Limits...
The Biokinetic Spectrum for Temperature.

Corkrey R, McMeekin TA, Bowman JP, Ratkowsky DA, Olley J, Ross T - PLoS ONE (2016)

Bottom Line: We found another peak at 67°C and a steady decline in maximum rates thereafter.We used a thermodynamic model to recover the Δ-shape, suggesting that the growth rate limits arise from a trade-off between activity and stability of proteins.The spectrum provides underpinning principles that will find utility in models concerned with the thermal responses of biological processes.

View Article: PubMed Central - PubMed

Affiliation: Tasmanian Institute of Agriculture / School of Land and Food, University of Tasmania, Hobart, Tasmania, Australia.

ABSTRACT
We identify and describe the distribution of temperature-dependent specific growth rates for life on Earth, which we term the biokinetic spectrum for temperature. The spectrum has the potential to provide for more robust modeling in thermal ecology since any conclusions derived from it will be based on observed data rather than using theoretical assumptions. It may also provide constraints for systems biology model predictions and provide insights in physiology. The spectrum has a Δ-shape with a sharp peak at around 42°C. At higher temperatures up to 60°C there was a gap of attenuated growth rates. We found another peak at 67°C and a steady decline in maximum rates thereafter. By using Bayesian quantile regression to summarise and explore the data we were able to conclude that the gap represented an actual biological transition between mesophiles and thermophiles that we term the Mesophile-Thermophile Gap (MTG). We have not identified any organism that grows above the maximum rate of the spectrum. We used a thermodynamic model to recover the Δ-shape, suggesting that the growth rate limits arise from a trade-off between activity and stability of proteins. The spectrum provides underpinning principles that will find utility in models concerned with the thermal responses of biological processes.

No MeSH data available.


Related in: MedlinePlus

Thermodynamic parameter trends.The parameter values for quantile curves versus the midpoint of the temperature bin. The posterior mean values are shown according to their respective quantiles. The numbers at the top and bottom of each plot are the temperature bins for the plots shown in Figs 3–6. For simplicity we concentrate on the 97.5% quantile. The 97.5% quantile for the a parameter remains steady until the upper bound reaches 60°C above which it declines until the lower bound reached 60°C; b remains steady until the upper bound reaches 75°C (lower bound 45°C) above which it declines until the lower bound reaches 60°C; c declines gradually until the upper bound reaches 75°C (lower bound 45°C) above which it rose, then dips between 60°C and above; while d rises to a peak at 33°C (lower bound 7.5°C) then dips until 42.5°C (lower bound 12.5°C) above which it rises, then remains steady after 60°C (lower bound 30°C).
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pone.0153343.g007: Thermodynamic parameter trends.The parameter values for quantile curves versus the midpoint of the temperature bin. The posterior mean values are shown according to their respective quantiles. The numbers at the top and bottom of each plot are the temperature bins for the plots shown in Figs 3–6. For simplicity we concentrate on the 97.5% quantile. The 97.5% quantile for the a parameter remains steady until the upper bound reaches 60°C above which it declines until the lower bound reached 60°C; b remains steady until the upper bound reaches 75°C (lower bound 45°C) above which it declines until the lower bound reaches 60°C; c declines gradually until the upper bound reaches 75°C (lower bound 45°C) above which it rose, then dips between 60°C and above; while d rises to a peak at 33°C (lower bound 7.5°C) then dips until 42.5°C (lower bound 12.5°C) above which it rises, then remains steady after 60°C (lower bound 30°C).

Mentions: We plotted the quantile curve parameters for the same ranges in Fig 7. Although complex, examination of their trends proved to be of interest. Below, the b parameter can be related to the how fast the maximum growth rates increased with increase in temperature, while the d parameter corresponded to how rapidly the maximum growth rates reduced with increasing temperature. To simplify the interpretation we just discuss here the 97.5% quantile. The 97.5% quantile for the a parameter remained steady until the upper bound reached 60°C above which it declined until the lower bound reached 60°C; b remained steady until the upper bound reached 75°C (lower bound 45°C) above which it declined until the lower bound reaches 60°C; c declined gradually until the upper bound reached 75°C (lower bound 45°C) above which it rose, then dipped between 60°C and above; while d rose to a peak at 33°C (lower bound 7.5°C) then dipped until 42.5°C (lower bound 12.5°C) above which it rose, then remaining steady after 60°C (lower bound 30°C). These patterns indicated the effect of the MTG as it was gradually included in bins and then excluded again and suggested that the MTG indeed represented an actual biological transition. The MTG is a region that separates psychrophile-mesophile and thermophile-hyperthermophile strains, each of which groups is internally consistent but differed one from another.


The Biokinetic Spectrum for Temperature.

Corkrey R, McMeekin TA, Bowman JP, Ratkowsky DA, Olley J, Ross T - PLoS ONE (2016)

Thermodynamic parameter trends.The parameter values for quantile curves versus the midpoint of the temperature bin. The posterior mean values are shown according to their respective quantiles. The numbers at the top and bottom of each plot are the temperature bins for the plots shown in Figs 3–6. For simplicity we concentrate on the 97.5% quantile. The 97.5% quantile for the a parameter remains steady until the upper bound reaches 60°C above which it declines until the lower bound reached 60°C; b remains steady until the upper bound reaches 75°C (lower bound 45°C) above which it declines until the lower bound reaches 60°C; c declines gradually until the upper bound reaches 75°C (lower bound 45°C) above which it rose, then dips between 60°C and above; while d rises to a peak at 33°C (lower bound 7.5°C) then dips until 42.5°C (lower bound 12.5°C) above which it rises, then remains steady after 60°C (lower bound 30°C).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4835062&req=5

pone.0153343.g007: Thermodynamic parameter trends.The parameter values for quantile curves versus the midpoint of the temperature bin. The posterior mean values are shown according to their respective quantiles. The numbers at the top and bottom of each plot are the temperature bins for the plots shown in Figs 3–6. For simplicity we concentrate on the 97.5% quantile. The 97.5% quantile for the a parameter remains steady until the upper bound reaches 60°C above which it declines until the lower bound reached 60°C; b remains steady until the upper bound reaches 75°C (lower bound 45°C) above which it declines until the lower bound reaches 60°C; c declines gradually until the upper bound reaches 75°C (lower bound 45°C) above which it rose, then dips between 60°C and above; while d rises to a peak at 33°C (lower bound 7.5°C) then dips until 42.5°C (lower bound 12.5°C) above which it rises, then remains steady after 60°C (lower bound 30°C).
Mentions: We plotted the quantile curve parameters for the same ranges in Fig 7. Although complex, examination of their trends proved to be of interest. Below, the b parameter can be related to the how fast the maximum growth rates increased with increase in temperature, while the d parameter corresponded to how rapidly the maximum growth rates reduced with increasing temperature. To simplify the interpretation we just discuss here the 97.5% quantile. The 97.5% quantile for the a parameter remained steady until the upper bound reached 60°C above which it declined until the lower bound reached 60°C; b remained steady until the upper bound reached 75°C (lower bound 45°C) above which it declined until the lower bound reaches 60°C; c declined gradually until the upper bound reached 75°C (lower bound 45°C) above which it rose, then dipped between 60°C and above; while d rose to a peak at 33°C (lower bound 7.5°C) then dipped until 42.5°C (lower bound 12.5°C) above which it rose, then remaining steady after 60°C (lower bound 30°C). These patterns indicated the effect of the MTG as it was gradually included in bins and then excluded again and suggested that the MTG indeed represented an actual biological transition. The MTG is a region that separates psychrophile-mesophile and thermophile-hyperthermophile strains, each of which groups is internally consistent but differed one from another.

Bottom Line: We found another peak at 67°C and a steady decline in maximum rates thereafter.We used a thermodynamic model to recover the Δ-shape, suggesting that the growth rate limits arise from a trade-off between activity and stability of proteins.The spectrum provides underpinning principles that will find utility in models concerned with the thermal responses of biological processes.

View Article: PubMed Central - PubMed

Affiliation: Tasmanian Institute of Agriculture / School of Land and Food, University of Tasmania, Hobart, Tasmania, Australia.

ABSTRACT
We identify and describe the distribution of temperature-dependent specific growth rates for life on Earth, which we term the biokinetic spectrum for temperature. The spectrum has the potential to provide for more robust modeling in thermal ecology since any conclusions derived from it will be based on observed data rather than using theoretical assumptions. It may also provide constraints for systems biology model predictions and provide insights in physiology. The spectrum has a Δ-shape with a sharp peak at around 42°C. At higher temperatures up to 60°C there was a gap of attenuated growth rates. We found another peak at 67°C and a steady decline in maximum rates thereafter. By using Bayesian quantile regression to summarise and explore the data we were able to conclude that the gap represented an actual biological transition between mesophiles and thermophiles that we term the Mesophile-Thermophile Gap (MTG). We have not identified any organism that grows above the maximum rate of the spectrum. We used a thermodynamic model to recover the Δ-shape, suggesting that the growth rate limits arise from a trade-off between activity and stability of proteins. The spectrum provides underpinning principles that will find utility in models concerned with the thermal responses of biological processes.

No MeSH data available.


Related in: MedlinePlus