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Repeated adaptive divergence of microhabitat specialization in avian feather lice

Overview of attention for article published in BMC Biology, June 2012
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Title
Repeated adaptive divergence of microhabitat specialization in avian feather lice
Published in
BMC Biology, June 2012
DOI 10.1186/1741-7007-10-52
Pubmed ID
Authors

Kevin P Johnson, Scott M Shreve, Vincent S Smith

Abstract

Repeated adaptive radiations are evident when phenotypic divergence occurs within lineages, but this divergence into different forms is convergent when compared across lineages. Classic examples of such repeated adaptive divergence occur in island (for example, Caribbean Anolis lizards) and lake systems (for example, African cichlids). Host-parasite systems in many respects are analogous to island systems, where host species represent isolated islands for parasites whose life cycle is highly tied to that of their hosts. Thus, host-parasite systems might exhibit interesting cases of repeated adaptive divergence as seen in island and lake systems.The feather lice of birds spend their entire life cycle on the body of the host and occupy distinct microhabitats on the host: head, wing, body and generalist. These microhabitat specialists show pronounced morphological differences corresponding to how they escape from host preening. We tested whether these different microhabitat specialists were a case of repeated adaptive divergence by constructing both morphological and molecular phylogenies for a diversity of avian feather lice, including many examples of head, wing, body and generalist forms.

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Geographical breakdown

Country Count As %
United Kingdom 3 3%
Portugal 2 2%
United States 2 2%
Spain 2 2%
Czechia 1 1%
Brazil 1 1%
Unknown 87 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 26%
Researcher 18 18%
Student > Master 17 17%
Student > Bachelor 8 8%
Student > Postgraduate 5 5%
Other 17 17%
Unknown 8 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 65%
Biochemistry, Genetics and Molecular Biology 8 8%
Environmental Science 6 6%
Immunology and Microbiology 2 2%
Computer Science 2 2%
Other 3 3%
Unknown 13 13%