(116b) Systematic Analysis of Host – Genetic Circuit Interaction Reveals Host-Specific Epistatic Effects On Gene Expression in E. Coli

Cardinale Stefano, PhD

Postdoctoral researcher

Prof. Adam Arkin Laboratory

Lawrence Berkeley National Laboratory – Physical Biosciences
Division

Department of Bioengineering - UCB

Berkeley, CA 94720

Email:   scardinale@lbl.gov

tel. 510 –
643 - 5683

Systematic analysis of host – genetic circuit interaction reveals
host-specific epistatic effects on gene expression in E. coli

The genotypic and
phenotypic diversity among organisms, or even cells in the same population,
often undermines the function of synthetic genetic devices. In addition, advances
in genetic engineering, such as recombineering or in vivo evolution, enable fast modification of dozens and possibly
hundreds of genes at once in bacteria. The efficient manipulation of the host
genome can potentially have a strong impact on global gene expression and regulation,
and affect the output of genetic circuits designed for engineering cellular
functions.

We are investigating how
the genotype of the host, through phenotypical and regulatory factors, affects the
output of genetic circuits in the bacterium E.
coli. Synthetic genetic circuits comprising three bright, fast-folding
reporters, expressed from constitutive promoters, are used as model. By using a
comprehensive library of single-gene deletions (the KEIO collection), we measured
the impact of each gene on global and sequence-specific levels of activity of
our model circuits (Fig. 1A). We use high-throughput strain handling and data
acquisition to measure circuit output and cell-cell variability (noise) in each
strain of this collection of knockouts, and mathematical models to fit measures
of fluorescence and OD (Fig. 1B).

We first analyzed several
parent strains of E. coli and found that
the output of all expression units on our model circuit strongly depends on the
specific host in which they function (Fig. 2A). We have measured several
cellular physiological factors, such as the rate of growth or the ribosome
content, and found good correlation between expression levels and these for all
but the DH1 parent strain of E. coli (Fig.
2B).

We continued our
investigation starting with a group
of 90 KEIO strains and found that the activity of our model circuits is not
invariant to even single-gene differences in the host genetic make-up. We identified
various genes that, although have no known function in gene expression
regulation, significantly affect circuit activity (Fig. 3). In particular, knockout
of several two-component signal transduction pathways, such as the genes qseB,
creC, zraS and atoS, significantly decreased circuit performance at least 2-fold.
Alternatively, circuit output in deletion backgrounds for some metabolic
enzymes, such as tktA, or the global transcriptional regulator narL was
increased 2-fold or more (Fig. 3).

By using different circuit
configurations, and their correlation, we are in the process of identifying
sequence-specific and global effects in these initial 90 knockout backgrounds. In
addition, we are expanding our analysis to include all ~3800 strains of the
KEIO collection, which is elucidating the role of each gene of the E. coli genome in cellular homeostasis
from the view-point of synthetic genetic circuit functionality.

We believe that our
systematic analysis of host-circuit contextual effects will help elucidate novel
epistatic interactions in E. coli,
better understand the genotype-to-phenotype association and improve
predictability of forward engineering with synthetic devices in synthetic
biology.

Fig. 1. A systematic
analysis of host-genetic circuit interaction.

Fig. 2.  Gene expression is strongly affected by
the specific host wild-type strain of E.
coli.

Fig. 3.  Single-gene deletions in the host genome
could impact the level of gene expression.