Create and share data and technology to enhance the development and application of genomics and systems biology in poultry. Facilitate the creation and sharing of poultry research populations and the collection and analysis of relevant new phenotypes including those produced by gene transfer. Elucidate genetic mechanisms that underlie economic traits and develop new methods to apply that knowledge to poultry breeding practices.
<p>NON-TECHNICAL SUMMARY:<br/> For the first time in history, biologists have access to technologies that enable them to rapidly generate enormous amounts of data about the genomes of our agricultural species. However, researchers using these technologies now face a major bottleneck in deriving knowledge from data to use it for improving agricultural productivity. Our goal is to enable researchers to accelerate knowledge delivery from research investments by giving them the tools to avoid the current bottleneck. We will do this by linking existing information about how genes work to biological data; developing novel and improved methods for predicting links between our existing knowledge and biological data; and by providing new tools for viewing how biological data relates to different species. The tools, training and resources that we develop are easily extended to other
species. Not only will we provide data and tools but we also provide integrated, practical training for the next generation of US researchers. This training ensures that researchers are able to use the resources we provide. The outcome of this project is that researchers will be able to more effectively and efficiently convert the power of genomic research into gains foragriculture and consumer use. Overall, the impact of our work is the improved ability for researchers to benefit society through improved agricultural systems, renewable energy, aquaculture, human nutrition, food safety and biotechnology. The societal impact of our education initiative is recruitment of minorities to emerging areas of biology via novel education and training opportunities.
<br/>(1) Chicken gene nomenclature will be assigned based upon the guidelines provided by the Chicken Gene Nomenclature Consortium. This in turn is based upon standards developed by international gene nomenclature groups such as the HGNC. (2) Functional annotation will be based upon providing both manual curation of published literature and by computational analysis of sequence. The data will be produced according to current Gene Ontology Consortium standards. Other functional annotation methods will also follow community curation standards. (3) Chicken Gene Expression data will be done by RNASeq analysis if mRNA and ncRNAs to identify expression at a transcriptional level and using proteomics and proteognomics mapping to identify expression at a translational level. All data will be submitted to public archives and final annotation files made available as gtf
and/or gff files, as appropriate.</p>