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

Quantile curves for temperature bins 40–70, …, 59–89°.Shown are the observed rates for all strains plotted as separate overlapping bins based on the observed strain Topt. The figure also shows the fitted quantile curves for temperature bins 40–70, …, 59–89°.
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pone.0153343.g005: Quantile curves for temperature bins 40–70, …, 59–89°.Shown are the observed rates for all strains plotted as separate overlapping bins based on the observed strain Topt. The figure also shows the fitted quantile curves for temperature bins 40–70, …, 59–89°.

Mentions: To test if there may have been additional groups present with growth rates that varied on narrower temperature ranges we calculated the quantiles for a series of overlapping temperature ranges each of width 30 degrees and each displaced by 1 degree above the previous one, as shown in Figs 3, 4, 5 and 6. These figures show the consistency of the fitted quantile curves over small temperature intervals on each side of the MTG. A width of 30 degrees ensured a range of strains would be included in each. The quantile curves conformed well to the data up to the lower bound of 37°C. Thereafter the secondary peak intruded which caused the quantiles to stretch out. From 46°C onwards the quantiles again more naturally fitted the data. Trends in the quantile curve parameters indicated the effect of the MTG as it was gradually included in bins and then excluded again, suggesting that the MTG represented an actual biological transition rather than a statistical anomaly.


The Biokinetic Spectrum for Temperature.

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

Quantile curves for temperature bins 40–70, …, 59–89°.Shown are the observed rates for all strains plotted as separate overlapping bins based on the observed strain Topt. The figure also shows the fitted quantile curves for temperature bins 40–70, …, 59–89°.
© Copyright Policy
Related In: Results  -  Collection

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

pone.0153343.g005: Quantile curves for temperature bins 40–70, …, 59–89°.Shown are the observed rates for all strains plotted as separate overlapping bins based on the observed strain Topt. The figure also shows the fitted quantile curves for temperature bins 40–70, …, 59–89°.
Mentions: To test if there may have been additional groups present with growth rates that varied on narrower temperature ranges we calculated the quantiles for a series of overlapping temperature ranges each of width 30 degrees and each displaced by 1 degree above the previous one, as shown in Figs 3, 4, 5 and 6. These figures show the consistency of the fitted quantile curves over small temperature intervals on each side of the MTG. A width of 30 degrees ensured a range of strains would be included in each. The quantile curves conformed well to the data up to the lower bound of 37°C. Thereafter the secondary peak intruded which caused the quantiles to stretch out. From 46°C onwards the quantiles again more naturally fitted the data. Trends in the quantile curve parameters indicated the effect of the MTG as it was gradually included in bins and then excluded again, suggesting that the MTG represented an actual biological transition rather than a statistical anomaly.

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