Evidence map›Paper›PMID 42748177›Full record

ArticlePLoS biology2026

An engineered bacterial symbiont maps micron-scale sugar gradients in the honeybee gut.

Audam Chhun, Andrew Quinn, Alicia I Pérez-Lorente, Théodora Steiner, Florian Zoppi, Thi Huong Giang Nguyen, Philipp Engel, Yolanda Schaerli

Abstract read
In one paragraph

Article in PLoS biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Audam ChhunDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-5845-2769
Andrew QuinnDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.
Alicia I Pérez-LorenteDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-9625-8203
Théodora SteinerDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.
Florian ZoppiDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.
Thi Huong Giang NguyenDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.
Philipp EngelDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-4678-6200
Yolanda SchaerliDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-9083-7343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The honeybee gut microbiota plays a key role in shaping host health and susceptibility to disease. Yet, the nutrient environment it experiences within the gut remains poorly characterized. In particular, little is known about the spatial distribution of nutrients across the microbial community, as resolving such fine gradients in vivo has been technically challenging. Here, we engineer the native honeybee symbiont Snodgrassella alvi as a living biosensor to quantify the bioavailability of the dietary sugar arabinose within the gut. By expanding the genetic toolkit for S. alvi through chromosomal integration of high-burden genes and a suite of low-strength promoters, we achieve stable multi-gene expression without compromising host colonization. The resulting biosensor generates a specific, dose-dependent fluorescent response to arabinose in the living host, enabling visualization of sugar gradients across gut-associated bacterial biofilms at micron-scale resolution. Upon co-colonization with distinct Gilliamella species that differ in arabinose metabolism, the biosensor reported differential in vivo arabinose consumption, directly validating species-specific metabolic specialization within the host. Feeding bees with pollen further uncovered pronounced radial heterogeneity in the distribution of pollen-derived arabinose. These findings demonstrate how diet composition and microbial specialization generate fine-scale microenvironments within the gut. More broadly, this work establishes S. alvi as a genetically tractable platform for in situ biosensing, opening new avenues for dissecting metabolic interactions and nutrient distribution within living hosts.

Indexed as

ArabinoseGastrointestinal MicrobiomeHalomonadaceaeSymbiosisAnimalsBeesBiofilmsBiosensing TechniquesGastrointestinal TractArabinose

Identifiers

PMID42748177
PMCPMC13608000

What OpenQuestion holds

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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.