Metabolic cooperation and spatiotemporal niche partitioning in a kefir microbial community; Kefir fermentation curve (FIA-MS)
Ontology highlight
ABSTRACT: 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 and yeasts, realises stable coexistence through spatiotemporal orchestration of species and metabolite dynamics. During milk fermentation, kefir grains (a polysaccharide matrix synthesized by kefir microbes) grow in mass but remain unchanged in composition. In contrast, the milk is colonized in a sequential manner in which early members open metabolic niches for followers. Through metabolomics and large-scale mapping of inter-species interactions, we show how microbes 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. Linked metabolomics studies: MTBLS1823 Spent-medium assay, measured untargeted (FIA-qTOF) and targeted (HILIC, LC-MS) MTBLS1830 Interaction between the kefir isolates Lactococcus lactis and Acetobacter fabarum (GC-MS) Linked cross omic data sets: Genomes of isolated kefir species are available in the NCBI database under the accession: PRJNA375758 (bioproject ID: 375758). Metatranscriptomic sequencing data associated with this study are available in the European Nucleotide Archive (ENA): accession number PRJEB37001. Genome-scale metabolic models for kefir bacteria can be found at github.com/cdanielmachado/kefir_models.
INSTRUMENT(S): Flow injection analysis MS - negative
SUBMITTER: Eleni Kafkia Sonja Blasche Ruben Mars
PROVIDER: MTBLS1829 | MetaboLights | 2020-11-04
REPOSITORIES: MetaboLights
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| MTBLS1829 | Other | |||
| FILES | Other | |||
| a_MTBLS1829_FIA-MS_negative__metabolite_profiling.txt | Txt | |||
| i_Investigation.txt | Txt | |||
| m_MTBLS1829_FIA-MS_negative__metabolite_profiling_v2_maf.tsv | Tabular |
Items per page: 5 1 - 5 of 6 |
Similar Datasets
Project description:<p>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 and yeasts, realises stable coexistence through spatiotemporal orchestration of species and metabolite dynamics. During milk fermentation, kefir grains (a polysaccharide matrix synthesized by kefir microbes) grow in mass but remain unchanged in composition. In contrast, the milk is colonized in a sequential manner in which early members open metabolic niches for followers. Through metabolomics and large-scale mapping of inter-species interactions, we show how microbes 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.</p><p><br></p><p><strong>Linked metabolomics studies:</strong></p><p><a href='https://www.ebi.ac.uk/metabolights/MTBLS1829' rel='noopener noreferrer' target='_blank'>MTBLS1829</a> Kefir fermentation curve (FIA-MS)</p><p><a href='https://www.ebi.ac.uk/metabolights/MTBLS1830' rel='noopener noreferrer' target='_blank'>MTBLS1830</a> Interaction between the kefir isolates Lactococcus lactis and Acetobacter fabarum (GC-MS)</p><p><br></p><p><strong>Linked cross omic data:</strong></p><p>Genomes of isolated kefir species are available in the <a href='https://www.ncbi.nlm.nih.gov/' rel='noopener noreferrer' target='_blank'>NCBI database</a> under the accession: PRJNA375758 (bioproject ID: 375758).</p><p>Metatranscriptomic sequencing reads can be accessed from <a href='www.ebi.ac.uk/ena' rel='noopener noreferrer' target='_blank'>ENA</a> under the project id PRJEB37001.</p><p>Genome-scale metabolic models for kefir bacteria can be found at github.com/cdanielmachado/kefir_models.</p>
2020-11-04 | MTBLS1823 | MetaboLights
Project description:<p>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 and yeasts, realizes stable coexistence through spatiotemporal orchestration of species and metabolite dynamics. During milk fermentation, kefir grains (a polysaccharide matrix synthesized by kefir microbes) grow in mass but remain unchanged in composition. In contrast, the milk is colonized in a sequential manner in which early members open metabolic niches for followers. Through metabolomics and large-scale mapping of inter-species interactions, we show how microbes 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.</p><p><br></p><p><strong>Linked metabolomics studies:</strong></p><p><a href='https://www.ebi.ac.uk/metabolights/MTBLS1823' rel='noopener noreferrer' target='_blank'>MTBLS1823</a> Spent-medium assay, measured untargeted (FIA-qTOF) and targeted (HILIC, LC-MS)</p><p><a href='https://www.ebi.ac.uk/metabolights/MTBLS1829' rel='noopener noreferrer' target='_blank'>MTBLS1829</a> Kefir fermentation curve (FIA-MS)</p><p><br></p><p><strong>Linked cross omic data:</strong></p><p>Genomes of isolated kefir species are available in the <a href='https://www.ncbi.nlm.nih.gov/' rel='noopener noreferrer' target='_blank'>NCBI database</a> under the accession: PRJNA375758 (bioproject ID: 375758).</p><p>Metatranscriptomic sequencing reads can be accessed from <a href='https://www.ebi.ac.uk/metabolights/editor/www.ebi.ac.uk/ena' rel='noopener noreferrer' target='_blank'>ENA</a> under the project id PRJEB37001.</p><p>Genome-scale metabolic models for kefir bacteria can be found at github.com/cdanielmachado/kefir_models.</p>
2020-11-04 | MTBLS1830 | MetaboLights
Project description:<p>Here we present LipidCreator, a software that fully supports targeted lipidomics assay development. LipidCreator offers a comprehensive framework to compute MS/MS fragment masses for over 60 lipid classes. LipidCreator provides all functionalities needed to define fragments, manage stable isotope labeling, optimize collision energy and generate in silico spectral libraries. We validate LipidCreator assays computationally and analytically and prove that it is capable to generate large targeted experiments to analyze blood and to dissect lipid-signaling pathways such as in human platelets.</p><p><br></p><p>In MTBLS1333, 58 lipid mediator standards were used to study the lipid fragmentation, build optimal collision energy models, create in-silico spectral libraries and spike-in as internal standards. They were purchased from Cayman Chemical (Ann Arbor, Michigan, USA). Lipid fragment masses of mediators were validated with the Metlin database (https://metlin.scripps.edu/).</p><p><br></p><p>Studies linked to this manuscript include;</p><p><a href='https://www.ebi.ac.uk/metabolights/mtbls1333' rel='noopener noreferrer' target='_blank'>MTBLS1333; LipidCreator: Collision Energy Optimization and Fragment Intensity Prediction for Lipid Mediators - Thermo QExactive HF</a></p><p><a href='https://www.ebi.ac.uk/metabolights/mtbls1334' rel='noopener noreferrer' target='_blank'>MTBLS1334; LipidCreator: Collision Energy Optimization and Fragment Intensity Prediction for Lipid Mediators - Agilent QTof</a></p><p><a href='https://www.ebi.ac.uk/metabolights/mtbls1369' rel='noopener noreferrer' target='_blank'>MTBLS1369; LipidCreator: Platelet isolation and stimulation - Targeted Phospho- and Glycerolipid Profiling</a></p><p><a href='https://www.ebi.ac.uk/metabolights/mtbls1375' rel='noopener noreferrer' target='_blank'>MTBLS1375; LipidCreator: Targeted lipidomics analysis of Human Plasma samples and comparison with NIST SRM 1950 standard</a></p><p><a href='https://www.ebi.ac.uk/metabolights/mtbls1376' rel='noopener noreferrer' target='_blank'>MTBLS1376; LipidCreator: Targeted lipidomics analysis of S. cerevisiae to determine true and false identification</a></p><p><a href='https://www.ebi.ac.uk/metabolights/mtbls1381' rel='noopener noreferrer' target='_blank'>MTBLS1381; LipidCreator: Platelet isolation and stimulation - Targeted Lipid Mediator Profiling</a></p><p><a href='https://www.ebi.ac.uk/metabolights/mtbls1382' rel='noopener noreferrer' target='_blank'>MTBLS1382; LipidCreator: Platelet isolation and stimulation - DIA Lipid Mediator Validation</a></p>
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2020-07-14 | MSV000085747 | GNPS
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2020-06-26 | MSV000085632 | GNPS
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