Literature DB >> 29140552

The influence of phylogeny, social style, and sociodemographic factors on macaque social network structure.

Krishna N Balasubramaniam1, Brianne A Beisner1,2, Carol M Berman3, Arianna De Marco4, Julie Duboscq5,6, Sabina Koirala7, Bonaventura Majolo8, Andrew J MacIntosh5,6, Richard McFarland9, Sandra Molesti10, Hideshi Ogawa11, Odile Petit12, Gabriele Schino13, Sebastian Sosa14, Cédric Sueur15, Bernard Thierry15, Frans B M de Waal16, Brenda McCowan1,2.   

Abstract

Among nonhuman primates, the evolutionary underpinnings of variation in social structure remain debated, with both ancestral relationships and adaptation to current conditions hypothesized to play determining roles. Here we assess whether interspecific variation in higher-order aspects of female macaque (genus: Macaca) dominance and grooming social structure show phylogenetic signals, that is, greater similarity among more closely-related species. We use a social network approach to describe higher-order characteristics of social structure, based on both direct interactions and secondary pathways that connect group members. We also ask whether network traits covary with each other, with species-typical social style grades, and/or with sociodemographic characteristics, specifically group size, sex-ratio, and current living condition (captive vs. free-living). We assembled 34-38 datasets of female-female dyadic aggression and allogrooming among captive and free-living macaques representing 10 species. We calculated dominance (transitivity, certainty), and grooming (centrality coefficient, Newman's modularity, clustering coefficient) network traits as aspects of social structure. Computations of K statistics and randomization tests on multiple phylogenies revealed moderate-strong phylogenetic signals in dominance traits, but moderate-weak signals in grooming traits. GLMMs showed that grooming traits did not covary with dominance traits and/or social style grade. Rather, modularity and clustering coefficient, but not centrality coefficient, were strongly predicted by group size and current living condition. Specifically, larger groups showed more modular networks with sparsely-connected clusters than smaller groups. Further, this effect was independent of variation in living condition, and/or sampling effort. In summary, our results reveal that female dominance networks were more phylogenetically conserved across macaque species than grooming networks, which were more labile to sociodemographic factors. Such findings narrow down the processes that influence interspecific variation in two core aspects of macaque social structure. Future directions should include using phylogeographic approaches, and addressing challenges in examining the effects of socioecological factors on primate social structure.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  group size; macaques; phylogenetic signals; social networks; social style

Mesh:

Year:  2017        PMID: 29140552     DOI: 10.1002/ajp.22727

Source DB:  PubMed          Journal:  Am J Primatol        ISSN: 0275-2565            Impact factor:   2.371


  10 in total

1.  The use of multilayer network analysis in animal behaviour.

Authors:  Kelly R Finn; Matthew J Silk; Mason A Porter; Noa Pinter-Wollman
Journal:  Anim Behav       Date:  2019-02-05       Impact factor: 2.844

2.  Tolerant and intolerant macaques show different levels of structural complexity in their vocal communication.

Authors:  Nancy Rebout; Arianna De Marco; Jean-Christophe Lone; Andrea Sanna; Roberto Cozzolino; Jérôme Micheletta; Elisabeth H M Sterck; Jan A M Langermans; Alban Lemasson; Bernard Thierry
Journal:  Proc Biol Sci       Date:  2020-06-10       Impact factor: 5.349

3.  Female social structure influences, and is influenced by, male introduction and integration success among captive rhesus macaques (Macaca mulatta).

Authors:  Krishna N Balasubramaniam; Brianne A Beisner; Brenda McCowan; Mollie A Bloomsmith
Journal:  Behaviour       Date:  2021-07-23       Impact factor: 1.672

4.  Impact of joint interactions with humans and social interactions with conspecifics on the risk of zooanthroponotic outbreaks among wildlife populations.

Authors:  Krishna N Balasubramaniam; Nalina Aiempichitkijkarn; Stefano S K Kaburu; Pascal R Marty; Brianne A Beisner; Eliza Bliss-Moreau; Malgorzata E Arlet; Edward Atwill; Brenda McCowan
Journal:  Sci Rep       Date:  2022-07-08       Impact factor: 4.996

5.  Construct social-behavioral association network to study management impact on waterbirds community ecology using digital video recording cameras.

Authors:  Muhammad Awais Rasool; Xiaobo Zhang; Muhammad Azher Hassan; Tanveer Hussain; Cai Lu; Qing Zeng; Boyong Peng; Li Wen; Guangchun Lei
Journal:  Ecol Evol       Date:  2021-02-01       Impact factor: 2.912

6.  Cofeeding tolerance in chimpanzees depends on group composition: a longitudinal study across four communities.

Authors:  Sarah E DeTroy; Cody T Ross; Katherine A Cronin; Edwin J C van Leeuwen; Daniel B M Haun
Journal:  iScience       Date:  2021-02-12

7.  Impact of individual demographic and social factors on human-wildlife interactions: a comparative study of three macaque species.

Authors:  Krishna N Balasubramaniam; Pascal R Marty; Shelby Samartino; Alvaro Sobrino; Taniya Gill; Mohammed Ismail; Rajarshi Saha; Brianne A Beisner; Stefano S K Kaburu; Eliza Bliss-Moreau; Malgorzata E Arlet; Nadine Ruppert; Ahmad Ismail; Shahrul Anuar Mohd Sah; Lalit Mohan; Sandeep K Rattan; Ullasa Kodandaramaiah; Brenda McCowan
Journal:  Sci Rep       Date:  2020-12-15       Impact factor: 4.379

Review 8.  Measuring dominance certainty and assessing its impact on individual and societal health in a nonhuman primate model: a network approach.

Authors:  Brenda McCowan; Jessica Vandeleest; Krishna Balasubramaniam; Fushing Hsieh; Amy Nathman; Brianne Beisner
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2022-01-10       Impact factor: 6.237

Review 9.  Monkey business: A girl's once strange dream.

Authors:  Carol M Berman
Journal:  Primates       Date:  2022-08-04       Impact factor: 1.781

10.  A multiplex centrality metric for complex social networks: sex, social status, and family structure predict multiplex centrality in rhesus macaques.

Authors:  Brianne Beisner; Niklas Braun; Márton Pósfai; Jessica Vandeleest; Raissa D'Souza; Brenda McCowan
Journal:  PeerJ       Date:  2020-03-16       Impact factor: 2.984

  10 in total

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