- QTL mapping
- Mouse chromosome 17
- Food intake
Background/Aims: The genetic basis for ingestive behaviors is virtually unknown. Quantitative trait loci (QTLs) for carbohydrate and energy intake map to mouse chromosome 17 and were previously confirmed by a congenic strain bearing CAST/Ei (CAST) donor segment on the C57BL/6J (B6) background. Methods: We used microarray technology to facilitate gene identification. Gene expression was compared between the B6.CAST-17 (BC-17) congenic and B6 strains in two diets: (1) chow, and (2) carbohydrate/protein vs. fat/protein. Results: Within the QTL and unique to macronutrient selection, Agpat1 (acylglycerol-3-phosphate O-acyltransferase 1) was differentially expressed in hypothalamus. Irrespective of diet, the gene with the highest fold difference in congenic mice was trefoil factor 3 (Tff3) in liver. Several genes involved in fat metabolism were decreased in carbohydrate-preferring congenic mice, while genes associated with carbohydrate metabolism were increased. In particular, the glyoxalase pathway was enhanced including Glo1, Glo2, and dLDH. Higher expression of Glo1 mRNA in BC-17 congenic mice corresponded to increased protein expression revealed by Western blot, and to higher GLO1 activity in blood. Conclusion: These genes represent new candidates for nutrient intake phenotypes. We propose that increased GLO1 in the BC-17 strain supports its need to protect against dietary oxidants resulting from high carbohydrate intake.
Copyright © 2008 S. Karger AG, Basel
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Brenda K. Smith Richards, PhD
Pennington Biomedical Research Center
6400 Perkins Road
Baton Rouge, LA 70808-4124 (USA)
Tel. +1 225 763 2562, Fax +1 225 763 2525, E-Mail firstname.lastname@example.org
Received: July 23, 2007
Accepted: October 5, 2007
Published online: January 17, 2008
Number of Print Pages : 17
Number of Figures : 7, Number of Tables : 6, Number of References : 52
Journal of Nutrigenetics and Nutrigenomics
Vol. 1, No. 4, Year 2008 (Cover Date: June 2008)
Journal Editor: Vohl, M.-C. (Quebec, Que.)
ISSN: 1661–6499 (Print), eISSN: 1661–6758 (Online)
For additional information: http://www.karger.com/JNN
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