Ontology highlight
ABSTRACT:
PROVIDER: PRJNA550045 | ENA |
REPOSITORIES: ENA
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Project description:The common house spider Parasteatoda tepidariorum is a chelicerate model organism for studying developmental mechanisms and their evolution in arthropods. In contrast to the well-studied model insect, Drosophila melanogaster, embryos of the spider undergo patterning in a cellular environment from early stages (at least after the number of the nuclei increase to 16). Use of spider embryos provide new opportunities to understand the evolution of developmental mechanisms underlying arthropod body plans. This analysis aims to generate genome-scale, developmental profiles of gene expression in embryos of the spider P. tepidariorum, which facilitate a wide range of studies using this spider species.
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Project description:Spider silk proteins are synthesized in the silk-producing glands, where the spidroins are produced, stored and processed into a solid fiber from a crystalline liquid solution. Despite great interest in the spider silk properties, that make this material suitable for biomedical and biotechnological applications, the mechanism of formation and spinning of the silk fibers has not been fully elucidated; and no combination of proteomic and transcriptomic study has been carried out so far in the spider silk-producing glands. Nephila clavipes is an attractive orb-web spider to investigate the spinning process of silk production, given the properties of strength, elasticity and biocompatibility of their silk fibers. Thus, considering that the combination of proteomic and transcriptomic analysis may reveal an extensive repertoire of novel proteins involved in the silk spinning process, and in order to facilitate and enable proteomics in this non-model organism, the current study aims to construct a high quality reference mRNA-derived protein database that could be used to identify tissue specific expression patterns in spider silk glands. Next-generation sequencing has offered a powerful and cost-efficient technique for the generation of transcriptomic datasets in non-model species using diverse platforms such as the Illumina HiSeq, Roche 454, Pacific Biosystems, and Applied Biosystems SOLiD; In the current study, the Illumina HiSeq 2000 platform will be used to generate a N. clavipes spider silk glands transcriptome-based protein database. The transcriptome data generated in this study will provide a comprehensive and valuable genomic resource for future research of the group of spider silk-producing glands, in order to improve our understanding of the overall mechanism of action involved in production, secretion, storage, transport, protection and conformational changes of spidroins during the spinning process, and prey capture; and the results may be relevant for scientists in material Science, biology, biochemistry, and environmental scientists.
2018-12-30 | E-MTAB-5451 | biostudies-arrayexpress
Project description:Spider silk synthesis is an emerging model for the evolution of tissue-specific gene expression and the role of gene duplication in functional novelty, but its potential has not been fully realized. Accordingly, we quantified transcript (mRNA) abundance in seven silk gland types and three non-silk gland tissues for three cobweb-weaving spider species. Evolutionary analyses based on expression levels of thousands of homologous transcripts and phylogenetic reconstruction of 605 gene families demonstrated conservation of expression for each gland type among species. Despite serial homology of all silk glands, the expression profiles of the glue-forming aggregate glands were divergent from fiber-forming glands. Also surprising was our finding that shifts in gene expression among silk gland types were not necessarily coupled with gene duplication, even though silk-specific genes belong to multi-paralog gene families. Our results challenge widely accepted models of tissue specialization and significantly advance efforts to replicate silk-based high-performance biomaterials.
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Project description:Whole-genome sequencing data of three Sebastes species
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