Literature DB >> 19912457

A sensitive FRET probe assay for the selective detection of Mycobacterium marinum in fish.

F Salati1, M Meloni, A Fenza, G Angelucci, A Colorni, G Orrù.   

Abstract

Mycobacterium marinum is the causative agent of mycobacteriosis in wild and cultured fish and of atypical infection in humans. For the diagnosis of M. marinum, cultural and traditional polymerase chain reaction (PCR) methods are currently used. However, these protocols, although able to discriminate within Mycobacterium spp., have proved to be time-consuming or difficult to carry out. For this reason, the aim of this study was to obtain a rapid and specific diagnostic tool to quantify fish Mycobacterium spp. or to discriminate M. marinum from other mycobacteria. A primary PCR amplification with SYBR Green had a detection limit (dl) of 10(2)Mycobacterium DNA copies with a log-linear quantification range up to 10(4) (R(2) = 0.99). The second PCR using FRET probes, flanking a region containing species specific nucleotide variations, was designed and validated with synthetic erp gene fragments corresponding to different mycobacterial species, different whole mycobacteria suspensions, experimentally infected fish tissues, tissues from experimentally infected fish, and samples of cultured fish. The results show that the FRET probes demonstrate a high specificity as the melting curve analysis allowed efficient discrimination of M. marinum from Mycobacterium chelonae, Mycobacterium fortuitum, Mycobacterium pseudoshottsii, Mycobacterium shottsii and Mycobacterium ulcerans. The kidney is the organ with the strongest detection signal and using fish tissues the method has a mean sensitivity of 50 DNA copies/PCR.

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Year:  2009        PMID: 19912457     DOI: 10.1111/j.1365-2761.2009.01112.x

Source DB:  PubMed          Journal:  J Fish Dis        ISSN: 0140-7775            Impact factor:   2.767


  7 in total

1.  Rapid detection and identification of nontuberculous mycobacterial pathogens in fish by using high-resolution melting analysis.

Authors:  Thu Nguyet Phung; Domenico Caruso; Sylvain Godreuil; Nicolas Keck; Tatiana Vallaeys; Jean-Christophe Avarre
Journal:  Appl Environ Microbiol       Date:  2013-10-11       Impact factor: 4.792

2.  Fish tank granuloma caused by Mycobacterium marinum in two aquarists: two case reports.

Authors:  Michal Slany; Petr Jezek; Monika Bodnarova
Journal:  Biomed Res Int       Date:  2013-12-12       Impact factor: 3.411

3.  Mycobacterium pseudoshottsii in Mediterranean Fish Farms: New Trouble for European Aquaculture?

Authors:  Davide Mugetti; Katia Varello; Andrea Gustinelli; Paolo Pastorino; Vasco Menconi; Daniela Florio; Maria Letizia Fioravanti; Elena Bozzetta; Simona Zoppi; Alessandro Dondo; Marino Prearo
Journal:  Pathogens       Date:  2020-07-27

Review 4.  Mycobacterium marinum infection in fish and man: epidemiology, pathophysiology and management; a review.

Authors:  Emad Hashish; Abdallah Merwad; Shimaa Elgaml; Ali Amer; Huda Kamal; Ahmed Elsadek; Ayman Marei; Mahmoud Sitohy
Journal:  Vet Q       Date:  2018-12       Impact factor: 3.320

5.  Can an Investigation of a Single Gene be Effective in Differentiating Certain Features of the Bipolar Disorder Profile?

Authors:  Martina Piras; Alessandra Scano; Germano Orrù; Antonio Preti; Cinzia Marchese; Goce Kalcev
Journal:  Clin Pract Epidemiol Ment Health       Date:  2021-12-22

6.  Genetic Variants Involved in Bipolar Disorder, a Rough Road Ahead.

Authors:  Germano Orrù; Mauro Giovanni Carta
Journal:  Clin Pract Epidemiol Ment Health       Date:  2018-02-28

7.  Design of FRET Probes for SNP RS1006737, Related to Mood Disorder.

Authors:  Germano Orrù; Mauro Giovanni Carta; Alessia Bramanti
Journal:  Clin Pract Epidemiol Ment Health       Date:  2018-02-28
  7 in total

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