Title
Identifying Competition Phenotypes in Synthetic Biochemical Circuits
Abstract
Synthetic gene circuits require cellular resources, which are often limited. This leads to competition for resources by different genes, which alter a synthetic genetic circuit’s behavior. However, the manner in which competition impacts behavior depends on the identity of the “bottleneck” resource, which might be difficult to discern from input-output data. In this letter, we aim at classifying the mathematical structures of resource competition in biochemical circuits. We find that some competition structures can be distinguished by their response to different competitors or resource levels. Specifically, we show that some response curves are always linear, convex, or concave. Furthermore, high levels of certain resources protect the behavior from low competition, while others do not. We also show that competition phenotypes respond differently to various interventions. Such differences can be used to eliminate candidate competition mechanisms when constructing models based on given data. On the other hand, we show that different networks can display mathematically equivalent competition phenotypes.
Year
DOI
Venue
2023
10.1109/LCSYS.2022.3186840
IEEE Control Systems Letters
Keywords
DocType
Volume
Resource competition,model discrimination,synthetic biology,system identification
Journal
7
ISSN
Citations 
PageRank 
2475-1456
0
0.34
References 
Authors
1
3
Name
Order
Citations
PageRank
Muhammad Ali Al-Radhawi100.34
Domitilla Del Vecchio251557.22
Eduardo D. Sontag33134781.88