Monday, February 28, 2011

Paper: Who Spreads Parasites in Lizards?

Little is known about how parasites are spread through in host populations. Spread patterns should depend on host contact patterns. Social network analysis provides great tools for modeling parasite and pathogen transmission in host populations. Theoretically, highly connected individuals are in greater risk of being infected.

In a recent paper in the Journal of Animal Ecology, Fenner et al. describe the infection patterns of a tick and a nematode in the pygmy bluetongue lizard (Tiliqua adelaidensis), a solitary lizard from South Australia. These lizards don't move much, staying in burrows most of the time.
A relative: the blotched bluetongue lizard
The authors used 3 plots representing sub-populations in the same area. In the only plot in which ticks were found on lizards, lizards that had more or closer neighbors, i.e. more connected, had more ticks. Stable resident hosts were more important than dispersers in influencing tick distribution.

For nematodes there was support for the role of dispersers - infected hosts were more connected to dispersers. This suggests there are different transmission pathways for different parasites, possibly due to differences in parasites survival times.

To summarize, this paper shows the strength of network analysis in exploring alternative hypotheses about the dynamics of infection patterns. It also exposes once again the dependence of the result on the way the network was defined - in this case the distances between burrows of lizards.

Saturday, February 19, 2011

Paper: Network Analysis of Songbird Dialects

Today I am glad to present a paper by Yoktan et al. to which I have contributed the network analysis. This work describes the different dialects of songs of the orange-tufted sunbird in Israel. More than 100 years ago, sunbirds were found only in the southernmost parts of the Rift Valley in Israel, in the Arava and some oases to the north, such as Ein Gedi. The Zionist settlement in many small villages (kibbutz & moshav) along the Rift allowed the expansion of sunbirds as gardening in these settlements introduced many species of ornithophilous plants.


In this study we have recorded singing male sunbirds in many locations along the Rift and analyzed the spectrogram of their trill component. We found that each location had a slightly different dialect, and built a network of locations according to their dialects. We used data of the distance between each two dialects as the basic matrix. Since we had a full matrix, we had to set some threshold in order to remove some of the ties and get a meaningful network. We set the threshold to be the largest distance that still allowed all locations to be connected as one component, in order to be able to relate each location to the others.

The trills in different locations
The network of locations by song distances revealed locations that are "connected", i.e. their songs are relatively similar, while other locations were "disconnected" - their songs were quite different from each other. This network shows that there are "communities" of locations with similar songs (we determined the communities using the Girvan-Newman algorithm). Some of these communities consist of locations from the same geographical region, while others have a mix of locations from different regions. The locations in the Arava valley, the natural habitat of the sunbirds before the expansion, all belong to the same community. From there began the habitat expansion to the north. Three of the most isolated locations in the network indeed represent villages in the extreme north, suggesting these sunbirds do not interact much with more southern populations. Also interesting are the locations along the dead sea: sunbirds were present in Ein Gedi before the settlements, and their songs closely resemble the Arava songs. However, the songs of nearby Kaliya and Mitzpe Shalem, which were settled in the 1970s', are found in a different community, together with northern settlements, suggesting that these two locations were inhabited by sunbirds coming back from the north, and not directly from Ein Gedi.

The network of locations according to sunbird songs
Another interesting finding is that network centrality, which depicts how central were locations of singers in the network, was negatively correlated with genetic variability. This fact implies that the most central locations in terms of song dialects, which are Ein Gedi, Bet Zera and Sede Eliezer, host established populations of sunbirds which resist intruders. These locations are probably a source of dispersal to other places.
Overall, our results support the historical processes hypothesis of dialect formation, which predict song dialects of nearby locations which were occupied at the same time to be similar. This work illustrates the power of network analysis in describing not only social relations between animals, but also other types of relations. I believe it could be useful for many other types of analyses.