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Melissococcus plutonius Can Be Effectively and Economically Detected Using Hive Debris and Conventional PCR.


ABSTRACT: European foulbrood (EFB) is an infectious disease of honey bees caused by the bacterium Melissococcus plutonius. A method for DNA isolation and conventional PCR diagnosis was developed using hive debris, which was non-invasively collected on paper sheets placed on the bottom boards of hives. Field trials utilized 23 honey bee colonies with clinically positive symptoms and 21 colonies without symptoms. Bayes statistics were applied to calculate the comparable parameters for EFB diagnostics when using honey, hive debris, or samples of adult bees. The reliability of the conventional PCR was 100% at 6.7 × 103 Colony Forming Unit of M. plutonius in 1 g of debris. The sensitivity of the method for the sampled honey, hive debris, and adult bees was 0.867, 0.714, and 1.000, respectively. The specificity for the tested matrices was 0.842, 0.800, and 0.833. The predictive values for the positive tests from selected populations with 52% prevalence were 0.813, 0.833, and 0.842, and the real accuracies were 0.853, 0.750, and 0.912, for the honey, hive debris, and adult bees, respectively. It was concluded that hive debris can effectively be utilized to non-invasively monitor EFB in honey bee colonies.

SUBMITTER: Biova J 

PROVIDER: S-EPMC7916248 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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<i>Melissococcus plutonius</i> Can Be Effectively and Economically Detected Using Hive Debris and Conventional PCR.

Biová Jana J   Charrière Jean-Daniel JD   Dostálková Silvie S   Škrabišová Mária M   Petřivalský Marek M   Bzdil Jaroslav J   Danihlík Jiří J  

Insects 20210209 2


European foulbrood (EFB) is an infectious disease of honey bees caused by the bacterium <i>Melissococcus plutonius</i>. A method for DNA isolation and conventional PCR diagnosis was developed using hive debris, which was non-invasively collected on paper sheets placed on the bottom boards of hives. Field trials utilized 23 honey bee colonies with clinically positive symptoms and 21 colonies without symptoms. Bayes statistics were applied to calculate the comparable parameters for EFB diagnostics  ...[more]

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