Title: Strategies for analysis of a complex regulatory network in E' coli the acid stress response
1Strategies for analysis of a complex regulatory
network in E. coli - the acid stress response
Neil Burton Matt Johnson Peter Lund
2My definition of the stress response adaptive
response of an entity to any event which
threatens its optimal existence
3What properties should a well-adapted (or
well-engineered) stress response system have?
- It has to be able to
- Detect the stress
- Convert the detection into a signal
- Respond appropriately (i.e., response must
ameliorate the stress in some way) - Respond at an appropriate level
- This will include ending the response once the
stress has ended
4A good understanding of a network implies
- Understanding of its components
- Understanding how the components interact with
each other (including dynamically) - Understanding their adaptive value for the
entity - Understanding how the network may evolve
5Technical approaches
- omics approaches how do the different omes
change during stress? - Analysis of known genes in detail in wt and
different mutant backgrounds - esp. time series - Comparisons between related strains that respond
differently to same stress - Evolution of novel stress response phenotypes in
the lab
6Acid resistance (AR) and enteric bacteria
- Important for passage through stomach (pH 1-3)
- E .coli can survive remarkably well in conditions
of high acidity (ltpH2.5) - Wide range of genes which protect against acid
are induced by exposure to mild acid stress (pH
5.7)
7Mild acid pH 5.7
- Aims
- Describe and understand the dynamics of the
system - Identify novel components and their interactions
- Understand the adaptive value of the network and
its components - Understand how the network might evolve given new
selective constraints - Choice of models
- E. coli K-12 MG1655
- E. coli O157H7 (Sakai)
P
EvgA
EvgS
RpoS
ydeO
gadE
gadBC
Other cytoplasmic and periplasmic components
8Lux plasmid reporter system
Promoter (intergenic region 100-200bp)
- Non-invasive
- Automation for high temporal resolution
Stops, RBS
P. luminescens LuxCDABE Operon
pLUX
Light
Low copy pSC101 replication
9Questions
- Does this system give us usable data?
- Can it be used to explore different mutant
backgrounds/different strains? - Can we uncover novel aspects of the network using
this approach?
10General messages
- Promoter probes using lux/gfp provide
reproducible, high density time-series data,
suitable for model fitting - They can be used to identify potential new links
in regulatory networks - However, the outputs dont necessarily map
directly onto transcriptional outputs - Lab-based evolution and whole genome resequencing
has great potential for understanding the nature
and evolution of stress response systems (and
other networks) at the whole organism level
11Matt Neil
UoB Nick LomanDov Stekel
George Weinstock, Washington Uni NIH