Literature DB >> 15944354

Genomic mapping of direct and correlated responses to long-term selection for rapid growth rate in mice.

Mark F Allan1, Eugene J Eisen, Daniel Pomp.   

Abstract

Understanding the genetic architecture of traits such as growth, body composition, and energy balance has become a primary focus for biomedical and agricultural research. The objective of this study was to map QTL in a large F(2) (n = 1181) population resulting from an intercross between the M16 and ICR lines of mice. The M16 line, developed by long-term selection for 3- to 6-week weight gain, is larger, heavier, fatter, hyperphagic, and diabetic relative to its randomly selected control line of ICR origin. The F(2) population was phenotyped for growth and energy intake at weekly intervals from 4 to 8 weeks of age and for body composition and plasma levels of insulin, leptin, TNFalpha, IL6, and glucose at 8 weeks and was genotyped for 80 microsatellite markers. Since the F(2) was a cross between a selection line and its unselected control, the QTL identified likely represent genes that contributed to direct and correlated responses to long-term selection for rapid growth rate. Across all traits measured, 95 QTL were identified, likely representing 19 unique regions on 13 chromosomes. Four chromosomes (2, 6, 11, and 17) harbored loci contributing disproportionately to selection response. Several QTL demonstrating differential regulation of regional adipose deposition and age-dependent regulation of growth and energy consumption were identified.

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Year:  2005        PMID: 15944354      PMCID: PMC1449794          DOI: 10.1534/genetics.105.041319

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  54 in total

Review 1.  Genetic models of obesity and energy balance in the mouse.

Authors:  S W Robinson; D M Dinulescu; R D Cone
Journal:  Annu Rev Genet       Date:  2000       Impact factor: 16.830

2.  A large-sample QTL study in mice: I. Growth.

Authors:  Joao L Rocha; Eugene J Eisen; L Dale Van Vleck; Daniel Pomp
Journal:  Mamm Genome       Date:  2004-02       Impact factor: 2.957

3.  A large-sample QTL study in mice: III. Reproduction.

Authors:  Joao L Rocha; Eugene J Eisen; Frank Siewerdt; L Dale Van Vleck; Daniel Pomp
Journal:  Mamm Genome       Date:  2004-11       Impact factor: 2.957

4.  Quantitative trait loci affecting body weight and fatness from a mouse line selected for extreme high growth.

Authors:  G A Brockmann; C S Haley; U Renne; S A Knott; M Schwerin
Journal:  Genetics       Date:  1998-09       Impact factor: 4.562

5.  Fine mapping of a QTL region with large effects on growth and fatness on mouse chromosome 2.

Authors:  Nancy C Jerez-Timaure; Eugene J Eisen; Daniel Pomp
Journal:  Physiol Genomics       Date:  2005-03-15       Impact factor: 3.107

6.  Multiple obesity QTLs identified in an intercross between the NZO (New Zealand obese) and the SM (small) mouse strains.

Authors:  B A Taylor; C Wnek; D Schroeder; S J Phillips
Journal:  Mamm Genome       Date:  2001-02       Impact factor: 2.957

7.  Genetic architecture of adiposity in the cross of LG/J and SM/J inbred mice.

Authors:  J M Cheverud; T T Vaughn; L S Pletscher; A C Peripato; E S Adams; C F Erikson; K J King-Ellison
Journal:  Mamm Genome       Date:  2001-01       Impact factor: 2.957

8.  QTLs for pre- and postweaning body weight and body composition in selected mice.

Authors:  Gudrun A Brockmann; Ersin Karatayli; Chris S Haley; Ulla Renne; Oswald J Rottmann; Steffanie Karle
Journal:  Mamm Genome       Date:  2004-08       Impact factor: 2.957

9.  Effect of postweaning feed restriction on adipose cellularity and body compositon in polygenic obese mice.

Authors:  E J Eisen; J M Leatherwood
Journal:  J Nutr       Date:  1978-10       Impact factor: 4.798

10.  Adipose cellularity, serum glucose, insulin and cholesterol in polygenic obese mice fed high-fat or high-carbohydrate diets.

Authors:  B L Robeson; E J Eisen; J M Leatherwood
Journal:  Growth       Date:  1981
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  21 in total

1.  Fine mapping of "mini-muscle," a recessive mutation causing reduced hindlimb muscle mass in mice.

Authors:  John Hartmann; Theodore Garland; Robert M Hannon; Scott A Kelly; Gloria Muñoz; Daniel Pomp
Journal:  J Hered       Date:  2008-06-09       Impact factor: 2.645

2.  Dietary fat-dependent transcriptional architecture and copy number alterations associated with modifiers of mammary cancer metastasis.

Authors:  Ryan R Gordon; Michele La Merrill; Kent W Hunter; Peter Sørensen; David W Threadgill; Daniel Pomp
Journal:  Clin Exp Metastasis       Date:  2010-03-31       Impact factor: 5.150

3.  Genetic diversity of microsatellite loci in hierarchically structured populations.

Authors:  Seongho Song; Dipak K Dey; Kent E Holsinger
Journal:  Theor Popul Biol       Date:  2011-05-06       Impact factor: 1.570

4.  QTL underlying voluntary exercise in mice: interactions with the "mini muscle" locus and sex.

Authors:  Derrick L Nehrenberg; Shiliang Wang; Robert M Hannon; Theodore Garland; Daniel Pomp
Journal:  J Hered       Date:  2010 Jan-Feb       Impact factor: 2.645

5.  Exercise, weight loss, and changes in body composition in mice: phenotypic relationships and genetic architecture.

Authors:  Scott A Kelly; Derrick L Nehrenberg; Kunjie Hua; Theodore Garland; Daniel Pomp
Journal:  Physiol Genomics       Date:  2010-12-14       Impact factor: 3.107

6.  Genotype X diet interactions in mice predisposed to mammary cancer: II. Tumors and metastasis.

Authors:  Ryan R Gordon; Kent W Hunter; Michele La Merrill; Peter Sørensen; David W Threadgill; Daniel Pomp
Journal:  Mamm Genome       Date:  2008-02-21       Impact factor: 2.957

7.  Genotype X diet interactions in mice predisposed to mammary cancer. I. Body weight and fat.

Authors:  Ryan R Gordon; Kent W Hunter; Peter Sørensen; Daniel Pomp
Journal:  Mamm Genome       Date:  2008-02-20       Impact factor: 2.957

8.  Genetic regulation of hypothalamic cocaine and amphetamine-regulated transcript (CART) in BxD inbred mice.

Authors:  Ericka M Boone; Brian W Hawks; Wei Li; Steven J Garlow
Journal:  Brain Res       Date:  2007-12-14       Impact factor: 3.252

9.  Multi-tissue coexpression networks reveal unexpected subnetworks associated with disease.

Authors:  Radu Dobrin; Jun Zhu; Cliona Molony; Carmen Argman; Mark L Parrish; Sonia Carlson; Mark F Allan; Daniel Pomp; Eric E Schadt
Journal:  Genome Biol       Date:  2009-05-22       Impact factor: 13.583

10.  Inferring genetic architecture of complex traits using Bayesian integrative analysis of genome and transcriptome data.

Authors:  Alireza Ehsani; Peter Sørensen; Daniel Pomp; Mark Allan; Luc Janss
Journal:  BMC Genomics       Date:  2012-09-05       Impact factor: 3.969

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