Literature DB >> 20385784

Genotype-by-diet interactions drive metabolic phenotype variation in Drosophila melanogaster.

Laura K Reed1, Stephanie Williams, Mastafa Springston, Julie Brown, Kenda Freeman, Christie E DesRoches, Marla B Sokolowski, Greg Gibson.   

Abstract

The rising prevalence of complex disease suggests that alterations to the human environment are increasing the proportion of individuals who exceed a threshold of liability. This might be due either to a global shift in the population mean of underlying contributing traits, or to increased variance of such underlying endophenotypes (such as body weight). To contrast these quantitative genetic mechanisms with respect to weight gain, we have quantified the effect of dietary perturbation on metabolic traits in 146 inbred lines of Drosophila melanogaster and show that genotype-by-diet interactions are pervasive. For several metabolic traits, genotype-by-diet interactions account for far more variance (between 12 and 17%) than diet alone (1-2%), and in some cases have as large an effect as genetics alone (11-23%). Substantial dew point effects were also observed. Larval foraging behavior was found to be a quantitative trait exhibiting significant genetic variation for path length (P = 0.0004). Metabolic and fitness traits exhibited a complex correlation structure, and there was evidence of selection minimizing weight under laboratory conditions. In addition, a high fat diet significantly increases population variance in metabolic phenotypes, suggesting decreased robustness in the face of dietary perturbation. Changes in metabolic trait mean and variance in response to diet indicates that shifts in both population mean and variance in underlying traits could contribute to increases in complex disease.

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Year:  2010        PMID: 20385784      PMCID: PMC2907188          DOI: 10.1534/genetics.109.113571

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


  34 in total

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Authors:  Karla R Kaun; Munmun Chakaborty-Chatterjee; Marla B Sokolowski
Journal:  J Exp Biol       Date:  2008-10       Impact factor: 3.312

2.  Natural variation in food acquisition mediated via a Drosophila cGMP-dependent protein kinase.

Authors:  Karla R Kaun; Craig A L Riedl; Munmun Chakaborty-Chatterjee; Amsale T Belay; Scott J Douglas; Allen G Gibbs; Marla B Sokolowski
Journal:  J Exp Biol       Date:  2007-10       Impact factor: 3.312

Review 3.  Metabolic syndrome--a new world-wide definition. A Consensus Statement from the International Diabetes Federation.

Authors:  K G M M Alberti; P Zimmet; J Shaw
Journal:  Diabet Med       Date:  2006-05       Impact factor: 4.359

Review 4.  Natural selection and the heritability of fitness components.

Authors:  T A Mousseau; D A Roff
Journal:  Heredity (Edinb)       Date:  1987-10       Impact factor: 3.821

5.  Cardiovascular morbidity and mortality associated with the metabolic syndrome.

Authors:  B Isomaa; P Almgren; T Tuomi; B Forsén; K Lahti; M Nissén; M R Taskinen; L Groop
Journal:  Diabetes Care       Date:  2001-04       Impact factor: 19.112

6.  ADIPOQ polymorphisms, monounsaturated fatty acids, and obesity risk: the GOLDN study.

Authors:  Daruneewan Warodomwichit; Jian Shen; Donna K Arnett; Michael Y Tsai; Edmond K Kabagambe; James M Peacock; James E Hixson; Robert J Straka; Michael A Province; Ping An; Chao-Qiang Lai; Laurence D Parnell; Ingrid B Borecki; Jose M Ordovas
Journal:  Obesity (Silver Spring)       Date:  2008-12-18       Impact factor: 5.002

7.  APOA2, dietary fat, and body mass index: replication of a gene-diet interaction in 3 independent populations.

Authors:  Dolores Corella; Gina Peloso; Donna K Arnett; Serkalem Demissie; L Adrienne Cupples; Katherine Tucker; Chao-Qiang Lai; Laurence D Parnell; Oscar Coltell; Yu-Chi Lee; Jose M Ordovas
Journal:  Arch Intern Med       Date:  2009-11-09

8.  Physiological genetics of the response to a high-sucrose diet by Drosophila melanogaster.

Authors:  L Wang; A G Clark
Journal:  Biochem Genet       Date:  1995-06       Impact factor: 1.890

9.  Natural behavior polymorphism due to a cGMP-dependent protein kinase of Drosophila.

Authors:  K A Osborne; A Robichon; E Burgess; S Butland; R A Shaw; A Coulthard; H S Pereira; R J Greenspan; M B Sokolowski
Journal:  Science       Date:  1997-08-08       Impact factor: 47.728

10.  Mapping quantitative trait loci affecting variation in Drosophila triacylglycerol storage.

Authors:  Maria De Luca; Nengjun Yi; David B Allison; Jeff Leips; Douglas M Ruden
Journal:  Obes Res       Date:  2005-09
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  39 in total

Review 1.  Genotype to phenotype: Diet-by-mitochondrial DNA haplotype interactions drive metabolic flexibility and organismal fitness.

Authors:  Wen C Aw; Samuel G Towarnicki; Richard G Melvin; Neil A Youngson; Michael R Garvin; Yifang Hu; Shaun Nielsen; Torsten Thomas; Russell Pickford; Sonia Bustamante; Antón Vila-Sanjurjo; Gordon K Smyth; J William O Ballard
Journal:  PLoS Genet       Date:  2018-11-06       Impact factor: 5.917

2.  Measuring Exercise Levels in Drosophila melanogaster Using the Rotating Exercise Quantification System (REQS).

Authors:  Louis P Watanabe; Nicole C Riddle
Journal:  J Vis Exp       Date:  2018-05-27       Impact factor: 1.355

3.  Genetic Dissection of Nutrition-Induced Plasticity in Insulin/Insulin-Like Growth Factor Signaling and Median Life Span in a Drosophila Multiparent Population.

Authors:  Patrick D Stanley; Enoch Ng'oma; Siri O'Day; Elizabeth G King
Journal:  Genetics       Date:  2017-06       Impact factor: 4.562

Review 4.  Methods for studying metabolism in Drosophila.

Authors:  Jason M Tennessen; William E Barry; James Cox; Carl S Thummel
Journal:  Methods       Date:  2014-03-12       Impact factor: 3.608

5.  Eigenvector metabolite analysis reveals dietary effects on the association among metabolite correlation patterns, gene expression, and phenotypes.

Authors:  Clare H Scott Chialvo; Ronglin Che; David Reif; Alison Motsinger-Reif; Laura K Reed
Journal:  Metabolomics       Date:  2016-09-20       Impact factor: 4.290

6.  Genetic and Genomic Response to Selection for Food Consumption in Drosophila melanogaster.

Authors:  Megan E Garlapow; Logan J Everett; Shanshan Zhou; Alexander W Gearhart; Kairsten A Fay; Wen Huang; Tatiana V Morozova; Gunjan H Arya; Lavanya Turlapati; Genevieve St Armour; Yasmeen N Hussain; Sarah E McAdams; Sophia Fochler; Trudy F C Mackay
Journal:  Behav Genet       Date:  2016-10-05       Impact factor: 2.805

7.  A Multivariate Genome-Wide Association Study of Wing Shape in Drosophila melanogaster.

Authors:  William Pitchers; Jessica Nye; Eladio J Márquez; Alycia Kowalski; Ian Dworkin; David Houle
Journal:  Genetics       Date:  2019-02-21       Impact factor: 4.562

8.  Role of fat body lipogenesis in protection against the effects of caloric overload in Drosophila.

Authors:  Laura Palanker Musselman; Jill L Fink; Prasanna Venkatesh Ramachandran; Bruce W Patterson; Adewole L Okunade; Ezekiel Maier; Michael R Brent; John Turk; Thomas J Baranski
Journal:  J Biol Chem       Date:  2013-01-25       Impact factor: 5.157

9.  CoA protects against the deleterious effects of caloric overload in Drosophila.

Authors:  Laura Palanker Musselman; Jill L Fink; Thomas J Baranski
Journal:  J Lipid Res       Date:  2016-01-24       Impact factor: 5.922

10.  Genotype-by-sex-by-diet interactions for nutritional preference, dietary consumption, and lipid deposition in a field cricket.

Authors:  James Rapkin; Kim Jensen; Clarissa M House; Alastair J Wilson; John Hunt
Journal:  Heredity (Edinb)       Date:  2018-08-08       Impact factor: 3.821

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