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Experimental evidence for convergent evolution of maternal care heuristics in industrialized and small-scale populations

Maternal care decision rules should evolve responsiveness to factors impinging on the fitness pay-offs of care. Because the caretaking environments common in industrialized and small-scale societies vary in predictable ways, we hypothesize that heuristics guiding maternal behaviour will also differ...

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Autores principales: Kushnick, Geoff, Hanowell, Ben, Kim, Jun-Hong, Langstieh, Banrida, Magnano, Vittorio, Oláh, Katalin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4632541/
https://www.ncbi.nlm.nih.gov/pubmed/26543577
http://dx.doi.org/10.1098/rsos.140518
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author Kushnick, Geoff
Hanowell, Ben
Kim, Jun-Hong
Langstieh, Banrida
Magnano, Vittorio
Oláh, Katalin
author_facet Kushnick, Geoff
Hanowell, Ben
Kim, Jun-Hong
Langstieh, Banrida
Magnano, Vittorio
Oláh, Katalin
author_sort Kushnick, Geoff
collection PubMed
description Maternal care decision rules should evolve responsiveness to factors impinging on the fitness pay-offs of care. Because the caretaking environments common in industrialized and small-scale societies vary in predictable ways, we hypothesize that heuristics guiding maternal behaviour will also differ between these two types of populations. We used a factorial vignette experiment to elicit third-party judgements about likely caretaking decisions of a hypothetical mother and her child when various fitness-relevant factors (maternal age and access to resources, and offspring age, sex and quality) were varied systematically in seven populations—three industrialized and four small-scale. Despite considerable variation in responses, we found that three of five main effects, and the two severity effects, exhibited statistically significant industrialized/ small-scale population differences. All differences could be explained as adaptive solutions to industrialized versus small-scale caretaking environments. Further, we found gradients in the relationship between the population-specific estimates and national-level socio-economic indicators, further implicating important aspects of the variation in industrialized and small-scale caretaking environments in shaping heuristics. Although there is mounting evidence for a genetic component to human maternal behaviour, there is no current evidence for interpopulation variation in candidate genes. We nonetheless suggest that heuristics guiding maternal behaviour in diverse societies emerge via convergent evolution in response to similar selective pressures.
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spelling pubmed-46325412015-11-05 Experimental evidence for convergent evolution of maternal care heuristics in industrialized and small-scale populations Kushnick, Geoff Hanowell, Ben Kim, Jun-Hong Langstieh, Banrida Magnano, Vittorio Oláh, Katalin R Soc Open Sci Psychology and Cognitive Neuroscience Maternal care decision rules should evolve responsiveness to factors impinging on the fitness pay-offs of care. Because the caretaking environments common in industrialized and small-scale societies vary in predictable ways, we hypothesize that heuristics guiding maternal behaviour will also differ between these two types of populations. We used a factorial vignette experiment to elicit third-party judgements about likely caretaking decisions of a hypothetical mother and her child when various fitness-relevant factors (maternal age and access to resources, and offspring age, sex and quality) were varied systematically in seven populations—three industrialized and four small-scale. Despite considerable variation in responses, we found that three of five main effects, and the two severity effects, exhibited statistically significant industrialized/ small-scale population differences. All differences could be explained as adaptive solutions to industrialized versus small-scale caretaking environments. Further, we found gradients in the relationship between the population-specific estimates and national-level socio-economic indicators, further implicating important aspects of the variation in industrialized and small-scale caretaking environments in shaping heuristics. Although there is mounting evidence for a genetic component to human maternal behaviour, there is no current evidence for interpopulation variation in candidate genes. We nonetheless suggest that heuristics guiding maternal behaviour in diverse societies emerge via convergent evolution in response to similar selective pressures. The Royal Society Publishing 2015-06-24 /pmc/articles/PMC4632541/ /pubmed/26543577 http://dx.doi.org/10.1098/rsos.140518 Text en http://creativecommons.org/licenses/by/4.0/ © 2015 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Psychology and Cognitive Neuroscience
Kushnick, Geoff
Hanowell, Ben
Kim, Jun-Hong
Langstieh, Banrida
Magnano, Vittorio
Oláh, Katalin
Experimental evidence for convergent evolution of maternal care heuristics in industrialized and small-scale populations
title Experimental evidence for convergent evolution of maternal care heuristics in industrialized and small-scale populations
title_full Experimental evidence for convergent evolution of maternal care heuristics in industrialized and small-scale populations
title_fullStr Experimental evidence for convergent evolution of maternal care heuristics in industrialized and small-scale populations
title_full_unstemmed Experimental evidence for convergent evolution of maternal care heuristics in industrialized and small-scale populations
title_short Experimental evidence for convergent evolution of maternal care heuristics in industrialized and small-scale populations
title_sort experimental evidence for convergent evolution of maternal care heuristics in industrialized and small-scale populations
topic Psychology and Cognitive Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4632541/
https://www.ncbi.nlm.nih.gov/pubmed/26543577
http://dx.doi.org/10.1098/rsos.140518
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