Our preliminary studies using inbred mice show that mammalian genomes contain extensive, regional domains of functionally related elements that coalesced over evolutionary time to promote the coinheritance and survival of compatible sets of alleles at functionally related genes, and that domains on separate chromosomes interact in a distinctly non-random manner, forming scale-free networks. In effect, the mammalian genome is a dynamic system which varies spatially in its organization and expression and temporally in its evolution and inheritance. Using a team of computational biologists, molecular biologists and geneticists, we propose extending our studies of genome dynamics as an integrated system from an evolutionary perspective. This requires using computational approaches on large data sets we will generate to describe the interactions between genome organization, gene expression, phenotype determination and the impact of recombination hotspots in determining inheritance of co-adapted sets of alleles. By developing detailed maps of these interactions we can evaluate the underlying principles. We will develop training and outreach programs to make our information and tools available to the research community at large and initiate efforts to promote the development of this research area, taking advantage of The Jackson Laboratory's sustained programs in related efforts. To promote the long-term growth of this field of endeavor, in addition to the established faculty that have come together to pursue this program, we are recruiting several younger faculty so that their related efforts can flourish and develop over time. Our projects are designed to enhance our research capabilities for discovering the molecular mechanisms underlying human health and disease. Recent advances in genomic sciences have made it clear that reaching these understandings is a powerful step forward in developing improved prevention and therapy for our most common ills, including cancer, heart disease, and disorders of the immune and neurological systems.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center (P50)
Project #
3P50GM076468-05S1
Application #
8235571
Study Section
Special Emphasis Panel (ZGM1-CBCB-2 (SB))
Program Officer
Eckstrand, Irene A
Project Start
2006-04-01
Project End
2011-07-14
Budget Start
2010-04-01
Budget End
2011-07-14
Support Year
5
Fiscal Year
2011
Total Cost
$718,357
Indirect Cost
Name
Jackson Laboratory
Department
Type
DUNS #
042140483
City
Bar Harbor
State
ME
Country
United States
Zip Code
04609
Ju, Chelsea J-T; Zhao, Zhuangtian; Wang, Wei (2017) Efficient Approach to Correct Read Alignment for Pseudogene Abundance Estimates. IEEE/ACM Trans Comput Biol Bioinform 14:522-533
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Parvanov, Emil D; Tian, Hui; Billings, Timothy et al. (2017) PRDM9 interactions with other proteins provide a link between recombination hotspots and the chromosomal axis in meiosis. Mol Biol Cell 28:488-499
Chesler, Elissa J; Gatti, Daniel M; Morgan, Andrew P et al. (2016) Diversity Outbred Mice at 21: Maintaining Allelic Variation in the Face of Selection. G3 (Bethesda) 6:3893-3902
Morgan, Andrew P; Didion, John P; Doran, Anthony G et al. (2016) Whole Genome Sequence of Two Wild-Derived Mus musculus domesticus Inbred Strains, LEWES/EiJ and ZALENDE/EiJ, with Different Diploid Numbers. G3 (Bethesda) 6:4211-4216
Gu, Tongjun; Gatti, Daniel M; Srivastava, Anuj et al. (2016) Genetic Architectures of Quantitative Variation in RNA Editing Pathways. Genetics 202:787-98
Korstanje, Ron; Deutsch, Konstantin; Bolanos-Palmieri, Patricia et al. (2016) Loss of Kynurenine 3-Mono-oxygenase Causes Proteinuria. J Am Soc Nephrol 27:3271-3277
Powers, Natalie R; Parvanov, Emil D; Baker, Christopher L et al. (2016) The Meiotic Recombination Activator PRDM9 Trimethylates Both H3K36 and H3K4 at Recombination Hotspots In Vivo. PLoS Genet 12:e1006146

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