Get access

GENOMIC BASIS OF AGING AND LIFE-HISTORY EVOLUTION IN DROSOPHILA MELANOGASTER

Authors

  • Silvia C. Remolina,

    1. Department of Animal Biology, University of Illinois, Urbana-Champaign, 505 S. Goodwin Ave, Urbana, Illinois 61801
    2. These authors contributed equally to this work
    Search for more papers by this author
  • Peter L. Chang,

    1. These authors contributed equally to this work
    2. Section of Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, California 90089
    Search for more papers by this author
  • Jeff Leips,

    1. Department of Biological Sciences, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, Maryland 21250
    Search for more papers by this author
  • Sergey V. Nuzhdin,

    1. Section of Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, California 90089
    Search for more papers by this author
  • Kimberly A. Hughes

    1. Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295
    2. E-mail: kahughes@bio.fsu.edu
    Search for more papers by this author

Abstract

Natural diversity in aging and other life-history patterns is a hallmark of organismal variation. Related species, populations, and individuals within populations show genetically based variation in life span and other aspects of age-related performance. Population differences are especially informative because these differences can be large relative to within-population variation and because they occur in organisms with otherwise similar genomes. We used experimental evolution to produce populations divergent for life span and late-age fertility and then used deep genome sequencing to detect sequence variants with nucleotide-level resolution. Several genes and genome regions showed strong signatures of selection, and the same regions were implicated in independent comparisons, suggesting that the same alleles were selected in replicate lines. Genes related to oogenesis, immunity, and protein degradation were implicated as important modifiers of late-life performance. Expression profiling and functional annotation narrowed the list of strong candidate genes to 38, most of which are novel candidates for regulating aging. Life span and early age fecundity were negatively correlated among populations; therefore, the alleles we identified also are candidate regulators of a major life-history trade-off. More generally, we argue that hitchhiking mapping can be a powerful tool for uncovering the molecular bases of quantitative genetic variation.

Get access to the full text of this article

Ancillary