We introduce various models for cellulose bio-degradation by micro-organisms. Those models rely on complex chemical mechanisms, involve the structure of the cellulose chains and are allowed to depend on the phenotypical traits of the population of micro-organisms. We then use the corresponding models in the context of multiple-trait populations. This leads to classical, logistic type, reproduction rates limiting the growth of large populations but also, and more surprisingly, limiting the growth of populations which are too small in a manner similar to the effects seen in populations requiring cooperative interactions (or sexual reproduction). This study thus offers a striking example of how some mechanisms resembling cooperation can occur in structured biological populations, even in the absence of any actual cooperation.
Accepté le :
DOI : 10.1051/m2an/2017021
Mots-clés : Mathematical biology, structured population dynamics
@article{M2AN_2017__51_6_2289_0, author = {Jabin, Pierre-Emmanuel and Miroshnikov, Alexey and Young, Robin}, title = {Cellulose biodegradation models; an example of cooperative interactions in structured populations}, journal = {ESAIM: Mathematical Modelling and Numerical Analysis }, pages = {2289--2318}, publisher = {EDP-Sciences}, volume = {51}, number = {6}, year = {2017}, doi = {10.1051/m2an/2017021}, zbl = {1382.92185}, mrnumber = {3745173}, language = {en}, url = {http://archive.numdam.org/articles/10.1051/m2an/2017021/} }
TY - JOUR AU - Jabin, Pierre-Emmanuel AU - Miroshnikov, Alexey AU - Young, Robin TI - Cellulose biodegradation models; an example of cooperative interactions in structured populations JO - ESAIM: Mathematical Modelling and Numerical Analysis PY - 2017 SP - 2289 EP - 2318 VL - 51 IS - 6 PB - EDP-Sciences UR - http://archive.numdam.org/articles/10.1051/m2an/2017021/ DO - 10.1051/m2an/2017021 LA - en ID - M2AN_2017__51_6_2289_0 ER -
%0 Journal Article %A Jabin, Pierre-Emmanuel %A Miroshnikov, Alexey %A Young, Robin %T Cellulose biodegradation models; an example of cooperative interactions in structured populations %J ESAIM: Mathematical Modelling and Numerical Analysis %D 2017 %P 2289-2318 %V 51 %N 6 %I EDP-Sciences %U http://archive.numdam.org/articles/10.1051/m2an/2017021/ %R 10.1051/m2an/2017021 %G en %F M2AN_2017__51_6_2289_0
Jabin, Pierre-Emmanuel; Miroshnikov, Alexey; Young, Robin. Cellulose biodegradation models; an example of cooperative interactions in structured populations. ESAIM: Mathematical Modelling and Numerical Analysis , Tome 51 (2017) no. 6, pp. 2289-2318. doi : 10.1051/m2an/2017021. http://archive.numdam.org/articles/10.1051/m2an/2017021/
Concentrations and constrained Hamilton-Jacobi equations arising in adaptive dynamics. Contemp. Math. Amer. Math. Soc. 439 (2007) 57–68, | DOI | MR | Zbl
and ,Stationary distributions under mutation-selection balance: structure and properties. Adv. Appl. Probl. 28 (1996) 227–251. | DOI | MR | Zbl
and ,Small mutation rate and evolutionarily stable strategies in infinite dimensional adaptive dynamics. J. Math. Biol. 48 (2004) 135–159. | DOI | MR | Zbl
and ,R. Ferriére and G. Ben Arous. The canonical equation of adaptive dynamics: a mathematical view. Selection 2 (2001) 71–81.
,A microscopic interpretation for adaptive dynamics trait substitution sequence models. Stoch. Process. Appl. 116 (2006) 1127–60. | DOI | MR | Zbl
,Unifying evolutionary dynamics: from individual stochastic processes to macroscopic models. Theor. Popul. Biol. 69 (2006) 297–321. | DOI | Zbl
, and ,R. Ferriére and S. Méléard. From individual stochastic processes to macroscopic models in adaptive evolution. Stoch. Models 24 (2008) 2–44. | DOI | MR | Zbl
,Convergence to equilibrium in competitive Lotka-Volterra and chemostat systems. C. R. Math. Acad. Sci. Paris 348 (2010) 1267–72. | DOI | MR | Zbl
, and ,On selection dynamics for continuous structured populations. Commun. Math. Sci.6 (2008) 729–747. | DOI | MR | Zbl
, , and ,The dynamical theory of coevolution: a derivation from stochastic ecological processes. J. Math. Biol. 34 (1996) 579–612. | DOI | MR | Zbl
and ,On the formulation and analysis of general deterministic structured population models. II. Nonlinear theory. J. Math. Biol. 43 (2001) 157–189. | DOI | MR | Zbl
, , , , and .O. Diekmann, A beginner’s guide to adaptive dynamics. In vol. 63 of Mathematical modelling of population dynamics, Banach Center Publ., Polish Acad. Sci., Warsaw (2004) 47–86. | MR | Zbl
The dynamics of adaptation: An illuminating example and a Hamilton-Jacobi approach. Theor. Popul. Biol. 67 (2005) 257–271. | DOI | Zbl
, , and ,R. Law and M. Gauduchon (2002). Cheating and the evolutionary stability of mutualisms. Proc. R. Soc. London B 269 (2002) 773–780. | DOI
, , ,The adaptive dynamics of altruism in spatially heterogeneous populations. Evolution 57 (2003) 1–17.
, and ,A simple model illustrating the role of turbulent life on phytoplankton blooms. J. Math. Biol. 46 (2003) 333–346. | DOI | MR | Zbl
and ,Global asymptotic stability in Volterra’s population systems. J. Math. Biol. 19 (1984) 157–168. | DOI | MR | Zbl
,On the impossibility of coexistence of infinitely many strategies. J. Math. Biol. 50 (2005) 133–160. | DOI | MR | Zbl
and ,Systems of differential equations which are competitive or cooperative. III. Competing species. Nonlinearity 1 (1988) 51–71. | DOI | MR | Zbl
,J. Hofbauer and K. Sigmund, Evolutionary Games and Population Dynamics. Cambridge University Press, Cambridge (1998). | MR | Zbl
Selection dynamics with competition. J. Math. Biol. 63 (2011) 493–517. | DOI | MR | Zbl
and ,Small populations corrections for selection-mutation models. Netw. Heterog. Media 7 (2012) 805–836. | DOI | MR | Zbl
,Eco-evolutionary dynamics of mutualists and exploiters. The American Naturalist 174 (2009) 780–794. | DOI
, and ,The fundamental role of competition in the ecology and evolution of mutualisms. Ann NY Acad Sci. 1256 (2012) 66–88. | DOI
, and ,B. Perthame, Transport Equations in Biology. Birkhouser Verlag (2007). | MR | Zbl
B. Perthame and M. Gauduchon, Survival thresholds and mortality rates in adaptive dynamics: conciliating deterministic and stochastic simulations. IMA J. Math. Med. Biology (2009). | MR | Zbl
H.Smith and P. Waltman. The Theory of the Chemostat. Dynamics of Microbial Competition. Cambridge University Press (1995). | MR | Zbl
A consumer-resource approach to the density-dependent population dynamics of mutualism. Ecology 91 (2010) 1286–95. | DOI
and .Mutualisms in a changing world: an evolutionary perspective. Ecol. Lett. 13 (2010) 1459–1474. | DOI
, , , and ,Qualitative behavior of n-dimensional ratio-dependent predator-prey systems. Appl. Math. Comput. 199 (2008) 535–546. | MR | Zbl
andCellulose degradation in anaerobic environments. Annu. Rev. Microb. 49 (1995) 399–426. | DOI
,Microbial Cellulose Utilization: Fundamentals and Biotechnology. Microbiol. Molecular Biol. Rev. 66 (2002) 506–577. | DOI
, , and ,G.F. Lawler, Introduction to Stochastic Processes. Chapman and Hall/CRC (1995). | MR | Zbl
Introduction to stochastic models for evolution. Markov Process Relat. Fields 15 (2009) 259–264. | MR | Zbl
,How should we define ’fitness’ for general ecological scenarios? Trends Ecol. Evol. 7 (1992) 198–202. | DOI
, and ,J.A.J. Metz, S.A.H. Geritz, G. Meszena, F.J.A. Jacobs and J.S. van Heerwaarden, Adaptive dynamics, a geometrical study of the consequences of nearly faithful reproduction. In Stochastic and spatial structures of dynamical systems. Amsterdam (1995) 183–231, Konink. Nederl. Akad. Wetensch. Verh. Afd. Natuurk. Eerste Reeks, 45. North-Holland, Amsterdam (1996). | MR | Zbl
Experiments with the Chemostat on Spontaneous Mutations of Bacteria. PNAS 36 (1950) 708–719. | DOI
and ,Kin competition and the evolution of cooperation. Trends Ecol. Evol. 24 (2009) 370–7. | DOI
and .Long time evolution of populations under selection and rare mutations. Acta Appl. Math. 114 (2011) 1–14. | DOI | MR | Zbl
,H.M. Taylor and S. Karlin, An introduction to Stochastic Modeling. Academic Press (1998). | MR | Zbl
Hopf bifurcations in competitive three-dimensional Lotka-Volterra systems. Dyn. Stab. Syst. 8 (1993) 189–217. | MR | Zbl
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