Search bioRxiv⌕ Search

Biology subjects

Branstetter, M. G.

Publications and source records attributed to Branstetter, M. G..

2 recordsLinked to original sources

Low-Coverage Genome Sequencing Outperforms Target Enrichment Phylogenomics

Genome-scale data have transformed phylogenetic inference, yet most studies continue to rely on reduced-representation approaches that target a subset of loci to reduce cost and increase taxon sampling. Although effective, these methods require specialized laboratory workflows, constrain long-term data reuse, and may perform poorly with degraded DNA. Low-coverage whole genome sequencing (lcWGS) offers a streamlined alternative: shallow to moderate sequencing of complete genomes followed by bioinformatic extraction of loci of interest. Despite its promise, lcWGS has not been rigorously benchmarked against targeted enrichment using historical museum specimens. Here, we directly compared lcWGS and ultraconserved element (UCE) target enrichment across taxonomically diverse bee specimens collected between 1934 and 2021. Both data types were generated from the same Illumina libraries, enabling a controlled, head-to-head evaluation. Using standard UCE analytical pipelines, we quantified locus recovery, gene-tree support, and phylogenetic performance across sequencing methods and specimen age classes. We further assessed recovery of additional marker classes, including mitogenomes, BUSCO loci, and UCEs from a newly-designed, expanded probe set. Across all age categories, lcWGS consistently outperformed target enrichment, recovering more UCE loci and substantially longer alignments, with the largest gains observed in highly degraded specimens. Gene trees derived from lcWGS exhibited higher mean bootstrap support and greater topological concordance, translating into improved species-tree inference. In addition, lcWGS enabled recovery of markedly more non-target loci, expanding analytical flexibility beyond the original marker set. These results demonstrate that lcWGS not only matches but frequently exceeds the performance of targeted enrichment in museum-based phylogenomics, while providing broader genomic utility. As sequencing costs continue to decline, lcWGS represents a robust and forward-looking strategy for phylogenetic research, particularly in taxa with modest genome sizes and challenging DNA quality.

evolutionary biology↗

Repeated shifts in sociality are associated with fine-tuning of highly conserved and lineage-specific enhancers in a socially flexible bee

Comparative genomic studies of social insects suggest that changes in gene regulation are associated with evolutionary transitions in social behavior, but the activity of predicted regulatory regions has not been tested empirically. We used STARR-seq, a high-throughput enhancer discovery tool, to identify and measure the activity of enhancers in the socially variable sweat bee, Lasioglossum albipes. We identified over 36,000 enhancers in the L. albipes genome from three social and three solitary populations. Many enhancers were identified in only a subset of L. albipes populations, revealing rapid divergence in regulatory regions within this species. Population-specific enhancers were often proximal to the same genes across populations, suggesting compensatory gains and losses of regulatory regions may preserve gene activity. We also identified 1182 enhancers with significant differences in activity between social and solitary populations, some of which are conserved regulatory regions across species of bees. These results indicate that social trait variation in L. albipes is driven both by the fine-tuning of ancient enhancers as well as lineage-specific regulatory changes. Combining enhancer activity with population genetic data revealed variants associated with differences in enhancer activity and identified a subset of differential enhancers with signatures of selection associated with social behavior. Together, these results provide the first empirical map of enhancers in a socially flexible bee and highlight links between cis-regulatory variation and the evolution of social behavior.

evolutionary biology↗