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Genomic legacy of the African cheetah, Acinonyx jubatus

Overview of attention for article published in Genome Biology, December 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
12 news outlets
blogs
6 blogs
twitter
86 X users
facebook
8 Facebook pages
wikipedia
11 Wikipedia pages
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
146 Dimensions

Readers on

mendeley
347 Mendeley
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Title
Genomic legacy of the African cheetah, Acinonyx jubatus
Published in
Genome Biology, December 2015
DOI 10.1186/s13059-015-0837-4
Pubmed ID
Authors

Pavel Dobrynin, Shiping Liu, Gaik Tamazian, Zijun Xiong, Andrey A. Yurchenko, Ksenia Krasheninnikova, Sergey Kliver, Anne Schmidt-Küntzel, Klaus-Peter Koepfli, Warren Johnson, Lukas F.K. Kuderna, Raquel García-Pérez, Marc de Manuel, Ricardo Godinez, Aleksey Komissarov, Alexey Makunin, Vladimir Brukhin, Weilin Qiu, Long Zhou, Fang Li, Jian Yi, Carlos Driscoll, Agostinho Antunes, Taras K. Oleksyk, Eduardo Eizirik, Polina Perelman, Melody Roelke, David Wildt, Mark Diekhans, Tomas Marques-Bonet, Laurie Marker, Jong Bhak, Jun Wang, Guojie Zhang, Stephen J. O’Brien

Abstract

Patterns of genetic and genomic variance are informative in inferring population history for human, model species and endangered populations. Here the genome sequence of wild-born African cheetahs reveals extreme genomic depletion in SNV incidence, SNV density, SNVs of coding genes, MHC class I and II genes, and mitochondrial DNA SNVs. Cheetah genomes are on average 95 % homozygous compared to the genomes of the outbred domestic cat (24.08 % homozygous), Virunga Mountain Gorilla (78.12 %), inbred Abyssinian cat (62.63 %), Tasmanian devil, domestic dog and other mammalian species. Demographic estimators impute two ancestral population bottlenecks: one >100,000 years ago coincident with cheetah migrations out of the Americas and into Eurasia and Africa, and a second 11,084-12,589 years ago in Africa coincident with late Pleistocene large mammal extinctions. MHC class I gene loss and dramatic reduction in functional diversity of MHC genes would explain why cheetahs ablate skin graft rejection among unrelated individuals. Significant excess of non-synonymous mutations in AKAP4 (p<0.02), a gene mediating spermatozoon development, indicates cheetah fixation of five function-damaging amino acid variants distinct from AKAP4 homologues of other Felidae or mammals; AKAP4 dysfunction may cause the cheetah's extremely high (>80 %) pleiomorphic sperm. The study provides an unprecedented genomic perspective for the rare cheetah, with potential relevance to the species' natural history, physiological adaptations and unique reproductive disposition.

X Demographics

X Demographics

The data shown below were collected from the profiles of 86 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 347 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Germany 2 <1%
Netherlands 1 <1%
Australia 1 <1%
South Africa 1 <1%
Switzerland 1 <1%
Russia 1 <1%
Denmark 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 333 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 57 16%
Student > Ph. D. Student 55 16%
Student > Bachelor 51 15%
Student > Master 48 14%
Student > Postgraduate 16 5%
Other 50 14%
Unknown 70 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 146 42%
Biochemistry, Genetics and Molecular Biology 55 16%
Environmental Science 22 6%
Computer Science 8 2%
Immunology and Microbiology 6 2%
Other 29 8%
Unknown 81 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 189. 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 07 January 2024.
All research outputs
#214,555
of 25,728,350 outputs
Outputs from Genome Biology
#65
of 4,508 outputs
Outputs of similar age
#3,278
of 396,862 outputs
Outputs of similar age from Genome Biology
#3
of 72 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 98% 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 396,862 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 72 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 95% of its contemporaries.