Title |
Keys to Eukaryality: Planctomycetes and Ancestral Evolution of Cellular Complexity
|
---|---|
Published in |
Frontiers in Microbiology, January 2012
|
DOI | 10.3389/fmicb.2012.00167 |
Pubmed ID | |
Authors |
John A. Fuerst, Evgeny Sagulenko |
Abstract |
Planctomycetes are known to display compartmentalization via internal membranes, thus resembling eukaryotes. Significantly, the planctomycete Gemmata obscuriglobus has not only a nuclear region surrounded by a double-membrane, but is also capable of protein uptake via endocytosis. In order to clearly analyze implications for homology of their characters with eukaryotes, a correct understanding of planctomycete structure is an essential starting point. Here we outline the major features of such structure necessary for assessing the case for or against homology with eukaryote cell complexity. We consider an evolutionary model for cell organization involving reductive evolution of Planctomycetes from a complex proto-eukaryote-like last universal common ancestor, and evaluate alternative models for origins of the unique planctomycete cell plan. Overall, the structural and molecular evidence is not consistent with convergent evolution of eukaryote-like features in a bacterium and favors a homologous relationship of Planctomycetes and eukaryotes. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 75% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
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Scientists | 3 | 75% |
Members of the public | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Portugal | 1 | 1% |
Germany | 1 | 1% |
Australia | 1 | 1% |
Czechia | 1 | 1% |
United Kingdom | 1 | 1% |
Russia | 1 | 1% |
United States | 1 | 1% |
Unknown | 68 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 14 | 19% |
Researcher | 13 | 17% |
Student > Bachelor | 9 | 12% |
Student > Doctoral Student | 7 | 9% |
Professor | 7 | 9% |
Other | 16 | 21% |
Unknown | 9 | 12% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 42 | 56% |
Biochemistry, Genetics and Molecular Biology | 10 | 13% |
Immunology and Microbiology | 4 | 5% |
Medicine and Dentistry | 2 | 3% |
Computer Science | 1 | 1% |
Other | 5 | 7% |
Unknown | 11 | 15% |