Detection of genetic variability in pearl millet downy mildew (Sclerospora graminicola) by AFLP

Singru, R and Sivaramakrishnan, S and Thakur, R P and Gupta, V S and Ranjekar, P K (2003) Detection of genetic variability in pearl millet downy mildew (Sclerospora graminicola) by AFLP. Biochemical Genetics, 41 (11-12). pp. 361-374. ISSN 0006-2928

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Downy mildew, caused by Sclerospora graminicola, is an economically important disease of pearl millet in the semiarid regions of Asia and Africa. Amplified restriction fragment length polymorphism (AFLP) was used to detect the extent of genomic variation among 19 fungal isolates from different cultivars of pearl millet grown in various regions of India. Fourteen AFLP primer combinations produced 184 polymorphic bands. An unweighted pair-group method of averages cluster analysis represented by dendrogram and principal coordinate analysis separated the mildew collections into four distinct groups. Isolates having characteristic opposite mating abilities, geographic relatedness, virulence, common host cultivars, and changes through asexual generations reflected heterogeneity of the pathogen. The use of AFLP to detect genetic variation is particularly important in selecting mildew isolates to screen breeding material for identification of resistant millet and monitoring changes in S. graminicola in relation to changes in host for effective disease management

Item Type: Article
Uncontrolled Keywords: AFLP, DNA fingerprinting, downy mildew fungus, pearl millet
Subjects: Mandate crops > Millets
Depositing User: Ms K Syamalamba
Date Deposited: 03 Nov 2011 05:03
Last Modified: 03 Nov 2011 05:03
Official URL:
Acknowledgement: R. Singru thanks the Council of Scientific and Industrial Research, new Delhi, for the Senior Research Fellowship. We thank Mr V>P. Rao, ICRISAT, for providing the isolates: dr K. Pillen, Department of Crop Science and Plant Breeding, University of Bonn, for the data analysis programs, and Mr Kremnic, Forschungszentrum Julich GmbH, for the autoradiogram photo. This work was carried out as part of PhD work of R. Singru under a collaboration project between ICRISAT and NCL
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