Adaption to glucose limitation is modulated by the pleotropic regulator CcpA, independent of selection pressure strength.
Evolution
Lactic acid bacteria
Systems biology
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
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
15Références
Bioinformatics. 2003 Aug 12;19(12):1580-2
pubmed: 12912842
Proc Natl Acad Sci U S A. 2013 Aug 27;110(35):14302-7
pubmed: 23940318
Appl Environ Microbiol. 2015 Jan;81(1):17-30
pubmed: 25304508
J Bacteriol. 1995 Mar;177(6):1554-63
pubmed: 7883712
BMC Genomics. 2005 May 20;6:77
pubmed: 15907200
Nucleic Acids Res. 2011 Apr;39(7):2931-42
pubmed: 21106498
Stat Med. 1990 Jul;9(7):811-8
pubmed: 2218183
Appl Environ Microbiol. 1993 Dec;59(12):4363-6
pubmed: 16349136
Genome Res. 2012 Jan;22(1):115-24
pubmed: 22080491
BMC Genomics. 2012 Aug 17;13:401
pubmed: 22900538
Yeast. 2017 Aug;34(8):343-355
pubmed: 28426144
Genome Res. 2001 May;11(5):731-53
pubmed: 11337471
J Chem Theory Comput. 2008 Mar;4(3):435-47
pubmed: 26620784
Antonie Van Leeuwenhoek. 2002 Aug;82(1-4):113-22
pubmed: 12369183
Metab Eng. 2010 Mar;12(2):150-60
pubmed: 19646545
Mol Microbiol. 2009 Feb;71(3):795-806
pubmed: 19054326
Proc Natl Acad Sci U S A. 2009 Apr 21;106(16):6477-82
pubmed: 19346491
FEMS Microbiol Rev. 2015 Jan;39(1):2-16
pubmed: 25098268
Science. 1950 Dec 15;112(2920):715-6
pubmed: 14787503
Acta Biochim Pol. 2003;50(2):455-9
pubmed: 12833169
BMC Microbiol. 2005 Jun 27;5:39
pubmed: 15982422
Nat Struct Mol Biol. 2015 Jan;22(1):57-64
pubmed: 25486304
Mol Microbiol. 2015 Jul;97(1):77-92
pubmed: 25828364
Cell Syst. 2016 Apr 27;2(4):260-71
pubmed: 27135538
J Bacteriol. 2010 May;192(10):2649-50
pubmed: 20348266
Nucleic Acids Res. 2010 Jul;38(Web Server issue):W529-33
pubmed: 20478830
Bioinformatics. 2006 Jan 15;22(2):195-201
pubmed: 16301204
J Am Chem Soc. 2004 Jan 28;126(3):698-9
pubmed: 14733527
J Bacteriol. 2010 Nov;192(21):5806-12
pubmed: 20639323
J Bacteriol. 2007 Apr;189(8):3256-70
pubmed: 17307855
BMC Genomics. 2012 Jul 02;13:299
pubmed: 22747501
Mol Syst Biol. 2013 Oct 29;9:700
pubmed: 24169403
Microbiol Mol Biol Rev. 2006 Dec;70(4):939-1031
pubmed: 17158705
Science. 2013 Dec 13;342(6164):1364-7
pubmed: 24231808
Nature. 2009 Oct 29;461(7268):1243-7
pubmed: 19838166
J Bacteriol. 1979 Apr;138(1):109-17
pubmed: 108249
FEBS Lett. 2004 Aug 27;573(1-3):83-92
pubmed: 15327980
Proc Natl Acad Sci U S A. 2006 Oct 17;103(42):15611-6
pubmed: 17030793
J Bacteriol. 1988 Feb;170(2):700-7
pubmed: 3123462
Acta Crystallogr D Biol Crystallogr. 2007 Apr;63(Pt 4):431-6
pubmed: 17372346