Infectious disease and group size: more than just a numbers game

Increased risk of infectious disease is assumed to be a major cost of group living, yet empirical evidence for this effect is mixed. We studied whether larger social groups are more subdivided structurally. If so, the social subdivisions that form in larger groups may act as barriers to the spread of infection, weakening the association between group size and infectious disease. To investigate this ‘social bottleneck’ hypothesis, we examined the association between group size and four network structure metrics in 43 vertebrate and invertebrate species. We focused on metrics involving modularity, clustering, distance and centralization. In a meta-analysis of intraspecific variation in social networks, modularity showed positive associations with network size, with a weaker but still positive effect in cross-species analyses. Network distance also showed a positive association with group size when using intraspecific variation. We then used a theoretical model to explore the effects of subgrouping relative to other effects that influence disease spread in socially structured populations. Outbreaks reached higher prevalence when groups were larger, but subgrouping reduced prevalence. Subgrouping also acted as a ‘brake’ on disease spread between groups. We suggest research directions to understand the conditions under which larger groups become more subdivided, and to devise new metrics that account for subgrouping when investigating the links between sociality and infectious disease risk.     

Social semantics: toward a genuine pluralism in the study of social behaviour

Pluralism is the coexistence of equivalent theoretical frameworks, either because they are historically entrenched or because they achieve separate insights by viewing the same process in different ways. A recent article by West et al. [Journal of Evolutionary Biology (2007) vol. 20, 415-432] attempts to classify the many equivalent frameworks that have been developed to study the evolution of social behaviour. This article addresses shortcomings in the West et al.'s article, especially with respect to multilevel selection, in a common effort to maximize the benefits of pluralism while minimizing the semantic costs.     

Behavioural phenotype affects social interactions in an animal network

Animal social networks can be extremely complex and are characterized by highly non-random interactions between group members. However, very little is known about the underlying factors affecting interaction preferences, and hence network structure. One possibility is that behavioural differences between individuals, such as how bold or shy they are, can affect the frequency and distribution of their interactions within a network. We tested this using individually marked three-spined sticklebacks (Gasterosteus aculeatus), and found that bold individuals had fewer overall interactions than shy fish, but tended to distribute their interactions more evenly across all group members. Shy fish, on the other hand, tended to associate preferentially with a small number of other group members, leading to a highly skewed distribution of interactions. This was mediated by the reduced tendency of shy fish to move to a new location within the tank when they were interacting with another individual; bold fish showed no such tendency and were equally likely to move irrespective of whether they were interacting or not. The results show that animal social network structure can be affected by the behavioural composition of group members and have important implications for understanding the spread of information and disease in social groups.     

Exploiting new terrain: an advantage to sociality in the slime mold Dictyostelium discoideum

Understanding the ecological benefits of social actions is centralto explaining the evolution of social behavior. The social amoebaDictyostelium discoideum has been well studied and is a modelfor social evolution and development, but surprisingly littleis known about its ecology. When starving, thousands of thenormally solitary amoebae aggregate to form a differentiatedmulticellular organism known as a slug. The slug migrates towardthe soil surface where it metamorphoses into a fruiting bodyof hardy spores held up by a dead stalk comprising about one-fifthof the cells. Multicellularity in D. discoideum is thought tohave evolved to lift the spores above the hazards of the soilwhere spores can be picked up for long-distance dispersal. Here,we show that multicellularity has another advantage: local dispersalto new food sources. We find that cells shed by D. discoideumslugs during migration consume and remove bacteria in the pathof the slug, although slugs themselves do not breakup. We alsoshow that slugs are adept at local dispersal by comparing migrationof slugs with migration of individual cells of the mutant, CAP2,which cannot aggregate and so rely only on cellular movement.In particular, the solitary cells of the aggregation mutantare unable to cross a soil barrier, easily crossed by slugs.We propose that the exploitation of local food patches is animportant selective benefit favoring multicellular cooperationin D. discoideum.     

Machine analysis of facial behaviour: naturalistic and dynamic behaviour

This article introduces recent advances in the machine analysis of facial expressions. It describes the problem space, surveys the problem domain and examines the state of the art. Two recent research topics are discussed with particular attention: analysis of facial dynamics and analysis of naturalistic (spontaneously displayed) facial behaviour. Scientific and engineering challenges in the field in general, and in these specific subproblem areas in particular, are discussed and recommendations for accomplishing a better facial expression measurement technology are outlined.     

Assessment of haemophilic arthropathy through balance analysis: a promising tool

The purpose of this study was to develop a tool able to distinguish between subjects who have haemophilic arthropathy in lower limbs and those who do not by analyzing the centre of pressure displacement. The second objective was to assess the possible different responses of haemophiliacs and healthy subjects by creating a classifier that could distinguish between both groups. Fifty-four haemophilic patients (28 with and 26 without arthropathy) and 23 healthy subjects took part voluntarily in the study. A force plate was used to measure postural stability. A total of 276 centre of pressure displacement parameters were calculated under different conditions: unipedal/bipedal balance with eyes open/closed. These parameters were used to design a Quadratic Discriminant Analysis classifier. The arthropathy versus non-arthropathy classifier had an overall accuracy of 97.5% when only 10 features were used in its design. Similarly, the haemophiliac versus non-haemophiliac classifier had an overall accuracy of 97.2% when only 7 features were used. In conclusion, an objective haemophilic arthropathy in lower limbs evaluation system was developed by analyzing centre of pressure displacement signals. The haemophiliac vs. non-haemophiliac classifier designed was also able to corroborate the existing differences in postural control between haemophilic patients (with and without arthropathy) and healthy subjects.     

Marmot phylogeny revisited: molecular evidence for a diphyletic origin of sociality

We established the phylogeny of 11 species of the genus Marmota based on the entire sequence of the mitochondrial cytochrome b ( cyt-b ) gene (1.1 kb) and a partial sequence of the NADH dehydrogenase subunit 4 ( ND4 ) gene (1.2 kb). In three species ( Marmota caligata , Marmota olympus , and Marmota bobac ) full-sized nuclear pseudogenes of the mitochondrial cyt-b were identified. The mitochondrial cyt-b genes and the three pseudogenes form separate clusters in the maximum parsimony dendrogram. This finding suggests that the pseudogenes originated from a single transfer to the nucleus that may have occurred prior to the radiation of the genus Marmota . Notably, compared with their functional mitochondrial equivalents the pseudogenes show a much lower substitution rate. In the dendrograms deduced from the mitochondrial sequences two distinct clusters become apparent: one cluster consists of the North-west American species, the other contains the Eurasian species together with the North American species Marmota monax . The position of M. monax as a member of the Eurasian clade is in accordance with the evolution of chromosome numbers. The results are of special interest with respect to the evolution of social systems in the genus that vary from solitary species ( M. monax ) to highly social species living in family groups (e.g. Marmota marmota ). The molecular phylogeny suggests a diphyletic origin of high sociality in the genus Marmota .     

Processing power limits social group size: computational evidence for the cognitive costs of sociality

Sociality is primarily a coordination problem. However, the social (or communication) complexity hypothesis suggests that the kinds of information that can be acquired and processed may limit the size and/or complexity of social groups that a species can maintain. We use an agent-based model to test the hypothesis that the complexity of information processed influences the computational demands involved. We show that successive increases in the kinds of information processed allow organisms to break through the glass ceilings that otherwise limit the size of social groups: larger groups can only be achieved at the cost of more sophisticated kinds of information processing that are disadvantageous when optimal group size is small. These results simultaneously support both the social brain and the social complexity hypotheses.