What evidence is there for the existence of individual genes with antagonistic pleiotropic effects?

Leroi, Armand M.; Bartke, Andrzej; Benedictis, G. De; Franceschi, Claudio; Gartner, Anton; Gonos, E. S.; Feder, Martin E.; Kivisild, Toomas; Lee, Sylvia; Kartal-Özer, Nesrin; Schumacher, Michaël; Sikora, Ewa; Slagboom, P. Eline; Tatar, Marc; Yashin, Anatoli I.; Vijg, Jan; Zwaan, Bas J.

doi:10.1016/j.mad.2004.07.012

Cited by 110 publications

(103 citation statements)

References 63 publications

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“…The plasticity in these species of butterfl y represents adaptive responses to seasonal differences both in terms of resting background and predation, and in the distribution through time of adult and larval food resources; there is a disruptive pattern of natural selection involving different ecological challenges. Our recent studies based on laboratory stocks of a single species, B. anynana, are also central to the use of this new model system in research on the evolution of ageing and, more specifi cally, on the mechanisms that underlie variation in rates of ageing (Brakefi eld et al 2005;Leroi et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Developmental plasticity and acclimation both contribute to adaptive responses to alternating seasons of plenty and of stress in Bicyclus butterflies

2007

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Plasticity is a crucial component of the life cycle of invertebrates that live as active adults throughout wet and dry seasons in the tropics. Such plasticity is seen in the numerous species of Bicyclus butterfl ies in Africa which exhibit seasonal polyphenism with sequential generations of adults with one or other of two alternative phenotypes. These differ not only in wing pattern but in many other traits. This divergence across a broad complex of traits is associated with survival and reproduction either in a wet season that is favourable in terms of resources, or mainly in a dry season that is more stressful. This phenomenon has led us to examine the bases of the developmental plasticity in a model species, B. anynana, and also the evolution of key adult life history traits, including starvation resistance and longevity. We now understand something about the processes that generate variation in the phenotype, and also about the ecological context of responses to environmental stress. The responses clearly involve a mix of developmental plasticity as cued by different environments in pre-adult development, and the acclimation of life history traits in adults to their prevailing environment.

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Section: Introductionmentioning

confidence: 99%

Developmental plasticity and acclimation both contribute to adaptive responses to alternating seasons of plenty and of stress in Bicyclus butterflies

2007

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“…This is now known as "antagonistic pleiotropy" theory (Williams, 1957), which claims that aging results from an adaptive process of selection favoring certain genes with netpositive effects. The p53 gene is perhaps one of the clearest examples of an antagonistially pleiotropic gene (Leroi et al, 2005).…”

Section: Aging Theoriesmentioning

confidence: 99%

Evolution of the rate of biological aging using a phenotype based computational model

Kittas

2010

Journal of Theoretical Biology

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.Evolution of the rate of biological aging using a phenotype based computational model Aristotelis KittasTo cite this version: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.Evolution of the rate of biological aging using a phenotype based computational model Aristotelis KittasDepartment of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece AbstractIn this work I introduce a simple model to study how natural selection acts upon aging, which focuses on the viability of each individual. It is able to reproduce the Gompertz law of mortality and can make predictions about the relation between the level of mutation rates (beneficial/deleterious/neutral), age at reproductive maturity and the degree of biological aging. With no mutations, a population with low age at reproductive maturity R stabilizes at higher density values, while with mutations it reaches its maximum density, because even for large pre-reproductive periods each individual evolves to survive to maturity. Species with very short pre-reproductive periods can only tolerate a small number of detrimental mutations. The probabilities of detrimental (P d ) or beneficial (P b ) mutations are demonstrated to greatly affect the process. High absolute values produce peaks in the viability of the population over time. Mutations combined with low selection pressure move the system towards weaker phenotypes. For low values in the ratio P d /P b , the speed at which aging occurs is almost independent of R, while higher values favor significantly species with high R. The value of R is critical to whether the population survives or dies out. The aging rate is controlled by P d and P b and the amount the viability of each individual is modified, with neutral mutations allowing the system more "room" to evolve. The process of aging in this simple model is revealed to be fairly complex, yielding a rich variety of results.

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“…These latter genes, in particular, can have differing biological functions across ages. Capri et al (2006) therefore conclude that antagonistic pleiotropy can have a major role in humans, where sufficient post-reproductive individuals occur for its detection, although Leroi et al (2005) caution that very little is known about the early life fitness effects of longevity loci.…”

Section: Antagonistic Pleiotropy?mentioning

confidence: 99%

Antagonistic pleiotropy and the stress theory of aging

Parsons

2007

Biogerontology

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The ecological stress theory of aging incorporates the normally harsh environments of natural populations and hence restricted resources. Especially towards lethal extremes, positive associations are expected among fitness traits underlain by selection for energetic efficiency favoring genotypes for stress resistance. Positive pleiotropy is therefore expected for fitness traits across varying ages under these conditions. Furthermore, hormetic zones are regions of maximum energetic efficiency, also implying positive pleiotropy. Negative pleiotropy may therefore be mainly a phenomenon of benign environments.

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What evidence is there for the existence of individual genes with antagonistic pleiotropic effects?

Cited by 110 publications

References 63 publications

Developmental plasticity and acclimation both contribute to adaptive responses to alternating seasons of plenty and of stress in Bicyclus butterflies

Developmental plasticity and acclimation both contribute to adaptive responses to alternating seasons of plenty and of stress in Bicyclus butterflies

Evolution of the rate of biological aging using a phenotype based computational model

Antagonistic pleiotropy and the stress theory of aging

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