ISSR profiling of Indian cultivars of mulberry (Morus spp.) and its relevance to breeding programs |
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Authors: | K Vijayan S N Chatterjee |
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Institution: | (1) SeriBiotech Laboratory, CSB campus, Carmelram (P.O.), Sarjapur Road, Kodathi, Bangalore –, 560 035, India |
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Abstract: | Mulberry, Morus spp. has a wide range of use, the chief among them is to feed the silk producing caterpillar Bombyx mori L. (Bombycidae; Bombycoidea). As a homeland of mulberry, India has a number of indigenous mulberry species, of which a few
are widely cultivated. In the present investigation genetic distance among such eleven mulberry cultivars originated from
six different states of India covering a wide geographic area extending from 15° N to 32° N latitude and 72°E to 89°E longitude was studied using inter-simple sequence repeat primers. Out of the 20primers tested, 13 primers, viz, nine di-nucleotide,
three tri-nucleotide and one penta-nucleotide repeats, gave clear and reproducible band profiles. While the (AT)n rich primers could not amplify the DNA, the (GA)n, (AC)n and (AG)n rich primers gave excellent amplification profiles. The
genetic distance among the cultivars varied from a minimum of 0.053, between Punjab local and Bombay local, to a maximum of
0.431, between Almora local andSujanpur-5. Clustering of the cultivars according to nearest neighbor method created three
groups. The north-Indian cultivars made a separate and distinct group while the cultivars originated from eastern and southern
India occupied a distinct position. Almora local was found quite different from others. The first two canonical functions
identified through discriminant function analysis accounted for 91.2% of the total variability. Distribution of cultivars
belonging to six different zones on canonical matrix realized from Discriminant Function Analysis (DFA) revealed wider variability
for West Bengal, Karnataka and Punjab which reaches the group centroids of Uttar Pradesh and Himachal Pradesh. This attests
to the past contribution of West Bengal in east and Karnataka in south towards development of mulberry cultivars indifferent
parts of India. Step-wise linear regression analysis, further, identified two markers (825.1400 and835.750) associated with leaf yield, which also satisfied the Beta estimation, thereby testifying strong association of these two
markers with leaf yield. This finding along with the classification of the eleven cultivars bear strong relevance to mulberry
breeding for different agro climatic areas.
This revised version was published online in August 2006 with corrections to the Cover Date. |
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Keywords: | discriminant function analysis genetic variability ISSR markers mulberry |
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