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Open Access

Peer-reviewed

Research Article

Iron and manganese co-limit growth of the Southern Ocean diatom Chaetoceros debilis

  • Franziska Pausch ,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Visualization, Writing – original draft, Writing – review & editing

    Franziska.Pausch@awi.de

    Affiliations EcoTrace, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany, Marine Botany, University of Bremen, Bremen, Germany

    ⨯
  • Kai Bischof,

    Roles Writing – original draft, Writing – review & editing

    Affiliation Marine Botany, University of Bremen, Bremen, Germany

    ⨯
  • Scarlett Trimborn

    Roles Conceptualization, Data curation, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing

    Affiliations EcoTrace, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany, Marine Botany, University of Bremen, Bremen, Germany

    ⨯

Abstract

In some parts of the Southern Ocean (SO), even though low surface concentrations of iron (Fe) and manganese (Mn) indicate FeMn co-limitation, we still lack an understanding on how Mn and Fe availability influences SO phytoplankton ecophysiology. Therefore, this study investigated the effects of Fe and Mn limitation alone as well as their combination on growth, photophysiology and particulate organic carbon production of the bloom-forming Antarctic diatom Chaetoceros debilis. Our results clearly show that growth, photochemical efficiency and carbon production of C. debilis were co-limited by Fe and Mn as highest values were only reached when both nutrients were provided. Even though Mn-deficient cells had higher photochemical efficiencies than Fe-limited ones, they, however, displayed similar low growth and POC production rates, indicating that Mn limitation alone drastically impeded the cell’s performance. These results demonstrate that similar to low Fe concentrations, low Mn availability inhibits growth and carbon production of C. debilis. As a result from different species-specific trace metal requirements, SO phytoplankton species distribution and productivity may therefore not solely depend on the input of Fe alone, but also critically on Mn acting together as important drivers of SO phytoplankton ecology and biogeochemistry.

Citation: Pausch F, Bischof K, Trimborn S (2019) Iron and manganese co-limit growth of the Southern Ocean diatom Chaetoceros debilis. PLoS ONE 14(9): e0221959. https://doi.org/10.1371/journal.pone.0221959

Editor: Bruno Jesus, University of Nantes, FRANCE

Received: March 13, 2019; Accepted: August 19, 2019; Published: September 16, 2019

Copyright: © 2019 Pausch et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are available from Pangaea at: Pausch, Franziska; Bischof, Kai; Trimborn, Scarlett (2019): The Southern Ocean diatom Chaetoceros debilis is limited in growth by iron and manganese together. PANGAEA, https://doi.org/10.1594/PANGAEA.905473.

Funding: ST and FP were funded by the Helmholtz Impulse Fond (HGF Young Investigators Group EcoTrace, VH-NG-901). ST was funded by Deutsche Forschungsgemeinschaft (TR 899/4-1). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Large parts of the Southern Ocean (SO) are classified as high-nutrient, low-chlorophyll regions due to the observed low phytoplankton productivity despite high concentrations of macronutrients. The low biomass in these areas results from the very low concentrations of the trace metal iron (Fe) [1], which is required for the optimal growth and cellular function of phytoplankton [2–6]. Fe is integrated in photosystem I and II (PSI and II) and is used in redox reactions in many pathways of the cell, including the electron transport chains of photosynthesis and respiration [4,6,7]. Much less is known whether manganese (Mn) limits or co-limits phytoplankton growth alongside with Fe in the SO [5]. Fe and Mn enter the SO from several sources including atmospheric dust [8,9], upwelling [10], sediments [11,12] and melting of glaciers [13] and sea ice[14]. The flux of mineral-aerosol Fe and Mn into SO waters is probably lower than anywhere else on Earth [1,15]. In fact, concentrations of dissolved Mn in waters of the Drake Passage [16,17] and the Weddell Sea [18] were found to be as low as dissolved Fe concentrations, being generally below 0.4 nmol L-1 and potentially (co-)limiting with Fe. Indeed, growth and species composition of phytoplankton assemblages from the Weddell-Scotia Confluence were found to be influenced by enrichment with Fe or Mn alone [19]. Following ash additions to natural phytoplankton assemblages of the Drake Passage, a more significant stimulation of photosynthetic activity and biomass was observed relative to those amended only with Fe [17]. The ash released significantly more Mn than Fe, therefore the strong phytoplankton growth response to ash potentially resulted from the relief of manganese (co-)limitation. According to the three different definitions of co-limitation by [20], the study by [17] hints towards a Type I co-limitation, where two different nutrients do not have the same biochemical function, but are both required for optimal growth. Hence, based on results of the ash-addition experiments Mn can act as a limiting nutrient with Fe in certain parts of the SO. The spatial patterns of Fe-Mn co-limitation across the SO, however, remain largely untested [5].

Manganese is the second most abundant trace metal in thylakoids after Fe [3]. It is essential for phytoplankton growth [21] as it is required in the water-splitting complex of PSII where four Mn ions are involved in the oxidation of water [2]. It is further needed for the antioxidant enzyme superoxide dismutase (SOD), which detoxifies reactive oxygen species (ROS) and prevents cell damage [6,22–24]. To date, the influence of Mn-deficiency on phytoplankton physiology was investigated only in the temperate diatoms Thalassiosira pseudonana, Thalassiosira weissflogii and Thalassiosira oceanica [22,25,26]. These studies revealed that low concentrations of either Fe or Mn alone reduced growth of T. pseudonana and T. oceanica and that only with the addition of both metals together highest growth rates were reached, hence demonstrating that both diatoms were co-limited by Fe and Mn [22]. Considering the lack of knowledge on the effects of Fe-Mn co-limitation in particular on Antarctic phytoplankton physiology, the purpose of this study was to elucidate whether Fe and Mn can co-limit the ecologically relevant Antarctic diatom Chaetoceros debilis. The latter forms large phytoplankton blooms during spring time [27] and therefore contributes strongly to carbon export in the SO [28]. The strain used for this study was isolated during the European iron fertilization experiment (EIFEX) where it was one of the two species with a continuous exponential growth stimulated by Fe fertilization [29]. The same species also dominated the phytoplankton community after the Fe fertilization experiment SEEDS in the North East Pacific [30]. In this study, the responses in growth rate, photophysiology, pigment composition and particulate organic carbon production of C. debilis were assessed under altered Fe and Mn availability.

Material and methods

Culture conditions

Fe-Mn manipulation experiments were performed with the Antarctic diatom Chaetoceros debilis (Polarstern expedition ‘EIFEX’ ANT-XXI/3, In-Patch, 2004, 49° 36 S, 02° 05 E, isolated by Philipp Assmy) which was grown in stock cultures with Fe- and Mn-enriched natural Antarctic seawater (F/2R medium [31]). For the pre-acclimation phase and the main experiment, dilute batch cultures of C. debilis were transferred into natural FeMn-poor Antarctic seawater (sampled during Polarstern expedition ANT29-2 on September, 20, 2013, 60° 32' S 26° 29' W, Table 1). This seawater was sterile filtered through acid-cleaned filter cartridges (0.2 μm, Sartobran, Sartorius) and spiked with chelexed (Chelex 100, Sigma Aldrich, Merck) macronutrients (100 μmol L-1 Si, 100 μmol L-1 NO3-, and 6.25 μmol L-1 PO43-) and vitamins (30 nmol L-1 B1, 23 nmol L-1 B7, and 0.228 nmol L-1 B12) according to F/2R medium [31]. To represent trace metal concentrations typical for Antarctic high nutrient low chlorophyll waters, a mixture of zinc (0.16 nmol L-1), copper (0.08 nmol L-1), cobalt (0.09 nmol L-1 Co), molybdenum (0.05 nmol L-1) was added and adjusted to maintain the ratio of the original F/2 recipe. Our experimental treatments consisted of four different combinations of Fe and Mn concentrations of the culture medium (Table 1) without any Fe or Mn addition (-FeMn treatment) and to which enrichments of Fe alone (-Mn treatment), Mn alone (-Fe treatment) or both trace metals together (control treatment) were made. The trace metals Fe and Mn were added as FeCl3 (4 nmol L-1, AAS standard, TraceCERT, Fluka) and MnCl2 (2 nmol L-1, AAS standard, TraceCERT, Fluka). As suggested in [32], in an effort to minimize the alteration of the natural seawater trace metal chemistry and ligands, no ethylenediaminetetraacetic acid (EDTA) was added. Due to the naturally present ligands (1.62 ± 0.20 nmol L-1), it is expected that a part of the added Fe was buffered rather than forming inorganic colloids. In order to prevent potential contamination, the experiments were conducted under trace metal clean conditions and therefore all sampling and handling of the incubations was conducted under a laminar flow hood (Class 100, Opta, Bensheim, Germany). Prior to use, the 2 L polycarbonate incubation bottles and other equipment were cleaned for 7 days in a detergent bath containing 1% Citranox solution (Sigma-Aldrich, St. Louis, MO, USA) followed by rinsing 7 times with Milli-Q (Millipore, Merck, Darmstadt, Germany). All bottles and other equipment were subsequently filled with 1 M hydrochloric acid (HCl) for 7 days. After 7 rinsing steps with Milli-Q, all equipment was dried under the clean bench and stored triple-bagged in polyethylene bags until usage.

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Table 1. Total dissolved Fe (dFe) and Mn (dMn) concentrations from the natural Antarctic seawater as well as from the four different treatments (-FeMn, -Fe, -Mn, control) were determined in the culture medium (0.2 μm filtered Antarctic seawater).

Values represent the range of duplicate measurements of the different culture mediums.

https://doi.org/10.1371/journal.pone.0221959.t001

All incubations were grown at 2°C under a light:dark cycle of 16:8 h at a light intensity of 100 μmol photons m−2 s−1 using light-emitting diodes (LED) lamps (SolarStinger LED Sun Strip Marine Daylight, Econlux, Cologne, Germany). Light intensities were adjusted using with a light sensor (ULM-500 Universal Light Meter equipped with a Spherical Micro Quantum Sensor US-SQS, Walz GmbH, Effeltrich, Germany). As differences in the maximum quantum yield of photochemistry in PSII (Fv/Fm) were observed between treatments during pre-acclimation after 15 days, the main experiment was started. Main experiments were conducted in triplicates with a starting cell density of ~ 250 cells mL-1 and were run in parallel. During the experiments, the growth rates in all incubations were monitored, confirming exponential growth. Depending on the experimental treatment, cells were harvested after 14 and 18 days with cell densities of 79 042 ± 6 904 cells mL-1 in the -FeMn treatment, 93 603 ± 10 805 cells mL-1 in the -Mn treatment, 72 155 ± 4158 cells mL-1 in the -Fe treatment and 114 819 ± 26 661 cells mL-1 in the control treatment. Samples for each treatment were taken at the same time of day to allow a direct comparison of all measured parameters.

Determination of total dissolved Fe and Mn concentrations of the seawater

Samples to determine total dissolved Fe (dFe) and Mn (dMn) concentrations of the Antarctic seawater and the different culture mediums were taken (Table 1). To this end, 100 mL of each sample were filtered through HCl-cleaned polycarbonate filters (0.2 μm pore size, 47-mm, Nuclepore, Whatman, GE Healthcare, Chicago, IL, USA) using a trace metal clean filtration system under a clean bench. The filtrate was then filled into a 125 mL PE bottle and stored triple-bagged at 2°C until analysis. Between each filtration, the filtration system was cleaned in an acid bath with 1 M HCl and rinsed with Milli-Q.

Concentrations of total dFe and dMn of each seawater sample and process blanks were analysed using a SeaFast system (Elemental Scientific, Omaha, NE, USA) [33,34] coupled to an inductively coupled plasma mass spectrometer (ICP-MS, Element2, Thermo Fisher Scientific, resolution of R = 4000). An iminodiacetate (IDA) chelation column (part number CF-N-0200, Elemental Scientific) was used in the pre-concentration step. All labware used for analysis was pre-cleaned according to the Geotraces cookbook [35]. Prior to the analysis of dFe and dMn, 0.2 μm pre-filtered seawater samples were acidified to pH 1.7 with double distilled HNO and UV-oxidized using a 450 W photochemical UV power supply (ACE GLASS Inc., Vineland N.J., USA). Two blanks were processed the same way during each UV digestion step. The ICP-MS was optimized daily to achieve oxide forming rates below 0.3%. Each seawater sample was analyzed in duplicates via standard addition to minimize any matrix effects, which might influence the quality of the analysis. A pH of 1.7 was needed in order to minimize the formation of Mn and Fe hydroxides and was sufficiently high to minimize the loss of other trace metals on the SeaFast column (pers. comm. Mr. Klemens, Elemental Scientific). To assess the accuracy and precision of the method, a NASS-6 (National Research Council of Canada) reference standard was analyzed in a 1:10 dilution (corresponding to environmentally representative concentrations) at the beginning, during and at the end of a run (two batch runs; n = 6), yielding 487 ± 23 ng L-1 (certified 495 ± 46 ng L-1) and 546 ± 48 ng L-1 (certified 530 ± 50 ng L-1) for dFe and dMn, respectively.

Chlorophyll a fluorescence

At the end of the experiments, chlorophyll a fluorescence measurements were conducted for each replicate at 2°C using a Fast Repetition Rate fluorometer (FRRf, FastOcean PTX sensor, Chelsea Technologies Group (CTG) Ltd, West Molesey, UK) connected with a FastAct Laboratory system (CTG Ltd). Chlorophyll a fluorescence measurements were conducted with cell densities of 79 042 ± 6 904 cells mL-1 in the -FeMn treatment, 93 603 ± 10 805 cells mL-1 in the -Mn treatment, 72 155 ± 4158 cells mL-1 in the -Fe treatment and 114 819 ± 26 661 cells mL-1 in the control treatment. Excitation wavelengths of the fluorometer’s LEDs were 450 nm, 530 nm and 624 nm with an automated adjustment of the light intensity (between 0.66–1.2 x 1022). The single turnover mode was set with a saturation phase consisting of 100 flashlets on a 2 μs pitch followed by a relaxing phase of 40 flashlets on a 50 μs pitch. After 10 min of dark acclimation, the minimum (F0) and maximum (Fm) chlorophyll a fluorescence of PSII was determined 6 times to calculate the maximum quantum yield of photochemistry in PSII (Fv/Fm, rel. unit) using the equation (Eq.): Eq 1

From the single turnover measurements of dark-acclimated cells, also the functional absorption cross section of PSII (σPSII, nm2 PSII-1), the time constant for electron transport at the acceptor side of PSII (τQa, μs) and the connectivity factor (p, dimensionless) were derived according to [36], using FastPro8 Software (Version 1.0.55, Kevin Oxborough, CTG Ltd.).

Electron transport rates (ETR)-irradiance curves with sequential increasing irradiances were performed, with 9 irradiances ranging from 0 to 1,700 μmol photons m-2 s-1 with an acclimation phase of 5 min per light level. Each actual light intensity (E, μmol photons m-2 s-1) emitted from the FastAct Laboratory system (CTG Ltd.) was measured with a light sensor (ULM-500 Universal Light Meter equipped with a Spherical Micro Quantum Sensor US-SQS, Walz GmbH, Effeltrich, Germany) and used to calculate absolute electron transport rates (ETR, e- PSII-1 s-1) according to the formula by [37,38]: Eq 2 where Fq′/Fm′ denotes the effective PSII quantum yield under ambient light. According to [39], maximum ETR (ETRmax, e- PSII-1 s-1), light utilization efficiency (α) and minimum saturating irradiance (Ik, μmol photons m-2 s-1) were calculated from the fitted irradiance-dependent ETR using the SigmaPlot 13.0 software (SysStat Software Inc.).

Growth

Cell count samples of C. debilis for each treatment were taken on a daily basis at the same time of the day. All samples were fixed with 10% acid Lugol’s solution and stored at 2°C in the dark until enumeration. At least 400 C. debilis cells were counted in stripes under a magnification of 400x in combination with a 1.6x optovar using Utermöhl chambers (Hydrobios, Altenholz, Germany) on an inverted microscope (Axio Observer D1, Carl Zeiss AG, Oberkochen, Germany). Cell-specific growth rate (μ) was calculated per day (d-1) as Eq 3 where Nt1 and Nt2 represent the cell densities (cells mL-1) at the sampling day t1 and t2, respectively, and Δt denotes the time between the two measurements.

Elemental composition

For the analyses of the content of particulate organic carbon (POC) and particulate organic nitrogen (PON), 250 mL of the C. debilis cultures was gently filtered (< 20 mmHg) onto pre-combusted glass-fibre filters (15h, 500°C, GF/F, ~0.6 μm, 25 mm, Whatman, Wisconsin, USA). Filters were stored in pre-combusted glass petri dishes at -20°C until sample preparation. Prior the analysis, filters were dried at 50°C for > 12 h before they were acidified with 200 μL of 0.2 M HCl to remove inorganic carbon. After being dried at 50°C overnight, filters were coated in tin foil and compressed into small pellets and analysed on an automated carbon nitrogen elemental analyser (Euro EA—CN Elemental Analyzer, HEKAtech GmbH, Wegberg, Germany). Cellular contents of POC and PON were corrected for blank measurements and normalized to cell density and filtered volume. To calculate cellular daily production rates of POC and PON, cellular quotas were multiplied by the corresponding growth rate of the respective treatment. Molar ratios of carbon to nitrogen (C:N) were also calculated.

Pigment analysis

For the analysis of the photosynthetic pigments, 250 mL of the C. debilis cultures were gently filtered (< 20 mmHg) onto 25-mm GF/F filters (~0.6 μm, 25 mm, Whatman, Wisconsin, USA), which were then immediately frozen in liquid nitrogen (N2) and stored at -80°C until analysis. Pigments samples were homogenized and extracted in 90% acetone for 24 h at 4°C in the dark. After centrifugation (5 min, 4°C, 13000 rpm) and filtration through a 0.45 μm pore size nylon syringe filter (Nalgene®, Nalge Nunc International, Rochester, NY, USA), concentrations of chlorophyll a and c2, fucoxanthin, diatoxanthin and diadinoxanthin were determined by reversed phase high performance liquid chromatography. The analysis was performed on a LaChromElite® system equipped with a chilled autosampler L-2200 and a DAD detector L-2450 (VWR-Hitachi International GmbH, Darmstadt, Germany). A Spherisorb® ODS-2 column (25 cm x 4.6 mm, 5 μm particle size; Waters, Milford, MA, USA) with a LiChropher® 100-RP-18 guard cartridge was used for the separation of pigments, applying a gradient according to [40]. Peaks were detected at 440 nm, identified and quantified by co-chromatography with standards for chlorophyll a and c2, fucoxanthin, diatoxanthin and diadinoxanthin (DHI Lab Products, Hørsholm, Denmark) using the software EZChrom Elite ver. 3.1.3. (Agilent Technologies, Santa Clara, CA, USA). Pigment contents were normalized to filtered volume and cell densities to yield cellular quotas.

Statistics

Kolmogorov-Smirnov tests with Liliefors correction were applied to test for normal distribution of the data and Brown-Forsythe tests were applied to test for equal variances. To test for significant differences between treatments one-way analyses of variance (ANOVA) with additional Bonferroni’s multiple comparison post tests were applied using the program GraphPad Prism (Version 5.00 for Windows, Graph Pad Software, San Diego California, USA). The significance testing was done at the p < 0.05 level.

Results

Total dissolved Fe (dFe) and Mn (dMn) concentrations

The naturally FeMn-poor Antarctic seawater, used for the experiment, contained 0.30 ± 0.01 nmol dFe L-1 and 0.49 ± 0.04 nmol dMn L-1 (Table 1). Culture media was prepared using this seawater, to which either no Fe and Mn (-FeMn), only Mn (-Fe) or Fe (-Mn) alone or both trace metals together (control) were added. Hence, concentrations of dFe and dMn of the culture medium were altered depending on the treatment (Table 1). While dFe concentrations of the culture medium of the -FeMn and the -Fe treatments were similar, they were reduced relative to ones of the -Mn and control treatments. The culture medium of the -FeMn and -Mn treatments exhibited similar dMn concentrations. In comparison to the latter treatments, dMn concentrations of the culture medium of the -Fe and control treatments were enhanced after Mn enrichment.

Maximum quantum yield and functional absorption cross-sections of PSII

The maximum quantum yield of PSII (Fv/Fm) of C. debilis was significantly influenced by the availability of both trace metals (ANOVA: F = 92, p < 0.0001, Fig 1A). While Mn enrichment (-Fe: 0.33 ± 0.01) did not alter the Fv/Fm in comparison with cells grown in FeMn-poor water (-FeMn: 0.31 ± 0.01), Fe addition increased the yield, reaching a value of 0.42 ± 0.01. Only after enrichment with both trace metals the Fv/Fm of C. debilis was highest (control: 0.47 ± 0.02).

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Fig 1.

The dark-acclimated maximum PSII quantum yield Fv/Fm (A) and the dark-adapted functional absorption cross section of PSII photochemistry σPSII (B) of C. debilis grown in naturally FeMn-poor Antarctic seawater (-FeMn) and to which additions of either Mn alone (-Fe), Fe alone (-Mn) or both (control) were given. Values represent the means ± SD (n = 3). Different letters indicate significant differences between treatments (p < 0.05).

https://doi.org/10.1371/journal.pone.0221959.g001

The functional absorption cross section of PSII (σPSII) was significantly affected by the availability of both trace metals (ANOVA: F = 18.33, p = 0.0006, Fig 1B). As for Fv/Fm, the addition of Mn alone (-Fe: 3.29 ± 0.27 nm2) did not change σPSII relative to the -FeMn treatment (3.37 ± 0.15 nm2). Only when Fe alone (-Mn: 2.56 ± 0.16 nm2) or Fe and Mn together (control: 2.53 ± 0.10 nm2) were given, σPSII decreased significantly by 24% and 25%, respectively, relative to the -FeMn treatment. Irrespective of whether Fe alone or both trace metals were added σPSII remained unchanged.

Growth, elemental composition and stoichiometry

Growth rates of C. debilis were significantly altered in response to the different Fe and Mn concentrations (ANOVA: F = 35.67, p < 0.0001, Fig 2A). While growth rates were similar between -FeMn (0.26 ± 0.01 d-1), -Fe (0.31 ± 0.03 d-1) and -Mn (0.26 ± 0.01 d-1) treatments, the addition of Fe and Mn together yielded the highest growth rates (0.40 ± 0.02 d-1).

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Fig 2.

Growth rates (A), cellular production rate of particulate organic carbon (POC, B) and molar ratios of carbon to nitrogen (C:N, C) of C. debilis grown in naturally FeMn-poor Antarctic seawater (-FeMn) and to which additions of either Mn alone (-Fe), Fe alone (-Mn) or both (control) were given. Values represent the means ± SD (n = 3). Different letters indicate significant differences between treatments (p < 0.05).

https://doi.org/10.1371/journal.pone.0221959.g002

Cellular contents of particulate organic carbon (POC) were significantly influenced by different Fe and Mn concentrations (ANOVA: F = 6.508, p = 0.0154, Fig 2B). POC quotas were similar for -FeMn (25.11 ± 2.21 pg cell-1) and -Fe (24.91 ± 2.21 pg cell-1) treatments, they were, however, lower than compared to the -Mn treatment (31.40 ± 1.93 pg cell-1). POC quotas of the control treatment (27.38 ± 1.81 pg cell-1) were similarly high as all other treatments. POC production rates were significantly affected by Fe and Mn availability (ANOVA: F = 18.38, p = 0.0006, Fig 2C). The same trend as for growth was observed for the POC production rates, with the -FeMn (6.51 ± 0.40 pg cell-1 d-1), -Fe (7.72 ± 1.05 pg cell-1 d-1) and -Mn (8.14 ± 0.35 pg cell-1 d-1) treatments showing similar high rates. Again, only when Fe and Mn were added together did POC production reached the highest values of 10.66 ± 0.77 pg cell-1 d-1. Irrespective of changes in Fe and Mn availabilities, carbon to nitrogen ratios (C:N) remained unchanged among all treatments and ranged between 6.97 ± 0.18 and 7.37 ± 0.08 mol mol-1 (Fig 2D).

Chlorophyll a fluorescence

The connectivity of adjacent PSIIs (p) was significantly affected in response to the different Fe and Mn concentrations (ANOVA: F = 62.29, p < 0.0001, Table 2). Similar p values were observed for -FeMn and -Fe treatments. These values were, however, lower compared to the -Mn and control treatments. Between -Mn and control treatments, no difference in p was found. The time constant for electron transfer at PSII (τQa) was significantly altered in response to the different Fe and Mn concentrations (ANOVA: F = 11.38, p = 0.0029, Table 2). While τQa values did not change when C. debilis was grown under -FeMn or -Fe conditions, these values were, however, significantly higher when Fe was added alone (-Mn) or in combination with Mn (control). The only exception was the -Fe treatment, for which τQa did not differ from the value determined for the -Mn treatment.

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Table 2. Connectivity between adjacent photosystems (p), time constant for electron transfer at PSII (τQa), absolute maximum electron transport rates (ETRmax), light saturation point (Ik) and light use efficiency (α) were measured for C. debilis grown in naturally FeMn-poor Antarctic seawater (-FeMn) and to which additions of either Mn alone (-Fe), Fe alone (-Mn) or both (control) were given.

Values represent the means ± SD (n = 3). Different letters indicate significant differences between treatments (p < 0.05).

https://doi.org/10.1371/journal.pone.0221959.t002

ETR-irradiance curves showed differences in both shape and amplitude in response to changes in Fe and Mn availability (Fig 3). Maximum electron transport rates (ETRmax) were significantly affected by the different trace metal additions (ANOVA: F = 17.63, p = 0.0007, Table 2). ETRmax values were similar for the -FeMn and -Fe treatments, but were higher than those measured of the -Mn and control treatments. Please note that ETR values for the two highest irradiances (1152 and 1504 μmol photons m−2 s−1) of the control treatment could unfortunately not be determined due to a technical problem with the FRRf software FastPro8. For unknown reasons the software did not follow the protocol during the measurements for these two light intensities as no dark acclimation of 5 minutes was performed. Due to this, these data were excluded from the analysis. Calculating ETRmax using the light-adapted σPSII’ showed the same trend. The light saturation point of PSII electron transport (Ik) ranged between 408 ± 26 and 532 ± 35 μmol photons m-2 s-1 among treatments and were neither influenced by the addition of Fe or Mn alone nor the combination of both (Table 2). The light use efficiency (α) was significantly influenced by the availability of Fe and Mn (ANOVA: F = 23.09, p = 0.0003, Table 2), with α values of the -FeMn and -Fe treatments being higher than those of the -Mn and control treatments. In comparison, α remained unaltered between the -FeMn and -Fe as well as between the -Mn and control treatments.

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Fig 3. Absolute electron transport rates (ETR) were measured in response to increasing irradiance in C. debilis grown in naturally FeMn-poor Antarctic seawater (-FeMn, A) and to which additions of either Mn alone (-Fe, B), Fe alone (-Mn, C) or both (control, D) were given.

Values represent the means ± SD (n = 3).

https://doi.org/10.1371/journal.pone.0221959.g003

Pigments

Cellular concentrations of light-harvesting pigments (LH = chlorophyll a + chlorophyll c2 + fucoxanthin) were significantly altered by the availability of Fe and Mn (ANOVA: F = 24.21, p = 0.0002, Table 3). LH quotas remained unchanged when C. debilis was grown under -FeMn or -Fe conditions, these values were, however, increased when Fe was added alone (-Mn) or in combination with Mn (control). Between -Mn and control treatments, there was no difference in LH quotas. The availability of Fe and Mn influenced cellular concentrations of light-protective pigments (LP = diadinoxanthin + diatoxanthin) (ANOVA: F = 7.317, p = 0.0111, Table 3). While LP quotas of the -Fe and control treatments differed, LH quotas were similar among the other treatments. The availability of Fe and Mn had a strong influence on LH:LP ratios (ANOVA: F = 7.273, p < 0.0133, Table 3). Only after enrichment with both trace metals the LH:LP ratio become the smallest relative to all other treatments. In comparison, LH:LP ratios were similar between -FeMn, -Fe and -Mn treatments.

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Table 3. Cellular concentrations of light-harvesting (LH: sum of chlorophyll a, chlorophyll c2, and fucoxanthin) and light-protective pigments (LP: sum of diadinoxanthin and diatoxanthin) as well as the ratio of light-protective to light-harvesting pigments (LP:LH) were determined in C. debilis grown in naturally FeMn-poor Antarctic seawater (-FeMn) and to which additions of either Mn alone (-Fe), Fe alone (-Mn) or both (control) were given.

Values represent the means ± SD (n = 3). Different letters indicate significant differences between treatments (p < 0.05).

https://doi.org/10.1371/journal.pone.0221959.t003

Discussion

Previous studies reported that growth and species composition of phytoplankton assemblages of different SO regions was influenced solely by the addition of Mn [1,17,19]. As these studies were undertaken with natural phytoplankton assemblages, it has not yet been investigated how Mn and Fe availability influences SO phytoplankton physiology and which species are actually susceptible to the limitation of these two trace metals. This study shows that growth of the Antarctic bloom-forming diatom C. debilis was co-limited by Fe and Mn and that Mn deficiency alone inhibited growth and carbon production to the same degree as Fe limitation. Therefore, we define Fe-Mn co-limitation according to [20] as “Type I: Independent nutrient co-limitation”.

FeMn- and Fe-deficient cells showed similar physiological responses

The determination of dFe and dMn concentrations in the culture medium of all treatments revealed that the four experimental treatments were successfully achieved (Table 1). In line with this, at the time of sampling the Fv/Fm of FeMn-deficient cells (0.31 ± 0.01) was identical with the one of Fe-deficient cells (0.34 ± 0.01), but strongly reduced compared to FeMn-replete cells (0.47 ± 0.02; Fig 1A). Hence, the similar low Fv/Fm values of the FeMn- and Fe-deficient cells suggest reduced photochemical efficiency, a common feature of Fe-limited phytoplankton [7,41–44]. To counterbalance the reduced amount of Fe-containing photosynthetic reaction centers [41,43,45,46], both FeMn- and Fe-poor cells displayed larger σPSII relative to the FeMn-replete cells (Fig 1B). A Fe-dependent disconnection of antennae from PSII reaction centres [42,45,47,48] was also apparent for FeMn- and Fe-deficient cells (Table 2). Hence, the photophysiological response of the FeMn-deficient incubations was largely driven by low Fe availability. Along with these photophysiological changes, FeMn- and Fe-deficient cells also displayed significantly lower growth, and POC production rates relative to the FeMn-replete cells (Fig 2A, 2B and 2D). Similar low growth and carbon fixation rates were previously estimated under Fe limitation alone in the same species [49,47], with other Chaetoceros species [42,50] and with various other Antarctic diatoms [45,51]. In a previous study by [47], a smaller cell volume of the same C. debilis strain was observed under Fe-limitation alone. However, POC quotas were reduced as a consequence of Fe-limitation after normalization to either cell number or cell volume. Since the cell size was not measured for this experiment and therefore no cell volume-normalized POC quotas could be derived, we assume based on [47] that not only cell volume decreased under Fe-limitation, but also the cell volume-normalized POC content per cell of C. debilis.

Low Fe availability usually causes chlorosis [45,51–54], as seen by the reduced light harvesting pigment quotas of both FeMn- and Fe-deplete cells (Table 3). Moreover, Fe is required in various components of the electron transport chain: as a consequence of Fe-limitation, fewer Fe-containing proteins are synthesized, interrupting the transfer of electrons in the photosynthetic electron transport chain [55]. Electron transfer was largely hindered under Fe-limiting conditions [4,42,51]. Hence, POC production rates were significantly lower in both FeMn- and Fe-deplete relative to the FeMn enriched cells (Fig 2C). This generally resulted in reduced rates of photosynthesis [42,45,51,54,56], which affects cellular growth rates (Fig 2A). Unexpectedly, re-oxidation time of Qa was shorter (Table 2) while electron transfer of both FeMn- and Fe-deficient cells was significantly enhanced relative to FeMn-replete cells (Fig 3, Table 2). The higher ETRs combined with reduced carbon fixation suggest that electrons entered alternative pathways like the Mehler reaction [57] and the cyclic electron transport flow around PSI. Considering, however, that the latter pathways are rather Fe-expensive, less Fe-expensive processes such as the putative plastid plastoquinol terminal oxidase (PTOX) pathway were of importance [58]. Furthermore, minimum saturating irradiance (Ik) as well as light utilization efficiency (α) were both enhanced in the FeMn- and Fe-deplete relative to the control treatment, indicating enhanced acclimation to short-term high light stress [4]. The potential to counteract short-term high light stress potentially resulted from the elevated ratios of LP:LH (Table 3), indicating improved capacity of FeMn- and Fe-deficient cells to cope with high light exposure than the FeMn-enriched cells.

Mn deficiency inhibited growth of C. debilis

As the water-splitting complex of PSII contains four Mn ions, a lack of Mn can affect the photochemical activity of the overall pool of PSII as previously observed in temperate diatoms [22]. Accordingly, the photochemical efficiency of Mn-deplete cells was reduced relative to FeMn-sufficient cells, but still much higher than FeMn- and Fe-deficient cells. Apparently, the addition of Fe alone to Mn-deplete cells led to restoration of photophysiological adjustments, with better connected adjacent PSIIs, higher PSII photochemical efficiency as well as smaller PSII functional absorption cross sections (Fig 1A and 1B, Table 2). As a consequence, Mn-deficient cells exhibited efficient linear electron transport, which resulted in enhanced POC build-up relative to the FeMn- and Fe-poor incubations (Figs 2B and 3, Table 2). These findings suggest that amendment of Fe alone led to the reorganization of the thylakoid membrane enabling Mn-deficient cells undisturbed linear electron flow, which provided ATP and NADPH for subsequent carbon fixation. Even though photosynthetic activity was restored, the Mn-deficient cells grew as slowly as the FeMn- and Fe-deplete incubations (Fig 2B). Reduced growth of Mn-limited temperate diatoms was previously reported [22,25] and was explained by their impacted capacity of the antioxidant enzyme superoxide dismutase (SOD). The latter detoxifies reactive oxygen species (ROS) and prevents cell damage, but requires Mn. As a consequence, Mn-deficient cells were probably compromised by reduced activity of the Mn-containing SOD, increasing oxidative stress and the requirements for energy and resources to repair damaged cellular constituents [22]. In support for this, to counteract light stress Mn-deficient cells displayed a higher LP:LH ratio than cells grown under FeMn-replete conditions (Table 3). The distinct response between Mn- and Fe-deficient cells further supports the finding of [22] that Fe and Mn do not substitute one another.

Only the supply of both Fe and Mn yielded highest growth

Only when Fe and Mn were provided together, was maximum photosynthetic efficiency reached, which allowed unimpeded entry of electrons into the photosynthetic electron transport chain (Fig 1A). Similarly, the additions of Mn-containing volcanic ashes to natural communities from the Drake passage resulted in a stronger increase of the Fv/Fm than to those in which only Fe was added [17]. Here, only the addition of both metals allowed C. debilis to achieve maximum POC production and to reach highest growth rates (Fig 2A and 2C), indicating relief from FeMn co-limitation. Similarly, growth rates reached maximum values only when cultures of the two diatoms T. pseudonana and T. oceanica were enriched with both trace metals together [22]. Sufficient quantities of Mn-containing SOD and therefore less oxidative stress [22] were indicated by the low LP:LH ratio of FeMn-replete C. debilis cells compared to all other treatments (Table 3).

The results of this study hint towards the finding that low phytoplankton growth and productivity in SO open ocean waters may not be explained solely by the limitation of Fe, but also with Mn together. In fact, C. debilis was found to be co-limited by Fe and Mn at similarly low concentrations as previously reported in the Drake Passage [17,18]. As FeMn- and Fe-deficient C. debilis cells showed similar physiological responses, we hypothesize that the occurrence of FeMn-limited phytoplankton species may be masked in the natural environment. Fe-Mn-enrichment experiments using different SO phytoplankton communities will be helpful to identify Mn and Fe co-limited species, but also such species that have very low requirements of both metals and therefore are better adapted to thrive in FeMn-poor waters. Because of the potential ecological and biogeochemical implications, a mechanistic understanding of photosynthesis and trace metal requirements of SO phytoplankton is needed. Variability in stoichiometries of trace metal supply and biological demand are key determinants of trace metal limitation and as such for phytoplankton productivity. Deciphering the mechanisms that underpin this variability and the consequences for SO phytoplankton species is crucial for accurately predicting the consequences of ongoing anthropogenic perturbations to SO biogeochemistry.

Acknowledgments

Christian Völkner, Tina Brenneis, Dorothee Wilhelms-Dick and Britta Meyer-Schlosser are thanked for the support in the laboratory.

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