Title |
The influenza A virus NS genome segment displays lineage-specific patterns in predicted RNA secondary structure
|
---|---|
Published in |
BMC Research Notes, May 2016
|
DOI | 10.1186/s13104-016-2083-6 |
Pubmed ID | |
Authors |
A. V. Vasin, A. V. Petrova, V. V. Egorov, M. A. Plotnikova, S. A. Klotchenko, M. N. Karpenko, O. I. Kiselev |
Abstract |
Influenza A virus (IAV) is a segmented negative-sense RNA virus that causes seasonal epidemics and periodic pandemics in humans. Two regions (nucleotide positions 82-148 and 497-564) in the positive-sense RNA of the NS segment fold into a multi-branch loop or hairpin structures. We studied 25,384 NS segment positive-sense RNA unique sequences of human and non-human IAVs in order to predict secondary RNA structures of the 82-148 and 497-564 regions using RNAfold software, and determined their host- and lineage-specific distributions. Hairpins prevailed in avian and avian-origin human IAVs, including H1N1pdm1918 and H5N1. In human and swine IAV hairpins distribution varied between evolutionary lineages. These results suggest a possible functional role for these RNA secondary structures and the need for experimental evaluation of these structures in the influenza life cycle. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 25% |
Student > Ph. D. Student | 7 | 19% |
Student > Master | 5 | 14% |
Student > Bachelor | 3 | 8% |
Professor | 2 | 6% |
Other | 4 | 11% |
Unknown | 6 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 16 | 44% |
Agricultural and Biological Sciences | 6 | 17% |
Engineering | 3 | 8% |
Immunology and Microbiology | 2 | 6% |
Social Sciences | 1 | 3% |
Other | 3 | 8% |
Unknown | 5 | 14% |