Literature DB >> 8641052

Comparative biochemical and stress analysis of genetically selected Drosophila strains with different longevities.

A G Force1, T Staples, S Soliman, R Arking.   

Abstract

We have performed a comparative analysis of the effects of age of reproduction on the biochemical (protein, lipid, and glycogen content) and stress resistance (ability to survive starvation, desiccation, and exogenous paraquat) parameters on 10 sister lines of five different Drosophila strains. Four pairs of these sister lines were selected under different regimens for either early or delayed reproduction; the fifth pair was maintained in a nonselected state and served as the baseline strain to which all others were compared. It is generally accepted that the early regimens give rise to short-lived phenotypes, whereas the delayed regimens give rise to long-lived phenotypes. Our results suggest that a mechanism involving lipid and starvation resistance is not operative in our long-lived strains. In addition, a mechanism involving glycogen content and desiccation resistance is only weakly supported. Finally, there is strong support for a mechanism that gives rise to enhanced paraquat resistance and therefore may involve regulatory changes in the pattern of ADS gene expression. In addition, the 15-day early age of reproduction regimen (M type) shows qualitatively similar responses to that of the late age at reproduction regimen (L type). These results suggest that correlations between biochemical traits and longevity must be interpreted with caution. We discuss possible reasons for these results, including the possibility of multiple mechanisms, each leading to a different extended longevity phenotype.

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Year:  1995        PMID: 8641052     DOI: 10.1002/dvg.1020170407

Source DB:  PubMed          Journal:  Dev Genet        ISSN: 0192-253X


  15 in total

1.  Sex-specific quantitative trait loci affecting longevity in Drosophila melanogaster.

Authors:  S V Nuzhdin; E G Pasyukova; C L Dilda; Z B Zeng; T F Mackay
Journal:  Proc Natl Acad Sci U S A       Date:  1997-09-02       Impact factor: 11.205

2.  Metabolic alterations in genetically selected Drosophila strains with different longevities.

Authors:  S A Buck; R Arking
Journal:  J Am Aging Assoc       Date:  2001-10

3.  Genotype-environment interaction for quantitative trait loci affecting life span in Drosophila melanogaster.

Authors:  C Vieira; E G Pasyukova; Z B Zeng; J B Hackett; R F Lyman; T F Mackay
Journal:  Genetics       Date:  2000-01       Impact factor: 4.562

4.  Sex-specific stress tolerance, proteolysis, and lifespan in the invertebrate Tigriopus californicus.

Authors:  Helen B Foley; Patrick Y Sun; Rocio Ramirez; Brandon K So; Yaamini R Venkataraman; Emily N Nixon; Kelvin J A Davies; Suzanne Edmands
Journal:  Exp Gerontol       Date:  2019-02-07       Impact factor: 4.032

5.  The association among gene expression responses to nine abiotic stress treatments in Arabidopsis thaliana.

Authors:  William R Swindell
Journal:  Genetics       Date:  2006-10-08       Impact factor: 4.562

6.  Nuclear-mitochondrial epistasis and drosophila aging: introgression of Drosophila simulans mtDNA modifies longevity in D. melanogaster nuclear backgrounds.

Authors:  David M Rand; Adam Fry; Lea Sheldahl
Journal:  Genetics       Date:  2005-10-11       Impact factor: 4.562

Review 7.  Reproduction, fat metabolism, and life span: what is the connection?

Authors:  Malene Hansen; Thomas Flatt; Hugo Aguilaniu
Journal:  Cell Metab       Date:  2013-01-08       Impact factor: 27.287

8.  Genetic approaches to study aging in Drosophila melanogaster.

Authors:  Luc Poirier; Laurent Seroude
Journal:  Age (Dordr)       Date:  2005-12-31

9.  Drosophila selected for extended longevity are more sensitive to heat shock.

Authors:  K Kuether; R Arking
Journal:  Age (Omaha)       Date:  1999-10

Review 10.  What have two decades of laboratory life-history evolution studies on Drosophila melanogaster taught us?

Authors:  N G Prasad; Amitabh Joshi
Journal:  J Genet       Date:  2003 Apr-Aug       Impact factor: 1.166

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