2019 Volume 9 Issue 4
Article Contents

Keying Song, Wanbiao Ma, Ke Guo. GLOBAL BEHAVIOR OF A DYNAMIC MODEL WITH BIODEGRADATION OF MICROCYSTINS[J]. Journal of Applied Analysis & Computation, 2019, 9(4): 1261-1276. doi: 10.11948/2156-907X.20180215
Citation: Keying Song, Wanbiao Ma, Ke Guo. GLOBAL BEHAVIOR OF A DYNAMIC MODEL WITH BIODEGRADATION OF MICROCYSTINS[J]. Journal of Applied Analysis & Computation, 2019, 9(4): 1261-1276. doi: 10.11948/2156-907X.20180215

GLOBAL BEHAVIOR OF A DYNAMIC MODEL WITH BIODEGRADATION OF MICROCYSTINS

  • Corresponding author: Email address: wanbiao_ma@ustb.edu.cn(W. Ma) 
  • Fund Project: The authors were supported by the National Key R&D Program of China (No. 2017YFF0207401), the National Natural Science Foundation of China (No. 11471034) and Beijing Key Laboratory for Magneto-Photoelectrical Composite and Interface Science
  • Considering the biodegradation pathway of Microcystins, in this paper, we propose a model described by a system of ordinary differential equations. We firstly investigate the local stability of the positive equilibrium and the existence of Hopf bifurcations. Then, the global stability of the positive equilibrium and the permanence of the model are considered. Finally, numerical simulations are carried out to illustrate the obtained results and we also consider the control strategy by changing the parameters in the model.
    MSC: 92B05, 34D20
  • 加载中
  • [1] J. D. Brookes and C. C. Carey, Resilience to blooms, Science, 2011, 334(6052), 46–47. doi: 10.1126/science.1207349

    CrossRef Google Scholar

    [2] A. Campos and V. Vasconcelos, Molecular mechanisms of microcystin toxicity in animal cells, International Journal of Molecular Sciences, 2010, 11(1), 268– 287. doi: 10.3390/ijms11010268

    CrossRef Google Scholar

    [3] J. Chen, L. B. Hu, W. Zhou et al., Degradation of microcystin-LR and RR by a Stenotrophomonas sp. Strain EMS isolated from lake Taihu, China, International Journal of Molecular Sciences, 2010, 11(3), 896–911. doi: 10.3390/ijms11030896

    CrossRef Google Scholar

    [4] R. M. Dawson, The toxicology of microcystins, Toxicon, 1998, 36(7), 953–962. doi: 10.1016/S0041-0101(97)00102-5

    CrossRef Google Scholar

    [5] I. R. Falconer, Environmental Toxicology, 1999, 14(1), 5–12.

    Google Scholar

    [6] S. Guo, W. Jiang and H. Wang, Global analysis in delayed ratio-dependent gause-type predator-prey models, Journal of Applied Analysis and Computation, 2017, 7(3), 1095–1111.

    Google Scholar

    [7] S. Guo and W. Ma, Global behavior of delay differential equations model of HIV infection with apoptosis, Discrete & Continuous Dynamical Systems–B, 2016, 21(1), 103.

    Google Scholar

    [8] S. Guo and W. Ma, Global dynamics of a microorganism flocculation model with time delay, Communications on Pure & Applied Analysis, 2017, 16(5), 1883–1891.

    Google Scholar

    [9] S. Guo, W. Ma and X.-Q. Zhao, Global dynamics of a time-delayed microorganism flocculation model with saturated functional responses, Journal of Dynamics and Differential Equations, 2017, 1–25.

    Google Scholar

    [10] R. E. Honkanen, J. Zwiller, R. Moore et al., Characterization of microcystin-LR, a potent inhibitor of type 1 and type 2A protein phosphatases, Journal of Biological Chemistry, 1990, 265(32), 19401–19404.

    Google Scholar

    [11] G. J. Jones, D. G. Bourne, R. L. Blakeley and H. Doelle, Degradation of the cyanobacterial hepatotoxin microcystin by aquatic bacteria, Natural Toxins, 1994, 2(4), 228–235. doi: 10.1002/(ISSN)1056-9014

    CrossRef Google Scholar

    [12] A.-D. Jungblut and B. A. Neilan, Molecular identifcation and evolution of the cyclic peptide hepatotoxins, microcystin and nodularin, synthetase genes in three orders of cyanobacteria, Archives of Microbiology, 2006, 185(2), 107–114. doi: 10.1007/s00203-005-0073-5

    CrossRef Google Scholar

    [13] Y. Kuang, Delay differential equations: with applications in population dynamics, Academic Press, Boston, 1993.

    Google Scholar

    [14] J. Li, R. Li and J. Li, Current research scenario for microcystins biodegradation–a review on fundamental knowledge, application prospects and challenges, Science of the Total Environment, 2017, 595, 615–632. doi: 10.1016/j.scitotenv.2017.03.285

    CrossRef Google Scholar

    [15] J. Li, K. Shimizu, H. Maseda et al., Investigations into the biodegradation of microcystin-LR mediated by the bioflm in wintertime from a biological treatment facility in a drinking-water treatment plant, Bioresource Technology, 2012, 106, 27–35. doi: 10.1016/j.biortech.2011.11.099

    CrossRef Google Scholar

    [16] W. Liu, S. A. Levin and Y. Iwasa, Influence of nonlinear incidence rates upon the behavior of SIRS epidemiological models, Journal of Mathematical Biology, 1986, 23(2), 187–204. doi: 10.1007/BF00276956

    CrossRef Google Scholar

    [17] X. Liu, T. Zhang, X. Meng and T. Zhang, Turing-Hopf bifurcations in a predator-prey model with herd behavior, quadratic mortality and prey-taxis, Physica A: Statistical Mechanics and its Applications, 2018, 496, 446–460. doi: 10.1016/j.physa.2018.01.006

    CrossRef Google Scholar

    [18] W. H. O, Guidelines for drinking-water quality. in: Health criteria and other supporting information, World Health Organization, Geneva, 1998, 2, 95–110.

    Google Scholar

    [19] H. W. Paerl and J. Huisman, Blooms like it hot, Science, 2008, 320(5872), 57–58. doi: 10.1126/science.1155398

    CrossRef Google Scholar

    [20] L. Pearson, T. Mihali, M. Moftt et al., On the chemistry, toxicology and genetics of the cyanobacterial toxins, microcystin, nodularin, saxitoxin and cylindrospermopsin, Marine Drugs, 2010, 8(5), 1650–1680. doi: 10.3390/md8051650

    CrossRef Google Scholar

    [21] J. Puddick, M. R. Prinsep, S. A. Wood et al., High levels of structural diversity observed in microcystins from Microcystis CAWBG11 and characterization of six new microcystin congeners, Marine drugs, 2014, 12(11), 5372–5395. doi: 10.3390/md12115372

    CrossRef Google Scholar

    [22] R. P. Rastogi, R. P. Sinha and A. Incharoensakdi, The cyanotoxin-microcystins: current overview, Reviews in Environmental Science and Bio/Technology, 2014, 13(2), 215–249. doi: 10.1007/s11157-014-9334-6

    CrossRef Google Scholar

    [23] C. Ross, L. Santiago-Vázquez and V. Paul, Toxin release in response to oxidative stress and programmed cell death in the cyanobacterium Microcystis aeruginosa, Aquatic Toxicology, 2006, 78(1), 66–73.

    Google Scholar

    [24] S. Ruan, Oscillations in plankton models with nutrient recycling, Journal of Theoretical Biology, 2001, 208(1), 15–26.

    Google Scholar

    [25] K. Shimizu, H. Maseda, K. Okano et al., Enzymatic pathway for biodegrading microcystin LR in Sphingopyxis sp. C-1, Journal of Bioscience and Bioengineering, 2012, 114(6), 630–634. doi: 10.1016/j.jbiosc.2012.07.004

    CrossRef Google Scholar

    [26] H. L. Smith and P. Waltman, The theory of the chemostat: dynamics of microbial competition, Cambridge University Press, Cambridge, 1995.

    Google Scholar

    [27] K. Song, W. Ma, S. Guo and H. Yan, A class of dynamic models describing microbial flocculant with nutrient competition and metabolic products in wastewater treatment, Advances in Difference Equations, 2018, 2018(1), 33.

    Google Scholar

    [28] K. Song, W. Ma and Z. Jiang, Bifurcation analysis of modeling biodegradation of microcystins, International Journal of Biomathematics, 2019, 1950028.

    Google Scholar

    [29] K. Song, T. Zhang and W. Ma, Nontrivial periodic solution of a stochastic nonautonomous model with biodegradation of microcystins, Applied Mathematics Letters, 2019, 94, 87–93. doi: 10.1016/j.aml.2019.02.027

    CrossRef Google Scholar

    [30] C. Svrcek and D. W. Smith, Cyanobacteria toxins and the current state of knowledge on water treatment options: a review, Journal of Environmental Engineering and Science, 2004, 3(3), 155–185. doi: 10.1139/s04-010

    CrossRef Google Scholar

    [31] X. Tai, W. Ma, S. Guo et al., A class of dynamic delayed model describing flocculation of microorganism and its theoretical analysis, Mathematics in Practice and Theory, 2015, 45(13), 198–209.

    Google Scholar

    [32] W. Wang, Global behavior of an SEIRS epidemic model with time delays, Applied Mathematics Letters, 2002, 15(4), 423–428. doi: 10.1016/S0893-9659(01)00153-7

    CrossRef Google Scholar

    [33] W. Wang, W. Ma and H. Yan, Global dynamics of modeling flocculation of microorganism, Applied Sciences, 2016, 6(8), 221. doi: 10.3390/app6080221

    CrossRef Google Scholar

    [34] G. S. Wolkowicz and Z. Lu, Global dynamics of a mathematical model of competition in the chemostat: general response functions and differential death rates, SIAM Journal on Applied Mathematics, 1992, 52(1), 222–233. doi: 10.1137/0152012

    CrossRef Google Scholar

    [35] H. Yan, J. Wang, J. Chen et al., Characterization of the frst step involved in enzymatic pathway for microcystin-RR biodegraded by Sphingopyxis sp. USTB-05, Chemosphere, 2012, 87(1), 12–18.

    Google Scholar

    [36] K. Yang and W. Ma, Differential equation model describing degradation of Microcystins(MCs) and its theoretical analysis, Mathematics in Practice and Theory, 2019. In press.

    Google Scholar

    [37] X. Yu, S. Yuan and T. Zhang, Survival and ergodicity of a stochastic phytoplankton–zooplankton model with toxin-producing phytoplankton in an impulsive polluted environment, Applied Mathematics and Computation, 2019, 347, 249–264. doi: 10.1016/j.amc.2018.11.005

    CrossRef Google Scholar

    [38] T. Zhang, X. Liu, X. Meng and T. Zhang, Spatio-temporal dynamics near the steady state of a planktonic system, Computers and Mathematics with Applications, 2018, 75, 4490–4504. doi: 10.1016/j.camwa.2018.03.044

    CrossRef Google Scholar

    [39] T. Zhang, W. Ma and X. Meng, Dynamical analysis of a continuous-culture and harvest chemostat model with impulsive effect, Journal of Biological Systems, 2015, 23(4), 555–575.

    Google Scholar

    [40] T. Zhang, W. Ma and X. Meng, Global dynamics of a delayed chemostat model with harvest by impulsive flocculant input, Advances in Difference Equations, 2017, 2017(1), 115.

    Google Scholar

    [41] T. Zhang, T. Zhang and X. Meng, Stability analysis of a chemostat model with maintenance energy, Applied Mathematics Letters, 2017, 68, 1–7. doi: 10.1016/j.aml.2016.12.007

    CrossRef Google Scholar

    [42] F. Zhu, X. Meng and T. Zhang, Optimal harvesting of a competitive n-species stochastic model with delayed diffusions, Mathematical Biosciences and Engineering, 2019, 16, 1554–1574. doi: 10.3934/mbe.2019074

    CrossRef Google Scholar

    [43] X. Zhu, Y. Shen, X. Chen et al., Biodegradation mechanism of microcystin-LR by a novel isolate of Rhizobium sp. TH and the evolutionary origin of the mlrA gene, International Biodeterioration & Biodegradation, 2016, 115, 17–25.

    Google Scholar

Figures(3)

Article Metrics

Article views(1930) PDF downloads(553) Cited by(0)

Access History

Other Articles By Authors

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint