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Applying the genetic theories of ageing to the cytoplasm: cytoplasmic genetic covariation for fitness and lifespan.
Centre for Evolutionary Biology, School of Animal Biology (M092), University of Western Australia, Crawley, WA, Australia.
Animal Ecology ⁄ Department of Ecology and Evolution, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden / School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, Australia.
Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, CA, USA.ORCID iD: 0000-0001-6112-9586
Center for Conservation and Evolutionary Genetics, National Zoological Park and National Museum of Natural History, Smithsonian Institution, Washington, DC, USA.
2009 (English)In: Journal of Evolutionary Biology, ISSN 1010-061X, E-ISSN 1420-9101, Vol. 22, no 4, 818-27 p.Article in journal (Refereed) Published
Abstract [en]

Two genetic models exist to explain the evolution of ageing - mutation accumulation (MA) and antagonistic pleiotropy (AP). Under MA, a reduced intensity of selection with age results in accumulation of late-acting deleterious mutations. Under AP, late-acting deleterious mutations accumulate because they confer beneficial effects early in life. Recent studies suggest that the mitochondrial genome is a major player in ageing. It therefore seems plausible that the MA and AP models will be relevant to genomes within the cytoplasm. This possibility has not been considered previously. We explore whether patterns of covariation between fitness and ageing across 25 cytoplasmic lines, sampled from a population of Drosophila melanogaster, are consistent with the genetic associations predicted under MA or AP. We find negative covariation for fitness and the rate of ageing, and positive covariation for fitness and lifespan. Notably, the direction of these associations is opposite to that typically predicted under AP.

Place, publisher, year, edition, pages
2009. Vol. 22, no 4, 818-27 p.
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:liu:diva-137227DOI: 10.1111/j.1420-9101.2009.01692.xPubMedID: 19226414OAI: oai:DiVA.org:liu-137227DiVA: diva2:1094292
Available from: 2017-05-09 Created: 2017-05-09 Last updated: 2017-05-09Bibliographically approved

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CiteExportLink to record
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