A Social Network Approach Reveals Associations between Mouse Social Dominance and Brain Gene Expression

作者: Nina So , Becca Franks , Sean Lim , James P Curley , None

DOI: 10.1371/JOURNAL.PONE.0134509

关键词:

摘要: Modelling complex social behavior in the laboratory is challenging and requires analyses of dyadic interactions occurring over time a physically socially environment. In current study, we approached group-housed male CD1 mice living large vivarium. Intensive observations during 3-week period indicated that form highly linear steep dominance hierarchy maintained by fighting chasing behaviors. Individual animals were classified as dominant, sub-dominant or subordinate according to their David’s Scores I& SI ranking. Using novel dynamic temporal Glicko rating method, ascertained was stable across time. network analyses, characterized individuals within 66 unique relationships group. We identified two individual metrics, Kleinberg’s Hub Centrality Bonacich’s Power Centrality, accurate predictors power. Comparing behaviors, establish agonistic, grooming sniffing networks possess own distinctive characteristics terms density, average path length, reciprocity out-degree centralization out-closeness centralization. Though ties between largely independent other networks, predictive directionality agonistic relationships. variation status associated with brain gene expression, more dominant having higher levels corticotropin releasing factor mRNA medial central nuclei amygdala preoptic area hypothalamus, well hippocampal glucocorticoid receptor brain-derived neurotrophic mRNA. This study demonstrates potential significance combining housing intensive behavioral characterization group-living utilization statistical methods further our understanding neurobiological basis at individual, relationship group levels.

参考文章(111)
Tamás Nepusz, Gábor Csárdi, The igraph software package for complex network research InterJournal Complex Systems. ,vol. 1695, ,(2006)
George Paxinos, Keith B. J. Franklin, Paxinos and Franklin's the Mouse Brain in Stereotaxic Coordinates ,(2012)
Robert A. Hanneman, Introduction to Social Network Methods ,(2001)
Carter T. Butts, Bernoulli Graph Bounds for General Random Graphs Sociological Methodology. ,vol. 41, pp. 299- 345 ,(2011) , 10.1111/J.1467-9531.2011.01246.X
Gudrun Liebsch, Rainer Landgraf, Rüdiger Gerstberger, J.Christopher Probst, Carsten T. Wotjak, Mario Engelmann, Florian Holsboer, Alexandra Montkowski, Chronic infusion of a CRH1 receptor antisense oligodeoxynucleotide into the central nucleus of the amygdala reduced anxiety-related behavior in socially defeated rats. Regulatory Peptides. ,vol. 59, pp. 229- 239 ,(1995) , 10.1016/0167-0115(95)00099-W
Kelly A. Frazer, Eleazar Eskin, Hyun Min Kang, Molly A. Bogue, David A. Hinds, Erica J. Beilharz, Robert V. Gupta, Julie Montgomery, Matt M. Morenzoni, Geoffrey B. Nilsen, Charit L. Pethiyagoda, Laura L. Stuve, Frank M. Johnson, Mark J. Daly, Claire M. Wade, David R. Cox, A sequence-based variation map of 8.27 million SNPs in inbred mouse strains Nature. ,vol. 448, pp. 1050- 1053 ,(2007) , 10.1038/NATURE06067
Yair Shemesh, Yehezkel Sztainberg, Oren Forkosh, Tamar Shlapobersky, Alon Chen, Elad Schneidman, Correction: High-order social interactions in groups of mice eLife. ,vol. 3, ,(2014) , 10.7554/ELIFE.03602