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Lateral gene transfer between prokaryotes and multicellular eukaryotes: ongoing and significant?

Overview of attention for article published in BMC Biology, May 2009
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Title
Lateral gene transfer between prokaryotes and multicellular eukaryotes: ongoing and significant?
Published in
BMC Biology, May 2009
DOI 10.1186/1741-7007-7-20
Pubmed ID
Authors

Vera ID Ros, Gregory DD Hurst

Abstract

The expansion of genome sequencing projects has produced accumulating evidence for lateral transfer of genes between prokaryotic and eukaryotic genomes. However, it remains controversial whether these genes are of functional importance in their recipient host. Nikoh and Nakabachi, in a recent paper in BMC Biology, take a first step and show that two genes of bacterial origin are highly expressed in the pea aphid Acyrthosiphon pisum. Active gene expression of transferred genes is supported by three other recent studies. Future studies should reveal whether functional proteins are produced and whether and how these are targeted to the appropriate compartment. We argue that the transfer of genes between host and symbiont may occasionally be of great evolutionary importance, particularly in the evolution of the symbiotic interaction itself.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
Germany 3 3%
Spain 3 3%
Czechia 2 2%
United Kingdom 2 2%
Netherlands 1 <1%
Brazil 1 <1%
Turkey 1 <1%
Mexico 1 <1%
Other 0 0%
Unknown 92 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 28%
Researcher 24 21%
Student > Bachelor 11 10%
Professor > Associate Professor 11 10%
Student > Master 8 7%
Other 19 17%
Unknown 8 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 71%
Biochemistry, Genetics and Molecular Biology 11 10%
Environmental Science 4 4%
Immunology and Microbiology 2 2%
Computer Science 1 <1%
Other 6 5%
Unknown 9 8%