4.5 Article

Metabolic cooperation and spatiotemporal niche partitioning in a kefir microbial community

期刊

NATURE MICROBIOLOGY
卷 6, 期 2, 页码 196-+

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41564-020-00816-5

关键词

-

资金

  1. German Ministry of Education and Research (BMBF) [031A601B]
  2. Innovation Fund Denmark through the project Food Transcriptomics [6150-00033A]
  3. MRC [MC_UU_00025/11] Funding Source: UKRI

向作者/读者索取更多资源

This study explores how kefir achieves stable coexistence through spatial and temporal orchestration of species and metabolite dynamics. The kefir grains remain unchanged in composition during milk fermentation, while the milk is colonized in a sequential manner by different microorganisms.
Microbial communities often undergo intricate compositional changes yet also maintain stable coexistence of diverse species. The mechanisms underlying long-term coexistence remain unclear as system-wide studies have been largely limited to engineered communities, ex situ adapted cultures or synthetic assemblies. Here, we show how kefir, a natural milk-fermenting community of prokaryotes (predominantly lactic and acetic acid bacteria) and yeasts (family Saccharomycetaceae), realizes stable coexistence through spatiotemporal orchestration of species and metabolite dynamics. During milk fermentation, kefir grains (a polysaccharide matrix synthesized by kefir microorganisms) grow in mass but remain unchanged in composition. In contrast, the milk is colonized in a sequential manner in which early members open the niche for the followers by making available metabolites such as amino acids and lactate. Through metabolomics, transcriptomics and large-scale mapping of inter-species interactions, we show how microorganisms poorly suited for milk survive in-and even dominate-the community, through metabolic cooperation and uneven partitioning between grain and milk. Overall, our findings reveal how inter-species interactions partitioned in space and time lead to stable coexistence. Using kefir as a natural model microbial ecosystem, the authors apply metabolomics, transcriptomics and large-scale mapping of inter-species interactions to study the drivers of stable coexistence of species in space and time.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据