Literature DB >> 17577195

High-throughput multiplex microsatellite marker assay for detection and quantification of adulteration in Basmati rice (Oryza sativa).

Sunil Archak1, V Lakshminarayanareddy, Javaregowda Nagaraju.   

Abstract

Basmati rice is a very special type of aromatic rice known world-wide for its extra long grains and pleasant and distinct aroma. Traditional Basmati rice cultivars, confined to Indo-Gangetic regions of the Indian subcontinent, are often reported to be adulterated with crossbred Basmati varieties and long-grain non-Basmati varieties in the export market. At present, there is no commercial scale technology to reliably detect adulteration. We report here a CE-based multiplex microsatellite marker assay for detection as well as quantification of adulteration in Basmati rice samples. The single-tube assay multiplexes eight microsatellite loci to generate variety-specific allele profiles that can detect adulteration from 1% upwards. The protocol also incorporates a quantitative-competitive PCR-based analysis for quantification of adulteration. Accuracy of quantification has been shown to be +/-1.5%. The experiments used to develop and validate the methodology are described.

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Year:  2007        PMID: 17577195     DOI: 10.1002/elps.200600646

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  16 in total

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Review 2.  Review of methods for the detection and quantification of adulteration of rice: Basmati as a case study.

Authors:  Lakshminarayana R Vemireddy; V V Satyavathi; E A Siddiq; J Nagaraju
Journal:  J Food Sci Technol       Date:  2014-09-26       Impact factor: 2.701

3.  Single grain analysis of the complex Basmati rice samples to determine the nature of admixtures and accurate adulteration quantification.

Authors:  R Lakshmi Vaishna; V V Satyavathi; K Anupama
Journal:  J Food Sci Technol       Date:  2022-02-10       Impact factor: 2.701

4.  Genetic dissection of rice blast resistance by QTL mapping approach using an F3 population.

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Journal:  Mol Biol Rep       Date:  2012-12-01       Impact factor: 2.316

5.  Discovery and mapping of genomic regions governing economically important traits of Basmati rice.

Authors:  Lakshminarayana R Vemireddy; Sabahat Noor; V V Satyavathi; A Srividhya; A Kaliappan; Srn Parimala; Prathibha M Bharathi; Dondapati A Deborah; K V Sudhakar Rao; N Shobharani; E A Siddiq; Javaregowda Nagaraju
Journal:  BMC Plant Biol       Date:  2015-08-21       Impact factor: 4.215

6.  Digital PCR for Genotype Quantification: A Case Study in a Pasta Production Chain.

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Journal:  Biology (Basel)       Date:  2021-05-09

7.  Quantitative Single-letter Sequencing: a method for simultaneously monitoring numerous known allelic variants in single DNA samples.

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Journal:  BMC Genomics       Date:  2008-02-21       Impact factor: 3.969

8.  Genetic Diversity and Population Structure of Basmati Rice (Oryza sativa L.) Germplasm Collected from North Western Himalayas Using Trait Linked SSR Markers.

Authors:  R K Salgotra; B B Gupta; Javaid Akhter Bhat; Sandeep Sharma
Journal:  PLoS One       Date:  2015-07-28       Impact factor: 3.240

9.  Genetic diversity and population structure of rice landraces from Eastern and North Eastern States of India.

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Journal:  BMC Genet       Date:  2013-08-15       Impact factor: 2.797

10.  SBMDb: first whole genome putative microsatellite DNA marker database of sugarbeet for bioenergy and industrial applications.

Authors:  Mir Asif Iquebal; Sarika Jaiswal; U B Angadi; Gaurav Sablok; Vasu Arora; Sunil Kumar; Anil Rai; Dinesh Kumar
Journal:  Database (Oxford)       Date:  2015-12-08       Impact factor: 3.451

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