Literature DB >> 17248909

Quantitative Genetic Analysis of Temperature Regulation in MUS MUSCULUS. I. Partitioning of Variance.

R C Lacy1, C B Lynch.   

Abstract

Heritabilities (from parent-offspring regression) and intraclass correlations of full sibs for a variety of traits were estimated from 225 litters of a heterogeneous stock (HS/Ibg) of laboratory mice. Initial variance partitioning suggested different adaptive functions for physiological, morphological and behavioral adjustments with respect to their thermoregulatory significance. Metabolic heat-production mechanisms appear to have reached their genetic limits, with little additive genetic variance remaining. This study provided no genetic evidence that body size has a close directional association with fitness in cold environments, since heritability estimates for weight gain and adult weight were similar and high, whether or not the animals were exposed to cold. Behavioral heat conservation mechanisms also displayed considerable amounts of genetic variability. However, due to strong evidence from numerous other studies that behavior serves an important adaptive role for temperature regulation in small mammals, we suggest that fluctuating selection pressures may have acted to maintain heritable variation in these traits.

Entities:  

Year:  1979        PMID: 17248909      PMCID: PMC1216863     

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


  1 in total

1.  Genetic differences influencing behavioral temperature regulation in small mammals. I. Nesting by Mus musculus.

Authors:  C B Lynch; J P Hegmann
Journal:  Behav Genet       Date:  1972-03       Impact factor: 2.805

  1 in total
  11 in total

1.  The quantitative genetics of maximal and basal rates of oxygen consumption in mice.

Authors:  M R Dohm; J P Hayes; T Garland
Journal:  Genetics       Date:  2001-09       Impact factor: 4.562

2.  Genetic variances and covariances of aerobic metabolic rates in laboratory mice.

Authors:  Bernard Wone; Michael W Sears; Marta K Labocha; Edward R Donovan; Jack P Hayes
Journal:  Proc Biol Sci       Date:  2009-08-05       Impact factor: 5.349

3.  Multiple selection responses in house mice bidirectionally selected for thermoregulatory nest-building behavior: crosses of replicate lines.

Authors:  A Bult; C B Lynch
Journal:  Behav Genet       Date:  1996-07       Impact factor: 2.805

Review 4.  Determinants of inter-specific variation in basal metabolic rate.

Authors:  Craig R White; Michael R Kearney
Journal:  J Comp Physiol B       Date:  2012-09-23       Impact factor: 2.200

5.  Response to divergent selection for nesting behavior in Mus musculus.

Authors:  C B Lynch
Journal:  Genetics       Date:  1980-11       Impact factor: 4.562

6.  Classical genetic analysis of circadian body temperature rhythms in mice.

Authors:  M S Connolly; C B Lynch
Journal:  Behav Genet       Date:  1983-09       Impact factor: 2.805

7.  Genetic correlation between two types of nesting in Mus musculus: direct and indirect selection.

Authors:  C B Lynch
Journal:  Behav Genet       Date:  1981-05       Impact factor: 2.805

Review 8.  The biological control of voluntary exercise, spontaneous physical activity and daily energy expenditure in relation to obesity: human and rodent perspectives.

Authors:  Theodore Garland; Heidi Schutz; Mark A Chappell; Brooke K Keeney; Thomas H Meek; Lynn E Copes; Wendy Acosta; Clemens Drenowatz; Robert C Maciel; Gertjan van Dijk; Catherine M Kotz; Joey C Eisenmann
Journal:  J Exp Biol       Date:  2011-01-15       Impact factor: 3.312

9.  Genetic modulation of energy metabolism in birds through mitochondrial function.

Authors:  B Irene Tieleman; Maaike A Versteegh; Anthony Fries; Barbara Helm; Niels J Dingemanse; H Lisle Gibbs; Joseph B Williams
Journal:  Proc Biol Sci       Date:  2009-02-25       Impact factor: 5.349

Review 10.  Determinants of intra-specific variation in basal metabolic rate.

Authors:  Marek Konarzewski; Aneta Książek
Journal:  J Comp Physiol B       Date:  2012-07-31       Impact factor: 2.200

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