Literature DB >> 23464901

A newly developed real-time PCR assay for detection and quantification of Fusarium oxysporum and its use in compatible and incompatible interactions with grafted melon genotypes.

Anita Haegi1, Valentina Catalano, Laura Luongo, Salvatore Vitale, Michele Scotton, Nadia Ficcadenti, Alessandra Belisario.   

Abstract

A reliable and species-specific real-time quantitative polymerase chain reaction (qPCR) assay was developed for detection of the complex soilborne anamorphic fungus Fusarium oxysporum. The new primer pair, designed on the translation elongation factor 1-α gene with an amplicon of 142 bp, was highly specific to F. oxysporum without cross reactions with other Fusarium spp. The protocol was applied to grafted melon plants for the detection and quantification of F. oxysporum f. sp. melonis, a devastating pathogen of this cucurbit. Grafting technologies are widely used in melon to confer resistance against new virulent races of F. oxysporum f. sp. melonis, while maintaining the properties of valuable commercial varieties. However, the effects on the vascular pathogen colonization have not been fully investigated. Analyses were performed on 'Charentais-T' (susceptible) and 'Nad-1' (resistant) melon cultivars, both used either as rootstock and scion, and inoculated with F. oxysporum f. sp. melonis race 1 and race 1,2. Pathogen development was compared using qPCR and isolations from stem tissues. Early asymptomatic melon infections were detected with a quantification limit of 1 pg of fungal DNA. The qPCR protocol clearly showed that fungal development was highly affected by host-pathogen interaction (compatible or incompatible) and time (days postinoculation). The principal significant effect (P ≤ 0.01) on fungal development was due to the melon genotype used as rootstock, and this effect had a significant interaction with time and F. oxysporum f. sp. melonis race. In particular, the amount of race 1,2 DNA was significantly higher compared with that estimated for race 1 in the incompatible interaction at 18 days postinoculation. The two fungal races were always present in both the rootstock and scion of grafted plants in either the compatible or incompatible interaction.

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Year:  2013        PMID: 23464901     DOI: 10.1094/PHYTO-11-12-0293-R

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  6 in total

1.  Quick and accurate detection of Fusarium oxysporum f. sp. carthami in host tissue and soil using conventional and real-time PCR assay.

Authors:  Neeraja Singh; Rupam Kapoor
Journal:  World J Microbiol Biotechnol       Date:  2018-11-16       Impact factor: 3.312

2.  Use of Comparative Genomics-Based Markers for Discrimination of Host Specificity in Fusarium oxysporum.

Authors:  Peter van Dam; Mara de Sain; Anneliek Ter Horst; Michelle van der Gragt; Martijn Rep
Journal:  Appl Environ Microbiol       Date:  2017-12-15       Impact factor: 4.792

3.  Comparison of DNA Microarray, Loop-Mediated Isothermal Amplification (LAMP) and Real-Time PCR with DNA Sequencing for Identification of Fusarium spp. Obtained from Patients with Hematologic Malignancies.

Authors:  Marcela de Souza; Tetsuhiro Matsuzawa; Kanae Sakai; Yasunori Muraosa; Luzia Lyra; Ariane Fidelis Busso-Lopes; Anna Sara Shafferman Levin; Angélica Zaninelli Schreiber; Yuzuru Mikami; Tohoru Gonoi; Katsuhiko Kamei; Maria Luiza Moretti; Plínio Trabasso
Journal:  Mycopathologia       Date:  2017-03-21       Impact factor: 2.574

4.  Transcriptome Analysis of the Melon-Fusarium oxysporum f. sp. melonis Race 1.2 Pathosystem in Susceptible and Resistant Plants.

Authors:  M Silvia Sebastiani; Paolo Bagnaresi; Sara Sestili; Chiara Biselli; Antonella Zechini; Luigi Orrù; Luigi Cattivelli; Nadia Ficcadenti
Journal:  Front Plant Sci       Date:  2017-03-17       Impact factor: 5.753

5.  Detection and Quantification of Fusarium oxysporum f. sp. niveum Race 1 in Plants and Soil by Real-time PCR.

Authors:  Xin Zhong; Yang Yang; Jing Zhao; Binbin Gong; Jingrui Li; Xiaolei Wu; Hongbo Gao; Guiyun Lü
Journal:  Plant Pathol J       Date:  2022-06-01       Impact factor: 2.321

Review 6.  Promising Perspectives for Detection, Identification, and Quantification of Plant Pathogenic Fungi and Oomycetes through Targeting Mitochondrial DNA.

Authors:  Tomasz Kulik; Katarzyna Bilska; Maciej Żelechowski
Journal:  Int J Mol Sci       Date:  2020-04-10       Impact factor: 5.923

  6 in total

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