IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v116y2017icp33-46.html
   My bibliography  Save this article

Invasion fitness for gene–culture co-evolution in family-structured populations and an application to cumulative culture under vertical transmission

Author

Listed:
  • Mullon, Charles
  • Lehmann, Laurent

Abstract

Human evolution depends on the co-evolution between genetically determined behaviors and socially transmitted information. Although vertical transmission of cultural information from parent to offspring is common in hominins, its effects on cumulative cultural evolution are not fully understood. Here, we investigate gene–culture co-evolution in a family-structured population by studying the invasion fitness of a mutant allele that influences a deterministic level of cultural information (e.g., amount of knowledge or skill) to which diploid carriers of the mutant are exposed in subsequent generations. We show that the selection gradient on such a mutant, and the concomitant level of cultural information it generates, can be evaluated analytically under the assumption that the cultural dynamic has a single attractor point, thereby making gene–culture co-evolution in family-structured populations with multigenerational effects mathematically tractable. We apply our result to study how genetically determined phenotypes of individual and social learning co-evolve with the level of adaptive information they generate under vertical transmission. We find that vertical transmission increases adaptive information due to kin selection effects, but when information is transmitted as efficiently between family members as between unrelated individuals, this increase is moderate in diploids. By contrast, we show that the way resource allocation into learning trades off with allocation into reproduction (the “learning-reproduction trade-off†) significantly influences levels of adaptive information. We also show that vertical transmission prevents evolutionary branching and may therefore play a qualitative role in gene–culture co-evolutionary dynamics. More generally, our analysis of selection suggests that vertical transmission can significantly increase levels of adaptive information under the biologically plausible condition that information transmission between relatives is more efficient than between unrelated individuals.

Suggested Citation

  • Mullon, Charles & Lehmann, Laurent, 2017. "Invasion fitness for gene–culture co-evolution in family-structured populations and an application to cumulative culture under vertical transmission," Theoretical Population Biology, Elsevier, vol. 116(C), pages 33-46.
  • Handle: RePEc:eee:thpobi:v:116:y:2017:i:c:p:33-46
    DOI: 10.1016/j.tpb.2017.06.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040580917300096
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tpb.2017.06.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nakahashi, Wataru, 2013. "Evolution of improvement and cumulative culture," Theoretical Population Biology, Elsevier, vol. 83(C), pages 30-38.
    2. Ohtsuki, Hisashi & Wakano, Joe Yuichiro & Kobayashi, Yutaka, 2017. "Inclusive fitness analysis of cumulative cultural evolution in an island-structured population," Theoretical Population Biology, Elsevier, vol. 115(C), pages 13-23.
    3. Aoki, Kenichi & Feldman, Marcus W., 2014. "Evolution of learning strategies in temporally and spatially variable environments: A review of theory," Theoretical Population Biology, Elsevier, vol. 91(C), pages 3-19.
    4. Débarre, Florence & Otto, Sarah P., 2016. "Evolutionary dynamics of a quantitative trait in a finite asexual population," Theoretical Population Biology, Elsevier, vol. 108(C), pages 75-88.
    5. Nakahashi, Wataru, 2010. "Evolution of learning capacities and learning levels," Theoretical Population Biology, Elsevier, vol. 78(3), pages 211-224.
    6. Kobayashi, Yutaka & Aoki, Kenichi, 2012. "Innovativeness, population size and cumulative cultural evolution," Theoretical Population Biology, Elsevier, vol. 82(1), pages 38-47.
    7. Wakano, Joe Yuichiro & Miura, Chiaki, 2014. "Trade-off between learning and exploitation: The Pareto-optimal versus evolutionarily stable learning schedule in cumulative cultural evolution," Theoretical Population Biology, Elsevier, vol. 91(C), pages 37-43.
    8. Marcus W. Feldman & Kenichi Aoki & Jochen Kumm, 1996. "Individual Versus Social Learning: Evolutionary Analysis in a Fluctuating Environment," Working Papers 96-05-030, Santa Fe Institute.
    9. Aoki, Kenichi & Wakano, Joe Yuichiro & Lehmann, Laurent, 2012. "Evolutionarily stable learning schedules and cumulative culture in discrete generation models," Theoretical Population Biology, Elsevier, vol. 81(4), pages 300-309.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ram, Yoav & Liberman, Uri & Feldman, Marcus W., 2019. "Vertical and oblique cultural transmission fluctuating in time and in space," Theoretical Population Biology, Elsevier, vol. 125(C), pages 11-19.
    2. Ohtsuki, Hisashi & Wakano, Joe Yuichiro & Kobayashi, Yutaka, 2017. "Inclusive fitness analysis of cumulative cultural evolution in an island-structured population," Theoretical Population Biology, Elsevier, vol. 115(C), pages 13-23.
    3. Aoki, Kenichi & Feldman, Marcus W., 2014. "Evolution of learning strategies in temporally and spatially variable environments: A review of theory," Theoretical Population Biology, Elsevier, vol. 91(C), pages 3-19.
    4. Nakahashi, Wataru, 2013. "Evolution of improvement and cumulative culture," Theoretical Population Biology, Elsevier, vol. 83(C), pages 30-38.
    5. Kobayashi, Yutaka & Ohtsuki, Hisashi & Wakano, Joe Y., 2016. "Population size vs. social connectedness — A gene-culture coevolutionary approach to cumulative cultural evolution," Theoretical Population Biology, Elsevier, vol. 111(C), pages 87-95.
    6. Kobayashi, Yutaka & Ohtsuki, Hisashi, 2014. "Evolution of social versus individual learning in a subdivided population revisited: Comparative analysis of three coexistence mechanisms using the inclusive-fitness method," Theoretical Population Biology, Elsevier, vol. 92(C), pages 78-87.
    7. Aoki, Kenichi, 2015. "Modeling abrupt cultural regime shifts during the Palaeolithic and Stone Age," Theoretical Population Biology, Elsevier, vol. 100(C), pages 6-12.
    8. Pieter Berg & TuongVan Vu & Lucas Molleman, 2024. "Unpredictable benefits of social information can lead to the evolution of individual differences in social learning," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    9. Guzmán, Ricardo Andrés & Rodríguez-Sickert, Carlos & Rowthorn, Robert, 2006. "When in Rome, do as the Romans do: the coevolution of altruistic punishment, conformist learning, and cooperation," MPRA Paper 2037, University Library of Munich, Germany.
    10. Baldini, Ryan, 2013. "Two success-biased social learning strategies," Theoretical Population Biology, Elsevier, vol. 86(C), pages 43-49.
    11. Wakano, Joe Y. & Kawasaki, Kohkichi & Shigesada, Nanako & Aoki, Kenichi, 2011. "Coexistence of individual and social learners during range expansion," Theoretical Population Biology, Elsevier, vol. 80(2), pages 132-140.
    12. Borofsky, Talia & Feldman, Marcus W., 2022. "Success-biased social learning in a one-consumer, two-resource model," Theoretical Population Biology, Elsevier, vol. 146(C), pages 29-35.
    13. Wakano, Joe Yuichiro & Gilpin, William & Kadowaki, Seiji & Feldman, Marcus W. & Aoki, Kenichi, 2018. "Ecocultural range-expansion scenarios for the replacement or assimilation of Neanderthals by modern humans," Theoretical Population Biology, Elsevier, vol. 119(C), pages 3-14.
    14. Nakamura, Mitsuhiro & Wakano, Joe Yuichiro & Aoki, Kenichi & Kobayashi, Yutaka, 2020. "The popularity spectrum applied to a cross-cultural question," Theoretical Population Biology, Elsevier, vol. 133(C), pages 104-116.
    15. Takahashi, Takuya & Ihara, Yasuo, 2022. "Application of a Markovian ancestral model to the temporal and spatial dynamics of cultural evolution on a population network," Theoretical Population Biology, Elsevier, vol. 143(C), pages 14-29.
    16. Susan E. Perry & Alecia Carter & Jacob Foster & Sabine Noebel & Marco Smolla, 2022. "What makes inventions become traditions?," Post-Print hal-03947000, HAL.
    17. N. Marshall & I. Gordon & A. Ash, 2011. "The reluctance of resource-users to adopt seasonal climate forecasts to enhance resilience to climate variability on the rangelands," Climatic Change, Springer, vol. 107(3), pages 511-529, August.
    18. Ricardo Guzman & Robert Rowthorn & Carlos Rodríguez Sickert, 2008. "Teorías De La Evolución Del Comportamiento Cooperativo: Una Revisión Crítica," Abante, Escuela de Administracion. Pontificia Universidad Católica de Chile., vol. 11(1), pages 3-18.
    19. Sally E. Street & Tuomas Eerola & Jeremy R. Kendal, 2022. "The role of population size in folk tune complexity," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    20. Badaoui, Eliane & Mangiavacchi, Lucia, 2022. "Assessing the impact of fostering on children’s outcomes in Niger," Economics & Human Biology, Elsevier, vol. 46(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:thpobi:v:116:y:2017:i:c:p:33-46. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.