Estimation of the Relative Sizes of Rate Constants for Chlorophyll De-excitation Processes Through Comparison of Inverse Fluorescence Intensities

Similar documents
What the Einstein Relations Tell Us

State Transitions Affect Fv/Fm & Yield Measurements

Harvest Network Courses. Innovation Strategies & Systems Biology of Photosynthesis by Photon Systems Instruments April 1-6, 2010, Brno, Czech Republic

LAB #3: FLUROESCENCE SPECTROSCOPY AND ELECTRON TRANSFER (This lab is adapted from the U of MN Phsyical Chemistry lab manual)

1. Photoreduction of Benzophenone in 2-Propanol

CHEM Outline (Part 15) - Luminescence 2013

LIFT-FRR Assessment of the Oxidized Size of PQ Pool in PSII Based on the Kinetics of Q A

Lecture-17. Electron Transfer in Proteins I

10. 6 Photochemistry. Out-class reading: Levine, pp photochemistry

PHOTOSYNTHESIS. The Details

Photonic multilayer structure of Begonia chloroplasts enhances photosynthetic efficiency

University of Groningen

Variable Chlorophyll Fluorescence Overview (2013)

Complex Reaction Mechanisms Chapter 36

Excited State Processes

PHOTOSYNTHESIS. Light Reaction Calvin Cycle

Fluorescence (Notes 16)

WJEC UNIT 3. ATP & Photosynthesis. Tyrone. R.L. John

Detection of Chlorophyll fluorescence at crop canopies level: Remote Sensing of Photosynthesis

Chemistry 2. Molecular Photophysics

Light and Photosynthesis. Supplemental notes Lab 4 Horticultural Therapy

XV 74. Flouorescence-Polarization-Circular-Dichroism- Jablonski diagram Where does the energy go?

Phytoplankton Photosynthesis

Chap. 12 Photochemistry

Introduction ENERGY. Heat Electricity Electromagnetic irradiation (light)

Photosynthesis in Detail. 3/19/2014 Averett

Introduction. 1 Photosynthesis. Chapter 1

Light reaction. Dark reaction

Singlet. Fluorescence Spectroscopy * LUMO

Sunday, August 25, 2013 PHOTOSYNTHESIS

Photosynthesis is the main route by which that energy enters the biosphere of the Earth.

CD Basis Set of Spectra that is used is that derived from comparing the spectra of globular proteins whose secondary structures are known from X-ray

Chapter 15 Molecular Luminescence Spectrometry

Phytoplankton Photosynthesis

Heterotrophs: Organisms that depend on an external source of organic compounds

Transduction of Light Energy in Chloroplasts

9- #60 5. Photosynthesis. Sixth edition. D. O. Hall. and. K. K. Rao. Published in association with the Institute of Biology CAMBRIDGE UNIVERSITY PRESS

Direct, Reliable, and Correct Oxygen Measurement

Experiment 3: Radiative Lifetime Determination by Laser-Induced Fluorescence

Table S1. Shimakawa et al.

I. Energy for Life. Energy in Ecosystems Did you know you were solar powered? IN: 11/4/2018. Fill in the blanks to complete the reaction: C H O + 6 2

Model Answer (Paper code: AR-7112) M. Sc. (Physics) IV Semester Paper I: Laser Physics and Spectroscopy

Lecture 9: Photosynthesis

Photosynthesis. Chapter 10. Biology Eighth Edition Neil Campbell and Jane Reece. PowerPoint Lecture Presentations for

Determining the limitations and regulation of photosynthetic energy transduction in leaves

Plant Leaf Dark Adaptation - How long is long enough?

EEE4106Z Radiation Interactions & Detection

Improving radiation use efficiency in tropical rice

PHOTOCHEMISTRY NOTES - 1 -

BIOLOGY. Photosynthesis CAMPBELL. Concept 10.1: Photosynthesis converts light energy to the chemical energy of food. Anabolic pathways endergonic

Stress responses of terrestrial vegetation and their manifestation in fluorescence and GPP Jaume Flexas

Supporting Information

Photochemical principles

Bimolecular processes

Organic Photochemistry and Pericyclic Reactions Prof. N.D. Pradeep Singh Department of Chemistry Indian Institute of Technology Kharagpur

CHAPTER 13 : PHOTOSYNTHESIS IN HIGHER PLANTS K C MEENA PGT BIOLOGY KV VIKASPURI II SHIFT

Variable Fluorescence 4/13/10. Fluorescence HEAT

LIGHT DEPENDENT & INDEPENDENT REACTIONS

CHAPTER 8 PHOTOSYNTHESIS

Plant Physiology Preview. Published on October 10, 2017, as DOI: /pp

Overall, photosynthesis is the conversion of the Sun s energy to stored chemical energy. (glucose) The overall reaction for photosynthesis:

9. Transitions between Magnetic Levels Spin Transitions Between Spin States. Conservation of Spin Angular Momentum

16. Reactions of the Radical Pairs. The I P Step of the Paradigm

Advanced Organic Chemistry Chm 512/412 Spring Handout I Photochemistry Part 1. Photophysical Processes Quenching Alkene cis-trans Isomerization

Study questions Test 3. Plant Structure Cntd. Photosynthesis

Fluorescence 2009 update

Photo-Phosphorylation. Photosynthesis 11/29/10. Lehninger 5 th ed. Chapter 19

A. Structures of PS. Site of PS in plants: mostly in leaves in chloroplasts. Leaf cross section. Vein. Mesophyll CO 2 O 2. Stomata

PHOTOSYNTHESIS Student Packet SUMMARY

Photosynthesis. Nearly all of the usable energy on this planet came, at one time or another, from the sun by the process of photosynthesis

Thermostability and Photostability of Photosystem II of the Resurrection Plant Haberlea rhodopensis Studied by Chlorophyll Fluorescence

Chapter 10 Photosynthesis

Time Resolved Pulsed Laser Photolysis Study of Pyrene Fluorescence Quenching by I - Anion

Time Resoled Pulsed Laser Photolysis Study of Pyrene Fluorescence Quenching by I - Anion

Next-generation Imaging Flow Cytometry

Chlorophyll Fluorescence Analysis of Cyanobacterial Photosynthesis and Acclimation

A Three-State Model for Energy Trapping and Chlorophyll Fluorescence in Photosystem II Incorporating Radical Pair Recombination

Molecular Luminescence. Absorption Instrumentation. UV absorption spectrum. lg ε. A = εbc. monochromator. light source. Rotating mirror (beam chopper)

5/08/ :49 PM 28/02/13. Lecture 2: Photosynthesis:

Photosynthesis. I. Photosynthesis overview A. Purpose B. Location. The light vs. the dark reaction Chloroplasts pigments A. Light absorption B.

Chapter 10. Photosynthesis

Theme : PHOTOSYNTHESIS, FLUORESCENCE AND WATER REGIME. Experiment 1: Determination of the rate of photosynthesis under different conditions

Factoring and Algebraic Fractions

Photosynthesis Life Is Solar Powered!

Unit 1C Practice Exam (v.2: KEY)

Quantum Model Einstein s Hypothesis: Photoelectric Effect

Assumed knowledge. Chemistry 2. Learning outcomes. Electronic spectroscopy of polyatomic molecules. Franck-Condon Principle (reprise)

1.9 Practice Problems

Topic 9. Exercises on Photosynthesis. I. Where Photosynthesis Occurs in Plant Cells

LECTURE PRESENTATIONS

THE NATURE OF THERMODYNAMIC ENTROPY. 1 Introduction. James A. Putnam. 1.1 New Definitions for Mass and Force. Author of

Models of the Atom. Spencer Clelland & Katelyn Mason

A procedure for maize genotypes discrimination to drought by chlorophyll fluorescence imaging rapid light curves

Photosynthesis 05/03/2012 INTRODUCTION: Summary Reaction for Photosynthesis: CO 2 : H 2 O: chlorophyll:

Reflection = EM strikes a boundary between two media differing in η and bounces back

Beam diagnostics: Alignment of the beam to prevent for activation. Accelerator physics: using these sensitive particle detectors.

Interaction of Ionizing Radiation with Matter

Comments to Atkins: Physical chemistry, 7th edition.

Fast and non-invasive phenotyping of plant health/stress status using a LED induced chlorophyll fluorescence transient imager

Photosynthesis

Transcription:

Regular Paper Estimation of the Relative Sizes of Rate Constants for Chlorophyll De-excitation Processes Through Comparison of Inverse Fluorescence Intensities Ichiro Kasajima1, 2, 4,, Kentaro Takahara1, Maki Kawai-Yamada2, 4 and Hirofumi Uchimiya1, 3 1 Institute of Molecular and Cellular Biosciences, University of Tokyo, 1 Yayoi, Bunkyo-ku, Tokyo, 113-32 Japan 2 Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama City, Saitama, 338-857 Japan 3 Iwate Biotechnology Research Center, 2274-4 Narita, Kitakami, Iwate, 24-3 Japan 4 Japan Science and Technology Agency (JST), Core Research for Evolutional Science and Technology (CREST), Saitama, 332-12 Japa n The paper derives a simple way to calculate the linear relationships between all separable groups of rate constants for de-excitation of Chl a excitation energy. This is done by comparison of the inverse values of chlorophyll fluorescence intensities and is based on the matrix model of Kitajima and Butler and on the lake model of energy exchange among PSII centers. Compared with the outputs of earlier, similar calculations, the results presented here add some linear comparisons of the relative sizes of rate constants without the need for F measurement. This enables us to regenerate the same alternative formula to calculate q L as presented previously, in a different and simple form. The same former equation to calculate F value from F m, F m and F values is also regenerated in our calculation system in a simple form. We also apply relaxation analysis to separate the rate constant for nonphotochemical quenching ( k NPQ ) into the rate constant for a fast-relaxing non-photochemical quenching ( k fast ) and the rate constant for slow-relaxing non-photochemical quenching ( k slow ). Changes in the sizes of rate constants were measured in Arabidopsis thaliana and in rice. Keywords: Arabidopsis thaliana Chlorophyll fluorescence parameter Lake model Relaxation analysis Rice Stern Volmer approach. Abbreviations : EET, excited energy transfer ; F v / F m, decrease of the parameter F v /F m during treatment ; F, chlorophyll fluorescence intensity (in general) ; F m and F m, maximum fluorescence intensities under dark-adapted or light-adapted states ; F m, maximum fluorescence intensity during relaxation analysis ; F v / F m, a chlorophyll fluorescence parameter estimating the maximal quantum yield of PSII photochemistry ; F and F s, fluorescence intensities under dark-adapted or light-adapted states ; F, fluorescence intensity immediately after turning off actinic light, with all PSII reaction centers open ; F, fl uorescence intensity during relaxation analysis ; k e and k u, rate constants of q E quenching and unknown quenching ; IC, internal conversion ; IS, intersystem crossing ; k f, k isc and k d, rate constants of chlorophyll fluorescence, intersystem crossing and basal non-radiative decay ; k fast and k slow, rate constants of fast- or slow-relaxing nonphotochemical quenching ; k NP, k fi d and k NPQ, rate constants of sum dissipation, basal dissipation and non-photochemical quenching ; k pi and k p, rate constants of photochemistry under dark-adapted or light-adapted states ; k si and k s, rate constants of the sum de-excitation under dark-adapted or light-adapted states ; LED, light-emitting diode ; NPQ, a chlorophyll fluorescence parameter estimating the size of non-photochemical quenching relative to the size of basal dissipation ; PAM, pulse amplitude modulation ; Φ Fast and Φ Slow, chlorophyll fluorescence parameters approximating the quantum yields of q E quenching and unknown quenching ; Φ ISC, a hypothetical chlorophyll fluorescence pa rameter estimating the quantum yield of intersystem crossing ; Φ II, Φ NPQ and Φ NO, chlorophyll fluorescence parameters estimating the quantum yields of PSII photochemistry, non-photochemical quenching and basal dissipation ; PPFD, photosynthetic photon flux density ; q L and q P, chlorophyll fluorescence parameters estimating the fractions of PSII centers in open states based on the lake Corresponding author: E-mail, kasajima28@live.jp /kasajima@iam.u-tokyo.ac.jp ; Fax, +81-3-5841-8466. Plant Cell Physiol. 5(9): 16 1616 (29) doi:1.193/pcp/pcp12, available online at www.pcp.oxfordjournals.org The Author 29. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists. All rights reserved. For permissions, please email: journals.permissions@oxfordjournals.org 16

Detailed calculation of chlorophyll fluorescence model or puddle model of PSII interactions ; q PI, a chlorophyll fluorescence parameter estimating the size of photo-chemistry after treatment relative to the size of photochemistry before treatment ; q S, a chlorophyll fluorescence parameter estimating the size of the sum deexcitation under light-adapted states relative to the size of the sum de-excitation under dark-adapted states ; q Slow, a chlorophyll fluorescence parameter estimating the size of slow-relaxing non-photochemical quenching relative to the size of basal dissipation ; S, sensitivity factor ; S fluctuation, the hypothetical fluctuation in the value of sensitivity factor during measurement or treatment. Introduction Measurement of Chl a fluorescence parameters by the pulse amplitude modulation (PAM) method provides information about the de-excitation fluxes of Chl excitation energy around PSII, by making non-destructive, simple measurements on almost any plant. Fluorescence parameters are calculated from several fluorescence intensities. The modulation technique measures the increment of total fluorescence that occurs in response to a measuring pulse. This method enables measurement of fluorescence intensities, even under illuminated conditions. Fluorescence intensities are measured under different light environments affecting the states of deexcitation fluxes around PSII ( Baker 28 ). A typical measurement of Chl fluorescence with PAM is illustrated in Fig. 1. The relative fluorescence intensity of a dark-adapted plant is designated F. F is considered to reflect both the rate of photochemistry (i.e. the flux to photosynthetic electron transport) and the sum of the rates of various basal non-photochemical de-excitations. F m represents the relative fluorescence intensity of a dark-adapted plant illuminated with a saturating pulse. A saturating pulse completely reduces components of photosynthetic electron transport for a moment and stops photosynthetic electron transport, but it does not affect the non-photochemical deexcitations. Thus F m reflects the rate of the basal non-photochemical de-excitation. The relative fluorescence intensities under the illumination of a saturating pulse are conveniently described as maximum. F s represents the relative fluorescence intensity of lightadapted plants which are illuminated with actinic light. The quantum yield of photochemistry is decreased and the quantum yield of non-photochemical de-excitation is increased under illumination with actinic light. Under illumination, PSII shifts from an open state to a partly closed state, which means that some of the PSII reaction centers cannot utilize excitation energy under illumination. The increase of non-photochemical de-excitation caused by illumination has been usually referred to as non-photochemical quenching. The difference between F s and F is caused by changes in the rates of these de-excitation mechanisms. The relative maximum fluorescence intensity of a light-adapted plant is called F m. The F m reflects the rate of basal nonphotochemical de-excitation and the rate of induced nonphotochemical de-excitation. F represents the relative fluorescence intensity immediately after turning off the actinic light. Supplemental, weak, far-red light to oxidize photosynthetic electron transport fully is provided for a moment before F is measured. Thus F reflects the rates of dark-adapted photochemistry and of the light-adapted sum non-photochemical de-excitation. Please note that F is not measured in Fig. 1. Fluorescence measurement in Fig. 1 was performed with PAM1, because its beautiful trajectory is suitable for illustration. The fluorescence of several samples was simultaneously measured with a Closed FluorCam in the other experiments in this paper. Kitajima and Butler (1975) presented a matrix model to provide a linear explanation of fluorescence intensities by the rate constants of the de-excitation mechanisms. This matrix model satisfactorily explained the relationship between the Chl fluorescence parameter F v /F m [ = ( F m F )/F m ] and the quantum yield of photosynthetic electron transport. F v /F m is now used as the parameter estimating the maximal quantum yield of PSII photochemistry, which means the quantum yield of PSII photochemistry in the dark. Since Kitajima and Butler, conditional changes of photochemical and non-photochemical quenching have been discovered and measured with various Chl fluorescence parameters. Although there are many parameters to measure various properties of fluxes around PSII, for example as reviewed by Roháček (22), the explanation of the experimental results is sometimes difficult because many of the parameters lack formal theoretical definitions ( Baker 28 ). Calculation based on Kitajima and Butler s matrix model is a powerful approach for developing Chl fluorescence parameters which linearly quantify the relative amounts for two groups of rate constants of de-excitation mechanisms. Kramer et al. (24) adopted this line of attack, generally called the Stern Volmer approach, and showed that the relative amount of open PSII is estimated by a new parameter q L [= ( F m F s )/(F m F ) F /F s ] instead of the commonly used parameter q P. q L is favored rather than q P when the lake model fits the situation better than the puddle model of reciprocal exchange of Chl excitation energy among PSII centers. In the lake model, all PSII centers are hypothesized to be energetically connected with each other to exchange Chl excitation energy. On the other hand, PSII centers are hypothesized to exist as sole independent energy-processing systems in the puddle model. Lake and puddle models are the two opposite extremes. Although an intermediate model between the lake model and the puddle model is consistent with experimental data ( Lavergne and Trissle 1995, Lazár 1999 ), Kramer et al. (24) gave a detailed discussion and concluded that the calculated relative amounts of open PSII are nearly equal between the lake model and the 161

I. Kasajima et al. F m Saturating pulse F m F m Fluorescence intensity (a.u.) 1 2 3 4 5 6 7 8 9 1 11 12 13 14 15 16 Time (min.) intermediate model in terrestrial plants in which the reciprocal exchange of Chl excitation energy seems to predominate. Thus, calculation based on the lake model is a good approximation to obtain insight into the sizes of de-excitation processes based on simple equations. For non-photochemical quenching, they showed that the parameter NPQ (= F m /F m 1) estimates the rate constant of induced nonphotochemical de-excitation relative to the rate constant of basal non-photochemical de-excitation, by Equation (43) of their paper. In addition to these calculations, they also showed that the same formula of Φ II [= (F m F s )/F m ], which estimates PSII photochemical quantum yield under illumination, can be derived from both the lake and the puddle models. Parameters for the quantum yield of basal nonphotochemical de-excitation and induced non-photochemical de-excitation under illumination were also derived { Φ NO = 1/ [NPQ + 1 + q L (F m /F 1)] and Φ NPQ = 1 Φ II Φ NO }. As apparent from the equations, the terms Φ II, Φ NO and Φ NPQ sum to 1. This means that the total de-excitation fluxes of Chl excitation energy can be linearly separated into these three groups. F s F Actinic light Measuring pulse Fig. 1 Illustration of fluorescence nomenclature and illumination conditions in PAM analysis. Chl fluorescence of a rosette leaf of Arabidopsis thaliana was measured. In the figure, the x -axis represents the time-course of fluorescence measurement and the y -axis represents relative fluorescence intensities. The measuring (modulation) pulse was turned on at.2 min. At 1.2 min, a saturating pulse was supplemented to measure F m. Fluorescence intensity just before this supplementation of a saturating pulse corresponds to F. In addition to the measuring pulse, actinic light at the photosynthetic photon flux density (PPFD) of 3 µmol m 2 s 1 was turned on at 2. min. During illumination with the actinic light, F m and F s were sequentially measured at 3., 4., 5., 6. and 7. min, then actinic light was turned off at 7.6 min. In the course of dark relaxation, F m and F were sequentially measured at 8.1, 9.1, 1., 11., 13.1 and 16. min, then the measuring pulse was turned off at 16.4 min. F Following the above calculations, Hendrickson et al. (24) proposed simple alternative formulae to calculate Φ NO and Φ NPQ (they call Φ NO as Φ f,d ), such that Φ NO = F s /F m and Φ NPQ = F s /F m F s /F m. Φ NPQ consists of the same formula as Y N which was proposed by Laisk et al. (1997), thus providing a clear theoretical background for Y N. The difference in the Φ NO and Φ NPQ formulae between Kramer et al. (24) and Hendrickson et al. (24) arises from the difference in their choices of fluorescence intensities (whether or not F is used) and the different ways the formulae are derived. Values derived from the two approaches are essentially the same, thus calculations of Y N [equal to Φ NPQ of Hendrickson et al. (24) ] and of Φ NPQ by Kramer et al. (24) give similar values ( Kramer et al. 24 ). Here, we propose an improved and easier way to calculate the relative values of rate constants of de-excitation processes. We do this through a comparison of the inverse values of the fluorescence intensities. Although the basic hypothesis of our calculations is essentially the same as those of previous calculations, the simplicity of our calculation enables an improved understanding of the relationship 162

Detailed calculation of chlorophyll fluorescence between fluorescence intensities and the rate constants of the de-excitation processes. Following our method, we are able to calculate the relative amounts between the rate constants from only the fluorescence intensities F, F m, F m and F s, without F. This elimination of F from calculations is parallel to the results of Oxborough and Baker (1997), Hendrickson et al. (24) and Miyake et al. (29). Applications of our calculations to photoinhibition are also described. Finally, possible fluctuation of the S factor and its effect on the NPQ value are discussed. Results The definitions of the de-excitation processes of Chl excitation energy and its names vary somewhat in the literature and this can be very confusing. To minimize further confusion, we here modify those used in two recent papers on linear calculations of the relative amounts of the rate constants ( Hendrickson et al. 24, Kramer et al. 24 ) and we create some new rate constants to make things clearer still. The list of names and the relationships between the rate constants is shown in Fig. 2. First, we create the term sum de-excitation, which we define as the sum of all the rate constants. This concept is absent from previous analyses but is useful here as it will help us to gain a better insight into the whole question. We write the rate constant of sum de-excitation as k si and k s, where k si represents the sum de-excitation of dark-adapted plants and k s represents the sum de-excitation of lightadapted plants ( i means intrinsic, as in k pi ). Now, k si (or k s ) has two components, photochemistry ( k pi or k p ) and sum dissipation ( k NP ). Here, the word dissipation means energy waste as the definition of an English word. In terms of de-excitation of Chl excitation energy, all de-excitation processes except for photochemistry are energy-wasting processes. So, dissipation could be equal to non-photochemical de-excitation. To represent k NP, the word sum dissipation is used instead of sum non-photochemical de-excitation, because the former phrase is shorter. This kind of philosophy was adopted to determine the usage of seven words as to six specific deexcitation processes, and the results are listed in Table 1. The word quenching is generally used for de-excitation processes through intermolecular interactions. Thus quenching is applicable to photochemistry and non-photochemical quenching. k NP is a rate constant, which is the sum of all rate constants for dissipation processes. Then k NP is further separated into the sum of basal dissipation ( k fi d ) and non-photochemical quenching ( k NPQ ). Basal dissipation is thought to consist of Chl fluorescence ( k f ), intersystem crossing ( k isc ) and basal non-radiative decay ( k d ) ( Kramer et al. 24 ). Induced nonphotochemical dissipation is hypothesized to consist of three factors, fast, intermediate and slow components based on the relaxation analysis ( Quick and Stitt 1989 ). Relaxation analysis represents the measurement of maximum fluorescence after switching off the actinic light. Fluorescence intensities measured in relaxation analysis are referred to as F m by Baker (28). We adopt this usage of the term F m herein (illustrated in Fig. 1 ). Of the three factors of non-photochemical quenching, the fast-relaxing component is often called q E quenching. q E quenching is dependent on the function of PsbS protein ( Li et al. 2 ). We write the rate constant of q E quenching as k e, and the rate constant of the sum of the other unknown non-photochemical quenchings as k u. In this paper, we also separate k NPQ into the rate constant of fast-relaxing non-photochemical quenching ( k fast ) and the rate constant of slow-relaxing nonphotochemical quenching ( k slow ). k fast and k slow represent experimental approximations of k e and k u values. Of the rate constants above, all except k fi d, k f, k isc and k d are variable according to the light intensity. In Fig. 2, we also summarized the symbols for the quantum yields ( Φ ) of de-excitation processes. As described in the Introduction, the quantum yields of de-excitation processes are separated into three parts, Φ II, Φ NO and Φ NPQ. Φ NPQ is further divided into Φ Fast and Φ Slow herein. The de-excitation processes above are also correlated to the Jablonski diagram of Chl energy states ( Turro 1978, Dědic et al. 23, Heldt 25, Sugimori 28 ; Fig. 3 ). Chls at the ground level (S ) are excited to the first singlet state (S 1 ) through absorption of red light or to the second singlet state (S 2 ) through absorption of blue light. Chls at the second singlet state are unstable and they lose energy in the form of heat by internal conversion (IC) until the first singlet state is reached. The excited Chl can return to the ground state through IC or fluorescence emittance at the rate of k d and k f. Energies of first singlet Chls can also be transferred to photochemistry or non-photochemical quenching at the rate of k p (or k pi ) and k NPQ. This kind of intermolecular process is called as excited energy transfer (EET). Through intersystem crossing (IS), first singlet Chl can also be converted to the first triplet state (T 1 ), at a relatively low rate ( k isc ). First triplet Chls return to the ground state through phosphorescence emittance, IS or EET to form singlet oxygen of the state. In Fig. 3, various rotation and vibration energy levels are omitted for the sake of simplicity. Based on Kitajima and Butler s matrix model under the lake model of energy exchange among PSII centers, the following equation is hypothesized by Kramer et al. (24) : F = S û k f / ( k f + k d + k isc + k NPQ + k p ) (generally) (1) Here, F represents the Chl fluorescence intensities in general and S is a constant. Equation (1) is written as a general meaning, and for example the term k NPQ represents any 163

I. Kasajima et al. * Sum de-excitation (k si or k s ) * Photochemistry (k pi or k p Φ II ) * Sum dissipation (k NP ) Basal dissipation (k fid Φ NO ) * Non-photochemical quenching (k NPQ Φ NPQ ) k : rate constant Fluorescence (k f ) Intersystem crossing (k isc ) Basal non-radiative decay (k d ) (a) (b) * qe quenching (k e ) * Unknown quenching (k u ) * : de-excitation processes with variable rate constants Table 1 Terminology of the de-excitation processes * Fast-relaxing non-photochemical quenching (k fast Φ Fast ) * Slowly-relaxing non-photochemical quenching (k slow Φ Slow ) Φ : quantum yield Fig. 2 Nomenclature and components of de-excitation processes. The names of the de-excitation processes are shown. For grouped de-excitations, its components are shown below, thus forming a tree-shaped view. The symbols of the rate constants and quantum yields are indicated in parentheses. Two symbols each are shown for rate constants of sum de-excitation and photochemistry. The first symbol indicates the rate constant in the dark-adapted state and the second symbol indicates the rate constant in the light-adapted state. Variable de-excitation processes are indicated by asterisks. Two ways (a) and (b) of dividing non-photochemical quenching are shown; (a) represents conceptual division and (b) represents the experimental division performed in this paper. De-excitation processes Words k pi k p k f k isc k d k NPQ Quenching O O O Dissipation O O O O De-excitation O O O O O O Photochemical O O Non-photochemical O O O O Basal O O O O Induced O The applicability of three nouns (quenching, dissipation and de-excitation) and four adjectives (photochemical, non-photochemical, basal and induced) was judged for six de-excitation processes. O represents that the word is applicable to the specific process. values of k NPQ including zero. This kind of general meaning is also adopted in Equations (2) and (3). These general equations are used to show general relationships between fluorescence intensities and rate constants. The general equations should be looked at separately from the other specific equations, where terms are not shown when their values are zero and specific fluorescence intensities are given. In all specific equations, the same terms have the same values within a set 164

Detailed calculation of chlorophyll fluorescence S 2 of calculations. Thus specific equations are used to calculate the relationships between fluorescence intensities and rate constants under each specific condition. Equation (1) is also the fundamental equation in our system. It is important that k p is written as k pi for the darkadapted state in specific equations. As described above, values of k NPQ and k p change with light intensity. If presented in simpler and the simplest terms, general Equation (1) is equivalent to the following general equations, respectively: F = S k f / ( k fi d + k NPQ + k p ) (generally) (2) IC Photochemistry (k pi or k p ), Non-photochemical quenching (k NPQ ) EET F = S k f /k s (generally) (3) The difference between general Equations (1) and (2) occurs because we set the new rate constant k fi d to represent the sum of all basal non-photochemical de-excitations. The rate constants of the denominator of the right side of Equation (2) represent three major groups of de-excitations. In general Equation (1), S represents the sensitivity factor, which correlates with the instrument response (Resp) and light intensity ( I ) to the fluorescence intensity ( Kramer et al. 24 ). However, the factor should also contain the proportion of incident light that is absorbed by the leaf ( A leaf ) and the fraction of absorbed light that is received by PSII (fraction PSII ) ( Baker 28 ). The proportion of emitted fluorescence which is not re-absorbed by Chl (Unabs) should also be included. Thus, at least five factors are included in S, the sensitivity factor, in our system: S = I A leaf fractionpsii Unabs Resp (4) Absorption (red) Absorption (blue) S 1 IC (k d ) Fluorescence (k f ) IS (k isc ) S Chlorophyll Fig. 3 Jablonski diagram of Chl energy states. S, S 1, S 2 and T 1 correspond to Chl energy levels in the ground state, in the first singlet state, in the second singlet state and in the first triplet state. Arrows with solid lines indicate excitation processes through absorption of red or blue light. Arrows with broken lines indicate de-excitation processes through internal conversion (IC), fluorescence and phosphorescence emittance, intersystem crossing (IS) and excited energy transfer (EET). Every corresponding rate constant of de-excitation processes from the first singlet state are shown in parentheses. Phosphorescence T 1 IS EET 1 O 2 Other factors which can be included in S will be also discussed later in this paper. This equation should be applicable to both direct detection and PAM detection of fluorescence intensity. I represents incident light intensity in direct detection and measuring pulse intensity in PAM detection. The factor S can fluctuate, especially under stressful conditions ( Baker 28 ). We refer to such fluctuation in S value as S fluctuation in this paper. Because of the position of the factor S in equations, S fluctuation causes complex effects on the calculations. Therefore, we will for the moment hypothesize that there are no fluctuations in S during measurements as in the case of the previous calculations. Probable effects of S fluctuation on Chl fluorescence parameters will be discussed later in this paper. Following general Equation (2) and based on the definitions of fluorescence intensities as described in the second and the third paragraphs of the Introduction, the specific equations below are derived for four representative fluorescence intensities F, F m, F m and F s : F = S k f /(k fi d + k pi ) (5) F m = S k f /k fi d (6) F m = S k f /(k fi d + k NPQ ) (7) F s = S k f /(k fi d + k NPQ + k p ) (8) 165

I. Kasajima et al. Comparing these four equations, we notice that only the left side and the denominators of the right side are different; the other elements are all the same. So, to facilitate calculation, taking inverse values is the reasonable way, as follows: F 1 = (k fi d + k pi )/(S k f ) (9) F m 1 = k fi d /(S k f ) (1) F m 1 = (k fi d + k NPQ )/(S k f ) (11) F s 1 = (k fi d + k NPQ + k p )/(S k f ) (12) Next, both sides are multiplied by S k f, and the sides exchanged to obtain: k fi d + k pi = k si = S k f F 1 (13) k fi d = S k f F m 1 (14) k fi d + k NPQ = S k f F m 1 (15) k fi d + k NPQ + k p = k s = S k f F s 1 (16) Now, because S k f has a constant value under the present hypothesis, from Equations (13) (16) we can say that the inverse values of the fluorescence intensities are proportional to the sum of all the rate constants. The left sides of Equations (13) (16) consist of four unknown rate constants ( k fi d, k NPQ, k pi and k p ) and the right sides consist of the unknown, but stable, constant S k f and four given fluorescence intensities ( F 1, F m 1, F m 1 and F s 1 ). From these equations, it is apparent that any of the four rate constants can be represented as the multiplication of S k f and addition/subtraction of inverse values of fluorescence intensities. Thus, any relative amount between two of the four rate constants or the addition/subtraction of the four rate constants can be calculated quite simply. The following are the major equations for the calculation of relative amounts between rate constants: k pi = S k f (F 1 F m 1 ) (17) k p = S k f (F s 1 F m 1 ) (18) k fi d = S k f F m 1 (14) k NPQ = S k f (F m 1 F m 1 ) (19) k fi d + k pi = k si = S k f F 1 (13) k fi d + k NPQ + k p = k s = S k f Fs 1 (16) Using these six equations, the linear parameters already described are readily interpreted by rate constants as: F v /F m = ( F m F )/F m = ( F 1 F m 1 )/F 1 = k pi /k si (2) Φ II = ( F m F s )/F m = ( F s 1 F m 1 )/F s 1 = k p /k s (21) NPQ = F m /F m 1 = ( F m 1 F m 1 )/F m 1 = k NPQ /k fi d (22) These photochemical kinetic explanations are in accordance with the previous descriptions (refer back to the Introduction). The situation is a little different for the parameter q L. In our system, q L is calculated as: q L = k p /k pi = ( F s 1 F m 1 )/(F 1 F m 1 ) (23) This formula is different from the formula provided previously by Kramer et al. (24), which is: q L = ( F s 1 F m 1 )/(F 1 F m 1 ) = ( F m F s )/(F m F ) F /F s (24) This difference comes from the difference in the choice of fluorescence intensities. Kramer et al. chose F for calculation of k pi instead of F. In our system, F gives the following equation: k fi d + k NPQ + k pi = S k f F 1 (25) Taking Equation (15) from Equation(25) gives k pi = S k f (F 1 F m 1 ) (26) The q L of Kramer et al. is given by Equation (18)/Equation (26). Miyake et al. (29) also derived an equation to calculate q L without use of the F value through several steps of calculations as follows: q L = [ Φ II /(1 Φ II )] [(1 F v /F m )/(F v /F m )] (NPQ + 1) This equation can be transformed as follows: (27) q L = {[( F m F s )/F m ]/[1 ( F m F s )/F m ]} {[1 ( F m F )/F m ]/[(F m F )/F m ]} (F m /F m 1 + 1) = [( F m F s )/F s ] [F /(F m F )] (F m /F m ) = [ F F m (F m F s )]/[F s F m (F m F )] (28) Both numerator and denominator of the right side are divided by F F m F m F s to obtain: q L = ( F s 1 F m 1 )/(F 1 F m 1 ) (23) Thus Equation (23) is the same as, and represents another form of, the equation derived by Miyake et al. (29). 166

Detailed calculation of chlorophyll fluorescence As shown above, our simplified system enables calculation of any relative amounts between the four rate constants k pi, k p, k fi d and k NPQ. Relationship between all rate constants and fluorescence intensities can even be visualized under various light intensities, as shown in Fig. 4A. Following our approach, any new linear parameter to measure the relative amounts between rate constants shown in Fig. 4A can be derived, even for unprecedented combinations of rate constants. As an example, we propose a new parameter q S, which is derived from Equation (16)/Equation (13) as follows: q S = k s /k si = F /F s (29) This simple parameter first enables estimation of the changes in the rate constant of sum de-excitation. Next, we take advantage of our system to separate k NPQ into two components, k fast and k slow. It is proposed that factors of non-photochemical quenching can be distinguished by relaxation analysis ( Quick and Stitt 1989 ). Quick and Stitt (1989) suggested fast, middle and slow components of non-photochemical quenching based on relaxation analysis. A B F F m F F m k si k pi k fid Dark q S q L NPQ k s k p k NPQ Light F s k pi(h) k pi(1h) k pi(4h) k fid q PI q Slow The half-times of dark relaxation of these components were about 1 min, 5 min and hours. In relaxation analysis, the time-course change of F m is measured after the actinic light is turned off for several minutes or longer in some cases. The fast-relaxing component of non-photochemical quenching, called q E quenching, is completely dependent on the function of PsbS (also called NPQ4) and q E quenching is completely lost in the npq4 mutant of Arabidopsis thaliana (Li et al. 2 ). In the course of dark relaxation of Arabidopsis leaves, the wild-type and npq4 show approximately the same F m values after 1 min of relaxation and later on, judging from the figures of the previous reports ( Li et al. 2, Li et al. 22, Logan et al. 28 ). The time of dark relaxation when wild-type and psbs give similar F m values is 5 7 min in rice ( Koo et al. 24 ). When non-photochemical quenching is divided into its fast, middle and slow components based on the method of Quick and Stitt (1989), it seems to have been empirically hypothesized that the pattern of a time-course plot of F m gives two straight lines corresponding to relaxation of the intermediate and slow components of nonphotochemical quenching (or three straight lines when the II k fast F m Φ NPQ S k k f F m (1m) slow F m k fid Φ ΝΟ k fid F (1h,5m) k slow k fid Before HL HL (1 hr.) HL (4 hr.) (Dark) (Dark-adapted) (Dark-adapted) Φ F (4h,5m) F m (4h,5m) Φ Φ Fast Slow F m (1h,5m) Fig. 4 Relationships among rate constants, Chl fluorescence intensities and Chl fluorescence parameters. (A) Relationships under dark-adapted and light-adapted states. Except for the Chl fluorescence parameters, all values in the graph can be linearly compared (e.g. S k f F 1 = k fi d + k pi ). q S, q L and NPQ represent relative amounts between rate constants as indicated (e.g. q S represents the fractional change of the total rate constants). Φ II, Φ NPQ, Φ NO, Φ Fast and Φ Slow are each quantum yields of k p, k NPQ, k fi d, k fast and k slow under light-adapted states. (B) Relationships in high-light (HL) treatment of rice leaves. Values are shown for leaves before HL treatment and after HL treatment for 1 or 4 h. 167

I. Kasajima et al. intervals of saturating pulses are short enough to detect the change in the fast-relaxing component). This approach is used in many papers. However, the relaxation plot gives an even curve from 1 min through to 2 min of relaxation analysis and this approach with straight lines does not seem completely effective in our analysis of rice leaves ( Fig. 5A ). The plot of NPQ during the relaxation analysis is even more curvilinear ( Fig. 5B ). From these observations, we suggest that the approach with straight lines is not necessarily accurate, at least in some situations. This is a natural consequence, because there is no theoretical ground that the relaxation pattern consists of straight lines. Next, we take an alternative method. Even if the relaxation of non-photochemical quenching is not linear or it does not follow any mathematically explainable curve, we can confidently estimate the size of the non-photochemical quenching which relaxes within, for example, 1 min in the dark because comparison between the F m value just before dark adaptation and that of F m after 1 min of dark relaxation can give this value based on our calculation system. We term the F m value after 1 min of dark relaxation F m (1m). The rate constant for non-photochemical quenching relaxing within 1 min of dark relaxation is termed A Relative F m value 1.2 1..8.6.4.2 light off? 1 2 3 k fast, and the rest as k slow in our analysis of Arabidopsis. Alternatively, the rate constant k slow measured with the threshold dark relaxation duration of 5 min is used in our analysis of rice. The durations of 1 min of dark relaxation for Arabidopsis and of 5 min for rice are suggested just as examples and can be modified according to the conditions and purposes of the experiments. Similarly, this approach also does not necessarily give a strictly correct division of non-photochemical quenchings, but this approach can strictly divide nonphotochemical quenchings into two parts which are relaxing before and after a given duration of dark relaxation. F m (1m) gives the following specific equation in our system (please note k NPQ = k fast + k slow ): k fi d + k slow = S k f F m 1 (1m) (3) Equation (15) Equation (3) gives k fast as follows: k fast = S k f [F m 1 F m (1m) 1 ] (31) Similarly, Equation (3) Equation (14) gives k slow as follows: B NPQ k slow = S k f [F m (1m) 1 F m 1 ] (32) 1.8 1.6 1.4 1.2 1..8.6.4.2 light off? 1 2 3 Time (min.) Time (min.) Fig. 5 Relaxation analysis with rice leaves. (A) Time-course measurement of F m, F m and F m values. Leaf pieces were excised from the 3-week-old, third leaves of rice cultivar Habataki. After dark adaptation and measurement of the F m value, actinic light (PPFD = 1,5 µmol m 2 s 1 ) was turned on. F m values were measured during 5 min of illumination with actinic light, and then the actinic light was turned off. F m values were measured every 2 min during relaxation analysis for 3 min. Values are standardized with F m values (the value at min). The two broken lines represent probable fits to the relaxations of middle and slow components, based on the method with straight lines. Data represent means and SDs. n = 4. (B) Time-course calculation of NPQ values. NPQ values were calculated from data obtained in (A), and plotted vs. time. Data represent means and SDs. n = 4. 168

Detailed calculation of chlorophyll fluorescence Relationships of k fast and k slow with other rate constants are also shown in Fig. 4A. In this way both k fast and k slow are also able to be compared linearly with the other rate constants. Following the calculations above, the relative sizes of all four groups of rate constants ( k p, k fast, k slow and k fi d ) were measured in rosette leaves of Arabidopsis under various light intensities, where light intensities were measured by photosynthetic photon flux density (PPFD; µmol m 2 s 1 ) ( Fig. 6A ). Values were standardized with the value of k si (as 1.). Interestingly, the sum de-excitation of the illuminated leaves stayed at a relatively constant level, around 6 % of that of the dark-adapted leaves (in other words, q S was around.6) under all light intensities examined. Under high light intensities, the size of k p decreases. To compensate for the decrease of k p, non-photochemical quenching is induced. Especially fast-relaxing non-photochemical quenching plays a major role in keeping k s stable. In the conventional relaxation analyses, slow components of non-photochemical quenching are called q T and q I. q T is induced even with low light intensities and q I is correlated with photoinhibition ( Quick and Stitt 1989 ). k slow in this paper approximately corresponds to the sum of the rate constants of q T and q I. In the experiment shown in Fig. 6A, actinic lights are supplemented only for 5 min. Under this condition, q I will be hardly induced and q T is expected to be the dominant component of k slow. In fact, k slow is induced even with low light intensities such as 1 and 2 µmol m 2 s 1 in PPFD. A Relative sizes of rate constants (fractional change from k si ) 1..8.6.4.2 2 4 k p 6 k fid 8 1 12 kfast k slow 14 Photosynthetic photon flux density ( m mol m 2 s 1 ) As k NPQ was separated into k fast and k slow components, the quantum yield of non-photochemical quenching, Φ NPQ, can also be separated into Φ Fast and Φ Slow, which correspond to the quantum yield of de-excitation through fast- and slowrelaxing non-photochemical quenching. Quantum yields of all four groups, Φ II, Φ Fast, Φ Slow and Φ NO, were calculated from data in Fig. 6A as follows, and the result is illustrated in Fig. 6B : Φ II = k p /k s = ( F s 1 F m 1 )/F s 1 (33) Φ Fast = k fast /k s = [ F m 1 F m (1m) 1 ]/F s 1 (34) Φ Slow = k slow /k s = [ F m (1m) 1 F m 1 ]/F s 1 (35) Φ NO = k fi d /k s = F m 1 /F s 1 (36) Here, the formula of Φ NO is the same as that of Hendrickson et al. (24), and the sum of Φ Fast and Φ Slow is the same as Φ NPQ of Hendrickson et al. (24) [ Φ N PQ = F s /F m F s /F m = ( F m 1 F m 1 )/F s 1 ], because the F value is not used both in this paper and in Hendrickson et al. (24). The relationship between the different formulae of Φ NPQ and Φ NO of Kramer et al. (24) and Hendrickson et al. (24) will be discussed elsewhere in this paper. In Fig. 6B, quantum yields of the two components of non-photochemical quenching continued to increase as light intensity increased, in contrast to the sequential decrease of Φ II under the higher light B Quantum yield 1..8.6.4.2 2 Φ 4 II 6 Φ NO 8 1 Slow Fast 12 14 Photosynthetic photon flux density ( m mol m 2 s 1 ) Fig. 6 Illustration of rate constants and quantum yields under various light intensities. (A) Relative sizes of rate constants under various light intensities. Twenty-four-day-old wild-type Arabidopsis (ecotype Col-) was measured. Actinic lights were supplemented for 5 min. Values are relative rate constants compared with the sum de-excitation under the dark-adapted state (PPFD = µmol m 2 s 1 ). k p, rate constant of photosynthetic de-excitation; k fast, rate constant of fast-relaxing non-photochemical quenching; k slow, rate constant of slow-relaxing nonphotochemical quenching; k fi d, rate constant of basal dissipation. Data represent means and SDs. n = 4. (B) Quantum yields under various light intensities. Quantum yields through each de-excitation processes were calculated from rate constants measured in (A), as shown in the text [Equations (33) (36)]. Φ II, quantum yield of photochemistry; Φ Fast, quantum yield of fast-relaxing non-photochemical quenching; Φ Slow, quantum yield of slow-relaxing non-photochemical quenching; Φ NO, quantum yield of basal dissipation. Data represent means and SDs. n = 4. Φ Φ 169

I. Kasajima et al. conditions. At the highest light intensity (PPFD = 1,5 µmol m 2 s 1 ), fast-relaxing non-photochemical quenching was the prevalent pathway for de-excitation, followed by basal dissipation, slow-relaxing non-photochemical quenching and, lastly, photochemistry. Finally, damage by high light was analyzed for indica and japonica rice cultivars, based on our calculation system. Rice varieties are separated into two subpopulations, indica and japonica ( Garris et al. 25 ). From observation of several varieties, it is reported that the decrease of F v /F m caused by exposure to high light is less in japonica varieties than in indica varieties. This decrease of F v /F m ( F v /F m ) is thought to reflect damage to PSII reaction centers because the content of the D1 protein changes in parallel with the change of F v /F m ( Jiao and Ji 21 ). However, the question must be asked, does this decrease in F v /F m actually reflect a decrease in the rate of photosynthetic electron transport? F v /F m represents the part of photochemistry in the sum de-excitation of dark-adapted leaves. Because of its mathematical character [Equation (2)], there are two possibilities that may be entertained as to the reason for the decrease in F v /F m. The first is the decrease in photochemistry ( k pi ) and the other is the increase in slow-relaxing non-photochemical quenching ( k slow ). Although leaves are usually dark adapted for some minutes before measurements of F v /F m, the slow-relaxing non-photochemical quenching is expected not to relax completely with this treatment and this can accelerate the decrease in F v /F m. Thus, the observed difference in F v /F m between indica and japonica rice cultivars cannot be readily attributed to the difference in the damage to the photochemical apparatus. Comparison of the effects of k pi and k slow on F v /F m values has been lacking till now because the effect of k slow has not been considered and there has been no way to estimate the changes in k pi. In our calculation system, the change of the k pi value ( q PI ) and the change of the k slow value relative to the k fi d value ( q Slow ) are given by the following formulae, which are similar to the case of q L and the NPQ calculations in Equations (23) and (22): q PI = [ F ( X h,5m) 1 F m ( X h,5m) 1 ]/(F 1 F m 1 ) (37) q Slow = F m ( X h,5m) 1 /F m 1 1 (38) In these equations, we introduced a new fluorescence intensity F to represent fluorescence intensity during dark relaxation, which is measured without supplementation of saturating pulse (as illustrated in Fig. 1 ). In the equations, F ( X h,5m) represents the F value after X h of high-light exposure and following 5 min of dark relaxation. The same is true of the F m values. The relationship between fluorescence intensities, rate constants and fluorescence parameters during high-light treatment of rice leaves is shown in Fig. 4B. To determine the change of q PI and q Slow values, we treated rice leaves under high light (Fig. 7 ). Rice cultivars used in this experiment were three indica cultivars (Kasalath, Habataki and Nona Bokra) and four japonica cultivars (Nipponbare, Koshihikari, Sasanishiki and Akihikari). Of these varieties, the cultivar Kasalath, according to recent reports ( Garris et al. 25, Kovach et al. 27 ), belongs to a group called aus, which belongs to the indica varietal group rather than the japonica varietal group. Rice leaf pieces were excised from fully expanded leaves and placed on water. F and F m values were measured after 5 min of dark adaptation and every hour during exposure to high light (PPFD = 1,5 µmol m 2 s 1 ). By exposure to high light, the F v /F m values decrease (as can be seen, these are not strictly F v /F m, because the leaves are not fully dark adapted). The F v /F m value is significantly less in japonica leaves than in indica leaves, as reported earlier ( Fig. 7A ; Jiao and Ji 21 ). In a similar manner, q PI also decreases after exposure to high light, and the decrease of q PI is less in japonica than in indica, reflecting the tolerant nature of japonica to high light ( Fig. 7B ). On the other hand, the q Slow value increases after exposure to high light ( Fig. 7C ). In contrast to the q PI value, the q Slow value is similar between indica and japonica leaves for up to 3 h of exposure to high light. After 4 h of exposure, the q Slow value is greater in japonica leaves than in indica leaves. At this time, the q Slow value is similar between indica and japonica leaves, although the value looks somewhat larger in japonica leaves. Hence, the quite similar values of F v /F m between indica and japonica leaves after 4 h of high-light exposure are explained by the greater q PI and q Slow values in japonica leaves than in indica leaves. Thus the previously observed slower degradation of the photosynthetic apparatus by high-light treatment in japonica leaves than in indica leaves was first examined by the change of k pi values in this experiment. The pattern of the change of k pi values was basically parallel to the change of F v /F m values, although a difference in the change of q Slow values also affected the difference in F v /F m values between indica and japonica leaves after 4 h of high-light treatment in this experiment. Judging from q PI values, about 3 % of deexcitation capacity of photochemistry is lost after high-light treatment for 1 h and about 45 % of de-excitation capacity of photochemistry is lost after high-light treatment for 4 h. Such quantitative estimation of loss of de-excitation capacity of photochemistry was not possible with the conventional measurements with the parameter F v /F m. In general, the quenching capacity of a quencher is approximately proportional to its concentration at low concentrations (Stern Volmer relationship). The quenching capacity becomes less than expected by this linear relationship as the quencher concentration becomes saturated. There are no data on whether the concentration of the photochemical apparatus of PSII in the thylakoid membrane is lower or higher than its 161

Detailed calculation of chlorophyll fluorescence A F v /F m.35.3.25.2.15.1 indica japonica * * saturation level for this Stern Volmer linear relationship. So, for example, 3 % loss of de-excitation capacity of photochemistry in PSII represents a loss of 3 % of the functional photochemical apparatus. Discussion B q PI 1.1 1..9.8.7.6.5.4.3 indica japonica. hr. 1 hr. 2 hr. 3 hr. 4 hr. hr. 1 hr. 2 hr. 3 hr. 4 hr. Exposure time In this paper, we derive a simple way to calculate relative amounts between rate constants for the de-excitation mechanisms of Chl excitation energy. Our results are complementary to some earlier calculations that deal with the same issues ( Hendrickson et al. 24, Kramer et al. 24, Miyake et al. 29 ). Here, let us also analyze the relationship between our results and an earlier calculation which estimated the value of fluorescence intensity F from F m, F m and F values ( Oxborough and Baker 1997 ). In their calculation, the following equation is derived: F = F /(F v /F m + F /F m ) (39) *.5 * hr. 1 hr. 2 hr. 3 hr. 4 hr. Exposure time C q Slow 1.4 1.2 1..8.6.4.2 indica japonica Exposure time Fig. 7 Change of parameters during high-light exposure. (A) Decrease of F v / F m. Leaf pieces were excised from the third leaves of each of two individuals from three indica and four japonica varieties (so that n = 6 for indica and n = 8 for japonica ). The decrease of F v / F m ( F v / F m ) was measured during exposure to high light (PPFD = 1,5 µmol m 2 s 1 ). Leaves were dark-adapted for 5 min before each measurement. Data represent means and SDs. Asterisks indicate significant differences between indica and japonica by Student s t-test (P <.5). q PI values (B) and q NP values (C) were also calculated from the same F m and F values obtained in (A), and plotted vs. time. Data represent means and SDs. n = 6 for indica and n = 8 for japonica. Asterisks indicate significant differences between indica and japonica by Student s t-test (P <.5). Oxborough and Baker (1997) observed a strong and proportional relationship between the measured F value and this calculated F in several plant species. In Equation (39), F v represents F m F. The right side of Equation (39) is transformed for comparison with our calculations. F v in Equation (39) is substituted by F m F to obtain: F = F /[(F m F )/F m + F /F m ] (4) F m F m is multiplied by both the denominator and numerator of the right side: F = F F m F m /[(F m F ) F m + F F m ] = F F m F m /(F m F m F F m + F F m ) (41) Both the denominator and the numerator of the right side are divided by F F m F m : F = 1/( F 1 F m 1 + F m 1 ) (42) * 1611

I. Kasajima et al. Inverse values of both sides give: F 1 = F 1 F 1 m + F m 1 (43) In our system, the left side of Equation (43) is expressed with rate constants and the factor S using Equation (25) as: F 1 = (S k f ) 1 (k fi d + k NPQ + k pi ) (44) Similarly, the right side of Equation (43) is expressed with rate constants and the factor S using Equations (9), (1) and (11) as: F 1 F 1 m + F m 1 = (S k f ) 1 (k fi d + k pi k fi d + k fi d + k NPQ ) = (S k f ) 1 (k fi d + k pi + k NPQ ) (45) Because the right sides of Equations (44) and (45) are the same, the left side of Equation (44) is equal to the left side of Equation (45). Thus Equation (43) is also derived in our calculation system. This is a natural consequence, because the background hypotheses are the same between our calculations and the calculation by Oxborough and Baker (1997). Thus our calculation system is also consistent with the calculation by Oxborough and Baker (1997). Similar to Oxborough and Baker (1997), exchangeability between F and F following Equation (43) can also be exemplified from the comparison between two different formulae which calculate Φ NPQ. As described in the Introduction, the formula for Φ NPQ of Kramer et al. (24) [shown by Equation (46) below] is different from that of Laisk et al. (1997) and Hendrickson et al. (24) ( Φ N PQ = F s /F m F s /F m ). This difference occurs because the F value is used in a part of the formula by Kramer et al. (24). In Kramer et al. (24), Φ N PQ is given by the following equation: Φ N PQ = 1 Φ II Φ N O = 1 ( F m F s )/F m 1/ [NPQ + 1 + q L (F m /F 1)] = F m 1 /F s 1 [ F m 1 /F m 1 + (F s 1 F m 1 )/ ( F 1 F m 1 ) (F 1 F m 1 )/F m 1 ] 1 (46) If F in Equation (46) is substituted by the right side of equation (43), Φ N PQ is calculated as: Φ N PQ = F m 1 /F s 1 [ F m 1 /F m 1 + (F s 1 F m 1 )/ ( F 1 F m 1 ) (F 1 F m 1 )/F m 1 ] 1 = F m 1 /F s 1 [ F m 1 /F m 1 + (F s 1 F m 1 )/ F m 1 ] 1 = F m 1 /F s 1 F m 1 /F s 1 = F s /F m F s /F m (47) This equation is the same as that of Laisk et al. (1997) and Hendrickson et al. (24). Thus, the observed similarity between Φ NPQ values calculated by two different formulae with or without the F value ( Kramer et al. 24 ) also shows exchangeability between F and F following Equation (43). The two formulae for Φ NPQ are essentially the same under the lake model, which is also true of two different formulae for Φ NO presented by Kramer et al. (24) and Hendrickson et al. (24). The comparison of inverse values of fluorescence intensities is not an entirely new approach. In inorganic chemistry, the Stern Volmer plot gives excellent linear correlations between quencher concentration and its quenching capacity by plotting the inverse values of fluorescence intensities. The essence of the Stern Volmer plot is that an inverse plot of fluorescence intensity gives linear quantification of quenching capacities. In the analysis of the non-photochemical quenching of Chl fluorescence in plants, the basal dissipation is interpreted as the intercept of the Stern Volmer plot, and non-photochemical quenching is interpreted as the variable term of the Stern Volmer plot. The key output of our paper represents a modification of the Stern Volmer approach to take an overview of a multiquencher system in higher plants. On the other hand, our calculations, like previous linear calculations of rate constants in higher plants, are based on the hypotheses that the reciprocal exchange of Chl excitation energy between PSII centers follows the lake model, and that the factor S remains constant throughout the measurement of Chl fluorescence. Although without strict experimental support, the lake model does seem to fit with the results of higher plant studies, at least so far ( Kramer et al. 24 ). Several other models have also been hypothesized and tested especially regarding an explanation of the processes of fluorescence induction (or the Kautsky effect; Lazár 1999 ). We also have to question whether the assumption of stability of the S factor is valid. We hypothesize that the factor S consists of the product of five factors, where S = I A leaf fractionpsii Unabs Resp. This resolution of factor S may not be the final version yet, because secondary fluorescence and the inner filter are also expected to affect fluorescence intensity ( Sušila and Nauš 27 ). The low intensity of fluorescence which is thought to be emitted from PSI may also affect fluorescence intensity. Of all these possible factors, an apparently varying factor within a measurement is A leaf (the proportion of incident light that is absorbed by the leaf). The degree of light absorption by a leaf is adjusted by chloroplast movement both positively and negatively. When absorption is accelerated with weak blue light, the absorption ratio of a leaf can increase by up to 15 % depending on the species. Moreover, these changes in absorption ratios are accompanied by changes in fluorescence intensity ( Brugnoli and Björkman 1992 ). Chloroplast movement also occurs under high-light conditions in a different manner from that under low-light conditions ( Haupt and Scheuerlein 199 ). Although a way to avoid this fluctuation is to use Arabidopsis mutants which are deficient in chloroplast movement ( Kasahara et al. 22 ), the physiological properties of the mutants may be different from the wild type; for example, mutants are more sensitive to high-light stress. Also, this method is not readily applicable to other plant species. Chloroplast movement can occur and influence the ratio of light absorption by a leaf within 1612