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The field of population genomics has grown rapidly in response to the recent advent of affordable, large-scale sequencing technologies. As opposed to the situation during the majority of the 20th century, in which the development of theoretical and statistical population genetic insights outpaced the generation of data to which they could be applied, genomic data are now being produced at a far greater rate than they can be meaningfully analyzed and interpreted. With this wealth of data has come a tendency to focus on fitting specific (and often rather idiosyncratic) models to data, at the expense of a careful exploration of the range of possible underlying evolutionary processes. For example, the approach of directly investigating models of adaptive evolution in each newly sequenced population or species often neglects the fact that a thorough characterization of ubiquitous nonadaptive processes is a prerequisite for accurate inference. We here describe the perils of these tendencies, present our consensus views on current best practices in population genomic data analysis, and highlight areas of statistical inference and theory that are in need of further attention. Thereby, we argue for the importance of defining a biologically relevant baseline model tuned to the details of each new analysis, of skepticism and scrutiny in interpreting model fitting results, and of carefully defining addressable hypotheses and underlying uncertainties. 

ThUe:fiPelledaosefcpoonpfiurlmattihoantagllehneoamdinicgslehvaeslsagrreorwepnrreaspenidtelydcinorrreescptloyn: se to the recent advent of affordable, large-scale sequencing technologies. As opposed to the situation during the majority of the 20th century, in which the development of theoretical and statistical population genetic insights outpaced the generation of data to which they could be applied, genomic data are now being produced at a far greater rate than they can be meaningfully analyzed and interpreted. With this wealth of data has come a tendency to focus on fitting specific (and often rather idiosyncratic) models to data, at the expense of a careful exploration of the range of possible underlying evolutionary processes. For example, the approach of directly investigating models of adaptive evolution in each newly sequenced population or species often neglects the fact that a thorough characterization of ubiquitous nonadaptive processes is a prerequisite for accurate inference. We here describe the perils of these tendencies, present our consensus views on current best practices in population genomic data analysis, and highlight areas of statistical inference and theory that are in need of further attention. Thereby, we argue for the importance of defining a biologically relevant baseline model tuned to the details of each new analysis, of skepticism and scrutiny in interpreting model fitting results, and of carefully defining addressable hypotheses and underlying uncertainties. 

Abstract Comparisons of high-quality, reference butterfly, and moth genomes have been instrumental to advancing our understanding of how hybridization, and natural selection drive genomic change during the origin of new species and novel traits. Here, we present a genome assembly of the Southern Dogface butterfly, Zerene cesonia (Pieridae) whose brilliant wing colorations have been implicated in developmental plasticity, hybridization, sexual selection, and speciation. We assembled 266,407,278 bp of the Z. cesonia genome, which accounts for 98.3% of the estimated 271 Mb genome size. Using a hybrid approach involving Chicago libraries with Hi-Rise assembly and a diploid Meraculous assembly, the final haploid genome was assembled. In the final assembly, nearly all autosomes and the Z chromosome were assembled into single scaffolds. The largest 29 scaffolds accounted for 91.4% of the genome assembly, with the remaining ∼8% distributed among another 247 scaffolds and overall N50 of 9.2 Mb. Tissue-specific RNA-seq informed annotations identified 16,442 protein-coding genes, which included 93.2% of the arthropod Benchmarking Universal Single-Copy Orthologs (BUSCO). The Z. cesonia genome assembly had ∼9% identified as repetitive elements, with a transposable element landscape rich in helitrons. Similar to other Lepidoptera genomes, Z. cesonia showed a high conservation of chromosomal synteny. The Z. cesonia assembly provides a high-quality reference for studies of chromosomal arrangements in the Pierid family, as well as for population, phylo, and functional genomic studies of adaptation and speciation. 

Abstract Lytechinus variegatus is a camarodont sea urchin found widely throughout the western Atlantic Ocean in a variety of shallow-water marine habitats. Its distribution, abundance, and amenability to developmental perturbation make it a popular model for ecologists and developmental biologists. Here, we present a chromosomal-level genome assembly of L. variegatus generated from a combination of PacBio long reads, 10× Genomics sequencing, and HiC chromatin interaction sequencing. We show L. variegatus has 19 chromosomes with an assembly size of 870.4 Mb. The contiguity and completeness of this assembly are reflected by a scaffold length N50 of 45.5 Mb and BUSCO completeness score of 95.5%. Ab initio and transcript-informed gene modeling and annotation identified 27,232 genes with an average gene length of 12.6 kb, comprising an estimated 39.5% of the genome. Repetitive regions, on the other hand, make up 45.4% of the genome. Physical mapping of well-studied developmental genes onto each chromosome reveals nonrandom spatial distribution of distinct genes and gene families, which provides insight into how certain gene families may have evolved and are transcriptionally regulated in this species. Lastly, aligning RNA-seq and ATAC-seq data onto this assembly demonstrates the value of highly contiguous, complete genome assemblies for functional genomics analyses that is unattainable with fragmented, incomplete assemblies. This genome will be of great value to the scientific community as a resource for genome evolution, developmental, and ecological studies of this species and the Echinodermata. 

Abstract Spermatozoa are one of the most strikingly diverse animal cell types. One poorly understood example of this diversity is sperm heteromorphism, where males produce multiple distinct morphs of sperm in a single ejaculate. Typically, only one morph is capable of fertilization and the function of the nonfertilizing morph, called parasperm, remains to be elucidated. Sperm heteromorphism has multiple independent origins, including Lepidoptera (moths and butterflies), where males produce a fertilizing eupyrene sperm and an apyrene parasperm, which lacks a nucleus and nuclear DNA. Here we report a comparative proteomic analysis of eupyrene and apyrene sperm between two distantly related lepidopteran species, the monarch butterfly (Danaus plexippus) and Carolina sphinx moth (Manduca sexta). In both species, we identified ∼700 sperm proteins, with half present in both morphs and the majority of the remainder observed only in eupyrene sperm. Apyrene sperm thus have a distinctly less complex proteome. Gene ontology (GO) analysis revealed proteins shared between morphs tend to be associated with canonical sperm cell structures (e.g., flagellum) and metabolism (e.g., ATP production). GO terms for morph-specific proteins broadly reflect known structural differences, but also suggest a role for apyrene sperm in modulating female neurobiology. Comparative analysis indicates that proteins shared between morphs are most conserved between species as components of sperm, whereas morph-specific proteins turn over more quickly, especially in apyrene sperm. The rapid divergence of apyrene sperm content is consistent with a relaxation of selective constraints associated with fertilization and karyogamy. On the other hand, parasperm generally exhibit greater evolutionary lability, and our observations may therefore reflect adaptive responses to shifting regimes of sexual selection.