Introduction

Once responsible for the largest extinction event known on earth, oxygenic photosynthesis now sustains most life through the generation of atmospheric oxygen, making it one of the most important biological mechanisms on the planet. Therefore it is of no surprise that photosynthetic metabolism has since evolved to be highly regulated and specific, enabling it to adapt to a variety of environmental stressors from the Archean eon to the modern age1. Of the most dangerous environmental stressors are those that result in the formation of reactive oxygen species (ROS), as the highly tuned electron transport mechanism relies on redox active metal cofactors to function effectively, including iron in cytochrome complexes b559 and b6f, iron-sulfur clusters in photosystem I (PSI) and ferredoxin, copper in plastocyanin, and manganese in the oxygen-evolving complex (OEC) of photosystem II (PSII)2,3,4,5. These metals have been evolutionarily ‘tuned’ to generate an average decreasing reduction potential throughout the photosynthetic electron transport chain (ETC), with electrons traveling energetically ‘downhill’ after being excited via photons at P680 in PSII until they reach plastocyanin. Then transferred to PSI, the electron is re-energized by another photon (via P700), allowing it to make the remaining electron transfers downhill again until it reaches ferredoxin reductase which then reduces nicotinamide adenine dinucleotide phosphate.

Environmental stressors, however, can disrupt this pathway due to either photoinhibition, wherein PSII is damaged via photooxidation and manganese ions are released from the OEC, or by the inhibition of PSII damage repair, which in turn disrupts the photoassembly of the OEC6,7. Additionally, these stressors often trigger the two modes of inhibition synergistically8,9,10. The exposure of the photosynthetic apparatus to metals, particularly redox-active transition metals, can result in an influx of damaging ROS, often caused by interactions with photosystems or their reaction intermediates. Metals including lead, cadmium, arsenic, and copper, among others, are known to inhibit photosynthesis and plant growth, decrease biosynthesis of pigment molecules, and decrease ETC phosphorylation, causing ETC dysregulation and dangerous ROS generation11,12,13,14. For example, increased copper exposure generates high levels of ROS, which then contribute to decreased chlorophyll biosynthesis, decreased photosynthetic efficiency and truncated growth, as well as structural and functional modifications to the light harvesting complexes (LHCs)15,16,17,18. Similarly, cadmium overexposure is associated with decreased cell yield, a severely decreased quantum efficiency, and the deactivation of non-photochemical quenching (NPQ), leading to increased photoexcitation and damage to the photosynthetic apparatus19,20,21. Iron is particularly damaging to photosystems as H2O2 and Fe(II) result in the Fenton reaction, producing \({\text{HO}}^{ \cdot }\) and\({\text{HO}}_{{2}}^{ \cdot }\) , arguably the most biologically damaging ROS22. These ROS cause severe damage to proteins, lipids, and DNA, and are therefore implicated in the iron-dependent oxidative stress that induces an abundance of lipid radicals in Chlorella vulgaris23. Thus while both copper and iron are essential to ETC function, they are toxic when applied in excess concentrations due to ROS-mediated damage. However, this is not observed in photosynthetic organisms exposed to excess manganese; previous research has revealed that high manganese concentrations enhance photosynthetic capacity without causing intracellular damage24. This study seeks to determine the mechanism(s) through which this enhancement occurs.

Previous photosynthetic studies on manganese exposure utilized oxygen evolution and chlorophyll a (Chl a) OJIP fluorescence to determine the photosynthetic efficiency of C. vulgaris cells exposed to 17.5 and 35.0 mM manganese24. While FV/FM is useful for determining the effect of stressors, it measures the average quantum efficiency of photosystems and does not provide insight concerning heterogeneity of the antennas or reducing site subpopulations of PSII. However, heterogeneity is critical in overall photosynthetic efficiency. The antennas of PSII are divided between PSIIα and PSIIβ reaction centers, where PSIIα refers to ‘super-complex’ light harvesting antennas with large antenna sizes and high degrees of connectivity located in the thylakoid grana and PSIIβ refers to ‘core complex’ light harvesting antennas with 2–3× smaller antennas and reduced connectivity located in the stroma-exposed region of the thylakoid25,26. The balance of these antenna systems determines the magnitude and efficiency of light absorption as well as the extent to which the inner chloroplast is shaded from sunlight. Simultaneously, PSII reaction centers exist as either QB reducing or QB non-reducing, the latter of which is incapable of contributing to the reduction of the plastoquinone pool and therefore do not contribute to overall electron flow27.

PSII heterogeneity is assessed through Chl fluorescence analysis, a widely-used non-invasive technique that provides fundamental information regarding the structure and function of PSII2,28,29,30. The rapid, highly sensitive, and non-destructive nature of Chl fluorescence makes it a useful technique for the analysis of biochemical stressors, including light stress, nutrient deprivation, and heavy metal contamination, among others31,32,33,34,35. In this study, we used a repertoire of Chl-analysis protocols in addition to oximetry to characterize the effects of elevated manganese concentrations on electron transfer efficiency, reducing site activity, and antenna heterogeneity of C. vulgaris. Based on our results, we propose that manganese enhances photosynthetic productivity in green algae and higher order plants and that excess manganese may facilitate protective mechanisms involved with photorepair and/or ROS scavenging. This suggests that manganese can be strategically used to increase the photosynthetic productivity of plant systems to enhance agricultural yield and/or carbon fixation.

Results

Photosynthetic performance and flux

Previous work revealed that C. vulgaris accumulated manganese beyond equilibrium concentrations and that exposure to elevated levels of manganese resulted in an increased photosynthetic capacity over time as measured using FV/FM, the quantum yield of primary photochemistry24. This enhanced photosynthetic performance accompanied a significant increase in intracellular and adsorbed manganese, despite little to no effect on the overall turbidity. In order to determine the mechanisms responsible for this enhanced performance, cells were grown to mid-exponential phase—the point at which cells have the highest chlorophyll content and are most photosynthetically efficient—and measured at a concentration of 2.5 µg mL−1 total pigments to ensure the differing pigment content did not affect results (Fig. 1)36,37. It is essential to control for total chlorophyll prior to taking fluorescent measurements, as chlorophyll provides a proxy for total photosystem number, where lower amounts of chlorophyll is associated with lower numbers of PSII (Supplemental Fig. 1). Normalizing to chlorophyll analyzed ensures measurements assess the efficiency as opposed to the quantity of photosystems. FV/FM was significantly increased and decreased in comparison to the control at 750 and 1000× manganese, respectively (Fig. 2a). More interesting, however, was the change in performance index on a per absorption basis (PIabs). As this parameter quantifies PSII activity normalized to total photon absorption, trapping of excitation energy, and conversion of energy to electron transport, it is a more accurate representation of photosynthetic activity38,39. The PIabs of the 500 and 750× manganese cultures were 2.1 and 2.4× higher than that of the control cultures (Fig. 2b). However, photosynthetic performance decreased dramatically in the 1000× manganese cultures, indicating that while increased manganese improves the photosynthetic performance to an extent, there is still a threshold at which overall activity is decreased.

Figure 1
figure 1

Pigment accumulation of C. vulgaris cultures exposed to increasing levels of manganese, divided into (a) Chl a, (b) Chl b, (c) carotenoids, (d) total pigment, and (e) ratio of Chl a/Chl b. All cells were measured in mid-exponential phase. The error bars represent standard error of the mean and statistical differences indicate a difference between the increased manganese and control cultures at one concentration. Significance determined by t-test is denoted by asterisks, where * indicates p ≤ 0.05, ** indicates p ≤ 0.01, *** indicates p ≤ 0.001, and **** indicates p ≤ 0.0001.

Figure 2
figure 2

The photosynthetic performance of the C. vulgaris exposed to increasing concentrations of manganese. The error bars represent standard error of the mean and statistical differences indicate a difference between the increased manganese and control cultures at one concentration. Significance is denoted by asterisks, where * indicates p ≤ 0.05, ** indicates p ≤ 0.01, *** indicates p ≤ 0.001, and **** indicates p ≤ 0.0001. (a) The FV/FM, measured through OJIP fluorescence. FV/FM is the quantum yield of PSII in a dark-adapted state. (b) The PIabs of cultures, measured through OJIP fluorescence and calculated through the JIP test. PIabs quantifies the activity of PSII while simultaneously considering photon absorption, trapping of excitation energy, and conversion of energy to electron transport.

In addition to an increasing performance index, exposure to increased manganese decreased the overall Chl fluorescence output. Both F0 and FM decreased as manganese concentration increased, with FM having an intensity of 1.755 ± 0.120 in the control cultures and an intensity of 1.128 ± 0.057 in the 1000× Mn cultures for a 36% depletion. These decreases could occur from either an increase in NPQ or an increased amount of active reducing reaction centers (or a combination of the two). However, the JIP test parameters indicate a more complex story (Fig. 3). All of the specific fluxes per reaction center decrease compared to the control, meaning the trapped energy (TR0/RC), electron transport flux (Et0/RC), dissipated energy flux (DI0/RC), and reduction of the acceptor side of PSI (RE0/RC) have all diminished. However, that is combined with an overall decrease in Abs/RC, the average absorbed photons per reaction center and an indicator of relative antenna size. Fewer photons would equate to less overall flux, but may increase the efficiency; in previously published work, Chlorella sp. mutants with truncated antenna complexes were more photosynthetically efficient, likely due to a reduction in shading and flux through NPQ40,41.

Figure 3
figure 3

A spiderweb plot of JIP test parameters calculate from OJIP fluorescence measurements, in which the control cultures have been normalized to 1. For a review on JIP test parameters, see Stirbet et al.87.

Another decreased flux is indicated by M0, the approximate initial slope of the OJ phase representing the rate of primary photochemistry to QA (Fig. 3). M0 is inversely proportional to the rate of initial reaction center closure; thus, increased manganese slowed the rate of plastoquinone pool reduction. This was further supported by the increase in SM across all manganese concentrations. SM is the normalized area over the OJIP curve and is assumed to be proportional to the number of reductions and oxidations of one QA throughout the duration of the OJIP transient, allowing it to serve as an approximate number of electron carriers per ETC42,43. However, it is important to note that there is not a consensus in the correlation between SM and the relative size of the reducing pool, as others have postulated that QA is fully reduced by the J step44. However, based on the summarized data, it appears that while photons absorbed per reaction center has seemingly decreased, the overall flux through the ETC has increased, therefore indicating an increase in active reaction centers.

Reducing centers

Several fluorescence protocols enable the comparison of reaction center activity. In order to determine the relative amount of active QA sites, the initial point of electron transport in PSII, the cells were exposed to DCMU, an herbicide that selectively binds to the QB site of PSII and inhibits electron transfer45,46,47. The resulting fluorescent transient reaches its maximum output once all QA sites are reduced and does not allow for PSII turnover, generating a plot with an initial slope that inversely correlates to the relative amount of active QA sites within a sample (Fig. 4). Manganese appears to increase the activity of QA reducing centers, peaking at the 1000× manganese concentration with a 25% increase over the control. The relative number of non-reducing QB sites were determined using the double hit method for collecting the OJIP fluorescence transient. Similar to the QA reducing activity, the B0, or relative amount of non-reducing QB sites, decreases as the concentration of manganese increases, with peak activity occurring at 750× manganese (Fig. 5a). The 1000× manganese cultures are also less active compared to the 500× and 750× manganese cultures, but, unlike the QA sites, do not surpass the control cultures, demonstrating an increased activity of QB even at 70 mM manganese.

Figure 4
figure 4

(a) The resulting Chl a transients following in vivo inhibition with DCMU. The curve is normalized where F0 = 0 and FM = 1. The initial slope of the curve correlates to the time it takes to reduce the available QA centers. (b) The initial slope of the DCMU-inhibited Chl a transients. The error bars represent standard error of the mean and statistical differences indicate a difference between the increased manganese and control cultures at one concentration. Significance is denoted by asterisks, where * indicates p ≤ 0.05, ** indicates p ≤ 0.01, *** indicates p ≤ 0.001, and **** indicates p ≤ 0.0001.

Figure 5
figure 5

Measurements of PSII reducing activity. The error bars represent standard error of the mean and statistical differences indicate a difference between the increased manganese and control cultures at one concentration. Significance is denoted by asterisks, where * indicates p ≤ 0.05, ** indicates p ≤ 0.01, *** indicates p ≤ 0.001, and **** indicates p ≤ 0.0001. (a) The B0 of C. vulgaris exposed to increasing concentrations of manganese, indicating the quantity of QB non-reducing centers in the sample. (b) The PSIIX reaction centers as measured through difference in S4 of the S-state cycle. (c) The percent of non-silent reaction centers, calculated using parameters from the JIP test. (d) The flux of electrons through PSII, measured using pulse amplitude modulated fluorometry. (e) The relative amount of NPQ in cells exposed to increasing levels of manganese, measured using pulse amplitude modulated fluorometry. (f) The oxygen production of cells exposed to increasing concentration of manganese, measured using a Clark-type electrode.

In order to understand the full effect of QA and QB activity, it is necessary to comprehensively measure the activity of PSII reaction centers. Previous studies have accomplished this through measurements of S-state populations, wherein the fluorescence decay after the fourth flash is controlled almost entirely by PSIIX48,49,50. When measured using the difference between S4 and S0 of the S-state cycle, it would appear that PSIIX (relative inactive PSII) were increasing, despite noted increases to reducing center activity (Fig. 5b). However, these differences did not show statistical significance, a problem described in a previous study of C. vulgaris exposed to excess lead32. When using the OJIP method to determine the percent of non-silent reaction centers (Eq. 5), all concentrations 500× and over increased in overall activity, with the 750× manganese showing a peak activity 68% higher than that of the control (Fig. 5c). While the 1000× manganese cultures revealed a significantly increased percent of silent reaction centers when compared to the 750× Mn, this concentration still possessed a higher activity that the control, thus showing a correlation between manganese and increased PSII activity. The enhanced reaction center activity of PSII is further corroborated using PAM fluorescence, through which electron flux through PSII (YII) were significantly increased at both 500 and 750× manganese (Fig. 5d), indicating that absorbed photons are being increasingly utilized to propel photosynthetic electron transfer rather than dissipated via NPQ and/or fluorescence under excess manganese exposure. This was also observed through measuring oxygen production, which showed significant increases at 500, 750, and 1000× manganese (Fig. 5f). These measurements were taken at high light intensity in order to ensure for total PSII saturation, which correlates oxygen production to the number of total active PSII in a given sample. Thus the increase in oxygen likely correlates to more active PSII upon exposure to increased manganese, thus suggesting that excess manganese contributes to a healthier and more active ETC. Therefore, despite the discrepancy revealed through S-state cycle measurements, the data supports an overall increased activity of PSII reaction centers when C. vulgaris is grown in elevated manganese concentrations.

Antenna complexes

Increased photosynthetic efficiency could be dependent on the activity of PSII reaction centers as well as the absorptivity of antenna complexes. Antenna complexes are measured through Chl a fluorescence induction, which calculates the average photons absorbed per reaction center (ABS/RC) to approximate the apparent antenna size. Larger antennae will increase absorption capacity for photons, thus increasing ABS/RC. As the concentration of manganese increased, the ABS/RC decreased, reaching its plateau at 750× manganese with a 40% decrease in size compared to the control and suggesting an inversely proportional relationship between manganese concentration and antenna size (Fig. 6a). However, PSII antennas are not stagnant: antenna complexes are dynamic and fluctuate in size and position as PSIIα often converts to the smaller PSIIβ under stress conditions and the antenna complexes shift between state 2 and state 1. Thus, a decrease in antenna size could be the result of these phenomena. To determine the relative proportion of PSIIα to PSIIβ, we used fast fluorescence induction (FFI), which implements a single turnover saturating flash to induce rapid QA reduction51. Interestingly, FFI revealed an overall decrease in PSIIβ centers (Fig. 6b). This indicates that although Chl content and ABS/RC are both diminished in cultures exposed to excess manganese, they are still primarily relying on PSIIα supercomplexes, therefore suggesting that the decreased antenna size is from a decreased number of antennas and associated reactions centers rather than interconversion to smaller complexes.

Figure 6
figure 6

Measurements of relative antenna size in C. vulgaris exposed to increasing concentrations of manganese. The error bars represent standard error of the mean and statistical differences indicate a difference between the increased manganese and control cultures at one concentration. Significance is denoted by asterisks, where * indicates p ≤ 0.05, ** indicates p ≤ 0.01, *** indicates p ≤ 0.001, and **** indicates p ≤ 0.0001. (a) The absorption of chlorophyll antennae on a per reaction basis, indicating the relative antenna size and measured through OJIP fluorescence. (b) The percent of PSIIβ centers as measured through flash fluorescence induction.

To further analyze the manganese-induced changes to the antenna complexes, low temperature (77 K) fluorescence spectroscopy was used to assess the distribution between LHCI and LHCII and its dependence on manganese concentration. Low temperature fluorescence results in a dual peaked trace with maxima at 685 nm and 730 nm, and has been used to distinguish the presence of state 1 and state 2 transitions in vivo, through which state 1 is shown through a shift toward lower wavelengths52. These transitions enable a more finely tuned balance of light absorption by the photosystems and allow rapid acclimation to changes in light intensity, making state transitions a key component of photoprotection53,54. Previous research has isolated the component parts of the photosynthetic cores and LHCs in order to distinguish their contributions to the overall spectra55,56,57,58,59. Thus, by assuming a non-linear Gaussian distribution and aligning to the best fit, the component peaks representing LHCII (681 nm), CP47/CP43 (686.5 nm), CP47 (695.5 nm), PSI core (721.5 nm), and LHCI (735 nm) could be individually assessed (Table 1, Supplemental Fig. 2). This revealed a decrease in PSII-associated LHCII at the 250×, 500×, and 750× manganese concentrations, mirroring that which was described from the decreasing ABS/RC and correlating manganese with decreased antenna size. By taking the ratio of the LHCII:LHCI peaks, it is possible to delineate relative number of antennas associated with PSII compared to PSI, which can suggest the prominence of PSII-initiated linear electron flow relative to PSI-initiated cyclic electron transfer. As the concentration of Mn increases, the LHCII:LHCI ratio increases, with significantly increased ratios at 250× (p = 0.02) and 500× (p = 0.01) manganese. The rising LHCII:LHCI ratio demonstrates that manganese either promotes an ETC that is increasingly reliant on PSI-initiated light harvesting, or that that C. vulgaris grown in excess manganese exhibits fewer LHCII antenna complexes. The latter is more likely as the cultures with increased manganese had lower levels of pigment accumulation (Fig. 1) and the aforementioned decreased ABS/RC (Fig. 6a). This is complicated by the decrease in PSIIβ centers (Fig. 6b); however, since multiple photosystems can receive photons from one supercomplex, it is possible that fewer overall LHCs are needed in the higher Mn cultures.

Table 1 The integration (μ) of the peaks deconvoluted from the 77 -K spectra (n = 4) and the potential deviation from the model (δ).

Discussion

While photosynthesis and light harvesting relies on several important metal cofactors, excess exposure to many of them—including copper, iron, and magnesium—leads to disruption of the photosynthetic ETC60,61. Our results indicate that this is not the case with manganese: in fact, overall performance increases with increasing manganese concentrations (Fig. 2b). Based on fluorescence measurements, this is facilitated by an increase in the activity of reaction centers paired with a decrease in PSIIβ complexes and decrease in average antenna size (Figs. 5, 6). This increased activity could result from an increase in manganese concentration within the chloroplast itself. While determining subcellular localization was outside the scope of this study, previous studies in algae have shown a tendency for metals to accumulate both in cell walls as well as in plastids62,63,64. Furthermore, our previous work determined that C. vulgaris accumulates intracellular manganese up to 55× the surrounding medium, suggesting that these manganese stores may be compartmentalized into an organelle or complexed in order to vastly exceed equilibrium concentrations24. Chloroplastic storage could be facilitated by plastidal manganese transporters. Chlamydomonas reinhardtii, a model green alga, encodes two distinct chloroplastic manganese transporters via PAM71-HL and CGLD165,66,67. However, these proteins are not found in the Chlorella genome; a BLAST search resulted in no matches over a 50% similarity threshold. Unfortunately, the limited genetic annotation of C. vulgaris prohibits thorough understanding of the genetic and proteomic regulation that could increase manganese stores outside of equilibrium.

OEC assembly is not facilitated by protein chaperones, but requires a redox potential similar to that of Chl a, enabling the initial Mn2+ to Mn3+ oxidation to occur on the surface of PSII68. Thus enhanced manganese concentration in the chloroplast could increase the accessibility of manganese for PSII binding sites, and push the reaction kinetics forward toward more efficient de novo OEC synthesis, thus increasing the rate of photoassembly. These increases in photoassembly efficiency may then contribute to the observed performance increases by enabling more efficient rate of photorepair following the turnover of PSII D1 dimers69,70. Photoinhibition and the subsequent photorepair cycle is inevitable, and the overall efficiency of the photosynthetic apparatus is dependent on the difference between the rate of photoinhibited and photorepaired PSII71. Increasing the efficiency of this photorepair would therefore generate a net increase in active PSII units compared to basal conditions, potentially increasing the overall performance and resulting in the increased activity observed herein. This is supported by studies that have shown manganese-deficient plants to decrease in photosynthetic efficiency due to PSII structural instability, with the magnitude of instability related to manganese binding affinity to PSII and suggesting that photorepair is, in part, concentration dependent72. However, since PSII repair requires the translation of D1 subunits directly into the membrane, it is likely that the synthesis and insertion of D1 is rate-limiting68. Therefore, it is likely that increased manganese concentration has a threshold for increasing repair efficiency, as shown here through the decreased photosynthetic flux at the higher concentrations of manganese.

The likelihood that photorepair efficiency has improved is further supported by the decrease in PSIIβ complexes. Previous research has determined that PSIIβ complexes are localized to the stroma lamellae of the chloroplast, in which damaged PSII monomers are repaired and new PSII units are synthesized73,74,75. Thus a decreasing amount of PSIIβ could indicate a faster flux out of the stroma lamellae. The decreased PSII-bound LHCII complexes in the higher Mn cultures as revealed by the low temperature fluorescence supports this further, as complexes could more easily share LHCII super complexes if there is less flux toward PSII repair. However, this switch to a predominantly LHCI-based system could also be an artifact of the enhanced PSII activity. If the flux of electrons through PSII increases due to increasing reducing center activity, the plastoquinone pool will then become oxidized faster. This would then increase the flow of electrons toward the downstream proteins, potentially enhancing the turnover rate of PSI. Ergo the switch to PSI-bound LHCI may be generated from the increased rate of oxidation at the acceptor side of PSII as the entire photosynthetic electron transport chain moves electrons at a faster overall flux.

Another possibility is that the manganese is helping protect the photosynthetic ETC from sustaining damage in the first place, which may explain why the level of YII increases while the NPQ remains unchanged across concentrations (Fig. 5d, e). While unexplored in algae, manganese has been shown to increase oxidative stress resistance in organisms with active superoxide dismutase enzymes in a manner dependent on high manganese/iron ratios within the cell, allowing such a boost in antioxidant capacity that it helped facilitate resistance to gamma-radiation76,77,78. Furthermore, it was shown that this manganese-facilitated resistance protected proteins, not DNA; thus, manganese may have a role in protecting proteinaceous components of the photosynthetic ETC from oxidation in C. vulgaris79. Additionally, adding excess manganese to the growth media of yeast with lethal superoxide dismutase knockouts rescued the phenotype, allowing growth under aerobic conditions and increasing scavenging activity with no change in enzymatic catalase or peroxidase activities80. Manganese is also capable of catalase-like activity and can disproportionate H2O2 in the presence of bicarbonate, independent of enzymatic processes81. Furthermore, manganese can form non-proteinaceous complexes through mixtures of phosphate, peptides, carbohydrates, and nucleoside bases, with which it can actively scavenge superoxide radicals82,83,84. Manganous phosphate salts are particularly effective, as they rapidly catalyze the scavenging of superoxide radicals using a mechanism completely distinct from that of superoxide dismutases, in which Mn2+ reacts to form a short-lived MnO2+ before disproportionating to form manganese phosphate, dioxygen, and hydrogen peroxide85. Further studies are needed to determine if increased reducing activity is due to an increase in photorepair efficiency, a decrease in photoinhibition, or a combination of the two.

Materials and methods

Strain and culture growth conditions

Cultures of C. vulgaris (Carolina Biological Supply) were maintained on lysogeny broth agar plates and for batch cultures, inoculated into 25 mL of modified Chlorella medium supplemented with 20 g L−1 dextrose. All cultures were grown in 50-mL sterile Erlenmeyer flasks capped with aluminum foil37. Cultures were grown in triplicate, using a 1-mL inoculum from a stationary phase culture and kept under constant white light at 30 µmol photons m−2 s−1 via an LED light at 25 °C with an orbital rotational speed of 100 rpm (verified using a tachometer).

Experimental design

Prior to culture inoculation, manganese-deprived modified Chlorella medium (containing 20 g L−1 dextrose) was dosed with an autoclaved stock of MnCl2 and ultrapure H2O, ensuring that all cultures had equal concentrations of all other medium components. The control cultures’ media was dosed to generate a working concentration of 0.070 mM MnCl2, the standard concentration for modified Chlorella medium37. Experimental cultures’ media were 250× (17.5 mM) to 1000× (70.0 mM) the control with an n = 6. Cultures were maintained under constant light and grown until they reached mid-exponential phase, shown through a spectroscopic cell density of between 8 and 10 AU and peak pigment concentration for that particular experimental group. Mid-exponential phase was chosen to assay each culture at its peak photosynthetic productivity.

Spectroscopic cell density

Cell density (turbidity) was obtained using a Shimadzu UV-1800 spectrophotometer (Shimadzu Corp., Kyoto, JP) at 750 nm as previously described37,86.

Pigment extraction

Pigments were extracted using DMSO as previously described and measured from 470 to 700 nm37. Chl a, chlorophyll b (Chl b), and total carotenoids were calculated using the following equations86:

$$ \left[ {{\text{Chl}}a} \right] = \left( {{12}.{47 } \times {\text{ Abs}}_{{{665}.{1}}} } \right){-}\left( {{3}.{62 } \times {\text{ Abs}}_{{{649}.{1}}} } \right) $$
(1)
$$ \left[ {{\text{Chl}}b} \right] = \left( {{25}.0{6 } \times {\text{ Abs}}_{{{649}.{1}}} } \right){-}\left( {{6}.{5 } \times {\text{ Abs}}_{{{665}.{1}}} } \right) $$
(2)
$$ \left[ {{\text{Carotenoids}}} \right] = \, {{\left[ {\left( {{1}000 \, \times {\text{ Abs}}_{{{48}0}} } \right){-}\left( {{1}.{29 } \times \, \left[ {{\text{Chl}}a} \right]} \right){-}\left( {{53}.{78 } \times \, \left[ {{\text{Chl}}b} \right]} \right)} \right]} \mathord{\left/ {\vphantom {{\left[ {\left( {{1}000 \, \times {\text{ Abs}}_{{{48}0}} } \right){-}\left( {{1}.{29 } \times \, \left[ {{\text{Chl}}a} \right]} \right){-}\left( {{53}.{78 } \times \, \left[ {{\text{Chl}}b} \right]} \right)} \right]} {{22}0}}} \right. \kern-0pt} {{22}0}} $$
(3)

Photosynthetic electron transfer fluxes

Photosynthetic electron transfer fluxes were inferred from in vivo Chl a fluorescence using a Photon Systems Instruments FL 3500 fluorometer following a 5 min dark adaptation as previously described36. To ensure reproducibility between samples, algal cultures were diluted to 2.5 µg mL−1 total pigments using medium of the same manganese concentration before dark adaptation and subsequent measurements. The OJIP protocol included a 1-s actinic illumination using a 630-nm light at an intensity of 2400 µmol photons m−2 s−1. Fluorometry parameters (JIP test) were calculated as previously outlined (Stirbet et al.87).

Determination of reducing center activity

To further increase understanding of the mechanisms at work and to estimate the relative amount of QB non-reducing centers, the double hit method was used, collecting Chl a fluorescence data at two subsequent 1-s pulses32,34,88. This method generates sequential OJIP transients that can be separated and normalized to t = 0. While the first pulse was conducted following dark adaptation, meaning that all the reaction centers were open, the second pulse will only excite so-called ‘fast-opening’ reaction centers, allowing for the calculation of non-reducing centers (centers which are unable to open in time for the second pulse) using the equation:

$$ {\text{B}}_{0} = \, \left( {{\text{F}}_{{\text{V}}} /{\text{F}}_{{\text{M}}} {-}{\text{ F}}_{{\text{V}}} */{\text{F}}_{{\text{M}}} *} \right)/{\text{F}}_{{\text{V}}} /{\text{F}}_{{\text{M}}} $$
(4)

where FV/FM is derived from the first pulse and FV*/FM* is derived from the second pulse.

The redox state of the OEC can be determined using short, actinic light flashes to sequentially advance from S0 to S4, where each S-state represents a progressively more oxidized state of the OEC89,90. The contribution of inactive PSII (PSIIX) centers can be estimated by the difference between the S4 S0 fluorescence decay and the initial F0, since the fluorescence decay following the fourth flash is primarily controlled by inactive centers48,91. S-states were measured through 4 saturating flashes at 80,000 µmol photons m−2 s−1 voltage that were 100 µs in duration and 300 ms apart, each causing a single turnover of PSII32. Cells were dark adapted for 5 min prior to measurements.

In addition to quantifying inactive QB centers, active QA reducing centers were quantified through the inhibition of PSII with 3-(3,4-dichlorophenyl)-1,1-dimethylurea (DCMU), a selective inhibitor that blocks the QB site92,93,94. When DCMU-inhibited cells are measured for Chl a fluorescence, the normal polyphasic transient is replaced by a single-phase plateau, indicating the single turnover of QA to QA-. By comparing the slope of the normalized curve when t = 300 μs, it is possible to infer the relative number of active reducing centers, as a decreased slope would indicate a longer time needed to reduce all QA, therefore suggesting an overall increase in activity39. Dark adapted samples were exposed to 50 mM DCMU prepared in DMSO for 10 min before measuring using the same protocol used for the JIP test. DCMU was prepared as a 1.5 M stock and combined with cell media to form a 1 mL solution to maintain DMSO concentrations below 5% and prevent damage to photosynthetic proteins. GraphPad Prism v.7.01 was used to perform the integrations following normalization32.

It is also possible to calculate active QA centers using JIP test parameters, in which the absorption flux per reaction center (ABS/RC) is used in the following equation30,32,95,96:

$$ {\text{RC}}^{{{\text{si}}}} = \left[ {1 - { }\frac{{\frac{{{\text{ABS}}}}{{{\text{RC}}}}{\text{control}}}}{{\frac{{{\text{ABS}}}}{{{\text{RC}}}} \uparrow {\text{Mn}}^{2 + } }}{ }} \right] \times 100 $$
(5)

For control (0.07 mM manganese) cultures, the average ABS/RC of all cultures was used as the control, in order to determine the overall standard error in activity. In order to report increases in activity, the RCsi value was multiplied by − 1 and added to 100, resulting in a measurement of percent activity as compared to the control condition.

Last, the size of the reducing pool can be estimated by calculating the normalized complimentary area over the OJIP curve; since this area is assumed to be proportional to the number of reductions and oxidations of one QA center, it enables relative comparison of the number of electron carriers along the ETC39,97. To calculate the normalized area, the OJIP was double normalized where FO = 0 and FP = 1 before using GraphPad Prism v.7.01 to calculate the complementary area above the curve. To allow comparisons between experimental groups, the area was divided by the variable fluorescence.

Non-photochemical quenching analysis

Quenching analysis was used on dark-adapted cells with an actinic intensity of 300 µmol photons m−2 s−1, a saturating pulse intensity of 64,000 µmol photons m−2 s−1, and a measuring flash voltage of 80%. There was a dark relaxation duration of 20 s between pulses98. Photochemical coefficients were calculated as previously reported39.

Antenna size and heterogeneity

Antenna size was estimated by the calculation of Abs/RC by the following equation33,39:

$$ \frac{{{\text{ABS}}}}{{{\text{RC}}}} = \frac{{4\left( {{\text{F}}_{{300{\text{us}}}} - {\text{F}}_{0} } \right)}}{{{\text{F}}_{{\text{V}}} }}{ } \times { }\frac{1}{{{\text{F}}_{{2{\text{ms}}}} - {\text{ F}}_{0} }} \times \frac{1}{{{{\varphi }}_{{{\text{P}}0}} }} $$
(6)

While this parameter gives a relative size difference of antenna complexes attached to active centers, it does not show the influence of different antenna types. To determine the partitioning between PSIIα and PSIIβ centers, flash fluorescence induction (FFI) analysis was performed after applying a 50 µs single-turnover flash using the 100% relative flash energy on the instrument with the detector sensitivity set at 3%, as outlined in previously published research32,35,51. The area over the double normalized curves was integrated using OriginPro (OriginLab, Northampton, MA) and used to generate a semi-log plot consisting of a fast, sigmoidal phase attributed to PSIIα and a slow, linear phase attributed to PSIIβ. The intercept of these two phases reflects the proportion of PSIIβ reaction centers35,99,100,101.

Analysis of state transitions

State transitions were analyzed using a home-built tabletop 77 K fluorescence spectrometer as previously published, using the FLAME-S spectrophotometer in place of the JAZ-EL200 (Ocean Optics, Largo, FL)102. Cell cultures were diluted to 3 µg mL−1 Chl a with ultrapure water and immediately frozen in liquid N2. Chlorophyll were excited using a wavelength of 435 nm and spectra were collected with an integration time of 350 ms and averaged over 16 scans. Peaks for the 77-K fluorescence spectra were determined in OriginPro 2019b using the Multiple Peak Fit tool. Briefly, data were subjected to multiple Gauss fittings in NLFit with Auto Parameter Initialization, six peaks were necessary to account for the area under the spectral envelope.

Oxygen-evolving complex activity

Photosynthetic oxygen production was measured using a Clark-type oxygen electrode (Oxygraph; Hansatech, UK) at 25 °C as previously described36. Oxygen measurements were conducted by exposing 1:1 media diluted cell suspension in modified Chlorella media to a 1700-µmol photons· m−2 s−1 white light after a 5-min dark adaptation phase. High light intensity was chosen in order to ensure light saturation of PSII—the initial rate of oxygen production was measured, normalized to Chl a, and used for comparison across culture conditions.

Statistical analysis

Statistical analyses were performed with GraphPad Prism 7.01 (GraphPad Software, Inc.). Data were analyzed through a one-way Kruskal–Wallis test, comparing each experimental group to that of the control. The family-wise error rate for each figure was maintained at 0.05 using the Holm-Bonferroni method. Statistical significance is indicated numerically through increasing asterisks, where * indicates p ≤ 0.05, ** indicates p ≤ 0.01, *** indicates p ≤ 0.005, and **** indicates p ≤ 0.001. Figures show the means of data (n = 6) and the error bars denote the standard error of the measurement, unless otherwise stated.