Adaption to glucose limitation is modulated by the pleotropic regulator CcpA, independent of selection pressure strength.


Journal

BMC evolutionary biology
ISSN: 1471-2148
Titre abrégé: BMC Evol Biol
Pays: England
ID NLM: 100966975

Informations de publication

Date de publication:
10 01 2019
Historique:
received: 14 07 2018
accepted: 14 12 2018
entrez: 12 1 2019
pubmed: 12 1 2019
medline: 16 4 2019
Statut: epublish

Résumé

A central theme in (micro)biology is understanding the molecular basis of fitness i.e. which strategies are successful under which conditions; how do organisms implement such strategies at the molecular level; and which constraints shape the trade-offs between alternative strategies. Highly standardized microbial laboratory evolution experiments are ideally suited to approach these questions. For example, prolonged chemostats provide a constant environment in which the growth rate can be set, and the adaptive process of the organism to such environment can be subsequently characterized. We performed parallel laboratory evolution of Lactococcus lactis in chemostats varying the quantitative value of the selective pressure by imposing two different growth rates. A mutation in one specific amino acid residue of the global transcriptional regulator of carbon metabolism, CcpA, was selected in all of the evolution experiments performed. We subsequently showed that this mutation confers predictable fitness improvements at other glucose-limited growth rates as well. In silico protein structural analysis of wild type and evolved CcpA, as well as biochemical and phenotypic assays, provided the underpinning molecular mechanisms that resulted in the specific reprogramming favored in constant environments. This study provides a comprehensive understanding of a case of microbial evolution and hints at the wide dynamic range that a single fitness-enhancing mutation may display. It demonstrates how the modulation of a pleiotropic regulator can be used by cells to improve one trait while simultaneously work around other limiting constraints, by fine-tuning the expression of a wide range of cellular processes.

Sections du résumé

BACKGROUND
A central theme in (micro)biology is understanding the molecular basis of fitness i.e. which strategies are successful under which conditions; how do organisms implement such strategies at the molecular level; and which constraints shape the trade-offs between alternative strategies. Highly standardized microbial laboratory evolution experiments are ideally suited to approach these questions. For example, prolonged chemostats provide a constant environment in which the growth rate can be set, and the adaptive process of the organism to such environment can be subsequently characterized.
RESULTS
We performed parallel laboratory evolution of Lactococcus lactis in chemostats varying the quantitative value of the selective pressure by imposing two different growth rates. A mutation in one specific amino acid residue of the global transcriptional regulator of carbon metabolism, CcpA, was selected in all of the evolution experiments performed. We subsequently showed that this mutation confers predictable fitness improvements at other glucose-limited growth rates as well. In silico protein structural analysis of wild type and evolved CcpA, as well as biochemical and phenotypic assays, provided the underpinning molecular mechanisms that resulted in the specific reprogramming favored in constant environments.
CONCLUSION
This study provides a comprehensive understanding of a case of microbial evolution and hints at the wide dynamic range that a single fitness-enhancing mutation may display. It demonstrates how the modulation of a pleiotropic regulator can be used by cells to improve one trait while simultaneously work around other limiting constraints, by fine-tuning the expression of a wide range of cellular processes.

Identifiants

pubmed: 30630406
doi: 10.1186/s12862-018-1331-x
pii: 10.1186/s12862-018-1331-x
pmc: PMC6327505
doi:

Substances chimiques

Bacterial Proteins 0
Glucose IY9XDZ35W2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

15

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Auteurs

Claire E Price (CE)

Molecular Genetics Group, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands.
Department of Biochemistry, University of Groningen, Nijenborgh 4, 9747 AG, Groningen, The Netherlands.
Kluyver Center for Genomics of Industrial Fermentations/NCSB, Julianalaan 67, 2628 BC, Delft, The Netherlands.
Present address: DSM Biotechnology Centre, Alexander Fleminglaan 1, 2613 AX, Delft, The Netherlands.

Filipe Branco Dos Santos (F)

Kluyver Center for Genomics of Industrial Fermentations/NCSB, Julianalaan 67, 2628 BC, Delft, The Netherlands.
Systems Bioinformatics, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.
Molecular Microbial Physiology Group, Faculty of Life Science, Swammerdam Institute of Life Sciences, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, Netherlands.

Anne Hesseling (A)

Molecular Genetics Group, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands.

Jaakko J Uusitalo (JJ)

Molecular Dynamics Group, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands.

Herwig Bachmann (H)

Kluyver Center for Genomics of Industrial Fermentations/NCSB, Julianalaan 67, 2628 BC, Delft, The Netherlands.
Systems Bioinformatics, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.

Vera Benavente (V)

Systems Bioinformatics, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.

Anisha Goel (A)

Kluyver Center for Genomics of Industrial Fermentations/NCSB, Julianalaan 67, 2628 BC, Delft, The Netherlands.
Systems Bioinformatics, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.
Present address: Chr. Hansen, Boege Allé 10-12, 2970, Hoersholm, Denmark.

Jan Berkhout (J)

Systems Bioinformatics, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.

Frank J Bruggeman (FJ)

Systems Bioinformatics, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.

Siewert-Jan Marrink (SJ)

Molecular Dynamics Group, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands.

Manolo Montalban-Lopez (M)

Molecular Genetics Group, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands.

Anne de Jong (A)

Molecular Genetics Group, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands.

Jan Kok (J)

Molecular Genetics Group, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands.

Douwe Molenaar (D)

Kluyver Center for Genomics of Industrial Fermentations/NCSB, Julianalaan 67, 2628 BC, Delft, The Netherlands.
Systems Bioinformatics, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.

Bert Poolman (B)

Department of Biochemistry, University of Groningen, Nijenborgh 4, 9747 AG, Groningen, The Netherlands.

Bas Teusink (B)

Kluyver Center for Genomics of Industrial Fermentations/NCSB, Julianalaan 67, 2628 BC, Delft, The Netherlands. b.teusink@vu.nl.
Systems Bioinformatics, Faculty of Earth and Life Sciences, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands. b.teusink@vu.nl.

Oscar P Kuipers (OP)

Molecular Genetics Group, University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands. o.p.kuipers@rug.nl.
Kluyver Center for Genomics of Industrial Fermentations/NCSB, Julianalaan 67, 2628 BC, Delft, The Netherlands. o.p.kuipers@rug.nl.

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Classifications MeSH