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Comparative Genomics Search for Losses of Long-Established Genes on the Human Lineage

Overview of attention for article published in PLoS Computational Biology, December 2007
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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4 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
2 Google+ users

Citations

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104 Dimensions

Readers on

mendeley
123 Mendeley
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10 CiteULike
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6 Connotea
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Title
Comparative Genomics Search for Losses of Long-Established Genes on the Human Lineage
Published in
PLoS Computational Biology, December 2007
DOI 10.1371/journal.pcbi.0030247
Pubmed ID
Authors

Jingchun Zhu, J. Zachary Sanborn, Mark Diekhans, Craig B Lowe, Tom H Pringle, David Haussler

Abstract

Taking advantage of the complete genome sequences of several mammals, we developed a novel method to detect losses of well-established genes in the human genome through syntenic mapping of gene structures between the human, mouse, and dog genomes. Unlike most previous genomic methods for pseudogene identification, this analysis is able to differentiate losses of well-established genes from pseudogenes formed shortly after segmental duplication or generated via retrotransposition. Therefore, it enables us to find genes that were inactivated long after their birth, which were likely to have evolved nonredundant biological functions before being inactivated. The method was used to look for gene losses along the human lineage during the approximately 75 million years (My) since the common ancestor of primates and rodents (the euarchontoglire crown group). We identified 26 losses of well-established genes in the human genome that were all lost at least 50 My after their birth. Many of them were previously characterized pseudogenes in the human genome, such as GULO and UOX. Our methodology is highly effective at identifying losses of single-copy genes of ancient origin, allowing us to find a few well-known pseudogenes in the human genome missed by previous high-throughput genome-wide studies. In addition to confirming previously known gene losses, we identified 16 previously uncharacterized human pseudogenes that are definitive losses of long-established genes. Among them is ACYL3, an ancient enzyme present in archaea, bacteria, and eukaryotes, but lost approximately 6 to 8 Mya in the ancestor of humans and chimps. Although losses of well-established genes do not equate to adaptive gene losses, they are a useful proxy to use when searching for such genetic changes. This is especially true for adaptive losses that occurred more than 250,000 years ago, since any genetic evidence of the selective sweep indicative of such an event has been erased.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 8%
Germany 2 2%
France 1 <1%
Australia 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Norway 1 <1%
Spain 1 <1%
Canada 1 <1%
Other 2 2%
Unknown 102 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 29%
Student > Ph. D. Student 32 26%
Student > Master 15 12%
Professor > Associate Professor 13 11%
Professor 7 6%
Other 15 12%
Unknown 5 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 57%
Biochemistry, Genetics and Molecular Biology 27 22%
Computer Science 5 4%
Medicine and Dentistry 5 4%
Environmental Science 2 2%
Other 8 7%
Unknown 6 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 12 August 2020.
All research outputs
#4,207,545
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#3,452
of 8,960 outputs
Outputs of similar age
#18,216
of 166,815 outputs
Outputs of similar age from PLoS Computational Biology
#9
of 38 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 61% 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 166,815 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.