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Protein Superfamily Evolution and the Last Universal Common Ancestor (LUCA)

Overview of attention for article published in Journal of Molecular Evolution, October 2006
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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3 X users
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8 Wikipedia pages

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147 Mendeley
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8 CiteULike
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2 Connotea
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Title
Protein Superfamily Evolution and the Last Universal Common Ancestor (LUCA)
Published in
Journal of Molecular Evolution, October 2006
DOI 10.1007/s00239-005-0289-7
Pubmed ID
Authors

Juan A. G. Ranea, Antonio Sillero, Janet M. Thornton, Christine A. Orengo

Abstract

By exploiting three-dimensional structure comparison, which is more sensitive than conventional sequence-based methods for detecting remote homology, we have identified a set of 140 ancestral protein domains using very restrictive criteria to minimize the potential error introduced by horizontal gene transfer. These domains are highly likely to have been present in the Last Universal Common Ancestor (LUCA) based on their universality in almost all of 114 completed prokaryotic (Bacteria and Archaea) and eukaryotic genomes. Functional analysis of these ancestral domains reveals a genetically complex LUCA with practically all the essential functional systems present in extant organisms, supporting the theory that life achieved its modern cellular status much before the main kingdom separation (Doolittle 2000). In addition, we have calculated different estimations of the genetic and functional versatility of all the superfamilies and functional groups in the prokaryote subsample. These estimations reveal that some ancestral superfamilies have been more versatile than others during evolution allowing more genetic and functional variation. Furthermore, the differences in genetic versatility between protein families are more attributable to their functional nature rather than the time that they have been evolving. These differences in tolerance to mutation suggest that some protein families have eroded their phylogenetic signal faster than others, hiding in many cases, their ancestral origin and suggesting that the calculation of 140 ancestral domains is probably an underestimate.

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 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 3%
United States 3 2%
Germany 2 1%
Switzerland 1 <1%
Chile 1 <1%
Brazil 1 <1%
France 1 <1%
Netherlands 1 <1%
Argentina 1 <1%
Other 3 2%
Unknown 128 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 19%
Student > Ph. D. Student 25 17%
Student > Bachelor 23 16%
Student > Master 15 10%
Professor 11 7%
Other 26 18%
Unknown 19 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 44%
Biochemistry, Genetics and Molecular Biology 39 27%
Chemistry 4 3%
Earth and Planetary Sciences 3 2%
Immunology and Microbiology 3 2%
Other 15 10%
Unknown 19 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 25 August 2022.
All research outputs
#6,156,107
of 23,172,045 outputs
Outputs from Journal of Molecular Evolution
#371
of 1,457 outputs
Outputs of similar age
#20,519
of 67,665 outputs
Outputs of similar age from Journal of Molecular Evolution
#2
of 5 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,457 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 74% 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 67,665 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.