Fr. 64.00

Genetic Diversity Analysis of Rice Bean Using Molecular Markers - Molecular Profiling of Rice Bean (Vigna umbellata (Thunb.) Ohwi & Ohashi) Land Races Using RAPD and ISSR Markers

English, German · Paperback / Softback

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Vigna umbellata (Thunb.) Ohwi and Ohashi commonly known as rice bean or climbing mountain bean is under exploited tropical legume, used as vegetable and fodder. Genetic variation between 10 landraces of rice bean was evaluated using random amplified polymorphic DNA (RAPD) and inter simple sequence repeats (ISSR) markers. RAPD fingerprinting (70.30 %) detected more polymorphic loci than the ISSR fingerprinting (61.79%). Mean PIC (polymorphic information content) for each of these marker systems (0.243 for RAPD and 0.203 for ISSR) suggested that both the marker systems were equally effective in determining polymorphisms. The dendrograms constructed using RAPD and ISSR marker systems were perfectly correlated with each other as revealed by high Mantel correlation (r=0.95). Pair wise similarity index values ranged from 0.530 to 0.782, 0.608 to 0.862 and 0.559 to 0.777 for RAPD, ISSR and combined RAPD and ISSR data respectively. The cluster analysis grouped the 10 land races into 2 major clusters in both the marker systems. Our research suggests that, both RAPD and ISSR marker systems were equally useful to identify variation within the land races of V. umbellata.

About the author










Saraladevi Muthusamy holds undergraduate degree in Biotechnology from Tamil Nadu Agricultural University, India. She has published 3 international papers in the fields of plant molecular biology and genetics. Presently, she is carrying out her doctoral research in marine microbiology at Linnaeus University, Sweden.

Product details

Authors Selvaraj Kanagarajan, Selvaraju Kanagarajan, Saraladev Muthusamy, Saraladevi Muthusamy, Ponnu, Shanmugasundaram Ponnusamy
Publisher LAP Lambert Academic Publishing
 
Languages English, German
Product format Paperback / Softback
Released 01.01.2013
 
EAN 9783846527726
ISBN 978-3-8465-2772-6
No. of pages 84
Subject Natural sciences, medicine, IT, technology > Biology > Genetics, genetic engineering

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