Publication Type

Journal Article

Journal Name

Genomics

Publication Date

3-1-2026

Abstract

Low-coverage whole genome sequencing (lcWGS) combined with genotype imputation provides a cost-efficient alternative to high-coverage sequencing for large-scale genotyping. Although widely implemented in human and livestock genomics, this strategy has not yet been systematically optimized for insects of industrial importance. The black soldier fly (BSF, Hermetia illucens ) is increasingly used in global waste bioconversion and sustainable protein production, but genomic resources remain limited. Here, we develop the first BSF haplotype reference panel, containing ∼29.8 million high-quality SNPs from 168 high-coverage genomes, and benchmark imputation performance using a validation experiment in which 33 high-coverage individuals were down-sampled to low coverage and imputed against a reference panel of 135 individuals. We evaluated the performance of three imputation tools, QUILT v1.0.5, GLIMPSE2, and STITCH v1.7.2, across multiple sequencing depths (0.5 × −3×) and allele frequency bins. Based on this validation, QUILT v1.0.5 achieved the highest accuracy overall, particularly for rare variants (MAF < 0.05), whereas GLIMPSE2 delivered comparable accuracy for common variants with approximately twofold faster runtimes. STITCH enabled reference-free imputation but exhibited reduced accuracy relative to reference-based approaches. We then applied the optimized framework to 180 low-coverage (∼1×) BSF genomes, demonstrating the practical utility of the reference panel for large-scale genotyping when true genotypes are unavailable. Together, the reference panel, benchmarking results, and accompanying lcWGS pipeline establish a validated framework for cost-effective BSF genotyping, enabling downstream applications in population monitoring, diversity assessment, and selective breeding.

Keywords

Black soldier fly, Genotype imputation, Low coverage sequencing, Reference panel, Single nucleotide polymorphisms

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