INRA, UMR 782 Génie et Microbiologie des Procédés Alimentaires, F-78850, Thiverval-Grignon, France; AgroParisTech, UMR 782 Génie et microbiologie des procédés alimentaires, F-78850, Thiverval-Grignon, France.
AgroParisTech, UMR 518 Mathématiques et Informatiques Appliquées, F-75231, Paris, France; INRA, UMR 518 Mathématiques et Informatiques Appliquées, F-75231, Paris, France.
PLoS One. 2015 Apr 13;10(4):e0124360. doi: 10.1371/journal.pone.0124360. eCollection 2015.
Cheese ripening is a complex biochemical process driven by microbial communities composed of both eukaryotes and prokaryotes. Surface-ripened cheeses are widely consumed all over the world and are appreciated for their characteristic flavor. Microbial community composition has been studied for a long time on surface-ripened cheeses, but only limited knowledge has been acquired about its in situ metabolic activities. We applied metagenomic, metatranscriptomic and biochemical analyses to an experimental surface-ripened cheese composed of nine microbial species during four weeks of ripening. By combining all of the data, we were able to obtain an overview of the cheese maturation process and to better understand the metabolic activities of the different community members and their possible interactions. Furthermore, differential expression analysis was used to select a set of biomarker genes, providing a valuable tool that can be used to monitor the cheese-making process.
干酪成熟是一个由真核生物和原核生物组成的微生物群落驱动的复杂生化过程。表面成熟奶酪在世界各地广泛消费,并因其独特的风味而受到赞赏。很长一段时间以来,人们一直在研究表面成熟奶酪中的微生物群落组成,但对其原位代谢活性的了解却很有限。我们应用宏基因组学、宏转录组学和生物化学分析方法,对由 9 种微生物组成的实验性表面成熟奶酪进行了为期 4 周的成熟过程研究。通过综合所有数据,我们能够全面了解奶酪成熟过程,并更好地了解不同群落成员的代谢活性及其可能的相互作用。此外,差异表达分析用于选择一组生物标志物基因,为监测奶酪制作过程提供了有价值的工具。