Literature DB >> 16797039

A mathematical model for copper homeostasis in Enterococcus hirae.

Elisabeth Pécou1, Alejandro Maass, Daniel Remenik, Julien Briche, Mauricio Gonzalez.   

Abstract

Copper is an essential micronutrient for life. It is required by a wide range of species, from bacteria to yeast, plants and mammals including humans. To prevent the consequences of the excess or deficit of copper, living organisms have developed molecular mechanisms that regulate the uptake, efflux, storage and use of the metal. However, the limits of homeostatic regulation are not known. Here, we take advantage of a simple biological mechanism involved in copper metabolism of Enterococcus hirae, to explore how the regulation is achieved by using a set of four proteins codified in the cop operon: two P-type ATP-ases copper transporters, one copper chaper-one and one Cu-response transcription factor. We propose a mathematical model, based on differential equations and the power-law formalism (see M.A. Savageau, Chaos 11(1) (2001) 142-159), for the behavior of the cop operon and we show that homeostasis is a result of transient dynamics. The results derived from the mathematical model allow to measure qualitatively the adaptability of the system to its environment. This detailed model has been possible thanks to the available experimental biological information provided in a sequence of recent works by Solioz and co-workers.

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Year:  2006        PMID: 16797039     DOI: 10.1016/j.mbs.2006.04.009

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  9 in total

1.  Insights into two high homogenous genes involved in copper homeostasis in Acidithiobacillus ferrooxidans.

Authors:  Yanjie Luo; Yuandong Liu; Chenggui Zhang; Hailang Luo; Hao Guan; Hehuan Liao; Guanzhou Qiu; Xueduan Liu
Journal:  Curr Microbiol       Date:  2008-07-11       Impact factor: 2.188

2.  Inducing chaos in a gene regulatory network by coupling an oscillating dynamics with a hysteresis-type one.

Authors:  Camille Poignard
Journal:  J Math Biol       Date:  2013-07-10       Impact factor: 2.259

3.  Copper isotope fractionation during surface adsorption and intracellular incorporation by bacteria.

Authors:  Jesica U Navarrete; David M Borrok; Marian Viveros; Joanne T Ellzey
Journal:  Geochim Cosmochim Acta       Date:  2011-02-01       Impact factor: 5.010

4.  Copper Tolerance and Characterization of a Copper-Responsive Operon, copYAZ, in an M1T1 Clinical Strain of Streptococcus pyogenes.

Authors:  Christie A Young; Lily D Gordon; Zhong Fang; Robert C Holder; Sean D Reid
Journal:  J Bacteriol       Date:  2015-05-26       Impact factor: 3.490

5.  Effect of aluminum loading on structural and morphological characteristics of ZnO nanoparticles for heavy metal ion elimination.

Authors:  Lotfi Khezami; Abueliz Modwi; Imed Ghiloufi; Kamal K Taha; Mohamed Bououdina; Atef ElJery; Lassaad El Mir
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-14       Impact factor: 4.223

6.  An important role for periplasmic storage in Pseudomonas aeruginosa copper homeostasis revealed by a combined experimental and computational modeling study.

Authors:  Jignesh H Parmar; Julia Quintana; David Ramírez; Reinhard Laubenbacher; José M Argüello; Pedro Mendes
Journal:  Mol Microbiol       Date:  2018-09-16       Impact factor: 3.501

Review 7.  Unique underlying principles shaping copper homeostasis networks.

Authors:  Lorena Novoa-Aponte; José M Argüello
Journal:  J Biol Inorg Chem       Date:  2022-07-08       Impact factor: 3.862

8.  Robustness in regulatory interaction networks. A generic approach with applications at different levels: physiologic, metabolic and genetic.

Authors:  Jacques Demongeot; Hedi Ben Amor; Adrien Elena; Pierre Gillois; Mathilde Noual; Sylvain Sené
Journal:  Int J Mol Sci       Date:  2009-11-20       Impact factor: 6.208

9.  Metallochaperones regulate intracellular copper levels.

Authors:  W Lee Pang; Amardeep Kaur; Alexander V Ratushny; Aleksandar Cvetkovic; Sunil Kumar; Min Pan; Adam P Arkin; John D Aitchison; Michael W W Adams; Nitin S Baliga
Journal:  PLoS Comput Biol       Date:  2013-01-17       Impact factor: 4.475

  9 in total

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