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Viral Eukaryogenesis: Was the Ancestor of the Nucleus a Complex DNA Virus?

Overview of attention for article published in Journal of Molecular Evolution, September 2001
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 1,483)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
5 news outlets
blogs
3 blogs
twitter
3 X users
wikipedia
39 Wikipedia pages

Readers on

mendeley
207 Mendeley
citeulike
3 CiteULike
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Title
Viral Eukaryogenesis: Was the Ancestor of the Nucleus a Complex DNA Virus?
Published in
Journal of Molecular Evolution, September 2001
DOI 10.1007/s002390010215
Pubmed ID
Authors

Philip John Livingstone Bell

Abstract

In the theory of viral eukaryogenesis I propose here, the eukaryotic nucleus evolved from a complex DNA virus. It is proposed that the virus established a persistent presence in the cytoplasm of a methanogenic mycoplasma and evolved into the eukaryotic nucleus by acquiring a set of essential genes from the host genome and eventually usurping its role. It is proposed that several characteristic features of the eukaryotic nucleus derive from its viral ancestry. These include mRNA capping, linear chromosomes, and separation of transcription from translation. In the model, phagocytosis and other membrane fusion-based processes are derived from viral membrane fusion processes and evolved in concert with the nucleus. The coevolution of phagocytosis and the nucleus rendered much of the host archaeal genome redundant since the protoeukaryote could obtain raw materials and energy by engulfing bacterial syntrophs/prey. This redundancy allowed loss of the archaeal chromosome, generating an organism with eukaryotic features. The evolution of phagocytosis allowed the eukaryotes to be the first organisms to occupy the niche of predator.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 3 1%
Germany 2 <1%
United States 2 <1%
France 1 <1%
Brazil 1 <1%
Norway 1 <1%
Russia 1 <1%
Argentina 1 <1%
Unknown 195 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 38 18%
Student > Master 34 16%
Researcher 29 14%
Student > Ph. D. Student 23 11%
Professor 11 5%
Other 38 18%
Unknown 34 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 39%
Biochemistry, Genetics and Molecular Biology 40 19%
Medicine and Dentistry 8 4%
Earth and Planetary Sciences 7 3%
Social Sciences 5 2%
Other 23 11%
Unknown 43 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 63. 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 26 March 2024.
All research outputs
#687,160
of 25,563,770 outputs
Outputs from Journal of Molecular Evolution
#12
of 1,483 outputs
Outputs of similar age
#375
of 40,960 outputs
Outputs of similar age from Journal of Molecular Evolution
#1
of 13 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,483 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 40,960 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.