对 "风土 "奶酪和牛奶微生物群的全面、大规模分析表明,奶酪和牛奶微生物群的特征深受地理和人为因素的影响

IF 5.1 Q1 ECOLOGY ISME communications Pub Date : 2024-07-11 DOI:10.1093/ismeco/ycae095
Françoise Irlinger, M. Mariadassou, Eric Dugat-Bony, Olivier Rué, Cécile Neuvéglise, Pierre Renault, Etienne Rifa, S. Theil, Valentin Loux, Corinne Cruaud, Frederick Gavory, Valérie Barbe, Ronan Lasbleiz, Frédéric Gaucheron, Céline Spelle, C. Delbès
{"title":"对 \"风土 \"奶酪和牛奶微生物群的全面、大规模分析表明,奶酪和牛奶微生物群的特征深受地理和人为因素的影响","authors":"Françoise Irlinger, M. Mariadassou, Eric Dugat-Bony, Olivier Rué, Cécile Neuvéglise, Pierre Renault, Etienne Rifa, S. Theil, Valentin Loux, Corinne Cruaud, Frederick Gavory, Valérie Barbe, Ronan Lasbleiz, Frédéric Gaucheron, Céline Spelle, C. Delbès","doi":"10.1093/ismeco/ycae095","DOIUrl":null,"url":null,"abstract":"\n 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 was 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 PDO.","PeriodicalId":73516,"journal":{"name":"ISME communications","volume":null,"pages":null},"PeriodicalIF":5.1000,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A comprehensive, large-scale analysis of “terroir” cheese and milk microbiota reveals profiles strongly shaped by both geographical and human factors\",\"authors\":\"Françoise Irlinger, M. Mariadassou, Eric Dugat-Bony, Olivier Rué, Cécile Neuvéglise, Pierre Renault, Etienne Rifa, S. Theil, Valentin Loux, Corinne Cruaud, Frederick Gavory, Valérie Barbe, Ronan Lasbleiz, Frédéric Gaucheron, Céline Spelle, C. Delbès\",\"doi\":\"10.1093/ismeco/ycae095\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n 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 was 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 PDO.\",\"PeriodicalId\":73516,\"journal\":{\"name\":\"ISME communications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2024-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISME communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/ismeco/ycae095\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISME communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/ismeco/ycae095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

我们对来自法国原产地命名保护奶酪(PDO)的 2000 多个微生物群进行了详尽的分析,这些奶酪涵盖了全世界生产的大多数奶酪系列。借助一套完整而准确的相关元数据,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。我们的研究表明,牛奶中的细菌和真菌微生物群在不同乳制品种类之间存在显著差异,但却共享一个由四种微生物组成的核心微生物群。相比之下,在所有成熟的奶酪样本中都没有检测到微生物物种。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不是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的不同而各异,从而证明了地区性技术诀窍对奶酪微生物群形成的贡献。最后,从牛奶到奶酪批次的广泛分析表明,在乳制品种类和 PDO 的影响下,很大比例的奶酪类群来自牛奶。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A comprehensive, large-scale analysis of “terroir” cheese and milk microbiota reveals profiles strongly shaped by both geographical and human factors
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 was 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 PDO.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Metagenomic insights into inhibition of soil microbial carbon metabolism by phosphorus limitation during vegetation succession. Introduction into natural environments shifts the gut microbiome of captivity-raised filter-feeding bivalves. Metagenomic and -transcriptomic analyses of microbial nitrogen transformation potential, and gene expression in Swiss lake sediments. Biological and experimental factors that define the effectiveness of microbial inoculation on plant traits: a meta-analysis. Rhizospheric miRNAs affect the plant microbiota.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1