首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Detection of Paenibacillus larvae subspecies larvae spores in naturally infected bee larvae and artificially contaminated honey by PCR
Authors:Piccini  Claudia  D'Alessandro  Bruno  Antúnez  Karina  Zunino  Pablo
Institution:(1) Laboratorio de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable, Avendia Italia 3318, CP 11600, Montevideo, Uruguay
Abstract:American foulbrood (AFB), a severe bacterial disease of honeybee brood, has recently been found in Uruguayan apiaries. Detection of the causative agent, Paenibacillus larvae subspecies larvae, is a very important concern in order to prevent disease dissemination and decrease of honey production. Since spores are the infective forms of this pathogen, in the present work we report the use of polymerase chain reaction (PCR) to detect P. l. subsp. larvae spores from in vitro cultures, larvae with clinical symptoms and experimentally contaminated honey. The set of primers was designed based on the published P. l. subsp. larvae 16S rRNA gene. Using this approach we could amplify the pathogen DNA and obtain a great sensitivity and a notable specificity. Detection limit for spore suspension was a 10–2 dilution of template DNA obtained from 32 spores, as determined by plate count. For artificially contaminated honey, we could detect the PCR product at a 10–3 dilution of template DNA obtained from 170 spores. In addition, when PCR conditions were set to improve specificity, we were able to amplify P. l. subsp. larvae DNA selectively and no cross-reactions were observed with a variety of related bacterial species, including P. l. subsp. pulvifaciens. Since spore detection is very important to confirm the presence of the disease, this method provides a reliable diagnosis of AFB from infected larvae and contaminated honey in a few hours.
Keywords:American foulbrood  American foulbrood-contaminated honey  dead bee larvae  Paenibacillus larvae subspecies larvae  polymerase chain reaction  16S rRNA  spore detection
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号