Detection of genetic variability in Fusarium udum using DNA markers
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Keywords:
AFLP, DNA fingerprinting, Fusarium wilt, pigeonpeaAbstract
The genetic variability in 36 isolates of Fusarium udum collected from 4 pigeonpea (Cajanus cajan) growing States in India was assessed using Random Amplified Polymorphic DNA (RAPDs), and Amplification Fragment Length Polymorphism (AFLP) techniques. Though the two molecular markers detected high levels of polymorphism among the fungal pathogen isolates, the degree of polymorphism varied depending on the marker selected. Cluster analysis of the similarity index data from the two DNA markers classified the isolates into three major groups suggesting the existence of a minimum of 3 specific races of the pathogen prevailing in the pigeonpea growing areas of India. The maximum variation was seen among the pathogen isolates from Maharashtra followed by the other States. All the five isolates from the pigeonpea fields of ICRISAT were placed in the same group suggesting the prevalence of a single pathogenic race. AFLP proved to be better in assessing the genetic diversity among the fungal pathogen isolates than RAPDs
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