Literature DB >> 27293673

Contemporary reliance on bicarbonate acquisition predicts increased growth of seagrass Amphibolis antarctica in a high-CO2 world.

Owen W Burnell1, Sean D Connell1, Andrew D Irving2, Jennifer R Watling1, Bayden D Russell1.   

Abstract

Rising atmospheric CO2 is increasing the availability of dissolved CO2 in the ocean relative to HCO3 (-). Currently, many marine primary producers use HCO3 (-) for photosynthesis, but this is energetically costly. Increasing passive CO2 uptake relative to HCO3 (-) pathways could provide energy savings, leading to increased productivity and growth of marine plants. Inorganic carbon-uptake mechanisms in the seagrass Amphibolis antarctica were determined using the carbonic anhydrase inhibitor acetazolamide (AZ) and the buffer tris(hydroxymethyl)aminomethane (TRIS). Amphibolis antarctica seedlings were also maintained in current and forecasted CO2 concentrations to measure their physiology and growth. Photosynthesis of A. antarctica was significantly reduced by AZ and TRIS, indicating utilization of HCO3 (-)-uptake mechanisms. When acclimated plants were switched between CO2 treatments, the photosynthetic rate was dependent on measurement conditions but not growth conditions, indicating a dynamic response to changes in dissolved CO2 concentration, rather than lasting effects of acclimation. At forecast CO2 concentrations, seedlings had a greater maximum electron transport rate (1.4-fold), photosynthesis (2.1-fold), below-ground biomass (1.7-fold) and increase in leaf number (2-fold) relative to plants in the current CO2 concentration. The greater increase in photosynthesis (measured as O2 production) compared with the electron transport rate at forecasted CO2 concentration suggests that photosynthetic efficiency increased, possibly due to a decrease in photorespiration. Thus, it appears that the photosynthesis and growth of seagrasses reliant on energetically costly HCO3 (-) acquisition, such as A. antarctica, might increase at forecasted CO2 concentrations. Greater growth might enhance the future prosperity and rehabilitation of these important habitat-forming plants, which have experienced declines of global significance.

Entities:  

Keywords:  Amphibolis antarctica; carbon dioxide; carbonic anhydrase; electron transport rate; oxygen evolution; photosynthesis

Year:  2014        PMID: 27293673      PMCID: PMC4732469          DOI: 10.1093/conphys/cou052

Source DB:  PubMed          Journal:  Conserv Physiol        ISSN: 2051-1434            Impact factor:   3.079


Introduction

Seagrasses are habitat-forming marine plants that provide a number of critical ecological services to coastal zones, such as stabilization of sediments, support of trophic food webs, nutrient cycling and carbon sequestration (Costanza ; Duarte, 2002; Waycott ; Irving ). When angiosperms first entered the aquatic realm nearly 90 million years ago, atmospheric CO2 levels were much greater (approximately three to seven times) than today (Beer and Koch, 1996; Beardall ; Berner and Kothavala, 2001). Since that time, atmospheric CO2 concentrations have generally declined (Berner and Kothavala, 2001), a trend which has resulted in potential carbon limitation for many marine plants. This low atmospheric CO2 has reduced the availability of inorganic carbon (Ci) for photosynthesis, which is compounded in marine systems by the slow diffusion of CO2 in seawater and the slow rate of conversion of HCO3− to CO2 when uncatalysed (Beer, 1989; Larkum ; Schwarz ). The recent spike in atmospheric CO2 linked to anthropogenic activities is changing Ci availability in marine systems and is thus likely to affect carbon acquisition and growth in primary producers, such as seagrasses (Koch ). While HCO3− is more readily available than dissolved CO2 in marine systems, it cannot diffuse passively across the cell plasma membrane, and therefore, extracellular mechanisms have evolved to aid aquatic plants in the acquisition of CO2 from HCO3− for photosynthesis, thereby reducing Ci limitation (Larkum, ; Invers ; Hellblom ). Three primary extracellular HCO3− acquisition systems have been described for seagrasses (Beer and Koch, 1996; James and Larkum, 1996; Hellblom ; Beer ). First, the enzyme carbonic anhydrase (CA) can catalyse the rapid conversion of HCO3− to CO2 to restore CO2/HCO3− equilibrium at the plasma membrane or concentrate CO2 at the chloroplast level (System A, sensu Beer ). Second, the outward pumping of protons (H+) from cells can create H+ gradients to aid the cotransport of H+ and HCO3− back across the plasma membrane (System B). Finally, the combination of extracellular CA-catalysed dehydration of HCO3− to CO2 within acidified zones created by the extrusion of H+ across the plasma membrane can concentrate CO2 and encourage diffusion into cells (System C). For a full review of these mechanisms, see Beer . All seagrasses tested to date appear to be reliant, to some extent, on the extracellular activity of CA for carbon acquisition, suggesting that they could experience some degree of carbon limitation at current atmospheric CO2 concentrations (Larkum ; Koch ). Also, there is an energetic cost associated with both the production of extracellular CA and the more active mode of carbon acquisition using H+ extrusion (Spalding and Ogren, 1982; Raven and Lucas, 1985; Falk and Palmqvist, 1992; Kübler and Raven, 1995; Fridlyand ). As atmospheric, and thus oceanic, CO2 continues to accumulate, this energetic cost could diminish if reliance on these carbon-acquisition mechanisms decreases, relative to direct CO2 usage (Beardall and Giordano, 2002; Raven ; Koch ). For example, some lower order marine producers (i.e. cyanobacteria and eukaryotic algae) can adjust their HCO3−-acquisition strategies within a number of hours of exposure to different CO2 conditions (Falk and Palmqvist, 1992; Matsuda and Colman, 1995; Brueggeman ). Seagrasses may have a similar ability to regulate energetically costly Ci acquisition, but our understanding of this has advanced slowly relative to lower order producers (i.e. cyanobacteria and eukaryotic algae) that have shorter generation times and can therefore be manipulated more easily for genetic expression studies (Larkum, ). Increasing CO2 availability and any down-regulation of HCO3− acquisition could result in improved photosynthetic efficiency as the energy required to acquire carbon decreases, which may also translate to greater photosynthetic rates (Badger and Andrews, 1982; Raven ; Koch ). Likewise, if CA-mediated HCO3− mechanisms are maintained, they may become more efficient at lower ambient pH levels (Koch ). However, this potential for more efficient and greater photosynthesis may be accompanied by a net gain in leaf growth or energy storage only when other resources, such as light or nitrogen, are not limiting (Zimmerman ; Palacios and Zimmerman, 2007; Alexandre ). In many seagrass species with a heavy reliance on HCO3− for Ci acquisition, it is unknown whether they will undergo subsequent changes in growth as dissolved CO2 increases. In the present study, the reliance of Amphibolis antarctica (Labill.) Sonder et Ascherson on HCO3− pathways of Ci acquisition was investigated by using an inhibitor of the enzyme CA (i.e. acetazolamide, AZ) and the biological buffer (i.e. tris(hydroxymethyl)aminomethane, TRIS). Having established that A. antarctica has a significant reliance on energetically costly HCO3− acquisition, a second experiment was conducted in which juvenile A. antarctica were grown in the presence of ambient (∼390 ppm) and forecasted CO2 concentrations (∼900 ppm). It was hypothesized that photosynthesis and growth would increase for A. antarctica when CO2 was enriched, because the greater availability of CO2 relative to HCO3− might increase the photosynthetic efficiency of plants, as they may partition relatively fewer resources to energetically costly processes, such as HCO3−-uptake mechanisms or photorespiration.

Materials and methods

Plant material

Mature seagrasses were collected from a depth of 4 m at Marino Rocks in the Gulf St Vincent, South Australia (35°02.806 S, 138°30.350 E). Seagrasses were transported to The University of Adelaide and kept in recirculating aerated aquaria with lighting conditions similar to the collection site (∼60 µmol m−2 s−1) in a 12 h–12 h light–dark cycle for 1 week, during which time experiments to determine Ci-uptake mechanisms took place.

Inorganic carbon-acquisition mechanisms

The Ci-uptake mechanisms of seagrasses were investigated by inhibiting HCO3− pathways to carbon acquisition. Seagrasses were exposed to the inhibitor AZ or the biological buffer TRIS, either separately or in combination. The primary seagrass of interest was A. antarctica, but to identify the generality of the mechanism within and across genera, Ci-uptake mechanisms were also investigated for two other co-occurring seagrass species, the congener Amphibolis griffithii (Black) den Hartog and the species Posidonia sinuosa (Cambridge and Kuo), using the same methodology. Oxygen evolution rates were determined using a Clark-type oxygen electrode and the logging program Biograph (Axword Software, Adelaide, South Australia). An entire leaf of A. antarctica (∼20 mm long) that was free of epiphyte growth was placed in the electrode chamber in 4 ml of seawater filtered to 0.45 µm. The fourth or fifth youngest leaf on each leaf head was chosen because these leaves were mature and consistently free of epiphytes and other biota, as well as being the correct length to fit the photosynthetic chamber. The chamber was illuminated using a fibre-optic light, which delivered a photon flux density (PFD) of ∼500 µmol m−2 s−1 at the leaf surface that was sufficient to saturate photosynthesis in A. antarctica. This light level was chosen to represent peak irradiances previously recorded in A. antarctica meadows (A. D. Irving, unpublished data; Bryars ), but below levels shown to have a photoinhibitory effect on A. antarctica and other co-occurring species (Masini ; Ralph ). Light between 380 and 710 nm was measured by positioning the fibre quantum sensor of a diving pulse amplitude modulated (PAM) fluorometer (Walz, Effeltrich, Germany) in the electrode chamber. The PAM fluorometer fibre quantum sensor was calibrated against a LI-COR quantum sensor (Li-192SA; Lincoln, NE, USA). The electrode chamber was maintained at a constant temperature of 20°C using a transparent recirculating water jacket and was constantly mixed using a magnetic stirrer. Seagrass leaves were sealed in the chamber and covered with a black cloth to measure dark respiration. Respiration rates were allowed to stabilize for 3 min before recording. The chamber was then illuminated, and where necessary, the appropriate stock solutions (see below) were injected into the chamber using micro-syringes. Photosynthetic rates were allowed to stabilize for 2 min before recording. Photosynthetic and respiration rates were averaged over 3 min and are expressed on a chlorophyll basis (as micromoles of oxygen per gram of chlorophyll per minute). A 20 mm stock solution of the CA inhibitor AZ (Sigma Aldrich) was prepared in 50 mm sodium hydroxide (NaOH). A 1 m stock solution of TRIS (Sigma Aldrich) was prepared and the pH adjusted to ambient seawater pH (8.05). The buffer yielded a pH of 8.06 when injected into the electrode chamber. For AZ, 20 µl of stock solution was injected to achieve a final chamber concentration of 100 µm. For TRIS, 200 µl of stock solution was injected to achieve a final chamber concentration of 50 mm. Chamber conditions, including carbonate chemistry, are presented in Table 1a.
Table 1:

Sea water chemistry in the oxygen electrode chamber during buffer/inhibitor experiments (a; see Figs 1 and S1), during 12 week growth experiments (b; see Figs 2a and 3) and reciprocal switch measurements (c; Fig. 2b)

pHAT [µmol (kg sea water−1)]Salinity (‰)Temperature (°C)Total CO2 [µmol (kg sea water−1)]Partial pressure of CO2 (µatm)HCO3 [µmol (kg sea water−1)]CO3 [µmol (kg sea water−1)]CO2 [µmol (kg sea water−1)]
(a)
 Control8.05 ± 0.012533 ± 4938202223440198122814.0
 TRIS8.06 ± 0.012533 ± 4938202215424196823413.5
 AZ8.08 ± 0.022533 ± 4938202204404195024112.9
 TRIS + AZ8.06 ± 0.002533 ± 4938202211418196223613.3
(b)
 L[CO2]8.12 ± 0.0022701 ± 2740.3 ± 0.0619.8 ± 0.012309376201128511.8
 H[CO2]7.82 ± 0.0032697 ± 3540.0 ± 0.0519.9 ± 0.012498872230916127.5
(c)
 L[CO2]8.15 ± 0.0032648 ± 4340.6 ± 1.49202236338193029510.6
 H[CO2]7.82 ± 0.0072656 ± 4840.3 ± 1.35202454849226616226.7

Abbreviations: AZ, acetazolamide; TRIS, tris(hydroxymethyl)aminomethane. L[CO2] = low CO2, H[CO2] = high CO2. Measurements of pH, total alkalinity (AT), salinity and temperature (fixed at 20°C during photosynthetic trials) were used to calculate carbonate chemistry. Salinity was fixed at 38‰ during inhibitor experiments.

Sea water chemistry in the oxygen electrode chamber during buffer/inhibitor experiments (a; see Figs 1 and S1), during 12 week growth experiments (b; see Figs 2a and 3) and reciprocal switch measurements (c; Fig. 2b)
Figure 1:

The effects of inhibitors [tris(hydroxymethyl)aminomethane (TRIS), acetazolamide (AZ) and TRIS + AZ] on rates of photosynthesis and respiration in Amphibolis antarctica measured in seawater. Bars are means ± SEM (n = 8).

Figure 2:

(a) Rapid light curves of electron transport rate for A. antarctica grown and measured at 390 (L[CO2]) or 900 ppm (H[CO2]). Filled circles indicate L[CO2] and filled triangles H[CO2]. Data points are means ± SEM (n = 6). (b) Rates of photosynthesis and respiration in A. antarctica measured at either low (shaded bars) or high CO2 (open bars) and grown at either low (G L[CO2]) or high CO2 (G H[CO2]). Bars are means ± SEM (n = 5).

Figure 3:

Effect of growth [CO2] on total dry mass (DM; a), above-ground DM (b), below-ground DM (c), leaf initiation (d) and change in leaves per plant (e) for A. antarctica grown in L[CO2] and H[CO2] conditions for 12 weeks. Bars are means ± SEM (n = 6).

Abbreviations: AZ, acetazolamide; TRIS, tris(hydroxymethyl)aminomethane. L[CO2] = low CO2, H[CO2] = high CO2. Measurements of pH, total alkalinity (AT), salinity and temperature (fixed at 20°C during photosynthetic trials) were used to calculate carbonate chemistry. Salinity was fixed at 38‰ during inhibitor experiments.

Effects of CO2 on photosynthesis and growth

Juvenile A. antarctica seedlings were collected at the same depth and location as described above for adult plants and transported to an outdoor glasshouse at The University of Adelaide. Four individual seedlings were planted in sediment from the collection site in each of 12 transparent 2 litre microcosms (25 cm depth). Seagrasses were maintained at two CO2 concentrations, representing current atmospheric CO2 levels (∼390 ppm) and forecasted future CO2 levels (∼900 ppm) under emission scenario A1FI for the year 2100 (Meehl ), hereafter referred to as low CO2 (L[CO2]) and high CO2 (H[CO2]), respectively. Carbon dioxide was enriched by aerating the microcosms with a combination of ambient air and pure CO2 using a two-channel gas mixer (Columbus Instruments, Columbus, OH, USA), which is equivalent to maintaining treatments within an enriched CO2 atmosphere. Aeration helps to accelerate the diffusion of CO2 into seawater, also minimizing any variation driven by plant photosynthesis or respiration. The accuracy of the mixed gas aerating treatments can vary slightly dependent on ambient atmospheric conditions, but any such changes are minor and occur naturally whenever ambient air is used for aeration; ambient CO2 treatments are also subject to such natural fluctuations. Experimental conditions, including carbonate chemistry, in experimental microcosms were monitored throughout the experiment (Table 1b). Seventy per cent of seawater was replaced twice weekly to maintain salinity and alkalinity. Microcosms were in an outdoor glass house and they were shaded from full surface irradiance using a combination of 50 and 70% shade cloth. HOBO® waterproof light loggers (Onset, Wareham, MA, USA) were used to record light in lux, which was then converted to give an approximation of photosynthetically active radiation using the constant for natural sunlight (1 lux = 54 µmol m−2 s−1) recommended by Thimijan and Heins (1983). Average daily PFD was 42.5 µmol m−2 s−1 over a 12 h photoperiod, with an average daily maximum of 111.3 ± ’11.7 µmol m−2 s−1 recorded at 13.00 h. Shading was designed to replicate closely the light conditions recorded during a monitoring study on the Adelaide metropolitan coast, which found average daily PFD of ∼44 µmol m−2 s−1 over a 12 h photoperiod (Irving, 2009). One specific 40 day light monitoring deployment at ∼2 m (low tide) on the Adelaide metropolitan coast found average daily maximal PFD of 155.95 ± 20.54 µmol m−2 s−1 (A. D. Irving, unpublished data), which is comparable to the peak levels recorded in our acclimation study. The daily maximum in this monitoring study ranged from 7 to 453 µmol m−2 s−1, highlighting the dynamic nature of the light climate in the shallow sub-tidal near-shore zone, where the swell direction, wind direction, rainfall, runoff and topography can all influence turbidity and thus light attenuation.

Chlorophyll fluorescence

A submersible diving PAM fluorometer (Walz, Effeltrich, Germany) was used to record rapid light curves (RLCs) and maximal quantum yield (QYmax). Seagrasses were measured in situ in microcosms at L[CO2] and H[CO2] after 12 weeks. The photon flux densities used during the RLCs were 0, 18, 37, 62, 92, 125, 186, 256 and 400 µmol m−2 s−1, each of 10 s duration, followed by a saturating pulse of light, to record the effective quantum yield (ΦPSII). All RLC measurements were taken between 11.00 and 12.30 h. The light absorbance of every sample leaf was measured by placing a quantum sensor directly behind the leaf and recording the percentage of ambient light that was absorbed. The electron transport rate (ETR) was calculated as follows: ETR = ΦPSII × PFD × leaf absorbance × 0.5. For quantitative comparisons of RLCs [i.e. initial slope (α), maximal electron transport rate (ETRmax) and light saturation (Ik)], the ETR data were fitted with a least-squares non-linear regression curve based on the exponential difference equation from Platt using the Microsoft Excel (Microsoft, Redmond, WA, USA) solvers provided by Ritchie (2008). Light saturation was calculated as ETRmax /α, where α is the initial slope of the non-inhibited section of the fitted curve. The value of QYmax was determined from pre-dawn fluorescence measurements.

Photosynthesis and respiration

Following 12 weeks at experimental CO2 levels, photosynthesis and respiration rates were measured as described above, but without the addition of buffers and inhibitors. Reciprocal measurements were made, where individuals from each CO2 treatment were measured at both low and high CO2, to determine whether physiological acclimation had occurred over the course of the experiment (see Table 1c for a description of chamber conditions). Electron transport rates at 400 µmol m−2 s−1 and maximal gross photosynthetic rates were then used to calculate ETR-to-O2 ratios (i.e. moles of electrons per mole of O2 evolved). This was done for L[CO2] and H[CO2] plants tested in their respective growth treatments.

Growth

Growth parameters were measured after 12 weeks. Leaves and shoots (above ground) were separated from roots and rhizomes (below ground) and dried for 48 h at 60°C to measure dry mass (DM). Above-ground components were then washed in 5% HCl to remove any calcified epiphytes, redried for 48 h at 60°C and reweighed. Leaf initiation was recorded by trimming the corner of the second youngest leaf on the highest leaf head of each seedling at the commencement of the growth experiment. On juveniles, this method of monitoring leaf growth is less obtrusive than sheath marking or using leaf ties, which can impact meristem growth and plant buoyancy (O. W. Burnell, personal observation). The total number of leaves on each leaf head was recorded before planting and again after 12 weeks to calculate the change in total leaf number, which accounted for different rates of leaf shedding and production from any new meristems.

Chlorophyll determination

Chlorophyll content was measured to enable expression of photosynthesis and respiration per unit of chlorophyll. Following oxygen electrode measurements, seagrass material was removed from the chamber, rinsed in milliQ water, and immediately frozen in liquid nitrogen. Samples were then stored at −80°C until extractions were conducted. Chlorophyll concentrations were determined using the methodology of Granger and Lizumi (2001). Briefly, leaves were soaked in 1 ml of 100% acetone in dark, refrigerated conditions for 1 h. Seagrass and acetone were then transferred to a chilled mortar and pestle and ground using an additional 1 ml of 86.7% acetone and acid washed sand until they were reduced to a flocculent slurry. Two drops of 1% MgCO3 were added before diluting to 4 ml with 86.7% acetone to achieve a final sample concentration of 90% acetone. Samples were then centrifuged for 5 min at 670.8 g of relative centrifugal force. Absorbance of the supernatant was measured in a spectrophotometer (Jenway 6405, Stone, Staffordshire, UK) at 647, 664 and 725 nm. Chlorophyll concentrations were calculated using equations from Jeffrey and Humphrey (1975).

Results

It was evident that A. antarctica uses HCO3− pathways for Ci acquisition, because light-saturated photosynthesis declined by ∼54% when AZ and TRIS were added in combination (Fig. 1). The sensitivity of A. antarctica to both AZ and the TRIS buffer was consistent with a System A + B mode of Ci acquisition (Beer ). The lack of an interactive effect in the two-factor ANOVA provided no support for a System C mode of acquisition (Table 2a). Inorganic carbon uptake in the congener A. griffithii followed a similar pattern to A. antarctica, in that photosynthesis declined by ∼57% when AZ and TRIS were added in combination; however, an interaction between AZ and TRIS in the two-factor ANOVA provided better support for a System C mode of acquisition (F1,28 = 7.88, P = 0.008; Supplementary material Fig. S1a and Supplementary material Table S1). In contrast, the species P. sinuosa was insensitive to the addition of the TRIS buffer and only moderately affected by the inhibitor AZ, highlighting a lesser dependency on HCO3− pathways for photosynthesis (Supplementary material Fig. S1b and Supplementary material Table S1). Dark respiration did not differ between experimental treatments for any of the three species, and therefore, analyses are not presented (Fig. 1 and Supplementary material Fig. S1). For rates of photosynthesis and respiration per gram of fresh mass, see Supplementary material Table S2.
Table 2:

ANOVA for the effects on photosynthesis in A. antarctica of buffer/inhibitor (a; in seawater/control, TRIS, AZ and TRIS + AZ; see Fig. 1) and reciprocal switch (b; i.e. plants were grown at either L[CO2] or H[CO2] and then measured at both L[CO2] and H[CO2]; see Fig. 2b)

Sourced.f.MSEFP-Value
(a) Buffer/inhibitor, A. antarctica
 TRIS124 5406.360.016
 AZ117 5174.540.035
 TRIS × AZ121570.560.467
 Residual283858
(b) Reciprocal switch, A. antarctica
 Measurement1578 8109.660.005
 Growth123 9960.400.574
 Measurement × growth190 0601.500.252
 Residual1659 916

Abbreviations: d.f., degrees of freedom; F, f-statistic; MSE, mean squared error. No significant differences were found between respiration rates; therefore, analyses are not presented.

ANOVA for the effects on photosynthesis in A. antarctica of buffer/inhibitor (a; in seawater/control, TRIS, AZ and TRIS + AZ; see Fig. 1) and reciprocal switch (b; i.e. plants were grown at either L[CO2] or H[CO2] and then measured at both L[CO2] and H[CO2]; see Fig. 2b) Abbreviations: d.f., degrees of freedom; F, f-statistic; MSE, mean squared error. No significant differences were found between respiration rates; therefore, analyses are not presented. The effects of inhibitors [tris(hydroxymethyl)aminomethane (TRIS), acetazolamide (AZ) and TRIS + AZ] on rates of photosynthesis and respiration in Amphibolis antarctica measured in seawater. Bars are means ± SEM (n = 8). Forecasted CO2 increased both the ETR and photosynthesis of A. antarctica when measured in growth conditions (Fig. 2 and Table 2b). The mean ETRmax from the fitted regression curves was 7.39 ± 0.80 µmol electrons m−2 s−1 for L[CO2] plants, compared with 10.04 ± 0.55 µmol electrons m−2 s−1 for H[CO2] plants (F1,10 = 7.561, P = 0.028). The onset of light saturation (Ik) for ETR occurred at 27.12 ± 2.60 µmol m−2 s−1 for L[CO2], compared with 35.79 ± 2.82 µmol m−2 s−1 for H[CO2] plants (F1,10 = 5.13, P = 0.049). In contrast, there was no difference in the initial slope (α) of ETR (0.28 ± 0.03 and 0.29 ± 0.02) or QYmax (0.656 ± 0.033 and 0.683 ± 0.017) for L[CO2] and H[CO2], respectively, thus analyses are not presented. (a) Rapid light curves of electron transport rate for A. antarctica grown and measured at 390 (L[CO2]) or 900 ppm (H[CO2]). Filled circles indicate L[CO2] and filled triangles H[CO2]. Data points are means ± SEM (n = 6). (b) Rates of photosynthesis and respiration in A. antarctica measured at either low (shaded bars) or high CO2 (open bars) and grown at either low (G L[CO2]) or high CO2 (G H[CO2]). Bars are means ± SEM (n = 5). When plants were reciprocally switched between CO2 treatments, measurement CO2 had a significant effect on photosynthesis of both L[CO2] and H[CO2] grown plants (Fig. 2b and Table 2b). In contrast, there was no effect of growth CO2; that is, seagrasses photosynthesis was responding primarily to measurement conditions (i.e. dissolved CO2), rather than exhibiting significant physiological acclimation to growth in the different CO2 treatments. Molar ratios between ETR and gross oxygen evolution based on leaf area were 9.51 mol electrons (mol O2)−1 for L[CO2] plants and 8.08 mol electrons (mol O2)−1 for H[CO2] plants. Growth of juvenile seagrass was greater at H[CO2], with total biomass (F1,10 = 4.26, P = 0.050), below-ground biomass (F1,10 = 5.42, P = 0.043) and change in leaf number (F1,10 = 5.40, P = 0.047) significantly higher than for L[CO2] grown plants. However, there was no significant difference in above-ground biomass (F1,10 = 2.79, P = 0.139) or leaf initiation from each individual meristem (F1,10 = 3.96, P = 0.087; Fig. 3a–e). Significant correlations between below-ground biomass and each of the above-ground growth parameters suggested that interdependent positive relationships existed between above- and below-ground growth (Fig. 4a–c).
Figure 4:

Correlations between below-ground biomass (expressed as DM per seagrass) and above-ground growth parameters (expressed as DM biomass per seagrass, leaf initiation per meristem and change in leaves per seagrass) for A. antarctica. Data points are the average in each microcosm (n = 6).

Effect of growth [CO2] on total dry mass (DM; a), above-ground DM (b), below-ground DM (c), leaf initiation (d) and change in leaves per plant (e) for A. antarctica grown in L[CO2] and H[CO2] conditions for 12 weeks. Bars are means ± SEM (n = 6). Correlations between below-ground biomass (expressed as DM per seagrass) and above-ground growth parameters (expressed as DM biomass per seagrass, leaf initiation per meristem and change in leaves per seagrass) for A. antarctica. Data points are the average in each microcosm (n = 6).

Discussion

The three seagrass species tested were sensitive to the inhibition of HCO3−-uptake mechanisms, indicating that at or under contemporary CO2 concentrations they are reliant on energetically costly Ci acquisition. Seagrasses are commonly known to use these HCO3− pathways for photosynthesis (Beer ; Millhouse and Strother, 1986; James and Larkum, 1996; Beardall, ; Hellblom ); however, we have a limited understanding of how they regulate these mechanisms when faced with environmental variation (Larkum, ) and any implications of this for long-term growth. Any increase in the proportion of direct CO2 uptake relative to energetically costly HCO3− acquisition could benefit their carbon balance and thus growth rate (Beardall and Giordano, 2002; Raven ; Koch ). In accordance with such predictions, we found that increased photosynthesis and growth of A. antarctica was accompanied by lower ETR-to-O2 ratios, indicating that not only growth but also photosynthetic efficiency could increase at forecasted CO2 concentrations. Greater availability of CO2 increased the ETRmax in A. antarctica, as has been reported in other seagrass species (Jiang ; Alexandre ). However, changes in ETR at forecasted CO2 concentrations were small relative to increases in light-saturated photosynthesis measured by O2 evolution (i.e. 1.4-fold for ETR vs. 2.1-fold for O2 evolution). This difference translated to lower ETR-to-O2 ratios calculated for H[CO2] plants when compared with L[CO2] plants (i.e. 8.08 vs. 9.51 mol electrons (mol O2)−1, respectively). This molar ratio is also commonly referred to in its inverse form, which would equate to 0.105 and 0.124 mol O2 (mol electrons)−1 for L[CO2] and H[CO2] plants, respectively. While these values differ from the theoretical maximum of 0.25 mol O2 (mol electrons)–1 that is based on the minimal number of electrons needed to produce a given amount of O2 during photosynthesis (i.e. 4 mol electrons (mol O2)−1; Walker, 1987), recorded values for different seagrass species are known to vary widely (Beer ; Silva ). Given that ETR-to-O2 ratios were measured at relatively high light intensities, it is likely that processes such as photorespiration contributed to these high ETR-to-O2 ratios. Photorespiration increases in conditions of low Ci availability, where plants fix O2 rather than CO2 (Black ; Buapet ). It is well known that the usually linear relationship between ETR and O2 evolution can deteriorate at high light intensities, at which photorespiration or other processes that can act as sinks for electrons increase (Beer ; Carr and Bjork, 2003; Silva and Santos 2004). Photorespiration may also have contributed to the treatment differences that we observed between ETR-to-O2 ratios for L[CO2] and H[CO2] plants. Importantly, the finding that L[CO2] plants transported more electrons per mole of O2 evolved than H[CO2] plants could indicate greater photorespiration where plants were CO2 limited. In such circumstances, photorespiration is likely to have acted as a greater sink for electrons measured using fluorescence in L[CO2] plants. Thus, O2 evolution measurements may provide a better estimate of changing photosynthetic efficiency than ETR at higher irradiances, because photorespiration in CO2-limited individuals remains undetected by fluorescence measurements. However, photorespiration is generally low in seagrasses with effective carbon concentrating mechanisms that maintain high concentrations of CO2 around rubisco (Beer, 1989; Touchette and Burkholder, 2000). It is also possible that greater ETR-to-O2 ratios at low CO2 might be consistent with a greater proportion of electron flow supporting Ci-uptake mechanisms. However, this may be of greater consequence at lower irradiances, where plants are forced to partition limited energetic resources between photosynthesis and CO2 acquisition. Despite greater photosynthesis and growth at forecasted CO2 concentrations, there was limited evidence to suggest any down-regulation of HCO3−-uptake mechanisms in A. antarctica grown at H[CO2], because when seagrasses were switched to L[CO2] to measure photosynthesis, there was no effect of CO2 growth conditions. This suggests that, on transition to a different CO2 concentration, the photosynthetic rate was determined by changing dissolved CO2, rather than by different affinities for HCO3− acquired during the 3 month growth period. If H[CO2]-grown plants were no longer able to acquire CO2 from HCO3−, much lower O2 production would have been expected when they were switched back to L[CO2]. Shorter-term studies have likewise found that the relative level of HCO3− uptake by seagrass is often maintained across pH gradients (James and Larkum, 1996; Campbell and Fourqurean, 2013b). Thus, it appears that changes in growth and photosynthesis may have occurred based primarily on greater passive uptake of CO2, not on down-regulation of HCO3−-uptake mechanisms. Alternatively, down-regulation may have been masked if plants rapidly modified HCO3−-acquisition rates during the brief reciprocal CO2 transitions, although this appears unlikely. While rapid re-establishment (2–5 min) of HCO3− acquisition can occur following dark-to-light transitions (Carr and Axelsson, 2008), the time for activation and deactivation for HCO3− mechanisms with CO2 transitions would appear to be much greater. Studies of lower order producers (i.e. cyanobacteria and eukaryotic algae) and freshwater angiosperms show hours to days for full re-activation and down-regulation following CO2 transitions (Spalding and Ogren, 1982; Falk and Palmqvist, 1992; Matsuda and Colman, 1995; Maberly and Madsen, 2002). The greater increase in below-ground biomass at H[CO2] suggests that A. antarctica may preferentially allocate resources to roots and rhizomes for growth and energy storage. These findings are consistent with studies of natural and in situ CO2 enrichment that indicate disproportionate accumulation of below-ground biomass in other seagrasses, relative to above-ground tissue (Hall-Spencer ; Russell ; Campbell and Fourqurean, 2013a). However, the significant correlation between below-ground biomass and the three above-ground growth parameters could suggest that the former simply responds more rapidly to CO2 enrichment, and this could later translate to changes in above-ground parameters. This translation to greater above-ground biomass would appear possible given that seagrass at H[CO2] also showed a greater increase in leaf number; nonetheless, with potentially greater carbon fixation per leaf area at enriched CO2 levels, there may be limited need for large increases in above-ground biomass. The increase in below-ground biomass could offer seagrasses greater resistance to environmental perturbations in an era when anthropogenic influences have been reported to be almost exclusively negative (Orth ). Greater below-ground energetic resources could sustain juveniles during periods of physiological stress, including reduced light availability (Burke ; Mackey ; Ooi ), high temperature (Walker and Cambridge, 1995; Niu ; Koch ) and grazing pressure (Hughes ). Preferential allocation to below-ground resources that are protected from herbivores might be particularly beneficial given that enriched CO2 conditions can result in seagrass that is more palatable to grazers owing to a reduction of phenolic deterrents (Arnold ). Likewise, faster establishment of below-ground structures could lower the vulnerability of seagrass to physical disturbances, such as wave action and bio-turbation/erosion (Townsend and Fonseca, 1998; Bastyan and Cambridge, 2008). An increase in recruitment success resulting from reproduction could be particularly beneficial, given that most seagrasses are heavily reliant on clonal growth for meadow expansion, with low rates of seed or seedling survival and natural recolonization (Kirkman and Kuo, 1990; Irving, 2013). Any prolonged increase in seagrass growth, however, will require other favourable conditions, such as adequate light, nutrients and facilitative interactions with other biota (i.e. grazer activity and epiphyte abundance), all of which are known to limit seagrass biomass where CO2 is enriched (O. W. Burnell, unpublished data; Palacios and Zimmerman, 2007; Alexandre, ; Burnell ). As historically high CO2 levels potentially aided the initial transition of angiosperms into the aquatic realm (Beer and Koch, 1996; Beardall, ), forecasted increases in CO2 could return such benefits, by increasing the availability of dissolved CO2. We found that A. antarctica has a contemporary reliance on HCO3−-uptake mechanisms, as well as greater photosynthesis and growth with prolonged acclimation to forecasted CO2 conditions. Importantly, any lasting increase in productivity and growth could enhance the host of ecosystem benefits provided by seagrass meadows.

Supplementary material

Supplementary material is available at .

Funding

S.D.C. and B.D.R. were funded by an ARC grant and S.D.C. by an ARC Future Fellowship.
  19 in total

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