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各种奶酪的微生物群落及奶酪核心区与外皮区的比较。

Microbial communities of a variety of cheeses and comparison between core and rind region of cheeses.

机构信息

Department of Food Science and Technology, Oregon State University, Corvallis 97331.

Department of Food Science and Technology, Advanced Food Safety Research Group, Brain Korea 21 Plus, Chung-Ang University, South Korea 06974.

出版信息

J Dairy Sci. 2020 May;103(5):4026-4042. doi: 10.3168/jds.2019-17455. Epub 2020 Mar 12.

Abstract

Understanding the microbial community of cheese is important in the dairy industry, as the microbiota contributes to the safety, quality, and physicochemical and sensory properties of cheese. In this study, the microbial compositions of different cheeses (Cheddar, provolone, and Swiss cheese) and cheese locations (core, rind, and mixed) collected from the Arbuthnot Dairy Center at Oregon State University were analyzed using 16S rRNA gene amplicon sequencing with the Illumina MiSeq platform (Illumina, San Diego, CA). A total of 225 operational taxonomic units were identified from the 4,675,187 sequencing reads generated. Streptococcus was observed to be the most abundant organism in provolone (72 to 85%) and Swiss (60 to 67%), whereas Lactococcus spp. were found to dominate Cheddar cheese (27 to 76%). Species richness varied significantly by cheese. According to alpha diversity analysis, porter-soaked Cheddar cheese exhibited the highest microbial richness, whereas smoked provolone cheese showed the lowest. Rind regions of each cheese changed color through smoking and soaking for the beverage process. In addition, the microbial diversity of the rind region was higher than the core region because smoking and soaking processes directly contacted the rind region of each cheese. The microbial communities of the samples clustered by cheese, indicated that, within a given type of cheese, microbial compositions were very similar. Moreover, 34 operational taxonomic units were identified as biomarkers for different types of cheese through the linear discriminant analysis effect size method. Last, both carbohydrate and AA metabolites comprised more than 40% of the total functional annotated genes from 9 varieties of cheese samples. This study provides insight into the microbial composition of different types of cheese, as well as various locations within a cheese, which is applicable to its safety and sensory quality.

摘要

了解奶酪中的微生物群落对于乳制品行业很重要,因为微生物群有助于奶酪的安全性、质量以及理化和感官特性。在这项研究中,使用 Illumina MiSeq 平台(Illumina,圣地亚哥,加利福尼亚州)对从俄勒冈州立大学的 Arbuthnot 乳品中心收集的不同奶酪(切达干酪、普罗卧干酪和瑞士奶酪)和奶酪位置(核心、外皮和混合)的 16S rRNA 基因扩增子进行了分析。从生成的 4675187 个测序读长中共鉴定出 225 个操作分类单元。在普罗卧干酪(72%至 85%)和瑞士奶酪(60%至 67%)中观察到链球菌是最丰富的生物体,而乳球菌属则在切达干酪中占主导地位(27%至 76%)。根据物种丰富度分析,波特酒浸泡的切达干酪表现出最高的微生物丰富度,而烟熏普罗卧干酪则显示出最低的微生物丰富度。为了饮料加工过程,每种奶酪的外皮区域都经历了烟熏和浸泡而改变了颜色。此外,由于烟熏和浸泡过程直接接触了每种奶酪的外皮区域,因此外皮区域的微生物多样性高于核心区域。样本的微生物群落按奶酪聚类,表明在给定类型的奶酪中,微生物组成非常相似。此外,通过线性判别分析效应大小方法,鉴定出 34 个操作分类单元作为不同类型奶酪的生物标志物。最后,碳水化合物和 AA 代谢物组成了来自 9 种奶酪样本的总功能注释基因的 40%以上。本研究深入了解了不同类型奶酪以及奶酪内部各个位置的微生物组成,这对其安全性和感官质量都有应用价值。

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