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Multiple origins of endosymbiosis within the Enterobacteriaceae (γ-Proteobacteria): convergence of complex phylogenetic approaches

Overview of attention for article published in BMC Biology, December 2011
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Title
Multiple origins of endosymbiosis within the Enterobacteriaceae (γ-Proteobacteria): convergence of complex phylogenetic approaches
Published in
BMC Biology, December 2011
DOI 10.1186/1741-7007-9-87
Pubmed ID
Authors

Filip Husník, Tomáš Chrudimský, Václav Hypša

Abstract

The bacterial family Enterobacteriaceae gave rise to a variety of symbiotic forms, from the loosely associated commensals, often designated as secondary (S) symbionts, to obligate mutualists, called primary (P) symbionts. Determination of the evolutionary processes behind this phenomenon has long been hampered by the unreliability of phylogenetic reconstructions within this group of bacteria. The main reasons have been the absence of sufficient data, the highly derived nature of the symbiont genomes and lack of appropriate phylogenetic methods. Due to the extremely aberrant nature of their DNA, the symbiotic lineages within Enterobacteriaceae form long branches and tend to cluster as a monophyletic group. This state of phylogenetic uncertainty is now improving with an increasing number of complete bacterial genomes and development of new methods. In this study, we address the monophyly versus polyphyly of enterobacterial symbionts by exploring a multigene matrix within a complex phylogenetic framework.

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Mendeley readers

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 3%
United States 3 2%
Czechia 3 2%
Spain 2 1%
Italy 1 <1%
Sweden 1 <1%
Brazil 1 <1%
Norway 1 <1%
Mexico 1 <1%
Other 3 2%
Unknown 133 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 21%
Researcher 31 20%
Student > Master 20 13%
Student > Bachelor 15 10%
Professor 14 9%
Other 34 22%
Unknown 8 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 106 69%
Biochemistry, Genetics and Molecular Biology 17 11%
Environmental Science 4 3%
Computer Science 2 1%
Mathematics 1 <1%
Other 6 4%
Unknown 18 12%