A Key Marine Diazotroph in a Changing Ocean: The Interacting Effects of Temperature, CO2 and Light on the Growth of Trichodesmium erythraeum IMS101

Tobias G. Boatman; Tracy Lawson; Richard J. Geider

doi:10.1371/journal.pone.0168796

Abstract

Trichodesmium is a globally important marine diazotroph that accounts for approximately 60 − 80% of marine biological N₂ fixation and as such plays a key role in marine N and C cycles. We undertook a comprehensive assessment of how the growth rate of Trichodesmium erythraeum IMS101 was directly affected by the combined interactions of temperature, pCO₂ and light intensity. Our key findings were: low pCO₂ affected the lower temperature tolerance limit (T_min) but had no effect on the optimum temperature (T_opt) at which growth was maximal or the maximum temperature tolerance limit (T_max); low pCO₂ had a greater effect on the thermal niche width than low-light; the effect of pCO₂ on growth rate was more pronounced at suboptimal temperatures than at supraoptimal temperatures; temperature and light had a stronger effect on the photosynthetic efficiency (F_v/F_m) than did CO₂; and at T_opt, the maximum growth rate increased with increasing CO₂, but the initial slope of the growth-irradiance curve was not affected by CO₂. In the context of environmental change, our results suggest that the (i) nutrient replete growth rate of Trichodesmium IMS101 would have been severely limited by low pCO₂ at the last glacial maximum (LGM), (ii) future increases in pCO₂ will increase growth rates in areas where temperature ranges between T_min to T_opt, but will have negligible effect at temperatures between T_opt and T_max, (iii) areal increase of warm surface waters (> 18°C) has allowed the geographic range to increase significantly from the LGM to present and that the range will continue to expand to higher latitudes with continued warming, but (iv) continued global warming may exclude Trichodesmium spp. from some tropical regions by 2100 where temperature exceeds T_opt.

Citation: Boatman TG, Lawson T, Geider RJ (2017) A Key Marine Diazotroph in a Changing Ocean: The Interacting Effects of Temperature, CO₂ and Light on the Growth of Trichodesmium erythraeum IMS101. PLoS ONE 12(1): e0168796. https://doi.org/10.1371/journal.pone.0168796

Editor: Amanda M. Cockshutt, Mount Allison University, CANADA

Received: August 14, 2016; Accepted: December 6, 2016; Published: January 12, 2017

Copyright: © 2017 Boatman 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 growth rate data files and the inorganic carbon chemistry calculation datasheet are available from Figshare at the following link: https://figshare.com/s/f89d34207813af383790 (DOI: 10.6084/m9.figshare.4299230).

Funding: Toby Boatman was supported by a UK Natural Environment Research Council(NERC) PhD studentship (NE/J500379/1 DTB) held at the University of Essex.

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

Introduction

The ocean is a major sink for anthropogenic emissions [1], of which the capacity to store CO₂ is strongly affected by biological processes [2]. As atmospheric CO₂ increases, the dissolved inorganic carbon (DIC) concentrations in the oceans increases, the pH declines, and the inorganic speciation changes [3]. Such changes are expected to have diverse effects for marine ecosystems [4]. In addition to ocean acidification, climate change will concurrently lead to increases of sea surface temperature (SST) thereby enhancing water stratification and decreasing vertical mixing [5].

One of the most important phytoplankton groups in the open oceans are diazotrophic cyanobacteria, which convert N₂ gas into ammonia (NH₃) by nitrogenase activity prior to assimilation of this fixed N into organic matter. Their distributions range from the warm (~ 27°C) tropical waters around the equator (e.g. Trichodesmium and Crocosphaera spp.), to the colder (~ 5°C) waters of the Baltic Sea (e.g. Aphanizomenon sp. and Nodularia spp.) [6,7]. Diazotrophs found at cold temperatures possess specialised cell compartments (heterocysts) where N₂ fixation occurs [8]. Conversely, all equatorial diazotrophic cyanobacteria are non-heterocystous. The non-heterocystous filamentous, diazotroph Trichodesmium spp. are estimated to contribute significantly to global productivity and to biogeochemical cycles [9], and are considered to be the dominant equatorial diazotrophs [10–12], representing up to 50% of new nitrogen in some regions [13,14], and contributing between 80 and 110 Tg of fixed N₂ to the open ocean ecosystems per year [11], although there is evidence for significant contributions to N₂ fixation by unicellular cyanobacteria [15].

Trichodesmium spp. often form extensive surface blooms where cells are exposed to high temperatures, high light intensities, fluctuating nutrient regimes and water column mixing [16,17], all of which can contribute to the high degree of spatial and temporal variability in trichome densities [13,18]. In the eastern Atlantic Ocean, Trichodesmium spp. are most abundant from 0 to 15°N, with complete absence south of 30°S [19]. Trichodesmium is commonly observed from the upper few meters of the water column where the surface light intensity is ~ 2500 μmol photons m^-2 s^-1, to ~ 100 meters depth where the 0.5 to 1% light level is reached (~ 12.5–25 μmol photons m^-2 s^-1) and temperatures are between 21 and 23°C [20,21].

Knowledge of how the filamentous diazotroph Trichodesmium responds to temperature, light and pCO₂ is critically important to understand the potential implications of global warming and ocean acidification on future global biogeochemical cycles, food web dynamics, and overall productivity of the open oceans [22].

The effect of temperature on growth rate can be characterised by a thermal tolerance curve (μ-T curve); where an organism’s growth is constrained between a maximum (T_max) and minimum (T_min) temperature limit. The temperature range between T_min and T_max is defined as the thermal niche, and can vary subject to an organism’s physiological plasticity and evolutionary history [23]. Two features of a growth-temperature curve common to all ectotherms are unimodality and negative skewness [24,25]. Negative skewness describes the sudden sharp decline in fitness above T_opt, and indicates that when acclimated to T_opt, growth is more significantly reduced by warming than cooling, a trait of particular relevance given the predicted increase in SST over the coming decades.

The constraint that temperature imposes on the physiology of diazotrophs in general and Trichodesmium spp. in particular is still not fully understood, and yet is fundamentally important when trying to predict future productivity and global distributions. Recent research suggests that the minimum temperature limit (T_min), optimum temperature (T_opt), and maximum temperature limit (T_max) for Trichodesmium erythraeum growth occurs between 20 − 22°C, 26 − 27°C and 32 − 35°C, respectively; with little variation found between strains or isolates (IMS101, KO4-20, RLI and 2175) [26–28].

Although some research has shown that the growth rate of Trichodesmium erythraeum IMS101 is unchanged or decreases with increased CO₂ concentrations above current ambient levels, the majority of research indicates that an increase in CO₂ whilst all other factors are kept constant, will result in an increase in growth (Table 1). As is the case for the majority of experiments investigating the effects of ocean acidification [29], most research involving Trichodesmium has used a single independent variable (e.g. CO₂ whilst keeping temperature and light constant or temperature whilst keeping CO₂ and light constant), of which there are typically 3 to 8 treatments and all cultured for short time periods and often with several undefined growth conditions (Table 1).

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Table 1. The current literature regarding the effects of varying temperature (°C), CO₂ (ppm), light intensity (μmol photons m^-2 s^-1) and L:D (hr:hr) period on Trichodesmium erythraeum IMS101 growth.

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To investigate the integrated effects of key physical/chemical variables (temperature, pCO₂ and light) that will be altered by climate change on the growth rate of Trichodesmium, we performed a systematic, multivariable experiment, where Trichodesmium IMS101 was cultured over long durations (> 9 months), at multiple treatments (n = 174) with controlled and defined growth conditions, thus ensuring that balanced growth and complete physiological acclimation was achieved (S1 Table). The aims were to assess the response of Trichodesmium IMS101 growth to temperature, CO₂ and light intensity. We tested the hypotheses that (i) the thermal niche width of Trichodesmium IMS101 is reduced (i.e. T_min increased and/or T_max decreased) under suboptimal light or pCO₂, (ii) the optimal temperature (T_opt) for growth is unaffected by light or pCO₂, (iii) the maximum photochemical efficiency of PSII (F_v/F_m) is affected by suboptimal and supraoptimal temperature, light and CO₂, and (iv) when light is limiting, suboptimal pCO₂ further reduces growth rate.

Materials and Methods

Trichodesmium erythraeum IMS101 was semi-continuously cultured to achieve fully acclimated balanced growth across a range of temperatures (19 − 32°C), light intensities (10–1400 μmol photons m^-2 s^-1) and targeted pCO₂ concentrations (180, 380 and 720 ppm).

Experimental setup

Cultures were grown at low volumes (5 mL) in 12 mL glass test tubes. Test tubes were acid washed and autoclaved prior to culturing, and each dilution was made into a new tube to avoid the build-up of contaminants. Growth rates were quantified from changes in fluorescence (F_o) measured daily (between 09:00 to 10:30) on dark-adapted cultures (20 minutes) using a FRRfII Fastact Fluorometer (Chelsea Technologies Group Ltd, UK). The FRRfII parameters were optimised prior to the experiment to ensure a saturating fluorescence curve was achieved for both low (post-dilution) and high (pre-dilution) cell density cultures.

Cultures were kept at the lower section of the exponential growth phase (S1 Fig) and optically thin to avoid nutrient limitation, self-shading and minimise CO₂ drift [32]. Tubes were gently inverted twice a day to minimise trichomes aggregating at the meniscus. Subject to the temperature and CO₂, high light cultures were usually diluted every fourth to fifth day, while low light cultures every tenth to twelfth day. When F_o declined at an extreme growth condition (e.g. high temperature), three attempts were made to re-grow that treatment, using culture from the closest growth condition.

Culture medium and carbonate chemistry

A single batch (25 L) of filter-sterilised (0.25 μm pore) YBCII media [44] was made and stored in acid-washed, autoclaved Duran bottles (no headspace). The inorganic carbon chemistry of each bottle was determined via CO2SYS [45]; using a 15 mL sample for TCO₂ analysis (Shimadzu TOC-V Analyser & ASI-V Autosampler), and a 10 mL sample for pH (Thermo Scientific Orion Ross Ultra pH Electrode EW-05718-75, UK). The pH probes were rinsed and calibrated with fresh (< 2 weeks) artificial seawater buffers (TRIS and AMP) prior to use [46].

Once a culture reached a pre-determined F_o value, it was diluted (0.5 mL culture to 4.5 mL media) with filter-sterilised (0.2 μm pore) YBCII media that had been adjusted to a target pH (and thus target CO₂) to return the culture to a starting F_o value. To obtain a targeted CO₂ concentration in the YBCII media used to dilute the semi-continuous cultures, the medium was bubbled with a CO₂-air mixture to a targeted pH (precision of ± 0.002). Once the media reached the desired CO₂ concentration (± 1%) it was immediately distributed into the test tubes, already containing the culture (S1 File). Test tubes were sealed via a PTFE lined screw cap and PTFE tape on the test tube threads, ensuring a gas-tight seal and preventing exchange of CO₂ with the atmosphere. Prior to screwing the cap on, the gaseous headspace was flushed with a filtered (0.2 μm pore) standard gas mixture of a target CO₂ concentration (BOC Industrial Gases, UK). All carbon chemistry calculations were made in CO2SYS [45], using the 1^st and 2^nd equilibrium constants (K1 and K2) for carbonic acid [47], the dissociation constant for KSO₄ [48], the boric acid constant (KB) [49], and the total pH scale. The CO2SYS program calculates CO₂ concentrations as μatm; however, as the CO₂ concentrations reported here are to zero decimal places the equivalent units of parts per million are used (ppm).

Prior to every dilution, 3.5 mL of culture was collected in a 5 mL plastic cryogenic vial (Sigma-Aldrich V5257-250EA) and was used to measure the post-culturing pH. Assuming alkalinity remained constant throughout the entire growth phase [50], a post-culturing CO₂ was calculated using the post-culturing pH and initial alkalinity.

Temperature gradient

To measure the effect of temperature on growth, a custom-made water-jacketed aluminium temperature block was used to house test tube cultures. The temperature ranged from 18 to 33°C, and the temperature steps along the gradient were at ~ 0.5°C increments. The temperature (± 0.1°C) of each tube was measured using a temperature probe (Sper Scientific 840038, Arizona USA), and varied < 0.2°C over a diel period for any given culture along the gradient. A clear Perspex sheet was secured beneath of the block to hold the tubes in place and allow illumination from below. Light was provided by four fan-cooled LED strips (The Optoelectronic Manufacturing Corporation Ltd. 3ft T5 Daylight, UK), and was adjusted using neutral density filters, with half of the test tubes illuminated at low light (40 μmol photons m^-2 s^-1 ± 0.4), and the remaining tubes at high light (400 μmol photons m^-2 s^-1 ± 4), all at a 12:12 L:D cycle. The light was measured for each test tube using a light meter (Li-Cor Li-250A, Nebraska USA), and was checked weekly throughout the experiment. For each of the low and high light treatments, and for each temperature treatment, Trichodesmium IMS101 was cultured at three targeted CO₂ concentrations (180, 380 and 720 ppm), giving a total of 120 treatments.

Light gradient

To measure the light response of growth a second temperature block was setup and run concurrently. All test tube cultures were maintained at 26°C. Using neutral density filters, a light gradient was setup ranging from 10 to 1400 μmol photons m^-2 s^-1, at a 12:12 L:D cycle. The light steps along the gradient were distributed in order to resolve the light-limited and saturated sections of the growth curve. For each light treatment, Trichodesmium IMS101 was cultured at three targeted CO₂ concentrations (180, 380 and 720 ppm), giving a total of 54 treatments.

The measured pCO₂ in the cultures just prior to dilution into fresh medium were between 20% and 30% lower than the target pCO₂ concentrations of 180, 380 and 720 ppm, and were similar across all temperatures and light intensities (Table 2).

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Table 2. The mean (± S.E.) growth conditions of Trichodesmium erythraeum IMS101 cultures for the temperature and light response.

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Chlorophyll fluorescence

In addition to the minimum fluorescence (F_o), the FastPro software (Chelsea Technologies Group Ltd, UK) generated dark-adapted values of maximum fluorescence (F_m). The maximum photochemical efficiency of PSII in the dark-adapted state (F_v/F_m) was calculated using the following: (1)

Data processing to obtain balanced growth rates

Acclimation took ~ 12 to 16 weeks with up to 20 dilutions required to allow cultures to achieve balanced growth at the extreme temperature and light limits. For each dilution, a growth rate was calculated from linear regression of ln(F_o) versus time. Balanced growth was assumed to have been achieved once growth rates from a minimum of three successive growth curves had stabilised (S2 File, S2 Fig). A script written in the open source statistical software R [51] was used to process and analyse the growth rate data for each treatment [52] (S4 File). This objective approach improved the efficiency of data processing, given the large number of treatments (n = 174) and the duration of the culturing (~ 9 months) and removed potential bias or subjectivity when determining a growth rate from numerous data points.

Growth rate versus light curve

The growth-light (μ-I) curves were modelled using the following function [53]: (2) where μ_max’ is the hypothetical maximum growth rate (d^-1); α is the initial light-limited slope of the growth-light curve (d^-1 (μmol photons m^-2 s^-1)^-1); β is the parameter that characterises photoinhibition at supraoptimal light intensities (d^-1 (μmol m^-2 s^-1)^-1); I is the light intensity (μmol photons m^-2 s^-1); and I_c is the compensation light at which the light-limited growth rate extrapolates to zero (μmol photons m^-2 s^-1).

The achieved maximum growth rate (μ_max), light at which growth is maximal (I_opt), light-saturation parameter (I_k), and light inhibition parameter (I_p) were calculated from the fitted parameters as follows: (3) (4) (5) (6)

Growth versus temperature curve

The growth-temperature (μ-T) curves were modelled using a newly formulated modified sine function, which returns estimates for T_min, T_max and the maximum growth rate at T_opt: (7) where μ_max is the maximum growth rate (d^-1); T is the temperature of the culture (°C); T_min is the minimum temperature limit for growth (°C); T_max is the maximum temperature limit for growth (°C); θ is a shape determining parameter, which alters the skewness; and Φ is a shape determining parameter, which alters the kurtosis.

The optimum temperature (T_opt) is calculated from the fitted parameters as follows: (8)

The growth-light and growth-temperature curve fits for each CO₂ or light treatment were fitted using a weighted non-linear squares algorithm, where weights were the reciprocals of the standard errors associated with the median growth rates. Standard errors were propagated when parameters (e.g. I_k, T_opt) were calculated from curve fit values (S3 Table). Further statistical analysis (Sigmaplot 11.0) was used to assess differences between CO₂ and light treatments. When appropriate the data was log transformed to ensure normality, and a Two or Three-way ANOVA and post hoc Tukey test was applied on all of the growth rate data per light, CO₂ treatment, as opposed to the single calculated curve fitted parameter values.

Results

Growth rates increased with increasing CO₂ at all temperatures (Three-way ANOVA, Tukey post hoc test; P < 0.001). The growth responses were non-symmetrical around the optimum temperature for growth (T_opt ranging between 24.7 to 26.9°C); specifically the effect of pCO₂ on growth was more pronounced at suboptimal than supraoptimal temperatures (Fig 1A and 1B). Growth rates at temperatures below T_opt were markedly lower at mid than high pCO₂, whereas similar rates were observed at both mid and high pCO₂ at temperatures above T_opt.

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Fig 1. The median growth rate, and mean (± S.E.) pCO₂ and maximum dark-adapted photochemical efficiency (F_v/F_m) of Trichodesmium erythraeum IMS101 when acclimated across a range of temperatures, light intensities, and at three target pCO₂ concentrations (Low = 180 ppm, Mid = 380 ppm and High = 720 ppm) (174 treatments).

For the temperature response: LL = 40 μmol photons m^-2 s^-1; HL = 400 μmol photons m^-2 s^-1. Note the dashed line represents the initial pCO₂ concentration for each treatment culture once diluted (T = 0), while the data points are the final CO₂ concentration post culturing.

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The growth-temperature curves exhibited marked reductions of growth rate (μ) accompanying small changes in temperature near the lower and upper tolerance limits, and smaller rates of change of growth with changes of temperature closer to the optimum (Fig 1A and 1B). With the exception of the high light-low pCO₂ treatment, all other curves exhibited negative skewness (θ > 1) (Table 3).

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Table 3. The temperature dependent growth curve parameters (± S.E.) for Trichodesmium erythraeum IMS101 generated by fitting a five-parameter function to each of the two light (LL = 40 μmol photons m^-2 s^-1; HL = 400 μmol photons m^-2 s^-1) treatments at the three CO₂ (Low = 180 ppm, Mid = 380 ppm and High = 720 ppm) treatments.

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The minimum temperature limit for growth (T_min) was affected by both CO₂ and light (Table 3). Under low light, T_min declined from 20.8 to 19.4°C between low and high CO₂, whilst at high light the T_min declined from 21.3 to 19.7°C between low and high CO₂. The maximum temperature limit for growth (T_max) did not significantly vary between most treatments, averaging about 30.7°C (Table 3). The temperature niche width (w = Tmax—T_min) was ~ 1.5 to 2°C smaller at low than at mid and high CO₂.

There were significant differences in the growth rates between the low and high light treatment (40 versus 400 μmol photons m^-2 s^-1) at all CO₂ treatments (Three-way ANOVA, Tukey post hoc test; P < 0.001). The maximum growth rate (μ_max) at the optimum temperature increased by about 30% (low light) and 70% (high light) as CO₂ increased from low to mid, and by an additional 7% (both low light and high light) from mid to high CO₂ (Table 3).

A more comprehensive assessment of the light-dependence of growth rate was made at the optimum temperature of 26°C (Fig 1C). The initial slope (α) showed little response to pCO₂, but the maximum growth rate (μ_max) increased by 65% from about 0.21 d^-1 at low CO₂ to 0.33 d^-1 at the mid and high CO₂ (Table 4). The light intensity at which the highest maximum growth rate occurred (I_opt) also increased with pCO₂ from 290 μmol photons m^-2 s^-1 at low CO₂ to 434 μmol photons m^-2 s^-1 at high CO₂. The light-saturation parameter (I_k) was much lower at low CO₂ in comparison to both mid and high CO₂ treatments (Table 4).

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Table 4. The light-dependent growth curve parameters (± S.E.) for Trichodesmium erythraeum IMS101 generated by fitting a three-parameter P-I function to each of the three CO₂ (Low = 180 ppm, Mid = 380 ppm and High = 720 ppm) treatments at optimal temperature (26°C).

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The maximum photochemical efficiency of PSII (F_v/F_m) was greatest at T_opt, and was significantly higher (Three-way ANOVA, Tukey post hoc test; P < 0.001) for low light than high light treatments (Fig 1G and 1H). In addition, F_v/F_m increased as CO₂ increased from low to mid and high CO₂ (Three-way ANOVA, Tukey post hoc test; P < 0.001) (Fig 1G,H). At low light and for all CO₂ treatments, F_v/F_m decreased as temperature decreased from T_opt to T_min, while there was no difference in F_v/F_m (~ 0.3) as temperature increased above T_opt to T_max (Two-way ANOVA, Tukey post hoc test; P < 0.001). Conversely at high light, there was no significant difference of F_v/F_m at the T_min, T_opt or T_max values between CO₂ treatments (Fig 1H). The maximum F_v/F_m recorded (~ 0.35) was at T_opt and the lowest light intensity (20 μmol photons m^-2 s^-1) (Fig 1I).

Discussion

Our key findings for Trichodemisum IMS101 are: (i) at T_opt, CO₂ affected μ_max but not the initial slope (α) of the growth-light curve; (ii) low CO₂ constrained the thermal niche width more than low light; (iii) there was greater divergence in the temperature dependence of growth rate due to differences in CO₂ below T_opt than above T_opt; (iv) the maximum photosynthetic efficiency (F_v/F_m) was influenced more strongly by varying temperature and light than CO₂; and (v) CO₂ affected T_min while there was no effect of CO₂ on T_max. Here we discuss the physiological mechanisms that may explain these results.

Light and CO₂ dependencies of growth at T_opt

The observed increase in μ_max with increasing pCO₂ is qualitatively consistent with previous results [32,34], although there are slight quantitative differences in the percentage increase in growth between mid (~ 380 ppm) and high (~ 720 ppm) CO₂ treatments.

Previous studies have attributed the low growth rates at low CO₂ to high energy demands required to establish, maintain and operate a carbon concentrating mechanism (CCM), which in turn limits the energy available for N₂ fixation, reducing growth [34,42,43]. Our observations of the effect of CO₂ at light-saturation and optimal temperature support these findings, while the lack of variability in the light-limited initial slopes is inconsistent with this hypothesis because we would expect the initial slope to be lower at low CO₂ if operation of the CCM imposed significant energetic cost. The lack of variation in the initial slopes were perhaps due to low data resolution (too few low-light data points) and the curve fitting process (more heavily weighted to the high-light data points). Consistent with this suggestion is our observation from the thermal response curves that growth rate at low light (40 μmol photons m^-2 s^-1) increased with increasing pCO₂ by about 20% from low to mid CO₂ with a further 10% increase from mid to high CO₂.

Operation of the CCM is required to maintain high internal CO₂ concentrations within the carboxysome to inhibit photorespiration. Conversely, at high CO₂ concentrations, when the CCM is fully saturated, Trichodesmium spp. can down-regulate CCM activity and up-regulate other cellular processes (e.g. N₂ fixation), which indirectly increases growth [40,42]. Although this is an attractive hypothesis, direct measurements of the magnitude and cost of operating the CCM in Trichodesmium spp. have not been reported. However, the effect on growth rate may be relatively small since the photon requirement for operating the CCM accounts for only 5–15% of the photon requirement for growth (S3 File, S2 Table).

The values of the light-saturation parameters (I_k) were similar to previous observations [21], and exhibited a clear CO₂ response, which was driven largely by the changes in μ_max. The photoinhibition parameter (I_p) was higher at high CO₂ than mid CO₂, indicating an increased capability at alleviating the effects of photoinhibition at high CO₂, most likely attributed to CCM down-regulation and the up-regulation of photoprotective-related mechanisms. Interestingly, the I_p was also higher at low CO₂ than mid CO₂, which could be attributed to a low CO₂ stress response triggering an up-regulation of photoprotective mechanisms. However, due to the standard error of the modelled slope of photoinhibition (β), the propagated error of the low CO₂ I_p value is large, making a difference between the low and mid CO₂ treatment a possible artefact of the curve fit.

Minimum temperature for growth (T_min)

The minimum temperature at which Trichodesmium spp. can grow is likely set by the ability to maintain anoxic conditions that are required to prevent nitrogenase inhibition [8]. Unlike heterocystous diazotrophs, Trichodesmium spp. do not possess a glycolipid barrier that prevents or reduces the diffusion of dissolved gases into the cell [8]. To prevent O₂ inhibiting nitrogenase, Trichodesmium spp. uncouple photosynthesis from N₂ fixation both temporally and spatially [54,55], maintains a high mitochondrial respiration rate [8,56] and may also use O₂ scavenging processes (Mehler reaction and hydrogenase activity) to maintain an anoxic state within the diazocytes [34,57,58]. Stal [8] calculated that respiration would not be able to maintain anoxia at T < 17°C, which is slightly below the T_min of 19 to 21°C that we (Table 3) and others [26] have observed. The higher T_min that we observed at low CO₂ may reflect lower availability of substrate for respiration due to lower photosynthesis rate, or it may reflect the higher metabolic demand for operation of a carbon concentrating mechanism, which diverts energy that would otherwise be available to fuel N₂ fixation.

Supra-optimal temperatures for growth (T_opt to T_max)

The shape of the growth curve from T_opt to T_max exhibited two distinct sections, where growth steadily decreases to ~ 29°C, before plummeting to zero at T_max. This two-part decline in growth was most pronounced at low light-low CO₂, which may in part be due to an enhanced CCM activity limiting the efficacy of certain heat stress processes.

The maximum temperature limit for growth (T_max) was similar across all light and CO₂ treatments. The primary targets of thermal damage in vascular plants include the oxygen evolving complex along with the associated cofactors in photosystem II (PSII), the activity of the carboxylating enzyme Rubisco and the ATP generating system [59]. The maintenance of high values of F_v/F_m at temperatures above T_opt under light-limiting conditions indicates that PSII was not damaged by high temperature in these benign low light conditions irrespective of pCO₂. In contrast, under light-saturated conditions, F_v/F_m peaked near T_opt under all pCO₂ treatments.

Reduced growth rates caused by temperatures exceeding T_opt may perhaps be due to the inhibition of Rubisco activity or an increase in the ratio of oxygenation to carboxylation by Rubisco. In comparison to other photosynthetic enzymes, Rubisco has a low turnover rate requiring high concentrations to maintain a sufficient rate of photosynthesis. Rubisco activase has a lower maximum temperature tolerance than Rubisco itself. Therefore, if the temperature exceeds the temperature limit to which an organism is adapted, the activity of Ruisco activase is severely reduced and unable to offset the rate of Rubisco deactivation, reducing or inhibiting photosynthesis [60–62]. Previous studies have shown Rubisco activase activity to significantly decrease at ~ 30°C, with maximum inefficiency occurring at 45°C [61]. Although the T_max values reported here were ~ 31°C, it is likely that the concentration, substrate affinities and the temperature adaptations of Trichodesmium’s Rubisco activase and Rubisco itself would differ from terrestrial plants and other cyanobacteria.

Rubisco in Trichodesmium spp. is characterised by a low affinity for CO₂ relative to ambient CO₂ concentrations [63–65]. As temperatures increase, the solubility of CO₂ decreases more rapidly than that of O₂. As such, increasing temperature favours the oxygenation of Rubisco (photorespiration), which reduces the rate of 3-Phosphoglycerate production and requires significant amounts of energy and reductant to process the NH₃ and potentially enzyme-inhibiting (i.e. 2-P glycolate) by-products. The solubility of CO₂ and O₂ within the carboxysomes is principally governed by temperature and not by light. Despite this there was a low light, low CO₂ integrated effect on T_max. A possible explanation for this observation could be that at low CO₂, the CCM is up-regulated and functioning at maximum efficiency to maintain a sufficient internal CO₂ concentration within the carboxysomes. At low light, photosynthetic rates are reduced, limiting the amount of energy that can be invested into CCM-related proteins. Thus, the combination of low light with low CO₂ may make cells more susceptible to photorespiration, particularly at elevated temperatures where the solubility of CO₂ is reduced.

To recap, we suggest that the observed two-part decline in growth between the T_opt and T_max values are due to two processes, photorespiration and Rubisco inhibition. The former primarily mediated by the temperature-driven changes to the solubility of O₂ and CO₂, where the response is compounded by other co-limiting factors (i.e. low CO₂ and light); and the latter solely mediated by the temperature-driven response on enzyme kinetics, and is determined by Trichodesmium’s thermal tolerance and is not influence by other abiotic factors.

Potential effects of future climate change on the biogeography of Trichodesmium

Although temperature, CO₂ and light intensity place limits on the potential for Trichodesmium growth, whether this potential is achieved depends on the availability of limiting nutrients (e.g. P, Fe). Trichodesmium spp. are most abundant in regions of the sea that receive high inputs of Fe via deposition of dust transported from arid source regions [66]. This may reflect Trichodesmium’s high metalloenzyme inventory, which suggests that iron, instead of phosphorus, may be the key nutrient in constraining Trichodesmium growth and productivity in the present and future oceans [67]. Increases in the supply of Fe to the ocean via increased dust deposition as desertification increases in a warmer climate may also favour Trichodesmium spp. [68–70]. However, this advantage may be negated if increases in the dust load occur where elevation of temperature above 26°C (T_opt) inhibits growth of Trichodesmium.

Climate models indicate that the water column in oligotrophic regions of the ocean will become more stratified as global sea surface temperatures rise due to global warming, decreasing vertical mixing and thereby limiting the supply of new nutrients from the deep ocean [5]. The documented increase of water column transparency (decline of phytoplankton chlorophyll) in low to mid latitude oligotrophic oceans over the past 120 years suggests that phytoplankton abundance has declined. This is presumed to be due to an increase in vertical stratification [71], although this century scale observation does not necessarily appear to explain local changes of chlorophyll and stratification on shorter time scales [72]. Increased water column stratification with lower inorganic N concentrations in the surface mixed layer should give photosynthetic diazotrophs such as Trichodesmium spp. a competitive advantage over other phytoplankton [73]. However, exposure to high light intensities in shallower near surface mixed layers may reduce growth by requiring more energy be used for prevention or repair of damage due to photoxidative stress [74]. Although vertical inorganic P fluxes will also decline as the water columns become more stable, Trichodesmium spp. have several adaptations that allow it to exploit P-limited environments. These include an extracellular hydrolysis of dissolved organic P (DOP) by alkaline phosphatase activity [75], which can provide an additional source of P for growth. Trichodesmium spp. can also upregulate synthesis of proteins associated with high-affinity transport and hydrolysis of phosphonate compounds [76]. To date, this pathway is absent from other sequenced marine cyanobacterial genomes, and thus represents a unique adaption for scavenging and hydrolysing phosphorus compounds from organic sources, and growing in otherwise P-limited regions. In addition, Trichodesmium spp. may be capable of mining phosphate by increasing their density by carbohydrate production facilitating sinking to below the nutricline, where they take up phosphate before using gas vesicles to increase buoyancy enabling a return to the surface of the euphotic zone [77,78]. Finally, the additional N and energy investments required for exoenzymatic breakdown of DOP appears to give N₂ fixers a competitive advantage in oligotrophic regions [79].

The thermal niche of Trichodesmium, which is confined to a relatively narrow temperature range from 19–30°C, is a key factor that sets the limits of its geographic distribution. It is clear that temperature plays a pivotal role in constraining Trichodesmium’s global distribution as i), peak abundance for Trichodesmium sp. occurs in regions that are supra-optimal temperature for growth of IMS101 (Fig 2) and other Trichodesmium isolates (e.g. GBRTRL 1101, KO4-20, RLI or 2175) that have been investigated [27,28] and ii), the growth response to temperature is negatively skewed. Growth rates decrease significantly with a 3 to 4°C increase above the optimal (26°C). The areal distribution of Trichodesmium spp. is predicted to increase as the 20°C isotherm slowly shifts pole-wards [80,81]. None-the-less, the negative effects of increased temperature and light at low latitudinal regions where temperature already exceeds T_opt may lead to a contraction of the range at low latitudes. How future increases of SST will influence the distribution will depend on the capacity for Trichodesmium spp. to adapt by increasing its upper thermal tolerance limit.

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Fig 2. Trichodesmium is found most frequently and its biomass is highest where water temperature is supra-optimal for growth of IMS101.

The dashed lines represent the minimum (T_min), optimal (T_opt) and maximum (T_max) temperature limits for Trichodesmium IMS101 growth for the mid CO₂ (~ 380 ppm), high-light treatment. Data from the MARine Ecosystem Data archive (https://doi.pangaea.de/10.1594/PANGAEA.774851).

https://doi.org/10.1371/journal.pone.0168796.g002

Increases in atmospheric CO₂ are transmitted to the ocean, increasing the dissolved CO₂, and causing ocean pH and carbonate concentration to decline and bicarbonate concentration to increase. Recent research suggests that ocean acidification has greater potential to increase phytoplankton growth rates in areas of the ocean where temperature is equal to or less than the T_opt [82]. In regards to Trichodesmium IMS101, previous research indicates that increasing CO₂ above 380–400 ppm can lead to modest increases in Trichodesmium growth rate [33,34,38–40,42,43], some studies have reported declines in growth at elevated CO₂ [36,37] and others no change [32,35]. Our study suggests that ocean acidification will have a small to negligible effect for growth at the supraoptimal temperatures above 27°C. Differing growth responses to elevated CO₂ between key phytoplankton types could cause sufficient shifts in competitive fitness to alter community structure [83]. Thus, the effect of ocean acidification, albeit indirectly, may still play a role in constraining Trichodesmium’s global distribution.

Supporting Information

S1 Fig. Trichodesmium’s three growth phases (i.e. lag, exponential and stationary) defined by changes in the dark-adapted minimum fluorescence (F_o) over time (solid line).

All experimental cultures were semi-continuously cultured at balanced growth at the lower section of the exponential growth phase (dashed line). The highest F_o value a culture achieved prior to dilution was ~ 20% of the stationary phase F_o value.

https://doi.org/10.1371/journal.pone.0168796.s001

(TIF)

S2 Fig. The three criteria applied to each treatment to generate a median growth rate (Treatment reported here: high CO₂ (~ 720 ppm), 400 μmol photons m^-2 s^-1).

The R code was applied to the full data set of each treatment (A). Criterion 1 identifies and discards data associated with crashed cultures (large circles) or lagged growth (B). Criterion 2 then identifies and discards individual data points (small circles) which, if incorporated, would significantly alter the gradient of a slope (C). Finally, criterion 3 identifies and discards slopes (dashed lines) associated with acclimation (D). The remaining slopes are associated with balanced growth, and were used to calculate a median growth rate (E).

https://doi.org/10.1371/journal.pone.0168796.s002

(TIF)

S1 File. Control of inorganic carbon chemistry in the culture medium.

https://doi.org/10.1371/journal.pone.0168796.s003

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S2 File. Criteria employed to determine fully acclimated growth rate.

https://doi.org/10.1371/journal.pone.0168796.s004

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S3 File. Cost of CCM on Trichodesmium growth.

https://doi.org/10.1371/journal.pone.0168796.s005

(DOCX)

S4 File. R code to implement determination of fully acclimated growth rate.

https://doi.org/10.1371/journal.pone.0168796.s006

(DOCX)

S1 Table. The range of the experimental treatments used to measure Trichodesmium’s light and temperature growth curves.

Temperature response growth conditions; low (~ 180 ppm), mid (~ 380 ppm) and high (~ 720 ppm) CO₂, 40 μmol photons m^-2 s^-1 (LL) and 400 μmol photons m^-2 s^-1 (HL), ranging between 18–31°C. Light response growth conditions; low (~ 180 ppm), mid (~ 380 ppm) and high (~ 720 ppm) CO₂, 26°C, ranging between 20–1400 μmol photons m^-2 s^-1). A circle (O) represents a growing culture; a cross (X) represents a condition where growth did not occur; a dash (-) represents a condition that was not used for culturing.

https://doi.org/10.1371/journal.pone.0168796.s007

(DOCX)

S2 Table. Calculation of the minimum energetic requirement for growth of Trichodesmium.

Footnotes to S2 Table. ^a CO₂ fixation to carbohydrate in the Calvin cycle according to the following stoichiometry. CO₂ + 3 ATP + 2 NADPH → CH₂O + H₂O + 3ADP +3 P_i. The photon requirement (9 photons/CO₂ fixed) is from Raven et al. [84]. ^b Carbon concentrating mechanism where the only energised step is the influx of HCO₃^- at one membrane between the medium and Rubisco. Lower value assumes no leakage, whereas the upper value assumes leakage rate equals to the rate of photosynthesis [84]. ^c The energetic cost of N₂ fixation was calculated assuming complete recycling of H₂ to recover ATP was calculated from the following stoichiometry: N₂ + 6 H⁺ + 6 e^- + 13 ATP → 2 NH₃ + 13 ADP + 13 P_i.^d The cost of ammonium assimilation into amino acids is 1 ATP/NH₃ and 1 NADPH (2 reducing equivalents) assimilated via GOGAT. Protein synthesis would require an additional 4 ATP per peptide bond formed. ^e Based on a typical photosynthetic quotient of 1.2 O₂ evolved per CO₂ fixed for algae growing with ammonium as the inorganic N source. This accounts for the more reduced state of lipids and proteins relative to carbohydrates. ^f Total cost of synthesising 1 unit of C-biomass assumes a Redfield C:N ratio of 106C:16N and that protein accounts for all of the cell N. ^g Photon requirements were calculated based on 1/3 ATP generated per photon absorbed during linear photosynthetic electron transfer from H₂O to O₂, with the additional ATP requirement from provided either by LPET from H₂O to H₂O (water-water cycle) with 1/3 ATP generated per photon absorbed (higher estimate) or by cyclic photosynthetic electron transfer around photosystem I with 1 ATP generated per photon absorbed.

https://doi.org/10.1371/journal.pone.0168796.s008

(DOCX)

S3 Table. The summary of rules for error propagation.

Key; x is the calculated value, σ_x is the calculated error of uncertainty; a, b and c are known quantities; σ_a, σ_b and σ_c are errors of uncertainty for a, b and c, respectively; y is a constant with no measure of uncertainty.

https://doi.org/10.1371/journal.pone.0168796.s009

(DOCX)

Acknowledgments

Tobias Boatman was supported by a UK Natural Environment Research Council PhD studentship (NE/J500379/1 DTB). The authors wish to thank Prof Graham Upton for the R scripts used for determining growth rate.

Author Contributions

Conceptualization: TGB TL RJG.
Data curation: TGB.
Formal analysis: TGB RJG.
Funding acquisition: RJG TL.
Investigation: TGB.
Methodology: TGB TL RJG.
Project administration: TGB.
Resources: TGB RJG.
Software: TGB.
Supervision: RJG.
Validation: TGB RJG TL.
Visualization: TGB.
Writing – original draft: TGB RJG.
Writing – review & editing: TGB TL RJG.

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A Key Marine Diazotroph in a Changing Ocean: The Interacting Effects of Temperature, CO₂ and Light on the Growth of Trichodesmium erythraeum IMS101

A Key Marine Diazotroph in a Changing Ocean: The Interacting Effects of Temperature, CO₂ and Light on the Growth of Trichodesmium erythraeum IMS101

Figures

Abstract

Introduction

Materials and Methods

Experimental setup

Culture medium and carbonate chemistry

Temperature gradient

Light gradient

Chlorophyll fluorescence

Data processing to obtain balanced growth rates

Growth rate versus light curve

Growth versus temperature curve

Results

Discussion

Light and CO₂ dependencies of growth at T_opt

Minimum temperature for growth (T_min)

Supra-optimal temperatures for growth (T_opt to T_max)

Potential effects of future climate change on the biogeography of Trichodesmium

Supporting Information

S1 Fig. Trichodesmium’s three growth phases (i.e. lag, exponential and stationary) defined by changes in the dark-adapted minimum fluorescence (F_o) over time (solid line).

S2 Fig. The three criteria applied to each treatment to generate a median growth rate (Treatment reported here: high CO₂ (~ 720 ppm), 400 μmol photons m^-2 s^-1).

S1 File. Control of inorganic carbon chemistry in the culture medium.

S2 File. Criteria employed to determine fully acclimated growth rate.

S3 File. Cost of CCM on Trichodesmium growth.

S4 File. R code to implement determination of fully acclimated growth rate.

S1 Table. The range of the experimental treatments used to measure Trichodesmium’s light and temperature growth curves.

S2 Table. Calculation of the minimum energetic requirement for growth of Trichodesmium.

S3 Table. The summary of rules for error propagation.

Acknowledgments

Author Contributions

References

Figures

Abstract

Introduction

Materials and Methods

Experimental setup

Culture medium and carbonate chemistry

Temperature gradient

Light gradient

Chlorophyll fluorescence

Data processing to obtain balanced growth rates

Growth rate versus light curve

Growth versus temperature curve

Results

Discussion

Light and CO2 dependencies of growth at Topt

Minimum temperature for growth (Tmin)

Supra-optimal temperatures for growth (Topt to Tmax)

Potential effects of future climate change on the biogeography of Trichodesmium

Supporting Information

S1 Fig. Trichodesmium’s three growth phases (i.e. lag, exponential and stationary) defined by changes in the dark-adapted minimum fluorescence (Fo) over time (solid line).

S2 Fig. The three criteria applied to each treatment to generate a median growth rate (Treatment reported here: high CO2 (~ 720 ppm), 400 μmol photons m-2 s-1).

S1 File. Control of inorganic carbon chemistry in the culture medium.

S2 File. Criteria employed to determine fully acclimated growth rate.

S3 File. Cost of CCM on Trichodesmium growth.

S4 File. R code to implement determination of fully acclimated growth rate.

S1 Table. The range of the experimental treatments used to measure Trichodesmium’s light and temperature growth curves.

S2 Table. Calculation of the minimum energetic requirement for growth of Trichodesmium.

S3 Table. The summary of rules for error propagation.

Acknowledgments

Author Contributions

References

Light and CO₂ dependencies of growth at T_opt

Minimum temperature for growth (T_min)

Supra-optimal temperatures for growth (T_opt to T_max)

S1 Fig. Trichodesmium’s three growth phases (i.e. lag, exponential and stationary) defined by changes in the dark-adapted minimum fluorescence (F_o) over time (solid line).

S2 Fig. The three criteria applied to each treatment to generate a median growth rate (Treatment reported here: high CO₂ (~ 720 ppm), 400 μmol photons m^-2 s^-1).