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Phenotypic heterogeneity in metabolic traits among single cells of a rare bacterial species in its natural environment quantified with a combination of flow cell sorting and NanoSIMS

Populations of genetically identical microorganisms residing in the same environment can display marked variability in their phenotypic traits; this phenomenon is termed phenotypic heterogeneity. The relevance of such heterogeneity in natural habitats is unknown, because phenotypic characterization...

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Autores principales: Zimmermann, Matthias, Escrig, Stéphane, Hübschmann, Thomas, Kirf, Mathias K., Brand, Andreas, Inglis, R. Fredrik, Musat, Niculina, Müller, Susann, Meibom, Anders, Ackermann, Martin, Schreiber, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4399338/
https://www.ncbi.nlm.nih.gov/pubmed/25932020
http://dx.doi.org/10.3389/fmicb.2015.00243
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author Zimmermann, Matthias
Escrig, Stéphane
Hübschmann, Thomas
Kirf, Mathias K.
Brand, Andreas
Inglis, R. Fredrik
Musat, Niculina
Müller, Susann
Meibom, Anders
Ackermann, Martin
Schreiber, Frank
author_facet Zimmermann, Matthias
Escrig, Stéphane
Hübschmann, Thomas
Kirf, Mathias K.
Brand, Andreas
Inglis, R. Fredrik
Musat, Niculina
Müller, Susann
Meibom, Anders
Ackermann, Martin
Schreiber, Frank
author_sort Zimmermann, Matthias
collection PubMed
description Populations of genetically identical microorganisms residing in the same environment can display marked variability in their phenotypic traits; this phenomenon is termed phenotypic heterogeneity. The relevance of such heterogeneity in natural habitats is unknown, because phenotypic characterization of a sufficient number of single cells of the same species in complex microbial communities is technically difficult. We report a procedure that allows to measure phenotypic heterogeneity in bacterial populations from natural environments, and use it to analyze N(2) and CO(2) fixation of single cells of the green sulfur bacterium Chlorobium phaeobacteroides from the meromictic lake Lago di Cadagno. We incubated lake water with (15)N(2) and (13)CO(2) under in situ conditions with and without NH(4)(+). Subsequently, we used flow cell sorting with auto-fluorescence gating based on a pure culture isolate to concentrate C. phaeobacteroides from its natural abundance of 0.2% to now 26.5% of total bacteria. C. phaeobacteroides cells were identified using catalyzed-reporter deposition fluorescence in situ hybridization (CARD-FISH) targeting the 16S rRNA in the sorted population with a species-specific probe. In a last step, we used nanometer-scale secondary ion mass spectrometry to measure the incorporation (15)N and (13)C stable isotopes in more than 252 cells. We found that C. phaeobacteroides fixes N(2) in the absence of NH(4)(+), but not in the presence of NH(4)(+) as has previously been suggested. N(2) and CO(2) fixation were heterogeneous among cells and positively correlated indicating that N(2) and CO(2) fixation activity interact and positively facilitate each other in individual cells. However, because CARD-FISH identification cannot detect genetic variability among cells of the same species, we cannot exclude genetic variability as a source for phenotypic heterogeneity in this natural population. Our study demonstrates the technical feasibility of measuring phenotypic heterogeneity in a rare bacterial species in its natural habitat, thus opening the door to study the occurrence and relevance of phenotypic heterogeneity in nature.
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spelling pubmed-43993382015-04-30 Phenotypic heterogeneity in metabolic traits among single cells of a rare bacterial species in its natural environment quantified with a combination of flow cell sorting and NanoSIMS Zimmermann, Matthias Escrig, Stéphane Hübschmann, Thomas Kirf, Mathias K. Brand, Andreas Inglis, R. Fredrik Musat, Niculina Müller, Susann Meibom, Anders Ackermann, Martin Schreiber, Frank Front Microbiol Microbiology Populations of genetically identical microorganisms residing in the same environment can display marked variability in their phenotypic traits; this phenomenon is termed phenotypic heterogeneity. The relevance of such heterogeneity in natural habitats is unknown, because phenotypic characterization of a sufficient number of single cells of the same species in complex microbial communities is technically difficult. We report a procedure that allows to measure phenotypic heterogeneity in bacterial populations from natural environments, and use it to analyze N(2) and CO(2) fixation of single cells of the green sulfur bacterium Chlorobium phaeobacteroides from the meromictic lake Lago di Cadagno. We incubated lake water with (15)N(2) and (13)CO(2) under in situ conditions with and without NH(4)(+). Subsequently, we used flow cell sorting with auto-fluorescence gating based on a pure culture isolate to concentrate C. phaeobacteroides from its natural abundance of 0.2% to now 26.5% of total bacteria. C. phaeobacteroides cells were identified using catalyzed-reporter deposition fluorescence in situ hybridization (CARD-FISH) targeting the 16S rRNA in the sorted population with a species-specific probe. In a last step, we used nanometer-scale secondary ion mass spectrometry to measure the incorporation (15)N and (13)C stable isotopes in more than 252 cells. We found that C. phaeobacteroides fixes N(2) in the absence of NH(4)(+), but not in the presence of NH(4)(+) as has previously been suggested. N(2) and CO(2) fixation were heterogeneous among cells and positively correlated indicating that N(2) and CO(2) fixation activity interact and positively facilitate each other in individual cells. However, because CARD-FISH identification cannot detect genetic variability among cells of the same species, we cannot exclude genetic variability as a source for phenotypic heterogeneity in this natural population. Our study demonstrates the technical feasibility of measuring phenotypic heterogeneity in a rare bacterial species in its natural habitat, thus opening the door to study the occurrence and relevance of phenotypic heterogeneity in nature. Frontiers Media S.A. 2015-04-16 /pmc/articles/PMC4399338/ /pubmed/25932020 http://dx.doi.org/10.3389/fmicb.2015.00243 Text en Copyright © 2015 Zimmermann, Escrig, Hübschmann, Kirf, Brand, Inglis, Musat, Müller, Meibom, Ackermann and Schreiber. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Zimmermann, Matthias
Escrig, Stéphane
Hübschmann, Thomas
Kirf, Mathias K.
Brand, Andreas
Inglis, R. Fredrik
Musat, Niculina
Müller, Susann
Meibom, Anders
Ackermann, Martin
Schreiber, Frank
Phenotypic heterogeneity in metabolic traits among single cells of a rare bacterial species in its natural environment quantified with a combination of flow cell sorting and NanoSIMS
title Phenotypic heterogeneity in metabolic traits among single cells of a rare bacterial species in its natural environment quantified with a combination of flow cell sorting and NanoSIMS
title_full Phenotypic heterogeneity in metabolic traits among single cells of a rare bacterial species in its natural environment quantified with a combination of flow cell sorting and NanoSIMS
title_fullStr Phenotypic heterogeneity in metabolic traits among single cells of a rare bacterial species in its natural environment quantified with a combination of flow cell sorting and NanoSIMS
title_full_unstemmed Phenotypic heterogeneity in metabolic traits among single cells of a rare bacterial species in its natural environment quantified with a combination of flow cell sorting and NanoSIMS
title_short Phenotypic heterogeneity in metabolic traits among single cells of a rare bacterial species in its natural environment quantified with a combination of flow cell sorting and NanoSIMS
title_sort phenotypic heterogeneity in metabolic traits among single cells of a rare bacterial species in its natural environment quantified with a combination of flow cell sorting and nanosims
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4399338/
https://www.ncbi.nlm.nih.gov/pubmed/25932020
http://dx.doi.org/10.3389/fmicb.2015.00243
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