PubMedCrossRef 40 Grimson MJ, Barker

GC: A continuum mod

PubMedCrossRef 40. Grimson MJ, Barker

GC: A continuum model for the growth of find more bacterial colonies on a surface. J Phys A: Math Gen 1993, 26:5645–5654.CrossRef 41. Kreft JU, Booth G, Wimpenny JWT: BacSim, a simulator for individual-based modelling of bacterial colony growth. Microbiology 1998, 144:3275–3287.PubMedCrossRef 42. Panikov NS, Belova SE, Dorofeev AG: Nonlinearity in the growth of bacterial colonies: conditions and causes. Microbiology (Mikrobiologiya) 2002, 71:50–56. 43. Sekowska A, Masson JB, Celani A, Danchin A, Vergassola M: Repulsion and metabolic switches in the collective behavior of bacterial colonies. Biophys J 2009, 97:688–698.PubMedCrossRef Selleckchem Luminespib 44. Miyata S, Sasaki T: Asymptotic analysis of a chemotactic model of bacteria colonies. Math Biosci 2006, 201:184–194.PubMedCrossRef 45. Cho HJ, Jönsson H, Campbell K, Melke Citarinostat purchase P, Williams JW, Jedynak B, Stevens AM, Groisman A, Levchenko A: Self-organization in high-density bacterial colonies: efficient crowd control. PLoS Biol 2007, 5:e302.PubMedCrossRef 46. Levine H, Ben-Jacob E: Physical schemata underlying biological pattern formation – examples, issues and strategies. Phys Biol 2004, 1:P14-P22.PubMedCrossRef 47. Pipe L, Grimson MJ: Spatial-temporal modelling of bacterial colony growth on solid media. Mol BioSyst 2008, 4:192–198.PubMedCrossRef 48. Odagiri K, Takatsuka K:

Threshold effect with stochastic fluctuation in bacteria-colony-like proliferation dynamics as analyzed through a comparative study of reaction-diffusion

equations and cellular automata. Phys Rev E 2009, 79:-026202. 49. Ayati BP: A structured-population model of Proteus mirabilis swarm-colony development. J Math Biol 2006, 52:93–114.PubMedCrossRef 50. Grammaticos B, Badoual M, Aubert M: An (almost) solvable model for bacterial pattern formation. Physica D 2007, 234:90–97.CrossRef 51. Arouh S: Analytic model for ring pattern formation by bacterial swarmers. Phys Rev E 2001, 63:031908.CrossRef 52. Python programming language – official website [http://​www.​python.​org] Authors’ contributions JC and IP contributed equally to the designing and performing the experiments and interpreting their results; FC developed the formal model and participated in writing the paper; AB participated in experiments and data interpretation and provided Montelukast Sodium basic technical support; AM participated in study design and data interpretation and drafted the paper. All authors have read and approved the final manuscript.”
“Background Nitrogen is incorporated into glutamate and glutamine which form the major biosynthetic donors for all other nitrogen containing components in a cell. Glutamine is a source of nitrogen for the synthesis of purines, pyrimidines, a number of amino acids, glucosamine and ρ-benzoate, whereas glutamate provides nitrogen for most transaminases [1] and is responsible for 85% of nitrogenous compounds in a cell [2]. In most prokaryotes, there are two major routes for ammonium assimilation.

Leave a Reply

Your email address will not be published. Required fields are marked *

*

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>