Time series run variant
New to topics? Read the documentation here!
To modify the nutrients as a function of time, with To select a time series we can use something like:
As mentioned in
python runscripts/manual/runSim.py --variant nutrientTimeSeries 25 25
python runscripts/manual/runSim.py --help
, nutrientTimeSeries
is one of the choices from github.com/CovertLab/WholeCellEcoliRelease/blob/7e4cc9e57de76752df0f4e32eca95fb653ea64e4/models/ecoli/sim/variants/__init__.py#L5725 25
means to start from index 25 and also end at 25, so running just one simulation. 25 27
would run 25 then 26 and then 27 for example.The timeseries with index 25 is
so we understand that it starts with extra amino acids in the medium, which benefit the cell, and half way through those are removed at time 1200s = 20 minutes. We would therefore expect the cell to start expressing amino acid production genes exactly at that point.
reconstruction/ecoli/flat/condition/timeseries/000025_cut_aa.tsv
and contains
"time (units.s)" "nutrients"
0 "minimal_plus_amino_acids"
1200 "minimal"
nutrients
likely means condition
in that file however, see bug report with 1 1
failing: github.com/CovertLab/WholeCellEcoliRelease/issues/24When we do this the simulation ends in:
so we see that the doubling time was faster than the one with minimal conditions of
Simulation finished:
- Length: 0:34:23
- Runtime: 0:08:03
0:42:49
, which makes sense, since during the first 20 minutes the cell had extra amino acid nutrients at its disposal.The output directory now contains simulation output data under
out/manual/nutrientTimeSeries_000025/
. Let's run analysis and plots for that:
python runscripts/manual/analysisVariant.py &&
python runscripts/manual/analysisCohort.py --variant 25 &&
python runscripts/manual/analysisMultigen.py --variant 25 &&
python runscripts/manual/analysisSingle.py --variant 25
We can now compare the outputs of this run to the default
wildtype_000000
run from Section "Install and first run".out/manual/plotOut/svg_plots/massFractionSummary.svg
: because we now have two variants in the sameout/
folder,wildtype_000000
andnutrientTimeSeries_000025
, we now see a side by side comparision of both on the same graph!The run variant where we started with amino acids initially grows faster as expected, because the cell didn't have to make it's own amino acids, so growth is a bit more efficient.Then, at 20 minutes, which is about 0.3 hours, we see that the cell starts growing a bit less fast as the slope of the curve decreases a bit, because we removed that free amino acid supply.Figure 1. Minimal condition vs amino acid cut mass fraction plot. Source. From fileout/manual/plotOut/svg_plots/massFractionSummary.svg
.
The following plots from under
out/manual/wildtype_000000/000000/{generation_000000,nutrientTimeSeries_000025}/000000/plotOut/svg_plots
have been manually joined side-by-side with:
for f in out/manual/wildtype_000000/000000/generation_000000/000000/plotOut/svg_plots/*; do
echo $f
svg_stack.py \
--direction h \
out/manual/wildtype_000000/000000/generation_000000/000000/plotOut/svg_plots/$(basename $f) \
out/manual/nutrientTimeSeries_000025/000000/generation_000000/000000/plotOut/svg_plots/$(basename $f) \
> tmp/$(basename $f)
done
External exchange fluxes of amino acids
. Source. aaExchangeFluxes.svg
:- default: no exchanges
- amino acid cut: for all graphs except phenylalanine (PHE), either the cell was intaking the AA (negative flux), and that intake goes to 0 when the supply is cut, or the flux is always 0.For PHE however, the flux is at all times, except shortly after the cut. Why? And why there was no excretion on the default conditions?
mRNA count of highly expressed mRNAs
. Source. From file expression_rna_03_high.svg
. Each of the entries is a gene using the conventional gene naming convention of xyzW
, e.g. here's the BioCyc for the first entry, tufA
: biocyc.org/gene?orgid=ECOLI&id=EG11036, which comments Elongation factor Tu (EF-Tu) is the most abundant protein in E. coli.and
In E. coli, EF-Tu is encoded by two genes, tufA and tufB. What they seem to mean is that tufA and tufB are two similar molecules, either of which can make up the EF-Tu of the E. Coli, which is an important part of translation.
External exchange fluxes
. Source. mediaExcange.svg
: this one is similar to aaExchangeFluxes.svg
, but it also tracks other substances. The color version makes it easier to squeeze more substances in a given space, but you lose the shape of curves a bit. The title seems reversed: red must be excretion, since that's where glucose (GLC) is.The substances are different between the default and amino acid cut graphs, they seem to be the most exchanged substances. On the amino cut graph, first we see the cell intaking most (except phenylalanine, which is excreted for some reason). When we cut amino acids, the uptake of course stops.