Project description:This data originates from an expression quantitative trait locus analysis of liver in an advanced intercross of Red Jungefowl and White Leghorn chickens. The aim of the study was to map the genetic basis of growth traits and transcript abundance traits in the liver, and use the latter to search for candidate causative genes for chicken growth.
Project description:In this study we used a maize multiparental advanced generation intercross (MAGIC) population, originating from nine parental lines (A632, B73, B96, F7, H99, HP301, Mo17, W153R and CML91) followed by 6 generations of self-pollination. A subset of 94 lines was chosen randomly from the set of 529 lines that was genotyped and phenotyped in the field (Dell'Aqua et al (2015) Genome Biology, 16:167) and sampled for RNA seq of proliferative tissue of growing leaf.
Project description:Background and Aims: Lifespan is influenced by complex interactions between genetic and environmental factors. Limitations in studying those factors in model organisms of a single genetic background hinder translational value. Here, we mapped genetic determinants of lifespans in 85 C. elegans recombinant intercross advanced inbred lines (RIAILs). We assessed molecular profiles – transcriptome, proteome, and lipidome – and life-history traits (lifespan), development, growth dynamics, and reproduction.
Project description:The budding yeast Saccharomyces cerevisiae was used to study 9 different stress conditions in chemostat conditions at constant specific growth rate.
Project description:This data originates from an expression quantitative trait locus analysis of cerebrum in an advanced intercross of Red Jungefowl and White Leghorn chickens. The aim of the study was to map the genetic basis of cerebrum and body mass, and idenifiy transcriptional differences within the intercross to assess any candidate genes for cerebrum and body mass.
Project description:Metabolic control analysis is being exploited in a systems biology study of the eukaryotic cell. Using chemostat culture, we have measured the impact of changes in flux (growth rate) on the transcriptome, proteome, endometabolome and exometabolome of the yeast Saccharomyces cerevisiae. Each functional genomic level shows clear growth-rate-associated trends and discriminates between carbon-sufficient and carbon-limited conditions. Genes consistently and significantly upregulated with increasing growth rate are frequently essential and encode evolutionarily conserved proteins of known function that participate in many protein-protein interactions. In contrast, more unknown, and fewer essential, genes are downregulated with increasing growth rate; their protein products rarely interact with one another. A large proportion of yeast genes under positive growth-rate control share orthologs with other eukaryotes, including humans. Significantly, transcription of genes encoding components of the TOR complex (a major controller of eukaryotic cell growth) is not subject to growth-rate regulation. Moreover, integrative studies reveal the extent and importance of post-transcriptional control, patterns of control of metabolic fluxes at the level of enzyme synthesis, and the relevance of specific enzymatic reactions in the control of metabolic fluxes during cell growth.
