School of Science, RMIT University, Bundoora, Victoria, Australia.
School of Health and Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia.
Crit Rev Food Sci Nutr. 2020;60(1):33-47. doi: 10.1080/10408398.2018.1512471. Epub 2018 Oct 4.
Cheese is a fermented dairy product, harboring diverse microbial communities (microbiota) that change over time and vary depending on the type of cheese and their respective starter and adjunct cultures. These microorganisms play a crucial role in determining the flavor, quality and safety of the final product. Exploring the composition of cheese microbiota and the underlying molecular mechanisms involved in cheese ripening has been the subject of many studies. Recent advances in next generation sequencing (NGS) methods and the development of sophisticated bioinformatics tools have provided deeper insights into the composition and potential functionality of cheese microbiota far beyond the information provided by culture-dependent methods. These advances, which include rRNA gene amplicon sequencing and metagenomics, have been complemented and expanded in recent years by the application of metatranscriptomics, metaproteomics and metabolomics. This paper reviews studies in which application of these meta-omics technologies has led to a better understanding of the microbial composition and functionality of cheese and highlights opportunities by which the integration of outputs from diverse multi-omics analytical platforms (cheesomics) could be used in the future to advance our knowledge of the cheese ripening process and identify biomarkers for predicting cheese flavor, quality, texture and safety, and bioactive metabolites with potential to influence human health.
奶酪是一种发酵乳制品,含有多样化的微生物群落(微生物组),这些微生物群落随着时间的推移而变化,并且因奶酪的类型及其各自的起始和辅助培养物而异。这些微生物在决定最终产品的风味、质量和安全性方面起着至关重要的作用。探索奶酪微生物组的组成以及奶酪成熟过程中涉及的潜在分子机制一直是许多研究的主题。下一代测序(NGS)方法的最新进展和复杂生物信息学工具的发展,为奶酪微生物组的组成和潜在功能提供了比基于培养的方法更深入的见解。这些进展包括 rRNA 基因扩增子测序和宏基因组学,近年来通过应用宏转录组学、宏蛋白质组学和代谢组学得到了补充和扩展。本文综述了应用这些元组学技术的研究,这些研究使我们对奶酪微生物组成和功能有了更好的理解,并强调了通过整合来自不同多组学分析平台(奶酪组学)的输出,未来如何用于推进我们对奶酪成熟过程的认识,并确定用于预测奶酪风味、质量、质地和安全性的生物标志物,以及具有影响人类健康潜力的生物活性代谢物。