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Book of Abstracts First Legume Society Conference 2013: A Legume Odyssey Novi Sad, Serbia, 9-11 May 2013
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Morphological and Microsatellite markers based Genetic Diversity in Cowpea [Vigna
unguiculata (L.) Walp]
KP Viswanatha 1 , Hasan Khan 1 , K Amitha 2
1 University of Agricultural Sciences, Raichur, Karnataka, India
2 University of Agricultural Sciences, Bangalore, Karnataka, India
Morphological and molecular genetic diversity analysis on 60 selected cowpea genotypes revealed
relatively low magnitude of genetic diversity at both molecular and morphological levels. Genetic
similarity coefficient for all the 60 accessions ranged from 82 to 100 for morphological traits.
Phenotypic based UPGMA clustering pattern separated variability among these accessions based
on yield and its important attributing traits and grouped all the genotypes into seven major
clusters at 92 per cent similarity coefficient. Cluster I, V and VI were solitary in nature, while
cluster VII had maximum genotypes (33). Molecular analysis of the same genotypes with 42 SSR
primers revealed 23 primer pairs were polymorphic and 11 were found monomorphic out of 34
primers amplified. The polymorphic primers produced allele’s ranging between 2 to 5 with an
average value of 2.30. The Polymorphism Information Content ranged from 0.12 (primer CP
169) to 0.67 (primers CP 573). Based on the PIC values and number of alleles amplified, the
primer CP 573 was found to be more informative in the present set of genotypes. The genetic
similarity coefficient for all 60 accessions ranged from 57 to 96. UPGMA based dendrogram was
obtained from the binary data deduced from the DNA profiles of the samples analyzed. Seven
major clusters were formed on the basis of Jaccard’s similarity coefficient at 65 per cent. Cluster
V had maximum 28 genotypes, while the cluster II was solitary in nature and indicates enormous
variability in genetic constitution. A comparative study of the dendrograms based on
morphological and molecular analysis revealed that SSR markers exhibiting higher range of
polymorphism produced more informative bands and had more discriminating power (57-100%)
than morphological diversity analysis (82-100%).
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