Project description:The order Caudata of amphibians has been important in the study of tissue regeneration. The most complete genetic available data from salamanders are from Ambystoma mexicanum (Ambystomidae) and Notophthalmus viridescens (Salamandridae). Transcriptome data obtained with Next-generation sequencing technology has become a useful tool to discover new candidate genes in non-model organisms without a genome of reference. This study highlights the need of performing RNA-sequencing in other salamander species to compare and identify important clusters of genes that could be modulating important biological process in amphibians. Here we describe a de novo reference transcriptome and its annotation of a non-model terrestrial salamander, Bolitoglossa vallecula (Caudata: Plethodontidae). For this purpose, we utilized genome protein databases from vertebrates, nucleotide sequences obtained for salamander species, and a de novo reference transcriptomes of Bolitoglossa ramosi to conduct a homology analysis. While the majority of the transcripts recovered homologs with Bolitoglossa ramosi, only a minority of the data (22%; n= 94,739) recovered homologs with other vertebrates. We also compared the transcriptome profile of skin tissue between these Bolitoglossa species. We found a group of antimicrobial peptides, such as cathelicidins, which have been not previously described in salamanders and could be important modulators of different biological process. All animals used in this work were collected under the Contract on Genetic Access for scientific research for non commercial profit (Contrato de acceso a recursos genéticos para la investigación científica sin interés commercial) to Resources number 118–2015.
Project description:Co-expression networks and gene regulatory networks (GRNs) are emerging as important tools for predicting the functional roles of individual genes at a system-wide scale. To enable network reconstructions we built a large-scale gene expression atlas comprised of 62,547 mRNAs, 17,862 non-modified proteins, and 6,227 phosphoproteins harboring 31,595 phosphorylation sites quantified across maize development. There was little edge conservation in co-expression and GRNs reconstructed using transcriptome versus proteome data yet networks from either data type were enriched in ontological categories and effective in predicting known regulatory relationships. This integrated gene expression atlas provides a valuable community resource. The networks should facilitate plant biology research and they provide a conceptual framework for future systems biology studies highlighting the importance of studying gene regulation at several levels.
Project description:Co-expression networks and gene regulatory networks (GRNs) are emerging as important tools for predicting the functional roles of individual genes at a system-wide scale. To enable network reconstructions we built a large-scale gene expression atlas comprised of 62,547 mRNAs, 17,862 non-modified proteins, and 6,227 phosphoproteins harboring 31,595 phosphorylation sites quantified across maize development. There was little edge conservation in co-expression and GRNs reconstructed using transcriptome versus proteome data yet networks from either data type were enriched in ontological categories and effective in predicting known regulatory relationships. This integrated gene expression atlas provides a valuable community resource. The networks should facilitate plant biology research and they provide a conceptual framework for future systems biology studies highlighting the importance of studying gene regulation at several levels.
