Literature DB >> 24408509

Body composition and energetic efficiency in two lines of mice selected for rapid growth rate and their F1 crosses.

E J Eisen1, H Bakker, J Nagai.   

Abstract

Correlated responses to selection for increased growth rate were compared in two mouse populations (M16 and H6) of distinct genetic origin. Traits studied were body composition, feed intake, constituent gains and energetic efficiency. When compared with their respective controls (ICR and C2) at 6 and 9 weeks of age, body weight increased more in M16 (57%and 69 % of the control mean) than in H6 (40 % and 34%). The M16 showed correlated responses in fat percent of 2.6% (P <.05), 8.4% (P <.01) and 11.2% (P <.01) at 3, 6 and 9 weeks, respectively, whereas corresponding values in H6 were -2.4% (P <.05), 3.3% (P <.05) and 2.09 % (P >.05). The correlated responses in fat percent were 2.7 and 4.7 times higher in M16 than H6 at 6 and 9 weeks. The regression of ln fat weight on ln empty body weight was larger in M16 (P <.05) compared to ICR and larger (P <.01) in H6 compared to C2. Both M16 and H8 exhibited positive correlated responses from 3 to 6 weeks of age in feed intake and gain and efficiency in fat, protein, calories and ash; fat and caloric gain and efficiency exhibited higher correlated responses in M16 than H6. During the 6- to 9-week interval, the M16 population continued to evince positive correlated responses in gains and efficiencies of fat, protein and calories, whereas H6 did not. Several possible explanations are presented to account for the differences in correlated responses between the selected populations. Partitioning of correlated response differences between M16 and H6 into average direct and average maternal genetic effects indicated that average direct genetic effects, favoring M16, were responsible for the major difference between the selected populations. Direct heterosis in F1 crosses of the selected populations were generally not significant, although there was a tendency for fat percent and fat weight to show heterosis.

Entities:  

Year:  1977        PMID: 24408509     DOI: 10.1007/BF00304819

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  19 in total

1.  The effects of selection at different ages for high and low body weight on the pattern of fat deposition in mice.

Authors:  J F Hayes; J C McCarthy
Journal:  Genet Res       Date:  1976-06       Impact factor: 1.588

2.  Average genetic and heterotic effects on growth in mice selected for large 6-week body weight or rapid postweaning gain.

Authors:  H Bakker; J Nagai; E J Eisen
Journal:  J Anim Sci       Date:  1976-12       Impact factor: 3.159

3.  Effects of early pregnancy in growth, body composition and efficiency in mice.

Authors:  E J Eisen; J M Leatherwood
Journal:  J Anim Sci       Date:  1976-01       Impact factor: 3.159

4.  Partitioning average and heterotic components of direct and maternal genetic effects on growth in mice using crossfostering techniques.

Authors:  J Nagai; H Bakker; E J Eisen
Journal:  Genetics       Date:  1976-09       Impact factor: 4.562

5.  Sexual dimorphism and direct and maternal genetic effects on body weight in mice.

Authors:  J P Hanrahan; E J Eisen
Journal:  Theor Appl Genet       Date:  1973-01       Impact factor: 5.699

6.  Selection for growth rate, feed efficiency and body composition in mice.

Authors:  T M Sutherland; P E Biondini; G M Ward
Journal:  Genetics       Date:  1974-09       Impact factor: 4.562

7.  Replicated selection for body weight in mice.

Authors:  D S Falconer
Journal:  Genet Res       Date:  1973-12       Impact factor: 1.588

8.  Body fat and fatty acid synthesis in five lines of mice selected for growth rate.

Authors:  D R Romsos; G A Leveille
Journal:  Proc Soc Exp Biol Med       Date:  1974-02

9.  An experimental evaluation of genetic correlation.

Authors:  J J Rutledge; E J Eisen; J E Legates
Journal:  Genetics       Date:  1973-12       Impact factor: 4.562

10.  Rate, composition and efficiency of growth in mice selected for large and small body weight.

Authors:  B J Lang; J E Legates
Journal:  Theor Appl Genet       Date:  1969-01       Impact factor: 5.699

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  9 in total

1.  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

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

Authors:  Mark F Allan; Eugene J Eisen; Daniel Pomp
Journal:  Genetics       Date:  2005-06-08       Impact factor: 4.562

3.  Direct and maternal genetic effects on body weight maturing patterns in mice.

Authors:  W R Williams; E J Eisen; J Nagai; H Bakker
Journal:  Theor Appl Genet       Date:  1978-09       Impact factor: 5.699

4.  Environmental maternal influences on body composition in mice selected for body weight.

Authors:  J F Hayes; E J Eisen
Journal:  Theor Appl Genet       Date:  1979-09       Impact factor: 5.699

5.  Growth, feed efficiency and lifetime performance of crosses between lines selected for nursing ability and/or adult weight in mice.

Authors:  J Nagai; D L Harris; A J McAllister
Journal:  Theor Appl Genet       Date:  1980-07       Impact factor: 5.699

6.  Selection for components related to body composition in mice: direct responses.

Authors:  E J Eisen
Journal:  Theor Appl Genet       Date:  1987-10       Impact factor: 5.699

7.  Rates of depletion of linoleic acid from fat depots of selected lines of mice differing in growth rate and adiposity.

Authors:  E J Eisen; A L Cartwright; K M Weller; K J Smith
Journal:  Lipids       Date:  1982-03       Impact factor: 1.880

8.  Trans-10, cis-12-conjugated linoleic acid alters hepatic gene expression in a polygenic obese line of mice displaying hepatic lipidosis.

Authors:  Melissa S Ashwell; Ryan P Ceddia; Ralph L House; Joseph P Cassady; Eugene J Eisen; Thomas E Eling; Jennifer B Collins; Sherry F Grissom; Jack Odle
Journal:  J Nutr Biochem       Date:  2009-10-03       Impact factor: 6.048

9.  Body composition and gene expression QTL mapping in mice reveals imprinting and interaction effects.

Authors:  Ye Cheng; Satyanarayana Rachagani; Angela Cánovas; Mary Sue Mayes; Richard G Tait; Jack C M Dekkers; James M Reecy
Journal:  BMC Genet       Date:  2013-10-29       Impact factor: 2.797

  9 in total

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