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

Fitted quantile curves for strains by respiration status.Fitted quantile curves for strains by respiration status. Shown are the observed data and 95% quantile curves for each group.
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pone.0153343.g008: Fitted quantile curves for strains by respiration status.Fitted quantile curves for strains by respiration status. Shown are the observed data and 95% quantile curves for each group.

Mentions: We then examined whether the results might vary by metabolic status or trophic status (Fig 8). After grouping the strains by Topt ≤ 50 and Topt > 50 the descending curve showed two minor peaks with one consisting almost entirely of anaerobes so we also divided the anaerobes into two further groups. Examination of the b and d parameters (Table 4) showed that, after disregarding differences between the ≤ 50 and > 50 groups, that b parameter had very few significant differences apart from the ≤ 50 group between the aerobes having a slightly lower maximum rate (mean b = 0.0833) than facultative anaerobes (mean b = 0.0897). For the d parameter there was only one significant difference. In summary, we could not distinguish strains on the basis of respiration.


The Biokinetic Spectrum for Temperature.

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

Fitted quantile curves for strains by respiration status.Fitted quantile curves for strains by respiration status. Shown are the observed data and 95% quantile curves for each group.
© Copyright Policy
Related In: Results  -  Collection

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

pone.0153343.g008: Fitted quantile curves for strains by respiration status.Fitted quantile curves for strains by respiration status. Shown are the observed data and 95% quantile curves for each group.
Mentions: We then examined whether the results might vary by metabolic status or trophic status (Fig 8). After grouping the strains by Topt ≤ 50 and Topt > 50 the descending curve showed two minor peaks with one consisting almost entirely of anaerobes so we also divided the anaerobes into two further groups. Examination of the b and d parameters (Table 4) showed that, after disregarding differences between the ≤ 50 and > 50 groups, that b parameter had very few significant differences apart from the ≤ 50 group between the aerobes having a slightly lower maximum rate (mean b = 0.0833) than facultative anaerobes (mean b = 0.0897). For the d parameter there was only one significant difference. In summary, we could not distinguish strains on the basis of respiration.

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