Literature DB >> 23571708

Metabolomic analysis of the selection response of Drosophila melanogaster to environmental stress: are there links to gene expression and phenotypic traits?

Anders Malmendal1, Jesper Givskov Sørensen, Johannes Overgaard, Martin Holmstrup, Niels Chr Nielsen, Volker Loeschcke.   

Abstract

We investigated the global metabolite response to artificial selection for tolerance to stressful conditions such as cold, heat, starvation, and desiccation, and for longevity in Drosophila melanogaster. Our findings were compared to data from other levels of biological organization, including gene expression, physiological traits, and organismal stress tolerance phenotype. Overall, we found that selection for environmental stress tolerance changes the metabolomic (1)H NMR fingerprint largely in a similar manner independent of the trait selected for, indicating that experimental evolution led to a general stress selection response at the metabolomic level. Integrative analyses across data sets showed little similarity when general correlations between selection effects at the level of the metabolome and gene expression were compared. This is likely due to the fact that the changes caused by these selection regimes were rather mild and/or that the dominating determinants for gene expression and metabolite levels were different. However, expression of a number of genes was correlated with the metabolite data. Many of the identified genes were general stress response genes that are down-regulated in response to selection for some of the stresses in this study. Overall, the results illustrate that selection markedly alters the metabolite profile and that the coupling between different levels of biological organization indeed is present though not very strong for stress selection at this level. The results highlight the extreme complexity of environmental stress adaptation and the difficulty of extrapolating and interpreting responses across levels of biological organization.

Entities:  

Mesh:

Year:  2013        PMID: 23571708     DOI: 10.1007/s00114-013-1040-7

Source DB:  PubMed          Journal:  Naturwissenschaften        ISSN: 0028-1042


  32 in total

1.  Maternal and grandmaternal age influence offspring fitness in Drosophila.

Authors:  M J Hercus; A A Hoffmann
Journal:  Proc Biol Sci       Date:  2000-10-22       Impact factor: 5.349

Review 2.  Microbial experimental evolution.

Authors:  Albert F Bennett; Bradley S Hughes
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2009-04-29       Impact factor: 3.619

3.  In vivo functions of the Saccharomyces cerevisiae Hsp90 chaperone.

Authors:  D F Nathan; M H Vos; S Lindquist
Journal:  Proc Natl Acad Sci U S A       Date:  1997-11-25       Impact factor: 11.205

4.  Elucidation of gene-to-gene and metabolite-to-gene networks in arabidopsis by integration of metabolomics and transcriptomics.

Authors:  Masami Yokota Hirai; Marion Klein; Yuuta Fujikawa; Mitsuru Yano; Dayan B Goodenowe; Yasuyo Yamazaki; Shigehiko Kanaya; Yukiko Nakamura; Masahiko Kitayama; Hideyuki Suzuki; Nozomu Sakurai; Daisuke Shibata; Jim Tokuhisa; Michael Reichelt; Jonathan Gershenzon; Jutta Papenbrock; Kazuki Saito
Journal:  J Biol Chem       Date:  2005-05-02       Impact factor: 5.157

5.  The heat shock protein 83 (Hsp83) is required for Raf-mediated signalling in Drosophila.

Authors:  A van der Straten; C Rommel; B Dickson; E Hafen
Journal:  EMBO J       Date:  1997-04-15       Impact factor: 11.598

6.  ACCLIMATION, CROSS-GENERATION EFFECTS, AND THE RESPONSE TO SELECTION FOR INCREASED COLD RESISTANCE IN DROSOPHILA.

Authors:  Marcus J O Watson; Ary A Hoffmann
Journal:  Evolution       Date:  1996-06       Impact factor: 3.694

7.  Metabolomic profiling of heat stress: hardening and recovery of homeostasis in Drosophila.

Authors:  Anders Malmendal; Johannes Overgaard; Jacob G Bundy; Jesper G Sørensen; Niels Chr Nielsen; Volker Loeschcke; Martin Holmstrup
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2006-02-09       Impact factor: 3.619

8.  Candidate genes detected in transcriptome studies are strongly dependent on genetic background.

Authors:  Pernille Sarup; Jesper G Sørensen; Torsten N Kristensen; Ary A Hoffmann; Volker Loeschcke; Ken N Paige; Peter Sørensen
Journal:  PLoS One       Date:  2011-01-25       Impact factor: 3.240

9.  Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae.

Authors:  Patrick H Bradley; Matthew J Brauer; Joshua D Rabinowitz; Olga G Troyanskaya
Journal:  PLoS Comput Biol       Date:  2009-01-30       Impact factor: 4.475

10.  Perceiving molecular evolution processes in Escherichia coli by comprehensive metabolite and gene expression profiling.

Authors:  Chandran Vijayendran; Aiko Barsch; Karl Friehs; Karsten Niehaus; Anke Becker; Erwin Flaschel
Journal:  Genome Biol       Date:  2008-04-10       Impact factor: 13.583

View more
  12 in total

Review 1.  Metabolomic Studies in Drosophila.

Authors:  James E Cox; Carl S Thummel; Jason M Tennessen
Journal:  Genetics       Date:  2017-07       Impact factor: 4.562

Review 2.  New views on the selection acting on genetic polymorphism in central metabolic genes.

Authors:  Walter F Eanes
Journal:  Ann N Y Acad Sci       Date:  2016-11-10       Impact factor: 5.691

3.  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

4.  Cold adaptation shapes the robustness of metabolic networks in Drosophila melanogaster.

Authors:  Caroline M Williams; Miki Watanabe; Mario R Guarracino; Maria B Ferraro; Arthur S Edison; Theodore J Morgan; Arezue F B Boroujerdi; Daniel A Hahn
Journal:  Evolution       Date:  2014-11-20       Impact factor: 3.694

5.  Prediction of complex phenotypes using the Drosophila melanogaster metabolome.

Authors:  Palle Duun Rohde; Torsten Nygaard Kristensen; Pernille Sarup; Joaquin Muñoz; Anders Malmendal
Journal:  Heredity (Edinb)       Date:  2021-01-28       Impact factor: 3.821

6.  Mapping an atlas of tissue-specific Drosophila melanogaster metabolomes by high resolution mass spectrometry.

Authors:  Venkateswara R Chintapalli; Mohammed Al Bratty; Dominika Korzekwa; David G Watson; Julian A T Dow
Journal:  PLoS One       Date:  2013-10-29       Impact factor: 3.240

7.  ¹³C NMR metabolomics: applications at natural abundance.

Authors:  Chaevien S Clendinen; Brittany Lee-McMullen; Caroline M Williams; Gregory S Stupp; Krista Vandenborne; Daniel A Hahn; Glenn A Walter; Arthur S Edison
Journal:  Anal Chem       Date:  2014-08-29       Impact factor: 6.986

Review 8.  Entometabolomics: applications of modern analytical techniques to insect studies.

Authors:  Charles J P Snart; Ian C W Hardy; David A Barrett
Journal:  Entomol Exp Appl       Date:  2015-02-14       Impact factor: 2.250

9.  Metabolic changes may precede proteostatic dysfunction in a Drosophila model of amyloid beta peptide toxicity.

Authors:  Stanislav Ott; Anastasia Vishnivetskaya; Anders Malmendal; Damian C Crowther
Journal:  Neurobiol Aging       Date:  2016-02-11       Impact factor: 4.673

10.  Cold tolerance is unaffected by oxygen availability despite changes in anaerobic metabolism.

Authors:  Leigh Boardman; Jesper G Sørensen; Vladimír Koštál; Petr Šimek; John S Terblanche
Journal:  Sci Rep       Date:  2016-09-13       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.