Abstract:Increased maternal age at reproduction is often associated with decreased offspring performance in numerous species of plants and animals (including humans). Current evolutionary theory considers such maternal effect senescence as part of a unified process of reproductive senescence, which is under identical age-specific selective pressures to fertility. We offer a novel theoretical perspective by combining William Hamilton's evolutionary model for aging with a quantitative genetic model of indirect genetic ef… Show more
“…As with the classical evolutionary theory of senescence (Williams 1957;Hamilton 1966;Charlesworth 1994), the evolutionary model of maternal effect senescence demonstrates that age-attenuated selection is inevitable late-in-life (Moorad & Nussey 2016). However, natural selection can shape evolution only to the degree made available by the underlying genetic architecture (Lande 1979).…”
Section: Demographic Comparisonsmentioning
confidence: 99%
“…Finally, it should be emphasized that future conceptual advancements in evolutionary theory could provide better models to explain maternal effect senescence, perhaps by embellishing upon the relative simple population genetic model of Moorad and Nussey (2016). There are many features known to be important to reproductive and actuarial senescence that are not included in this model, such as across-age genetic pleiotropy (Williams 1957;Charlesworth 2001), selective disappearance (Vaupel et al 1979;Vaupel & Yashin 1985;van de Pol & Verhulst 2006), mutational bias (Moorad & Promislow 2008), density-and condition-dependent effects (Abrams 1993;Williams & Day 2003), and within-age trade-offs (Charlesworth & León 1976).…”
Section: Demographic Comparisonsmentioning
confidence: 99%
“…Hughes and Charlesworth 1994), and in particular, population genetic models of mutation accumulation predict Gompertz mortality in adults (Charlesworth 2001). More recently, Moorad and Nussey (2016) applied this approach to quantify how age changes the strength of selection for age-specific maternal effects and to show how these changes cause maternal effects upon neonatal survival to evolve. They predicted that evolved demographic patterns of this manifestation of senescence are qualitatively different from actuarial or reproductive senescence.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we address conspicuous gaps in our understanding of maternal effect senescence by performing an extensive systematic review of the literature using metaanalytical methodology. We have chosen neonatal survival as our focus for several reasons: 1) this trait's relationship to fitness is profound and well-understood conceptually (Hamilton 1966); 2) evolutionary theory explicitly models age-specific maternal effects on this trait (Moorad & Nussey 2016); 3) conventional demographic models of actuarial senescence can be adapted to describe maternal-age trajectories; and 4) associations between the trait and maternal age are observed with sufficient frequency to enable meta-analyses. This study asks two sets of questions about the nature of maternal effect senescence as it manifests on neonatal survival rates:…”
Maternal effect senescence is the detrimental effect of increased maternal age on offspring performance. Despite much recent interest given to describing this phenomenon, its origins and distribution across the tree-of-life are poorly understood.We find that age affects neonatal survival in 83 of 90 studies across 51 species, but we observed a puzzling difference between groups of animal species. Amongst wild bird populations, the average effect of age was only -0.7% per standardized unit of increasing age, but maternal effects clearly senesced in laboratory invertebrates (-67.1%) and wild mammals (-57.8%). Comparisons amongst demographic predictions derived from evolutionary theory and conventional demographic models suggest that natural selection has shaped maternal effect senescence in the natural world. These results emphasize both the general importance of maternal age effects and the 2 potential for evolutionary genetics to provide a valuable framework for understanding the diversity of this manifestation of ageing in animal species.
“…As with the classical evolutionary theory of senescence (Williams 1957;Hamilton 1966;Charlesworth 1994), the evolutionary model of maternal effect senescence demonstrates that age-attenuated selection is inevitable late-in-life (Moorad & Nussey 2016). However, natural selection can shape evolution only to the degree made available by the underlying genetic architecture (Lande 1979).…”
Section: Demographic Comparisonsmentioning
confidence: 99%
“…Finally, it should be emphasized that future conceptual advancements in evolutionary theory could provide better models to explain maternal effect senescence, perhaps by embellishing upon the relative simple population genetic model of Moorad and Nussey (2016). There are many features known to be important to reproductive and actuarial senescence that are not included in this model, such as across-age genetic pleiotropy (Williams 1957;Charlesworth 2001), selective disappearance (Vaupel et al 1979;Vaupel & Yashin 1985;van de Pol & Verhulst 2006), mutational bias (Moorad & Promislow 2008), density-and condition-dependent effects (Abrams 1993;Williams & Day 2003), and within-age trade-offs (Charlesworth & León 1976).…”
Section: Demographic Comparisonsmentioning
confidence: 99%
“…Hughes and Charlesworth 1994), and in particular, population genetic models of mutation accumulation predict Gompertz mortality in adults (Charlesworth 2001). More recently, Moorad and Nussey (2016) applied this approach to quantify how age changes the strength of selection for age-specific maternal effects and to show how these changes cause maternal effects upon neonatal survival to evolve. They predicted that evolved demographic patterns of this manifestation of senescence are qualitatively different from actuarial or reproductive senescence.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we address conspicuous gaps in our understanding of maternal effect senescence by performing an extensive systematic review of the literature using metaanalytical methodology. We have chosen neonatal survival as our focus for several reasons: 1) this trait's relationship to fitness is profound and well-understood conceptually (Hamilton 1966); 2) evolutionary theory explicitly models age-specific maternal effects on this trait (Moorad & Nussey 2016); 3) conventional demographic models of actuarial senescence can be adapted to describe maternal-age trajectories; and 4) associations between the trait and maternal age are observed with sufficient frequency to enable meta-analyses. This study asks two sets of questions about the nature of maternal effect senescence as it manifests on neonatal survival rates:…”
Maternal effect senescence is the detrimental effect of increased maternal age on offspring performance. Despite much recent interest given to describing this phenomenon, its origins and distribution across the tree-of-life are poorly understood.We find that age affects neonatal survival in 83 of 90 studies across 51 species, but we observed a puzzling difference between groups of animal species. Amongst wild bird populations, the average effect of age was only -0.7% per standardized unit of increasing age, but maternal effects clearly senesced in laboratory invertebrates (-67.1%) and wild mammals (-57.8%). Comparisons amongst demographic predictions derived from evolutionary theory and conventional demographic models suggest that natural selection has shaped maternal effect senescence in the natural world. These results emphasize both the general importance of maternal age effects and the 2 potential for evolutionary genetics to provide a valuable framework for understanding the diversity of this manifestation of ageing in animal species.
“…Maternal effect senescence refers to reduced success or quality of offspring with advancing age of the mother [7]. Advanced maternal age has known negative effects on offspring health, lifespan and fertility in humans and other species [8][9][10][11][12][13][14][15][16].…”
Maternal effect senescence-a decline in offspring fitness with maternal age-has been demonstrated in a range of taxa, including humans. Despite decades of phenotypic studies, it remains unclear how maternal effect senescence impacts population structure or evolutionary fitness. To understand the impact of maternal effect senescence on population dynamics, fitness, and selection, we used data from individual-based culture experiments on the microscopic aquatic invertebrate, Brachionus manjavacas (Rotifera), to develop a series of matrix population models in which individuals are classified jointly by age and maternal age. By comparing the results derived from models with and without maternal effects, we found that the fitness difference due to maternal effect senescence arises primarily through decreased fertility, particularly at maternal ages corresponding to the peak reproductive output. In all models, selection gradients decrease with increasing age. They also decrease with maternal age for large maternal ages, implying that maternal effect senescence can evolve through the same process as in Hamilton's theory of the evolution of demographic senescence. We find that maternal effect senescence significantly alters population structure and fitness for B. manjavacas, a species with high maternal investment and maximum reproduction in early-to mid-life. The models developed here were built with data from an emerging model organism, and are widely applicable to evaluate the fitness consequences of maternal effect senescence across species with diverse aging and fertility schedule phenotypes.
Seed plants can be broadly divided into two groups according to their life history. Annual plants complete their life cycle including germination, vegetative growth, and finally reproduction within one year. Usually, annual plants flower once in their lifetime and are, therefore, referred to as monocarpic. Perennial plants alternate between vegetative and reproductive phases over several consecutive years and usually have the ability to flower multiple times throughout their lifetime and are, therefore, referred to as polycarpic. Shifts between these two life histories have occurred multiple times independently in higher plants. Each life history comes with its own set of typical morphological characters and differential expression of key genes involved in the regulation of juvenile phase, flowering, branching, or senescence shape molecular pathways into fitting with the respective life history.
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