Evidence map›Paper›PMID 33657378›Full record

ArticleCell reports2021

Functional genetics of human gut commensal Bacteroides thetaiotaomicron reveals metabolic requirements for growth across environments.

Hualan Liu, Anthony L Shiver, Morgan N Price, Hans K Carlson, Valentine V Trotter, Yan Chen, Veronica Escalante, Jayashree Ray, Kelsey E Hern, Christopher J Petzold and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed
10.4field-weighted citation impact, top 1% of its field
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

85 citing papers in PubMed, 158 citations in OpenAlex.

  1. High-throughput analyses ofGut microbes · 2026
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  12. Identification and characterization of the functional LolB ortholog inbioRxiv : the preprint server for biology · 2026
    Article
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  16. An electron transport complex required in the gut sensitizesProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Article
  18. Article
  19. Lessons from the model gut BacteroidalesJournal of bacteriology · 2025
    Review
  20. Niche partitioning by resource size in the gut microbiome.bioRxiv : the preprint server for biology · 2025
    Article

25 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 1 country.

Hualan LiuEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Anthony L ShiverDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Morgan N PriceEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Hans K CarlsonEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Valentine V TrotterEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Yan ChenBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Veronica EscalanteDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA.
Jayashree RayEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Kelsey E HernDepartment of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA.
Christopher J PetzoldBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Peter J TurnbaughDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA.
Kerwyn Casey HuangDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA; Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Adam P ArkinEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.
Adam M DeutschbauerEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA. Electronic address: amdeutschbauer@lbl.gov.
Lawrence Berkeley National Laboratory · USUniversity of California, San Francisco · USChan Zuckerberg Initiative (United States) · USStanford University · USUniversity of California, Berkeley · US

Funding

A universal pipeline for functional characterization of the human microbiota at a massive scaleRM1GM135102 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BUIE, CULLEN RICHARD, DEUTSCHBAUER, ADAM M · 2020 to 2024
$7.6M
Predicting and preventing drug metabolism by the human gut microbiomeR01HL122593 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Peter James Turnbaugh · 2016 to 2026
$5.7M
Pacific Biosciences PacBio RS Single Molecule Real Time SequencerS10OD018174 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI ROKHSAR, DANIEL SOLEYMAN · 2014 to 2014
$600k
NHLBI NIH HHS R01 HL122593NIGMS NIH HHS RM1 GM135102NIH HHS S10 OD018174
6 · The paper itself

Abstract

Harnessing the microbiota for beneficial outcomes is limited by our poor understanding of the constituent bacteria, as the functions of most of their genes are unknown. Here, we measure the growth of a barcoded transposon mutant library of the gut commensal Bacteroides thetaiotaomicron on 48 carbon sources, in the presence of 56 stress-inducing compounds, and during mono-colonization of gnotobiotic mice. We identify 516 genes with a specific phenotype under only one or a few conditions, enabling informed predictions of gene function. For example, we identify a glycoside hydrolase important for growth on type I rhamnogalacturonan, a DUF4861 protein for glycosaminoglycan utilization, a 3-keto-glucoside hydrolase for disaccharide utilization, and a tripartite multidrug resistance system specifically for bile salt tolerance. Furthermore, we show that B. thetaiotaomicron uses alternative enzymes for synthesizing nitrogen-containing metabolic precursors based on ammonium availability and that these enzymes are used differentially in vivo in a diet-dependent manner.

Indexed as

DietAdaptation, PhysiologicalAmmonium CompoundsAnimalsAnti-Bacterial AgentsBacterial ProteinsBacteroides thetaiotaomicronBile Acids and SaltsDatabases, GeneticDisaccharidesDrug Resistance, BacterialEnergy MetabolismGastrointestinal MicrobiomeGene Expression Regulation, BacterialGlycoside HydrolasesHumansAmmonium CompoundsAnti-Bacterial AgentsBacterial ProteinsBile Acids and SaltsDisaccharidesGlycoside HydrolasesMembrane Transport ProteinsTripartite Motif ProteinsBacteroides thetaiotaomicronbile saltspolysaccharide utilizationrandom barcode transposon-site sequencing

Identifiers

PMID33657378
PMCPMC8121099
OpenAlexW3133800719

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.