scholarly journals The Genome and Methylome of a Beetle with Complex Social Behavior,Nicrophorus vespilloides(Coleoptera: Silphidae)

2015 ◽  
Vol 7 (12) ◽  
pp. 3383-3396 ◽  
Author(s):  
Christopher B. Cunningham ◽  
Lexiang Ji ◽  
R. Axel W. Wiberg ◽  
Jennifer Shelton ◽  
Elizabeth C. McKinney ◽  
...  
2015 ◽  
Author(s):  
Christopher B Cunningham ◽  
Lexiang Ji ◽  
R. Axel W Wiberg ◽  
Jennifer M Shelton ◽  
Elizabeth C McKinney ◽  
...  

Testing for conserved and novel mechanisms underlying phenotypic evolution requires a diversity of genomes available for comparison spanning multiple independent lineages. For example, complex social behavior in insects has been investigated primarily with eusocial lineages, nearly all of which are Hymenoptera. If conserved genomic influences on sociality do exist, we need data from a wider range of taxa that also vary in their levels of sociality. Here we present information on the genome of the subsocial beetle Nicrophorus vespilloides, a species long used to investigate evolutionary questions of complex social behavior. We used this genome to address two questions. First, does life history predict overlap in gene models more strongly than phylogenetic groupings? Second, like other insects with highly developed social behavior but unlike other beetles, does N. vespilloides have DNA methylation? We found the overlap in gene models was similar between N. vespilloides and all other insect groups regardless of life history. Unlike previous studies of beetles, we found strong evidence of DNA methylation, which allows this species to be used to address questions about the potential role of methylation in social behavior. The addition of this genome adds a coleopteran resource to answer questions about the evolution and mechanistic basis of sociality.


2021 ◽  
Vol 8 ◽  
Author(s):  
Joni Pini-Fitzsimmons ◽  
Nathan A. Knott ◽  
Culum Brown

The advent of new technologies and statistical analyses has provided valuable insights into chondrichthyan social behavior. It has become apparent that sharks and rays lead more complex social lives than previously believed. Heterarchy combines hierarchy and social network theory and although it is not a new concept, it is rarely applied to animal social interactions. Here, we applied heterarchy to a case study involving smooth stingrays foraging for fish scraps at boat ramp in Jervis Bay, NSW Australia. We took advantage of their attraction to this site to examine their social behavior during agonistic interactions over the provisioned resource. We observed a stable, relatively linear but shallow dominance hierarchy that was highly transitive dominated by a single individual. Social network analysis revealed a non-random social network centered on the dominant individual. Contrary to previous research, size did not predict dominance, but it was correlated with network centrality. The factors determining dominance of lower ranks were difficult to discern, which is characteristic of despotic societies. This study provides the first heterarchical assessment of stingray sociality, and suggests this species is capable of complex social behavior. Given higher dominance and centrality relate to greater access to the provisioned resource, the observed social structure likely has fitness implications.


BioEssays ◽  
2007 ◽  
Vol 29 (9) ◽  
pp. 837-841 ◽  
Author(s):  
Jennifer A. Bartz ◽  
L. Alison McInnes

1994 ◽  
Vol 8 (2) ◽  
pp. 3-21 ◽  
Author(s):  
Henry J Aaron

Economists should pay more attention to value formation in economic analysis. First, preferences are not stable in any operationally meaningful sense. Any estimated micro behavior that does not take account of the consequences of the behavior on underlying preferences is incapable of serving as a guide to future action. Second, the economist's model of human psychology is inaccurate and misleading. Third, most analyses of complex social behavior start from models incapable of producing empirical results adequate for useful structural analyses. The paper suggests avenues for making progress on each of these issues, beginning with a different approach to utility maximization.


Author(s):  
Itsuka Kamimura ◽  
Ryou Kaneko ◽  
Hidetoshi Morita ◽  
Kazutaka Mogi ◽  
Takefumi Kikusui

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