Evidence map›Paper›PMID 40621919›Full record

ArticleMicrobiology spectrum2025

Using phenotyping to visualize and identify selfish bacteria: a methods guide.

G Reintjes, G Giljan, B M Fuchs, C Arnosti, R Amann

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

G Reintjes *Department of Molecular Ecology, Max Planck Institute for Marine Microbiology, Bremen, Germany.ORCID 0000-0001-7085-4683
G Giljan *Department of Molecular Ecology, Max Planck Institute for Marine Microbiology, Bremen, Germany.
B M FuchsDepartment of Molecular Ecology, Max Planck Institute for Marine Microbiology, Bremen, Germany.ORCID 0000-0001-9828-1290
C ArnostiDepartment of Earth, Marine, and Environmental Sciences, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-6074-5341
R AmannDepartment of Molecular Ecology, Max Planck Institute for Marine Microbiology, Bremen, Germany.

Funding

Deutsche Forschungsgemeinschaft 496342779Horizon 2020 Framework Programme 840804Max-Planck-GesellschaftNational Science Foundation OCE-1736772National Science Foundation OCE-2022952
6 · The paper itself

Abstract

Polysaccharides are dominant components of plant and algal biomass, whose degradation is typically mediated by heterotrophic bacteria. These bacteria use extracellular enzymes to hydrolyze polysaccharides to oligosaccharides that are then also available to other bacteria. Recently, a new mechanism of polysaccharide processing-"selfish" uptake-has been recognized, initially among gut-derived bacteria. In "selfish" uptake, polysaccharides are bound at the outer membrane, partially hydrolyzed, and transported into the periplasmic space without loss of hydrolysis products, thus limiting the availability of smaller sugars to the surrounding environment. Selfish uptake is widespread in environments ranging from the ocean's cool, oxygen-rich, organic carbon-poor waters to the warm, carbon-rich, anoxic environment of the human gut. In this methods paper, we present a detailed guide to identifying selfish bacteria, including techniques for rapidly visualizing selfish uptake in complex bacterial communities, detecting selfish organisms, and distinguishing their activity from that of other community members.IMPORTANCEUnderstanding the role of heterotrophic bacteria in the degradation of organic matter is critical for comprehending carbon cycling and microbial ecology across different environments. This study highlights the significant prevalence of "selfish uptake" among bacteria-often overlooked by standard microbial activity assessments-and presents the method used to quantify and identify these "selfish" bacteria. Found in diverse habitats such as anoxic gut environments, oxygenated waters, sediments, and soils, their widespread presence underscores the necessity of revisiting current methodologies to include these crucial organisms. By identifying and studying selfish bacteria, we can gain detailed insights into how microbial communities function, how carbon flows through ecosystems, and how these processes impact global biogeochemical cycles.

Indexed as

BacteriaPolysaccharidesHumansPhenotypePolysaccharidesbacterial community functioncarbon cyclingenzymatic hydrolysisflow sortingpolysaccharide degradationselfish uptake

Identifiers

PMID40621919
PMCPMC12323593

What OpenQuestion 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 OpenQuestion graph.