Title |
Identification and characterization of diverse groups of endogenous retroviruses in felids
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Published in |
Retrovirology, March 2015
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DOI | 10.1186/s12977-015-0152-x |
Pubmed ID | |
Authors |
Helena Mata, Jaime Gongora, Eduardo Eizirik, Brunna M Alves, Marcelo A Soares, Ana Paula Ravazzolo |
Abstract |
Endogenous retroviruses (ERVs) are genetic elements with a retroviral origin that are integrated into vertebrate genomes. In felids (Mammalia, Carnivora, Felidae), ERVs have been described mostly in the domestic cat, and only rarely in wild species. To gain insight into the origins and evolutionary dynamics of endogenous retroviruses in felids, we have identified and characterized partial pro/pol ERV sequences from eight Neotropical wild cat species, belonging to three distinct lineages of Felidae. We also compared them with publicly available genomic sequences of Felis catus and Panthera tigris, as well as with representatives of other vertebrate groups, and performed phylogenetic and molecular dating analyses to investigate the pattern and timing of diversification of these retroviral elements. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
United Kingdom | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Unknown | 40 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 22% |
Student > Bachelor | 7 | 17% |
Student > Master | 4 | 10% |
Student > Doctoral Student | 3 | 7% |
Other | 3 | 7% |
Other | 9 | 22% |
Unknown | 6 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 14 | 34% |
Biochemistry, Genetics and Molecular Biology | 8 | 20% |
Veterinary Science and Veterinary Medicine | 7 | 17% |
Medicine and Dentistry | 2 | 5% |
Immunology and Microbiology | 2 | 5% |
Other | 1 | 2% |
Unknown | 7 | 17% |