Literature DB >> 19251997

Phenotypic flexibility of traits related to energy acquisition in mice divergently selected for basal metabolic rate (BMR).

Aneta Ksiazek1, Jan Czerniecki, Marek Konarzewski.   

Abstract

Theoretical considerations suggest that one of the main factors determining phenotypic flexibility of the digestive system is the size (mass) of internal organs. To test this, we used mice from two lines selected for high and low levels of basal metabolic rate (BMR). Mice with higher BMRs also have larger internal organs and higher daily food consumption (C) under non-stressful conditions. We exposed animals from both lines to a sudden cold exposure by transferring them (without prior acclimation) from an ambient temperature of 23 degrees C to 5 degrees C. Cold exposure elicited a twofold increase in C and a 25% reduction of apparent digestive efficiency. For the same body mass-corrected C, small intestine, kidneys, heart and liver of cold-exposed low-BMR mice were smaller than those of the high-BMR line. Therefore, the internal organs of low-BMR animals were burdened with substantially higher metabolic loads (defined as C or digestible food intake per total mass of a particular organ). The mass-specific activity of citrate synthase (CS) in the liver and kidneys (but not heart) was also lower in the low-BMR mice. The magnitude of phenotypic flexibility of internal organ size and CS activity was strictly proportional to the organ mass (in the case of kidneys and liver, also mass-specific CS activity) prior to an increased energy demand. Thus, phenotypic flexibility had additive rather than multiplicative dynamics. Our results also suggest that variation in BMR positively correlates with the magnitude of an immediate spare capacity that fuels the initial response of internal organs to a sudden metabolic stress.

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Year:  2009        PMID: 19251997     DOI: 10.1242/jeb.025528

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  11 in total

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Review 2.  Genetic approaches in comparative and evolutionary physiology.

Authors:  Jay F Storz; Jamie T Bridgham; Scott A Kelly; Theodore Garland
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2015-06-03       Impact factor: 3.619

Review 3.  How low can you go? An adaptive energetic framework for interpreting basal metabolic rate variation in endotherms.

Authors:  David L Swanson; Andrew E McKechnie; François Vézina
Journal:  J Comp Physiol B       Date:  2017-04-11       Impact factor: 2.200

4.  Basal metabolic rate is positively correlated with parental investment in laboratory mice.

Authors:  Julita Sadowska; Andrzej K Gębczyński; Marek Konarzewski
Journal:  Proc Biol Sci       Date:  2013-01-02       Impact factor: 5.349

5.  Phenotypic and evolutionary plasticity of body composition in rats selectively bred for high endurance capacity.

Authors:  J G Swallow; A K Wroblewska; R P Waters; K J Renner; S L Britton; L G Koch
Journal:  J Appl Physiol (1985)       Date:  2010-06-17

6.  Larger guts and faster growth in mice selected for high basal metabolic rate.

Authors:  Julita Sadowska; Andrzej K Gębczyński; Marek Konarzewski
Journal:  Biol Lett       Date:  2021-10-13       Impact factor: 3.812

7.  Coevolution of body size and metabolic rate in vertebrates: a life-history perspective.

Authors:  Jan Kozłowski; Marek Konarzewski; Marcin Czarnoleski
Journal:  Biol Rev Camb Philos Soc       Date:  2020-06-10

Review 8.  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

9.  Phenotypic flexibility of energetics in acclimated Siberian hamsters has a narrower scope in winter than in summer.

Authors:  Jan S Boratyński; Małgorzata Jefimow; Michał S Wojciechowski
Journal:  J Comp Physiol B       Date:  2016-01-23       Impact factor: 2.200

10.  Fluctuating selection on basal metabolic rate.

Authors:  Johan F Nilsson; Jan-Åke Nilsson
Journal:  Ecol Evol       Date:  2016-01-25       Impact factor: 2.912

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