Evidence map›Paper›PMID 33118084›Full record

ArticleWorld journal of microbiology & biotechnology2020

Genetic diversity studies based on morpho-pathological and molecular variability of the Sclerotinia sclerotiorum population infecting potato (Solanum tuberosum L.).

Sorabh Chaudhary, Mehi Lal, Sushma Sagar, Himanshu Tyagi, Manoj Kumar, Sanjeev Sharma, S K Chakrabarti

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Article in World journal of microbiology & biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Microorganisms · 2026
    Article
  2. Article
  3. Article
  4. Molecular Characterization ofMicroorganisms · 2023
    Article
  5. Estimating the Climate Niche ofJournal of fungi (Basel, Switzerland) · 2023
    Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sorabh ChaudharyDivision of Plant Protection, ICAR-Central Potato Research Institute (Regional Station), Modipuram, Meerut, UP, 250110, India. sorabh.gene@gmail.com.ORCID http://orcid.org/0000-0003-3775-1054
Mehi LalDivision of Plant Protection, ICAR-Central Potato Research Institute (Regional Station), Modipuram, Meerut, UP, 250110, India.
Sushma SagarDivision of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, 110 012, India.
Himanshu TyagiDivision of Plant Protection, ICAR-Central Potato Research Institute (Regional Station), Modipuram, Meerut, UP, 250110, India.
Manoj KumarDivision of Plant Protection, ICAR-Central Potato Research Institute (Regional Station), Modipuram, Meerut, UP, 250110, India.
Sanjeev SharmaDivision of Plant Protection, ICAR-Central Potato Research Institute, Shimla, HP, 170001, India.
S K ChakrabartiDivision of Plant Protection, ICAR-Central Potato Research Institute, Shimla, HP, 170001, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

White mould or stem rot, caused by Sclerotinia sclerotiorum (Lib.) de Bary, is a devastating fungal disease found in major potato cultivation areas worldwide. The aim of this study was to characterize genetic diversity in the S. sclerotiorum population from the main potato producing regions of India by means of morphological (mycelial growth, colony colour, number and distribution pattern of sclerotia) and molecular characteristics, as well as to evaluate the virulence of S. sclerotiorum isolates in potato for the first time. Among the S. sclerotiorum population analyzed, high phenotypic and genotypic diversity were observed. Using all the morphological characteristics, a dendrogram was constructed based on Gower's similarity coefficient that distributed all the isolates into three clusters at the 0.62 similarity coefficient. Carpogenic germination of apothecia revealed that larger sclerotia produced a greater number of apothecia while smaller sclerotia produced fewer apothecia. Pathogenicity test results revealed that out of 25 isolates, seven were highly aggressive, 14 were moderate and four had low aggressiveness, whilst isolates from Punjab were more pathogenic than those of Uttar Pradesh. Phylogenetic analysis of universal rice primer polymorphism showed high genetic variability within the isolates that grouped all the isolates in three evolutionary lineages in the resulting dendrogram and showed partial relationship with geographical locations of the isolates. Further, the findings suggest the occurrence of higher heterogeneity and genetic diversity among the S. sclerotiorum isolates that indicates the existence of both clonal and sexual reproduction in the pathogen population of potato producing areas in India.

Indexed as

Genetic VariationAscomycotaEvolution, MolecularIndiaPhenotypePhylogenyPhylogeographyPlant DiseasesSequence Analysis, DNASolanum tuberosumVirulenceGenetic diversityMolecularMorphologicalPotatoStem rotURPVirulence

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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.