The persistence of altruism and spite remains an enduring problem of social evolution. It is well known that selection for these actions depends on the structure of the population-that is, on actors' genetic relationships to recipients and to the 'neighbourhood' upon which the effects of their actions redound. Less appreciated, however, is that population structure can cause genetic asymmetries between partners whereby the relatedness (defined relative to the neighbourhood) of an individual i to a partner j will differ from the relatedness of j to i. Here, we introduce a widespread mechanism of kin recognition to a model of dispersal in subdivided populations. In so doing, we uncover three remarkable consequences of asymmetrical relatedness. First, altruism directed at phenotypically similar partners evolves more easily among migrant than native actors. Second, spite directed at dissimilar partners evolves more easily among native than migrant actors. Third, unlike migrants, natives can evolve to pay costs that far outstrip those they spitefully impose on others. We find that the frequency of natives relative to migrants amplifies the asymmetries between them. Taken together, our results reveal differentiated patterns of 'phenocentrism' that readily arise from asymmetries of relatedness.
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http://dx.doi.org/10.1098/rspb.2015.0142 | DOI Listing |
PLoS One
December 2024
Faculty of Education, Department of Educational Sciences, Bolu Abant İzzet Baysal University, Bolu, Turkey.
This systematic review study examines the relationship between language development, executive function, and screen time in early childhood. The early childhood period is a crucial phase for the development of the brain, during which fundamental language and executive function skills undergo rapid evolution. This review synthesizes findings from 14 peer-reviewed studies that focused on language development, executive function, and screen time together to provide a comprehensive understanding of their relationship.
View Article and Find Full Text PDFJ Archaeol Method Theory
December 2024
Austrian Archaeological Institute, Austrian Academy of Sciences, Dominikanerbastei 16, 1010 Vienna, Austria.
Unlabelled: The expansion of the Neolithic way of life triggered the most profound changes in peoples' socioeconomic behaviors, including how critical resources for everyday life were managed. Recent research spearheaded by ancient DNA analysis has greatly contributed to our understanding of the main direction of Neolithisation spreading from western Anatolia into central Europe. Due to the diverse processes involved in Neolithisation, which resulted in a high diversity of regional and local phenomena, the underlying mechanisms of these developments are still largely unexplored.
View Article and Find Full Text PDFVirus Evol
December 2024
Department of Ecology and Evolutionary Biology, Yale University, 165 Prospect Street, New Haven, CT 06511, USA.
The importance of asymptomatic transmission was a key discovery in our efforts to study and intervene in the COVID-19 pandemic. In (Johns Hopkins University Press, 2024), Joshua Weitz uses this aspect of SARS-CoV-2 natural history to discuss many counterintuitive characteristics of the pandemic. In this essay, I engage the arguments in the book, and discuss why asymptomatic transmission is such a critical dimension of the study of infectious diseases.
View Article and Find Full Text PDFBehav Brain Sci
December 2024
Duke University, Department of Psychology & Neuroscience, Durham, NC USA.
The human capacity for culture is a key determinant of our success as a species. While much work has examined adults' abilities to create and transmit cultural knowledge, relatively less work has focused on the role of children (approx. 3-17 years) in this important process.
View Article and Find Full Text PDFPNAS Nexus
January 2025
Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA.
This paper describes Epihiper, a state-of-the-art, high performance computational modeling framework for epidemic science. The Epihiper modeling framework supports custom disease models, and can simulate epidemics over dynamic, large-scale networks while supporting modulation of the epidemic evolution through a set of user-programmable interventions. The nodes and edges of the social-contact network have customizable sets of static and dynamic attributes which allow the user to specify intervention target sets at a very fine-grained level; these also permit the network to be updated in response to nonpharmaceutical interventions, such as school closures.
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