GigaMUGA genotypes for 72 house mice collected in grain-growing regions of southeastern Australia
Data files
Jul 17, 2023 version files 515.48 MB
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Oh_et_al_2023_GigaMUGA_FinalReport.txt
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README.md
Abstract
The management of invasive species has been greatly enhanced by population genetic analyses of multilocus single-nucleotide polymorphism (SNP) datasets that provide critical information regarding pest population structure, invasion pathways, and reproductive biology. For many applications, there is a need for protocols that offer rapid, robust, and efficient genotyping on the order of hundreds to thousands of SNPs, that can be tailored to specific study populations, and that are scalable for long-term monitoring schemes. Despite its status as a model laboratory species, there are few existing resources for studying wild populations of house mice (Mus musculus spp.) that strike this balance between data density and laboratory efficiency. Here we evaluate the utility of a custom-targeted capture genotyping-by-sequencing approach to support research on plaguing house mouse populations in Australia. This approach utilizes 3,651 hybridization capture probes targeting genome-wide SNPs identified from a sample of mice collected in grain-producing regions of southeastern Australia genotyped using a commercially available microarray platform. To assess performance of the custom panel, we genotyped wild caught mice (N=320) from two adjoining farms and demonstrate the ability to correctly assign individuals to source populations with high confidence (mean >95%), as well as robust kinship inference within sites. We discuss these results in the context of proposed applications for future genetic monitoring of house mice in Australia.
Methods
Genomic DNA was extracted from mouse tissue samples (ear snips) and submitted to Neogen Inc. for genotyping using the GigaMUGA Illumina Infinium II platform. Data here are raw genotypes called using Illumina BeadStudio/GenomeStudio software, as provided by the genotyping service provider, and prior to any processing or filtering.