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Direct and correlated responses to artificial selection on lipid and glycogen contents in Drosophila melanogaster

Published online by Cambridge University Press:  14 April 2009

Andrew G. Clark ,
Frances M. Szumski ,
Karen A. Bell ,
Lisa Esterling Keith ,
Sharyn Houtz  and
D. Andrew Merriwether
Andrew G. Clark*
Affiliation:
Department of Biology and Genetics Program, 208 Mueller Laboratory, Pennsylvania State University, University Park, PA 16802
Frances M. Szumski
Affiliation:
Department of Biology and Genetics Program, 208 Mueller Laboratory, Pennsylvania State University, University Park, PA 16802
Karen A. Bell
Affiliation:
Department of Biology and Genetics Program, 208 Mueller Laboratory, Pennsylvania State University, University Park, PA 16802
Lisa Esterling Keith
Affiliation:
Department of Biology and Genetics Program, 208 Mueller Laboratory, Pennsylvania State University, University Park, PA 16802
Sharyn Houtz
Affiliation:
Department of Biology and Genetics Program, 208 Mueller Laboratory, Pennsylvania State University, University Park, PA 16802
D. Andrew Merriwether
Affiliation:
Department of Biology and Genetics Program, 208 Mueller Laboratory, Pennsylvania State University, University Park, PA 16802
*
Dr Andrew G. Clark.

Summary

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A large outbred population of Drosophila melanogaster was subjected to artificial selection on lipid and glycogen storage. In three separate experiments, two replicates underwent sib selection for both increased and decreased storage. In the first study, flies were selected on the basis of total triacylglycerol for ten generations. This experiment resulted in no significant direct response, but there was a significant change in total body weight, underscoring the importance of concern for the allometric relationship between body weight and lipid content. In the second study, selection was performed for 15 generations on the percentage of body composition that was triacylglycerol. A significant direct response was obtained, and the two replicates revealed heritability estimates of 0·40 and 0·43. The third study selected glycogen content for 15 generations, and produced a significant response with heritabilities of 0·25 and 0·31. A series of 12 biochemical and enzyme kinetic traits was examined at five generation intervals in all experiments, and a number of correlated responses were detected. The results are interpreted with respect to the evolutionary constraints on energy storage evolution and the genetic basis of the allometric relationship between body weight and fat content.

Type
Research Article
Information
Genetics Research , Volume 56 , Issue 1 , August 1990 , pp. 49 - 56
Copyright
Copyright © Cambridge University Press 1990

References

Asante, E. A., Hill, W. G. & Bulfield, G. (1989). Analysis of lines of mice selected for fat content. 1. Correlated responses in the activities of NADPH-generating enzymes. Genetical Research 54, 155–160.CrossRefGoogle ScholarPubMed
Bailey, D. R. C., Salmon, R. K., Berg, R. T. & Fredeen, H. T. (1988). Growth and body composition of mice selected for high body weight. Genome 30, 570–575.CrossRefGoogle ScholarPubMed
Barthelmess, I. B. & Robertson, F. W. (1970). The quantitative relations between variation in red eye pigment and related pteridine compounds in Drosophila melanogaster. Genetical Research 15, 65–86.Google Scholar
Becker, W. A. (1984). Manual of Quantitative Genetics, 4th edn.Pullman, Washington, USA: Academic Enterprises.Google Scholar
Bucolo, G. & David, H. (1973). Quantitative determination of serum triglycerides by the use of enzymes. Clinical Chemistry 19, 476.CrossRefGoogle ScholarPubMed
Clark, A. G. (1989). Causes and consequences of variation in energy storage in Drosophila melanogaster. Genetics 123, 131–144.CrossRefGoogle ScholarPubMed
Clark, A. G. (1990). Genetic components of variation in energy storage in Drosophila melanogaster. Evolution (in the press).Google Scholar
Clark, A. G. & Doane, W. W. (1983). Desiccation tolerance of the adipose-60 mutant of D. melanogaster. Hereditas 99, 165–175.Google Scholar
Clark, A. G. & Keith, L. E. (1988). Variation among extracted lines of Drosophila melanogaster in triacylglycerol and carbohydrate storage. Genetics 119, 595–607.Google Scholar
Clark, A. G. & Keith, L. E. (1989). Rapid enzyme kinetic assays of individual Drosophila and comparisons of field-caught D. melanogaster and D. simulans. Biochemical Genetics 27, 263–277.CrossRefGoogle ScholarPubMed
Darden, J. R. & Marks, H. L. (1988). Divergent selection for growth in Japanese quail under split and complete nutritional environments. 2. Water and feed intake patterns and abdominal fat and carcass lipid characteristics. Poultry Science 67, 1111–1122.CrossRefGoogle ScholarPubMed
Davignon, J., Greeg, R. E. & Sing, C. F. (1988). Apolipoprotein E polymorphism and atherosclerosis. Arteriosclerosis 8, 1–21.CrossRefGoogle ScholarPubMed
Eisen, E. J. & Prasetyo, H. (1988). Estimates of genetic parameters and predicted selection responses for growth, fat and lean traits in mice. Journal of Animal Science 66, 1153–1165.CrossRefGoogle ScholarPubMed
Falconer, D. S. (1981). Introduction to Quantitative Genetics, 2nd edn.New York: Longman.Google Scholar
Hastings, I. M. & Hill, W. G. (1990). Analysis of lines of mice selected for fat content. 2. Correlated responses in the activities of enzymes involved in lipogenesis. Genetical Research 55, 55–61.CrossRefGoogle ScholarPubMed
Heinrich, R. & Rapoport, S. M. (1983). The utility of mathematical models for the understanding of metabolic systems. Biochemical Society Transactions 11, 31–35.CrossRefGoogle ScholarPubMed
Hill, W. G. (1971). Design and efficiency of selection experiments for estimating genetic parameters. Biometrics 27, 293–311.Google Scholar
Hill, W. G. (1972). Estimation of realized heritabilities from selection experiments. I. Divergent selection. Biometrics 28, 747–765.CrossRefGoogle Scholar
Kacser, H. & Burns, J. A. (1973). The control of flux. Symposium of the Society of Experimental Biology 27, 65–104.Google Scholar
Kacser, H. & Burns, J. A. (1979). Molecular democracy: who shares the controls? Biochemical Society Transactions 7, 1149–1160.Google Scholar
Kacser, H. & Burns, J. A. (1981). The molecular basis of dominance. Genetics 97, 639–666.Google Scholar
Laurie-Ahlberg, C. C., Wilton, A. N., Curtsinger, J. W. & Emigh, T. H. (1982). Naturally occurring enzyme activity variation in Drosophila melanogaster. I. Sources of variation for 23 enzymes. Genetics 102, 191–206.CrossRefGoogle ScholarPubMed
Leenstra, F. R. (1988). Fat deposition in a broiler sire strain. 5. Comparisons of economic efficiency of direct and indirect selection against fatness. Poultry Science 67, 16–24.CrossRefGoogle Scholar
Leenstra, F. R. & Pit, R. (1988). Fat deposition in a broiler sire strain. 4. Performance of broiler progeny of four differently selected sire lines. Poultry Science 67, 10–15.CrossRefGoogle Scholar
McKnight, B. J. & Goddard, C. (1989). The effect of food restriction on circulating insulin-like growth factor I in mice divergently selected for high or low protein or fat to body mass ratios. Comparative Biochemistry and Physiology 92, 565–569.CrossRefGoogle ScholarPubMed
Miyashita, N. & Laurie-Ahlberg, C. C. (1984). Genetical analysis of chromosomal interaction effects on the activities of the glucose-6-phosphate and 6-phospho-gluconate dehydrogenases in Drosophila melanogaster. Genetics 106, 655–668.CrossRefGoogle Scholar
Miyashita, N. & Laurie-Ahlberg, C. C. (1986). Developmental variation in effects of the second and third chromosomes on the activities of the glucose-6-phosphate and 6-phosphogluconate dehydrogenases in Drosophila melanogaster. Biochemical Genetics 24, 447–467.Google Scholar
Watt, W. B., Cassin, R. C. & Swan, M. S. (1983). Adaptation at specific loci. III. Field behavior and survivorship differences among Colias PGI genotypes are predictable from in vitro biochemistry. Genetics 103, 725–739.CrossRefGoogle ScholarPubMed
Wilton, A. N., Laurie-Ahlberg, C. C., Emigh, T. H. & Curtsinger, J. W. (1982). Naturally occurring enzyme activity variation in Drosophila melanogaster. II. Relationship among enzymes. Genetics 102, 207–221.CrossRefGoogle ScholarPubMed