Ogier J-C, Lafarge V, Girard V, Rault A, Maladen V, Gruss A, Leveau J-Y, Delacroix-Buchet A
Unité de Recherches Laitières et Génétique Appliquée, Institut National de la Recherche Agronomique, Domaine de Vilvert, 78352 Jouy-en-Josas, France.
Appl Environ Microbiol. 2004 Sep;70(9):5628-43. doi: 10.1128/AEM.70.9.5628-5643.2004.
Numerous microorganisms, including bacteria, yeasts, and molds, constitute the complex ecosystem present in milk and fermented dairy products. Our aim was to describe the bacterial ecosystem of various cheeses that differ by production technology and therefore by their bacterial content. For this purpose, we developed a rapid, semisystematic approach based on genetic profiling by temporal temperature gradient electrophoresis (TTGE) for bacteria with low-G+C-content genomes and denaturing gradient gel electrophoresis (DGGE) for those with medium- and high-G+C-content genomes. Bacteria in the unknown ecosystems were assigned an identity by comparison with a comprehensive bacterial reference database of approximately 150 species that included useful dairy microorganisms (lactic acid bacteria), spoilage bacteria (e.g., Pseudomonas and Enterobacteriaceae), and pathogenic bacteria (e.g., Listeria monocytogenes and Staphylococcus aureus). Our analyses provide a high resolution of bacteria comprising the ecosystems of different commercial cheeses and identify species that could not be discerned by conventional methods; at least two species, belonging to the Halomonas and Pseudoalteromonas genera, are identified for the first time in a dairy ecosystem. Our analyses also reveal a surprising difference in ecosystems of the cheese surface versus those of the interior; the aerobic surface bacteria are generally G+C rich and represent diverse species, while the cheese interior comprises fewer species that are generally low in G+C content. TTGE and DGGE have proven here to be powerful methods to rapidly identify a broad range of bacterial species within dairy products.
包括细菌、酵母和霉菌在内的众多微生物构成了牛奶和发酵乳制品中存在的复杂生态系统。我们的目的是描述不同奶酪的细菌生态系统,这些奶酪因生产工艺不同而具有不同的细菌含量。为此,我们开发了一种快速、半系统的方法,对于基因组中G+C含量低的细菌,采用基于时间温度梯度电泳(TTGE)的基因谱分析;对于基因组中G+C含量中等和高的细菌,采用变性梯度凝胶电泳(DGGE)。通过与一个包含约150个物种的综合细菌参考数据库进行比较,确定未知生态系统中的细菌种类,该数据库包括有用的乳制品微生物(乳酸菌)、腐败菌(如假单胞菌和肠杆菌科)和病原菌(如单核细胞增生李斯特菌和金黄色葡萄球菌)。我们的分析提供了不同商业奶酪生态系统中细菌的高分辨率信息,并鉴定出了传统方法无法识别的物种;首次在乳制品生态系统中鉴定出至少两种属于嗜盐单胞菌属和假交替单胞菌属的物种。我们的分析还揭示了奶酪表面和内部生态系统之间令人惊讶的差异;需氧表面细菌通常富含G+C,且代表多种物种,而奶酪内部的物种较少,通常G+C含量较低。在此,TTGE和DGGE已被证明是快速鉴定乳制品中广泛细菌种类的有力方法。