RT Journal Article
T1 Dealing with the genetic load in bacterial synthetic biology circuits: convergences with the Ohm's law.
A1 Carbonell-Ballesteros, Max
A1 García-Ramallo, Eva
A1 Montañez, Raúl
A1 Rodríguez-Caso, Carlos Francisco
A1 Macía, Javier
K1 Biología sintética
K1 Bioinformática
AB Synthetic biology seeks to envision living cells as a matter of engineering. However, increasing evidence suggests that the genetic load imposed by the incorporation of synthetic devices in a living organism introduces a sort of unpredictability in the design process. As a result, individual part characterization is not enough to predict the behavior of designed circuits and thus, a costly trial-error process is eventually required. In this work, we provide a new theoretical framework for the predictive treatment of the genetic load. We mathematically and experimentally demonstrate that dependences among genes follow a quantitatively predictable behavior. Our theory predicts the observed reduction of the expression of a given synthetic gene when an extra genetic load is introduced in the circuit. The theory also explains that such dependence qualitatively differs when the extra load is added either by transcriptional or translational modifications. We finally show that the limitation of the cellular resources for gene expression leads to a mathematical formulation that converges to an expression analogous to the Ohm's law for electric circuits. Similitudes and divergences with this law are outlined. Our work provides a suitable framework with predictive character for the design process of complex genetic devices in synthetic biology.
YR 2015
FD 2015
LK https://hdl.handle.net/10630/32276
UL https://hdl.handle.net/10630/32276
LA eng
NO M. Carbonell-Ballestero, E. Garcia-Ramallo, R. Montañez, C. Rodriguez-Caso, J. Macía, Dealing with the genetic load in bacterial synthetic biology circuits: convergences with the Ohm's law, Nucleic Acids Research, Volume 44, Issue 1, 8 January 2016, Pages 496–507, https://doi.org/10.1093/nar/gkv1280
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026