Project description:The goal of this study was to lay the groundwork for comparative transcriptomics of sex differences in the brain of wolf spiders, a non-model organism of the pyhlum Euarthropoda, by generating transcriptomes and analyzing gene expression. To examine differences in sex-differential gene expression, short read transcript sequencing and de novo transcriptome assembly were performed. Messenger RNA (mRNA) was isolated from dissected brain tissue of male and female subadult and mature wolf spiders (Schizocosa ocreata). The data consist of short read sequences for the two different life stages in each sex. Computational analyses on these data include de novo transcriptome assembly, using Trinity and CAP3 assembly suites, and differential expression analysis using the edgeR package. Sample-specific and combined transcriptomes, gene annotations, and differential expression results are described in this data note and are available from associated database submissions.
Project description:The process of producing the GRC zebrafish assembly included the high-quality sequencing and finishing of clones representing alternate haplotypes to corresponding regions in the current primary assembly. This project reports the variation between those alternate haplotype clones and the primary assembly.
Project description:Constructing high-quality haplotype-resolved genome assemblies has substantially improved the ability to detect and characterize genetic variants. A targeted approach providing readily access to the rich information from haplotype-resolved genome assemblies will be appealing to groups of basic researchers and medical scientists focused on specific genomic regions. Here, using the 4.5 megabase, notoriously difficult-to-assemble major histocompatibility complex (MHC) region as an example, we demonstrated an approach to construct haplotype-resolved assembly of the targeted genomic region with the CRISPR-based enrichment. Compared to the results from haplotype-resolved genome assembly, our targeted approach achieved comparable completeness and accuracy with reduced computing complexity, sequencing cost, as well as the amount of starting materials. Moreover, using the targeted assembled personal MHC haplotypes as the reference both improves the quantification accuracy for sequencing data and enables allele-specific functional genomics analyses of the MHC region. Given its highly efficient use of resources, our approach can greatly facilitate population genetic studies of targeted regions, and may pave a new way to elucidate the molecular mechanisms in disease etiology.