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Updated: Jun 4, 2026

Fluorescently Labeled Bacteria as a Tracer to Reveal Novel Pathways of Organic Carbon Flow in Aquatic Ecosystems
Published on: September 13, 2019
Kinetics of carbon sharing in a bacterial consortium revealed by combining stable isotope probing with
S Pawelczyk1, D Bumann, W-R Abraham
1Helmholtz Center for Infection Research, Chemical Microbiology, Braunschweig, Germany.
Aims:
To determine the kinetics of substrate fluxes in a microbial community in order to elucidate the roles of the community members.
Methods And Results:
The kinetics of substrate sharing in a bacterial consortium were measured by a new analytical approach combining immunostaining, stable isotope probing and fluorescence-activated cell sorting (FACS). The bacterial consortium, consisting of four strains and growing on 4-chlorosalicylate (4-CS), was pulse-dosed with the degradation intermediate [U-(13) C]-4-chlorocatechol (4-CC). Cells were stained with strain-specific antibodies sorted by FACS and the (13) C-incorporation into fatty acids of the two most abundant members of the community was determined by isotope ratio mass spectrometry. From the two most abundant strains, the primary degrader Pseudomonas reinekei MT1 incorporated the labelled substrate faster than strain Achromobacter spanius MT3 but the maximal incorporation in strain MT3 was almost three times higher than in MT1.
Conclusions:
It has been reported that strain MT1 produces 4-CC as an intermediate but has a lower LD50 for it than strain MT3; therefore, MT3 still degrades 4-CC when the concentrations of 4-CC are already too toxic, even lethal, for MT1. By degrading 4-CC, produced by MT1, MT3 protects the entire community against this toxin. The higher affinity but lower tolerance of strain MT1 for 4-chlorocatechol compared to strain MT3 explains the complementary function these two strains have in the consortium adding exceptional stability to the entire community.
Significance And Impact Of The Study:
The novel approach can reveal carbon fluxes in microbial communities generating quantitative data for systems biology of the microbial community.

