Linear hierarchies, the classical pecking-order structures, are formed readily in both nature and the laboratory in a great range of species including humans. However, the probability of getting linear structures by chance alone is quite low. In this paper we investigate the two hypotheses that are proposed most often to explain linear hierarchies: they are predetermined by differences in the attributes of animals, or they are produced by the dynamics of social interaction, i.e., they are self-organizing. We evaluate these hypotheses using cichlid fish as model animals, and although differences in attributes play a significant part, we find that social interaction is necessary for high proportions of groups with linear hierarchies. Our results suggest that dominance hierarchy formation is a much richer and more complex phenomenon than previously thought, and we explore the implications of these results for evolutionary biology, the social sciences, and the use of animal models in understanding human social organization.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC122842PMC
http://dx.doi.org/10.1073/pnas.082104199DOI Listing

Publication Analysis

Top Keywords

linear hierarchies
12
differences attributes
8
social interaction
8
social
5
individual differences
4
differences versus
4
versus social
4
social dynamics
4
dynamics formation
4
formation animal
4

Similar Publications

Listeners with hearing loss have trouble following a conversation in multitalker environments. While modern hearing aids can generally amplify speech, these devices are unable to tune into a target speaker without first knowing to which speaker a user aims to attend. Brain-controlled hearing aids have been proposed using auditory attention decoding (AAD) methods, but current methods use the same model to compare the speech stimulus and neural response, regardless of the dynamic overlap between talkers which is known to influence neural encoding.

View Article and Find Full Text PDF

Flavonoids are a key class of polyphenols, i.e., phytochemical compounds present in foods and beverages, which have been described as having health benefits in preventing several chronic diseases.

View Article and Find Full Text PDF

Clinical risk prediction models are ubiquitous in many surgical domains. The traditional approach to develop these models involves the use of regression analysis. Machine learning algorithms are gaining in popularity as an alternative approach for prediction and classification problems.

View Article and Find Full Text PDF

, a medicinal herbaceous plant documented in the Chinese Pharmacopoeia, is a promising candidate for research into plant-derived pharmaceuticals. However, the study of newly emerging viruses that threaten the cultivation of remains limited. In this study, plants exhibiting symptoms such as leaf yellowing, mottled leaves, and vein chlorosis were collected and subjected to RNA sequencing to identify potential viral pathogens.

View Article and Find Full Text PDF

Six novel phages belonging to the family were isolated using as a host. Phages MuffinTheCat, Badulia, DesireeRose, Bee17, SCoupsA, and LuzDeMundo were purified from environmental samples by students participating in the Science Education Alliance Phage Hunters Advancing Genomics and Evolutionary Science (SEA-PHAGES) program at Alliance University, New York. The phages have linear dsDNA genomes 15,438-15,636 bp with 112-120 bp inverted terminal repeats.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!