This is a consolidation of several Arnquist lab Milou projects: b2016139 - De novo genome assembly of Callosobruchus chinensis This project will assemble the male genome of the beetle Callosobruchus maculatus, a major pest of legume crops globally. Genome size is 717 Mb. We will use long-read data generated by the NGS PacBio platform. gDNA will be delivered to the platform in teh next few days (Olga Vinnere Pettersson). b2016158 - De novo genome assembly of Callosobruchus analis This project will assemble the male genome of the beetle Callosobruchus maculatus. Genome size is 971 Mb - determined by flow cytometry. We will use long-read data generated by the NGS PacBio platform. gDNA will be delivered to the platform in the next few days (contact: Olga Vinnere Pettersson). This project forms part of a larger project on comparative genomics of a group of beetles of the genus Callosobruchus. Other projects deal with C. maculatus and C. chinensis. b2016194 - Pool seq of mtDNA We will estimate mtDNA haplotype freq in samples from artficial selection lines of a beetle, using Illumina pool seq data. Here, samples represent 100 individual beetles pooled together, to estimate mtDNA haplotype frequency in the samples (individuals carry either three different haplotypes). This concerns the management and analyses of this pool seq Illumina seq data. b2016443 - De novo genome assembly of Acanthoscelides obtectus This project will assemble the male genome of the beetle Acanthoscelides obtectus. Genome size is 949 Mb - determined by flow cytometry. We will use long-read data generated by the NGS PacBio platform. gDNA will be delivered to the platform in the next few days (contact: Olga Vinnere Pettersson). Project funed by VR and ERC. b2017004 - Pool seq of A obtectus lines Pool seq re-seq of Acanthoscelides obtectus selection lines, to determine regions of genome under selection. b2017005 - RNA seq of A obtectus lines RNA seq of Acanthoscelides obtectus selection lines, to assemble transcriptome and to analyse differential gene expression. During 2021/2022 this project will primarily involve large scale analyses of poolseq data (read mapping and SNP calling) as well as GWAS/QTL modelling of a large pedigree data set that will be delivered during the fall 2021.