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Cited by 147Genetics, Aging, and Longevity in Model OrganismsGenetic Mapping and Diversity in Plants and AnimalsNeurobiology and Insect Physiology Research

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Deficiency Mapping of Quantitative Trait Loci Affecting Longevity in Drosophila melanogaster

Pasyukova, Elena G, Vieira, Cristina, Mackay, Trudy F C·2000·Genetics
DOI 10.1093/genetics/156.3.1129
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Abstract

In a previous study, sex-specific quantitative trait loci (QTL) affecting adult longevity were mapped by linkage to polymorphic roo transposable element markers, in a population of recombinant inbred lines derived from the Oregon and 2b strains of Drosophila melanogaster. Two life span QTL were each located on chromosomes 2 and 3, within sections 33E–46C and 65D–85F on the cytological map, respectively. We used quantitative deficiency complementation mapping to further resolve the locations of life span QTL within these regions. The Oregon and 2b strains were each crossed to 47 deficiencies spanning cytological regions 32F–44E and 64C–76B, and quantitative failure of the QTL alleles to complement the deficiencies was assessed. We initially detected a minimum of five and four QTL in the chromosome 2 and 3 regions, respectively, illustrating that multiple linked factors contribute to each QTL detected by recombination mapping. The QTL locations inferred from deficiency mapping did not generally correspond to those of candidate genes affecting oxidative and thermal stress or glucose metabolism. The chromosome 2 QTL in the 35B–E region was further resolved to a minimum of three tightly linked QTL, containing six genetically defined loci, 24 genes, and predicted genes that are positional candidates corresponding to life span QTL. This region was also associated with quantitative variation in life span in a sample of 10 genotypes collected from nature. Quantitative deficiency complementation is an efficient method for fine-scale QTL mapping in Drosophila and can be further improved by controlling the background genotype of the strains to be tested.

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Research works printed but not linked: 2

  1. Lynch, 1998, Genetics and Analysis of QuantitativeTraits
  2. SAS Institute, 1988, SAS/STAT User’s Guide, Release 6.03 Edition

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Metadata

Authors
Pasyukova, E. G., Vieira, C., & Mackay, T. F. C.
Affiliations
  • Russian Academy of Sciences (RU)
  • North Carolina State University (US)
ORCID
Venue
Genetics
Publisher
Oxford University Press (OUP)
Published
2000-11-01
Volume
156
Issue
3
Pages
1129-1146
ISSN
  • 0016-6731 (ISSN-L)
  • 1943-2631
DOI
10.1093/genetics/156.3.1129
OpenAlex
W1894443853
Cited by
140
References
35
Citations by year
2026: 1 · 2024: 3 · 2022: 1 · 2021: 2 · 2020: 4 · 2018: 2 · 2017: 5 · 2016: 4 · 2015: 5 · 2014: 3 · 2013: 2 · 2012: 8
FWCI
2.49
Type
journal article
Language
en
Open access
closed
Licence
academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
Locations
  • Genetics (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion)
Funders
  • National Institutes of Health (5r03tw000997-03)
  • National Institute of General Medical Sciences (GM 45146, R01GM045146)
  • Fogarty International Center (TW00997)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
Keywords
quantitative trait loci, adult longevity, lifespan, Drosophila melanogaster, recombinant inbred lines, chromosome 2, chromosome 3, oxidative stress, thermal stress (biology), glucose metabolism, natural genetic variation
MeSH terms
Animals, Chromosome Aberrations, Chromosome Mapping, Drosophila melanogaster, Female, Genetic Complementation Test, Genetic Markers, Inbreeding, Longevity, Male, Recombination, Genetic, Models, Statistical, Gene Deletion, Quantitative Trait, Heritable

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