This vignette runs the code to make selected plots from the following papers:
Dick JM, Shock EL. 2011. Calculation of the relative chemical stabilities of proteins as a function of temperature and redox chemistry in a hot spring. PLOS One 6(8): e22782. doi: 10.1371/journal.pone.0022782
Dick JM, Shock EL. 2013. A metastable equilibrium model for the relative abundances of microbial phyla in a hot spring. PLOS One 8(9): e72395. doi: 10.1371/journal.pone.0072395
These plots have been modified from the original figures to make greater use of color.
This vignette was compiled on 2024-03-11 with JMDplots 1.2.19-11 and CHNOSZ 2.1.0-5.
The current OBIGT database in CHNOSZ has updates for the methionine sidechain group from LaRowe and Dick (2012) and the glycine group and protein backbone [UPBB] from Kitadai (2014). In order to reproduce the calculations from the 2011 paper, we start by loading the older values from Dick et al. (2006).
if(packageVersion("CHNOSZ") > "1.4.3") OldAAfile <- "extdata/OBIGT/OldAA.csv" else OldAAfile <- "extdata/OBIGT/OldAA_old.csv"
add.OBIGT(system.file(OldAAfile, package = "JMDplots"))
Link to original figure. The lines are spline fits that represent smooth changes in T and pH that are used for some plots below.
Links to original figures: functional annotations and major phyla.
tab <- round(bison3(), 3)
htmltab <- capture.output(kable(tab, format = "html"))
# make selected values bold
for(i in c(15, 16, 41, 42, 43)) {
htmltab[i] <- gsub('">', '"><b>', htmltab[i], fixed = TRUE)
htmltab[i] <- gsub('</', '</b></', htmltab[i], fixed = TRUE)
}
structure(htmltab, format = "html", class = "knitr_kable")
site1 | site2 | site3 | site4 | site5 | |
---|---|---|---|---|---|
reaction1 | -18.714 | -27.892 | -35.386 | -36.823 | -42.266 |
reaction2 | -18.839 | -27.911 | -35.319 | -36.739 | -42.121 |
reaction3 | -19.113 | -28.051 | -35.349 | -36.749 | -42.053 |
reaction4 | -19.263 | -28.078 | -35.276 | -36.657 | -41.890 |
reaction5 | -19.246 | -28.075 | -35.284 | -36.667 | -41.907 |
Link to original table. These per-residue affinities are expressed as dimensionless values, i.e. A/(2.303RT) where A, R and T stand for chemical affinity, gas constant, and temperature in Kelvin. The affinities are all negative, but are higher (more positive) for the reaction to form model protein 1 at sites 1 and 2 and to form model protein 4 at sites 3–5.
Link to original figure. The first plot is a theoretical predominance diagram for the overall model proteins from each site as a function of temperature and activity of hydrogen. The dotted line is placed so that it passes through the stability fields of the proteins at approximately the actual temperatures where they are located in the hot spring. This is Equation 2 in the 2011 paper: logaH2 = -11 + (3/40) T,°C. The second plot shows the effect of changing both temperature and pH (interpolated from measured values) together with logaH2 (from the line in the first plot) on the predicted relative abundances of the proteins in metastable equilibrium.
Link to original figure. The first row of plots is made using group additivity parameters from Dick et al. (2006); the second is made with updates for the methionine sidechain from LaRowe and Dick (2012) and the glycine sidechain and protein backbone group from Kitadai (2014). Note the appearance of a stability field for site 3 for some classes of proteins. The remaining figures in this vignette use the updated parameters (i.e. the current default values in OBIGT).
Link to original figure. The top row shows calculated relative abundances of the phyla based on metastable equilibrium among the model proteins as a function of logaH2. The bottom row shows the Gibbs energy of transformation (ΔGtr) between the equilibrium and actual relative abundances. Lines are drawn at values calculated with Equation 2 (see above) and at the minimum ΔGtr, i.e. the optimal values of logaH2 for the model. Plots are made for only three sites, but the function returns results for all five sites, which are used below.
Links to original figures: 2011, 2013 The plot on the right, from the 2011 paper, shows effective values of logaH2 calculated from oxidation-reduction potential (ORP) measurements in 2009 and sulfate/sulfide ratios and dissolved oxygen concentrations measured in 2005. The different redox reactions are clearly not in mutual equilibrium, but they all indicate relatively oxidizing conditions at lower temperatures. Equation 2 is derived from the relative stabilities of proteins across sites (see above). The plot on the right, from the 2013 paper, shows the results of optimizing the metastable equilibrium model for phylum abundances within sites.
Dick JM, LaRowe DE, Helgeson HC. 2006. Temperature, pressure, and electrochemical constraints on protein speciation: Group additivity calculation of the standard molal thermodynamic properties of ionized unfolded proteins. Biogeosciences 3(3): 311–336. doi: 10.5194/bg-3-311-2006
Kitadai N. 2014. Thermodynamic prediction of glycine polymerization as a function of temperature and pH consistent with experimentally obtained results. Journal of Molecular Evolution 78(3-4): 171–187. doi: 10.1007/s00239-014-9616-1
LaRowe DE, Dick JM. 2012. Calculation of the standard molal thermodynamic properties of crystalline peptides. Geochimica et Cosmochimica Acta 80: 70–91. doi: 10.1016/j.gca.2011.11.041