Search for: All records

Selfish genetic elements subvert the normal rules of inheritance to unfairly propagate themselves, often at the expense of other genomic elements and the fitness of individuals carrying them. Social life provides diverse avenues for the propagation of such elements. In the fire ant Solenopsis invicta, polymorphic social organization is controlled by a social chromosome, one variant of which (Sb) enhances its own transmission in polygyne colonies through effects on caste development and queen acceptance by workers. Whether the selfish effects of Sb extend to haploid (reproductive) males in this system is less clear. Here, we demonstrate a strong overrepresentation of the Sb social chromosome haplotype in reproductive males, relative to Mendelian expectations, in both the pupal and adult stages. We tested for the presence of selective execution of adult SB males by workers but did not detect such behavior. Combined with the presence of a strong imbalance in the haplotype frequencies already early in the pupal stage, these results indicate that the Sb supergene may distort male haplotype frequencies during larval or embryonic development. These findings are significant because they demonstrate yet another mode by which the selfish tendencies of the Sb supergene are manifested, illuminate complex interactions between Sb and the fire ant breeding system, inform the development of models of the population dynamics of Sb, and illustrate how a selfish supergene can increase in frequency in a population despite harboring deleterious mutations. 

Abstract The large-scale and nonaseptic fermentation of sugarcane feedstocks into fuel ethanol in biorefineries represents a unique ecological niche, in which the yeast Saccharomyces cerevisiae is the predominant organism. Several factors, such as sugarcane variety, process design, and operating and weather conditions, make each of the ∼400 industrial units currently operating in Brazil a unique ecosystem. Here, we track yeast population dynamics in 2 different biorefineries through 2 production seasons (April to November of 2018 and 2019), using a novel statistical framework on a combination of metagenomic and clonal sequencing data. We find that variation from season to season in 1 biorefinery is small compared to the differences between the 2 units. In 1 biorefinery, all lineages present during the entire production period derive from 1 of the starter strains, while in the other, invading lineages took over the population and displaced the starter strain. However, despite the presence of invading lineages and the nonaseptic nature of the process, all yeast clones we isolated are phylogenetically related to other previously sequenced bioethanol yeast strains, indicating a common origin from this industrial niche. Despite the substantial changes observed in yeast populations through time in each biorefinery, key process indicators remained quite stable through both production seasons, suggesting that the process is robust to the details of these population dynamics.