Literature DB >> 29393582

Substrate and electron donor limitation induce phenotypic heterogeneity in different metabolic activities in a green sulphur bacterium.

M Zimmermann1,2, S Escrig3, G Lavik4, M M M Kuypers4, A Meibom3,5, M Ackermann1,2, F Schreiber1,2,6.   

Abstract

Populations of genetically identical cells can display marked variation in phenotypic traits; such variation is termed phenotypic heterogeneity. Here, we investigate the effect of substrate and electron donor limitation on phenotypic heterogeneity in N2 and CO2 fixation in the green sulphur bacterium Chlorobium phaeobacteroides. We grew populations in chemostats and batch cultures and used stable isotope labelling combined with nanometer-scale secondary ion mass spectrometry (NanoSIMS) to quantify phenotypic heterogeneity. Experiments in H2 S (i.e. electron donor) limited chemostats show that varying levels of NH4+ limitation induce heterogeneity in N2 fixation. Comparison of phenotypic heterogeneity between chemostats and batch (unlimited for H2 S) populations indicates that electron donor limitation drives heterogeneity in N2 and CO2 fixation. Our results demonstrate that phenotypic heterogeneity in a certain metabolic activity can be driven by different modes of limitation and that heterogeneity can emerge in different metabolic processes upon the same mode of limitation. In conclusion, our data suggest that limitation is a general driver of phenotypic heterogeneity in microbial populations.
© 2018 Society for Applied Microbiology and John Wiley & Sons Ltd.

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Year:  2018        PMID: 29393582     DOI: 10.1111/1758-2229.12616

Source DB:  PubMed          Journal:  Environ Microbiol Rep        ISSN: 1758-2229            Impact factor:   3.541


  4 in total

1.  Light limitation increases multidimensional trait evenness in phytoplankton populations.

Authors:  Simone Fontana; Mridul K Thomas; Marta Reyes; Francesco Pomati
Journal:  ISME J       Date:  2019-01-07       Impact factor: 10.302

2.  Quantitation and Comparison of Phenotypic Heterogeneity Among Single Cells of Monoclonal Microbial Populations.

Authors:  Federica Calabrese; Iryna Voloshynovska; Florin Musat; Martin Thullner; Michael Schlömann; Hans H Richnow; Johannes Lambrecht; Susann Müller; Lukas Y Wick; Niculina Musat; Hryhoriy Stryhanyuk
Journal:  Front Microbiol       Date:  2019-12-20       Impact factor: 5.640

Review 3.  Microbial metabolic noise.

Authors:  Andreas E Vasdekis; Abhyudai Singh
Journal:  WIREs Mech Dis       Date:  2020-11-23

4.  Calculation of Single Cell Assimilation Rates From SIP-NanoSIMS-Derived Isotope Ratios: A Comprehensive Approach.

Authors:  Hryhoriy Stryhanyuk; Federica Calabrese; Steffen Kümmel; Florin Musat; Hans H Richnow; Niculina Musat
Journal:  Front Microbiol       Date:  2018-10-03       Impact factor: 5.640

  4 in total

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