Neurons in the brains of different mammals are almost indistinguishable in structure and function, but their numbers vary by more than three orders of magnitude. This variation has part of its origins in a set of undefined genes that control rates of cell proliferation and cell death in different pools of neural precursor cells. Some genes must have global effects and control the scale of the entire CNS. Other genes must have specific effects on specific cell populations. collectively, these genes are not only at the root of brain evolution, but they are very likely to be key genes that control the normal development of the brain. Major technical advances now make it practical for the first time to map genes responsible for complex neuronal traits. These advances include (1) a quadrupling of the density of the genetic map, (2) the ease of genotyping marker loci distributed across the entire genome, (3) biometric methods to map quantitative trait loci (QTLs), and (4) novel magnetic resonance imaging methods that can generate precise quantitative data on many different parts of the brain. The project proposed by the applicant will use these new tools to map putative genes that contribute to the regulation of cell number in various CNS structures. The applicant proposes three specific ways to approach this problem. In the first, he will analyze two sets of recombinant-inbred mouse strains (BXD and BXH) to determine the number and location of genes controlling retinal ganglion cell number in mouse. This effort has already yielded a locus on chromosome 11 (Rcn-1) that is responsible for the majority of the genetic differences in the two parental strains. In year three the applicant proposes to repeat this analysis on brains from F2 intercross progeny of (CAST/Ei x BALB/cJ)F1s. Part of this first aim will be to do a developmental analysis of the highest and lowest strains in order to determine whether the differences arise from cell death or cell division.
The second aim will be to expand this study to the target of the retinal ganglion cells, namely the lateral geniculate nucleus. Counts of both source and target neurons will be made in large numbers of animals and the variations will be correlated with each other as well as with segregating loci in two diverse strains, BALB/cJ and C57BL/Ks as well as F2 intercross progeny of (CAST/Ei x BALB/cJ)F1s as well as various BXD recombinant inbred lines. The third specific aim will be similar in approach but instead of using cell counts of neurons in the visual pathway, volumetric measurements will be taken using a customized MRI radio frequency coil to analyze fixed brain tissue. The analysis will be done on different RI lines as well as mice from the (CAST/Ei x BALB/cJ)F1 intercross.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS035485-04
Application #
2892106
Study Section
Neurology B Subcommittee 2 (NEUB)
Program Officer
Spinella, Giovanna M
Project Start
1996-09-01
Project End
2000-07-31
Budget Start
1999-08-01
Budget End
2000-07-31
Support Year
4
Fiscal Year
1999
Total Cost
Indirect Cost
Name
University of Tennessee Health Science Center
Department
Anatomy/Cell Biology
Type
Schools of Medicine
DUNS #
941884009
City
Memphis
State
TN
Country
United States
Zip Code
38163
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Hardy, C L; Lu, L; Nguyen, P et al. (2001) Identification of quantitative trait loci controlling activation of TRBV4 CD8+ T cells during murine gamma-herpesvirus-induced infectious mononucleosis. Immunogenetics 53:395-400
Lu, L; Airey, D C; Williams, R W (2001) Complex trait analysis of the hippocampus: mapping and biometric analysis of two novel gene loci with specific effects on hippocampal structure in mice. J Neurosci 21:3503-14
Williams, R W; Airey, D C; Kulkarni, A et al. (2001) Genetic dissection of the olfactory bulbs of mice: QTLs on four chromosomes modulate bulb size. Behav Genet 31:61-77
Rosen, G D; Williams, R W (2001) Complex trait analysis of the mouse striatum: independent QTLs modulate volume and neuron number. BMC Neurosci 2:5
Airey, D C; Lu, L; Williams, R W (2001) Genetic control of the mouse cerebellum: identification of quantitative trait loci modulating size and architecture. J Neurosci 21:5099-109
Toth, L A; Williams, R W (1999) A quantitative genetic analysis of slow-wave sleep in influenza-infected CXB recombinant inbred mice. Behav Genet 29:339-48
Toth, L A; Williams, R W (1999) A quantitative genetic analysis of locomotor activity in CXB recombinant inbred mice. Behav Genet 29:319-28
Williams, R W (1999) A targeted screen to detect recessive mutations that have quantitative effects. Mamm Genome 10:734-8
Toth, L A; Williams, R W (1999) A quantitative genetic analysis of slow-wave sleep and rapid-eye movement sleep in CXB recombinant inbred mice. Behav Genet 29:329-37

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