ArticlePloS one2014
Protein thermodynamics can be predicted directly from biological growth rates.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Activation energies of both constructive and destructive cellular biochemistry determine maximum growth temperature in archaea.Communications biology · 2025Article
- Insights and challenges of insecticide resistance modelling in malaria vectors: a review.Parasites & vectors · 2024Review
- Diminished growth and vitality in juvenile Hydractinia echinata under anticipated future temperature and variable nutrient conditions.Scientific reports · 2021Article
- Phytoplankton thermal responses adapt in the absence of hard thermodynamic constraints.Evolution; international journal of organic evolution · 2020Article
- Short-Term Temperature Response of Leaf Respiration in Different Subtropical Urban Tree Species.Frontiers in plant science · 2020Article
- Experimental evolution of phytoplankton fatty acid thermal reaction norms.Evolutionary applications · 2019Article
- Thermosensitivity of growth is determined by chaperone-mediated proteome reallocation.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Increased Biomass Production by Mesophilic Food-Associated Bacteria through Lowering the Growth Temperature from 30°C to 10°C.Applied and environmental microbiology · 2016Article
- Temperature Sensitivity as a Microbial Trait Using Parameters from Macromolecular Rate Theory.Frontiers in microbiology · 2016Article
- The Biokinetic Spectrum for Temperature.PloS one · 2016Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Life on Earth is capable of growing from temperatures well below freezing to above the boiling point of water, with some organisms preferring cooler and others hotter conditions. The growth rate of each organism ultimately depends on its intracellular chemical reactions. Here we show that a thermodynamic model based on a single, rate-limiting, enzyme-catalysed reaction accurately describes population growth rates in 230 diverse strains of unicellular and multicellular organisms. Collectively these represent all three domains of life, ranging from psychrophilic to hyperthermophilic, and including the highest temperature so far observed for growth (122 °C). The results provide credible estimates of thermodynamic properties of proteins and obtain, purely from organism intrinsic growth rate data, relationships between parameters previously identified experimentally, thus bridging a gap between biochemistry and whole organism biology. We find that growth rates of both unicellular and multicellular life forms can be described by the same temperature dependence model. The model results provide strong support for a single highly-conserved reaction present in the last universal common ancestor (LUCA). This is remarkable in that it means that the growth rate dependence on temperature of unicellular and multicellular life forms that evolved over geological time spans can be explained by the same model.
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