TY - JOUR
T1 - Genetic, maternal, and environmental influences on sociality in a pedigreed primate population
AU - Godoy, Irene
AU - Korsten, Peter
AU - Perry, Susan E.
N1 - Funding Information:
We thank Holger Schielzeth for comments on an earlier draft of the manuscript, Erik Postma for advice on interpreting outputs from MCMCglmm models run with the “multinomial2” family, Pierre de Villemeruil for guidance on the use of the QGglmm package, and Michael Morrissey and three anonymous reviewers for their comments which helped improve the manuscript. Post-doctoral fellowship and research support was provided to IG by the Bielefeld Young Researcher’s Fund and by the Alexander von Humboldt Foundation. Additional research funding was provided to IG and/or SEP by the International Society for Human Ethology, the National Science Foundation (NSF) (BCS- 1638428, 0613226, 0848360, 1232371, 1919649), the Wenner-Gren Foundation (443831), six grants from the L. S. B. Leakey Foundation (including 2006-0592, 2008-2262, 2011-2644, 2012-0195, 2015-2777), five grants from the National Geographic Society (including 7968-06, 8671-09, 2011-3909), the Templeton World Charity foundation (0208), UCLA Anthropology, UCLA Academic Senate, the Max Planck Institute for Evolutionary Anthropology, and the Wild Capuchin Foundation. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of any of the funding agencies. Don Cohen and SEP constructed and maintain the Lomas Barbudal database. We thank Linda Vigilant and Laura Muniz for their contributions to the genetic dataset. Anette Nicklisch extracted DNA from samples analyzed since 2012. Mimi Arandjelovic and Veronika Städele provided advice on updating genotyping procedures. All genotyping was done by either IG or L. Muniz in the lab of L. Vigilant. We thank the Costa Rican Park Service (SINAC, conservation area Arenal Tempisque) for permission to work in Lomas Barbudal Biological Reserve, and the private landowners who have granted us permission to work on their land (especially Hacienda Pelon, Brin d’Amor and the community of San Ramon de Bagaces). IG and SEP collected behavioral data, but have been assisted by dozens of field assistants across the years who have contributed to the dataset used in these analyses: A. Fuentes-Jimenez, A. Duchesneau, A. Hofner, A. Autor, A. Walker Bolton, A. Cobden, A. Scott, A. Bjorkman, A. Mensing, A. Neyer, B. J. Barrett, B. Pav, B. Davis, C. M. Saul, C. O’Connell, C. de Rango, C. Angyal, C. Holman, C. Hirsch, C. R. Dillis, C. Schmitt, C. Carlson, C. Gault, C. Mitchell, D. Khieninson, D. Works, D. Kerhoas-Essens, D. Wood, D. Negru, D. Bush, E. Seabright, E. Johnson, E. Urquhart, E. Kennedy, E. Rothwell, E. Williams, E. Wikberg, F. McKibben, G. Corradini, G. Dower, G. Viallon, H. Gilkenson, H. Ruffler, I. Schamberg, I. Gottlieb, J. Broesch, J. Vandermeer, J. Mackenzie, J. Shih, J. Williams, J. Fenton, J. Griciute, J. Butler, J. Verge, J. Hubbard, J. Rottman, J. C. Ordoñez Jimenez, J. Damm, K. Stewart, K. Perry, K. Feilen, K. Reinhardt, K. Ratliff, K. Kajokaite, K. Potter, K. van Atta, L. Van Zuidam, L. Wolf, L. Hack, L. Blankenship, L. Maria Guevara, L. Beaudrot, M. Bergstrom, M. Hoffman, M. Mayer, M. Corrales, M. Glenwright, M. Kay, M. Milstein, M. Skuja, M. Ziegler, M. White, M. Jackson, M. Hammel, M. Fuentes, F. Campos, N. Roberts Buceta, N. Donati, N. Schleissmann, N. Parker, O. Jacobson, R. Popa, R. Berl, R. Dower, R. Hammond, S. Fiello, S. Jackson, S. Leinwand, S. Schulze, S. MacCarter, S. Lee, S. Caro, S. Kessler, S. Hyde, S. Sita, S. Lopez, S. Schembari, S. Sanford, S. Koot, S. Herbert, T. Borcuch, T. Fuentes Anaya, T. Lord, V. Vonau, W. Meno, W. Lammers, W. Colby Tucker, William Krimmel, Y. Namba.
Funding Information:
We thank Holger Schielzeth for comments on an earlier draft of the manuscript, Erik Postma for advice on interpreting outputs from MCMCglmm models run with the “multinomial2” family, Pierre de Villemeruil for guidance on the use of the QGglmm package, and Michael Morrissey and three anonymous reviewers for their comments which helped improve the manuscript. Post-doctoral fellowship and research support was provided to IG by the Bielefeld Young Researcher’s Fund and by the Alexander von Humboldt Foundation. Additional research funding was provided to IG and/or SEP by the International Society for Human Ethology, the National Science Foundation (NSF) (BCS- 1638428, 0613226, 0848360, 1232371, 1919649), the Wenner-Gren Foundation (443831), six grants from the L. S. B. Leakey Foundation (including 2006-0592, 2008-2262, 2011-2644, 2012-0195, 2015-2777), five grants from the National Geographic Society (including 7968-06, 8671-09, 2011-3909), the Templeton World Charity foundation (0208), UCLA Anthropology, UCLA Academic Senate, the Max Planck Institute for Evolutionary Anthropology, and the Wild Capuchin Foundation. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of any of the funding agencies. Don Cohen and SEP constructed and maintain the Lomas Barbudal database. We thank Linda Vigilant and Laura Muniz for their contributions to the genetic dataset. Anette Nicklisch extracted DNA from samples analyzed since 2012. Mimi Arandjelovic and Veronika Städele provided advice on updating genotyping procedures. All genotyping was done by either IG or L. Muniz in the lab of L. Vigilant. We thank the Costa Rican Park Service (SINAC, conservation area Arenal Tempisque) for permission to work in Lomas Barbudal Biological Reserve, and the private landowners who have granted us permission to work on their land (especially Hacienda Pelon, Brin d’Amor and the community of San Ramon de Bagaces). IG and SEP collected behavioral data, but have been assisted by dozens of field assistants across the years who have contributed to the dataset used in these analyses: A. Fuentes-Jimenez, A. Duchesneau, A. Hofner, A. Autor, A. Walker Bolton, A. Cobden, A. Scott, A. Bjorkman, A. Mensing, A. Neyer, B. J. Barrett, B. Pav, B. Davis, C. M. Saul, C. O’Connell, C. de Rango, C. Angyal, C. Holman, C. Hirsch, C. R. Dillis, C. Schmitt, C. Carlson, C. Gault, C. Mitchell, D. Khieninson, D. Works, D. Kerhoas-Essens, D. Wood, D. Negru, D. Bush, E. Seabright, E. Johnson, E. Urquhart, E. Kennedy, E. Rothwell, E. Williams, E. Wikberg, F. McKibben, G. Corradini, G. Dower, G. Viallon, H. Gilkenson, H. Ruffler, I. Schamberg, I. Gottlieb, J. Broesch, J. Vandermeer, J. Mackenzie, J. Shih, J. Williams, J. Fenton, J. Griciute, J. Butler, J. Verge, J. Hubbard, J. Rottman, J. C. Ordoñez Jimenez, J. Damm, K. Stewart, K. Perry, K. Feilen, K. Reinhardt, K. Ratliff, K. Kajokaite, K. Potter, K. van Atta, L. Van Zuidam, L. Wolf, L. Hack, L. Blankenship, L. Maria Guevara, L. Beaudrot, M. Bergstrom, M. Hoffman, M. Mayer, M. Corrales, M. Glenwright, M. Kay, M. Milstein, M. Skuja, M. Ziegler, M. White, M. Jackson, M. Hammel, M. Fuentes, F. Campos, N. Roberts Buceta, N. Donati, N. Schleissmann, N. Parker, O. Jacobson, R. Popa, R. Berl, R. Dower, R. Hammond, S. Fiello, S. Jackson, S. Leinwand, S. Schulze, S. MacCarter, S. Lee, S. Caro, S. Kessler, S. Hyde, S. Sita, S. Lopez, S. Schembari, S. Sanford, S. Koot, S. Herbert, T. Borcuch, T. Fuentes Anaya, T. Lord, V. Vonau, W. Meno, W. Lammers, W. Colby Tucker, William Krimmel, Y. Namba.
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/10/1
Y1 - 2022/10/1
N2 - Various aspects of sociality in mammals (e.g., dyadic connectedness) are linked with measures of biological fitness (e.g., longevity). How within- and between-individual variation in relevant social traits arises in uncontrolled wild populations is challenging to determine but is crucial for understanding constraints on the evolution of sociality. We use an advanced statistical method, known as the ‘animal model’, which incorporates pedigree information, to look at social, genetic, and environmental influences on sociality in a long-lived wild primate. We leverage a longitudinal database spanning 20 years of observation on individually recognized white-faced capuchin monkeys (Cebus capucinus imitator), with a multi-generational pedigree. We analyze two measures of spatial association, using repeat sampling of 376 individuals (mean: 53.5 months per subject, range: 6–185 months per subject). Conditioned on the effects of age, sex, group size, seasonality, and El Niño–Southern Oscillation phases, we show low to moderate long-term repeatability (across years) of the proportion of time spent social (posterior mode [95% Highest Posterior Density interval]: 0.207 [0.169, 0.265]) and of average number of partners (0.144 [0.113, 0.181]) (latent scale). Most of this long-term repeatability could be explained by modest heritability (h2social: 0.152 [0.094, 0.207]; h2partners: 0.113 [0.076, 0.149]) with small long-term maternal effects (m2social: 0.000 [0.000, 0.045]; m2partners: 0.000 [0.000, 0.041]). Our models capture the majority of variance in our behavioral traits, with much of the variance explained by temporally changing factors, such as group of residence, highlighting potential limits to the evolvability of our trait due to social and environmental constraints.
AB - Various aspects of sociality in mammals (e.g., dyadic connectedness) are linked with measures of biological fitness (e.g., longevity). How within- and between-individual variation in relevant social traits arises in uncontrolled wild populations is challenging to determine but is crucial for understanding constraints on the evolution of sociality. We use an advanced statistical method, known as the ‘animal model’, which incorporates pedigree information, to look at social, genetic, and environmental influences on sociality in a long-lived wild primate. We leverage a longitudinal database spanning 20 years of observation on individually recognized white-faced capuchin monkeys (Cebus capucinus imitator), with a multi-generational pedigree. We analyze two measures of spatial association, using repeat sampling of 376 individuals (mean: 53.5 months per subject, range: 6–185 months per subject). Conditioned on the effects of age, sex, group size, seasonality, and El Niño–Southern Oscillation phases, we show low to moderate long-term repeatability (across years) of the proportion of time spent social (posterior mode [95% Highest Posterior Density interval]: 0.207 [0.169, 0.265]) and of average number of partners (0.144 [0.113, 0.181]) (latent scale). Most of this long-term repeatability could be explained by modest heritability (h2social: 0.152 [0.094, 0.207]; h2partners: 0.113 [0.076, 0.149]) with small long-term maternal effects (m2social: 0.000 [0.000, 0.045]; m2partners: 0.000 [0.000, 0.041]). Our models capture the majority of variance in our behavioral traits, with much of the variance explained by temporally changing factors, such as group of residence, highlighting potential limits to the evolvability of our trait due to social and environmental constraints.
KW - Animals
KW - Cebus
KW - Mammals
KW - Social Behavior
UR - http://www.scopus.com/inward/record.url?scp=85137506174&partnerID=8YFLogxK
U2 - 10.1038/s41437-022-00558-6
DO - 10.1038/s41437-022-00558-6
M3 - Article
C2 - 36056208
SN - 0018-067X
VL - 129
SP - 203
EP - 214
JO - Heredity
JF - Heredity
IS - 4
ER -