Have a personal or library account? Click to login
Experimental observations on ultrastructure of scales of red seabream (Pagrosomus major) for seawater pH monitoring Cover

Experimental observations on ultrastructure of scales of red seabream (Pagrosomus major) for seawater pH monitoring

Open Access
|Dec 2025

Full Article

1.
Introduction

Ocean acidification refers to the progressive decline in seawater pH caused by the oceanic absorption of anthropogenic CO2 (Gattuso & Hansson, 2011). The global ocean has sequestered enormous anthropogenically emitted CO2 since the pre-industrial era (Liu & Xie, 2017; Sabine et al., 2004), driving a 0.1 pH decline in global surface oceans (Caldeira & Wickett, 2003). While this pH shift seems to be numerically modest, it corresponds to a ~30% increase in hydrogen ion concentration ([H+]), representing significant acidification of seawater (Iglesias-Rodriguez, 2012). Such contemporary ocean acidification has occurred 100-fold faster than natural background pH variability over the past 650 000 years (Ní Longphuirt et al., 2010; Ridgwell & Schmidt, 2010; Solomon et al., 2007). Under IPCC (The Intergovernmental Panel on Climate Change)-projected emission trajectories, surface ocean pH could decrease to 0.3–0.5 units below pre-industrial values by 2100 (Caldeira & Wickett, 2005). For unmitigated emission scenarios, oceanic surface pH might reach 0.7 units by 2300 (Zeebe et al., 2008).

Ocean acidification affects all marine zones from abyssal plains to littoral ecosystems (Feely et al., 2009, 2010; Orr et al., 2005), exerting pervasive impacts on marine biota (Doney et al., 2009). Acidification disrupts biomineralization pathways and enhances skeletal decalcification in shell-forming mollusks (e.g., oysters) and scleractinian corals that biosecrete calcium carbonate structures (NOAA, 2025). Under acidified conditions, planktonic calcifies (coccolithophores/foraminifera) experience reduced calcification rates, potentially changing trophic networks and ecosystem functions (Cooley & Doney, 2009; Silverman et al., 2009). Given ocean acidification’s substantial marine biosphere and ecosystems impact, pH monitoring constitutes a critical task addressing climate change presently. Over the past two decades, moored buoys equipped with instruments and data loggers have been deployed globally (Marshall et al., 2019). These monitoring stations capture long-term variations in seawater chemistry, and provide spatially discrete data, but their implementation and maintenance incur substantial costs (Marshall et al., 2019). Biomonitoring provides a cost-effective supplementary methodology for coastal acidification assessment (Gaylord et al., 2018; Miller et al., 2023).

Fish is one of the major animal groups of aquatic fauna, playing key roles in marine ecosystems (Rishi & Jain, 1998). Fish scales are located on the exterior surface of the body, providing physical protection against predators and parasites, preventing surface fouling, and modifying flow during swimming (Wainwright & Lauder, 2018). Scale morphology exhibits strong potential as an effective bioindicator of aquatic pollution since they continuously interact with waterborne pollutants (Rishi & Jain, 1998). Ultrastructural morphological changes in scales can serve as early signs of trace-level dye exposure stresses, while even the scales of deceased fish may be applicable for reconstruction environmental changes preceding mortality (Kaur et al., 2016). Utilizing alterations in fish scale morphology as bioindicators for climatic and environmental changes offers the additional advantage of enabling non-destructive sampling, since there is no need to sacrifice animals.

This study quantifies pH-dependent microstructural variations in scales of an extensive distributed economic fish, the red seabream (Pagrosomus major), which is widespread in the Pacific and Indian oceans, to establish a potential new pH bioindicator.

2.
Materials and methods

The red seabream (P. major) is one of the most important marine fish species in the aquaculture industries of eastern Asia, with a broad distribution across coastal areas of the Pacific and Indian oceans (approximately 34°N–15°N), prized for its flavor and health-related dietary qualities (Cai et al., 2014; Sarker et al., 2005). Morphologically, (1) it has an oblong–oval and laterally compressed body adorned with numerous blue spots when fresh; (2) its body is relatively shallow, with body depth being two or more times as the standard body length; (3) it possesses 6.5–7 scale rows between the lateral line and dorsal fin origin; (4) all dorsal fin spines are robust and not elongated; and (5) the caudal fin has a black posterior margin and a white lower margin (Bergstad, 1991). It typically lives at depths of 10–50 m, often over both rough and soft substrates (Frimodt, 1995). Adults migrate into shallower parts of their depth range to spawn in late spring and summer, while juveniles are mainly found in shallower areas, preying on benthic invertebrates, including echinoderms, worms, mollusks, and crustaceans and fishes (Frimodt, 1995).

To analyze scale ultrastructure in red seabream (P. major), specimens were sourced from coastal markets in the Zhoushan region in October 2023. The Zhoushan Sea area (29°32′–31°04′ N, 121°30′–123°25′ E) is bordered by the Yangtze River Estuary to the north, Hangzhou Bay to the west, and the broad East China Sea continental shelf to the east, consisting of dense islands, located within a subtropical monsoon climate zone known for its strong seasonality (Fu et al., 2019). The region hosts China’s largest fishing ground and several national-level marine ranches (Xiao et al., 2024). The maximum depth of the regional onshore shelf is approximately 50 m, with most areas shallower than 20 m (Wang et al., 2025), while the average annual salinity ranges from 6.72 to 32.62, and the pH ranges from 8.03 to 8.45 (Li et al., 2024).

Scales were collected from caudal, ventral, and dorsal regions (Figure 1) using fine-tipped forceps, picking up 10 scales per part and followed by gentle rinsing in pure water. Samples were immersed in flow-through aquarium systems with seawater maintained at four pH levels: 7.04 ± 0.10, 7.31 ± 0.10, 7.45 ± 0.05, 7.67 ± 0.06, and 7.86 ± 0.05. Water mass pHs were maintained through controlled CO2 dosing and calcium reactor systems (AQUA EXCEL) to preserve carbonate equilibria. The calcium reactor adjusts and controls factors such as CO2 gas, water flow, and calcium-alkaline media to facilitate reactions between dissolved carbon dioxide and alkaline substances in the water. This process precipitates calcium ions while generating a calcium bicarbonate solution, which supplies essential calcium and alkaline ions for aquarium organisms, promotes water stability and biological reproduction, and lowers pH levels by increasing dissolved CO2 concentration through controlled gas infusion. The pH was continuously monitored and regulated using a pH controller (Weipro PH-2010, WEIPRO) until the target values were achieved and stabilized. The experiment was conducted from 6 November 2023, to 18 January 2024, as the temperature of aquarium maintains 25 ± 0.3°C. Relevant parameters are summarized in Table 1.

Figure 1

Overall view of sea bream (P. major) and morphology of caudal, ventral, and dorsal scales under stereomicroscopy. (A) Schematic diagram depicting three distinct anatomical regions of scale removal from the left lateral side of the red seabream (P. major). (B–D) Photomicrographs of scales from the caudal (tail), ventral (abdominal), and dorsal (back) regions, respectively, obtained via optical microscopy.

Table 1

Seawater carbonate chemistry parameters at different pH levels.

MeasuredCalculated
pHNpHTTA (μmol kg–1)T (°C)S (PSU‰)pCO2 (μatm)ΩcalcΩarag
7.97.86 ± 0.052305.71 ± 255.7324.97 ± 0.4030.55 ± 0.79667.37 ± 117.963.55 ± 0.682.32 ± 0.44
7.77.67 ± 0.062269.71 ± 225.0824.96 ± 0.4430.21 ± 0.771100.05 ± 185.492.34 ± 0.51.53 ± 0.32
7.57.45 ± 0.052311.86 ± 235.1225.12 ± 0.4130.35 ± 0.761936.22 ± 307.071.5 ± 0.310.98 ± 0.2
7.37.26 ± 0.062368.09 ± 252.7424.97 ± 0.4330.71 ± 0.933075.08 ± 504.821.04 ± 0.270.68 ± 0.17
7.17.04 ± 0.102342.55 ± 411.4024.97 ± 0.4330.31 ± 1.205538.39 ± 1423.630.63 ± 0.210.41 ± 0.14

pH, total alkalinity, temperature, and salinity were measured. pCO2, DIC, Ωcalc, and Ωarag were calculated using the CO2SYS program. Values are expressed as mean ± SD.

SD, standard deviation. TA, total alkalinity. PSU, practical salinity unit(‰).

The pure water cleaned fish scales were air-dried at ambient conditions. To prevent structural curling, the scales were flattened and secured between glass slides for 48 hr and 72 hr prior to microscopic observations. The dried scales were mounted on metal stubs using double-sided adhesive tape, with their front side facing upward and the rear side adhered to the tape. Scale morphology and ultrastructure were analyzed using stereomicroscopy (ZEISS Stemi 305, Zeiss) and field-emission scanning electron microscopy (SEM; Hitachi SU8010, HITACHI). A 30 nm thick gold film was applied to the samples using a sputter coater (Quorum Q150T PLUS, QUORUM). This gold coating effectively mitigated charging effects and beam damage during imaging, and enhanced secondary electron signal intensity from the sample surface. The scales were observed under high vacuum in a scanning electron microscope (SEM) with the following parameters: an accelerating voltage of 15/3/5 kV and a low probe current.

Microstructural features were systematically archived through digital image acquisition, with particular emphasis on ctenii and lepidont architectures. Typically, the most visible portion of the scale (referred to as the posterior field) is composed of interlocking ctenii. In such cases, only the rearmost one or two rows of ctenii remain fully developed spines, whereas older ctenii are reduced to shortened, interlocking stubs (Lanzing & Higginbotham, 1974). Lepidont functions as hooks that anchor the scales to the dermis, securing their position and preventing them from loosening or detaching from the fish. Additionally, they act as friction pads between the anterior portion of the scale and the posterior overlapping scales, aiding in movement (Khanna et al., 2007).

The measurement aspect ratios (length-to-width) of ctenus and lepidont were visualized by using Origin (2025). Specific measurement methodologies are detailed in Figures 2D and 2E. Box plot distribution patterns revealed significant linear associations between ventral ctenii and caudal/ventral lepidont microstructural parameters with environmental pH gradients, prompting the implementation of Pearson correlation analysis to quantify these pH-dependent structural relationships.

Figure 2

Fish scale structures at different scales under FE-SEM. (A) Morphological terminology of the scale. (B, C) Focused areas of the anterior field and posterior field under scanning electron microscopy (SEM), respectively. (D, E) Schematic diagrams of the measurement scale, illustrating the methodologies for quantifying the longitudinal and basal transverse dimensions of the microstructural components ctenii and lepidont, respectively. FE-SEM, field emission scanning electron microscopy.

3.
Results

Variations are found in scale morphology of this fish in different body parts (Figure 1). The ctenii are arranged in an interlocking pattern within the posterior field (Figures 2A,B). In their natural state, they possess elongated and intact tips, and with slightly rectangular segments (Figure 2B). Lepidonts protrude from the circuli, with adjacent lepidonts spaced 0.002 mm apart and exhibiting a conical shape (Figure 2C). Morphological variability is also observed in lepidont forms, including blunt, pointed, acute, short, or truncated morphotypes (Echreshavi et al., 2023; Figure 2C).

Compared with the control group, the ctenial tips in the experimental groups (caudal, ventral, and dorsal scales) exhibited significant shortening, whereas the overall arrangement of ctenii remained morphologically intact (Figure 3). The patterns of tip damage varied: parts of ctenii displayed smooth-edged notches (Figure 3B), others showed localized pitting (Figure 3D), and even partial reduction in interfacial contact area between adjacent ctenii, resulting in loosened structural integration (Figure 3N). Meanwhile, the dorsal lepidonts exhibited sparser spacing between adjacent structures (Figure 4). Relative to the control group, all experimental groups (caudal, ventral, and dorsal) displayed lepidont tip shortening (Figure 4), though the degree of shortening and the morphology of apical notches varied. Partial lepidonts were blunted (Figure 4B), others showed beveled tips with partial truncation (e.g., Figure 4I), and the remaining lepidonts developed surface pitting (Figure 4J).

Figure 3

FE-SEM analysis of ctenii ultrastructures in scales from different body regions (caudal, ventral, dorsal). From left to right: FE-SEM images of the ctenii regions in scales from the caudal (tail), ventral (abdomen), and dorsal (back) regions of red seabream (P. major). (A, F, K) Untreated control scales from the three respective body regions. (B–E) FE-SEM images of caudal scales exposed to experimental aquaria with pH levels of 7.1, 7.5, 7.7, and 7.9, respectively. (G–J, L–O) Correspond to FE-SEM images of ventral scales and dorsal scales under identical pH treatments, respectively. FE-SEM, field emission scanning electron microscopy.

Figure 4

FE-SEM analysis of lepidont ultrastructures in scales from different body regions (caudal, ventral, dorsal). From left to right: FE-SEM images of the lepidont regions in scales from the caudal (tail), ventral (abdomen), and dorsal (back) regions of red seabream (P. major). (A, F, K) Untreated control scales from the three respective body regions. (B–E) Correspond to FE-SEM images of caudal scales subjected to experimental aquaria with pH levels of 7.1, 7.5, 7.7, and 7.9, respectively. (G–J, L–O) Also represent FE-SEM observations of ventral scales and dorsal scales under identical pH treatments, respectively. FE-SEM, field emission scanning electron microscopy.

As shown in Figure 5, the average length-to-width ratio of ctenii of caudal scales under pH 7.1, 7.5, 7.7, and 7.9 conditions is 1.009 (Aspect Ratio = 0.81–1.18),1.005 (AR = 0.84–1.11), 0.978 (AR = 0.83–1.18), and 1.001 (AR = 0.81–1.19), respectively; while those of ctenii of ventral scales are 1.237 (AR = 1.05–1.32), 1.328 (AR = 1.15–1.65), 1.071 (AR = 0.92–1.15), and 0.887 (AR = 0.75–1.12); and those of ctenii of dorsal scales are 1.452 (AR = 1.16–1.64), 0.982 (AR = 0.71–1.22), 1.279 (AR = 1.15–1.51), and 1.230 (AR = 0.70–1.70). The average length-to-width ratio of the lepidont of caudal scales under pH 7.1, 7.5, 7.7, and 7.9 conditions is 0.885 (AR = 0.63–1.13), 1.271 (AR = 0.74–1.63), 1.134 (AR = 1.52–1.81), and 0.922 (AR = 0.75–1.08), respectively; while the lepidont ratios of the ventral scales are 0.596 (AR = 0.35–0.85), 1.731 (AR = 1.05–1.52), 1.117 (AR = 0.53–0.68), and 0.619 (AR = 0.25–0.63); and the lepidont ratios of the dorsal scales are 0.329 (AR = 0.13–0.38), 1.022 (AR = 0.55–1.43), 0.346 (AR = 0.21–0.42), and 1.048 (AR = 0.75–1.48). It is worth noting that the data for pH 7.3 is absent for the unexpected serve sample fragmentation due to the broken water-mass circulation system.

Figure 5

Box plot analysis of the aspect ratios of ctenii and lepidont ultrastructures in scales from different body regions (caudal, ventral, dorsal) under varying pH conditions. (A–C) Box plots of ctenii microstructure aspect ratios (length/width) for caudal, ventral, and dorsal scales at pH 7.1, 7.5, 7.7, and 7.9. (D–F) Box plots of lepidont microstructure aspect ratios (length/width) for caudal, ventral, and dorsal scales under the different pH conditions. Boxplot elements: Solid line = median; dashed line = mean; box limits = 1st and 3rd quartiles; whiskers = data within 1.5 × interquartile range.

4.
Discussion

Acidic conditions induce microstructural erosion at ctenii/lepidont apices (Figures 3 and 4), attributable to calcium dissolution and collagen degradation, thereby compromising scale integrity. Fish scales are composed of two distinct layers: a rigid upper mineralized layer consisting of calcium phosphate (hydroxyapatite) and a poorly mineralized layer (referred to as the basal plate or fibrous plate) primarily made of collagen (Fouda, 1979; Hutchinson and Trueman, 2006; Zylberberg, 2004; Zylberberg & Nicolas, 1982). The well-mineralized outer layer of bony scales is composed of thin collagen fibrils embedded within a mineral crystal matrix, but lacks thicker collagen fibers (Zylberberg, 2004; Zylberberg & Nicolas, 1982). The basal plate is composed of continuous collagen layers arranged in a lamellar manner, approximately 100 nm in diameter (Zylberberg, 2004). The orientation of these fiber shifts from one layer to the next, form a plywood-like structure (Weiner & Wagner, 1998; Zylberberg, 1988). Notably, the ultrastructure of fish scales is influenced by variations in physicochemical factors such as ionic concentrations in water, exposure duration, temperature, and salinity. Compared with ctenii, lepidonts exhibit a more pronounced response to pH changes—even though the dorsal lepidont ultrastructure lacks linear patterns. The authors propose that this divergence arises because lepidonts, composed solely of collagen fiber layers and devoid of calcium salts, are inherently more sensitive to seawater pH fluctuations. In contrast, ctenii are calcified and contain polysaccharides (Fouda, 1979) that stabilize their structure. Collagen, compared with hydroxyapatite (the mineral component of ctenii), demonstrates heightened pH sensitivity due to its organic matrix vulnerability.

The collagen in fish scales is classified as type I collagen (Pulikkottil Rajan, 2024), consisting of two alpha1 chains and one alpha2 chain (Bielajew et al., 2020). This collagen adopts a triple-helical configuration characterized by three polypeptide chains with repeating motifs (Alves et al., 2017). Environmental pH modulates protein hydration through net charge regulation (Hamm, 1986), which subsequently alters collagen’s microscopic organization. Within the acidic pH range (3–6), collagen demonstrates enhanced solubility resulting from amplified intermolecular electrostatic repulsion (Damodaran & Parkin, 2017; Pal & Suresh, 2017). However, maximum solubility thresholds vary contingent upon fish species and collagen subtype composition (Damodaran & Parkin, 2017; Pal & Suresh, 2017). Fish scales contain significant quantities of calcium, primarily existing as hydroxyapatite composed principally of calcium (Ca) and phosphorus (P) (Abdullah et al., 2023). Lepidontal composition studies documented calcium-deficient collagenous matrices (Fouda, 1979). Reduced environmental pH may promote physicochemical changes in calcium homeostasis, including hydroxyapatite demineralization or structural reorganization within scales, as the major mechanism for our observed responses of lepidontal/ctenial microstructures to OA (Ocean acidification).

The morphological and ornamentation features of scales in freshwater and marine fish species have been extensively studied (Alkaladi et al., 2013; Harabawy, 2002; Harabawy et al., 2012; Lippitsch, 1993; Mekkawy et al., 1999, 2003; Renjith et al., 2014). Both light microscopy (LM) and scanning electron microscopy(SEM) are commonly utilized to analyze scale morphology in environmental studies, enhanced the application of scale morphology in ichthyological research by revealing cryptic structural details (Ibáñez & Jawad, 2018). Fish scales have been established as bioindicators of aquatic ecosystem pollution (Esmaeili et al., 2019; Kaur & Dua, 2012). Our data show that within pH 7.5–7.9, the mean aspect ratio of ventral ctenii and caudal/ventral lepidonts showed a linear decline as pH increased (r = –0.25, p = 0.02; r = –0.35, p = 0.008; r = –0.62, p < 0.001), introducing a semiquantitative model establishing correlations between ocean acidification stress and ultrastructural changes in fish scales.

Ocean acidification presents a growing threat to marine ecosystems globally. A key scientific objective involves identifying reliable bioindicators to monitor the ecological impacts of seawater chemistry alterations for policymakers (Gaylord et al., 2018). Candidate bioindicators for ocean acidification must demonstrate: (1) pH sensitivity, (2) ecological relevance, (3) monitoring feasibility, and (4) socioeconomic importance (Gaylord et al., 2018). Declining populations of hard corals, crustose coralline algae (CCA), and calcifying invertebrates, coupled with proliferating non-calcifying algae and seagrasses, constitute recognized OA bioindicators (Meyer et al., 2015). However, the monitoring scope remains relatively limited, primarily applicable to nearshore and benthic coastal marine environments. Certain benthic algal taxa, widely distributed in shallow photic zones, also represent potential bioindicators of coastal seawater acidification, like the brown alga Padina pavonica exhibits sensitivity to both acute and chronic environmental pH fluctuations (Gil-Díaz et al., 2014). Mollusk shells are utilized to monitor acidification in rocky coastal areas due to their occupancy of hard substrates, intertidal pools, and occasionally soft sediments between boulders, spanning the extensive mid-intertidal zone (Marshall et al., 2019). pH ranges were 8.60–5.93 for the acidified sites, with a wide pH gradient. Studies have shown that healthy adult specimens of the pteropod Limacina helicina with intact periostraca (the outer organic shell layer) exhibit no dissolution of their shell surfaces even when exposed to aragonite-undersaturated seawater (pH ~ 7.5) (Miller et al., 2023). However, compromised periostraca enables rapid dissolution initiation: under supersaturated conditions (pH ~ 8), shells maintain structural integrity despite experimental abrasion (Miller et al., 2023). Additionally, distinguishing between bioerosion and dissolution by acidified water in gastropod shells poses significant challenges: shell abrasion can be exacerbated by increased wave action and/or exposure to suspended sediments (Marshall et al., 2019).

Current bioindicators for ocean acidification predominantly consist of benthic organisms or phytoplankton. In contrast, fish, as mobile nektonic species, are widely distributed and exhibit high ecological sensitivity, offering distinct advantages due to their ease of measurement, collection, and application, as well as their widespread distribution. Since different fish species occupy distinct ecological niches across oceanic depths (Sutton, 2013), pelagic fish scales from surface waters act as acidification proxies for the upper water column, whereas demersal taxa reflect bathypelagic acidification trends. We recommend policy integration of scale morphology metrics and standardized assessment protocols to establish acidification monitoring benchmarks, and as semi-quantitative indicators for monitoring ocean acidification. Strategic partnerships with marine industries (e.g., fisheries, tourism sectors) will enable coordinated implementation of acidification mitigation strategies, enhancing ecosystem and socioeconomic resilience (Vasanth et al., 2025).

In addition, the identification of geological acidification is very challenging as its relies on limited sedimentary structures and few geochemical proxies of animal skeletons and there is no reliable paleo-oceanic pH bioindicator for pre-Cenozoic times (Foster et al., 2022). The relative common fossil records of fish scales in sedimentary rocks of Phanerozoic thoroughly validate our proposed proxies to be a potential candidate bioindicator for pH reconstruction of palaeo-oceans (Antczak and Bodzioch, 2018; Cui et al., 2023; Shackleton, 1987).

DOI: https://doi.org/10.26881/oahs-2025.1.29 | Journal eISSN: 1897-3191 | Journal ISSN: 1730-413X
Language: English
Page range: 380 - 391
Submitted on: Jun 1, 2025
|
Accepted on: Dec 8, 2025
|
Published on: Dec 31, 2025
Published by: University of Gdańsk
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Weili Hou, Li Tian, Xin Sun, Xin Li, Xiangming Chen, Haijun Song, published by University of Gdańsk
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.