@article {Cristina070656, author = {Juan Cristina and Natalia Echeverr{\'\i}a and Fabiana Gambaro and Alvaro Fajardo and Pilar Moreno}, title = {Genome-wide Prediction of microRNAs in Zika virus Genomes Reveals Possible Interactions with Human Genes Involved in the Nervous System Development}, elocation-id = {070656}, year = {2016}, doi = {10.1101/070656}, publisher = {Cold Spring Harbor Laboratory}, abstract = {Zika virus (ZIKV) is a member of the family Flaviviridae. In 2015, ZIKV triggered a large epidemic in Brazil and spread across Latin America. In November of that year, the Brazilian Ministry of Health reported a 20-fold increase in cases of neonatal microcephaly, which corresponds geographically and temporally to the ZIKV outbreak. ZIKV was isolated from the brain tissue of a fetus diagnosed with microcephaly, and recent studies in mice models revealed that ZIKV infection may cause brain defects by influencing brain cell developments. Unfortunately, the mechanisms by which ZIKV alters neurophysiological development remain unknown. MicroRNAs (miRNAs) are small noncoding RNAs that regulate post-transcriptional gene expression by translational repression. In order to gain insight into the possible role of ZIKV-mediated miRNA signaling dysfunction in brain-tissue development, we computationally predicted new miRNAs encoded by the ZIKV genome and their effective hybridization with transcripts from human genes previously shown to be involved in microcephalia. The results of these studies suggest a possible role of these miRNAs on the expression of human genes associated with this disease. Besides, a new ZIKV miRNA was predicted in the 3{\textquoteright}stem loop (3{\textquoteright} SL) of the 3{\textquoteright}untranslated region (3{\textquoteright}UTR) of the ZIKV genome, suggesting the role of the 3{\textquoteright}UTR of flaviviruses as a source of miRNAs.}, URL = {https://www.biorxiv.org/content/early/2016/08/21/070656}, eprint = {https://www.biorxiv.org/content/early/2016/08/21/070656.full.pdf}, journal = {bioRxiv} }