfor this article on the Journal blog.