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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/42463
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Sarika Jaiswal | en_US |
dc.contributor.author | Sonia Sheoran | en_US |
dc.contributor.author | Vasu Arora | en_US |
dc.contributor.author | Ulavappa B. Angadi | en_US |
dc.contributor.author | M. A. Iquebal | en_US |
dc.contributor.author | Nishu Raghav | en_US |
dc.contributor.author | Bharti Aneja | en_US |
dc.contributor.author | Deepender Kumar | en_US |
dc.contributor.author | Rajender Singh | en_US |
dc.contributor.author | Pradeep Sharma | en_US |
dc.contributor.author | G. P. Singh | en_US |
dc.contributor.author | Anil Rai | en_US |
dc.contributor.author | Ratan Tiwari | en_US |
dc.contributor.author | Dinesh Kumar | en_US |
dc.date.accessioned | 2020-11-20T06:39:49Z | - |
dc.date.available | 2020-11-20T06:39:49Z | - |
dc.date.issued | 2017-11-28 | - |
dc.identifier.citation | Not Available | en_US |
dc.identifier.issn | 1664-462X | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/42463 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Wheat fulfills 20% of global caloric requirement. World needs 60% more wheat for 9 billion population by 2050 but climate change with increasing temperature is projected to affect wheat productivity adversely. Trait improvement and management of wheat germplasm requires genomic resource. Simple Sequence Repeats (SSRs) being highly polymorphic and ubiquitously distributed in the genome, can be a marker of choice but there is no structured marker database with options to generate primer pairs for genotyping on desired chromosome/physical location. Previously associated markers with different wheat trait are also not available in any database. Limitations of in vitro SSR discovery can be overcome by genome-wide in silico mining of SSR. Triticum aestivum SSR database (TaSSRDb) is an integrated online database with three-tier architecture, developed using PHP and MySQL and accessible at http://webtom.cabgrid.res.in/ wheatssr/. For genotyping, Primer3 standalone code computes primers on user request. Chromosome-wise SSR calling for all the three sub genomes along with choice of motif types is provided in addition to the primer generation for desired marker. We report here a database of highest number of SSRs (476,169) from complex, hexaploid wheat genome (∼17 GB) along with previously reported 268 SSR markers associated with 11 traits. Highest (116.93 SSRs/Mb) and lowest (74.57 SSRs/Mb) SSR densities were found on 2D and 3A chromosome, respectively. To obtain homozygous locus, e-PCR was done. Such 30 loci were randomly selected for PCR validation in panel of 18 wheat Advance Varietal Trial (AVT) lines. TaSSRDb can be a valuable genomic resource tool for linkage mapping, gene/QTL (Quantitative trait locus) discovery, diversity analysis, traceability and variety identification. Varietal specific profiling and differentiation can supplement DUS (Distinctiveness, Uniformity, and Stability) testing, EDV (Essentially Derived Variety)/IV (Initial Variety) disputes, seed purity and hybrid wheat testing. All these are required in germplasm management as well as also in the endeavor of wheat productivity. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Not Available | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | DUS | en_US |
dc.subject | EDV | en_US |
dc.subject | e-PCR | en_US |
dc.subject | molecular marker | en_US |
dc.subject | seed purity | en_US |
dc.subject | SSR | en_US |
dc.subject | Triticum aestivum | en_US |
dc.title | Putative Microsatellite DNA Marker-Based Wheat Genomic Resource for Varietal Improvement and Management | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Article | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Frontiers in Plant Science | en_US |
dc.publication.volumeno | 8 | en_US |
dc.publication.pagenumber | 2009 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | https://www.frontiersin.org/article/10.3389/fpls.2017.02009 | en_US |
dc.publication.sourceUrl | 10.3389/fpls.2017.02009 | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
dc.publication.authorAffiliation | ICAR::Indian Institute of Wheat and Barley Research | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | 10.4 | - |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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Putative Microsatellite DNA Marker-Based Wheat Genomic Resource for Varietal Improvement and Management.pdf | 2.01 MB | Adobe PDF | View/Open |
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