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Diversifying selection and host adaptation in two endosymbiont genomes

Overview of attention for article published in BMC Ecology and Evolution, April 2007
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Title
Diversifying selection and host adaptation in two endosymbiont genomes
Published in
BMC Ecology and Evolution, April 2007
DOI 10.1186/1471-2148-7-68
Pubmed ID
Authors

Jeremy C Brownlie, Marcin Adamski, Barton Slatko, Elizabeth A McGraw

Abstract

The endosymbiont Wolbachia pipientis infects a broad range of arthropod and filarial nematode hosts. These diverse associations form an attractive model for understanding host:symbiont coevolution. Wolbachia's ubiquity and ability to dramatically alter host reproductive biology also form the foundation of research strategies aimed at controlling insect pests and vector-borne disease. The Wolbachia strains that infect nematodes are phylogenetically distinct, strictly vertically transmitted, and required by their hosts for growth and reproduction. Insects in contrast form more fluid associations with Wolbachia. In these taxa, host populations are most often polymorphic for infection, horizontal transmission occurs between distantly related hosts, and direct fitness effects on hosts are mild. Despite extensive interest in the Wolbachia system for many years, relatively little is known about the molecular mechanisms that mediate its varied interactions with different hosts. We have compared the genomes of the Wolbachia that infect Drosophila melanogaster, wMel and the nematode Brugia malayi, wBm to that of an outgroup Anaplasma marginale to identify genes that have experienced diversifying selection in the Wolbachia lineages. The goal of the study was to identify likely molecular mechanisms of the symbiosis and to understand the nature of the diverse association across different hosts.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Portugal 1 <1%
Netherlands 1 <1%
Switzerland 1 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Spain 1 <1%
United States 1 <1%
Other 0 0%
Unknown 110 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 26%
Researcher 31 26%
Student > Master 13 11%
Professor 9 8%
Professor > Associate Professor 7 6%
Other 21 18%
Unknown 8 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 82 68%
Biochemistry, Genetics and Molecular Biology 10 8%
Environmental Science 5 4%
Unspecified 2 2%
Engineering 2 2%
Other 8 7%
Unknown 11 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 December 2011.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from BMC Ecology and Evolution
#3,267
of 3,714 outputs
Outputs of similar age
#80,467
of 86,016 outputs
Outputs of similar age from BMC Ecology and Evolution
#28
of 28 outputs
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