Senescence is not inevitable

Jones, Owen R.; Vaupel, James W.

doi:10.1007/s10522-017-9727-3

Cited by 46 publications

(47 citation statements)

References 53 publications

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“…Population dynamics and life‐history evolution hinge on both survival and reproduction. The focus only on mortality of the original pace–shape framework and comparative analyses that use it (Abrams, ; Gorbunova, Bozzella, & Seluanov, ; Jones & Vaupel, ; Monaghan, Charmantier, Nussey, & Ricklefs, ; Nussey, Froy, Lemaitre, Gaillard, & Austad, ; Promislow, ; Reznick, Bryant, & Holmes, ), is a story half‐told: both are important to the evolution of senescence.…”

Section: Discussionmentioning

confidence: 99%

A pace and shape perspective on fertility

Baudisch

Stott

2019

Methods Ecol Evol

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Ageing is ubiquitous to all organisms, but ageing does not always mean senescence. Counter to most evolutionary theories of ageing, the patterns of mortality and reproduction may remain unchanged or improve with age, as well as deteriorate. Describing this diversity presents a challenge to eco‐evolutionary demography. The pace–shape framework of mortality tackled this challenge to qualify and quantify orthogonal components of ageing patterns in mortality. Here, we extend this framework to fertility. Analogous to the logic of the mortality framework, we define a perspective, a framework and novel methods for the pace and shape of fertility. These distinguish between orthogonal components of time‐scale (pace) and distribution (shape) of reproduction over adult life span. Our pace and shape framework mirrors that of mortality, through a shift of perspective from the mother giving birth, to the offspring being born. Our new measures overcome many problems associated with measuring natural fertility trajectories, have both a clear biological and mathematical interpretation, can be intuitively visualized and satisfy and extend important conditions of the pace–shape paradigm. A comprehensive framework of fertility pace–shape facilitates ecological and evolutionary research addressing interactions and trade‐offs between components of birth and death patterns, across the whole tree of life. The burgeoning emergence of large comparative demographic data sources across wide environmental, geographical, temporal and phylogenetic ranges, combined with pace–shape measures, opens the door to comparative analyses of ageing which were never possible before.

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Section: Discussionmentioning

confidence: 99%

A pace and shape perspective on fertility

Baudisch

Stott

2019

Methods Ecol Evol

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“…Later in life, this unlucky lumberjack might develop diabetes, which will further reduce his SPP, because he will now be a one‐handed diabetic (or scar‐bearing diabetic); thus, he will no longer be able to attain any of the possible phenotypes that exclude diabetes. Similarly, all illnesses and injuries reduce a person's SPP, making it smaller and smaller as time progresses. The temporal aspect cannot be separated from the phenotype (the only conceivable exceptions to this rule include ostensibly nonaging organisms, e.g., hydra) Organisms reset certain parameters (e.g., blood pressure) to remain adaptive after achieving a certain threshold.…”

Section: Phenotypes Develops With Timementioning

confidence: 99%

“…The temporal aspect cannot be separated from the phenotype (the only conceivable exceptions to this rule include ostensibly nonaging organisms, e.g., hydra) …”

Section: Phenotypes Develops With Timementioning

confidence: 99%

“…3) The temporal aspect cannot be separated from the phenotype (the only conceivable exceptions to this rule include ostensibly nonaging organisms, e.g., hydra). [11][12][13][14] 4) Organisms reset certain parameters (e.g., blood pressure) to remain adaptive after achieving a certain threshold. Such a threshold may be characterized by the level of stress.…”

Section: Phenotypes Develops With Timementioning

confidence: 99%

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The Pathosome: A Dynamic Three‐Dimensional View of Disease–Environment Interaction

2019

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Most contemporary models of disease development consider the interaction between genotype and environment as static. The authors argue that because time is a key factor in genotype–environment interaction, this approach oversimplifies the pathology analysis and may lead to wrong conclusions. In reviewing the field, the authors suggest that the history of genotype–environment interactions plays an important role in the development of diseases and that this history may be analyzed using the phenotype as a proxy. Furthermore, a theoretical and experimental framework is proposed based on the assumption that phenotypes do not change from one to another randomly but are interconnected and follow certain phenotype trajectories. It then follows that analysis of such phenotype trajectories might be useful to predict the future phenotypes including the onset of disease. In addition, an analysis of phenotype trajectories can be subsequently used to choose better control subjects in comparative studies reducing noise and bias in studies investigating disease mechanisms.

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“…Jones and Vaupel (2017) take an interesting position on the phenomenon of senescence. The authors describe the history of the theoretical ideas on the evolution of senescence, focusing on the increasing empirical data argues that senescence may not be as universal a feature of ageing as once thought and that a diversity of demographic trajectories exists.…”

mentioning

confidence: 99%