Volume 79, Issue 4, 1 April 2025
Insight
Intraspecific gene regulation in cis- and trans-
Original Articles
On the origin of an insular hybrid butterfly lineage
Can sexual conflict drive transitions to asexuality? Female resistance to fertilization in a facultatively parthenogenetic insect
Drought tolerance as an evolutionary precursor to frost and winter tolerance in grasses
Herbivory and water availability interact to shape the adaptive landscape in the perennial forb, Boechera stricta
Gene pseudogenization in fertility-associated genes in cheetah (Acinonyx jubatus), a species with long-term low effective population size
Small-scale genetic differentiation in mean flowering time, but not in plasticity, along a geothermal heating gradient
Divergence in genetic (co)variances and the alignment of gmax with phenotypic divergence
While genetic correlations can concentrate additive genetic variance into trait combinations that do not align with selection, genetic correlations themselves may evolve during divergence. Populations of the mycophagous fly Drosophila subquinaria have diverged between regions that are either allopatric or sympatric with its close relative, Drosophila recens . We used replicate breeding designs to estimate additive genetic variances and covariances (G -matrices) for a suite of chemical signaling traits that have diverged between regions. Our results suggest that G has evolved in sympatry following colonization from the ancestral allopatric region and may not have substantially constrained divergence in this case.
Comparative functional analyses of the prostate-specific KLK3 enzyme in primates reveal the impact of sexual selection
Craniofacial modularity and the evolution of cranial kinesis in the adaptive radiation of Furnariidae (Aves: Passeriformes)
The influence of temperature on courtship and mate choice in a wolf spider: implications for mating success in variable environments
Metabolic remodeling and de novo mutations transcend cryptic variation as drivers of adaptation in yeast
Living in a predictable environment can optimize cellular processes in an organism which can include loss of nonessential gene functions. At the same time, growing in a predictable environment can allow organisms to accumulate standing genetic variation, some of which may not have any role in that environment, but can provide fitness benefits upon an environmental change. To test how these processes influence population fitness, we experimentally evolved yeast populations in a predictable environment in the laboratory for 1,000 generations. We then tested the fitness and evolutionary adaptation of the evolved populations in new environments. We observed physiological changes during adaptation and accumulation of genomic mutations, some of which led to loss of function.