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Computational insights into RNAi-based therapeutics for foot and mouth disease of Bostaurus
Foot-and-mouth disease (FMD) endangers a large number of livestock populations across the globe being a highly contagious viral infection in wild and domestic cloven-hoofed animals. It adversely affects the socioeconomic status of millions of households. Vaccination has been used to protect animals...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725835/ https://www.ncbi.nlm.nih.gov/pubmed/33299096 http://dx.doi.org/10.1038/s41598-020-78541-6 |
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author | Sahu, Tanmaya Kumar Gurjar, Anoop Kishor Singh Meher, Prabina Kumar Varghese, Cini Marwaha, Sudeep Rao, Govind Pratap Rai, Anil Guleria, Neha Basagoudanavar, Suresh H. Sanyal, Aniket Rao, Atmakuri Ramakrishna |
author_facet | Sahu, Tanmaya Kumar Gurjar, Anoop Kishor Singh Meher, Prabina Kumar Varghese, Cini Marwaha, Sudeep Rao, Govind Pratap Rai, Anil Guleria, Neha Basagoudanavar, Suresh H. Sanyal, Aniket Rao, Atmakuri Ramakrishna |
author_sort | Sahu, Tanmaya Kumar |
collection | PubMed |
description | Foot-and-mouth disease (FMD) endangers a large number of livestock populations across the globe being a highly contagious viral infection in wild and domestic cloven-hoofed animals. It adversely affects the socioeconomic status of millions of households. Vaccination has been used to protect animals against FMD virus (FMDV) to some extent but the effectiveness of available vaccines has been decreased due to high genetic variability in the FMDV genome. Another key aspect that the current vaccines are not favored is they do not provide the ability to differentiate between infected and vaccinated animals. Thus, RNA interference (RNAi) being a potential strategy to control virus replication, has opened up a new avenue for controlling the viral transmission. Hence, an attempt has been made here to establish the role of RNAi in therapeutic developments for FMD by computationally identifying (i) microRNA (miRNA) targets in FMDV using target prediction algorithms, (ii) targetable genomic regions in FMDV based on their dissimilarity with the host genome and, (iii) plausible anti-FMDV miRNA-like simulated nucleotide sequences (SNSs). The results revealed 12 mature host miRNAs that have 284 targets in 98 distinct FMDV genomic sequences. Wet-lab validation for anti-FMDV properties of 8 host miRNAs was carried out and all were observed to confer variable magnitude of antiviral effect. In addition, 14 miRBase miRNAs were found with better target accessibility in FMDV than that of Bos taurus. Further, 8 putative targetable regions having sense strand properties of siRNAs were identified on FMDV genes that are highly dissimilar with the host genome. A total of 16 SNSs having > 90% identity with mature miRNAs were also identified that have targets in FMDV genes. The information generated from this study is populated at http://bioinformatics.iasri.res.in/fmdisc/ to cater the needs of biologists, veterinarians and animal scientists working on FMD. |
format | Online Article Text |
id | pubmed-7725835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77258352020-12-14 Computational insights into RNAi-based therapeutics for foot and mouth disease of Bostaurus Sahu, Tanmaya Kumar Gurjar, Anoop Kishor Singh Meher, Prabina Kumar Varghese, Cini Marwaha, Sudeep Rao, Govind Pratap Rai, Anil Guleria, Neha Basagoudanavar, Suresh H. Sanyal, Aniket Rao, Atmakuri Ramakrishna Sci Rep Article Foot-and-mouth disease (FMD) endangers a large number of livestock populations across the globe being a highly contagious viral infection in wild and domestic cloven-hoofed animals. It adversely affects the socioeconomic status of millions of households. Vaccination has been used to protect animals against FMD virus (FMDV) to some extent but the effectiveness of available vaccines has been decreased due to high genetic variability in the FMDV genome. Another key aspect that the current vaccines are not favored is they do not provide the ability to differentiate between infected and vaccinated animals. Thus, RNA interference (RNAi) being a potential strategy to control virus replication, has opened up a new avenue for controlling the viral transmission. Hence, an attempt has been made here to establish the role of RNAi in therapeutic developments for FMD by computationally identifying (i) microRNA (miRNA) targets in FMDV using target prediction algorithms, (ii) targetable genomic regions in FMDV based on their dissimilarity with the host genome and, (iii) plausible anti-FMDV miRNA-like simulated nucleotide sequences (SNSs). The results revealed 12 mature host miRNAs that have 284 targets in 98 distinct FMDV genomic sequences. Wet-lab validation for anti-FMDV properties of 8 host miRNAs was carried out and all were observed to confer variable magnitude of antiviral effect. In addition, 14 miRBase miRNAs were found with better target accessibility in FMDV than that of Bos taurus. Further, 8 putative targetable regions having sense strand properties of siRNAs were identified on FMDV genes that are highly dissimilar with the host genome. A total of 16 SNSs having > 90% identity with mature miRNAs were also identified that have targets in FMDV genes. The information generated from this study is populated at http://bioinformatics.iasri.res.in/fmdisc/ to cater the needs of biologists, veterinarians and animal scientists working on FMD. Nature Publishing Group UK 2020-12-09 /pmc/articles/PMC7725835/ /pubmed/33299096 http://dx.doi.org/10.1038/s41598-020-78541-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Sahu, Tanmaya Kumar Gurjar, Anoop Kishor Singh Meher, Prabina Kumar Varghese, Cini Marwaha, Sudeep Rao, Govind Pratap Rai, Anil Guleria, Neha Basagoudanavar, Suresh H. Sanyal, Aniket Rao, Atmakuri Ramakrishna Computational insights into RNAi-based therapeutics for foot and mouth disease of Bostaurus |
title | Computational insights into RNAi-based therapeutics for foot and mouth disease of Bostaurus |
title_full | Computational insights into RNAi-based therapeutics for foot and mouth disease of Bostaurus |
title_fullStr | Computational insights into RNAi-based therapeutics for foot and mouth disease of Bostaurus |
title_full_unstemmed | Computational insights into RNAi-based therapeutics for foot and mouth disease of Bostaurus |
title_short | Computational insights into RNAi-based therapeutics for foot and mouth disease of Bostaurus |
title_sort | computational insights into rnai-based therapeutics for foot and mouth disease of bostaurus |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725835/ https://www.ncbi.nlm.nih.gov/pubmed/33299096 http://dx.doi.org/10.1038/s41598-020-78541-6 |
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