Evidence map›Paper›PMID 29556107›Full record

ArticleNature microbiology2018

Nutritional preferences of human gut bacteria reveal their metabolic idiosyncrasies.

Melanie Tramontano, Sergej Andrejev, Mihaela Pruteanu, Martina Klünemann, Michael Kuhn, Marco Galardini, Paula Jouhten, Aleksej Zelezniak, Georg Zeller, Peer Bork and 2 more

Abstract read
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In one paragraph

Article in Nature microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
159citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

159 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. mSphere · 2026
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  14. Infection strategies ofGut microbes reports · 2026
    Review
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99 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Melanie TramontanoEuropean Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0001-6407-527X
Sergej AndrejevEuropean Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-7875-0261
Mihaela PruteanuEuropean Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0003-0484-8503
Martina KlünemannEuropean Molecular Biology Laboratory, Heidelberg, Germany.
Michael KuhnEuropean Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-2841-872X
Marco GalardiniEMBL-EBI, Wellcome Trust Genome Campus, Cambridge, United Kingdom.ORCID 0000-0003-2018-8242
Paula JouhtenEuropean Molecular Biology Laboratory, Heidelberg, Germany.
Aleksej ZelezniakEuropean Molecular Biology Laboratory, Heidelberg, Germany.
Georg ZellerEuropean Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0003-1429-7485
Peer BorkEuropean Molecular Biology Laboratory, Heidelberg, Germany. bork@embl.de.ORCID 0000-0002-2627-833X
Athanasios TypasEuropean Molecular Biology Laboratory, Heidelberg, Germany. typas@embl.de.ORCID 0000-0002-0797-9018
Kiran Raosaheb PatilEuropean Molecular Biology Laboratory, Heidelberg, Germany. patil@embl.de.ORCID 0000-0002-6166-8640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial metabolism plays a fundamental role in gut microbiota ecology and host-microbiome interactions. Yet the metabolic capabilities of most gut bacteria have remained unknown. Here we report growth characteristics of 96 phylogenetically diverse gut bacterial strains across 4 rich and 15 defined media. The vast majority of strains (76) grow in at least one defined medium, enabling accurate assessment of their biosynthetic capabilities. These do not necessarily match phylogenetic similarity, thus indicating a complex evolution of nutritional preferences. We identify mucin utilizers and species inhibited by amino acids and short-chain fatty acids. Our analysis also uncovers media for in vitro studies wherein growth capacity correlates well with in vivo abundance. Further value of the underlying resource is demonstrated by correcting pathway gaps in available genome-scale metabolic models of gut microorganisms. Together, the media resource and the extracted knowledge on growth abilities widen experimental and computational access to the gut microbiota.

Indexed as

Amino AcidsBacteriaCulture MediaFatty Acids, VolatileGastrointestinal MicrobiomeHumansMucinsAmino AcidsCulture MediaFatty Acids, VolatileMucins

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.