ABSTRACT
COVID-19 related morbidities and mortalities are still continued due to the emergence of new variants of SARS-CoV-2. In the last few years, viral miRNAs have been the centre of study to understand the disease pathophysiology. In this work, we aimed to predict the change in coding potential of the viral miRNAs in SARS-CoV-2's VOCs, Delta and Omicron compared to the Reference (Wuhan origin) strain using bioinformatics tools. After ab-intio based screening by the Vmir tool and validation, we retrieved 22, 6, and 6 pre-miRNAs for Reference, Delta, and Omicron. Most of the predicted unique pre-miRNAs of Delta and Omicron were found to be encoded from the terminal and origin of the genomic sequence, respectively. Mature miRNAs identified by MatureBayes from the unique pre-miRNAs were used for target identification using miRDB. A total of 1786, 216, and 143 high-confidence target genes were captured for GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) analysis. The GO and KEGG pathways terms analysis revealed the involvement of Delta miRNAs targeted genes in the pathways such as Human cytomegalovirus infection, Breast cancer, Apoptosis, Neurotrophin signaling, and Axon guidance whereas the Sphingolipid signaling pathway was found for the Omicron. Furthermore, we focussed our analysis on target genes that were validated through GEO's (Gene Expression Omnibus) DEGs (Differentially Expressed Genes) dataset, in which FGL2, TNSF12, OGN, GDF11, and BMP11 target genes were found to be down-regulated by Reference miRNAs and YAE1 and RSU1 by Delta. Few genes were also observed to be validated among in up-regulated gene set of the GEO dataset, in which MMP14, TNFRSF21, SGMS1, and TMEM192 were related to Reference whereas ZEB2 was detected in all three strains. This study thus provides an in-silico based analysis that deciphered the unique pre-miRNAs in Delta and Omicron compared to Reference. However, the findings need future wet lab studies for validation.
ABSTRACT
Infectious hematopoietic necrosis virus (IHNV) is the vital pathogen that has caused the great economic loss in salmonid fisheries. To date, there is limited information concerning the changes of lncRNAs in RTG-2 cells infected by IHNV. In this study, a comparative transcriptome analysis of lncRNAs was performed in RTG-2 cells with and without IHNV infection to determine their changes and the effects on IHNV infection. The results showed that IHNV infection significantly changed the expression levels of lncRNAs and mRNAs, including 3693 differentially expressed lncRNAs (DE-lncRNAs) and 3503 differentially expressed mRNAs (DE-mRNAs) respectively. These DE-lncRNAs and DE-mRNAs induced by IHNV were mostly associated with immune response, RNA processing, and viral diseases related pathways. Further analysis found that some DE-lncRNAs might participate in the regulation of extracellular matrix metabolism, apoptosis, lipid synthesis, autophagy, and immune responses referring to the functions of their target genes. Afterwards, 349 co-expression relationships were constructed by 223 DE-lncRNAs and 271 DE-mRNAs, of which LTCONS_00146935 was the pivotal node in the interaction networks, and was together with its target genes modulated the immune responses under the IHNV infection. RT-qPCR results showed that the changes of the selected immune-related DEGs were in consistent with the RNA-seq data, suggesting that the sequencing data was relatively reliable. In summary, this is the first study to determine the changes and interactions of lncRNA-mRNA in RTG-2 cells under the IHNV infection. The results provided the valuable information concerning the lncRNAs in salmonid fish, which will benefit for future study on uncovering the roles of lncRNAs-mRNAs during the viral infection.