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Maternal care leads to the evolution of long, slow lives.
Zipple, Matthew N; Reeve, H Kern; Peniston, Orca Jimmy.
Afiliação
  • Zipple MN; Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853.
  • Reeve HK; Laboratory for Animal Social Evolution and Recognition, Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853.
  • Peniston OJ; Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853.
Proc Natl Acad Sci U S A ; 121(25): e2403491121, 2024 Jun 18.
Article em En | MEDLINE | ID: mdl-38875146
ABSTRACT
Animals, and mammals in particular, vary widely in their "pace of life," with some species living long lives and reproducing infrequently (slow life histories) and others living short lives and reproducing often (fast life histories). These species also vary in the importance of maternal care in offspring fitness In some species, offspring are fully independent of their mothers following a brief period of nutritional input, while others display a long period of continued dependence on mothers well after nutritional dependence. Here, we hypothesize that these two axes of variation are causally related to each other, such that extended dependence of offspring on maternal presence leads to the evolution of longer lives at the expense of reproduction. We use a combination of deterministic modeling and stochastic agent-based modeling to explore how empirically observed links between maternal survival and offspring fitness are likely to shape the evolution of mortality and fertility. Each of our modeling approaches leads to the same

conclusion:

When maternal survival has a strong impact on the survival of offspring and grandoffspring, populations evolve longer lives with less frequent reproduction. Our results suggest that the slow life histories of humans and other primates as well as other long-lived, highly social animals such as hyenas, whales, and elephants are partially the result of the strong maternal care that these animals display. We have designed our models to be readily parameterized with demographic data that are routinely collected by long-term researchers, which will facilitate more thorough testing of our hypothesis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Reprodução / Evolução Biológica / Longevidade / Comportamento Materno Limite: Animals / Female / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Reprodução / Evolução Biológica / Longevidade / Comportamento Materno Limite: Animals / Female / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article