Skip to main content
Journal of Experimental Botany logoLink to Journal of Experimental Botany
. 2016 Jun 20;67(15):4697–4709. doi: 10.1093/jxb/erw246

Light sheet microscopy reveals more gradual light attenuation in light-green versus dark-green soybean leaves

Rebecca A Slattery 1,2, Aleel K Grennan 2, Mayandi Sivaguru 2, Rosangela Sozzani 3, Donald R Ort 1,2,4,*
PMCID: PMC4973739  PMID: 27329746

Highlight

Light sheet microscopy, a novel approach to quantifying light profiles, showed more gradual light attenuation in light-green soybean leaves compared to dark-green soybean.

Key words: Chlorophyll, Glycine max, leaf light environment, light sheet microscopy, light use efficiency, photosynthesis, photosynthetic efficiency, soybean.

Abstract

Light wavelengths preferentially absorbed by chlorophyll (chl) often display steep absorption gradients. This over-saturates photosynthesis in upper chloroplasts and deprives lower chloroplasts of blue and red light. Reducing chl content could create a more even leaf light distribution and thereby increase leaf light-use efficiency and overall canopy photosynthesis. This was tested on soybean cultivar ‘Clark’ (WT) and a near-isogenic chl b deficient mutant, Y11y11, grown in controlled environment chambers and in the field. Light attenuation was quantified using a novel approach involving light sheet microscopy. Leaf adaxial and abaxial surfaces were illuminated separately with blue, red, and green wavelengths, and chl fluorescence was detected orthogonally to the illumination plane. Relative fluorescence was significantly greater in deeper layers of the Y11y11 mesophyll than in WT, with the greatest differences in blue, then red, and finally green light when illuminated from the adaxial surface. Modeled relative photosynthesis based on chlorophyll profiles and Beer’s Law predicted less steep gradients in mutant relative photosynthesis rates compared to WT. Although photosynthetic light-use efficiency was greater in the field-grown mutant with ~50% lower chl, light-use efficiency was lower in the mutant when grown in chambers where chl was ~80% reduced. This difference is probably due to pleiotropic effects of the mutation that accompany very severe reductions in chlorophyll and may warrant further testing in other low-chl lines.

Introduction

A considerable amount of research has studied the light gradients within leaves. Because chlorophyll (chl) is packaged into discrete compartments (chloroplasts), the resulting ‘sieve effect’ reduces light absorption. Also known as absorption flattening, this phenomenon occurs in non-homogeneous distributions of chromophores because the effective molecular absorption cross-section decreases with concentration (Duyens, 1956). Conversely, increased path length due to light scattering, or the detour effect (Kok, 1948), occurs frequently in spongy mesophyll and increases light absorption. Thus, the decrease in absorption due to the sieve effect and the increase in absorption due to scattering have opposing dependencies on leaf chlorophyll content. Despite expected deviations from Beer’s Law presented by the sieve and detour effects, tissue-specific single-wavelength light attenuation follows Beer’s Law fairly well (Terashima and Saeki, 1983). As a result, wavelengths that are strongly absorbed by chl, such as red and blue light, are 90% attenuated in the upper 20% of the leaf (Cui et al., 1991), leaving green light, for which chl has a much lower extinction coefficient, to drive a greater proportion of photosynthesis (A) in the lower leaf (Sun et al., 1998; Terashima et al., 2009).

Several methods have been employed for measuring leaf light profiles. These include optical property measurements on paradermal sections (Terashima and Saeki, 1983), microfiber optic measurements (Vogelmann et al., 1991; Vogelmann, 1993), and chl fluorescence imaging (Takahashi, 1994; Vogelmann and Evans, 2002). The last mentioned method illuminates the sample from the adaxial or abaxial surface and views the fluorescence perpendicular to the illumination on a cut-edge cross-section (Vogelmann and Evans, 2002). A similar method involving light sheet microscopy (Weber et al., 2014) could offer an alternative manner of measuring leaf chl fluorescence profiles. Light sheet microscopy is a fluorescence microscopy technique in which a sample is optically sectioned with a sheet of light, and since the detection is orthogonal to the illumination plane, there is no out-of-focus excitation or signal generated. In contrast, the illumination and detection planes are not separated in confocal microscopy, and the out-of-focus excitation is later removed by a pinhole in the emission path to obtain an optical section (Huisken et al., 2004). By illuminating only the observation plane, light sheet microscopy also reduces photodamage and stress on the sample relative to other imaging techniques (Santi, 2011). Because light sheet microscopy sample illumination is perpendicular to the objective lens, leaf adaxial and abaxial surfaces may be illuminated at the same time or independently with detection on the cut edge, as in Vogelmann and Evans (2002), but with greater ease, precision, and resolution (<1 µm).

The light gradients present in leaves effectively alter photosynthetic capacity as a function of leaf depth. Chloroplasts in the upper and lower portions of the leaf acclimate to the gradient in light quantity and spectral distribution similar to sun and shade leaves, resulting in a decrease in photosynthetic capacity as chloroplasts become shaded (Terashima and Inoue, 1984, 1985a , b ; Terashima and Hikosaka, 1995; Terashima et al., 2005). The gradient of light also causes a gradient in photoprotection and thus a gradient in overall photosynthetic efficiency (Schreiber et al., 1996; Oguchi et al., 2011). Accordingly, greater photoprotection is found near the surface when illuminated with red or blue light and evenly dispersed throughout the leaf when illuminated with green light (Oguchi et al., 2011). Measuring A profiles in leaves is difficult, but a multi-layer leaf model reasonably describes CO2 fixation profiles within C3 leaves as a function of either chl content and Beer’s Law or using 14C edge labeling techniques (Terashima and Saeki, 1985; Evans, 1995, 1999; Evans and Vogelmann, 2003). In addition, using chl content and Beer’s Law no longer requires labor-intensive paradermal sectioning and pigment extraction to determine chl profiles. Epi-illumination and detection of chl fluorescence of leaf cross-sections relates to chl distribution in leaf layers (Han et al., 1999; Vogelmann and Evans, 2002) and can be used instead. A negative linear relationship exists between Rubisco per unit cumulative chl with depth from the adaxial surface (Terashima and Inoue, 1985a ; Nishio et al., 1993; Evans, 1995), which allows the estimation of Rubisco content, or effectively the maximum photosynthetic capacity for each leaf layer. Photosynthetic capacity combined with the amount of light absorbed by each leaf layer, which is determined using chl content and Beer’s Law, determine photosynthetic profiles (Evans, 1995) and provide insight into the distribution of A within leaves.

Reducing chl content through smaller antennae has been hypothesized to improve canopy light-use efficiency by creating a more even light distribution among leaves of a crop canopy (Ort et al., 2011, 2015), but it may also alleviate the light disparity among chloroplasts within leaf layers. This could decrease efficiency losses caused by photoprotection at high light since upper chloroplasts would absorb less light. Additionally, more light would reach chloroplasts in the lower palisade or spongy mesophyll cells, resulting in greater leaf photosynthetic light-use efficiency. Support for this concept has been shown in light-green soybean (Glycine max Merr.) mutants with approximately one-third to one-half the chl of the dark-green WT. In these mutants, photosynthetic rates at the leaf level were often similar or greater compared to the WT when measured at the same light intensity (Xu et al., 1993; Jiang et al., 1997).

The primary focus of this study was to compare light absorption profiles within dark- and light-green soybean leaves grown in chamber and field settings using light sheet microscopy. Reducing chl was expected to reduce the disparity of light availability between the upper and lower chloroplasts of the leaf, reduce the modeled gradient of A across the leaf, and therefore explain the increases in light-green soybean mutant photosynthetic efficiency at the leaf level. Light sheet microscopy demonstrated the same patterns in leaf light attenuation in blue, red, and green light as previously reported. As expected, greater light absorption occurred in deeper leaf layers of the light-green mutant leaf with the most noticeable differences in blue light. In addition, modeled leaf A profiles based on chl profiles and Beer’s Law were also more gradual in the mutants. However, while photosynthetic light-use efficiency was greater in the field-grown mutant, it was lower in the mutant when grown in chambers, which may be due to confounding pleiotropic effects of the mutation.

Methods

Growth chamber experimental design

Soybean cultivar ‘Clark’ wildtype (WT) and a nearly isogenic chl deficient mutant, Y11y11, were grown in controlled environment growth chambers (model PCG20, Conviron, Winnipeg, Canada). Sample size was six for each genotype, where single plants represented biological replicates. Four Y11y11 seeds (which segregate 1 dark-green; 2 light-green; 1 yellow lethal) were planted in each of 12 pots (7.6 l) filled with LC-1 Sunshine mix (SunGro Horticulture Canada Ltd, Bellevue, WA, USA) and thinned to one plant per pot of either WT or Y11y11 after emergence. Growth conditions followed a 14h day/10h night cycle with daylight at approximately 700 µmol m−2 s−1, 65% relative humidity, and day/night temperatures of 25/22 °C. Beginning one week after emergence, plants were fertilized using 50% Long Ashton solution with an additional 10mM NH4NO3 (Hewitt, 1966) every other day and watered in between as needed.

Field experimental design

The same genotypes were grown at the SoyFACE facility (40º02’N, 88º14’W, 228 m above sea level) at the University of Illinois at Urbana-Champaign during the 2014 growing season. Prior to planting on 17 June, fertilizer was applied according to standard procedure for corn-soy rotations in the Midwest, USA. Due to the segregation of Y11y11 seeds, Y11y11 was planted at double the density of WT. Shortly after emergence, all yellow plants died and all dark-green plants were removed, resulting in a similar density for each genotype (approximately 30 plants m−2). The experimental design consisted of a randomized complete block design (n=6) where an experimental unit consisted of a plot containing four 2.44 m rows running N–S with 0.38 m between rows.

Light profiles

All measurements were conducted on sun leaves, which were designated as the youngest, fully expanded leaf on the main stem. All chamber-grown leaf tissue used for microscopy was removed from sun leaves still attached to the plant, whereas all field-grown leaf tissue was taken from leaves collected pre-dawn the same day. Light profiles were measured using light sheet microscopy (Lightsheet z.1, Zeiss, Obercohen, Germany; see Supplementary Fig. S1 at JXB online for a diagram of the sample positioning and illumination). Leaf samples approximately 1–2mm wide and 15–20mm long were cut from interveinal regions. The sections were then embedded in 1% low-melting and low-gelling agarose within a glass capillary with an inner diameter of 2.15mm. Once the agarose had solidified, the sample was partially ejected into the sample turret and suspended in water so that the adaxial and abaxial surfaces were perpendicular to the light sheet illumination objective (LSFM 10×/0.2 NA; Zeiss, Obercohen, Germany) and the cut edge was facing the detection objective (W Plan-Apochromat 20×/1.0 NA; Zeiss, Obercohen, Germany). At non-saturating intensities, excitation alternated between the adaxial and abaxial surfaces at wavelengths of 445, 638, and 561nm for the chamber-grown plants. The wavelengths used in the field experiment consisted of 405, 488, 638, and 561nm. A long pass filter was used to collect chl fluorescence above 660nm. The thickness of the light sheet was 4.8 µm, and pixel size was 0.23×0.23 µm. A z-stack of at least 25 µm and consisting of approximately 40–45 complete leaf cross-section images was collected at two locations per leaf sample in the chamber experiment and at three locations per leaf in the field experiment for technical replication.

Images were analyzed using Zen software (Blue Edition; Zeiss, Obercohen, Germany). A 200-µm long cross-section was analyzed where mean intensity from the illuminated leaf surface was recorded at 0.23 µm intervals. Sections were lined up along the outermost edge of the leaf according to the direction of illumination. Three different cross-sections in the z direction (depth from cut surface) per technical replication were analyzed as subsamples, which were approximately 5 µm apart to ensure sections were from non-overlapping light sheets. Means and standard deviations were calculated after averaging all subsamples by pixel layer from the illuminated surface. Relative fluorescence was then calculated by dividing by the maximum fluorescence for each wavelength and genotype. The same scalars were applied to the standard deviations, which were then divided by the square root of n (n=6) to obtain standard errors. Paired t-tests were conducted at each pixel layer, and significant differences in light absorbance were determined at alpha =0.05.

Sampling

Leaf absorbance of visible light wavelengths was measured using an integrating sphere (Spectroclip-JAZ-TR, Ocean Optics, Duiven, The Netherlands) on the adaxial surface in both experiments and the abaxial surface in the field experiment. The percent leaf absorbance was determined as

%Abs= (IoIrIt)×100

where I o is incident light, I r is reflected light, and I t is transmitted light. Path lengthening was determined for both genotypes using Beer’s Law to calculate the ratio of expected absorbance to actual absorbance. Expected absorbance was calculated as

Abs1=εcl

where ε is the extinction coefficient of chl in pigment–protein complexes [2230 m2 (mol chl) −1; Evans, 1995], c is the concentration of chl in the leaf (mol m−3), and l is the leaf thickness determined from light sheet images. Actual absorbance was calculated by

Abs2= log(Po/P)

where P o=100% and P=(100% – %Abs). The apparent ε was then calculated by substituting Abs 2 for Abs 1 in the expected absorbance equation and rearranging the equation to

ε=Abs2/cl

Chl was extracted from 1-cm diameter leaf disks to determine total chl content and chl a/b ratios according to Porra et al. (1989) and Lichtenthaler (1987). Specific leaf weight (SLW) was determined from the mass of a 2-cm leaf disk after drying to constant weight. Leaf tissue was also collected from field-grown plants for Rubisco quantification. Tissue was ground in liquid nitrogen, and approximately 100mg was added to extraction buffer and centrifuged to remove solid matter. Total protein concentration was determined using a Bradford assay, and 2 µg total protein was loaded from each sample for gel electrophoresis. Protein was then blotted onto a polyvinylidene difluoride (PVDF) membrane and treated with a primary antibody for the large subunit of Rubisco, and then a secondary antibody. The membrane was imaged by chemiluminescence (SuperSignal West Femto, Pierce Biotechnology, Rockford, IL, USA) using a blot scanner (C-DiGit Blot Scanner, LI-COR, Lincoln, NE, USA), and band intensity was quantified from the image (Image Studio 5.0 Software, LI-COR, Lincoln, NE, USA). Relative chl content profiles as a function of depth into the leaf were determined using epi-fluorescence and detection in the same manner as Vogelmann and Evans (2002). Confocal microscopy (LSM710, Zeiss, Obercohen, Germany) was used to illuminate and detect fluorescence from the cut surface so that all layers of the leaf cross-section were illuminated evenly, as opposed to light sheet microscopy where the light intensity was greatest at the leaf surface nearest the illumination objective. Leaf sections 5×10mm were embedded in 1% ultra-pure agarose and finely sliced into cross-sections. The cut edge was illuminated with 488nm light with the resulting chl fluorescence detected at 679nm. Cross-section fluorescence from adaxial to abaxial surface over a 200-µm leaf section was quantified in Zen software (Blue Edition; Zeiss, Obercohen, Germany), normalized for leaf depth, and analyzed in the same manner as light sheet microscopy data.

Analyses of variance on chl a/b, chl content, carotenoid content, %Abs, path length, SLW, and relative Rubisco were conducted in Proc GLM (SAS 9.4, SAS Institute, Cary, NC, USA) with genotype considered a fixed effect. Means were based on n=6. Differences were considered significant at alpha =0.05.

Modeling

Epi-fluorescence, which proportionally represented relative chl content, was converted to actual chl content based on whole-leaf chl contents (see Results). Rubisco content per unit chl has a negative linear relationship with cumulative chl content (Evans, 1995). Soybean leaves are relatively thin compared to spinach leaves, making it extremely difficult to obtain multiple paradermal sections for Rubisco analyses. Therefore, it was assumed that the same relative decline in Rubisco with cumulative chl content occurs in soybean as it does in spinach. Using this relationship, Rubisco content was calculated for each layer, after which Rubisco per chl was multiplied by chl content and divided by the greatest Rubisco content to calculate relative Rubisco content per layer in each genotype. Absorbance was calculated as Abs 1 = εcl for each layer based on the apparent ε calculated above. Using Abs 1 in place of Abs 2 in the equation Abs 2 = log(P o/P), P was calculated to determine the amount of light absorbed (I a) and available in each layer [based on 2000 µmol m−2 s−1 incident photosynthetic photon flux density (PPFD) at the adaxial surface]. A by layer (A i) was calculated using the multi-layer leaf model (Terashima and Saeki, 1985; Evans, 1995, 1999; Evans and Vogelmann, 2003):

Ai= (ϕIa+Am [(ϕIa+Am)2 4θϕIaAm)0.5]/2θ

where ϕ, representing ϕCO 2, and θ, the curvature factor, were estimated from light response curves (see below) and assumed to be the same for each layer (Evans, 1995), maximum photosynthetic capacity (A m) was based on relative Rubisco content, and absorbed light per layer (I a) was calculated as above. A i was then converted to relative A i by dividing all layers by the maximum calculated A i for each genotype and experiment. All modeling was based on relative distance from the adaxial surface of the leaf due to slight variation in leaf thickness between growth environments. Leaf thickness was slightly lower in the field compared to the growth chamber experiment but did not differ between genotypes (data not shown).

Gas exchange

All gas exchange measurements on chamber plants were conducted prior to light sheet microscopy measurements and on the same leaves as the light sheet measurements. Field gas exchange occurred within two days following microscopy on different plants within plots but at the same relative leaf position in the canopy. Photosynthetic light (A/Q) and CO2 (A/C i) response curves were measured using an open-path gas exchange system equipped with a leaf chamber fluorometer (LI-6400, LI-COR, Lincoln, NE, USA). On the same day as A/Q curve measurements, dark-adapted minimal (F o) and maximal fluorescence (F m) of photosystem II (PSII) were measured prior to growth chamber illumination or dawn. This allowed determination of maximum efficiency of PSII in the light (F v/F m′), non-photochemical quenching [NPQ, (1–F m′)/F m′), and photochemical quenching factor [q P = (F m′-F s′)/F v′, where F s is steady-state fluorescence] as a function of irradiance. The operating efficiency of PSII [ϕPSII = (F m′- F s′)/F m′] was also measured at each irradiance. Incident PPFD was adjusted for absorption after determining leaf absorbance in the red and blue wavelengths emitted by the fluorometer LEDs. Saturated rates of A (A sat), maximum quantum efficiency (ϕCO 2), response curvature (θ), and dark respiration rates (R d) versus absorbed PPFD were determined by fitting the data to a non-rectangular response curve (SigmaPlot, Systat Software Inc, San Jose, CA, USA). Proc Loess (SAS 9.4; SAS Institute, Cary, NC, USA) was used to determine 95% confidence intervals for all A/Q data where non-overlapping intervals indicated significant differences. A/C i curves were analyzed to determine the maximum carboxylation capacity of Rubisco (V c,max), the maximum rate of electron transport (J max) and the intercellular concentration of CO2 (C i) at the inflection point of the curve (C i,inflection) according to Long and Bernacchi (2003). Analyses of variance on photosynthetic parameters (V c,max, J max, C i,inflection, A sat, ϕCO 2, θ, R d, F v/F m) were conducted in Proc GLM (SAS 9.4, SAS Institute, Cary, NC, USA) with genotype considered as a fixed effect. Means were based on n=6 except for field A/C i parameters (n=5), field A/Q gas exchange parameters (n=4), and chamber F v/F m (n=4). Differences were considered significant at alpha =0.05.

Results and Discussion

Reducing chl content significantly affected light attenuation, especially in blue and red wavelengths

Fluorescence profiles from light sheet microscopy resembled previous leaf profile measurements on other species using monochromatic light perpendicular to the leaf surface. As expected, blue light (445nm) was most sharply attenuated as a function of depth within the leaf in both genotypes, regardless of illumination direction (Fig. 1A, D, G, J). As was seen in spinach leaves (Vogelmann and Evans, 2002), the attenuation of red light (638nm) was somewhat more gradual (Fig. 1B, H), and green light (561nm) attenuation was the most gradual (Fig. 1C, I) in WT leaves. In Y11y11 leaves, red light attenuation was similar to green light attenuation (Fig. 1E, F, K, L). The profiles also demonstrated a clear distinction between palisade and spongy mesophyll (Fig. 1), which was evident in the ‘shoulders’ especially visible in red and green light fluorescence quantification (see below). These profiles, especially in the WT soybean leaves, were very similar to those shown by Vogelmann and Evans (2002), although the resolution depicted here was greater as pixel size was reduced to 0.23×0.23 µm.

Fig. 1.

Fig. 1.

Fluorescence profiles of chamber-grown WT (ABCGHI) and Y11y11 (DEFJKL) cross-sections within a z-stack when illuminated from the adaxial (A–F) or abaxial (G–L) surface with blue (445nm; A, D, G, J), red (638nm; B, E, H, K), and green (561nm; C, F, I, L) lasers using light sheet microscopy. Fluorescence was falsely colored to represent the illumination wavelength. Scale bar in (A) = 50 µm. Pixel size = 0.23 µm.

When illuminating the leaf samples from the adaxial surface, blue light peak absorbance occurred at approximately the same location in the leaf for both genotypes (15 µm from the adaxial surface in chamber plants and 8–10 µm for field plants), but the mutant leaf had significantly greater blue light absorbance at greater depths in the leaf (Figs 2A, 3A, C). Very little blue light reached the spongy mesophyll in either leaf, as demonstrated by lack of a clear ‘shoulder’ in both profiles (Figs 2A, 3A, C) that was evident in the red and green adaxial illumination (Figs 2C, E, 3E, G). The ratio of the blue-to-red molar absorption coefficient is much higher for chl b than for chl a, and thus explains blue light attenuation before reaching the spongy mesophyll. In addition, the difference in red and blue absorptivity could have contributed to the deeper penetration of blue light into the Y11y11 leaf that is largely devoid of chl b (Table 1). However, in both experiments, significantly more red light was also absorbed in the lower palisade and upper spongy mesophyll cells in the mutant compared to the WT (Figs 2C, 3E). In the chamber-grown plants, peak absorbance in red light occurred much deeper in the Y11y11 leaf (37 µm from the adaxial surface) as compared to the WT (17 µm; Fig. 2C). In field-grown leaves, the peak of red light absorption was approximately 21–23 µm in both genotypes (Fig. 3E). Green light peak absorbance occurred at approximately the same location in all genotypes across experiments (30–40 µm; Figs 2E, 3G). Only slightly more green light was available in spongy mesophyll cells of the mutant compared to WT (Figs 2E, 3G). These data supported the hypothesis that reducing pigment concentrations facilitates a more even light distribution of highly absorbed wavelengths in the light-green leaf, resulting in proportionally more light absorption in the mutant spongy mesophyll as compared to the palisade mesophyll. Moreover, the change was not limited to a deficiency in chl b due to similar patterns in blue and red light.

Fig. 2.

Fig. 2.

Relative fluorescence with distance from the adaxial surface. WT (black) and Y11y11 (grey) chamber-grown leaves were illuminated with blue (445nm; A, B), red (638nm; C, D), and green (561nm; E, F) lasers from the adaxial (A, C, E) and abaxial (B, D, F) surface using light sheet microscopy. Mean fluorescence (n=6) is shown every 0.23 µm. Error bars are indicated every 10 µm. Asterisks represent significant differences at P<0.05.

Fig. 3.

Fig. 3.

Relative fluorescence with distance from the adaxial surface. WT (black) and Y11y11 (grey) field-grown leaves were illuminated with 405nm (A, B), 488nm (C, D), 638nm (E, F), and 561nm (G, H) lasers from the adaxial (A, C, E, G) and abaxial (B, D, F, H) surface using light sheet microscopy. Means (n=6) are shown every 0.23 µm. Error bars are indicated every 10 µm. Asterisks represent significant differences at P<0.05.

Table 1.

Summary of leaf properties in chamber- and field-grown dark-green WT and light-green Y11y11 ‘Clark’ soybean. Means of chl a/b ratios, total chl content, leaf absorbance (%Abs), calculated path length, and specific leaf weight (SLW) are reported with the ratio of the chl-deficient mutant as compared to the WT. ANOVA summary statistics are also indicated (n=6)

Parameter WT Y11y11 Ratio F-value P-value
Chamber experiment
Chl a/b ratio 2.92 4.51 1.5 502 <0.0001
Chl (µmol m−2) 301.3 61.8 0.21 1414 <0.0001
Carotenoids (g m−2) 41.7 19.2 0.46 381 <0.0001
%Abs 92.2 67.5 0.73 992 <0.0001
Path lengthening 1.66 3.57 2.15 191 <0.0001
SLW (g m−2) 23.2 18.0 0.78 51.5 <0.0001
Field experiment
Chl a/b ratio 3.09 4.60 1.5 197 <0.0001
Chl (µmol m−2) 457 212 0.46 274 <0.0001
Carotenoids (g m−2) 72.5 53.0 0.73 39.7 <0.0001
%Abs (from adaxial) 93.2 86.3 0.93 43.7 <0.0001
%Abs (from abaxial) 90.6 82.3 0.91 102 <0.0001
Path lengthening 1.15 1.84 1.60 41.5 <0.0001
SLW (g m−2) 46.4 45.2 0.97 0.61 0.45
Rubisco (relative units) 0.778 0.745 0.96 0.14 0.71

When illuminated from the abaxial surface, significant differences between genotypes were more common in the field experiment. Chamber-grown WT and Y11y11 fluorescence profiles were similar in the spongy mesophyll within each illumination wavelength, with limited significant differences in fluorescence occurring in the palisade mesophyll (Fig. 2B, D, F), whereas field-grown Y11y11 plants demonstrated significantly greater relative fluorescence in the palisade mesophyll cells across all wavelengths (Fig. 3B, D, F, H), greater fluorescence in spongy cells with blue light (405nm; Fig. 3B), and significantly less fluorescence in spongy cells with green light (561nm; Fig. 3H). Genotypic differences in the location of peak absorbance within experiments only occurred in red and green wavelengths. Peak absorbance of red light was again similar in WT and Y11y11 chamber plants (26–30 µm; Fig. 2D), but in field plants Y11y11 peak absorbance was much further from the abaxial surface (72 µm) as compared to the WT (18 µm; Fig. 3F). Peak absorbance of green light occurred in the palisade mesophyll of Y11y11 (105 µm from the abaxial surface in chamber plants and 78 µm in field plants; Figs 2F, 3H) but occurred in the spongy mesophyll of WT leaves (25–30 µm; Figs 2F, 3H). This may have been due to chl distribution patterns differing between WT and Y11y11 leaves in chamber versus field conditions. In the chamber-grown plants, WT and Y11y11 relative chl content peaked in the upper palisade mesophyll (Fig. 4C). The same was true for the field-grown mutant, but the field-grown WT relative chl content peak occurred in the lower palisade (Fig. 4D).

Fig. 4.

Fig. 4.

Epi-fluorescence, chl content, and relative Rubisco profiles in chamber-grown (A, C, E) and field-grown (B, D, F) WT (black) and Y11y11 (grey) leaves. Relative chl distribution from epi-fluorescence measurements (A, B) was converted to absolute chl content (C, D) based on total leaf chl content on an area basis. Relative Rubisco (E, F) was determined from previous relationships between Rubisco per chl versus cumulative chl (Evans, 1995, 1999). Sample size in (A, B) was n=6 except for chamber-grown Y11y11 (n=5). Error bars represent standard errors of the means.

Leaf properties were significantly altered by chl reductions

At the time of measurement, the contrast between WT and Y11y11 leaf properties was much greater in chamber-grown soybean plants compared to field-grown plants. Although chl a/b ratios were 1.5 times greater in Y11y11 compared to WT in both experiments (P<0.0001; Table 1), overall chl content was reduced by almost 80% in chamber-grown mutants (P<0.0001; Table 1) as compared to a 54% reduction in field-grown mutants compared to WT (P<0.0001; Table 1). Carotenoid content was also reduced by 54% in chamber-grown Y11y11 leaves (P<0.0001; Table 1) as opposed to a 27% decrease in field-grown Y11y11 leaves compared to WT (P<0.0001; Table 1). Y11y11 SLW was reduced by 20% of the WT in the chamber experiment (P<0.0001; Table 1), but the reduction in field-grown mutant plants was only 3% (P=0.45; Table 1). Previous experiments have shown variability in the extent of the Y11y11 phenotype, mainly as a function of light intensity (Xu et al., 1993). Light availability was probably the cause of the phenotypic differences in this study since light intensity inside the growth chamber (700 µmol m−2 s−1 PPFD) was significantly lower than the full sunlight experienced by the plants grown in the field (approximately 2000 µmol m−2 s−1 PPFD).

Reductions in %Abs were disproportionately less than reductions in chl content in both experiments and lower than predicted by Beer’s Law. Although chl content was reduced by 80% in the chamber experiment, %Abs was only reduced by approximately 25% (Table 1). In the field experiment, a >50% reduction in chl content only resulted in a 7% reduction in %Abs when illuminated from the adaxial surface and 9% when from the abaxial surface (Table 1). Comparisons between Abs 1 and Abs 2 revealed a 2.15 times greater path length in the mutant compared to the WT in the chamber experiment (P<0.0001; Table 1) and a 1.6 times greater path length in the mutant in the field experiment (P<0.0001; Table 1). These values agreed with the relationship between chl reductions and path lengthening in low-chl plants compared to full-green plants calculated from McClendon and Fukshansky (1990; Supplementary Fig. S2). Cell shape and intercellular air-cell wall interfaces affect light scattering with the irregularly shaped spongy mesophyll linked to higher light scattering and therefore greater path lengthening compared to the columnar-shaped palisade mesophyll cells (Vogelmann, 1993). With reduced chl, less light was expected to be absorbed in the upper leaf, allowing more light to reach the spongy mesophyll where it would be scattered and therefore have a greater chance of absorption before exiting the leaf as transmitted light. This effect would increase the path length to a greater degree in the mutant as compared to the WT. When illuminating from the abaxial side, overall %Abs decreased in both genotypes (Table 1), which was most likely due to greater reflectance with the increased scattering of light in the spongy mesophyll as opposed to the focusing effect of columnar palisade cells (Terashima and Saeki, 1983; Vogelmann, 1993).

Modeled photosynthetic profiles predict a more even distribution of carbon capture across mutant leaf layers

Total leaf chl content (Table 1) and epi-fluorescence (Fig. 4A, B) were used to estimate leaf chl content profiles (Fig. 4C, D). Relative epi-fluorescence patterns were similar in chamber-grown WT and Y11y11 leaves but with slightly greater values in WT lower palisade and spongy mesophyll tissue (Fig. 4A). A similar relationship was evident between field-grown WT and Y11y11 leaves (Fig. 4B), but peak WT fluorescence occurred at a greater depth as compared to Y11y11 (Fig. 4B). Since chl content is proportional to fluorescence (Han et al., 1999; Vogelmann and Evans, 2002), the chl profiles demonstrated the same patterns as epi-fluorescence adjusted for total chl content (Fig. 4C, D). Total leaf Rubisco content was the same in WT and Y11y11 field-grown plants (Table 1, Supplementary Fig. S3). Using the equations previously relating Rubisco to chl content (Terashima and Inoue, 1985a ; Nishio et al., 1993; Evans, 1995) and assuming a similar relationship applies in soybean, Rubisco content as a function of cumulative chl content was first calculated and then used to determine relative Rubisco as a function of relative depth within the leaf (Fig. 4E, F) to estimate A m for each leaf layer. Relative Rubisco distribution was similar between experiments (Fig. 4E, F), with the notable exception of greater relative Rubisco content in field-grown mutant spongy mesophyll (Fig. 4F).

Based on Beer’s Law and chl content profiles, light availability by layer was greater with depth in the Y11y11 leaf in both experiments (Fig. 5A, B) with a greater difference between WT and Y11y11 in the chamber experiment (Fig. 5A). WT light absorption near the adaxial surface was greater than that of Y11y11 (Fig. 5C, D), which most likely drove differences in total leaf absorbance (Table 1). However, Y11y11 light absorption was slightly greater in spongy mesophyll tissues in both experiments (Fig. 5C, D) due to greater light availability with depth in the mutant leaf (Fig. 5A, B). The difference between Y11y11 and WT absorption in the lower leaf (Fig. 5C, D) was probably small because of very low chl content in the Y11y11 spongy mesophyll (Fig. 4A, B). Relative A i was greater in the mutant versus WT in lower leaf layers (Fig. 5E, F), therefore demonstrating more evenly distributed rates of A i across the light-green leaf layers compared to WT. However, absorbed light was determined using the apparent ε of the whole leaf. Correcting light absorption for a layer-specific path lengthening or apparent ε, which would be greater in the spongy mesophyll, combined with greater light availability in Y11y11 (Fig. 5A, B) would have probably increased overall light absorption to a greater extent in lower leaf layers of the mutant compared to the WT. If so, Y11y11 would demonstrate even greater relative rates of A i and therefore a smaller disparity between upper and lower leaf CO2 fixation.

Fig. 5.

Fig. 5.

Light availability, absorption, and relative photosynthesis profiles in chamber-grown (A, C, E) and field-grown (B, D, F) WT (black) and Y11y11 (grey) leaves. The amount of light available (A, B) and absorbed (C, D) in each layer were used to determine relative photosynthesis profiles (E, F).

Despite more evenly distributed light and CO2 fixation in both experiments, only field-grown mutants demonstrated greater photosynthetic capacity and light-use efficiency

Although both chamber- and field-grown mutant soybean leaves demonstrated relatively greater light absorption (Figs 2, 3, 5A, B) and greater relative A i in the lower leaf (Fig. 5E, F), chamber-grown mutants showed significant reductions in many A/C i and A/Q parameters indicative of photosynthetic capacity (Table 2). V c,max and J max were approximately 25% lower in the mutant as compared to the WT (P<0.001; Table 2), suggesting a significant reduction in Rubisco content and photosynthetic machinery. At high light, carboxylation capacity limits A (Ogren and Evans, 1993), and this was evident in a 21% decrease in Y11y11 A sat (Table 2). Light-use efficiency also declined in the mutant, as evident by lower rates of A versus absorbed PPFD at both high and low light levels (Fig. 6A). The maximum quantum efficiency at low light, or ϕCO 2, was significantly reduced by 21% in the mutant (Table 2). Large, interconnected light-harvesting complexes associated with PSII (LHCII) decrease the chances of an absorbed photon being lost as thermal dissipation or fluorescence before reaching an open reaction center (Allen and Forsberg, 2001). Therefore, severely truncated LHCII in the chamber-grown mutants probably reduced ϕCO 2 through inhibiting excitation transfer among photosystems when light was limiting (Zhu et al., 2010), although a greater ratio of PSII to photosystem I (PSI) ratio in the mutant (Ghirardi and Melis, 1988) may have also been a contributing factor.

Table 2.

Summary of gas exchange and dark-adapted fluorescence measurements for chamber- and field-grown dark-green WT and light-green Y11y11 ‘Clark’ soybean. Means of light response parameters, CO2 response parameters, and dark-adapted fluorescence measurements are reported with the ratio of the chl-deficient mutant as compared to the WT. ANOVA summary statistics are also indicated where n=6 for all parameters except chamber Fv/Fm (n=4), field A/Q (n=4), and field A/C i parameters (n=5)

Parameter WT Y11y11 Ratio F-value P-value
Chamber experiment
A/Q A sat 28.3 22.3 0.79 32.4 <0.001
ϕCO 2 0.068 0.053 0.79 18.2 <0.01
R d 1.69 1.43 0.82 4.89 0.052
θ 0.582 0.798 1.40 4.56 0.059
A/C i V c,max 106.6 79.8 0.75 21.2 <0.001
J max 192.5 140.6 0.73 21.5 <0.001
C i,inflection 286.8 260.5 0.91 6.20 <0.05
Fluorescence F v/F m 0.824 0.824 1.00 <0.01 0.97
Field experiment
A/Q A sat 32.6 38.4 1.18 9.02 <0.05
ϕCO 2 0.062 0.061 0.98 0.09 0.77
R d 0.44 0.63 1.43 9.10 <0.05
θ 3.42 3.26 0.95 0.24 0.64
A/C i V c,max 113.7 121.8 1.07 2.13 0.18
J max 176.7 195.8 1.11 5.21 0.052
C i,inflection 202.0 209.0 1.03 0.11 0.75
Fluorescence F v/F m 0.75 0.74 0.99 0.04 0.85

Fig. 6.

Fig. 6.

Gas exchange from light response curves. A (A, B), g s (C, D), and C i (E, F) were measured as a function of absorbed photosynthetic photon flux density (PPFDabs) in WT (black) and Y11y11 (grey) chamber-grown (A, C, E) and field-grown (B, D, F) soybean. Solid lines represent the mean and dashed lines represent the 95% confidence intervals (n=6 in A, C, E; n=4 in B, D, F).

While photosynthetic capacity and quantum efficiency were inhibited with the severe reductions in chl of chamber-grown plants, the field-grown chl reductions of 55% improved Y11y11 A sat by 18% (P<0.05; Table 2) and did not significantly inhibit any other parameters (Table 2). Additionally, Y11y11 field plants demonstrated greater photosynthetic light-use efficiency at mid- to high light levels, as demonstrated by greater photosynthetic rates per absorbed photon (Fig. 6B). This may in part have been due to greater g s in the mutant (Fig. 6C, D), which may be caused by a mutation in the gene encoding magnesium chelatase subunit-I (CHLI; Campbell et al. 2015) that results in ABA insensitivity (Tsuzuki et al., 2011; Du et al., 2012) independently of chl concentration (Du et al., 2012). Greater g s increases CO2 availability or C i, which was greater in the mutant compared to WT in both experiments (Fig. 6E, F). Although the increase in Y11y11 C i compared to WT C i occurred to a lesser extent in the field experiment (Fig. 6F) than the chamber experiment (Fig. 6E), it, along with differences in photosystem stoichiometry, still represents confounding effects on leaf photosynthetic capacity that deserves further examination in mutants without these pleiotropic effects.

Photosynthetic and photoprotective performance, as indicated by modulated chl fluorescence measurements, also varied by experiment. Both chl fluorescence parameters were reduced when chl content was reduced by ~80% in the chamber-grown Y11y11 mutant. Dark adapted F v/F m was not significantly altered by genotype in either experiment (Table 2), indicating no severe photodamage caused by the chl mutation. However, chamber-grown mutants exhibited lower ϕPSII and q P at higher light levels (Fig. 7C, G). ϕPSII is affected by end-product utilization. Accumulation of NADPH reduces the efficiency of QA oxidation (decreased F q/F v or q P) through lower linear electron flux, and a higher ATP/ADP ratio causes acidification of the lumen, which in turn decreases F v′/F m′ as NPQ increases (Baker, 2008). Build-up of NADPH and ATP in high light can occur for a variety of reasons, including decreased carboxylation capacity as was evident in chamber-grown Y11y11 (Table 2). This was coupled with a lower q P in Y11y11 at high light (Fig. 5E), indicating that limited QA oxidation (q P) was driving the decrease in ϕPSII (Fig. 5C). However, the negative effects of end-product build-up were not evident in chamber Y11y11 F v′/F m′ and NPQ measures at high light (Fig. 7A, E) and may be due to a limited photoprotective capacity in the mutant. NPQ is closely coupled with LHCII, the site of the xanthophyll cycle through which the majority of heat dissipation occurs (Ort, 2001). In the Y11y11 mutant, chl b is greatly reduced and correlates with a 20% reduction in chl per PSI and a 55–65% reduction in chl per PSII, resulting in a severe LHCII truncation that also results in a reduction in the carotenoids necessary for the xanthophyll cycle (Ghirardi and Melis, 1988; Table 1). These deficiencies could have therefore limited the expected increases in NPQ levels that should have occurred when light was in excess of carboxylation capacity. Impaired photoprotective mechanisms would be expected to decrease F v/F m; however, growth-chamber ambient light levels were less than half of full sunlight and probably prevented severe photoinhibition and a decrease in mutant F v/F m (Table 2).

Fig. 7.

Fig. 7.

Chl fluorescence parameters from light response curves. F v′/F m′ (A, B), ϕPSII (C, D), NPQ (E, F), and q P (G, H) were measured as a function of absorbed photosynthetic photon flux density (PPFDabs) in WT (black) and Y11y11 (grey) chamber-grown (A, C, E, G) and field-grown (B, D, F, H) soybean. Solid lines represent the mean and dashed lines represent the 95% confidence intervals (n=6).

Growing the two genotypes in the field showed positive effects of reducing chl content on leaf photosynthesis and photoprotection. ϕPSII and q P were significantly greater in the mutant at moderate light absorption (Fig. 7D, H), indicating slightly greater efficiency in the mutant. In the field mutant, NPQ was again lower and F v′/F m′ was greater than the WT at mid- to high light levels (Fig. 7B, F), but since these were accompanied by greater ϕPSII and q P, the results imply there was less over-saturation in the light-green leaves at high light as expected. This suggests the more even light distribution in light-green leaves could be increasing photosynthetic capacity and efficiency while decreasing the need for photoprotective mechanisms. These results, in comparison to the results from the chamber experiment, also suggest that a threshold of chl content and LHCII exists for optimal photoprotective mechanisms at high light.

Conclusions

This study determined that light sheet microscopy is an improved method to examine internal leaf light environments due to enhancing resolution, allowing illumination of either adaxial or abaxial leaf surfaces without additional set-up, and eliminating back-absorption of chl as well as photobleaching of out-of-focus planes. The results revealed a more gradual attenuation of light in the chl mutant as expected. Although measured light attenuation and modeled CO2 fixation profiles were more gradual in the mutants and should therefore result in greater photosynthetic capacity and efficiency, pleiotropic effects of the mutation probably prevented any definitive relationships. The severe reduction in mutant chl probably inhibited photosynthetic capacity and efficiency in the chamber experiment, while greater A sat and photosynthetic efficiency in the field-grown mutants was confounded with greater g s. Therefore, further examination of other chl mutants of varying chl reductions is needed to determine if the relationship between light distribution and light-use efficiency still exists in the absence of pleiotropic effects, such as extreme truncation of light-harvesting complexes and increased leaf carbon supply. It is likely that transgenic approaches targeting biosynthetic or regulatory steps in leaf chl accumulation, while avoiding large disturbances in chl a/b ratios, will be needed to make progress.

Supplementary Data

Supplementary data are available at JXB online.

Fig. S1. Light sheet microscopy set-up.

Fig. S2. Ratio of path length in low-chl plants compared to high-chl plants within species as a function of relative chl content in the low-chl plants.

Fig. S3. Western blots of Rubisco content in WT and Y11y11 field-grown soybean leaves.

Supplementary Data

Acknowledgements

We would like to thank Dr Eva Johannes at the NCSU Cellular and Molecular Imaging Facility and Glenn Fried at the UIUC-IGB Core Facilities for their assistance with microscopy techniques. We would also like to thank David Drag and Kannan Puthuval for their assistance in the experimental set-up.

References

  1. Allen JF, Forsberg J. 2001. Molecular recognition in thylakoid structure and function. Trends in Plant Science 6, 317–326. [DOI] [PubMed] [Google Scholar]
  2. Baker NR. 2008. Chlorophyll fluorescence: a probe of photosynthesis in vivo . Annual Review of Plant Biology 59, 89–113. [DOI] [PubMed] [Google Scholar]
  3. Campbell BW, Mani D, Curtin SJ, Slattery RA, Michno J-M, Ort DR, Schaus PJ, Palmer RG, Orf JH, Stupar RM. 2015. Identical substitutions in magnesium chelatase paralogs result in chlorophyll deficient soybean mutants. Genes|Genomes|Genetics 5, 123–131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Cui M, Vogelmann TC, Smith WK. 1991. Chlorophyll and light gradients in sun and shade leaves of Spinacia oleracea . Plant, Cell and Environment 14, 493–500. [Google Scholar]
  5. Du S-Y, Zhang X-F, Lu Z, Xin Q, Wu Z, Jiang T, Lu Y, Wang X-F, Zhang D-P. 2012. Roles of the different components of magnesium chelatase in abscisic acid signal transduction. Plant Molecular Biology 80, 519–537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Duyens LNM. 1956. The flattening of the absorption spectrum of suspensions, as compared to that of solutions. Biochimica et Biophysica Acta 19, 1–12. [DOI] [PubMed] [Google Scholar]
  7. Evans JR. 1995. Carbon fixation profiles do reflect light absorption profiles in leaves. Australian Journal of Plant Physiology 22, 865–873. [Google Scholar]
  8. Evans JR. 1999. Leaf anatomy enables more equal access to light and CO2 between chloroplasts. New Phytologist 143, 93–104. [Google Scholar]
  9. Evans JR, Vogelmann TC. 2003. Profiles of 14C fixation through spinach leaves in relation to light absorption and photosynthetic capacity. Plant, Cell and Environment 26, 547–560. [Google Scholar]
  10. Ghirardi ML, Melis A. 1988. Chlorophyll b deficiency in soybean mutants. I. Effects on photosystem stoichiometry and chlorophyll antenna size. Biochimica et Biophysica Acta (BBA) - Bioenergetics 932, 130–137. [Google Scholar]
  11. Han T, Vogelmann T, Nishio J. 1999. Profiles of photosynthetic oxygen-evolution within leaves of Spinacia oleracea . New Phytologist 143, 83–92. [Google Scholar]
  12. Hewitt EJ. 1966. Sand and water culture methods used in the study of plant nutrition. Technical Communication No. 22. London: Commonwealth Bureau. [Google Scholar]
  13. Huisken J, Swoger J, Bene F Del, Wittbrodt J, Stelzer EHK. 2004. Optical sectioning deep inside live embryos by selective plane illumination microscopy. Science 305, 1007–1009. [DOI] [PubMed] [Google Scholar]
  14. Jiang C, Rodermel SR, Shibles RM. 1997. Regulation of photosynthesis in developing leaves of soybean chlorophyll-deficient mutants. Photosynthesis Research 51, 185–192. [Google Scholar]
  15. Kok B. 1948. A critical consideration of the quantum yield of Chlorella photosynthesis. Enzymologia 13, 1–56. [Google Scholar]
  16. Lichtenthaler H. 1987. Chlorophylls and carotenoids: pigments of photosynthetic biomembranes. Methods in Enzymology 148, 350–382. [Google Scholar]
  17. Long SP, Bernacchi CJ. 2003. Gas exchange measurements, what can they tell us about the underlying limitations to photosynthesis? Procedures and sources of error. Journal of Experimental Botany 54, 2393–2401. [DOI] [PubMed] [Google Scholar]
  18. McClendon JH, Fukshansky L. 1990. On the interpretation of absorption spectra of leaves-II. The non-absorbed ray of the sieve effect and the mean optical pathlength in the remainder of the leaf. Photochemistry and Photobiology 51, 211–216. [Google Scholar]
  19. Nishio JN, Sun J, Vogelmann TC. 1993. Carbon fixation gradients across spinach leaves do not follow internal light gradients. The Plant Cell 5, 953–961. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Ogren E, Evans JR. 1993. Photosynthetic light-response curves I. The influence of CO2 partial pressure and leaf inversion. Planta 189, 182–190. [Google Scholar]
  21. Oguchi R, Douwstra P, Fujita T, Chow WS, Terashima I. 2011. Intra-leaf gradients of photoinhibition induced by different color lights: implications for the dual mechanisms of photoinhibition and for the application of conventional chlorophyll fluorometers. The New Phytologist 191, 146–159. [DOI] [PubMed] [Google Scholar]
  22. Ort DR. 2001. When there is too much light. Plant Physiology 125, 29–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Ort DR, Merchant SS, Alric J, et al. 2015. Redesigning photosynthesis to sustainably meet global food and bioenergy demand. Proceedings of the National Academy of Sciences, USA 112, 8529–8536. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Ort DR, Zhu X, Melis A. 2011. Optimizing antenna size to maximize photosynthetic efficiency. Plant Physiology 155, 79–85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Porra R, Thompson W, Kriedemann P. 1989. Determination of accurate extinctions coefficients and simultaneous equations for assaying chlorophylls a and b extracted with four different solvents: verification of the concentration of chlorophyll standards by atomic absorption spectrosc. Biochimica et Biophysica Acta 975, 384–394. [Google Scholar]
  26. Santi PA. 2011. Light sheet fluorescence microscopy: A review. The Journal of Histochemistry and Cytochemistry 59, 129–138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Schreiber U, Kühl M, Klimant I, Reising H. 1996. Measurement of chlorophyll fluorescence within leaves using a modified PAM Fluorometer with a fiber-optic microprobe. Photosynthesis Research 47, 103–109. [DOI] [PubMed] [Google Scholar]
  28. Sun J, Nishio JN, Vogelmann TC. 1998. Green light drives CO2 fixation deep within leaves. Plant and Cell Physiology 39, 1020–1026. [Google Scholar]
  29. Takahashi K. 1994. A system for imaging transverse distribution of scattered light and chlorophyll fluorescence in intact rice leaves. Plant, Cell and Environment 17, 105–110. [Google Scholar]
  30. Terashima I, Araya T, Miyazawa S-I, Sone K, Yano S. 2005. Construction and maintenance of the optimal photosynthetic systems of the leaf, herbaceous plant and tree: an eco-developmental treatise. Annals of botany 95, 507–519. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Terashima I, Fujita T, Inoue T, Chow WS, Oguchi R. 2009. Green light drives leaf photosynthesis more efficiently than red light in strong white light: revisiting the enigmatic question of why leaves are green. Plant and Cell Physiology 50, 684–697. [DOI] [PubMed] [Google Scholar]
  32. Terashima I, Hikosaka K. 1995. Comparative ecophysiology of leaf and canopy photosynthesis. Plant, Cell and Environment 18, 1111–1128. [Google Scholar]
  33. Terashima I, Inoue Y. 1984. Comparative photosynthetic properties of palisade tissue chloroplasts and spongy tissue chloroplasts of Camellia japonica L.: Functional adjustment of the photosynthetic apparatus to light environment within a leaf. Plant and Cell Physiology 25, 555–563. [Google Scholar]
  34. Terashima I, Inoue Y. 1985. a Vertical gradient in photosynthetic properties of spinach chloroplasts dependent on intra-leaf light environment. Plant and Cell Physiology 26, 781–785. [Google Scholar]
  35. Terashima I, Inoue Y. 1985. b Palisade tissue chloroplasts and spongy tissue chloroplasts in spinach: biochemical and ultrastructural differences. Plant and Cell Physiology 26, 63–75. [Google Scholar]
  36. Terashima I, Saeki T. 1983. Light environment within a leaf I. Optical properties of paradermal sections of Camellia leaves with special reference to differences in the optical properties of palisade and spongy tissues. Plant and Cell Physiology 24, 1493–1501. [Google Scholar]
  37. Terashima I, Saeki T. 1985. A new model for leaf photosynthesis incorporating the gradients of light environment and of photosynthetic properties of chloroplasts within a leaf. Annals of Botany 56, 489–499. [Google Scholar]
  38. Tsuzuki T, Takahashi K, Inoue S, Okigaki Y, Tomiyama M, Hossain MA, Shimazaki K, Murata Y, Kinoshita T. 2011. Mg-chelatase H subunit affects ABA signaling in stomatal guard cells, but is not an ABA receptor in Arabidopsis thaliana . Journal of Plant Research 124, 527–538. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Vogelmann T. 1993. Plant tissue optics. Annual Review of Plant Physiology and Plant Molecular Biology 44, 231–251. [Google Scholar]
  40. Vogelmann TC, Evans JR. 2002. Profiles of light absorption and chlorophyll within spinach. Plant, Cell and Environment 25, 1313–1323. [Google Scholar]
  41. Vogelmann TC, Martin G, Chen G, Buttry D. 1991. Fiber optic microprobes and measurement of the light microenvironment within plant tissues. Advances in Botanical Research 18, 255–295. [Google Scholar]
  42. Weber M, Mickoleit M, Huisken J. 2014. Light sheet microscopy. In: Waters JC, Wittman T, eds. Quantitative imaging in cell biology. San Diego, CA, USA: Elsevier Academic Press, Inc, 193–215. [Google Scholar]
  43. Xu D, Chen XM, Zhang LX, Wang RF, Hesketh JD. 1993. Leaf photosynthesis and chlorophyll fluorescence in a chlorophyll-deficient soybean mutant. Photosynthetica 29, 103–112. [Google Scholar]
  44. Zhu X-G, Long SP, Ort DR. 2010. Improving photosynthetic efficiency for greater yield. Annual Review of Plant Biology 61, 235–261. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Data

Articles from Journal of Experimental Botany are provided here courtesy of Oxford University Press

RESOURCES