| Project/Area Number |
16380186
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Applied animal science
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| Research Institution | Nagoya University |
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Principal Investigator |
ISHIKAWA Akira Nagoya University, Graduate School of Bioagricultural Sciences, Associate Professor, 大学院生命農学研究科, 助教授 (20211724)
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| Co-Investigator(Kenkyū-buntansha) |
NAMIKAWA Takao Nagoya University, Graduate School of Bioagricultural Sciences, Professor, 大学院生命農学研究科, 教授 (70111838)
EBIHARA Shizufumi Nagoya University, Graduate School of Bioagricultural Sciences, Professor, 大学院生命農学研究科, 教授 (50135331)
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| Project Period (FY) |
2004 – 2006
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| Project Status |
Completed (Fiscal Year 2006)
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| Budget Amount *help |
¥15,700,000 (Direct Cost: ¥15,700,000)
Fiscal Year 2006: ¥2,800,000 (Direct Cost: ¥2,800,000)
Fiscal Year 2005: ¥5,500,000 (Direct Cost: ¥5,500,000)
Fiscal Year 2004: ¥7,400,000 (Direct Cost: ¥7,400,000)
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| Keywords | mouse / growth / QTL / quantitative trait / candidate gene / chromosome / congenic strain |
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| Research Abstract |
We have previously mapped a new QTL (named Pbwgl) for body weight and growth on chromosome 2 that was identified in the genetic resources of a wild mouse population in the Philippines. We have developed a congenic strain for Pbwgl with a genetic background of the C57BL/6J strain and named it B6.Cg-Pbwgl. Our final objective is to identify a causative gene for Pbwgl. In this study, we performed following investigations: (1) phenotypic characterization of B6.Cg-Pbwgl, (2) development of subcongenic strains using F2 progeny from an intercross between B6.Cg-Pbwgl and C57BL/6J strains, (3) precise mapping of Pbwg.l'by QTL analysis in the F2 population, and (4) candidate gene search for Pbwgl by comprehensive geneexpression analysis. B6.Cg-Pbwg1 was characterized by higher body weight gain at 1-3 weeks of age and lower white fat pad weight than C57BL/6J. QTL analysis in the F2 revealed that Pbwgl was not constructed from only one locus but from 8 loci for body composition traits such as lean body weight and fat pad weight. We succeeded in development of 14 subcongenic strains that will be used for further narrowing down the body composition QTLs. We were able to find several candidate genes for each of the body composition QTLs by microarray analysis and database search. Experimental condition setting for real-time PCR analysis was completed. In the near future, we will able to reduce the number of candidate genes by the real-time PCR analysis of the candidate genes selected here and phenotypic characterization of the subcongenics developed.
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