Literature DB >> 28308374

Adaptive variation in energy acquisition and allocation among latitudinal populations of the Atlantic silverside.

J M Billerbeck1, E T Schultz2, D O Conover3.   

Abstract

Understanding the evolution of growth rate requires knowledge of the physiology of growth. This study explored the physiological basis of countergradient variation (CnGV) in somatic growth across latitudinal populations of the Atlantic silverside, Menidia menidia. Energetics of northern (Nova Scotia, Canada) and southern (South Carolina, USA) genotypes were compared across resource levels, temperatures, and fish sizes to identify trade-offs to rapid growth. Offered unlimited resources, genotypes differed in both energy acquisition and allocation. Food consumption, growth, and efficiency of northern genotypes were consistently higher than in southern genotypes, across temperatures and body sizes. Feeding metabolism (specific dynamic action; SDA) was proportional to meal size, differing between genotypes to the extent that food consumption differed. Given limited resources, northern and southern genotypes displayed similar growth, efficiency, routine activity, and SDA across temperatures and fish sizes. Routine metabolism was equal at 17°C and 22°C, yet was significantly higher in northern fish at 28°C. Growth rates in M. menidia do not appear to trade off across environments or body sizes, i.e., at no temperature, ration, or size do southern fish outgrow northern conspecifics. Nor does submaximal growth result from increased costs of maintenance, tissue synthesis, or routine activity. Based on our findings, we propose that CnGV consumption and growth in M. menidia likely result from trade-offs with other energetic components, namely sustained and burst swimming.

Entities:  

Keywords:  Energetics; Fish; Growth; Key words Countergradient variation; Life history

Year:  2000        PMID: 28308374     DOI: 10.1007/PL00008848

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  7 in total

1.  Mercury bioaccumulation increases with latitude in a coastal marine fish (Atlantic silverside, Menidia menidia).

Authors:  Zofia Baumann; Robert P Mason; David O Conover; Prentiss Balcom; Celia Y Chen; Kate L Buckman; Nicholas S Fisher; Hannes Baumann
Journal:  Can J Fish Aquat Sci       Date:  2016-11-30       Impact factor: 2.595

2.  Large genetic divergence underpins cryptic local adaptation across ecological and evolutionary gradients.

Authors:  Morgan M Sparks; Joshua C Kraft; Kliffi M S Blackstone; Gordon G McNickle; Mark R Christie
Journal:  Proc Biol Sci       Date:  2022-10-05       Impact factor: 5.530

3.  Geographic variation in the life history of the sagebrush lizard: the role of thermal constraints on activity.

Authors:  Michael W Sears
Journal:  Oecologia       Date:  2004-11-30       Impact factor: 3.225

4.  Coevolution of foraging behavior with intrinsic growth rate: risk-taking in naturally and artificially selected growth genotypes of Menidia menidia.

Authors:  Susumu Chiba; Stephen A Arnott; David O Conover
Journal:  Oecologia       Date:  2007-08-15       Impact factor: 3.225

5.  Contemporary temperature-driven divergence in a Nordic freshwater fish under conditions commonly thought to hinder adaptation.

Authors:  Kathryn D Kavanagh; Thrond O Haugen; Finn Gregersen; Jukka Jernvall; L Asbjørn Vøllestad
Journal:  BMC Evol Biol       Date:  2010-11-11       Impact factor: 3.260

6.  Body reserves mediate trade-offs between life-history traits: new insights from small pelagic fish reproduction.

Authors:  Pablo Brosset; Josep Lloret; Marta Muñoz; Christian Fauvel; Elisabeth Van Beveren; Virginie Marques; Jean-Marc Fromentin; Frédéric Ménard; Claire Saraux
Journal:  R Soc Open Sci       Date:  2016-10-05       Impact factor: 2.963

7.  Divergence in digestive and metabolic strategies matches habitat differentiation in juvenile salmonids.

Authors:  Gauthier Monnet; Jordan S Rosenfeld; Jeffrey G Richards
Journal:  Ecol Evol       Date:  2022-09-11       Impact factor: 3.167

  7 in total

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