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Article

High Light Intensity and CO2 Enrichment Synergistically Mitigated the Stress Caused by Low Salinity in Pyropia yezoensis

1
Jiangsu Key Laboratory of Marine Bioresources and Environment, Jiangsu Ocean University, Lianyungang 222005, China
2
Co-Innovation Center of Jiangsu Marine Bio-Industry Technology, Jiangsu Ocean University, Lianyungang 222005, China
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2023, 11(11), 2193; https://doi.org/10.3390/jmse11112193
Submission received: 19 October 2023 / Revised: 11 November 2023 / Accepted: 12 November 2023 / Published: 17 November 2023
(This article belongs to the Section Marine Ecology)

Abstract

:
Macroalgae, playing a crucial role in coastal marine ecosystems, are subject to multiple environmental challenges due to tidal and seasonal alterations. In this work, we investigated the physiological responses of Pyropia yezoensis to ocean acidification (ambient CO2 (AC: 400 μatm) and elevated CO2 (HC: 1000 μatm)) under changing salinity (20, 30 psu) and light intensities (50, 100 μmol photons m−2 s−1) by measuring the growth, pigment content, chlorophyll fluorescence, and soluble sugar content. The key results are the following: (1) P. yezoensis exhibited better growth under normal salinity (30 psu) compared to hyposaline conditions (20 psu). (2) Intermediate light intensity increased phycoerythrin content, ultimately enhancing thalli growth without significant changes to the contents of chlorophyll a and carotenoids. (3) Ocean acidification alleviated hyposaline stress by enhancing pigment production in P. yezoensis only at a salinity of 20 psu, highlighting the complex interplay of these environmental factors. These findings indicate that higher light intensities and elevated pCO2 levels could mitigate the stress caused by low salinity.

1. Introduction

Marine macroalgae have been recognized as a crucial group of organisms for sustaining coastal ecosystems [1]. Although macroalgae cover only a minute part of the oceans, they contribute 5–10% of the total oceanic primary productivity [1,2]. In addition to their pivotal role in carbon fixation and sequestration [3], macroalgae also serve as a source of food, medicine, and biofuel for humankind [4,5]. Pyropia yezoensis, previously known as Porphyra yezoensis [6], is a red alga belonging to Rhodophyta. In particular, P. yezoensis inhabits the rocky intertidal zone, where environmental conditions such as light intensity, CO2 concentration, nutrients, and salinity are highly variable due to tidal changes and terrestrial runoffs. Given its considerable economic and ecological value [7], P. yezoensis has been extensively cultivated in shallow areas of China, Korea, and Japan [8]. Recently, much more attention has been given to the growth and photosynthesis of P. yezoensis because of its close relationship with crop yield [9,10].
Due to fossil fuel burning and other anthropogenic activities, atmospheric CO2 concentrations have been continuously rising since the industrial revolution and exceed 410 ppm in the present day [11]. The absorption of anthropogenic CO2 by the oceans has led to a decrease in seawater pH and substantial variations in other seawater carbonate chemistries, a process known as ocean acidification (OA) [12]. It is expected that the mean pH of the global surface ocean will further decrease by 0.3–0.4 units by the end of the century based on Representative Concentration Pathway (RCP) 8.5 [12,13]. The effect of OA in coastal waters is more serious than that in pelagic systems due to the reduced buffering ability associated with an additional decline in pH [14]. Ocean acidification could directly and indirectly influence the physiology, life cycles, and community structures of macroalgae [15,16]. Previous studies have shown that ocean acidification has a negative effect on fleshy and calcareous seaweeds, which could reduce the calcification rate of calcifying organisms due to a declined CO32− concentration and thus threaten their survival [17]. The decrease in relative growth rates has also been observed in Saccharina japonica and Grateloupia filicina when the pCO2 levels exceed 700 μatm [18]. However, elevated pCO2 has positive effects on the photosynthesis or growth of marine red macroalgae (Gracilaria sp., G. chilensis, and G. lemaneiformis) [19,20].
It is well-known that light is one of the major prerequisites for the photosynthesis of macroalgae. Light drives photosynthesis to produce carbohydrates to support metabolism and growth [21]. At low light levels, photosynthesis and growth are positively related to light intensity, but above saturating light intensity, photoinhibition in algae occurs [22]. Excess photon energy absorbed by pigments compels algae to produce large amounts of reactive oxygen species (ROS), which causes photodamage to the algae and ultimately inhibits growth [23,24]. Furthermore, light can also regulate the effects of ocean acidification. Elevated pCO2 promotes the growth rate of P. yezoensis under light-limiting conditions due to the reallocated energy saved by the down-regulation of CO2-concentrating mechanisms (CCMs), whereas it exacerbates the inhibition of photosynthesis in P. yezoensis at a high light intensity [25,26]. Salinity variation, as a local environmental factor, tends to exhibit strong fluctuations ranging from 17 to 40 psu due to runoff, precipitation, and evaporation [27,28]. Salinity can alter the osmotic pressure within algal cells and affect ionic switches in membranes [29]. Hence, macroalgae need to reallocate the available energy to the osmotic regulation process to survive under fluctuating salinity conditions, which results in a strong inhibition of the growth of most macroalgae [28]. It has been reported that the growth, photosynthesis, and antioxidant activity of macroalgae decreased under salinity-induced stress [29,30]. Compared to high salinity levels, low salinities induce more serious oxidative damage, which negatively affects intertidal macroalgal growth, such as Gracilaria, Ulva, and Pyropia [29,31,32].
To our knowledge, most of the previous studies focused on a single or two environmental factors, while little is known about the interactive effects of salinity, light intensity, and CO2 concentrations on P. yezoensis. The ocean is a complex ecosystem where environmental factors change concurrently. P. yezoensis, as a macroalgae living in the intertidal zone, is bound to be affected by these environmental changes. In this study, P. yezoensis alga were selected to investigate their physiological responses to the combined effects of OA with two salinity and light intensity levels. This study could provide helpful insights into how P. yezoensis will respond to climate changes in the future.

2. Materials and Methods

2.1. Collection and Culture Conditions

Pyropia yezoensis was collected from the Gaogong islands, Lianyungang, China (34°54′31″ N; 119°31′57″ E). The thalli of P. yezoensis (4–5 cm in length) was brought back to the laboratory in a cooling box within 2 h and cleaned using sterile seawater to remove sediments and impurities. Healthy thalli were selected and pre-cultured for about 1 week in 1000 mL bottles containing filtered natural seawater with Provasoli enriched seawater medium (PES) [33], were aerated continuously, and the seawater medium was changed every day. The thalli were cultured under 100 μmol photons m−2 s−1 of photosynthetically-active radiation (PAR) with a 12 h:12 h (light/dark) photoperiod at 10 °C in an intelligent illumination incubator (Jiangnan GXZ-300C, Ningbo, China).

2.2. Experimental Design

After the pre-culture period, algae samples (fresh weight, FW) were selected randomly, and 0.01 g were cultured in 1000 mL bottles containing artificial seawater enriched with PES medium. We considered 20 psu as low salinity (LS) and 30 psu as high salinity (HS) to simulate the cultivation area conditions of P. yezoensis near and far from the estuary in Lianyungang. Different salinity treatments were prepared by diluting artificial seawater with distilled water. Considering the relatively high turbidity of the coastal seawater aquaculture area, two light intensity levels of 50 μmol photons m−2 s−1 (low irradiance, LI) and 100 μmol photons m−2 s−1 (intermediate irradiance, II) were set in this study. Two CO2 concentrations of 400 μatm (ambient CO2, AC) and 1000 μatm (elevated CO2, HC) were also set for pCO2 treatments. The ambient CO2 and elevated CO2 were continuously provided by pumping outdoor air and generated with a CO2 plant incubator (HP 1000 GD, Wuhan Ruihua Instrument and Equipment Ltd., Wuhan, China), respectively. All treatments were performed in three replicates for 10 days, and were renewed every 2 days with fresh PES medium. The other culture conditions were the same as the pre-acclimation conditions. All parameters (chlorophyll fluorescence and pigment contents) were measured at the end of the culture period for each treatment.

2.3. Carbonate Chemistry System

To determine the stability of the carbonate system in cultures, pH was measured using a pH meter (FE22-Meter/FE22-Standard, Mettler Toledo, Shanghai, China), which was three-point calibrated with a standard National Bureau of Standards (NBS) buffer. The total alkalinity (TA) was measured using acidimetric titration [34]. Other parameters of the carbonate system were calculated from pH and TA data with CO2SYS software [35]. All of the carbonate chemistry parameters are shown in Table 1.

2.4. Measurement of Growth Rate

The fresh weight (FW) was measured every two days at the same time after blotting the thalli with paper towels. At the eighth day, the excess biomass was dissected out to maintain the same biomass of each group at 0.04 g. Finally, the relative growth rate (RGR) was calculated using the following equation:
RGR   ( % d 1 ) = l n W 10 l n W 8 2 × 100 ,
where W10 and W8 represent the fresh weights measured at the 10th and 8th day, respectively.

2.5. Measurement of Chlorophyll Fluorescence

The chlorophyll fluorescence parameters of P. yezoensis were measured using an AquaPenin-C Chlorophyll Fluorometer (AP-C100, Photon Systems Instruments, Berlin, Germany). The saturation pulse was set at 5000 µmol photons m−2 s−1 and lasted for 600 ms. Prior to measurement, the thalli samples were initially cut into small segments and subsequently cultured under experimental conditions for at least one hour of light repair. The rapid light curve (RLC) was measured under 8 different actinic light intensities (0, 10, 20, 50, 100, 300, 500, and 1000 μmol photons m−2 s−1). The relative electron transport rate (rETR) was calculated as follows [36]:
rETR   ( μ mol   e 1   m 2   s 1 ) = yield × 0.5 × P A R ,
where yield is the effective photochemical quantum yield at each actinic light intensity; 0.5 is the theoretical ratio of the absorbed total incident light allocated to PSII; and PAR is the actinic light intensity (μmol photons m−2 s−1). The rapid light curves of rETR were fitted with the formula as follows [37]:
rETR = I / ( a I 2 + b I + c ) ,
where I is light intensity (μmol photons m−2 s−1); and a, b, and c are constant parameters. The initial slope (α), the maximum relative electron transport rate (rETRmax), and the saturating light intensity (Ik) were calculated according to the following equations [38]:
α = 1 / c ;
rETR max = 1 / ( b + 2 a · c ) ;
I k = c / ( b + 2 a · c ) .

2.6. Measurement of Pigment Contents

Chlorophyll a and carotenoids were extracted and estimated based on the method developed by Wellburn [39]. Briefly, approximately 0.02 g FW of thalli were extracted with 5 mL methanol (100%) solution at 4 °C for 24 h in darkness. After the centrifugation at 5000× g for 5 min, the supernatant was measured using an ultraviolet spectrophotometer (UV-1800, Shimadzu, Japan) at 666, 653, and 470 nm. The contents of chlorophyll a (Chl a, mg g FW−1) and carotenoids (Car., mg g FW−1) were calculated using the following equation:
C h l   a = 16.29 × O D 666 8.54 × O D 653 ;
C a r = ( 1000 × O D 470 + 1403.57 × O D 666 3473.87 × O D 653 ) ÷ 221 .
The phycoerythrin of P. yezoensis samples was extracted using a method based on Beer and Eshel [40]. Approximately 0.02 g fresh weight of P. yezoensis was homogenated and extracted with 0.1 M phosphate buffer (pH 6.8), and then centrifuged at 5000× g for 15 min. The supernatants of the extracts were scanned at 593, 564, and 455 nm to determine the phycoerythrin content (PE, mg g FW−1) according to the following equation:
P E = [ ( O D 564 O D 592 ) ( O D 455 O D 592 ) ] × 0.12 .

2.7. Measurement of Soluble Carbohydrates Content

The anthrone sulfuric acid colorimetric method was used to determine the concentration of soluble carbohydrates [41]. Approximately 0.02 g of fresh thalli of P. yezoensis were homogenized in 5 mL phosphate buffer and boiled for 1 h. After centrifugation at 5000× g for 10 min, 1 mL supernatant was added to 3 mL 0.2% anthrone sulfuric acid solution (2 g L−1). The mixture was heated at 100 °C for 10 min, and the absorbance was recorded at 620 nm after cooling to room temperature. The content of soluble carbohydrates (SC, mg g FW−1) was calculated using the equation described below:
C a r b o h y d r a t e = ( O D 620 0.0072 ) / 0.039 .  

2.8. Data Analysis

Data were analyzed using the Origin 2017 and SPSS 25.0 software programs and expressed as the means ± standard deviation of three independent replicates. Three-way ANOVA was used to analyze the interactive effects of light intensity, salinity, and CO2 concentrations on the relative growth rate, chlorophyll fluorescence, photosynthetic pigments, and soluble carbohydrate contents. Tukey’s honest significant difference (Fisher LSD) was used for post hoc investigation. The significance level was set to 0.05.

3. Results

3.1. Growth Rate

The relative growth rate (RGR) of P. yezoensis was significantly influenced by light intensity (p < 0.001) and salinity (p = 0.006) (Table S1). Compared to the LI conditions (50 μmol photons m−2 s−1), II treatments increased the RGR of thalli significantly regardless of salinities and CO2 concentrations. As shown in Figure 1, in the ACLS, ACHS, HCLS, and HCHS treatments, RGR was significantly enhanced by 72.7%, 75.5%, 64.1%, and 49.7% under II conditions compared with those under LI, respectively (p < 0.001, p < 0.001, p < 0.001, p < 0.001). Furthermore, under AC and HC conditions, a declined tendency in RGR was observed with the decreased salinity level (30 psu) regardless of light intensities (Figure 1, p = 0.006). However, no significant effect of elevated pCO2 or its interaction effect with light intensity and salinity levels was observed (Table S1; p = 0.648, p = 0.593, p = 0.633).

3.2. Chlorophyll a Fluorescence

The effects of CO2 concentrations and light intensity on the rapid light curves (RLCs) of P. yezoensis at 20 and 30 psu are shown in Figure 2. The maximum relative electron transfer rate (rETRmax), light energy utilization efficiency (α), and saturated light intensity (Ik) of P. yezoensis were derived from the RLCs (Table 2 and Figure 2).
pCO2, light, and salinity had significant effects on the rETRmax (Table S2; p = 0.027, p < 0.001, p < 0.001, respectively). At 20 psu salinity, II treatment significantly decreased the rETRmax by 14.9% (p = 0.016) and 17.4% (p = 0.031) under AC and HC compared to those under the LI condition. At 30 psu salinity, rETRmax in the II treatment was significantly decreased by 10.9% (p = 0.016) and 10.8% (p = 0.031) under AC and HC compared to those under the LI condition, respectively. Moreover, low salinity (20 psu) decreased the rETRmax by 16.3%, 20.0%, and 17.1% in the ACLI, ACII, and HCII groups, respectively (p = 0.003, p = 0.001, p = 0.008).
Light, salinity, and the interaction between pCO2 and salinity had significant effects on Ik (Table S2; p < 0.001, p = 0.032, p = 0.006, respectively). Elevated pCO2 increased the Ik significantly under the LI condition at salinities of 20 psu and 30 psu (p = 0.023, p = 0.020, respectively). Although the intermediate irradiance decreased the Ik at each treatment, a significant difference was observed in both the HCLS and ACHS conditions, with a decline of 31.6% (p = 0.001) and 19.34% (p = 0.014), respectively. Furthermore, Ik was lower at a salinity of 20 psu than 30 psu under LI and elevated pCO2 conditions (p = 0.003).
Only the interaction between pCO2 and salinity had significant effects on α (Table S2, p = 0.033). As shown in Table 2, α under HC was significantly inhibited by 21.1% (p = 0.020) at hyposaline and LI conditions compared to that under LC. Additionally, lower salinity significantly decreased the α under the HCLI condition (p = 0.017).

3.3. Pigment Contents

pCO2 and the interaction with salinity had significant effects on the Chlorophyll a (Chl a) content in P. yezoensis (Table S3, p = 0.035, p = 0.022). Under the hyposaline condition, HC significantly increased the Chl a by 32.0% and 32.3% in the LI and II treatment groups, respectively (Figure 3, p = 0.028, p = 0.028). However, Chl a was not significantly changed by elevated pCO2 at normal salinity regardless of light intensity (30 psu) (p = 0.462, p = 0.310), indicating that increasing salinity offset the boost of Chl a content. Carotenoids content showed a similar trend to Chl a, which was only significantly affected by the interaction of pCO2 and salinity (Figure 4, p = 0.016).

3.4. Phycoerythrin Contents

Light intensity, salinity, and pCO2 had no interactive effect, but the light had a significant effect on the phycoerythrin (PE) content of P. yezoensis (Table S3, p < 0.001). An increasing tendency was observed under the HC and AC conditions with increasing light intensity regardless of salinity (Figure 5). Under AC, the PE content in the II treatment was significantly enhanced by 50.7% and 56.1% compared to those under the LI condition (p = 0.006, p = 0.006). Under HC, the PE content in the II treatment was significantly enhanced by 69.2% and 32.4% compared to those under the LI condition (p = 0.002, p = 0.043). The PE content of P. yezoensis showed a declining trend with the increase of CO2 concentrations at the hyposaline condition, while the PE content showed the opposite trend at a salinity of 30 psu (Figure 5).

3.5. Soluble Sugar Content

Light intensity, salinity, and CO2 concentrations had no individual effect on the soluble sugar content (Table S4; p = 0.583, p = 0.600, p = 0.579), and the interaction between them was also not observed. Under the AC treatment, the content of soluble sugar under the hyposaline condition (20 psu) was decreased by 23.8% compared to that at normal salinity (30 psu), but there was no statistically significant difference (Figure 6, p = 0.065).

4. Discussions

Pyropia yezoensis is one of the most economically important seaweeds cultured in the intertidal zone and endures in a dramatically changing environment [42]. Therefore, P. yezoensis is often selected as a model macroalgae to study the impact of the environment on intertidal macroalgae. This study is the first attempt to investigate the combined influences of light, ocean acidification, and salinity stress on the physiology of P. yezoensis. In the present study, we found that P. yezoensis grew better under normal salinity (30 psu) than under the hyposaline condition (20 psu). In addition, intermediate irradiance increased the phycoerythrin content of thalli, ultimately enhancing the relative growth rate, which alleviated the stress caused by the low salinity in P. yezoensis.
Given that the intertidal zones where Pyropia species inhabit suffer terrestrial runoffs, the Pyropia species evolved a strong plasticity to the salinity fluctuations, which was verified by Li et al. by setting four salinity gradients [5]. Li et al. reported that there was a minor effect of salinity changes (17, 25, 32, 39 psu) on Fv/Fm in P. yezoensis. In addition, the Fv/Fm of P. katadae var. hemiphylla was also not significantly affected among the salinity fluctuations during 10 days of culture (15.6–50.6 psu) [43]. However, the rETRmax (electron transport rate), indicating the photosynthetic activity of PSII, was inhibited under hyposaline condition at each treatment in the present study (Table 2). Algal cells would adjust the turgor pressure to adapt to the hyposaline stress, resulting in the leakage of ions and electrolytes and changes in pH [44,45]. These changes can trigger a cascade of physiological processes and the accumulation of reactive oxygen species (ROS) [28,45]. Thus, P. yezoensis reallocate the energy to cope with the hyposaline stress, which leads to a decline in the biosynthesis of pigments under the AC condition (Figure 3 and Figure 4). Although the low salinity decreased the growth of thalli, the difference was not statistically significant, suggesting that P. yezoensis exhibits a strong tolerance to salinity changes.
The effects of ocean acidification depend on the balance between the positive impact of increased CO2 levels and the negative impact of reduced pH [22,46]. Moreover, the OA effect would also be influenced by other environmental stressors. It has been well documented that ocean acidification has different effects on the growth and photosynthesis of P. yezoensis and other macroalgae under different conditions [25,26,47,48]. In Bao et al.’s study, elevated pCO2 significantly increased the growth of P. yezoensis under low light outdoors [25], and a similarly positive phenomenon was also observed at low light levels using cool white LEDs by Chen et al. [26]. Most macroalgae possess active CO2-concentrating mechanisms (CCMs) to fulfill the demand for efficient photosynthesis [49]. At elevated pCO2 levels, the energy saved by the down-regulation of CCM is reallocated for growth or other metabolic processes under light-limiting conditions [50]. In this work, elevated pCO2 increased the contents of Chl a and Car. under hyposaline conditions but had no obvious effects at a salinity of 30 psu (Figure 3 and Figure 4), indicating that ocean acidification could alleviate the hyposaline stress. Due to the enhancement of pigments, the growth of P. yezoensis was not significantly changed by elevated pCO2 (Figure 1), which was described as a ‘pigment economy’ [51]. Low salinity generally reduces the rETRmax of P. yezoensis, resulting in limited energy utilized by thalli. Elevated pCO2 increased the Chl a and Car contents in P. yezoensis to absorb light energy, but reduced the other pigments of the PE content due to different energy re-allocation strategies.
As a critical environmental factor, light could affect photosynthesis, pigment synthesis, substance accumulation, and the growth of macroalgae [10,52,53]. Phycoerythrin, as one of the light-harvesting proteins in red algae, absorbs light energy and transfers it efficiently to the reaction centers containing chlorophyll a [54]. In the present study, higher light intensity led to an increase in the PE content of P. yezoensis, thereby enhancing the energy absorption and ultimately promoting thalli growth, despite no significant changes observed in the contents of Chl a and Car. due to intermediate light intensity (Figure 1, Figure 3 and Figure 4). Furthermore, the negative effect of low salinity on the growth of thalli under 100 µmol photons m−2 s−1 was lower than that of 50 µmol photons m−2 s−1, indicating that P. yezoensis shows a higher tolerance to hyposaline condition with increasing light intensity (Figure 1). Although the soluble sugar content (mg g−1 FW) does not change significantly (Figure 6), the soluble sugar production rate will be significantly affected because of the thalli growth is influenced by the light intensity (soluble sugar production rate = soluble sugar × relative growth rate).
In general, our findings demonstrate that P. yezoensis grew better at normal salinity than in hyposaline conditions. Additionally, intermediate light intensity increased phycoerythrin content, ultimately enhancing thalli growth, which mitigated hyposaline stress. Moreover, ocean acidification also alleviated hyposaline stress by promoting the pigment production of P. yezoensis. The study unveiled the complex interplay of these environmental factors and their impact on P. yezoensis. Future research could explore deeper into the molecular mechanisms governing these physiological responses, offering insights into the sustainable cultivation and conservation of this economically significant seaweed amidst environmental fluctuations.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jmse11112193/s1, Table S1: Three-way analysis of variance (ANOVA) results in Pyropia yezoensis on the relative growth rate at different pCO2 concentrations, light intensities, and salinity levels. df: degree of freedom; F: the value of F statistic; and Sig.: p value. Table S2: Three-way analysis of variance (ANOVA) results in Pyropia yezoensis on the chlorophyll fluorescence parameters at different pCO2 concentrations, light intensities, and salinity levels. df: degree of freedom; F: the value of F statistic; and Sig.: p value. Table S3: Three-way analysis of variance (ANOVA) results in Pyropia yezoensis on the pigments at different pCO2 concentrations, light intensities, and salinity levels. df: degree of freedom; F: the value of F statistic; and Sig.: p value. Table S4: Three-way analysis of variance (ANOVA) results in Pyropia yezoensis on soluble sugar at different pCO2 concentrations, light intensities, and salinity levels. df: degree of freedom; F: the value of F statistic; and Sig.: p value.

Author Contributions

Conceptualization, H.W. and H.L.; investigation, C.W., J.C., J.Z. and Z.L.; data curation, C.W., Z.L., F.C. and J.Z.; formal analysis, C.W. and J.C.; visualization, C.W. and H.L.; writing—original draft preparation, C.W. and J.X.; writing—review and editing, H.W., H.L. and J.X.; project administration, H.W.; funding acquisition, H.W. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the Natural Science Foundation of Jiangsu Province (grant number BK20221398), the National Natural Science Foundation of China (grant number 41706141), the “333” project of Jiangsu Province, the Jiang-su Planned Projects for Postdoctoral Research Funds (grant number 2018K025A), the “521 project” of Lianyungang city (grant number LYG06521202169), the “Haiyan project” of Lianyungang city (grant number 2018-ZD-005), the Open project of Jiangsu Institute of Marine Resources Development (grant number JSIMR202010), the “Huaguoshan project” of Lianyungang City, and the Lianyungang Planned Projects for Postdoctoral Research Funds.

Data Availability Statement

The data are available upon request to the corresponding author (Hailong Wu).

Conflicts of Interest

No potential financial or other interests could be perceived to influence the outcomes of the research. No conflicts, informed consent, human or animal rights applicable exist in the submission of this manuscript.

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Figure 1. Changes in relative growth rate (RGR) of Pyropia yezoensis exposed to different salinities (20 and 30 psu) at different light intensities (50, 100 μmol photons m−2 s−1) treated with AC and HC conditions (AC, 400 μatm CO2; HC, 1000 μatm CO2). Results are expressed as the means ± SD (n = 3). Different letters indicate significant differences (p < 0.05) among the treatments.
Figure 1. Changes in relative growth rate (RGR) of Pyropia yezoensis exposed to different salinities (20 and 30 psu) at different light intensities (50, 100 μmol photons m−2 s−1) treated with AC and HC conditions (AC, 400 μatm CO2; HC, 1000 μatm CO2). Results are expressed as the means ± SD (n = 3). Different letters indicate significant differences (p < 0.05) among the treatments.
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Figure 2. Rapid light curves (RLCs) of photosystem II (PSII) of Pyropia yezoensis exposed to different salinities (20 and 30 psu) at different light intensities (50, 100 μmol photons m−2 s−1) treated under AC and HC conditions (AC, 400 μatm CO2; HC, 1000 μatm CO2) during the experiment. Data are the means ± SD (n = 3).
Figure 2. Rapid light curves (RLCs) of photosystem II (PSII) of Pyropia yezoensis exposed to different salinities (20 and 30 psu) at different light intensities (50, 100 μmol photons m−2 s−1) treated under AC and HC conditions (AC, 400 μatm CO2; HC, 1000 μatm CO2) during the experiment. Data are the means ± SD (n = 3).
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Figure 3. Changes in chlorophyll a contents of Pyropia yezoensis exposed to different salinities (20 and 30 psu) at different light intensities (50, 100 μmol photons m−2 s−1) treated under AC and HC conditions (AC, 400 μatm CO2; HC, 1000 μatm CO2). Results are expressed as the means ± SD (n = 3). Different letters indicate significant differences (p < 0.05) among the treatments.
Figure 3. Changes in chlorophyll a contents of Pyropia yezoensis exposed to different salinities (20 and 30 psu) at different light intensities (50, 100 μmol photons m−2 s−1) treated under AC and HC conditions (AC, 400 μatm CO2; HC, 1000 μatm CO2). Results are expressed as the means ± SD (n = 3). Different letters indicate significant differences (p < 0.05) among the treatments.
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Figure 4. Changes in carotenoid contents of Pyropia yezoensis exposed to different salinities (20 and 30 psu) at different light intensities (50, 100 μmol photons m−2 s−1) treated under AC and HC conditions (AC, 400 μatm CO2; HC, 1000 μatm CO2). Results are expressed as the means ± SD (n = 3). Different letters indicate significant differences (p < 0.05) among the treatments.
Figure 4. Changes in carotenoid contents of Pyropia yezoensis exposed to different salinities (20 and 30 psu) at different light intensities (50, 100 μmol photons m−2 s−1) treated under AC and HC conditions (AC, 400 μatm CO2; HC, 1000 μatm CO2). Results are expressed as the means ± SD (n = 3). Different letters indicate significant differences (p < 0.05) among the treatments.
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Figure 5. Changes in the phycoerythrin (PE) content of Pyropia yezoensis exposed to different salinities (20 and 30 psu) at different light intensities (50, 100 μmol photons m−2 s−1) treated under AC and HC conditions (AC, 400 μatm CO2; HC, 1000 μatm CO2). Results are expressed as the means ± SD (n = 3). Different letters indicate significant differences (p < 0.05) among the treatments.
Figure 5. Changes in the phycoerythrin (PE) content of Pyropia yezoensis exposed to different salinities (20 and 30 psu) at different light intensities (50, 100 μmol photons m−2 s−1) treated under AC and HC conditions (AC, 400 μatm CO2; HC, 1000 μatm CO2). Results are expressed as the means ± SD (n = 3). Different letters indicate significant differences (p < 0.05) among the treatments.
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Figure 6. Changes in the soluble sugar content of Pyropia yezoensis exposed to different salinities (20 and 30 psu) at different light intensities (50, 100 μmol photons m−2 s−1) treated under AC and HC conditions (AC, 400 μatm CO2; HC, 1000 μatm CO2). Results are expressed as the means ± SD (n = 3). Different letters indicate significant differences (p < 0.05) among the treatments.
Figure 6. Changes in the soluble sugar content of Pyropia yezoensis exposed to different salinities (20 and 30 psu) at different light intensities (50, 100 μmol photons m−2 s−1) treated under AC and HC conditions (AC, 400 μatm CO2; HC, 1000 μatm CO2). Results are expressed as the means ± SD (n = 3). Different letters indicate significant differences (p < 0.05) among the treatments.
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Table 1. Carbonate chemistry parameters in the cultures of Pyropia yezoensis exposed to different salinities (20 and 30 psu) at different light intensities (50, 100 μmol photons m−2 s−1) treated with AC and HC conditions (AC, 400 μatm CO2; HC, 1000 μatm CO2). The values are means ± SD of triplicate cultures. Different superscripted letters indicate significant (p < 0.05) differences among the treatments.
Table 1. Carbonate chemistry parameters in the cultures of Pyropia yezoensis exposed to different salinities (20 and 30 psu) at different light intensities (50, 100 μmol photons m−2 s−1) treated with AC and HC conditions (AC, 400 μatm CO2; HC, 1000 μatm CO2). The values are means ± SD of triplicate cultures. Different superscripted letters indicate significant (p < 0.05) differences among the treatments.
TreatmentpHTA
(μM)
HCO3
(μM)
CO32−
(μM)
CO2
(μM)
DIC
(μM)
LS-50-AC8.08 ± 0.06 a1555.8 ± 92.9 a1355.0 ± 100.1 a80.38 ± 6.31 a11.96 ± 2.21 a1447.4 ± 100.1 a
LS-100-AC8.07 ± 0.01 a1551.6 ± 66.0 a1352.8 ± 60.5 a79.61 ± 3.47 a11.92 ± 0.71 a1444.3 ± 64.0 a
HS-50-AC8.12 ± 0.01 a2034.0 ± 49.0 b1670.1 ± 37.4 b144.99 ± 5.88 b11.56 ± 0.24 a1826.6 ± 42.8 b
HS-100-AC8.11 ± 0.01 a2010.6 ± 150.3 b1659.3 ± 131.0 b139.62 ± 10.36 b11.85 ± 1.08 a1810.8 ± 141.8 b
LS-50-HC7.71 ± 0.01 c1464.8 ± 33.8 a1376.4 ± 32.2 a34.90 ± 0.95 c28.14 ± 0.83 b1439.5 ± 33.7 a
LS-100-HC7.72 ± 0.02 c1426.3 ± 30.2 a1336.8 ± 28.3 a35.16 ± 1.92 c26.37 ± 1.05 b1398.3 ± 29.6 a
HS-50-HC7.82 ± 0.02 d1902.4 ± 9.5 b1713.8 ± 10.0 b74.00 ± 2.41 a23.87 ± 0.93 b1811.7 ± 9.9 b
HS-100-HC7.82 ± 0.01 d1917.9 ± 11.6 b1726.8 ± 10.4 b75.12 ± 1.74 a23.86 ± 0.59 b1825.8 ± 11.0 b
Table 2. The maximum relative electron transfer rate (rETRmax), light energy utilization efficiency (α), and saturated light intensity (Ik) of chlorophyll fluorescence parameters in the cultures of Pyropia yezoensis exposed to different salinities (20 and 30 psu) at different light intensities (50, 100 μmol photons m−2 s−1) treated under AC and HC conditions (AC, 400 μatm CO2; HC, 1000 μatm CO2), derived from the rapid light curves (Figure 2). The values are the means ± SD of triplicate cultures. Different superscripted letters indicate significant (p < 0.05) differences among the treatments.
Table 2. The maximum relative electron transfer rate (rETRmax), light energy utilization efficiency (α), and saturated light intensity (Ik) of chlorophyll fluorescence parameters in the cultures of Pyropia yezoensis exposed to different salinities (20 and 30 psu) at different light intensities (50, 100 μmol photons m−2 s−1) treated under AC and HC conditions (AC, 400 μatm CO2; HC, 1000 μatm CO2), derived from the rapid light curves (Figure 2). The values are the means ± SD of triplicate cultures. Different superscripted letters indicate significant (p < 0.05) differences among the treatments.
TreatmentrETRmaxαIk
LS-50-AC71.17 ± 3.82 ab0.16 ± 0.02 a458.0 ± 24.4 be
LS-100-AC60.57 ± 6.11 d0.15 ± 0.01 a400.0 ± 16.7 ce
HS-50-AC85.02 ± 8.34 a0.14 ± 0.01 ac605.8 ± 94.5 a
HS-100-AC75.75 ± 1.59 bc0.16 ± 0.01 a488.1 ± 13.9 bcf
LS-50-HC69.42 ± 3.22 bc0.12 ± 0.01 bc564.6 ± 29.1 af
LS-100-HC57.31 ± 2.88 d0.15 ± 0.02 a386.1 ± 83.8 de
HS-50-HC77.50 ± 2.71 ac0.16 ± 0.02 a495.7 ± 35.3 b
HS-100-HC69.11 ± 5.93 b0.17 ± 0.02 a418.5 ± 50.7 be
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Wu, H.; Wang, C.; Li, H.; Chen, J.; Zhang, J.; Luo, Z.; Cheng, F.; Xu, J. High Light Intensity and CO2 Enrichment Synergistically Mitigated the Stress Caused by Low Salinity in Pyropia yezoensis. J. Mar. Sci. Eng. 2023, 11, 2193. https://doi.org/10.3390/jmse11112193

AMA Style

Wu H, Wang C, Li H, Chen J, Zhang J, Luo Z, Cheng F, Xu J. High Light Intensity and CO2 Enrichment Synergistically Mitigated the Stress Caused by Low Salinity in Pyropia yezoensis. Journal of Marine Science and Engineering. 2023; 11(11):2193. https://doi.org/10.3390/jmse11112193

Chicago/Turabian Style

Wu, Hailong, Chuchu Wang, He Li, Jiang Chen, Jiankai Zhang, Zixue Luo, Fangsheng Cheng, and Juntian Xu. 2023. "High Light Intensity and CO2 Enrichment Synergistically Mitigated the Stress Caused by Low Salinity in Pyropia yezoensis" Journal of Marine Science and Engineering 11, no. 11: 2193. https://doi.org/10.3390/jmse11112193

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