Metabolic history and metabolic fitness as drivers of anabolic heterogeneity in isogenic microbial populations

Microbial populations often display different degrees of heterogeneity in their substrate assimilation, that is, anabolic heterogeneity. It has been shown that nutrient limitations are a relevant trigger for this behaviour. Here we explore the dynamics of anabolic heterogeneity under nutrient replete conditions. We applied time-resolved stable isotope probing and nanoscale secondary ion mass spectrometry to quantify substrate assimilation by individual cells of Pseudomonas putida, P. stutzeri and Thauera aromatica. Acetate and benzoate at different concentrations were used as substrates. Anabolic heterogeneity was quantified by the cumulative differentiation tendency index. We observed two major, opposing trends of anabolic heterogeneity over time. Most often, microbial populations started as highly heterogeneous, with heterogeneity decreasing by various degrees over time. The second, less frequently observed trend, saw microbial populations starting at low or very low heterogeneity, and remaining largely stable over time. We explain these trends as an interplay of metabolic history (e.g. former growth substrate or other nutrient limitations) and metabolic fitness (i.e. the fine-tuning of metabolic pathways to process a defined growth substrate). Our results offer a new viewpoint on the intra-population functional diversification often encountered in the environment, and suggests that some microbial populations may be intrinsically heterogeneous.     

Tracing the slow growth of anaerobic methane-oxidizing communities by (15)N-labelling techniques

The anaerobic oxidation of methane (AOM) is an important methane sink in marine ecosystems mediated by still uncultured Archaea. We established an experimental system to grow AOM communities in different sediment samples. Approaches to show growth of the slow-growing anaerobic methanotrophs have been either via nucleic acids (quantitative PCR) or required long-term incubations. Previous long-term experiments with (13)C-labelled methane led to an unspecific distribution of the (13)C-label. Although quantitative PCR is a sensitive technique to detect small changes in community composition, it does not determine growth yield. Therefore, we tested an alternative method to detect a biomass increase of AOM microorganisms with (15)N-labelled ammonium as N-source. After only 3 weeks, significant (15)N-labelling became apparent in amino acids as major structural units of microbial proteins. This was especially evident in methane-containing incubations, showing the methane-dependent uptake of the (15)N-labelled ammonium by microorganisms. Cell counts demonstrated a two- and fourfold increase at ambient or elevated methane concentrations. With denaturing gradient gel electrophoresis, over 6 months incubation no changes in community composition of sulphate-reducing bacteria and archaea were detected. These data indicate doubling times for AOM microorganisms between 2 and 3.4 months. In conclusion, the (15)N-labelling approach proved to be a sensitive and fast way to show growth of extremely slow-growing microorganisms.     

The effect of FISH and CARD-FISH on the isotopic composition of C- and N-labeled Pseudomonas putida cells measured by nanoSIMS

The use of nanoSIMS for the exploration of microbial activities in natural habitats often implies that stable isotope tracer experiments are combined with in situ hybridization techniques (i.e. fluorescence in situ hybridization (FISH) or catalyzed reporter deposition (CARD)-FISH). In this study, Pseudomonas putida grown on ¹³C- and ¹⁵N-labeled carbon and nitrogen, collected in exponential growth and stationary phases, was hybridized and analyzed by nanoSIMS. It was shown that ¹³C and ¹⁵N fractions decreased after FISH and CARD-FISH in comparison to chemically untreated cells. However, the fractions were influenced differently by various treatments. After paraformaldehyde fixation of exponentially growing cells, a reduction of the ¹³C and ¹⁵N fractions was measured from 94 ± 1.2% and 89.5 ± 3.8% to 90.2 ± 0.8% and 64 ± 4.6%, respectively, indicating that nitrogen isotopic composition was most influenced. A further decrease of the ¹³C and ¹⁵N fractions to 80.7 ± 6.5 and 59.5 ± 4.1%, respectively, was measured after FISH, while CARD-FISH decreased the fractions to 57.4 ± 3.0% and 47.1 ± 4.1%, respectively. The analysis of cells collected in different growth phases revealed that the effect of various treatments seemed to be dependent on the cell's physiological state. In addition, a mathematical model that can be used in further studies was developed in order to calculate the amount of carbon introduced into the cells by chemical treatments. These results can be valuable for environmental FISH-nanoSIMS studies where the isotopic composition of single cells will be used to quantitatively assess the importance of specific populations to certain biochemical processes and determine budget estimations.