ArticleMycopathologia2008
Virulence analysis and oligonucleotide fingerprinting to detect diversity among indian isolates of fusarium oxysporum f. sp. ciceris causing chickpea wilt.
Article in Mycopathologia, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Characterization of3 Biotech · 2025Article
- EnhancingPlants (Basel, Switzerland) · 2024Article
- Resistance screening andFrontiers in plant science · 2023Article
- Molecular characterization and race identification of3 Biotech · 2020Article
- Development of a sequence-characterized amplified region marker for detection of Ascochyta rabiei causing Ascochyta blight in chickpea.Folia microbiologica · 2020Article
- Epitypification ofPersoonia · 2019Article
- Distribution and Genetic Variability ofFrontiers in microbiology · 2018Article
- Molecular phylogeny, pathogenicity and toxigenicity of Fusarium oxysporum f. sp. lycopersici.Scientific reports · 2016Article
- Development of DArT markers and assessment of diversity in Fusarium oxysporum f. sp. ciceris, wilt pathogen of chickpea (Cicer arietinum L.).BMC genomics · 2014Article
- Molecular diversity analysis of Rhizoctonia solani isolates infecting various pulse crops in different agro-ecological regions of India.Folia microbiologica · 2012Article
- Genetic diversity analysis and development of SCAR marker for detection of Indian populations of Fusarium oxysporum f. sp. ciceris causing chickpea wilt.Folia microbiologica · 2012Article
- ITS-RFLP fingerprinting and molecular marker for detection of Fusarium oxysporum f.sp. ciceris.Folia microbiologica · 2010Article
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2 authors.
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Abstract
Virulence analysis of 64 isolates of Fusarium oxysporum f. sp. ciceris causing chickpea wilt collected from major chickpea growing states of India on 14 varieties, including 10 international differentials revealed that the isolates from each state were highly variable. Based on the reactions on international differentials, more than one race was found to be prevalent in every state. Majority of the isolates were not matched with the race specific reactions. Therefore, some of the cultivars, namely, GPF 2, DCP 92-3, and KWR 108 should be included as new differentials to obtain clear-cut differential responses. Randomly amplified polymorphic DNA (RAPD), inter-simple sequence repeat (ISSR), and simple sequence repeat (SSR) markers were used to assess the genetic diversity of these isolates. Unweighted paired group method with arithmetic average (UPGMA) cluster analysis was used to divide the isolates into distinct clusters. The clusters generated by RAPD grouped all isolates into three categories at 25% genetic similarity and into two major categories at 30% genetic similarity. ISSR and SSR analyses also grouped all the isolates into two major categories. Majority of the isolates from Punjab and a few from Rajasthan were grouped in one category while the isolates from all other states were grouped in another suggesting the existence of diverse genetic populations of the pathogen at the same location. Some of the RAPD (OPM 6, OPI 9, P 17, OPN 4, OPF 1, P 17, P 21, and SC 1), ISSR (ISSR 7, ISSR 11, and ISSR 12) and SSR (MB 17) markers clearly distinguished area specific isolates.
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