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一项对“风土”奶酪和牛奶微生物群的全面、大规模分析表明,其微生物特征受到地理和人为因素的强烈影响。

A comprehensive, large-scale analysis of "terroir" cheese and milk microbiota reveals profiles strongly shaped by both geographical and human factors.

作者信息

Irlinger Françoise, Mariadassou Mahendra, Dugat-Bony Eric, Rué Olivier, Neuvéglise Cécile, Renault Pierre, Rifa Etienne, Theil Sébastien, Loux Valentin, Cruaud Corinne, Gavory Frederick, Barbe Valérie, Lasbleiz Ronan, Gaucheron Frédéric, Spelle Céline, Delbès Céline

机构信息

Université Paris Saclay, INRAE, AgroParisTech, UMR SayFood, 91120 Palaiseau, France.

Université Paris-Saclay, INRAE, MaIAGE, 78350, Jouy-en-Josas, France.

出版信息

ISME Commun. 2024 Jul 11;4(1):ycae095. doi: 10.1093/ismeco/ycae095. eCollection 2024 Jan.

DOI:10.1093/ismeco/ycae095
PMID:39109360
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11301721/
Abstract

An exhaustive analysis was performed on more than 2000 microbiotas from French Protected Designation of Origin (PDO) cheeses, covering most cheese families produced throughout the world. Thanks to a complete and accurate set of associated metadata, we have carried out a deep analysis of the ecological drivers of microbial communities in milk and "terroir" cheeses. We show that bacterial and fungal microbiota from milk differed significantly across dairy species while sharing a core microbiome consisting of four microbial species. By contrast, no microbial species were detected in all ripened cheese samples. Our network analysis suggested that the cheese microbiota was organized into independent network modules. These network modules comprised mainly species with an overall relative abundance lower than 1%, showing that the most abundant species were not those with the most interactions. Species assemblages differed depending on human drivers, dairy species, and geographical area, thus demonstrating the contribution of regional know-how to shaping the cheese microbiota. Finally, an extensive analysis at the milk-to-cheese batch level showed that a high proportion of cheese taxa were derived from milk under the influence of the dairy species and protected designation of origin.

摘要

对来自法国原产地保护(PDO)奶酪的2000多种微生物群进行了详尽分析,涵盖了全球生产的大多数奶酪种类。借助一套完整且准确的相关元数据,我们对牛奶和“风土”奶酪中微生物群落的生态驱动因素进行了深入分析。我们发现,不同乳制品种类的牛奶中细菌和真菌微生物群存在显著差异,同时共享一个由四种微生物组成的核心微生物组。相比之下,在所有成熟奶酪样本中均未检测到相同的微生物种类。我们的网络分析表明,奶酪微生物群被组织成独立的网络模块。这些网络模块主要由总体相对丰度低于1%的物种组成,这表明丰度最高的物种并非相互作用最多的物种。物种组合因人为因素、乳制品种类和地理区域而异,从而证明了地方传统工艺对塑造奶酪微生物群的贡献。最后,在牛奶到奶酪批次层面的广泛分析表明,在乳制品种类和原产地保护的影响下,很大一部分奶酪分类群源自牛奶。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8db/11301721/e118e788e8af/ycae095f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8db/11301721/54e7f3914b50/ycae095f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8db/11301721/3fe7d30a7083/ycae095f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8db/11301721/12eece44f052/ycae095f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8db/11301721/937923e9914c/ycae095f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8db/11301721/2257d2e1bc43/ycae095f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8db/11301721/565a3780ce96/ycae095f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8db/11301721/e118e788e8af/ycae095f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8db/11301721/54e7f3914b50/ycae095f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8db/11301721/3fe7d30a7083/ycae095f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8db/11301721/12eece44f052/ycae095f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8db/11301721/937923e9914c/ycae095f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8db/11301721/2257d2e1bc43/ycae095f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8db/11301721/565a3780ce96/ycae095f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8db/11301721/e118e788e8af/ycae095f7.jpg

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