Rossi Franca, Amadoro Carmela, Ruberto Addolorato, Ricchiuti Luciano
Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise "G. Caporale", Via Campo Boario 1, 64100 Teramo, Italy.
Medicine and Health Science Department "V. Tiberio", University of Molise, Via de Santis, 86100 Campobasso, Italy.
Insects. 2018 Nov 16;9(4):165. doi: 10.3390/insects9040165.
The application of quantitative PCR (qPCR) as a routine method to detect and enumerate in honey and hive debris could greatly speed up the estimation of prevalence and outbreak risk of the American foulbrood (AFB) disease of . However, none of the qPCR tests described so far has been officially proposed as a standard procedure for detection and enumeration for surveillance purposes. Therefore, in this study, inclusivity, exclusivity and sensitivity of detection of spores directly in samples of honey and hive debris were re-evaluated for the previously published qPCR methods. To this aim, recently acquired sequence data were considered to assess inclusivity in silico and more appropriate non-target species were used to verify exclusivity experimentally. This led to the modification of a previously described method by shortening the forward primer, designing a new reverse primer and using more stringent amplification conditions. The new test allowed the detection of spores in honey and hive debris down to 1 CFU/g. The qPCR test optimized in this study proved suitable for quantification and also for identification of field strains and real contaminated samples. Therefore, it is proposed for reliable detection and quantification of in honey and hive debris, thus circumventing the disadvantages of late AFB diagnosis based on clinical symptoms and possible underestimation of spore numbers that is the main drawback of culture-dependent procedures.
将定量聚合酶链反应(qPCR)作为检测和计数蜂蜜及蜂巢碎片中[具体微生物名称未给出]的常规方法,可极大加快对美洲幼虫腐臭病(AFB)患病率和爆发风险的评估。然而,目前所描述的qPCR检测方法均未被正式提议作为用于监测目的的[具体微生物名称未给出]检测和计数的标准程序。因此,在本研究中,针对先前发表的qPCR方法,重新评估了直接在蜂蜜和蜂巢碎片样本中检测[具体微生物名称未给出]孢子的包容性、排他性和灵敏度。为此,考虑最近获得的[具体微生物名称未给出]序列数据以在计算机上评估包容性,并使用更合适的非目标物种通过实验验证排他性。这导致对先前描述的方法进行修改,缩短正向引物、设计新的反向引物并使用更严格的扩增条件。新测试能够检测出蜂蜜和蜂巢碎片中低至1 CFU/g的[具体微生物名称未给出]孢子。本研究中优化的qPCR测试被证明适用于定量分析,也适用于鉴定田间[具体微生物名称未给出]菌株和实际受污染样本。因此,提议将其用于可靠地检测和定量蜂蜜及蜂巢碎片中的[具体微生物名称未给出],从而规避基于临床症状的AFB诊断较晚以及可能低估孢子数量(这是基于培养的程序的主要缺点)的弊端。