Manat, Y. | Search bioRxiv

bioRxiv2026

Drosophila pseudoobscura third chromosome inversion arrangements have sex-specific effects on life history traits

Chromosomal inversions can create polymorphic "supergenes" consisting of many alleles in linkage disequilibrium that affect constellations of traits. The coadaptation hypothesis supposes that many alleles within an inversion haplotype have synergistic epistatic interactions, which are maintained by suppressed recombination in inversion heterozygotes, heterozygote advantage, and context-dependent fitness effects. The fitness benefits of chromosomal inversions frequently arise from effects on life history syndromes, including ecotypes and reproductive strategies. Life history syndromes can also be caused by individual pleiotropic alleles in ways that resemble the effects of chromosomal inversions. It is therefore possible that the fitness effects of chromosomal inversions arise because of pleiotropic alleles and not coadaptation. These two hypotheses can be distinguished because pleiotropy predicts greater genetic correlations of traits than coadaptation. To test the coadaptation and pleiotropy hypotheses, we measured three life history traits (lifespan, development time, and body size) in Drosophila pseudoobscura with six different chromosomal inversion genotypes. We assayed males and females raised at multiple temperatures in order to expose phenotype variation. Temperature affected lifespan and development more than any other factor, but we also observed differences in mortality rates and development times that depended on chromosomal inversions and sex. Despite these context-dependent effects on life history traits, we failed to identify genetic correlations that would be evidence for pleiotropic alleles. Our results therefore suggest that the coadaptation hypothesis is better supported.

evolutionary biology↗

bioRxiv2026

Population genomics of Drosophila pseudoobscura

Drosophila pseudoobscura is an historically important organism in evolutionary genetics, serving as a model system in studies of chromosomal inversions, speciation, sex chromosome evolution, and sex-ratio drive. However, previous population genetics analysis of D. pseudoobscura focused on individual chromosomes or used fragmented genome assemblies as a reference. To address these shortcomings, we generated a D. pseudoobscura population genomics resource consisting of newly sequenced genomes from 60 inbred lines sampled across the species geographic range in North America. Using these data and a chromosome-scale reference genome, we examined patterns of nucleotide diversity and population structure across the chromosomes. We found no strong evidence of population structure on most chromosomes, consistent with prior results. In contrast, we identified population structure on the third chromosome, which we attributed to a well-characterized inversion polymorphism. We assigned individual third chromosome haplotypes to inversion arrangements, demonstrating how tests for population structure can be used to identify polymorphic chromosomal rearrangements. Tajimas D was negative across most of the genome, consistent with a recent population expansion. However, the distribution of genetic variation differed across third chromosome inversion arrangements in ways that were consistent with their hypothesized evolutionary histories, and we identified inter-arrangement genetic differentiation that could be attributed to the inversions suppressing genetic exchange. The population genomic data we have collected is publicly available and will support future research on evolutionary genetics. SummaryThe genomes of 60 isolates of Drosophila pseudoobscura were sequenced and analyzed. This species is a model organism for multiple areas in evolutionary genetics research, including chromosomal rearrangement, sex chromosomes, and speciation. This article presents the largest population genomic data set collected in this species. The analysis of the data demonstrates how population structure detection approaches can be used to identify polymorphic chromosomal inversions. The data presented will be valuable for future work on fundamental questions in population genetics.

genomics↗