Invariance and plasticity in the Drosophila melanogaster metabolomic network in response to temperature

BMC Systems Biology

Daniel E L Promislow¹  Dean P Jones⁵  Quinlyn A Soltow²  Ariel S Thomas³  Jessica M Hoffman⁶  Ramkumar Hariharan⁴ 

[1] Department of Biology, University of Washington, Seattle 98195, WA, USA;ClinMet Inc, 3210 Merryfield Row, San Diego 92121, CA, USA;Washington University School of Medicine, 660 S. Euclid Avenue, St. Louis 63108, MO, USA;Laboratory for Integrated Bioinformatics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Kanagawa, Japan;Department of Medicine, Clinical Biomarkers Laboratory, Emory University, Atlanta 30322, GA, USA;Department of Genetics, University of Georgia, Athens 30602, GA, USA

关键词: Differential coexpression;    Networks;    Metabolomics;    Temperature;    Drosophila melanogaster;   

Others  :  1091120
DOI  :  10.1186/s12918-014-0139-6

 received in 2014-08-19, accepted in 2014-12-11,  发布年份 2014

【 摘 要 】

Background

Metabolomic responses to extreme thermal stress have recently been investigated in Drosophila melanogaster. However, a network level understanding of metabolomic responses to longer and less drastic temperature changes, which more closely reflect variation in natural ambient temperatures experienced during development and adulthood, is currently lacking. Here we use high-resolution, non-targeted metabolomics to dissect metabolomic changes in D. melanogaster elicited by moderately cool (18°C) or warm (27°C) developmental and adult temperature exposures.

Results

We find that temperature at which larvae are reared has a dramatic effect on metabolomic network structure measured in adults. Using network analysis, we are able to identify modules that are highly differentially expressed in response to changing developmental temperature, as well as modules whose correlation structure is strongly preserved across temperature.

Conclusions

Our results suggest that the effect of temperature on the metabolome provides an easily studied and powerful model for understanding the forces that influence invariance and plasticity in biological networks.

【 授权许可】

   
2015 Hariharan et al.; licensee BioMed Central.

【 图 表 】

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