Evidence map›Paper›PMID 38442124›Full record

ArticlePLoS biology2024

An engineered bacterial symbiont allows noninvasive biosensing of the honey bee gut environment.

Audam Chhun, Silvia Moriano-Gutierrez, Florian Zoppi, Amélie Cabirol, Philipp Engel, Yolanda Schaerli

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Audam ChhunDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.
Silvia Moriano-GutierrezDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.
Florian ZoppiDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.
Amélie CabirolDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.
Philipp EngelDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.
Yolanda SchaerliDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-9083-7343
University of Lausanne · CH

Funding

Marie Skłodowska-Curie fellowship HarmHoneyNCCR Microbiomes (National Centre of Competence in Research)University of Lausanne
6 · The paper itself

Abstract

The honey bee is a powerful model system to probe host-gut microbiota interactions, and an important pollinator species for natural ecosystems and for agriculture. While bacterial biosensors can provide critical insight into the complex interplay occurring between a host and its associated microbiota, the lack of methods to noninvasively sample the gut content, and the limited genetic tools to engineer symbionts, have so far hindered their development in honey bees. Here, we built a versatile molecular tool kit to genetically modify symbionts and reported for the first time in the honey bee a technique to sample their feces. We reprogrammed the native bee gut bacterium Snodgrassella alvi as a biosensor for IPTG, with engineered cells that stably colonize the gut of honey bees and report exposure to the molecules in a dose-dependent manner through the expression of a fluorescent protein. We showed that fluorescence readout can be measured in the gut tissues or noninvasively in the feces. These tools and techniques will enable rapid building of engineered bacteria to answer fundamental questions in host-gut microbiota research.

Indexed as

BacteriaMicrobiotaAgricultureAnimalsBeesFecesFluorescence

Identifiers

PMID38442124
PMCPMC10914260
OpenAlexW4392451935

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.