Low-Coverage Genome Sequencing Outperforms Targeted Enrichment for Phylogenetic Analysis of Museum Specimens
A new study comparing low-coverage whole genome sequencing (lcWGS) with targeted enrichment methods on bee specimens found that lcWGS consistently recovered more genetic loci and produced stronger phylogenetic trees. The research used museum specimens collected over nearly a century, with both methods applied to the same DNA libraries for direct comparison. This finding suggests lcWGS could become the preferred approach for evolutionary studies as sequencing costs continue to decline.
Researchers conducted a controlled comparison of low-coverage whole genome sequencing and ultraconserved element (UCE) target enrichment using taxonomically diverse bee specimens spanning from 1934 to 2021. Both sequencing approaches were applied to identical Illumina libraries, enabling a rigorous head-to-head evaluation across different specimen age categories. Low-coverage whole genome sequencing consistently outperformed targeted enrichment across all metrics: it recovered more UCE loci, produced substantially longer sequence alignments, and showed the greatest advantages with highly degraded DNA samples. Gene trees derived from lcWGS exhibited higher bootstrap support values and greater topological concordance, resulting in improved species-tree inference. Additionally, lcWGS enabled recovery of non-target loci including mitogenomes and BUSCO markers, providing greater analytical flexibility beyond the original marker set. The authors conclude that lcWGS represents a robust strategy for phylogenetic research, particularly for taxa with modest genome sizes and challenging DNA preservation.
Limitations & open questions
The study's own limitations and scope constraints are not detailed in the abstract provided. Specific information about the number of bee specimens tested, the exact sequencing depths used, computational resource requirements for lcWGS versus targeted enrichment, and whether findings generalize to organisms with larger or more complex genomes would provide important context for assessing applicability.
What different sources said
- bioRxivCenter
Low-Coverage Genome Sequencing Outperforms Target Enrichment Phylogenomics
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