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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/75224
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Mamathashree MN | en_US |
dc.contributor.author | Suresh KP | en_US |
dc.contributor.author | Patil SS | en_US |
dc.contributor.author | Indrabalan UB | en_US |
dc.contributor.author | Beelagi MS | en_US |
dc.contributor.author | Sushma P | en_US |
dc.contributor.author | Krishnamoorthy P | en_US |
dc.contributor.author | Siju SJ | en_US |
dc.contributor.author | Srinivasa C | en_US |
dc.contributor.author | Shiva PK | en_US |
dc.contributor.author | Raghu RA | en_US |
dc.contributor.author | Ashwini P | en_US |
dc.contributor.author | Shashanka KP | en_US |
dc.contributor.author | Shivamallu C | en_US |
dc.date.accessioned | 2022-12-20T05:03:29Z | - |
dc.date.available | 2022-12-20T05:03:29Z | - |
dc.date.issued | 2022-12-16 | - |
dc.identifier.citation | Mamathashree, M.N., Suresh, K.P., Patil, S.S., Indrabalan, U.B., Beelagi, M.S., Sushma, P., Krishnamoorthy, P., Siju, S.J., Srinivasa, C., Shiva, P.K., Raghu, R.A., Ashwini, P., Shashanka, K.P and Shivamallu, C. (2022) "Research Article A new Informatics Framework for Evaluating the Codon Usage Metrics, Evolutionary Models and Phylogeographic reconstruction of Tomato yellow leaf curl virus (TYLCV) in different regions of Asian countries," International Journal of Health and Allied Sciences, 11(1):106-124. | en_US |
dc.identifier.issn | 2278-4292 | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/75224 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Tomato yellow leaf curl virus (TYLCV) is a major devastating viral disease, majorly affecting the tomato production globally. The disease is majorly transmitted by the Whitefly. The Begomovirus (TYLCV) having a six major protein coding genes, among them the C1/AC1 is evidently associated with viral replication. Owing to immense role of C1/AC1 gene, the present study is an initial effort to elucidate the factors shaping the codon usage bias and evolutionary pattern of TYLCV-C1/AC1 gene in five major Asian countries. Based on publicly available nucleotide sequence data the Codon usage pattern, Evolutionary and Phylogeographic reconstruction was carried out. The study revealed the presence of significant variation between the codon bias indices in all the selected regions. Implying that the codon usage pattern indices (eNC, CAI, RCDI, GRAVY, Aromo) are seriously affected by selection and mutational pressure, taking a supremacy in shaping the codon usage bias of viral gene. Further, the tMRCA age was 1853, 1939, 1855, 1944, 1828 for China, India, Iran, Oman and South Korea, respectively for TYLCV-C1/AC1 gene. The integrated analysis of Codon usage bias, Evolutionary rate and Phylogeography analysis in viruses signifies the positive role of selection and mutational pressure among the selected regions for TYLCV (C1/AC1) gene. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | JSS University, Mysore | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Tomato yellow leaf curl virus (TYLCV) | en_US |
dc.subject | Tomato | en_US |
dc.subject | C1/AC1 protein gene | en_US |
dc.subject | Asian countries | en_US |
dc.subject | Codon usage bias | en_US |
dc.subject | Evolutionary characters | en_US |
dc.subject | Phylogeography analysis | en_US |
dc.subject | Positive selection | en_US |
dc.subject | tMRCA | en_US |
dc.title | Research Article A New Informatics Framework for Evaluating the Codon Usage Metrics, Evolutionary Models and Phylogeographic Reconstruction of Tomato Yellow Leaf Curl Virus (TYLCV) in Different Regions of Asian Countries | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | International Journal of Health and Allied Sciences | en_US |
dc.publication.volumeno | 11(1) | en_US |
dc.publication.pagenumber | 106-124 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | https://doi.org/10.55691/2278-344X.1016 | en_US |
dc.publication.authorAffiliation | ICAR::National Institute of Veterinary Epidemiology and Disease Informatics | en_US |
dc.publication.authorAffiliation | Department of Biotechnology and Bioinformatics, School of Life Sciences, JSS Academy of Higher Education and Research, Mysore, Karnataka, India | en_US |
dc.publication.authorAffiliation | Department of Biotechnology, Davangere University, Shivagangotri, Davangere, Karnataka, India | en_US |
dc.publication.authorAffiliation | School of Agriculture, Geography, Environment, Ocean and Natural Sciences, The University of the South Pacific, Laucala Campus, Suva, Fiji | en_US |
dc.publication.authorAffiliation | Department of Sciences, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Mysuru Campus, Mysuru, Karnataka, India | en_US |
dc.publication.authorAffiliation | Department of Biochemistry, School of Life Sciences, JSS Academy of Higher Education and Research, Mysore, Karnataka, India | en_US |
dc.publication.authorAffiliation | Department of Microbiology, School of Life Sciences, JSS Academy of Higher Education and Research, Mysore, Karnataka, India | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | Peer reviewed Journal | en_US |
Appears in Collections: | AS-NIVEDI-Publication |
Files in This Item:
File | Description | Size | Format | |
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Tomato YLCV evolutionary analysis Co-Author IJHAS.pdf | 5.43 MB | Adobe PDF | View/Open |
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