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An AFLP based method for the detection and identification of indigenous yeast in complex must samples without a microbiological culture

机译:基于AFLP的无需微生物培养的复杂必须样品中检测和鉴定本地酵母的方法

摘要

Ribera de Duero Spanish wines are appreciated worldwide for their organoleptic characteristics; however, the wine market is very competitive, and the demand for high quality natural wines has been increasing in recent years. The microbiology of the process, specifically the yeasts involved in the alcoholic fermentation, constitutes an essential element directly related to the complexity and quality of the wine. Our work has focused on the development of a procedure to identify the indigenous wine yeasts present in complex samples of must and wine, without requiring colony isolation or a microbiological culture. The procedure is based on the use of AFLP molecular markers. The AFLP allele profiles obtained from complex samples are compared with the species-specific ones previously determined and included in a database using a sorting algorithm. The system allows a fast and efficient identification of yeast species and strains present in complex must and wine samples. This information can then be used by the enologists during the fermentation process in order to obtain signed wines.
机译:Ribera de Duero西班牙葡萄酒因其感官特性而享誉全球。然而,葡萄酒市场竞争激烈,近年来对优质天然葡萄酒的需求一直在增长。该过程的微生物学,特别是酒精发酵中涉及的酵母菌,是与葡萄酒的复杂性和质量直接相关的基本要素。我们的工作重点是开发一种程序,以鉴定在葡萄汁和葡萄酒的复杂样品中存在的本地葡萄酒酵母,而无需进行菌落分离或微生物培养。该程序基于AFLP分子标记的使用。将使用复杂算法从复杂样本中获得的AFLP等位基因图谱与先前确定并包含在数据库中的物种特定的图谱进行比较。该系统可以快速有效地鉴定复杂的葡萄汁和葡萄酒样品中存在的酵母菌种和菌株。然后,酿酒师可以在发酵过程中使用此信息,以获取签名的葡萄酒。

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