Evidence map›Paper›PMID 18266072›Full record

ArticleMycopathologia2008

Virulence analysis and oligonucleotide fingerprinting to detect diversity among indian isolates of fusarium oxysporum f. sp. ciceris causing chickpea wilt.

S C Dubey, Shio Raj Singh

Abstract read
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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.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Characterization of3 Biotech · 2025
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  2. EnhancingPlants (Basel, Switzerland) · 2024
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  3. Resistance screening andFrontiers in plant science · 2023
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  6. Epitypification ofPersoonia · 2019
    Article
  7. Distribution and Genetic Variability ofFrontiers in microbiology · 2018
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

S C DubeyDivision of Plant Pathology, Indian Agricultural Research Institute, New Delhi , India. scdube2002@yahoo.co.in
Shio Raj Singh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Genetic VariationRepetitive Sequences, Nucleic AcidCicerDNA FingerprintingDNA, FungalFusariumOligonucleotidesPlant DiseasesRandom Amplified Polymorphic DNA TechniqueVirulenceDNA, FungalOligonucleotides

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.