Despite the numerous studies on large-scale relationships within Sylvioidea, the relationships among the families are still largely unresolved.
Spatial analysis of remotely-sensed land cover data in conjunction with species distribution atlases can reveal large-scale relationships between animal taxa and their habitats.
The establishment of Macroben allowed one of the first attempts to search for consistent, large-scale relationships between abundance and distribution of soft-sediment benthic organisms on a pan-European scale.
The reconstruction of several large-scale relationships among eukaryotes (the so-called supergroups) has been partially based on the documentation of shared, rare characteristics such as gene fusions or indels in two or more lineages [ 26- 28].
Assessing large-scale relationships of populations should elucidate the importance of range expansions and contractions in producing the current distribution patterns of species, as well as generate hypotheses regarding the genetic structure and diversity of temperate tree lineages affected by glaciation in the latter part of the Cenozoic.
In a study of large-scale relationships within the avian superfamily Sylvioidea, Alström et al. [ 1] found, based on mitochondrial cytochrome b and nuclear myoglobin intron 2 sequence data, that two species of Cettia and one species each of Urosphena, Tesia, Abroscopus and Tickellia, and Orthotomus cucullatus formed a clade, well separated from a broad selection of other passerines.
The presence of a large-scale population relationship between air pollution and diabetes risk has not been reported.
In this manuscript we describe a methodology for clustering gene expression correlation profiles in the C57Bl/6J mouse cortex to identify large-scale genetic relationships between layers and areas.
By contrast, when senior managers abdicate responsibility for those decisions to IT executives, disaster often ensues: Recall the high-profile instances of botched adoptions of large-scale customer-relationship-management and enterprise-resource-planning systems.
At MIT, J-WAFS stimulates and coordinates water- and food-related research across the entire Institute, by connecting sponsors and collaborators to faculty members and research groups working on problems of mutual interest, and by managing large-scale research relationships.
