A General Model for Seed and Seedling Respiratory Metabolism

Huang, Heng; Ran, Jinzhi; Li, Xiaowei; Wang, Zhiqiang; Chen, Renfei; Wu, Fan; Miao, Yi; Jia, Fang; Niklas, Karl J.; Deng, Jianming

doi:10.1086/707072

Cited by 13 publications

(18 citation statements)

References 32 publications

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“…Detailed descriptions of respiration and body mass measurements can be found in Huang et al . (2020).…”

Section: Methodsmentioning

confidence: 99%

“…With this in mind, we developed a general model to quantify the joint effects of body size and tissue water content on seed and seedling respiratory metabolism based on three fundamental assumptions (Huang et al ., 2020): (1) cellular metabolism ( R c ) is limited by tissue water content, because water is essential to metabolism across all ontogenetic stages and serves as a medium to carry out biochemical reactions such as the decomposition of carbohydrates (Breshears et al ., 2009; Sibly et al ., 2012); (2) the mean rate of metabolic chemical reactions ( μ , s −1 ), which is affected by tissue water content S (i.e. water is the limiting resource), complies with the Michaelis–Menten equation, that is

μ = \frac{μ_{m} S}{K + S}

, where μ m is the maximum reaction rate, and K is water content when the mean reaction rate reaches one‐half of its maximum value; and (3) the rate of change in cellular metabolism with respect to the rate of change in the critical enzymatic reaction is a constant that is

\frac{normald R_{c}}{R_{c} normald μ} = b

.…”

Section: Introductionmentioning

confidence: 99%

“…These assumptions reveal that the mass‐specific respiration rate ( R s , nmol g −1 s −1 ) and the whole‐plant respiration rate ( R , nmol s −1 ) can be expressed as (Eqns 1 and 2):

R_{normals} = R_{0} e^{k_{1} S / false(K + S false)},

and

R = R_{0} M e^{k_{1} S / false(K + S false)},

where R 0 is the basic mass‐specific respiration rate when water content approaches zero (as in dormant seeds), M is the whole‐plant dry mass (g), and k 1 is the maximum increase in log e ‐transformed R s . Nevertheless, the quantitative effects of water content of the plant body on metabolism (and the scaling exponents governing it) across plant ontogeny remain poorly understood (Sibly et al ., 2012; Huang et al ., 2020).…”

Section: Introductionmentioning

confidence: 99%

“…The previously published model (Huang et al ., 2020) is here modified by assuming that the capacity of water content per unit plant mass to influence metabolic activities that is

e^{k_{1} S false/ (K + S)}

decreases nonlinearly with increasing body mass because of the continuous ontogenetic accumulation of nonliving tissues (i.e. over the course of plant ontogeny) or evolutionarily (i.e.…”

Section: Introductionmentioning

confidence: 99%

“…S1). We further hypothesise that the water in all living tissues is fully involved in metabolic activities, particularly in the case of small and juvenile plants, such as germinating seeds and seedlings (Huang et al ., 2020). If so,

e^{k_{1} S false/ (K + S)}

or M β is essentially invariant with respect to body mass during early ontogeny, that is β ≈ 0.…”

Section: Introductionmentioning

confidence: 99%

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Water content quantitatively affects metabolic rates over the course of plant ontogeny

Huang

Ran

et al. 2020

New Phytologist

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Summary Plant metabolism determines the structure and dynamics of ecological systems across many different scales. The metabolic theory of ecology quantitatively predicts the scaling of metabolic rate as a function of body size and temperature. However, the role of tissue water content has been neglected even though hydration significantly affects metabolism, and thus ecosystem structure and functioning. Here, we use a general model based on biochemical kinetics to quantify the combined effects of water content, body size and temperature on plant metabolic rates. The model was tested using a comprehensive dataset from 205 species across 10 orders of magnitude in body size from seeds to mature large trees. We show that water content significantly influences mass‐specific metabolic rates as predicted by the model. The scaling exponents of whole‐plant metabolic rate vs body size numerically converge onto 1.0 after water content is corrected regardless of body size or ontogenetic stage. The model provides novel insights into how water content together with body size and temperature quantitatively influence plant growth and metabolism, community dynamics and ecosystem energetics.

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“…Detailed descriptions of respiration and body mass measurements can be found in Huang et al . (2020).…”

Section: Methodsmentioning

confidence: 99%

μ = \frac{μ_{m} S}{K + S}

\frac{normald R_{c}}{R_{c} normald μ} = b

.…”

Section: Introductionmentioning

confidence: 99%

“…These assumptions reveal that the mass‐specific respiration rate ( R s , nmol g −1 s −1 ) and the whole‐plant respiration rate ( R , nmol s −1 ) can be expressed as (Eqns 1 and 2):

R_{normals} = R_{0} e^{k_{1} S / false(K + S false)},

and

R = R_{0} M e^{k_{1} S / false(K + S false)},

Section: Introductionmentioning

confidence: 99%

“…The previously published model (Huang et al ., 2020) is here modified by assuming that the capacity of water content per unit plant mass to influence metabolic activities that is

e^{k_{1} S false/ (K + S)}

decreases nonlinearly with increasing body mass because of the continuous ontogenetic accumulation of nonliving tissues (i.e. over the course of plant ontogeny) or evolutionarily (i.e.…”

Section: Introductionmentioning

confidence: 99%

e^{k_{1} S false/ (K + S)}

or M β is essentially invariant with respect to body mass during early ontogeny, that is β ≈ 0.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Water content quantitatively affects metabolic rates over the course of plant ontogeny

Huang

Ran

et al. 2020

New Phytologist

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Enhanced Entanglement and Controlling Quantum Steering in a Laguerre–Gaussian Cavity Optomechanical System with Two Rotating Mirrors

et al. 2023

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Gaussian quantum steering is a type of quantum correlation in which two entangled states exhibit asymmetry. An efficient theoretical proposal is presented for the control of quantum steering and enhancement of entanglement in a Laguerre-Gaussian (LG) cavity optomechanical system. The system contains two rotating mirrors and a coherently driven optical parametric amplifier (OPA). The numerical results show significantly improved mirror-mirror and mirror-cavity entanglements by controlling the system parameters such as parametric gain, parametric phase, and the frequency of the two rotating mirrors. In addition to bipartite entanglement, our system also exhibits mirror-cavity-mirror tripartite entanglement as well. Another intriguing finding is the control of quantum steering, for which several results were obtained by investigating it for various system parameters. It is shown that the steering directivity is primarily determined by the frequency of two rotating mirrors. Furthermore, for two rotating mirrors, quantum steering is found to be asymmetric both one-way and two-way. Therefore, it can be asserted that the current proposal may help in the understanding of non-local correlations and entanglement verification tasks.

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Controlling Remote Entanglement and One‐Way Steering Via a Squeezed Vacuum Field and an Optical Parametric Amplifier

Wei,

Wang,

Zhang

et al. 2024

Adv Quantum Tech

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A scheme is proposed for generating remote entanglement and one‐way Einstein‐Podolsky‐Rosen (EPR) steering between two mechanical resonators in a cavity optomechanical system. Both mechanical resonators are coupled to a common cavity, which contains an optical parametric amplifier (OPA) and is driven by a squeezed vacuum field. The entanglement and EPR steering can be generated by the squeezed vacuum field and significantly enhanced by the gain of OPA. By manipulating the ratio of two effective optomechanical coupling strengths, the asymmetric EPR steering with excellent controllability on the direction, even the one‐way EPR steering can be achieved. Moreover, both the squeezed vacuum field and the OPA can effectively enhance the robustness of EPR steering against the environment temperature, and the temperature‐dependent one‐way EPR steering is explored. This work paves the way toward generating macroscopic mechanical entanglement and EPR steering with potential applications in quantum information processing.

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A General Model for Seed and Seedling Respiratory Metabolism

Cited by 13 publications

References 32 publications

Water content quantitatively affects metabolic rates over the course of plant ontogeny

Water content quantitatively affects metabolic rates over the course of plant ontogeny

Enhanced Entanglement and Controlling Quantum Steering in a Laguerre–Gaussian Cavity Optomechanical System with Two Rotating Mirrors

Controlling Remote Entanglement and One‐Way Steering Via a Squeezed Vacuum Field and an Optical Parametric Amplifier

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