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Comparing the Dictyostelium and Entamoeba Genomes Reveals an Ancient Split in the Conosa Lineage

Overview of attention for article published in PLoS Computational Biology, December 2005
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Title
Comparing the Dictyostelium and Entamoeba Genomes Reveals an Ancient Split in the Conosa Lineage
Published in
PLoS Computational Biology, December 2005
DOI 10.1371/journal.pcbi.0010071
Pubmed ID
Authors

Jie Song, Qikai Xu, Rolf Olsen, William F Loomis, Gad Shaulsky, Adam Kuspa, Richard Sucgang

Abstract

The Amoebozoa are a sister clade to the fungi and the animals, but are poorly sampled for completely sequenced genomes. The social amoeba Dictyostelium discoideum and amitochondriate pathogen Entamoeba histolytica are the first Amoebozoa with genomes completely sequenced. Both organisms are classified under the Conosa subphylum. To identify Amoebozoa-specific genomic elements, we compared these two genomes to each other and to other eukaryotic genomes. An expanded phylogenetic tree built from the complete predicted proteomes of 23 eukaryotes places the two amoebae in the same lineage, although the divergence is estimated to be greater than that between animals and fungi, and probably happened shortly after the Amoebozoa split from the opisthokont lineage. Most of the 1,500 orthologous gene families shared between the two amoebae are also shared with plant, animal, and fungal genomes. We found that only 42 gene families are distinct to the amoeba lineage; among these are a large number of proteins that contain repeats of the FNIP domain, and a putative transcription factor essential for proper cell type differentiation in D. discoideum. These Amoebozoa-specific genes may be useful in the design of novel diagnostics and therapies for amoebal pathologies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Germany 1 3%
Brazil 1 3%
Mexico 1 3%
Spain 1 3%
United States 1 3%
Unknown 32 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 21%
Student > Ph. D. Student 8 21%
Professor > Associate Professor 6 15%
Student > Doctoral Student 4 10%
Student > Bachelor 3 8%
Other 5 13%
Unknown 5 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 62%
Biochemistry, Genetics and Molecular Biology 6 15%
Arts and Humanities 1 3%
Computer Science 1 3%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 5 13%