Abstract
Introduction:
Ocean acidification (OA), resulting from the absorption of increasing atmospheric CO2 by the oceans, represents a major threat to marine organisms. Despite growing concern, the biochemical responses of Antarctic species to OA remain poorly understood.
Methods:
This study investigated the impact of OA (pH 7.70 ± 0.09) on the fatty acid (FA) composition of the Antarctic snail Neobuccinum eatoni over a two-month experimental period (December 2015–March 2016). Fatty acid profiles were analyzed in multiple tissues to assess potential alterations induced by low-pH (LpH) conditions.
Results:
Significant tissue-specific changes in FA composition were detected, particularly in the mantle and gill. Under LpH exposure, notable modifications occurred in long-chain polyunsaturated fatty acids (LC-PUFAs) such as 22:5n-3, 22:6n-3, and 24:5n-6. Elevated LC-PUFA levels in the mantle suggested a compensatory response to oxidative stress, while shifts in the n-3/n-6 ratios in the gill pointed to potential alterations in immune and anti-inflammatory functions.
Discussion:
Indicators of homeoviscous adaptation (HVA), including PUFA/SFA ratios and mean chain length (MCL), revealed biochemical strategies used by N. eatoni to maintain membrane fluidity under acidified conditions. This study provides the first evidence of FA-based responses to elevated pCO₂ in an Antarctic gastropod, highlighting the potential of fatty acids as sensitive biomarkers of physiological adaptation to environmental stressors.
1 Introduction
The Anthropocene, which began with the Industrial Revolution in the 18th century, is characterized by significant human impact on a global scale, marked by an unprecedented and rapid increase in atmospheric CO2 levels (). Oceanic uptake of excess CO2 helps mitigate anthropogenic emissions at the expense of inducing ocean acidification (OA). This process alters the physicochemical properties of seawater, profoundly affecting marine organisms and ecosystem functions (). Key marine species are already experiencing significant impacts, threatening biodiversity and essential ecosystem services (; ; Teixidó et al., 2024).
The severity of OA impacts is expected to vary across regions, with high-latitude areas experiencing more intense effects at finer spatial scales. The Southern Ocean (SO) plays a disproportionately large role in global carbon uptake, accounting for 30–40% of anthropogenic CO2 absorption (). This, combined with naturally low calcium carbonate (CaCO3) levels and the increased solubility of CO2 in cold waters (), contributes to its already low buffering capacity, making the SO ecosystem particularly vulnerable to OA. Aragonite saturation is biologically important because it determines the availability of carbonate ions necessary for calcifying organisms to form and maintain their shells and skeletons. For example, pteropods and corals rely on supersaturated aragonite conditions to precipitate calcium carbonate structures, and declines in aragonite saturation due to ocean acidification can lead to shell dissolution and impaired growth (; ). These physiological effects on key species can cascade through the web, ultimately impacting ecosystem structure and function. For instance, projections based on an ensemble of ten Earth system models indicate that aragonite undersaturation events will begin to spread rapidly around 2030, affecting approximately 30% of the SO surface waters by 2060, and more than 70% by 2100 (). Moreover, from 2003 to 2022, CO2 absorption increased by 0.076 gC m−2 per month in the Atlantic region of the SO, largely due to enhanced westerly winds linked to the Antarctic Oscillation (AO) and events related to the El Niño Southern Oscillation (ENSO) (). This means that Antarctic biota are exposed to potentially accelerated and more severe OA conditions than elsewhere.
OA not only impedes biomineralization and leads to shell dissolution in calcifiers, but it also exerts broader impacts on marine biota through cascades of physiological and biochemical mechanisms, often involving energetic trade-offs and complex cellular adjustments (; , ). Under elevated partial pressure of carbon dioxide (pCO2), meeting these physiological and metabolic demands requires significant energy, which forces a reallocation of limited energy budgets away from other vital functions. Thus, beyond direct physiological impacts, reproduction, growth, and development can also be adversely affected (; Turner et al., 2016). To meet this energetic demand, organisms generally rely on lipid reserves and adjust fatty acid (FA) composition (), diverting resources toward processes such as enhanced glycolipid metabolism as observed in Crassostrea gigas under acid stress (Wang et al., 2025). These energetic trade-offs generally manifest as reductions in total lipid content and a shift in key fatty acid ratios (e.g., decreased polyunsaturated fatty acids (PUFAs)/saturated fatty acids (SFA)), providing a sensitive proxy for potential hidden costs of OA (Valles-Regino et al., 2015). The close link between FAs and fundamental physiological processes makes them powerful biomarkers for assessing health and stress responses in marine organisms (; ). FAs are essential components of cellular membranes and key energy sources for metabolism (Arts and Kohler, 2009; ). Within immune and physiological functions, polyunsaturated fatty acids (PUFAs) such as docosahexaenoic acid (DHA, 22:6n-3) and eicosapentaenoic acid (EPA, 20:5n-3) play critical roles in lipid metabolism, reproduction, and anti-inflammatory processes (; ). Although less abundant, arachidonic acid (ARA, 20:4n-6) acts as a precursor of eicosanoids that regulate immune responses and other physiological pathways (Stanley-Samuelson et al., 1988). Ratios such as n-6/n-3 PUFAs provide further insight into stress and inflammation (; Van Anholt et al., 2004).
In addition, homeoviscous adaptation—where organisms adjust membrane fluidity in response to environmental change—is commonly evaluated through PUFA/SFA ratios and mean carbon chain length (MCL) (; ). For instance, temperature-driven shifts in MCL have been documented in the sponge Rhopaloeides odorabile (), while reductions in saturated and monounsaturated fatty acids were observed in Artemia sinica and the gastropod Dicathais orbita under short-term acidifying CO2 conditions (Valles-Regino et al., 2015; ). These findings underscore the sensitivity of FA composition to environmental stress in aquatic organisms and ecosystems (). Gastropods are key components of benthic ecosystems, driving nutrient cycling, grazing, and serving as prey for higher trophic levels (). Their heavily calcified shells make them especially vulnerable to OA, which not only impairs calcification but also inhibits growth and development (). Additionally, if the cost of coping with acidic conditions compromises lipid reserves (particularly essential FAs like EPA and DHA), it may reduce their nutritional value and jeopardize predator health and survival throughout the food web (; Zhukova, 2019). While research on Antarctic gastropods is still limited, studies on other Antarctic mollusks have shown that elevated CO2 levels can impair physiological performance (; ; ). For example, examined the impact of OA on the Antarctic limpet Nacella concinna. During a 15-day controlled laboratory exposure to low pH, sublittoral individuals displayed downregulation of heat-shock protein genes (HSP70A and HSP70B), indicating a stress response to acidified conditions. These results suggest that OA alone can substantially disrupt the physiological functioning of N. concinna, potentially reducing their resilience under future OA scenarios.
This study focuses on Neobuccinum eatoni, an Antarctic gastropod found in shallow coastal areas to over 2000 meters deep. As an endemic species dominating Antarctic benthic ecosystems (; ), N. eatoni represents a relevant model species to assess the impacts of OA. Model projections under elevated CO2 emissions suggest a substantial decline in suitable habitat for N. eatoni, underscoring both its susceptibility to ocean acidification and the need to prioritize research on this species (). This study examines the specific effects of OA on the FA composition of N. eatoni, aiming to determine the effect of OA on the FA composition of the Antarctic snail N. eatoni, by comparing individuals exposed to acidified conditions with those maintained under control conditions. Recognizing the established link between FA profiles and environmental stressors (including temperature, pH, and nutrient availability), the research focuses on key FA indicators associated with immune functions (such as the 22:6n-3/20:4n-6 and n-3/n-6 ratios), and HVA (including MCL and PUFA/SFA ratios). These metrics were analyzed across tissues (mantle, gill, gonads, and foot) with distinct metabolic roles and lipid requirements. Experimental exposures were conducted under current ambient CO2 levels and elevated concentrations projected for 2100 under the high-emission RCP8.5 scenarios (), simulating future ocean conditions.
The central hypothesis posits that N. eatoni exposed to elevated CO2 levels will exhibit significant alterations in FA composition, reflecting changes in immune function and membrane fluidity compared to controls (individuals under current ambient conditions). Using FA profiles, the study addresses this question: could FA composition serve as a potential biomarker of stress in snails exposed to OA? By exploring these questions, the research aims to elucidate the mechanisms by which OA affects marine organisms at the biochemical level, enhancing our understanding of the potential impacts on Antarctic marine life.
2 Materials and methods
2.1 Study area
The experiment was carried out for 66 days in Potter Cove (PC) (62°14′S., 58°40′W; King George/25 de Mayo Island - South Shetlands - Antarctica) during the summer campaign of 2015-2016 (from December to March) (Figure 1). N. eatoni was collected by scuba diving at approximately 15 m depth, and they were immediately placed in seawater containers and transported to the experimental aquarium at the Argentinian research station Carlini. Prior to altering the pCO2, the snails were placed for seven days in an individual acclimation tank [with a continuous flow of seawater, maintained at in situ natural conditions (approximately 8.03)].
Figure 1
2.2 Experimental design
We implemented an experimental CO2-manipulation system following the same experimental design utilized in previous studies on zoo-benthic Antarctic species exposed to OA (; , , ) (Figure 2). Seawater was continuously supplied from the field to two main header tanks (150 L each), designated as the acidified treatment (hereafter referred to as low pH, LpH) and the control. pH levels were continuously monitored using glass electrodes (LL Ecotrodeplus, Metrohm) connected to a pH controller (Consort R3610, Turnhout, Belgium). The LpH tank was gradually acidified by bubbling CO2 gas (99.9% purity) until reaching a target pH of 7.68 ± 0.17, representing ~1000 µatm pCO2, a reduction of approximately 0.3–0.4 pH units relative to the control. The control tank was maintained to reflect the natural pH variability recorded at the snails’ collection depth (15 m). It continuously received unaltered seawater directly supplied from the PC. Individual snails (N = 6; two individuals per tank) were placed in separate subsidiary smaller aquaria (~6 L), each connected to a continuous flow of seawater supplied from either the LpH or control head tank (Figure 2). The experimental sample size (5–6 cm) was carefully selected to minimize potential impacts on the individuals. As these snails are Antarctic organisms and little is known about their population in PC (; personal observation), a precautionary approach was taken by limiting the number of specimens collected. To minimize evaporation and reduce gas exchange with the air, each tank was covered with a methacrylate lid. Electrodes were calibrated daily using Tris buffers of known pH values, following standard procedures (SOP6a of ). Weekly, 50 mL water samples were collected from the head tanks and fixed with HgCl2 for subsequent total alkalinity (TA) analysis. TA was quantified via Gran titration (Smith and Kinsey, 1978) employing a sample exchanger coupled to a TitroLine alpha plus titration system (SI Analytics, Mainz, Germany) equipped with an A157–1 M-DIN-ID pH electrode, and conducted in accordance with standard operating procedure SOP 3a (). Carbonate chemistry parameters were calculated with the CO2SYS spreadsheet (), using dissociation constants for carbonate determined by and refitted by . A summary of the physicochemical parameters of seawater is provided in Table 1. Temperature and salinity were not experimentally manipulated; instead, natural conditions from the cove were maintained throughout the study. Nevertheless, both parameters were continuously monitored during the experimental period to account for natural oscillation and support data interpretation (Table 1).
Figure 2
Table 1
| Treatment | Measured parameters | Calculated parameters | |||||
|---|---|---|---|---|---|---|---|
| TA | pHT | HCO3 | pCO2 | [CO2]aq | Ω Ca | Ω Ar | |
| Low pH | 2747 ± 669 | 7.70 ± 0.09 | 3065.5 ± 975.9 | 975.74 ± 130 | 62.26 ± 8.15 | 1.37 ± 0.59 | 0.85 ± 0.37 |
| Ambient pCO2 | 2849 ± 640 | 8.00 ± 0.16 | 2442.8 ± 484.74 | 473.4 ± 129.36 | 30.06 ± 8.20 | 2.73 ± 1.43 | 1.71 ± 0.89 |
Summary of seawater physicochemical conditions during the experiment with the Antarctic snail Neobuccinum eatoni (
Temperature (1.04 ± 0.26°C), Salinity (32.51 ± 0.67), TA total alkalinity (μmol/kg SW), and pH in total scale [pHT] were measured. The partial pressure of CO2 [pCO2] (μatm), bicarbonate ion concentration [HCO3−] (μmol/kg SW), CO2 concentration in seawater [CO2]aq (μmol/kg SW), ΩCa saturation state of seawater to calcite and ΩAr saturation state of seawater to aragonite were calculated using CO2SYS (Lewis et al., 1998). Data are expressed as mean ± SD. N = 643 for pH and N = 9 for the rest of the variables.
After two months of incubation under experimental conditions, the animals were dissected. Different tissues were selected for the FA analysis based on their functional and metabolic roles. Samples of mantle, gill, gonads, and foot were separated, stored at –80°C, and subsequently transported to Ghent University (Ghent, Belgium) for FA analysis. Results are expressed as both percentages and in μg·mg−¹ dry weight (DW).
2.3 Fatty acid profiling
FA methyl esters (FAME) were prepared via a direct transesterification procedure with 2.5% (v:v) sulfuric acid in methanol as described by
where FAP is the percentage of fatty acid; C number of carbon atoms.
QC/QA procedures included repeated measurements of water chemistry parameters using calibrated instruments, verification of FA identification against reference standards, and cross-validation of statistical outputs. Residuals and diagnostic plots were systematically examined to ensure model assumptions were met, and all analyses were independently reproduced to confirm consistency.
2.4 Data analysis
To verify the consistency of experimental conditions, a t-test was performed on the measured water parameters (pH, CaCO3, total alkalinity (TA), and temperature) to detect any significant differences between control and LpH treatments. FA profiles of different tissues were analyzed using Principal Component Analysis (PCA), while Non-Metric Multidimensional Scaling (nMDS) was conducted separately for each tissue type. The homogeneity of variances was assessed using Bartlett’s test, and homoscedasticity and normality were further evaluated through residual analysis. Differences in FA composition among treatments were tested using an ANOVA (with tanks nested within treatments to account for potential tank effects). Additionally, a t-test was performed to compare the LpH treatment and control groups within each tissue after 66 days of the experimental condition. All statistical analyses were conducted using R version 3.6 for Microsoft Windows (
3 Results
3.1 Experimental conditions
The experimental setup successfully verified the targeted pH conditions (7.70 ± 0.09) despite variability in the incoming natural seawater throughout the experiment. The treatment was consistently maintained at a lower pH (7.70) compared to the control (8.00) (t-test, T = 4.94, p < 0.01) (Table 1). Additionally, the average bicarbonate ion concentration (HCO3−) and aragonite saturation state (ΩAr) differed significantly between the two conditions over the 66-day exposure period (T = -7.95, p < 0.01 and T = 2.60, p = 0.0266, respectively). In contrast (Table 1). Similarly, pCO2 (µatm) was significantly higher in the LpH treatment compared to ambient conditions (mean ± SD: 975.74 ± 61.25 vs. 473.43 ± 40.24; T = -9.45, p < 0.0001), and aqueous CO2 concentration ([CO2]aq, µmol kg−¹) also increased significantly under elevated pCO2 (62.26 ± 7.49 vs. 30.06 ± 3.99; T = -9.65, p < 0.0001). TA did not vary significantly between treatments for either variable (T = -1.53, p > 0.1407).
3.2 Fatty acid composition
A total of 20 FAs were identified in N. eatoni, grouped as saturated (SFA), monounsaturated (MUFA), and polyunsaturated (PUFA) fatty acids (Table 2). PUFA was the predominant group across all tissues (Supplementary Figure S1). FA composition varied among tissues and treatments, with the foot and mantle showing similar ranges, while the gonads exhibited the highest MUFA content (19.43–40.40%).
Table 2
| Tissue | FA | Media (LpH) | Media (C) | T | p-valor |
|---|---|---|---|---|---|
| Foot | 14:0 | 0.11 | 0.10 | 1.09 | 0.3019 |
| Foot | 15:0 | 0.11 | 0.11 | 0.32 | 0.7590 |
| Foot | 16:0 | 2.09 | 1.97 | 0.63 | 0.5460 |
| Foot | 17:0 | 0.28 | 0.24 | 1.46 | 0.1953 |
| Foot | 18:0 | 1.42 | 1.30 | 1.14 | 0.2819 |
| Foot | 16:1 n-7 | 0.08 | 0.06 | 0.98 | 0.3497 |
| Foot | 18:1 n-9 | 0.44 | 0.41 | 0.52 | 0.6119 |
| Foot | 18:1 n-7 | 0.28 | 0.27 | 0.33 | 0.7493 |
| Foot | 20:1 n-11 | 0.77 | 0.75 | 0.15 | 0.8853 |
| Foot | 20:1 n-9 | 0.27 | 0.31 | -1.03 | 0.3276 |
| Foot | 20:1 n-7 | 0.43 | 0.33 | 2.27 | 0.0634 |
| Foot | 18:2 n-6 | 0.15 | 0.13 | 0.59 | 0.5704 |
| Foot | 18: 2 | 0.09 | 0.08 | 1.37 | 0.1996 |
| Foot | 20:2 n-6 | 0.35 | 0.33 | 0.29 | 0.7747 |
| Foot | 20:4n-6 (ARA) | 1.18 | 1.19 | -0.07 | 0.9462 |
| Foot | 20:5n-3 (EPA) | 2.96 | 2.68 | 1.35 | 0.2056 |
| Foot | 22:4n-6 (DHA) | 0.18 | 0.15 | 1.24 | 0.2442 |
| Foot | 22:5 n-3 (DPA) | 0.93 | 0.83 | 1.38 | 0.1981 |
| Foot | 22:6 n-3 | 0.47 | 0.42 | 0.78 | 0.4546 |
| Foot | 24:5 n-6 | 0.12 | 0.11 | 0.51 | 0.6218 |
| Gill | 14:00 | 0.08 | 0.09 | -0.74 | 0.4741 |
| Gill | 15:00 | 0.12 | 0.2 | -2.26 | 0.0474 |
| Gill | 16:00 | 1.53 | 2.71 | -2.68 | 0.0232* |
| Gill | 17:00 | 0.19 | 0.33 | -3.64 | 0.0045* |
| Gill | 18:00 | 0.87 | 1.35 | -2.23 | 0.0496 |
| Gill | 16:1 n-7 | 0.06 | 0.11 | -1.85 | 0.0942 |
| Gill | 18:1 n-9 | 0.28 | 0.33 | -0.68 | 0.5142 |
| Gill | 18:1 n-7 | 0.25 | 0.54 | -2.59 | 0.0268* |
| Gill | 20:1 n-11 | 0.62 | 1.45 | -3.03 | 0.0126* |
| Gill | 20:1 n-9 | 0.18 | 0.43 | -3.21 | 0.0093* |
| Gill | 20:1 n-7 | 0.3 | 0.48 | -2.03 | 0.0694 |
| Gill | 18:2 n-6 | 0.12 | 0.54 | -3.29 | 0.0081* |
| Gill | 18:02 | 0.08 | 0.12 | -1.86 | 0.0923 |
| Gill | 20:2 n-6 | 0.3 | 0.87 | -3.39 | 0.0069* |
| Gill | 20:4n-6 (ARA) | 0.86 | 2 | -2.93 | 0.0151* |
| Gill | 20:5n-3 (EPA) | 2.37 | 3.51 | -1.99 | 0.0744 |
| Gill | 22:4n-6 (DHA) | 0.12 | 0.24 | -2.3 | 0.0446* |
| Gill | 22:5 n-3 (DPA) | 0.58 | 1.04 | -2.51 | 0.0309* |
| Gill | 22:6 n-3 | 0.2 | 0.53 | -3.07 | 0.0118* |
| Gill | 24:5 n-6 | 0.09 | 0.12 | -1.45 | 0.197 |
| Gonad | 14:00 | 0.37 | 0.63 | -1.17 | 0.2705 |
| Gonad | 15:00 | 0.2 | 0.24 | -0.56 | 0.5896 |
| Gonad | 16:00 | 4.91 | 5.25 | -0.26 | 0.8019 |
| Gonad | 17:00 | 0.6 | 0.56 | 0.3 | 0.7714 |
| Gonad | 18:00 | 2.29 | 2.3 | -0.02 | 0.9867 |
| Gonad | 16:1 n-7 | 0.5 | 0.65 | -0.61 | 0.5577 |
| Gonad | 18:1 n-9 | 0.73 | 1.33 | -1.12 | 0.2889 |
| Gonad | 18:1 n-7 | 1.64 | 1.95 | -0.38 | 0.7154 |
| Gonad | 20:1 n-11 | 3.21 | 3.7 | -0.53 | 0.6106 |
| Gonad | 20:1 n-9 | 0.76 | 1.77 | -1.54 | 0.1557 |
| Gonad | 20:1 n-7 | 3.18 | 3.96 | -0.61 | 0.5527 |
| Gonad | 18:2 n-6 | 1.39 | 0.7 | 1.57 | 0.1485 |
| Gonad | 18:02 | 0.42 | 0.51 | -0.39 | 0.7022 |
| Gonad | 20:2 n-6 | 1.96 | 1.04 | 1.62 | 0.1359 |
| Gonad | 20:4n-6 (ARA) | 0.98 | 1.15 | -0.54 | 0.6015 |
| Gonad | 20:5n-3 (EPA) | 7.36 | 7.28 | 0.04 | 0.9703 |
| Gonad | 22:4n-6 (DHA) | 0.46 | 0.45 | 0.04 | 0.9663 |
| Gonad | 22:5 n-3 (DPA) | 1.89 | 1.77 | 0.12 | 0.906 |
| Gonad | 22:6 n-3 | 2.7 | 2.59 | 0.18 | 0.8593 |
| Gonad | 24:5 n-6 | 0.11 | 0.13 | -0.57 | 0.5928 |
| Mantle | 14:00 | 0.11 | 0.09 | 1.8 | 0.131 |
| Mantle | 15:00 | 0.11 | 0.07 | 4.03 | 0.003* |
| Mantle | 16:00 | 1.74 | 1.32 | 3.58 | 0.0059* |
| Mantle | 17:00 | 0.2 | 0.14 | 4.14 | 0.0025 |
| Mantle | 18:00 | 1.16 | 0.92 | 3.16 | 0.0116* |
| Mantle | 16:1 n-7 | 0.08 | 0.05 | 2.48 | 0.0353* |
| Mantle | 18:1 n-9 | 0.29 | 0.24 | 1.36 | 0.2079 |
| Mantle | 18:1 n-7 | 0.22 | 0.15 | 2.3 | 0.0615 |
| Mantle | 20:1 n-11 | 0.84 | 0.62 | 2.97 | 0.0158* |
| Mantle | 20:1 n-9 | 0.21 | 0.19 | 0.35 | 0.7308 |
| Mantle | 20:1 n-7 | 0.4 | 0.28 | 3.98 | 0.0032* |
| Mantle | 18:2 n-6 | 0.13 | 0.09 | 2.38 | 0.0412 |
| Mantle | 18:02 | 0.07 | 0.04 | 4.05 | 0.0067* |
| Mantle | 20:2 n-6 | 0.33 | 0.24 | 2.74 | 0.0228* |
| Mantle | 20:4n-6 (ARA) | 1.22 | 0.98 | 1.42 | 0.1893 |
| Mantle | 20:5n-3 (EPA) | 2.42 | 1.76 | 3.85 | 0.0039* |
| Mantle | 22:4n-6 (DHA) | 0.17 | 0.1 | 2.73 | 0.0342* |
| Mantle | 22:5 n-3 (DPA) | 0.77 | 0.5 | 3.12 | 0.0124* |
| Mantle | 22:6 n-3 | 0.4 | 0.29 | 2.73 | 0.0232* |
| Mantle | 24:5 n-6 | 0.12 | 0.09 | 3.62 | 0.0056* |
Total concentrations (mg/µg DW) in various tissues of the Antarctic snail Neobuccinum eatoni under control conditions and low pH exposure (LpH).
Statistical analyses were performed using a t-test, with asterisks denoting significant differences (p < 0.05).
Multivariate analyses supported these tissue-specific patterns. Principal Component Analysis (PCA) revealed a clear separation along PC1, differentiating the gonad’s FA composition from that of gill, foot, and mantle tissues (Figure 3). Within this framework, differences between control and LpH conditions were most evident in the gills. Similarly, non-metric Multidimensional Scaling (nMDS) indicated a marked distinction between control and LpH treatments in gill and mantle tissues, while this separation was less pronounced in the other tissues (Figure 4).
Figure 3

Principal Component Analysis (PCA) illustrating the relative (%) composition of fatty acids in different tissues (gonad, gill, mantle, and foot) of the Antarctic snail Neobuccinum eatoni under acidified conditions (LpH = low pH; (7.70 ± 0.09)) compared to control conditions.
Figure 4

Non-metric Multidimensional Scaling (MDS) analysis depicting tissue fatty acid composition variability. LpH = low pH (7.70 ± 0.09).
Under LpH conditions, opposite patterns were observed in gill and mantle tissues. In the gills, total SFA, MUFA, PUFA, and LC-PUFA contents were significantly higher in the control group than in LpH-exposed snails (Figure 5; Supplementary Table S1). The PUFA/SFA and MCL ratios followed the same trend, whereas the 20:5n-3/20:4n-6 and n-3/n-6 ratios were elevated under LpH. EPA was the most abundant FA in the gills, although no significant difference was detected between treatments. Several other FAs, including 20:2n-6, ARA, DHA, 22:5n-3, and MUFAs such as 18:1n-7, 20:1n-11, and 20:1n-9, were significantly higher in control samples (Table 2).
Figure 5

Fatty acid composition (mg/µg DW) across various Antarctic snail Neobuccinum eatoni tissues under low pH (LpH) (7.70 ± 0.09) and control conditions, with asterisks denoting significant differences (p < 0.05).
Conversely, in the mantle, SFA, MUFA, PUFA, and LC-PUFA levels were significantly higher under LpH exposure. The PUFA/SFA ratio and MCL indicator also increased in LpH samples compared to controls (Figure 5; Supplementary Table S1). Most mantle FAs were significantly altered by acidification, with EPA, DHA, 22:5n-3, 22:6n-3, and 24:5n-6 showing particularly elevated levels under LpH conditions (Table 2; Supplementary Table S2).
4 Discussion
This study represents the first investigation into the response of N. eatoni to projected OA scenarios, providing novel evidence of tissue-specific sensitivity through FA composition analyses. Our findings demonstrate that exposure to LpH conditions induces significant alterations in FA profiles, with distinct patterns observed between gill and mantle tissues.
4.1 Tissue-specific fatty acid profiles
FA composition varied considerably among tissues, with PUFAs predominating across all samples. The gonads displayed the highest MUFA content, likely reflecting their reproductive function and energy storage role. In contrast, the gills and mantle were more responsive to OA exposure. In gills, total SFA, MUFA, PUFA, and LC-PUFA levels were significantly reduced under LpH conditions, indicating a reorganization of FA composition in response to environmental stress. Notably, ARA (20:4 n-6) levels also decreased, which could reduce the production of eicosanoids, potentially compromising inflammatory signaling and immune plasticity (Supplementary Table S3). Conversely, in the mantle, these same FA classes were elevated under LpH. The increased LC-PUFA content in the mantles may represent an adaptive response to mitigate oxidative damage and maintain membrane integrity under environmental stress. LC-PUFAs, particularly DHA and EPA, play a crucial role in modulating oxidative stress, as they are involved in the regulation of antioxidant defense mechanisms and inflammatory responses (
The observed tissue-specific variations in DHA levels between the mantle and gill tissues of N. eatoni under LpH conditions may be attributed to the distinct physiological roles and environmental exposures of these tissues. The mantle, primarily responsible for shell formation and protection, exhibited elevated DHA levels under LpH conditions, suggesting an adaptive mechanism to maintain membrane fluidity and integrity in response to environmental stressors. This lipid remodeling could enhance the mantle’s resilience to oxidative stress induced by ocean acidification. However, this strategy may involve a metabolic cost, diverting resources from other physiological processes such as growth or reproduction.
In contrast, the gills, which are directly exposed to the external environment and are the main site for respiration and ion regulation, contained higher DHA concentrations in the control samples. Under LpH conditions, the reduced DHA levels in the gills likely reflect increased lipid peroxidation caused by elevated reactive oxygen species (ROS) (
In mantle tissue, EPA levels were elevated in individuals exposed to LpH conditions. These FAs are well known for their anti-inflammatory properties and their ability to modulate membrane-associated proteins, such as ion channels and transporters (
Additionally, independent of the OA experiment, we observed differences in FA concentrations between the gonads and the other three analyzed tissues. These differences are primarily driven by the higher abundance of MUFAs in the gonads, where MUFAs represent the predominant FA class. The elevated MUFA suggests a critical role in reproductive processes, likely associated with energy storage and the maintenance of membrane fluidity during gametogenesis. In N. eatoni, this pattern may indicate a physiological adaptation to meet the energetic and structural requirements of gamete development. For example,
4.2 Immune modulation and n-3/n-6 balance
In addition to their structural and energetic roles, fatty acids contribute to immune regulation. In particular, the balance between n-3 and n-6 PUFAs influences the production of pro- and anti-inflammatory eicosanoids, as both groups compete for the same desaturation and elongation pathways (
Similar findings have been reported in Crassostrea gigas, where OA exposure increased n-3 PUFA content in gills, influencing immune performance and disease susceptibility (Wang et al., 2016). In N. eatoni, this tissue-specific shift may serve as a compensatory immune response to the heightened oxidative and ionic challenges posed by OA. However, whether this adjustment enhances or compromises immune competency remains to be further investigated.
4.3 Homeoviscous adaptation
Homeoviscous adaptation (HVA) refers to modifications in the chemical and mechanical properties of the lipid bilayer that help preserve membrane fluidity under changing stress conditions (
4.4 Biochemical drivers of FA shifts
While our results support the use of FA profiles as tissue-specific biomarkers of physiological stress in N. eatoni, a more mechanistic understanding of the biochemical underpinnings driving these shifts under pCO2/pH variability is essential. FA composition in marine invertebrates is not static, but rather dynamically regulated through enzymatic pathways such as desaturation and elongation, mediated by desaturases and elongases whose activities are often sensitive to environmental stressors (
5 Conclusion
This study provides new evidence of tissue-specific alterations in the FA composition of N. eatoni under LpH exposure. Significant changes were observed, particularly in mantle and gill tissues, with shifts in n-3/n-6 ratios and lipid-related indicators (e.g., PUFA/SFA ratio, MCL), suggesting possible effects on membrane properties and immune-related pathways. The depletion of ARA in gills and elevation of LC-PUFAs in the mantle highlight tissue-specific trade-offs between immune regulation and membrane resilience. While our study did not directly measure physiological processes, these FA patterns may serve as biochemical signals of tissue remodeling under OA conditions. Overall, these findings highlight that different tissues of N. eatoni respond distinctly to acidified seawater, offering valuable baseline information on potential sensitivity to OA. Given the scarcity of data on Antarctic gastropods, this work represents a step toward understanding their responses, but longer-term and integrative studies are needed to clarify the physiological and ecological implications, particularly regarding organismal performance and population resilience in polar environments. Considering the ecological and reproductive implications, longer-term and integrative studies are needed to clarify the consequences for organismal performance, survival, and population resilience in polar environments.
Statements
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The study was conducted in accordance with the local legislation and institutional requirements.
Author contributions
NS: Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing, Funding acquisition, Project administration. MD: Conceptualization, Supervision, Writing – review & editing, Methodology. GA: Formal analysis, Methodology, Writing – review & editing, Conceptualization, Investigation. LF: Formal analysis, Methodology, Writing – review & editing. MD: Methodology, Writing – review & editing. RS: Conceptualization, Formal analysis, Funding acquisition, Investigation, Supervision, Writing – review & editing, Project administration.
Funding
The author(s) declare financial support was received for the research and/or publication of this article. This study was supported by PADI Foundation (#81356), Dirección Nacional del Antártico (DNA)/Instituto Antártico Argentino (IAA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Alfred Wegener Institute (AWI, Germany), and Universidad Nacional de Córdoba. Partial funding was provided by PICT-2018-02125, PICT-2021-I-GRF1, PICT-2020-SERIEA-02956, and the EU project CoastCarb, Marie Curie Action RISE (H2020-MCSA-RISE 872690). The research presented here was conducted with infrastructure funded by EMBRC Belgium-FWO International Research Infrastructure I001621N.
Acknowledgments
The authors extend their sincere thanks to the staff of the Carlini Station. Special thanks to Dr. Bruno Vlaeminck (UGent, Marine Biology) for his assistance with lab work.
Conflict of interest
The authors declare that no commercial or financial relationships were present that could be perceived as a potential conflict of interest in the conduct of this research.
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The author(s) declare that no Generative AI was used in the creation of this manuscript.
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Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmars.2025.1645755/full#supplementary-material
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Summary
Keywords
Southern Ocean, gastropod, CO2 anthropogenic emissions, lipid biochemistry, benthos
Citation
Servetto N, De Troch M, Alurralde G, Ferrero L, de Aranzamendi MC and Sahade R (2025) Effects of ocean acidification on fatty acid composition in the Antarctic snail Neobuccinum eatoni. Front. Mar. Sci. 12:1645755. doi: 10.3389/fmars.2025.1645755
Received
12 June 2025
Accepted
13 October 2025
Published
29 October 2025
Volume
12 - 2025
Edited by
Eva Chatzinikolaou, Hellenic Centre for Marine Research (HCMR), Greece
Reviewed by
M. Roberto García-Huidobro, Universidad Santo Tomás, Chile; Gurucharan Sudarshan, Ben-Gurion University of the Negev, Israel
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© 2025 Servetto, De Troch, Alurralde, Ferrero, de Aranzamendi and Sahade.
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*Correspondence: Ricardo Sahade, rsahade@unc.edu.ar; Natalia Servetto, nservetto@mi.unc.edu.ar
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