Molecular simulation of the interaction mechanism between CodY protein and DNA in Lactococcus lactis

Linchen Yuan, Hao Wu, Yue Zhao, Xiaoyu Qin, Yanni Li

PDF(895 KB)
PDF(895 KB)
Front. Chem. Sci. Eng. ›› 2019, Vol. 13 ›› Issue (1) : 133-139. DOI: 10.1007/s11705-018-1737-4
RESEARCH ARTICLE
RESEARCH ARTICLE

Molecular simulation of the interaction mechanism between CodY protein and DNA in Lactococcus lactis

Author information +
History +

Abstract

In Lactococcus lactis, the global transcriptional regulatory factor CodY can interact with the promoter DNA to regulate the growth, metabolism, environmental adaptation and other biological activities of the strains. In order to study the mechanism of interaction between CodY and its target DNA, molecular docking and molecular dynamics simulations were used to explore the binding process at molecular level. Through the calculations of the free energy of binding, hydrogen bonding and energy decomposition, nine key residues of CodY were identified, corresponding to SER184, SER186, SER208, THR217, ARG218, SER219, ASN223, LYS242 and GLY243, among which SER186, ARG218 and LYS242 play a vital role in DNA binding. Our research results provide important theoretical guidance for using wet-lab methods to study and optimize the metabolic network regulated by CodY.

Graphical abstract

Keywords

CodY / DNA / molecular docking / molecular dynamics

Cite this article

Download citation ▾
Linchen Yuan, Hao Wu, Yue Zhao, Xiaoyu Qin, Yanni Li. Molecular simulation of the interaction mechanism between CodY protein and DNA in Lactococcus lactis. Front. Chem. Sci. Eng., 2019, 13(1): 133‒139 https://doi.org/10.1007/s11705-018-1737-4

References

[1]
Zhang J, Zhong J. The journey of nisin development in China, a natural-green food preservative. Protein & Cell, 2015, 6(10): 709–711
CrossRef Google scholar
[2]
Song A, In L, Lim S, Rahim R A. A review on  Lactococcus lactis: From food to factory. Microbial Cell Factories, 2017, 16(1): 55
CrossRef Google scholar
[3]
Papadimitriou K, Alegria A, Bron P A, Angelis M, Gobbetti M, Kleerebezem M. Stress physiology of lactic acid bacteria. Microbiology and Molecular Biology Reviews, 2016, 80(3): 837–890
CrossRef Google scholar
[4]
McMahon D J, Oberg C J, Drake M A, Farkye N, Moyes L V, Arnold M R, Ganesan B, Steele J, Broadbent J R. Effect of sodium, potassium, magnesium, and calcium salt cations on pH, proteolysis, organic acids, and microbial populations during storage of full-fat cheddar cheese. Journal of Dairy Science, 2014, 97(8): 4780–4798
CrossRef Google scholar
[5]
Laroute V, Yasaro C, Narin W, Mazzoli R, Pessione E, Loubiere P. GABA production in Lactococcus lactis is enhanced by arginine and co-addition of malate. Frontiers in Microbiology, 2016, 7: 1050
CrossRef Google scholar
[6]
Delcour J, Ferain T, Deghorain M, Palumbo E, Hols P. The biosynthesis and functionality of the cell-wall of lactic acid bacteria. Antonie van Leeuwenhoek, 1999, 76(1/4): 159–184
CrossRef Google scholar
[7]
Hartke A, Bouche S, Giard J C, Benachour A, Boutibonnes P, Auffray Y. The lactic acid stress response of Lactococcus lactis subsp. lactis. Current Microbiology, 1996, 33(3): 194–199
CrossRef Google scholar
[8]
Belitsky B R, Sonenshein A L. Genome-wide identification of Bacillus subtilis CodY-binding sites at single-nucleotide resolution. Proceedings of the National Academy of Sciences of the United States of America, 2013, 110(17): 7026–7031
CrossRef Google scholar
[9]
Yuan T, Guo Y K, Dong J K, Li T Y, Zhou T, Sun K W, Zhang M, Wu Q Y, Xie Z, Cai Y Z, . Construction, characterization and application of a genome-wide promoter library in Saccharomyces cerevisiae. Frontiers of Chemical Science and Engineering, 2017, 11(1): 107–116
CrossRef Google scholar
[10]
Levdikov V M, Blagova E, Young V L, Belitsky B R, Lebedev A, Sonenshein A L, Wilkinson A J. Structure of the branched-chain amino acid and GTP-sensing global regulator, CodY, from Bacillus subtilis. Journal of Biological Chemistry, 2017, 292(7): 2714–2728
CrossRef Google scholar
[11]
Biasini M, Bienert S, Waterhouse A, Arnold K, Studer G, Schmidt T, Klefer F, Cassarino T G, Bertonl M, Bordoli L, . Swiss-model: Modelling protein tertiary and quaternary structure using evolutionary information. Nucleic Acids Research, 2014, 42(W1): W252–W258
CrossRef Google scholar
[12]
Case D A, Darden T A, Cheatham T E III. AMBER 12. 2012
[13]
Adcock S A, Mccammon J A. Molecular dynamics: Survey of methods for simulating the activity of proteins. Chemical Reviews, 2006, 106(5): 1589–1615
CrossRef Google scholar
[14]
Essmann U, Perera L, Berkowitz M, Darden T, Lee H, Pedersen L G. A smooth particle mesh Ewald method. Journal of Chemical Physics, 1998, 103(19): 8577–8593
CrossRef Google scholar
[15]
Colovos C, Yeates T O. Verification of protein structures: Patterns of nonbonded atomic interactions. Protein Science, 1993, 2(9): 1511–1519
CrossRef Google scholar
[16]
Wiederstein M, Slppl M J. ProSA-web: Interactive web service for the recognition of errors in three-dimensional structures of proteins. Nucleic Acids Research, 2007, 35(Web Server): W407–W410
CrossRef Google scholar
[17]
Ercan O, Wels M, Smid E J, Kleerebezem M. Molecular and metabolic adaptations of  Lactococcus lactis at near-zero growth rates. Applied and Environmental Microbiology, 2015, 81(1): 320–331
CrossRef Google scholar
[18]
Dijk M V, Bonvin A M. 3D-DART: A DNA structure modeling server. Nucleic Acids Research, 2009, 37(Web Server): W235–W239
CrossRef Google scholar
[19]
Dijk M V, Dijk A D, Hsu V, Boelens R, Bonvin A M. Information-driven protein-DNA docking using HADDOCK: It is a matter of flexibility. Nucleic Acids Research, 2006, 34(11): 3317–3325
CrossRef Google scholar
[20]
Massova I, Kollman P A. Combined molecular mechanical and continuum solvent approach (MM-PBSA/GBSA) to predict ligand binding. Perspectives in Drug Discovery and Design, 2000, 18(1): 113–135
CrossRef Google scholar
[21]
Kottalam J, Case D A. Langevin modes of macromolecules: Applications to crambin and DNA hexamers. Biopolymers, 1990, 29(10-11): 1409–1421
CrossRef Google scholar
[22]
Sharp K A, Honig B. Electrostatic interactions in macromolecules: Theory and applications. Annual Review of Biophysics and Biophysical Chemistry, 1990, 19(1): 301–332
CrossRef Google scholar
[23]
Sitkoff D, Sharp K A, Honig B. Accurate calculation of hydration free energies using macroscopic solvent models. Journal of Physical Chemistry, 1994, 98(7): 1978–1988
CrossRef Google scholar
[24]
Still W C, Tempczyk A, Hawley R C, Hendirckson T. Semianalytical treatment of solvation for molecular mechanics and dynamics. Journal of the American Chemical Society, 1990, 112(16): 6127–6129
CrossRef Google scholar

Acknowledgements

This paper is financially supported by the National Natural Science Foundation of China (Grant No. 31570049).

RIGHTS & PERMISSIONS

2018 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature
AI Summary AI Mindmap
PDF(895 KB)

Accesses

Citations

Detail

Sections
Recommended

/