J.A. (Alberto) Nakauma Gonzalez, MSc
Evolution of the Bacterial Chemotaxis Network
Motile bacteria are able to direct their movement according to chemical gradients in the surrounding environment. The signal-transduction network responsible for this behaviour is well characterized, but few studies have examined its evolutionary dynamics using simple fitness functions. We examine this process and the emerging phenotypic properties. The analysis is built on a biochemical-mathematical model of the chemotaxis network in Escherichia coli that is embedded in a simulation of spatial movement. Based on the chemotaxis performance (accumulation rate of resources), we reconstruct the fitness landscape with thousands of potential genotypes. The project is initially concentrated on the analysis of adaptive walks through directed evolution. Then, we analyze the genotype-phenotype complex interaction and the topology of the fitness landscape.
Reconstructing the genotype-to-fitness map for the bacterial chemotaxis network and its emergent behavioural phenotypesNakauma Gonzalez, A. & van Doorn, G. S., 7-May-2017, In : Journal of Theoretical Biology. 420, p. 200-212 13 p.
Research output: Contribution to journal › Article › Academic › peer-review
- Nakauma-Gonzalez, A. & Zarate-segur, P., 14-Mar-2012, Biogas. Kumar, S. (ed.). InTech, Chapter 6
Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic
- Sander van Doorn (Speaker), Alberto Nakauma Gonzalez (Speaker)Jul-2015
Activity: Talk or presentation › Professional