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Evolution and divergence of the mammalian SAMD9/SAMD9L gene family

Overview of attention for article published in BMC Ecology and Evolution, June 2013
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Title
Evolution and divergence of the mammalian SAMD9/SAMD9L gene family
Published in
BMC Ecology and Evolution, June 2013
DOI 10.1186/1471-2148-13-121
Pubmed ID
Authors

Ana Lemos de Matos, Jia Liu, Grant McFadden, Pedro J Esteves

Abstract

The physiological functions of the human Sterile Alpha Motif Domain-containing 9 (SAMD9) gene and its chromosomally adjacent paralogue, SAMD9-like (SAMD9L), currently remain unknown. However, the direct links between the deleterious mutations or deletions in these two genes and several human disorders, such as inherited inflammatory calcified tumors and acute myeloid leukemia, suggest their biological importance. SAMD9 and SAMD9L have also recently been shown to play key roles in the innate immune responses to stimuli such as viral infection. We were particularly interested in understanding the mammalian evolutionary history of these two genes. The phylogeny of SAMD9 and SAMD9L genes was reconstructed using the Maximum Likelihood method. Furthermore, six different methods were applied to detect SAMD9 and SAMD9L codons under selective pressure: the site-specific model M8 implemented in the codeml program in PAML software and five methods available on the Datamonkey web server, including the Single Likelihood Ancestor Counting method, the Fixed Effect Likelihood method, the Random Effect Likelihood method, the Mixed Effects Model of Evolution method and the Fast Unbiased Bayesian AppRoximation method. Additionally, the house mouse (Mus musculus) genome has lost the SAMD9 gene, while keeping SAMD9L intact, prompting us to investigate whether this loss is a unique event during evolution.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 6%
Saudi Arabia 1 2%
Unknown 48 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 27%
Student > Ph. D. Student 10 19%
Student > Master 5 10%
Professor > Associate Professor 4 8%
Student > Bachelor 3 6%
Other 5 10%
Unknown 11 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 38%
Biochemistry, Genetics and Molecular Biology 10 19%
Medicine and Dentistry 4 8%
Immunology and Microbiology 4 8%
Veterinary Science and Veterinary Medicine 1 2%
Other 4 8%
Unknown 9 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 June 2013.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from BMC Ecology and Evolution
#3,267
of 3,714 outputs
Outputs of similar age
#159,897
of 209,791 outputs
Outputs of similar age from BMC Ecology and Evolution
#53
of 62 outputs
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We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.