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Modeling with uncertainty quantification reveals the essentials of a non-canonical algal carbon-concentrating mechanism

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Modeling with uncertainty quantification reveals the essentials of a non-canonical algal carbon-concentrating mechanism. / Steensma, Anne K; Kaste, Joshua A M; Heo, Junoh et al.
In: Plant Physiology, Vol. 197, No. 2, kiae629, 28.02.2025.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Steensma, AK, Kaste, JAM, Heo, J, Orr, DJ, Sung, C-L, Shachar-Hill, Y & Walker, BJ 2025, 'Modeling with uncertainty quantification reveals the essentials of a non-canonical algal carbon-concentrating mechanism', Plant Physiology, vol. 197, no. 2, kiae629. https://doi.org/10.1093/plphys/kiae629

APA

Steensma, A. K., Kaste, J. A. M., Heo, J., Orr, D. J., Sung, C.-L., Shachar-Hill, Y., & Walker, B. J. (2025). Modeling with uncertainty quantification reveals the essentials of a non-canonical algal carbon-concentrating mechanism. Plant Physiology, 197(2), Article kiae629. https://doi.org/10.1093/plphys/kiae629

Vancouver

Steensma AK, Kaste JAM, Heo J, Orr DJ, Sung CL, Shachar-Hill Y et al. Modeling with uncertainty quantification reveals the essentials of a non-canonical algal carbon-concentrating mechanism. Plant Physiology. 2025 Feb 28;197(2):kiae629. Epub 2024 Dec 4. doi: 10.1093/plphys/kiae629

Author

Steensma, Anne K ; Kaste, Joshua A M ; Heo, Junoh et al. / Modeling with uncertainty quantification reveals the essentials of a non-canonical algal carbon-concentrating mechanism. In: Plant Physiology. 2025 ; Vol. 197, No. 2.

Bibtex

@article{8fbac6e9c8a4402998c0ff4ab1117e7a,
title = "Modeling with uncertainty quantification reveals the essentials of a non-canonical algal carbon-concentrating mechanism",
abstract = "The thermoacidophilic red alga Cyanidioschyzon merolae survives its challenging environment likely in part by operating a carbon-concentrating mechanism (CCM). Here, we demonstrated that C. merolae's cellular affinity for CO2 is stronger than the affinity of its rubisco for CO2. This finding provided additional evidence that C. merolae operates a CCM while lacking the structures and functions characteristic of CCMs in other organisms. To test how such a CCM could function, we created a mathematical compartmental model of a simple CCM, distinct from those we have seen previously described in detail. The results of our modeling supported the feasibility of this proposed minimal and non-canonical CCM in C. merolae. To facilitate the robust modeling of this process, we measured and incorporated physiological and enzymatic parameters into the model. Additionally, we trained a surrogate machine-learning model to emulate the mechanistic model and characterized the effects of model parameters on key outputs. This parameter exploration enabled us to identify model features that influenced whether the model met the experimentally derived criteria for functional carbon concentration and efficient energy usage. Such parameters included cytosolic pH, bicarbonate pumping cost and kinetics, cell radius, carboxylation velocity, number of thylakoid membranes, and CO2 membrane permeability. Our exploration thus suggested that a non-canonical CCM could exist in C. merolae and illuminated the essential features generally necessary for CCMs to function.",
author = "Steensma, {Anne K} and Kaste, {Joshua A M} and Junoh Heo and Orr, {Douglas J} and Chih-Li Sung and Yair Shachar-Hill and Walker, {Berkley J}",
year = "2025",
month = feb,
day = "28",
doi = "10.1093/plphys/kiae629",
language = "English",
volume = "197",
journal = "Plant Physiology",
issn = "0032-0889",
publisher = "American Society of Plant Biologists",
number = "2",

}

RIS

TY - JOUR

T1 - Modeling with uncertainty quantification reveals the essentials of a non-canonical algal carbon-concentrating mechanism

AU - Steensma, Anne K

AU - Kaste, Joshua A M

AU - Heo, Junoh

AU - Orr, Douglas J

AU - Sung, Chih-Li

AU - Shachar-Hill, Yair

AU - Walker, Berkley J

PY - 2025/2/28

Y1 - 2025/2/28

N2 - The thermoacidophilic red alga Cyanidioschyzon merolae survives its challenging environment likely in part by operating a carbon-concentrating mechanism (CCM). Here, we demonstrated that C. merolae's cellular affinity for CO2 is stronger than the affinity of its rubisco for CO2. This finding provided additional evidence that C. merolae operates a CCM while lacking the structures and functions characteristic of CCMs in other organisms. To test how such a CCM could function, we created a mathematical compartmental model of a simple CCM, distinct from those we have seen previously described in detail. The results of our modeling supported the feasibility of this proposed minimal and non-canonical CCM in C. merolae. To facilitate the robust modeling of this process, we measured and incorporated physiological and enzymatic parameters into the model. Additionally, we trained a surrogate machine-learning model to emulate the mechanistic model and characterized the effects of model parameters on key outputs. This parameter exploration enabled us to identify model features that influenced whether the model met the experimentally derived criteria for functional carbon concentration and efficient energy usage. Such parameters included cytosolic pH, bicarbonate pumping cost and kinetics, cell radius, carboxylation velocity, number of thylakoid membranes, and CO2 membrane permeability. Our exploration thus suggested that a non-canonical CCM could exist in C. merolae and illuminated the essential features generally necessary for CCMs to function.

AB - The thermoacidophilic red alga Cyanidioschyzon merolae survives its challenging environment likely in part by operating a carbon-concentrating mechanism (CCM). Here, we demonstrated that C. merolae's cellular affinity for CO2 is stronger than the affinity of its rubisco for CO2. This finding provided additional evidence that C. merolae operates a CCM while lacking the structures and functions characteristic of CCMs in other organisms. To test how such a CCM could function, we created a mathematical compartmental model of a simple CCM, distinct from those we have seen previously described in detail. The results of our modeling supported the feasibility of this proposed minimal and non-canonical CCM in C. merolae. To facilitate the robust modeling of this process, we measured and incorporated physiological and enzymatic parameters into the model. Additionally, we trained a surrogate machine-learning model to emulate the mechanistic model and characterized the effects of model parameters on key outputs. This parameter exploration enabled us to identify model features that influenced whether the model met the experimentally derived criteria for functional carbon concentration and efficient energy usage. Such parameters included cytosolic pH, bicarbonate pumping cost and kinetics, cell radius, carboxylation velocity, number of thylakoid membranes, and CO2 membrane permeability. Our exploration thus suggested that a non-canonical CCM could exist in C. merolae and illuminated the essential features generally necessary for CCMs to function.

U2 - 10.1093/plphys/kiae629

DO - 10.1093/plphys/kiae629

M3 - Journal article

C2 - 39656810

VL - 197

JO - Plant Physiology

JF - Plant Physiology

SN - 0032-0889

IS - 2

M1 - kiae629

ER -