Open Access Research article

Systems genetics analysis of body weight and energy metabolism traits in Drosophila melanogaster

Patricia Jumbo-Lucioni17, Julien F Ayroles23, Michelle Moses Chambers1, Katherine W Jordan23, Jeff Leips4, Trudy FC Mackay23* and Maria De Luca156*

Author Affiliations

1 Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL 35294-3360, USA

2 Department of Genetics, North Carolina State University, Raleigh, NC 27695, USA

3 W. M. Keck Center for Behavioral Biology, North Carolina State University, Raleigh, NC 27695, USA

4 Department of Biological Sciences, University of Maryland Baltimore County, Baltimore, MD 21250, USA

5 Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL 35294, USA

6 Diabetes Research Training Center, University of Alabama at Birmingham, Birmingham, AL 35294, USA

7 Current Address: Department of Human Genetics, Emory University, Atlanta, GA 30322, USA

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BMC Genomics 2010, 11:297  doi:10.1186/1471-2164-11-297

Published: 11 May 2010

Additional files

Additional file 1:

Quantitative genetic analyses of body weight and energy metabolism traits. This file includes estimates of variance components among 40 wild-derived inbred lines of D. melanogaster for the combined sex analyses.

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Additional file 2:

List of SFPs significantly correlated with body weight and energy metabolism traits in the analyses averaged across sexes (panel A) and stratified by sex (panel B). This file includes Affymetrix Probe identification number, FlyBase accession number and name of the gene tagged by the SFP, probe containing SFP, P-value from the ANOVA of the difference in trait means between the two SFP classes, minor allele frequency of the SFP, trait mean for lines with the common and minor alleles, and gene ontology information. SFPs included were significant at uncorrected P < 0.01. Genes detected by the two analyses are highlighted in gray in panel B.

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Additional file 3:

List of transcripts significantly correlated with body weight and energy metabolism traits. This file includes Affymetrix Probe identification number, FlyBase accession number and name of the gene transcript, P-value from the regression analyses, mean expression level, broad-sense heritability, and gene ontology information. Transcripts included were significant at uncorrected P < 0.01.

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Additional file 4:

Results of the screen of P-element insert lines for alterations in energy metabolites. This file shows the genes tagged by the P-elements, the P-element insertion sites, and P-values from analysis of covariance (total protein content being a covariate) comparing the mutant and control data across the sexes and stratified by sex.

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Additional file 5:

Modules of correlated transcripts associated with body weight and energy metabolism traits. This file shows the average correlation of a transcript with all other transcripts in its module (degree) and the average correlation of all transcripts in the module (average degree).

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Additional file 6:

Over-representation of Gene Ontology Categories, KEGG Pathways, and Keywords for transcripts associated with body weight and energy metabolism traits. This file shows the results of the over-representation analysis of transcript modules performed with EASE. Included are the number of genes in the annotation category (count), the number of genes in the annotation category/total number of significant genes (%), and the P value from a modified Fisher exact test for enrichment of genes in an annotation category. The file reports only results that survived Benjamini correction P-values of 0.05 or less.

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Additional file 7:

Modular pleiotropy between energy metabolism and life history traits. This file includes a list of modules of transcripts significantly overlapping between traits in this study and traits listed in [26], P value from a Fisher exact test, and pleiotropic genes.

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