Guidone Angela, Zotta Teresa, Matera Attilio, Ricciardi Annamaria, De Filippis Francesca, Ercolini Danilo, Parente Eugenio
Scuola di Scienze Agrarie, Forestali, Alimentari ed Ambientali, Università degli Studi della Basilicata, Potenza, Italy.
Istituto di Scienze dell'Alimentazione, CNR, Avellino, Italy.
Int J Food Microbiol. 2016 Jan 4;216:9-17. doi: 10.1016/j.ijfoodmicro.2015.09.002. Epub 2015 Sep 9.
The microbiota of high-moisture Mozzarella cheese made from cow's milk and produced with different acidification methods was evaluated at the end of refrigerated storage by pyrosequencing of the 16S rRNA gene. The cheeses were clearly separated on the basis of the acidification methods. Cheeses produced with the addition of starters were dominated by Streptococcus thermophilus, but a variety of lactic acid bacteria and spoilage microorganisms appeared at low levels (0.01-1%). Cheeses produced by direct addition of citric acid were dominated by a diverse microbiota, including both lactic acid bacteria and psychrotrophic γ-proteobacteria. For five brands the acidification system was not declared on the label: the microbiota was dominated by thermophilic lactic acid bacteria (S. thermophilus, Lactobacillus delbrueckii, Lactobacillus helveticus) but a variety of other subdominant lactic acid bacteria, psychrotrophs and Enterobacteriaceae were present, with a diversity comparable or higher to cheeses produced by direct acid addition. This led to the conclusion that undefined starters were used for acidification. Both ordination methods and network analysis were used for the representation of beta-diversity: matrix cluster analysis, principal coordinate analysis and OTU networks uncovered different aspects of the microbial community structure. For three cheese brands both biological replicates (cheeses from different lots) and technical replicates (replicate cheeses from the same lot) were analyzed. Repeatability was acceptable for OTUs appearing at frequencies >1%, but was low otherwise. A linear mixed model showed that the starter system was responsible for most differences related to dairies, while difference due to psychrotrophic contaminants was more related to lot-to-lot variability.
通过对16S rRNA基因进行焦磷酸测序,在冷藏储存结束时评估了用不同酸化方法制作的、以牛奶为原料的高水分马苏里拉奶酪的微生物群。根据酸化方法,奶酪被明显区分开来。添加发酵剂制作的奶酪以嗜热链球菌为主,但也有少量(0.01 - 1%)的各种乳酸菌和腐败微生物出现。直接添加柠檬酸制作的奶酪以多样化的微生物群为主,包括乳酸菌和嗜冷γ-变形菌。有五个品牌在标签上未声明酸化系统:其微生物群以嗜热乳酸菌(嗜热链球菌、德氏乳杆菌、瑞士乳杆菌)为主,但也存在各种其他次要的乳酸菌、嗜冷菌和肠杆菌科细菌,其多样性与直接添加酸制作的奶酪相当或更高。由此得出结论,这些奶酪酸化使用的是未明确的发酵剂。排序方法和网络分析都用于表示β-多样性:矩阵聚类分析、主坐标分析和OTU网络揭示了微生物群落结构的不同方面。对三个奶酪品牌同时分析了生物重复样本(来自不同批次的奶酪)和技术重复样本(来自同一批次的重复奶酪)。对于出现频率>1%的OTU,重复性是可接受的,但其他情况下重复性较低。线性混合模型表明,发酵剂系统是造成与乳制品厂相关的大多数差异的原因,而嗜冷污染物造成的差异更多与批次间的变异性有关。