Huhtamella Sanna, Leinonen Marika, Nieminen Timo, Fahnert Beatrix, Myllykoski Liisa, Breitenstein Antje, Neubauer Peter
Bioprocess Engineering Laboratory, Department of Process and Environmental Engineering, Biocenter Oulu, University of Oulu, P.O. Box 4300, FI-90014 Oulu, Finland.
J Microbiol Methods. 2007 Mar;68(3):543-53. doi: 10.1016/j.mimet.2006.10.009. Epub 2006 Dec 6.
Recently we showed the applicability and sensitivity of the RNA-based sandwich hybridisation assay (SHA) for detection of gram-negative cells in environmental samples [Leskelä, T., Tilsala-Timisjärvi, A., Kusnetsov, J., Neubauer, P., Breitenstein, A., 2005. Sensitive genus-specific detection of Legionella by a 16S rRNA based sandwich hybridization assay. J. Microbiol. Met. 62, 167-179.]. In this study the aim was to test and optimise this method for the detection of gram-positive cells from brewery yeast slurries that contain up to 10(9) yeast cells/ml. Eleven new oligonucleotide probes were designed for group-specific detection of different beer-spoiling lactic acid bacteria of the genera Lactobacillus and Pediococcus. Functionality of the designed probes was shown by testing individual and paired probes using in vitro transcribed 16S rRNA and crude cell extracts as samples. Various simple and fast cell disruption methods were evaluated for the efficient disruption of lactobacilli and pediococci. The applicability of the designed oligonucleotide probes and the SHA for detection of brewery contaminants was demonstrated using both artificial and actual yeast slurry samples from brewery fermentation tanks with either fluorimetric readout or an electric biochip analyser.
最近,我们展示了基于RNA的夹心杂交检测法(SHA)在检测环境样品中革兰氏阴性菌方面的适用性和灵敏度[莱斯科拉,T.,蒂尔萨拉 - 蒂米斯耶尔维,A.,库斯内佐夫,J.,诺伊鲍尔,P.,布赖滕施泰因,A.,2005年。基于16S rRNA的夹心杂交检测法对军团菌的灵敏属特异性检测。《微生物学方法杂志》62,167 - 179页]。在本研究中,目的是测试和优化该方法,以检测来自啤酒厂酵母浆(每毫升含有多达10⁹个酵母细胞)中的革兰氏阳性菌。设计了11种新的寡核苷酸探针,用于对乳杆菌属和片球菌属中不同的啤酒腐败乳酸菌进行属特异性检测。通过使用体外转录的16S rRNA和粗细胞提取物作为样品来测试单个和配对探针,展示了所设计探针的功能。评估了各种简单快速的细胞破碎方法,以有效地破碎乳杆菌和片球菌。使用来自啤酒厂发酵罐的人工和实际酵母浆样品,通过荧光读数或电生物芯片分析仪,证明了所设计的寡核苷酸探针和SHA在检测啤酒厂污染物方面的适用性。