Literature DB >> 15748788

Age-dependent changes of gene expression in the Drosophila head.

Se Nyun Kim1, Ji-Hwan Rhee, Young-Hwa Song, Dong Yoon Park, Mina Hwang, Sung-Ll Lee, Ja Eun Kim, Byung Soo Gim, Jeong Ho Yoon, Young-Joon Kim, Jeongsil Kim-Ha.   

Abstract

Previous gene expression profiling studies in Drosophila have provided clues for understanding the aging process at the gene expression level. For a detailed understanding, studies of specific regions of the body are necessary. We therefore employed microarray analysis to examine gene expression changes in the Drosophila head during aging. Six hundred and eighty-four of the 5405 genes present in the microarray showed significant age-dependent changes as determined by significance analysis of microarray (SAM) (q < 0.05). The biological significance of the changes was analyzed using the gene annotations provided by the Gene Ontology Consortium. Major changes involved genes affecting energy metabolism (proton transport, energy pathways, oxidative phosphorylation) and neuronal function, especially responses to light. Genes involved in protein catabolism and several other metabolic processes also showed age-dependent changes. Most of the changes were reductions in gene expression and occurred before day 13 of adult life. After day 13, the age-dependent gene expression changes were relatively smaller than earlier life. Interestingly, the two biological processes of major gene expression changes are related to the two known environmental changes that increase life span in Drosophila: caloric restriction and light reduction. Our findings suggest that light signaling and energy metabolism may be important biological processes affected by aging and be interesting targets for the further investigation related to the longevity in Drosophila.

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Year:  2005        PMID: 15748788     DOI: 10.1016/j.neurobiolaging.2004.06.017

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  17 in total

1.  Flies selected for longevity retain a young gene expression profile.

Authors:  Pernille Sarup; Peter Sørensen; Volker Loeschcke
Journal:  Age (Dordr)       Date:  2010-07-07

2.  Quantitative trait loci with age-specific effects on fecundity in Drosophila melanogaster.

Authors:  Jeff Leips; Paul Gilligan; Trudy F C Mackay
Journal:  Genetics       Date:  2005-11-04       Impact factor: 4.562

3.  Temporal and spatial transcriptional profiles of aging in Drosophila melanogaster.

Authors:  Ming Zhan; Haruyoshi Yamaza; Yu Sun; Jason Sinclair; Huai Li; Sige Zou
Journal:  Genome Res       Date:  2007-07-10       Impact factor: 9.043

Review 4.  Systems biology of aging in four species.

Authors:  Jacob M Zahn; Stuart K Kim
Journal:  Curr Opin Biotechnol       Date:  2007-08-02       Impact factor: 9.740

5.  Deciphering life history transcriptomes in different environments.

Authors:  William J Etges; Meredith V Trotter; Cássia C de Oliveira; Subhash Rajpurohit; Allen G Gibbs; Shripad Tuljapurkar
Journal:  Mol Ecol       Date:  2014-12-31       Impact factor: 6.185

6.  Quantitative and molecular genetic analyses of mutations increasing Drosophila life span.

Authors:  Michael M Magwire; Akihiko Yamamoto; Mary Anna Carbone; Natalia V Roshina; Alexander V Symonenko; Elena G Pasyukova; Tatiana V Morozova; Trudy F C Mackay
Journal:  PLoS Genet       Date:  2010-07-29       Impact factor: 5.917

7.  Neuronal susceptibility to GRIM in Drosophila melanogaster measures the rate of genetic changes that scale to lifespan.

Authors:  Matthew A Bedoukian; Sarah M Rodriguez; Matthew B Cohen; Stuart V Duncan Smith; Jennifer Park
Journal:  Mech Ageing Dev       Date:  2009-01-22       Impact factor: 5.432

8.  Expression pattern diversity and functional conservation between retroposed PRAT genes from Drosophila melanogaster and Drosophila virilis.

Authors:  Jay Penney; Jessica Bossé; Denise V Clark
Journal:  J Mol Evol       Date:  2008-04-08       Impact factor: 2.395

9.  Transcriptome analysis of a long-lived natural Drosophila variant: a prominent role of stress- and reproduction-genes in lifespan extension.

Authors:  Agnieszka Doroszuk; Martijs J Jonker; Nicolien Pul; Timo M Breit; Bas J Zwaan
Journal:  BMC Genomics       Date:  2012-05-04       Impact factor: 3.969

Review 10.  Computational biology for ageing.

Authors:  Daniela Wieser; Irene Papatheodorou; Matthias Ziehm; Janet M Thornton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-01-12       Impact factor: 6.237

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