scholarly journals Mapping quantitative trait loci for body weight on the X chromosome in mice. I. Analysis of a reciprocal F2 population

1997 ◽  
Vol 70 (2) ◽  
pp. 117-124 ◽  
Author(s):  
KELLIE A. RANCE ◽  
WILLIAM G. HILL ◽  
PETER D. KEIGHTLEY
Keyword(s):  
Body Weight ◽  
Quantitative Trait Loci ◽  
X Chromosome ◽  
Quantitative Trait ◽  
Selection Line ◽  
Fat Percentage ◽  
Analytical Technique ◽  
F2 Population ◽  
Trait Loci ◽  
Males And Females

Evidence of a large sex-linked effect accounting for 25% of the divergence between mouse lines selected for body weight has been described previously. A marker-based study was undertaken to determine the number and map positions of the putative X-linked quantitative trait loci (QTLs). An F2 population was generated from a reciprocal F1 between an inbred low line derived from the low selection line and the high selection line. To enable inference of marker-associated QTL effects on the X chromosome, an analytical technique was developed based on the multiple regression method of Haley and Knott. The analysis of data on 10 week weight indicated a single QTL of large effect situated at about 23 cM from the proximal end of the chromosome, with a peak LOD score of 24·4. The likelihood curve showed a single well-defined peak, and gave a 95% confidence interval for the QTL location of 8 cM. The estimates for the additive genotypic effects in males and females (half the differences between hemizygous males and between homozygous females) were 2·6 g in both cases, or 17% and 20% of the 10 week body weight in males and females respectively. Dominance effects in the females were found to be non-significant. No significant X-linked effect on carcass fat percentage was detected, but a single X-linked QTL appears to explain almost the entire X-linked body weight effect.

scholarly journals Mapping quantitative trait loci for body weight on the X chromosome in mice. II. Analysis of congenic backcrosses

1997 ◽  
Vol 70 (2) ◽  
pp. 125-133 ◽  
Author(s):  
KELLIE A. RANCE ◽  
SIMON C. HEATH ◽  
PETER D. KEIGHTLEY
Keyword(s):  
Body Weight ◽  
Quantitative Trait Loci ◽  
X Chromosome ◽  
Quantitative Trait ◽  
Phenotypic Information ◽  
Multipoint Linkage ◽  
Trait Loci ◽  
Males And Females ◽  
The Difference ◽  
Almost All

In a QTL mapping study with an F2 population of mice, we have shown that one or more sex-linked factors account for a large part of the divergence between mouse lines selected for high and low body weight. Here, we describe a study undertaken to map the putative X-linked quantitative trait loci (QTLs) by backcrossing segments of chromosome from the high line onto an inbred line derived from the low line, thereby removing possible contributions from the autosomes and linked segments of the X chromosome. Sublines containing a regional at the proximal end of the X chromosome were found to be associated with large differences in body weight, and to account for almost all the difference between the lines. A Markov chain Monte Carlo based multipoint linkage analysis incorporating the available marker and phenotypic information from the backcross pedigree was used to map the QTL to a region of about 6 cM. There was no evidence for QTLs elsewhere on the chromosome. The estimated QTL effect is approximately 20% of mean body weight in males and females at 10 weeks. From results obtained from this study and the accompanying F2 analysis, we conclude the presence of a single factor for body weight localizing to about position (±SE) 26·4±1·2 cM on the X chromosome, which increases body weight by approximately 18% at 10 weeks. A strategy to positionally clone the QTL is discussed.

scholarly journals Quantitative Trait Loci Affecting Body Weight and Fatness From a Mouse Line Selected for Extreme High Growth

Genetics ◽  
1998 ◽  
Vol 150 (1) ◽  
pp. 369-381 ◽  
Author(s):  
Gudrun A Brockmann ◽  
Chris S Haley ◽  
Ulla Renne ◽  
Sara A Knott ◽  
Manfred Schwerin
Keyword(s):  
Body Weight ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Abdominal Fat ◽  
Control Line ◽  
Phenotypic Variance ◽  
Chromosome 11 ◽  
Fat Percentage ◽  
Single Male ◽  
Trait Loci

Abstract Quantitative trait loci (QTL) influencing body weight were mapped by linkage analysis in crosses between a high body weight selected line (DU6) and a control line (DUKs). The two mouse lines differ in body weight by 106% and in abdominal fat weight by 100% at 42 days. They were generated from the same base population and maintained as outbred colonies. Determination of line-specific allele frequencies at microsatellite markers spanning the genome indicated significant changes between the lines on 15 autosomes and the X chromosome. To confirm these effects, a QTL analysis was performed using structured F2 pedigrees derived from crosses of a single male from DU6 with a female from DUKs. QTL significant at the genome-wide level were mapped for body weight on chromosome 11; for abdominal fat weight on chromosomes 4, 11, and 13; for abdominal fat percentage on chromosomes 3 and 4; and for the weights of liver on chromosomes 4 and 11, of kidney on chromosomes 2 and 9, and of spleen on chromosome 11. The strong effect on body weight of the QTL on chromosome 11 was confirmed in three independent pedigrees. The effect was additive and independent of sex, accounting for 21–35% of the phenotypic variance of body weight within the corresponding F2 populations. The test for multiple QTL onchromosome 11 with combined data from all pedigrees indicated the segregation of two loci separated by 36 cM influencing body weight.

Detection of quantitative trait loci for body weight at 10 weeks from Philippine wild mice

2000 ◽  
Vol 11 (10) ◽  
pp. 824-830 ◽  
Author(s):  
Akira Ishikawa ◽  
Yoichi Matsuda ◽  
Takao Namikawa
Keyword(s):  
Body Weight ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Wild Mice ◽  
Trait Loci

Quantitative trait loci mapping for biomass yield traits in a Lolium inbred line derived F2 population

Euphytica ◽  
2009 ◽  
Vol 170 (1-2) ◽  
pp. 99-107 ◽  
Author(s):  
U. C. M. Anhalt ◽  
J. S. Heslop-Harrison (Pat) ◽  
H. P. Piepho ◽  
S. Byrne ◽  
S. Barth
Keyword(s):  
Quantitative Trait Loci ◽  
Inbred Line ◽  
Quantitative Trait ◽  
Biomass Yield ◽  
Yield Traits ◽  
Quantitative Trait Loci Mapping ◽  
F2 Population ◽  
Trait Loci

A genome-wide scan for quantitative trait loci affecting serum glucose and lipids in a White Duroc × Erhualian intercross F2 population

2009 ◽  
Vol 20 (6) ◽  
pp. 386-392 ◽  
Author(s):  
Rongrong Chen ◽  
Jun Ren ◽  
Wanbo Li ◽  
Xiang Huang ◽  
Xueming Yan ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Serum Glucose ◽  
F2 Population ◽  
Genome Wide ◽  
A Genome ◽  
Trait Loci ◽  
Genome Wide Scan

scholarly journals Quantitative trait loci for lifespan of mated Drosophila melanogaster affect both sexes

2002 ◽  
Vol 80 (3) ◽  
pp. 225-230 ◽  
Author(s):  
SARAH G. REIWITCH ◽  
SERGEY V. NUZHDIN
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Recombinant Inbred Lines ◽  
Inbred Lines ◽  
Specific Effects ◽  
Genome Wide ◽  
Evolution Of Life ◽  
Trait Loci ◽  
Males And Females ◽  
Qtls Mapping

The properties of alleles at quantitative trait loci (QTLs) contributing to variation in lifespan should be described to determine the mechanisms of evolution of life length and to predict its future changes. Previously, we and others conducted genome-wide screens for QTLs that segregate among one panel of recombinant inbred lines (RILs) using a dense molecular marker map. In non-stressful conditions, QTLs effecting the lifespans of virgin females and males were frequently sex specific. In an unrelated panel of RILs, the effects of QTLs in flies maintained in cages with mixed sexes were similar in both sexes. Here, we re-measured the lifespans of the former panel of RILs in cages with mixed sex cohorts. Lifespan declined owing to mating. The amount of decline correlated between sexes within lines. QTLs mapping to the intervals 15A–19C, 50B–57C, 63A–65A, and 96F–99B had similar effects on the lifespans of both males and females. These QTLs have previously been detected in virgin flies surveys and had sex- and/or environment-specific effects.

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