Intraspecific genetic variability analysis of Neovossia indica causing Karnal bunt of wheat using repetitive elements

Neovossia indica (Tilletia indica), causing Karnal bunt of wheat, affects major wheat growing regions all over the world. Karnal bunt ranks as one of the major diseases of wheat causing quality losses and monetary losses due to international quarantine regulations. The present work is the first repo...

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Bibliographic Details
Published in:Theoretical and applied genetics 2000-02, Vol.100 (3-4), p.569-575
Main Authors: DATTA, R, RAJEBHOSALE, M. D, DHALIWAL, H. S, SINGH, H, RANJEKAR, P. K, GUPTA, V. S
Format: Article
Language:English
Subjects:
Biological and medical sciences
Cluster analysis
copy number
Development and progression
Disease
Diseases and pests
Fundamental and applied biological sciences. Psychology
Fungal diseases of plants
Fungal plant pathogens
Fungicides
Genetic aspects
Genetic variation
Genomes
Germplasm
Karnal bunt
Mitochondrial DNA
Neovossia indica
Pathogens
Pesticides
Physiological aspects
Phytopathology. Animal pests. Plant and forest protection
Plant genetics
Plant immunology
Quarantine
Seeds
Tilletia indica
Triticum
Triticum aestivum
Variation, races, biotypes, parasitic specialization, genetics
Virulence
Wheat
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Summary:Neovossia indica (Tilletia indica), causing Karnal bunt of wheat, affects major wheat growing regions all over the world. Karnal bunt ranks as one of the major diseases of wheat causing quality losses and monetary losses due to international quarantine regulations. The present work is the first report of a genetic diversity analysis of Indian isolates of N. indica. A library of N. indica isolate Ni7 was constructed in a lambda ZAPII system, and three repetitive elements were identified for molecular analysis. These repetitive elements generated complex hybridization profiles producing fingerprint patterns of all seven isolates. Copy-number estimation of these three elements, pNiR9, pNiR12 and pNiR16, indicated the presence of 32, 61 and 64 copies, respectively. Cluster analysis based on hybridization patterns grouped together moderately virulent isolates Ni1, Ni7 and Ni8, thus suggesting a positive correlation between virulence typing and cluster analysis based on molecular data. Variability analysis of N. indica isolates will aid in checking new resistant sources in host germplasm.
ISSN:0040-5752
1432-2242
DOI:10.1007/s001220050075