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Comparative analysis, distribution, and characterization of microsatellites in Orf virus genome

Genome-wide in-silico identification of microsatellites or simple sequence repeats (SSRs) in the Orf virus (ORFV), the causative agent of contagious ecthyma has been carried out to investigate the type, distribution and its potential role in the genome evolution. We have investigated eleven ORFV str...

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Autores principales: Sahu, Basanta Pravas, Majee, Prativa, Singh, Ravi Raj, Sahoo, Anjan, Nayak, Debasis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431841/
https://www.ncbi.nlm.nih.gov/pubmed/32807836
http://dx.doi.org/10.1038/s41598-020-70634-6
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author Sahu, Basanta Pravas
Majee, Prativa
Singh, Ravi Raj
Sahoo, Anjan
Nayak, Debasis
author_facet Sahu, Basanta Pravas
Majee, Prativa
Singh, Ravi Raj
Sahoo, Anjan
Nayak, Debasis
author_sort Sahu, Basanta Pravas
collection PubMed
description Genome-wide in-silico identification of microsatellites or simple sequence repeats (SSRs) in the Orf virus (ORFV), the causative agent of contagious ecthyma has been carried out to investigate the type, distribution and its potential role in the genome evolution. We have investigated eleven ORFV strains, which resulted in the presence of 1,036–1,181 microsatellites per strain. The further screening revealed the presence of 83–107 compound SSRs (cSSRs) per genome. Our analysis indicates the dinucleotide (76.9%) repeats to be the most abundant, followed by trinucleotide (17.7%), mononucleotide (4.9%), tetranucleotide (0.4%) and hexanucleotide (0.2%) repeats. The Relative Abundance (RA) and Relative Density (RD) of these SSRs varied between 7.6–8.4 and 53.0–59.5 bp/kb, respectively. While in the case of cSSRs, the RA and RD ranged from 0.6–0.8 and 12.1–17.0 bp/kb, respectively. Regression analysis of all parameters like the incident of SSRs, RA, and RD significantly correlated with the GC content. But in a case of genome size, except incident SSRs, all other parameters were non-significantly correlated. Nearly all cSSRs were composed of two microsatellites, which showed no biasedness to a particular motif. Motif duplication pattern, such as, (C)-x-(C), (TG)-x-(TG), (AT)-x-(AT), (TC)- x-(TC) and self-complementary motifs, such as (GC)-x-(CG), (TC)-x-(AG), (GT)-x-(CA) and (TC)-x-(AG) were observed in the cSSRs. Finally, in-silico polymorphism was assessed, followed by in-vitro validation using PCR analysis and sequencing. The thirteen polymorphic SSR markers developed in this study were further characterized by mapping with the sequence present in the database. The results of the present study indicate that these SSRs could be a useful tool for identification, analysis of genetic diversity, and understanding the evolutionary status of the virus.
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spelling pubmed-74318412020-08-21 Comparative analysis, distribution, and characterization of microsatellites in Orf virus genome Sahu, Basanta Pravas Majee, Prativa Singh, Ravi Raj Sahoo, Anjan Nayak, Debasis Sci Rep Article Genome-wide in-silico identification of microsatellites or simple sequence repeats (SSRs) in the Orf virus (ORFV), the causative agent of contagious ecthyma has been carried out to investigate the type, distribution and its potential role in the genome evolution. We have investigated eleven ORFV strains, which resulted in the presence of 1,036–1,181 microsatellites per strain. The further screening revealed the presence of 83–107 compound SSRs (cSSRs) per genome. Our analysis indicates the dinucleotide (76.9%) repeats to be the most abundant, followed by trinucleotide (17.7%), mononucleotide (4.9%), tetranucleotide (0.4%) and hexanucleotide (0.2%) repeats. The Relative Abundance (RA) and Relative Density (RD) of these SSRs varied between 7.6–8.4 and 53.0–59.5 bp/kb, respectively. While in the case of cSSRs, the RA and RD ranged from 0.6–0.8 and 12.1–17.0 bp/kb, respectively. Regression analysis of all parameters like the incident of SSRs, RA, and RD significantly correlated with the GC content. But in a case of genome size, except incident SSRs, all other parameters were non-significantly correlated. Nearly all cSSRs were composed of two microsatellites, which showed no biasedness to a particular motif. Motif duplication pattern, such as, (C)-x-(C), (TG)-x-(TG), (AT)-x-(AT), (TC)- x-(TC) and self-complementary motifs, such as (GC)-x-(CG), (TC)-x-(AG), (GT)-x-(CA) and (TC)-x-(AG) were observed in the cSSRs. Finally, in-silico polymorphism was assessed, followed by in-vitro validation using PCR analysis and sequencing. The thirteen polymorphic SSR markers developed in this study were further characterized by mapping with the sequence present in the database. The results of the present study indicate that these SSRs could be a useful tool for identification, analysis of genetic diversity, and understanding the evolutionary status of the virus. Nature Publishing Group UK 2020-08-17 /pmc/articles/PMC7431841/ /pubmed/32807836 http://dx.doi.org/10.1038/s41598-020-70634-6 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Sahu, Basanta Pravas
Majee, Prativa
Singh, Ravi Raj
Sahoo, Anjan
Nayak, Debasis
Comparative analysis, distribution, and characterization of microsatellites in Orf virus genome
title Comparative analysis, distribution, and characterization of microsatellites in Orf virus genome
title_full Comparative analysis, distribution, and characterization of microsatellites in Orf virus genome
title_fullStr Comparative analysis, distribution, and characterization of microsatellites in Orf virus genome
title_full_unstemmed Comparative analysis, distribution, and characterization of microsatellites in Orf virus genome
title_short Comparative analysis, distribution, and characterization of microsatellites in Orf virus genome
title_sort comparative analysis, distribution, and characterization of microsatellites in orf virus genome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431841/
https://www.ncbi.nlm.nih.gov/pubmed/32807836
http://dx.doi.org/10.1038/s41598-020-70634-6
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