Evidence map›Paper›PMID 39103350›Full record

ArticleNature communications2024

Barcoded overexpression screens in gut Bacteroidales identify genes with roles in carbon utilization and stress resistance.

Yolanda Y Huang, Morgan N Price, Allison Hung, Omree Gal-Oz, Surya Tripathi, Christopher W Smith, Davian Ho, Héloïse Carion, Adam M Deutschbauer, Adam P Arkin

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. High-throughput analyses ofGut microbes · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Article
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

10 authors.

Yolanda Y HuangEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. yyh@buffalo.edu.ORCID 0000-0003-1263-1515
Morgan N PriceEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID 0000-0002-4251-0362
Allison HungDepartment of Molecular and Cell Biology, University of California-Berkeley, Berkeley, CA, USA.ORCID 0000-0001-6790-4037
Omree Gal-OzEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Surya TripathiDepartment of Plant and Microbial Biology, University of California-Berkeley, Berkeley, CA, USA.
Christopher W SmithDepartment of Microbiology and Immunology, University at Buffalo, State University of New York, Buffalo, NY, USA.
Davian HoDepartment of Bioengineering, University of California-Berkeley, Berkeley, CA, USA.
Héloïse CarionDepartment of Bioengineering, University of California-Berkeley, Berkeley, CA, USA.
Adam M DeutschbauerEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID 0000-0003-2728-7622
Adam P ArkinEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. aparkin@lbl.gov.ORCID 0000-0002-4999-2931

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
Pacific Biosciences PacBio RS Single Molecule Real Time SequencerS10OD018174 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI ROKHSAR, DANIEL SOLEYMAN · 2014 to 2014
$600k
National Science Foundation (NSF) DGE-2146752NIGMS NIH HHS RM1 GM135102NIH HHS S10 OD018174U.S. Department of Energy (DOE) DE-AC02-05CH11231U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) GM135102
6 · The paper itself

Abstract

A mechanistic understanding of host-microbe interactions in the gut microbiome is hindered by poorly annotated bacterial genomes. While functional genomics can generate large gene-to-phenotype datasets to accelerate functional discovery, their applications to study gut anaerobes have been limited. For instance, most gain-of-function screens of gut-derived genes have been performed in Escherichia coli and assayed in a small number of conditions. To address these challenges, we develop Barcoded Overexpression BActerial shotgun library sequencing (Boba-seq). We demonstrate the power of this approach by assaying genes from diverse gut Bacteroidales overexpressed in Bacteroides thetaiotaomicron. From hundreds of experiments, we identify new functions and phenotypes for 29 genes important for carbohydrate metabolism or tolerance to antibiotics or bile salts. Highlights include the discovery of a D-glucosamine kinase, a raffinose transporter, and several routes that increase tolerance to ceftriaxone and bile salts through lipid biosynthesis. This approach can be readily applied to develop screens in other strains and additional phenotypic assays.

Indexed as

Bile Acids and SaltsCarbonGastrointestinal MicrobiomeAnti-Bacterial AgentsBacterial ProteinsBacteroides thetaiotaomicronBacteroidetesCarbohydrate MetabolismEscherichia coliGene Expression Regulation, BacterialGenes, BacterialGenome, BacterialHumansStress, PhysiologicalAnti-Bacterial AgentsBacterial ProteinsBile Acids and SaltsCarbon

Identifiers

PMID39103350
PMCPMC11300592

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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.