Literature DB >> 20406378

A real-time PCR-based strategy for the detection of Paenibacillus larvae vegetative cells and spores to improve the diagnosis and the screening of American foulbrood.

J Martínez1, V Simon, B Gonzalez, P Conget.   

Abstract

AIM: To develop a real-time PCR-based strategy for the detection of Paenibacillus larvae vegetative cells and spores to improve the diagnosis and the screening of American foulbrood (AFB), the most harmful pathology of honeybee brood. METHODS AND
RESULTS: A real-time PCR that allowed selective identification and quantification of P. larvae 16S rRNA sequence was developed. Using standard samples quantified by flow cytometry, detection limits of 37.5 vegetative cells ml(-1) and 10 spores ml(-1) were determined. Compared to spread plate method, this real-time PCR-based strategy allowed, in only 2 h, the detection of P. larvae in contaminated honeys. No false-positive results were obtained. Moreover, its detection limit was 100 times lower than that of the culture method (2 vs 200 spores g(-1) of honey).
CONCLUSION: A rapid, selective, with low detection limit, sensitive and specific method to detect and quantify vegetative cells and spores of P. larvae is now available. SIGNIFICANCE AND IMPACT OF STUDY: In addition to honey samples, this real-time PCR-based strategy may be also applied to confirm AFB diagnosis in honeybee brood and to screen other apiary supplies and products (bees, pollen, wax), thus broadening the control of AFB spreading.

Entities:  

Mesh:

Year:  2010        PMID: 20406378     DOI: 10.1111/j.1472-765X.2010.02840.x

Source DB:  PubMed          Journal:  Lett Appl Microbiol        ISSN: 0266-8254            Impact factor:   2.858


  8 in total

1.  Real-time PCR detection of Paenibacillus spp. in raw milk to predict shelf life performance of pasteurized fluid milk products.

Authors:  Matthew L Ranieri; Reid A Ivy; W Robert Mitchell; Emma Call; Stephanie N Masiello; Martin Wiedmann; Kathryn J Boor
Journal:  Appl Environ Microbiol       Date:  2012-06-08       Impact factor: 4.792

Review 2.  Molecular Detection and Differentiation of Arthropod, Fungal, Protozoan, Bacterial and Viral Pathogens of Honeybees.

Authors:  Lucas Lannutti; Fernanda Noemi Gonzales; Maria José Dus Santos; Mónica Florin-Christensen; Leonhard Schnittger
Journal:  Vet Sci       Date:  2022-05-02

3.  Laurus nobilis L. Extracts against Paenibacillus larvae: Antimicrobial activity, antioxidant capacity, hygienic behavior and colony strength.

Authors:  Natalia Jorgelina Fernández; Natalia Damiani; Enrique Arturo Podaza; Josefa Fabiana Martucci; Diana Fasce; Federico Quiroz; Pablo Ezequiel Meretta; Silvina Quintana; Martín Javier Eguaras; Liesel Brenda Gende
Journal:  Saudi J Biol Sci       Date:  2018-04-09       Impact factor: 4.219

Review 4.  Current Status of Loop-Mediated Isothermal Amplification Technologies for the Detection of Honey Bee Pathogens.

Authors:  Timothy C Cameron; Danielle Wiles; Travis Beddoe
Journal:  Front Vet Sci       Date:  2021-04-12

5.  A novel multiplex PCR assay to detect and distinguish between different types of Paenibacillus larvae and Melissococcus plutonius, and a survey of foulbrood pathogen contamination in Japanese honey.

Authors:  Mariko Okamoto; Hirotaka Furuya; Ikuko Sugimoto; Masahiro Kusumoto; Daisuke Takamatsu
Journal:  J Vet Med Sci       Date:  2022-01-26       Impact factor: 1.267

6.  New Paenibacillus larvae bacterial isolates from honey bee colonies infected with American foulbrood disease in Egypt.

Authors:  Saad Hamdy Daif Masry; Sanaa Soliman Kabeil; Elsayed Elsayed Hafez
Journal:  Biotechnol Biotechnol Equip       Date:  2014-07-08       Impact factor: 1.632

7.  Evaluation of Quantitative PCR (qPCR) Paenibacillus larvae Targeted Assays and Definition of Optimal Conditions for Its Detection/Quantification in Honey and Hive Debris.

Authors:  Franca Rossi; Carmela Amadoro; Addolorato Ruberto; Luciano Ricchiuti
Journal:  Insects       Date:  2018-11-16       Impact factor: 2.769

8.  Seasonal dynamics and co-occurrence patterns of honey bee pathogens revealed by high-throughput RT-qPCR analysis.

Authors:  Paul D'Alvise; Victoria Seeburger; Katharina Gihring; Mattias Kieboom; Martin Hasselmann
Journal:  Ecol Evol       Date:  2019-08-14       Impact factor: 2.912

  8 in total

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