TY - JOUR
T1 - Mining the Alkhumra Hemorrhagic Fever Virus Genomes in 2015
AU - Ruiz-Aymá, Gabriel
AU - Tovar-Herrera, Omar Eduardo
AU - González-Alvarez, Rafael
AU - Villanueva-Segura, Olga Karina
AU - Gómez-Govea, Mayra A.
AU - Fajardo-Ramirez, Oscar Raúl
AU - Zamudio-Osuna, Michelle De Jesús
AU - Martínez-De-Villarreal, Laura Elia
AU - Córdova, Carlos Andrés Urbina
AU - Garza-Guajardo, Raquel
AU - Ponce-Garcia, Gustavo
AU - Barboza-Quintana, Oralia
AU - Flores-Suarez, Adriana Elizabeth
AU - Rodríguez-Sánchez, Irám Pablo
PY - 2016/3/1
Y1 - 2016/3/1
N2 - Alkhurma hemorrhagic fever virus was first isolated at Jeddah, Saudi Arabia, in the early 1990s, and identified as a member of the Flaviviridae family. The virus has been confirmed only in the sand tampan tick, Ornithodoros savignyi (Audouin), and camel tick, Hyalomma dromedarii Koch. Symptoms of infection include headache, joint and muscle pain, vomiting, and thrombocytopenia, leading to hemorrhagic fever, which can cause death. The purpose of this article was to make a genomic-mined Alkhurma hemorrhagic fever virus from the genomic sequences previously reported in GenBank of NCBI. Genomes were divided into peptides, and different evolutionary parameters were derived using bioinformatics tools. The individual behavior of each of the peptides encoded in the genome of Alkhurma hemorrhagic fever virus is specific; the rate of change indicates different kinds of evolutionary pressure. Complete genome and NS3 protein are under positive selection (dN > dS, p < 0.05), while purifying selection is the main force that drives the evolution of envelope and NS5 proteins (dN < dS, p < 0.05). The spread of viruses such as Alkhurma hemorrhagic fever virus can be catastrophic if they affect the global population without antibodies. Genomic mining of Alkhurma hemorrhagic fever virus provides a powerful tool to design new strategies focused on variable regions of the genome in case of spread.
AB - Alkhurma hemorrhagic fever virus was first isolated at Jeddah, Saudi Arabia, in the early 1990s, and identified as a member of the Flaviviridae family. The virus has been confirmed only in the sand tampan tick, Ornithodoros savignyi (Audouin), and camel tick, Hyalomma dromedarii Koch. Symptoms of infection include headache, joint and muscle pain, vomiting, and thrombocytopenia, leading to hemorrhagic fever, which can cause death. The purpose of this article was to make a genomic-mined Alkhurma hemorrhagic fever virus from the genomic sequences previously reported in GenBank of NCBI. Genomes were divided into peptides, and different evolutionary parameters were derived using bioinformatics tools. The individual behavior of each of the peptides encoded in the genome of Alkhurma hemorrhagic fever virus is specific; the rate of change indicates different kinds of evolutionary pressure. Complete genome and NS3 protein are under positive selection (dN > dS, p < 0.05), while purifying selection is the main force that drives the evolution of envelope and NS5 proteins (dN < dS, p < 0.05). The spread of viruses such as Alkhurma hemorrhagic fever virus can be catastrophic if they affect the global population without antibodies. Genomic mining of Alkhurma hemorrhagic fever virus provides a powerful tool to design new strategies focused on variable regions of the genome in case of spread.
UR - http://www.scopus.com/inward/record.url?scp=84960869518&partnerID=8YFLogxK
U2 - 10.3958/059.041.0110
DO - 10.3958/059.041.0110
M3 - Article
AN - SCOPUS:84960869518
SN - 0147-1724
VL - 41
SP - 87
EP - 97
JO - Southwestern Entomologist
JF - Southwestern Entomologist
IS - 1
ER -