Quantitative trait loci for carbohydrate and total energy intake on mouse chromosome 17: congenic strain confirmation and candidate gene analyses (Glo1, Glp1r)

2007 ◽  
Vol 292 (1) ◽  
pp. R207-R216 ◽  
Author(s):  
K. Ganesh Kumar ◽  
Angela C. Poole ◽  
Barbara York ◽  
Julia Volaufova ◽  
Aamir Zuberi ◽  
...  

Quantitative trait loci (QTL) for carbohydrate ( Mnic1) and total energy ( Kcal2) intake on proximal mouse chromosome 17 were identified previously from a C57BL/6J (B6) X CAST/Ei (CAST) intercross. Here we report that a new congenic strain developed in our laboratory has confirmed this complex locus by recapitulating the original linked phenotypes: B6.CAST-17 homozygous congenic mice consumed more carbohydrate (27%) and total energy (17%) compared with littermate wild-type mice. Positional gene candidates with relevance to carbohydrate metabolism, glyoxalase I ( Glo1) and glucagon-like peptide-1 receptor ( Glp1r), were evaluated. Glo1 expression was upregulated in liver and hypothalamus of congenic mice when compared with B6 mice. Analyses of Glp1r mRNA and protein expression revealed tissue-specific strain differences in pancreas (congenic>B6) and stomach (B6>congenic). These results suggest the possibility of separate mechanisms for enhanced insulin synthesis and gastric accommodation in the presence of high carbohydrate intake and larger food volume, respectively. Sequence analysis of Glp1r found a G insert at nt position 1349, which results in earlier termination of the open reading frame, thus revealing an error in the public sequence. Consequently, the predicted length of GLP-1R is 463 aa compared with 489 aa, as previously reported. Also, we found a polymorphism in Glp1r between parental strains that alters the amino acid sequence. Variation in Glp1r could influence nutrient intake in this model through changes in the regulatory or protein coding regions of the gene. These congenic mice offer a powerful tool for investigating gene interactions in the control of food intake.

Genomics ◽  
1995 ◽  
Vol 27 (1) ◽  
pp. 161-164 ◽  
Author(s):  
Bonnie J. Tarricone ◽  
Wayne G. Hwang ◽  
Joseph N. Hingtgen ◽  
Steve R. Mitchell ◽  
John K. Belknap ◽  
...  

2007 ◽  
Vol 22 (7) ◽  
pp. 984-991 ◽  
Author(s):  
Alexander G Robling ◽  
Stuart J Warden ◽  
Kathryn L Shultz ◽  
Wesley G Beamer ◽  
Charles H Turner

2007 ◽  
Vol 15 (6) ◽  
pp. 922-927 ◽  
Author(s):  
Hongrun Yu ◽  
David J. Baylink ◽  
Godfred L. Masinde ◽  
Runzhi Li ◽  
Bay Nguyen ◽  
...  

2000 ◽  
Vol 279 (5) ◽  
pp. H2062-H2067 ◽  
Author(s):  
Yasuyuki Tsujita ◽  
Naoharu Iwai ◽  
Shinji Tamaki ◽  
Yasuyuki Nakamura ◽  
Masato Nishimura ◽  
...  

High blood pressure is the leading cause of left ventricular hypertrophy (LVH); however, not all hypertensive patients develop LVH. Genetic factors are important in the development of LVH. With the use of F2 male rats from spontaneously hypertensive rats and Lewis rats, we performed a study to identify the quantitative trait loci (QTL) that influence left ventricular mass (LVM). Mean arterial pressure (MAP) was measured by the direct intra-arterial method in conscious animals, and LVM was determined at 24 wk of age. QTL analysis was done using 160 microsatellite markers for a genome-wide scan. Two loci that influenced body weight-adjusted LVM with logarithm of the odds scores >3.4 were found. One locus on chromosome 17 influenced LVM independently of MAP. Another locus on chromosome 7 influenced LVM and MAP. These findings indicate not only the existence of a gene on chromosome 7 that influences LVM in a manner dependent on blood pressure but also the existence of a gene on chromosome 17 that influences LVM independently of blood pressure.


1998 ◽  
Vol 47 (4) ◽  
pp. 326-331 ◽  
Author(s):  
A. Puel ◽  
Jean-Claude Mevel ◽  
Yolande Bouthillier ◽  
Claude Decreusefond ◽  
Wolf H. Fridman ◽  
...  

2008 ◽  
Vol 14 (6) ◽  
pp. 631-645 ◽  
Author(s):  
G D Gale ◽  
R D Yazdi ◽  
A H Khan ◽  
A J Lusis ◽  
R C Davis ◽  
...  

Genetics ◽  
1998 ◽  
Vol 149 (4) ◽  
pp. 1959-1973 ◽  
Author(s):  
Qin Zhang ◽  
Didier Boichard ◽  
Ina Hoeschele ◽  
Cynthia Ernst ◽  
Andre Eggen ◽  
...  

Abstract Quantitative trait loci (QTL) affecting milk production and health of dairy cattle were mapped in a very large Holstein granddaughter design. The analysis included 1794 sons of 14 sires and 206 genetic markers distributed across all 29 autosomes and flanking an estimated 2497 autosomal cM using Kosambi's mapping function. All families were analyzed jointly with least-squares (LS) and variance components (VC) methods. A total of 6 QTL exceeding approximate experiment-wise significance thresholds, 24 QTL exceeding suggestive thresholds, and 34 QTL exceeding chromosome-wise thresholds were identified. Significance thresholds were determined via data permutation (for LS analysis) and chi-square distribution (for VC analysis). The average bootstrap confidence interval for the experiment-wise significant QTL was 48 cM. Some chromosomes harbored QTL affecting several traits, and these were always in coupling phase, defined by consistency with genetic correlations among traits. Chromosome 17 likely harbors 2 QTL affecting milk yield, and some other chromosomes showed some evidence for 2 linked QTL affecting the same trait. In each of these cases, the 2 QTL were in repulsion phase in those families appearing to be heterozygous for both QTL, a finding which supports the build-up of linkage disequilibrium due to selection.


2004 ◽  
Vol 97 (1) ◽  
pp. 77-84 ◽  
Author(s):  
Clarke G. Tankersley ◽  
Karl W. Broman

The genetic basis for differences in the regulation of breathing is certainly multigenic. The present paper builds on a well-established genetic model of differences in breathing using inbred mouse strains. We tested the interactive effects of hypoxia and hypercapnia in two strains of mice known for variation in hypercapnic ventilatory sensitivity (HCVS); i.e., high gain in C57BL/6J (B6) and low gain in C3H/HeJ (C3) mice. Strain differences in the magnitude and pattern of breathing were measured during normoxia [inspired O2 fraction (FiO2) = 0.21] and hypoxia (FiO2 = 0.10) with mild or severe hypercapnia (inspired CO2 fraction = 0.03 or 0.08) using whole body plethysmography. At each level of FiO2, the change in minute ventilation (V̇e) from 3 to 8% CO2 was computed, and the strain differences between B6 and C3 mice in HCVS were maintained. Inheritance patterns showed potentiation effects of hypoxia on HCVS (i.e., CO2 potentiation) unique to the B6C3F1/J offspring of B6 and C3 progenitors; i.e., the change in V̇e from 3 to 8% CO2 was significantly greater ( P < 0.01) with hypoxia relative to normoxia in F1 mice. Linkage analysis using intercross progeny (F2; n = 52) of B6 and C3 progenitors revealed two significant quantitative trait loci associated with variable HCVS phenotypes. After normalization for body weight, variation in V̇e responses during 8% CO2 in hypoxia was linked to mouse chromosome 1 (logarithm of the odds ratio = 4.4) in an interval between 68 and 89 cM (i.e., between D1Mit14 and D1Mit291). The second quantitative trait loci linked differences in CO2 potentiation to mouse chromosome 5 (logarithm of the odds ratio = 3.7) in a region between 7 and 29 cM (i.e., centered at D5Mit66). In conclusion, these results support the hypothesis that a minimum of two significant genes modulate the interactive effects of hypoxia and hypercapnia in this genetic model.


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