KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/44527| Title: | Computational Analysis of Short Tandem Repeat (STR) Markers from Genome Wide Expression Regions of Sugar Beet (Beeta vulgaris) |
| Other Titles: | Not Available |
| Authors: | Virupaksh U Patil Vanishree G Vivek Hegde K. K. Chaturvedi SK Chakrabarti |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR::Central Potato Research Institute ICAR::Central Tuber Crops Research Institute ICAR::Indian Agricultural Statistics Research Institute |
| Published/ Complete Date: | 2016-06-30 |
| Project Code: | Not Available |
| Keywords: | Sugar beet Transcript Microsatellite Functional markers Molecular breeding |
| Publisher: | SciTechnol |
| Citation: | Patil, VU, Vanishree, G, Hegde, V, Chaturvedi, KK and Chakrabarti, SK (2016). Computational Analysis of Short Tandem Repeat (STR) Markers from Genome Wide Expression Regions of Sugar Beet (Beeta vulgaris). Journal of Applied Bioinformatics and Computational Biology, 5:2 |
| Series/Report no.: | Not Available; |
| Abstract/Description: | Using transcriptome and expressed sequence tags (EST) data to extract short Tandem Repeats (STRs) also called Simple Sequence Repeats (SSRs) or microsatellites and develop markers has progressively become prevalent as number of sequencing data for various crops under public domain is mounting astonishingly. In the present study we have explored the genome-wide expression/genic STRs from sugar beet. Our in silico analysis results showed that among the 225,152 STRs present in the genome, only 12,881 were identified as transcript/genic markers. Of the total 27,421 predicted protein coding genes, 9,817 genes found to be carrying at least one STR marker and as many as 1,785 genes carried multiple STRs. Tri mer repeats were found to be abundantly present on the coding region and tetra mer was the least. Further, motif A/T was found to be more abundant than C/G in exons of sugar beet genes. The knowledge of these functional markers can directly be used for the molecular breeding of the crop as they are quickly obtained by electronic sorting, and present in expressed regions of the genome. |
| Description: | Not Available |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Journal of Applied Bioinformatics and Computational Biology |
| NAAS Rating: | Not Available |
| Volume No.: | 5 |
| Page Number: | Not Available |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | https://doi.org/10.4172/2329-9533.1000125 |
| URI: | https://doi.org/10.4172/2329-9533.1000125 http://krishi.icar.gov.in/jspui/handle/123456789/44527 |
| Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
There are no files associated with this item.
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.