Next Article in Journal
Erythrocyte Micronuclei and Nuclear Abnormalities in Three Species of Fish from Lake Piediluco (Central Italy)
Previous Article in Journal
Influence of the Level of the Middle River Negro in the Amazon, Brazil, on the Properties of the Blood of the Cururu Freshwater Stingray Potamotrygon wallacei
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Diatoms of Gut Content of Crassostrea gasar (Bivalvia: Ostreidae) (Adanson, 1757) Cultivated in an Amazonian Estuary (Emboraí Velho, Northern Brazil)

by
Barbara de Fátima Oliveira da Silva
1,
Antonio Rafael Gomes de Oliveira
1,
João Victor de Moraes Souza Pinheiro
1,
Brenda Ribeiro Padilha da Silva
2,
Remo Luan Marinho da Costa Pereira
3,
Luci Cajueiro Carneiro Pereira
2 and
Rauquírio Marinho da Costa
1,*
1
Laboratory of Plankton and Microalgae Cultivation, Institute of Coastal Studies, Universidade Federal do Pará, Alameda Leandro Ribeiro s/n, Aldeia 68600-000, Bragança-Pará, Brazil
2
Laboratory of Coastal and Estuarine Oceanography, Institute of Coastal Studies, Universidade Federal do Pará, Alameda Leandro Ribeiro s/n, Aldeia 68600-000, Bragança-Pará, Brazil
3
Laboratori d’Enginyeria Marítima, Universitat Politècnica de Catalunya BarcelonaTech, c/Jordi Girona 1-3, 08034 Barcelona, Spain
*
Author to whom correspondence should be addressed.
Limnol. Rev. 2025, 25(2), 18; https://doi.org/10.3390/limnolrev25020018
Submission received: 14 February 2025 / Revised: 23 April 2025 / Accepted: 26 April 2025 / Published: 1 May 2025

Abstract

The present study investigated the gut contents of oysters cultivated in the Emboraí Velho Estuary (Amazonian littoral), focusing on the analysis of diatoms. Analyses of the stomach contents from 60 adult individuals of the species Crassostrea gasar (Adanson, 1757) collected in the study environment were performed. Additional water samples were collected for the analysis of diatoms present in the estuary. The total number of diatom taxa identified in the estuary was 123, with 35.8% centric diatoms and 64.2% pennate diatoms. Organisms recorded in the analyzed oyster stomachs comprised 61 taxa, of which 37.7% were centric and 62.3% pennate diatoms. The relative abundance of Cymatosira belgica Grunow was 78.2% in April, 72.1% in June, 51.9% in September, and 91.8% in December in the estuary. However, in the gut content, it was 9.9% in April, 4.3% in June, 13.9% in September, and 45.1% in December. The relative abundance of C. belgica, as well as of other less abundant species, was not similar between the gut contents and the diatom species identified in the estuary. Our results indicate that cultivated oysters selectively feed on certain diatom species identified in the estuary, as the main species recorded in the gut contents were not similar to the most abundant and frequent species found in the estuary during the same months of the present study.

1. Introduction

Microalgae are photoautotrophic or mixotrophic organisms that vary in size and complexity [1], and constitute a highly diverse community in terms of species. The complexity of this group is related to the diversity of forms, adaptations developed for life in the pelagic environment, and dimensional variations [2] and references therein. In addition to being excellent bioindicators of environmental quality [3], these organisms, considered the main aquatic primary producers, constitute the basis of marine trophic webs governing material and energy fluxes in the ocean [4,5] and play an important ecological role, representing a critical part in the process of absorption of atmospheric carbon dioxide and thus contributing to the reduction of the “greenhouse effect” [6,7].
Considering the importance of these photosynthetic microorganisms, studies have been performed aiming to explore their economic and ecological potential [8]. The food industry has gained prominence in aquaculture production, using microalgae as a raw material for the nutrition of fish, shellfish, and crustaceans [9,10,11]. According to [12], global aquaculture production grew by 5.3% between 2001 and 2018, which was dominated by fish production (54.3 million tons), followed by shellfish (bivalve mollusks), with 17.7 million tons, and crustaceans (9.4 million tons), which are gastronomic delicacies widely consumed around the world.
Shellfish, second-placed in global aquaculture production, are a highly profitable category, with mussels, oysters, and scallops being the most commercialized organisms in Brazil and in the world [12]. In addition to their economic importance, shellfish are crucial for the balance of aquatic ecosystems, as they are capable of filtering the water through their gills, “cleaning” the environment where they live [13] by consuming phytoplankton [14,15,16] and significantly reducing their populations (top-down control). In coastal environments with intensive shellfish cultivation, these cultured organisms can account for up to 90% of total phytoplankton consumption [17,18].
In this way, shellfish that feed on suspended particles have developed strategies to control the food ingestion process, managing the quantity and nutritive value of the consumed particles and thus optimizing energy gain [19]. Their main source of food is microalgae, especially during larval and juvenile stages [20], as they are generally rich in macro- and micronutrients, bioactive compounds such as amino acids, proteins, lipids, structural and non-structural carbohydrates, minerals, vitamins, antioxidants, and pigments [21,22,23,24], which present the nutritional requirements of different shellfish species.
Among the various phyla that include microalgae, Bacillariophyta (diatoms) can be considered the main food source for filter feeders of the genus Crassostrea, representing about 81% of their diet [25]. Oysters belonging to this genus are widely commercialized in Brazil, especially in the southern region, and are responsible for the country’s highest production of Crassostrea gigas (Thunberg, 1793) [26].
Crassostrea gigas grow in diverse habitats with robust, irregular shells, forming dense reefs and adapting to high-salinity environments [27]. Crassostrea gasar (Adanson, 1757) in turn prosper in tropical estuaries and mangroves, with smoother shells and high tolerance to varying salinity [28]. Both species are resilient, valuable for aquaculture, and differ significantly in ecological roles (see [29,30] and references therein).
Unlike the southern region of Brazil, in the northern region, the Crassostrea gasar oyster is mostly produced through cultivation [31]. This species can be found along the Brazilian coast, occurring naturally in estuarine environments and mangrove regions, where they attach themselves to mangrove roots or rocks [32,33]. They are considered euryhaline and eurythermal, and oysters of this genus have a promyal chamber (a passage that facilitates water flow, supporting respiration and filtration processes) that inverts the excurrent water flow from inside the body, which is an adaptation for survival in high-turbidity environments [34] that are a common characteristic of some Amazonian estuaries [35,36,37], which makes the development of this species successful in the estuaries of Pará, the main oyster producers in the northern region of Brazil [26]. In this region, oysters are cultivated in fixed PVC racks and floating bags suspended by a PVC rack submerged from surface and suspended by eight floats [30]. Cultivators typically harvest oysters around 3–4 months after purchasing juveniles. Although juveniles come at a higher cost, their size and faster growth justify the higher price compared to seeds reaching the minimum market size (~70 mm height) within this short period [38,39].
The state of Pará has five oyster farms located in the municipalities of Salinópolis, São Caetano de Odivelas, Curuçá, Maracanã, and Augusto Corrêa [38]. Oyster farming in the municipality of Augusto Corrêa is the most productive, obtaining a profit of around USD 182,5000 (USD 1 = BRL 5.30 as of 24 March 2023) between 2014 and 2019 [26]. The oyster farming in Augusto Corrêa is located in the estuary of the Emboraí Velho River, in the community of Nova Olinda. This estuary is considered a suitable environment for the growth and fattening of oysters, as it presents a set of hydrobiological aspects—salinity, pH, dissolved nutrients, and phytoplankton biomass—favorable for the success of local production [36,38,40]. In this community, oyster farming generates income and supports the livelihoods of several families, representing a viable alternative for fishermen and family farmers in the region willing to expand their productive/economic activities [39,40].
Considering the ecological and socioeconomic importance of oysters cultivated in the estuary of the Emboraí Velho River, several studies have been conducted in recent years with the aim of understanding the growth profile, ecology, and reproductive biology of Crassostrea gasar, as well as others focused on socio-environmental and socio-economic analyses [11,31,38,39,40,41]. However, studies developed to obtain information on the feeding biology of these filter-feeding animals cultivated in the Augusto Corrêa oyster farming area are not yet available in the literature. Therefore, the present study aimed to investigate the diet of oysters cultivated in this environment, focusing on the analysis of microalgae belonging to the diatom group, as they comprise the major part of the food of these organisms, provide bioactive compounds necessary for their development, and have siliceous valves that resist the action of gastric acids even after digestion of the cellular organic material, which facilitates their identification among the residues present in the stomach contents. Additional hydrological determinations (temperature, salinity, dissolved nutrients, etc.) and taxonomic and ecological studies on the diatom flora of the Emboraí Velho River estuary were also conducted for comparative purposes. This allowed us to test the hypothesis that locally cultivated oysters feed selectively on organisms of the group based on preferences governed by selection processes described in the literature for other shellfish species.

2. Material and Methods

2.1. Study Area

The estuary of the Emboraí Velho River (0°52′54″ S and 46°26′54″ W; Figure 1) is located in the village of Nova Olinda, about 36 km from the municipality of Augusto Corrêa, which belongs to the system of mangroves on the Urumajó Coast, showing a hydrography with wide coastal bays [42]. This estuary is located in an Área de Proteção Ambiental (environmental protection area), the Araí-Peroba Extractive Reserve [43].
The climate in this region is equatorial hot and humid, with a minimum air temperature of 19 °C and a maximum of 27 °C, with annual rainfall ranging from 2500 to 3000 mm, relative air humidity ranging from 70% to 97%, and average wind speed around 0.8 m s−1 (averages of the last 40 years). Semidiurnal macrotides are typical in the northeast region of Pará, with a variation of 5–6 m during spring tide and 3.5–4.5 m during neap tide [44].
The Emboraí Estuary is considered shallow, with an average depth of approximately 5 m. Although it shows high turbidity (409.2 UNT [42]), it is considered a productive estuary in terms of chlorophyll a concentrations (maximum around 15.0 ± 6.2 mg m−3), and also has high phytoplanktonic abundance [36].

2.2. Climatology

Historical average rainfall values for the last 40 years (1978–2018), as well as for the study year (2019), were obtained from the National Institute of Meteorology of Pará (INMET-PA), from the Tracuateua-Pará meteorological station (01°04′00″ S and 46°54′00″ W), situated 60 km from Nova Olinda Village.

2.3. Field Procedures

The campaigns were performed in April and June (rainy season) and September and December 2019 (dry season) during spring tides at a fixed station (1°03′16.37″ S and 46°26′51.14″ W) located in the oyster farming area of the Emboraí Estuary.

2.3.1. Oyster Collection for Gut Content Studies

The oysters used for this study were collected in the suspended table cultivation area during low tide, when the individuals are commonly exposed. A total of 15 specimens of the species Crassostrea gasar were collected per campaign, totaling 60 samples. The selected individuals had an average (± standard deviation—SD) height of 94.0 ± 4.1 mm and width of 64.0 ± 0.8 mm and were classified as medium-sized oysters (80–99 mm), which are widely commercialized in the region [38]. All collected organisms were measured using an analogue caliper (Vonder, 150 mm).
After collection from the cultivation area and the development of the necessary measurements, all the body tissues of the mollusks were removed from inside their shells and stored in 100 mL plastic containers filled with 4% formalin solution (neutralized with borax) to preserve the integrity of the samples during transportation to the laboratory, where analyses of all the collected material were subsequently performed.

2.3.2. Estuarine Diatoms

For comparative purposes between the diatoms found in the oyster’s gut content and those identified in the estuarine cultivation area, samples were collected every 3 h in a nychthemeral cycle (24 h) in the subsurface of the water column (~1 m) in a Niskin oceanographic bottle (3 L). After each collection, the samples were placed in properly labeled 600 mL plastic containers and immediately fixed with Lugol’s solution (potassium iodide—1%) in a volume of 1 mL of fixative for a 100 mL sample.

2.3.3. Hydrological Variables and Phytoplanktonic Biomass (Chlorophyll a)

In order to complement this study, hydrological (physical and chemical variables) and phytoplanktonic biomass data were obtained simultaneously with diatom identification studies. Water temperature, salinity, and turbidity were recorded in situ with the aid of CTDO (model XR-420) coupled with a turbidity sensor, while for the other hydrological variables (pH, concentrations of dissolved nutrients—nitrate-NO3, nitrite -NO2, orthophosphate-PO43−, and silicate-SiO2), as well as for chlorophyll a concentrations, additional subsurface water samples (~1 m) were collected using Niskin bottles. The collected samples were stored in plastic flasks of 600 mL, previously acidified, and then placed in a container with ice for further analysis in the laboratory.

2.4. Laboratory Procedures

2.4.1. Analysis of the Gut Contents of Oysters

The digestive tract of the collected oysters was extracted from inside the bodies of the mollusks with the aid of a Zeiss stereomicroscope (Carl Zeiss, Stemi 2000, Jena, Germany) through a lateral incision with a scalpel blade to remove the content. After removing the gut contents, the material was stored in 100 mL plastic containers and preserved in neutralized formaldehyde.
Afterwards, a tissue bleaching process was performed, immersing samples in sodium hypochlorite (NaClO) for 24 h. At the end of this process, the NaClO residues from the samples were removed by washing them 3 times with distilled water, and then the next step began—the acidic degradation of the organic matter.
For the degradation of the organic matter of the gut contents, adaptations of the methods (Supplementary Material SI) described by [45,46,47] were used. This cleaning process is suitable for the diatom groups, as due to the siliceous composition of their valves, they are resistant to the action of the acids used.
For the latter process, sulfuric (H2SO4), hydrochloric (HCl), and oxalic (C2H2O4) acids and potassium permanganate (KMnO4) were manipulated in a fume hood. KMnO4 and C2H2O4 crystals were weighed on a precision scale and then diluted. After preparing the solutions, they were added to each sample using the protocol presented in the Supplementary Material (SI).
After this procedure, the samples were used in the preparation of permanent slides according to [48]. A heated metal plate was employed for sample evaporation of the residual water, obtaining only the valves of the diatoms on the coverslip. Subsequently, Naphrax (high resolution, diatom mountant) was used to fix the coverslip on the slide in order to promote adhesion between them. Through these slides, called permanent slides, it was possible to identify the diatoms present in the samples through their morphological structures, since the frustules were free of organic matter.

2.4.2. Analysis of the Diatoms of the Estuary

To determine the composition and abundance (cells L−1) of the estuarine diatoms, qualitative and quantitative analyses were performed. For this last analysis, 7 mL aliquots were prepared following the Utermöhl sedimentation method [49].
After the sedimentation process (24 h), the taxa were identified and counted in the entire chamber using a binocular inverted microscope (Carl Zeiss, Axiovert, Jena, Germany) at a magnification of 400×.
Classification of the taxa identified from the samples extracted from the guts of the oysters, as well as from the samples obtained from the water column of the estuary, was determined as per [50,51,52,53,54]. The ecological classification of the species was based on the studies of [55,56,57]. The taxonomic nomenclatures of the identified species were confirmed from the international database AlgaeBase (www.algaebase.org, accessed on 3 April 2021; [58]).

2.4.3. Hydrological Variables and Phytoplanktonic Biomass

In the laboratory, the pH values were determined using a Hanna electronic pH meter (HI 2221). Dissolved nutrients (NO3, NO2, PO43− and SiO2) were analyzed as per the methods described by [59,60]. For the analysis of chlorophyll a concentrations, aliquots of 300 mL of water were filtered using a vacuum pump and glass fiber filters (Machery-Nagel GF 1 0.7 µm, 47 mm). After filtration, the filters were placed in aluminum foil envelopes, duly labeled, and stored in a freezer until the moment of analysis. The determination of chlorophyll a concentrations was performed spectrophotometrically as per the method described by [61,62].

2.5. Data Processing

After the end of the laboratory analyses, density, relative abundance (RA) and frequency of occurrence (FO) of the identified species were calculated. Relative abundance was calculated using the equation RA = (n × 100)/N [63], where: “n” represents the number of organisms of a particular species in a sample and “N” represents the total number of species found in the sample. Results were expressed as percentages and categorized: dominant (>70%), abundant (≤70% and >40%), not very abundant (≤40% and >10%), and rare (≤10%). The frequency of occurrence of taxa was calculated using the equation FO = (p × 100)/P, where “p” is the number of samples containing a particular species and “P” the total number of samples analyzed [64]. For FO, the following categories were established: very frequent (≥75%), frequent (<75% and ≥50%), infrequent (<50% and ≥25%), and sporadic (<25%).
Based on the values obtained, assumptions of normality and homogeneity of variance were tested for both abiotic and biological data using the Lilliefors [65] and Cochran [66] tests, respectively. For variables considered non-normal, log transformation (x + 1) was used to obtain distributions close to normality. For data with homogeneous variances, an analysis of variance (ANOVA) was applied, followed by the HSD Tukey post hoc test when significant differences (p < 0.05) were observed between the studied variables. However, for inhomogeneous variables, the non-parametric Mann–Whitney (U) and/or Kruskal–Wallis (H) tests were applied [67]. All analyses were performed with the aid of the STATISTICA 8.0 program. Hierarchical agglomerative analysis of similarity (cluster analysis) was used to investigate similarities among the samples based on the Bray–Curtis similarity index and fourth root-transformed density data and run in the PRIMER statistical package, version 6.1.6 [68]. A SIMPER (similarity/distance percentages) analysis was conducted to identify the species that had the greatest influence on the formation of groups in the cluster analysis. Additionally, a similarity analysis (ANOSIM) was employed to assess the statistical significance of the differences observed between the groups identified in the dendrogram. Both of these analyses were performed using PRIMER 6.1.6.

3. Results

3.1. Rainfall

The rainfall records of the last 40 years (1978–2018), as well as the year of study (2019), showed a well-defined seasonality, with a period of higher rainfall incidence in the first semester (January to July) and a less rainy period in the second semester (August to December). Analyzing the values obtained by the historical average, variations from 8.9 mm in November to 402.9 mm in March were observed. Among the months of collection, September had the lowest precipitation values (34 mm), while in April, maximum values of 623.2 mm were observed. During the year of study, rainfall values above the historical average (52%) were recorded, as shown in Figure 2. However, large-scale atmospheric events such as La Niña have not been confirmed according to publicly available data [69].

3.2. Biological Variables

3.2.1. Diatom Flora in Oyster Gut Contents

The diatoms that were part of the diet of the oysters analyzed during this study comprised 61 taxa, of which 37.7% were centric and 62.3% pennate diatoms. The identified taxa were distributed in two subphyla, three classes, eight subclasses, 22 orders, four suborders, 35 families, 40 genera, 45 species, and 16 morphospecies (Supplementary Material SII).
The species Cymatosira belgica was the most representative in the analysis of the gut samples, with relative abundance of 13.9% in September and 45.1% in December. Conversely, the maximum relative abundance (Figure 3) recorded among the less abundant taxa was 20.9% for Actinocyclus curvatulus Janisch (April), 14.7% for Thalassiosira sp. (April), 13.4% for Thalassionema frauenfeldii Grunow (September), and 12.5% for Tryblioptychus cocconeiformis Grunow (September). These, as well as other taxa considered less representative during the study period, are listed in Supplementary Material SII.
Cymatosira belgica, Thalassiosira sp., Tryblioptychus cocconeiformis, and Cyclotella litoralis Lange and Syvertsen were very frequent (species with frequencies > 70% [64]) throughout the study period. In this same category were included Thalassionema frauenfeldii in June, September, and December, Navicula sp. during the months of April, June, and September, and Cocconeis sp. and Nitzschia rigida M. Peragallo during the months of June and September. The species Tryblionella granulata Grunow in turn was considered very frequent in April and September. Actinocyclus curvatulus M. Peragallo, in the months of April and June, Psammodictyon panduriforme W. Gregory, Thalassionema nitzschioides Grunow, and Diploneis bombus Ehrenberg, in the month of September, showed a similar pattern. Mastogloia sp. and Gyrosigma balticum Ehrenberg were very frequent taxa in the month of June. The other identified taxa, which were considered frequent or sporadic, are listed, together with the organisms previously mentioned, in Supplementary Material SII.

3.2.2. Diatoms of the Emboraí Velho Estuary

In the estuarine water samples collected during the present study, 123 taxa belonging to the diatoms group were recorded, which were distributed in two subphyla, three classes, eight subclasses, 26 orders, four suborders, 42 families, 65 genera, 81 species, and 42 morphospecies (Supplementary Material SIII). Of these, 35.8% were centric diatoms and 64.2% pennate diatoms.
The species Cymatosira belgica was present in all analyzed samples, representing a dominant species (>70%) throughout the study period, except in September. Its relative abundance was 78.2% in April, 72.1% in June, 51.9% in September, and 91.8% in December (Figure 3). Due to the dominance of this species, the other identified taxa showed low values of relative abundance, being considered rare. Recorded taxa are shown in Supplementary Material SIII.
Among the organisms identified, Cymatosira belgica, Thalassiosira sp., Thalassionema nitzschioides, Paralia sulcata Ehrenberg, Cymatosira lorenziana Grunow, and Navicula delicatula Cleve were very frequent (>70%) throughout the study period. Thalassionema frauenfeldii and Campylodiscus sp. were included in this category during the months of June, September, and December. The morphospecies Navicula sp.1 and the species Diploneis bombus were among the most frequent organisms during the months of April, June, and December (Supplementary Material SIII). Tryblionella granulata and Nitzschia sp.1 displayed a similar trend during the rainy season (April and June) and Thalassiosira subtilis Ostenfeld and Skeletonema costatum Cleve in the dry period (September and December). The species identified in the months of study are listed in Supplementary Material SIII.
Cluster analysis based on density of species from gut content and estuarine ecosystem (Figure 3) showed the formation of two well-separated groups at a level of 57.0% similarity (global ANOSIM R = 0.967, p < 0.05). The first group (group 1) was represented by samples obtained from the gut content of C. gasar, with similarity of 71.5%. This group presented the highest density of C. belgica (December), A. curvatulus (April) and Mastogloia sp. (June) and lower density of T. frauenfeldii and T. cocconeiformis in June. Nitzschia obtusa W. Smith, Nitzschia sp.1, and Cyclotella littoralis (SIMPER (Sim/SD) = 18.7, 17.1, and 15.3, respectively) were the main species responsible for the formation of this clade.
With a similarity of 61.8%, the second group (group 2) comprised samples collected from the estuarine environment. In addition, it was also possible to verify a marked seasonality in the estuarine system, since samples from the dry period (September and December) were separated (2a) from those from the rainy period (2b; April and June). Species such as Navicula delicatula (SIMPER (Sim/SD) = 14.3), Cymatosira belgica (SIMPER (Sim/SD) = 13.6), and Ditylum brightwellii Grunow (SIMPER (Sim/SD) = 13.5) significantly influenced the composition and structure of this group.
The total density of the diatoms identified in the samples from the Emboraí Estuary showed averages that varied between 181.6 ± 135.2 × 103 cells L−1 (September) and 1167.7 ± 995.6 × 103 cells L−1 (December), with values observed in December significantly higher (H = 4.35; p < 0.05; Figure 4).

3.3. Hydrological Variables and Phytoplankton Biomass (Chlorophyll a)

Water temperature showed mean values ranging from 27.7 ± 0.1 °C (April) to 29 ± 0.1 °C (December), with significantly higher values observed for the latter month (H = 31.66; p < 0.05) (Figure 5A). Salinity values showed monthly differences, with significantly higher values in December (F = 116.01; p < 0.05), and mean values ranging from 5.9 ± 0.5 (April) to 29.9 ± 5.4 (December). Significant seasonal differences were also observed, with higher salinities recorded in the dry season (F = 91.96; p < 0.05) (Figure 5B).
Water turbidity had averages ranging from 25.8 ± 5.6 (September) to 125.6 ± 41.2 (April), with more turbid waters recorded in April (F = 5.56; p < 0.05) (Figure 5C). The pH ranged from slightly acidic to alkaline, with significant differences and higher values (H = 27.34; p < 0.05) in December, with mean values ranging from 6.7 ± 0.1 (June) to 7.6 ± 0.2 (December) (Figure 5D).
Nitrite concentrations were higher in June (H = 2.93; p < 0.05) and had mean values ranging from 0.6 ± 0.4 μmol L−1 (December) to 0.9 ± 0.5 μmol L−1 (June) (Figure 5E). Nitrate concentrations in turn were significantly higher in April (F = 109.39; p < 0.05), with average values ranging from 2.1 ± 0.5 μmol L−1 (September) to 14.4 ± 2.8 μmol L−1 (April). Significant seasonal differences were also recorded for this variable, with higher values during the rainy season (F = 86.92; p < 0.05) (Figure 5F).
Mean orthophosphate concentrations ranged from 0.6 ± 0.1 μmol L−1 (April) to 1.3 ± 0.3 μmol L−1 (September), with significantly higher values observed in September (F = 9.16; p < 0.05) and during the dry season (F = 14.33; p < 0.05) (Figure 5G). In June, the highest silicate concentrations were registered (F = 23.18; p < 0.05). Mean values for this nutrient ranged from 11.2 ± 3.6 μmol L−1 (April) to 97.6 ± 35.2 μmol L−1 (June).
Chlorophyll a concentrations showed averages ranging from 6.3 ± 3.2 mg m−3 (June) to 13.5 ± 6.8 mg m−3 (September), the latter being significantly higher than those recorded in the other months studied (H = 9.36; p < 0.05) (Figure 6).

4. Discussion

The rainfall regime showed a well-defined seasonality, with the fluctuations in hydrological variables such as temperature, salinity, turbidity, pH, and dissolved nutrients strongly influenced by climatological dynamics in the estuaries of the Pará coast. Previous studies conducted in the northern region of Brazil [35,37,70], as well as in the estuary under study [36], also showed this same pattern (strong seasonal variations), demonstrating the importance of this variable on local phytoplanktonic dynamics [71]. Other factors such as marine currents, tidal regimes, and river input are also considered determinants of the distribution of the biota in these Amazonian coastal ecosystems [37,70,72,73,74].
The results obtained demonstrated that Cymatosira belgica contributed significantly to the oysters’ food composition, as evidenced by the abundance analysis (Supplementary Material SII), which showed that it was the most abundant and one of the most frequent species in the studied stomachs during the dry period (September and December). The dissimilarity in the composition of diatom flora in the estuarine waters and the stomach contents of the studied oysters also demonstrated both their ability to remove large amounts of phytoplankton from the environment and to select particles of different sizes, weights, and chemical compositions [75,76,77].
Feeding experiments indicate that oyster larvae (Crassostrea virginica) exhibit a preference for small phytoplanktonic organisms over their larger counterparts in natural estuarine communities. However, within the small phytoplankton fraction (<10 µm), there appears to be minimal selective behavior [78]. For C. gigas, picoplankton (<5 µm), seems not to represent a valuable trophic resource due to its poor carbon resource [79], the same being observed for C. virginica in regard to picocyanobacteria [80]. Research [81], conversely, showed that for C. gigas, preferences can include a range of sizes, with larvae consuming mainly the small and the largest available cells. Nevertheless, the size and shape of the cells apparently do not seem to explain the selective behavior observed. According to other research [78,79,80,81], despite unchanged retention rates, filtration altered assemblage composition, revealing the intricate feeding dynamics in oyster ecosystems.
Other studies confirm the effect of top-down control of phytoplankton by oysters in many subtropical and tropical estuaries worldwide ([16,18,82] and references therein); however, the limits of this control have been debatable for a long time [83]. According to [84], phytoplankton removal by Crassostrea virginica in an oyster nursery in a natural ecosystem can vary on short- (minutes to hours) to long-term (seasonal) timescales, depending on oyster responses to environmental variation, such as diurnal temperature and dissolved oxygen cycles, wind-driven turbulence, and the presence of harmful algae. However, overall, oyster nurseries appear not to have a large impact on the abundance of phytoplankton in the water.
The analyzed oysters were collected from suspended cultivation structures, and it is suggested that the considerable relative abundance and frequency of occurrence of benthic diatoms (tychoplankton) of the genera Actinocyclus, Cocconeis, Cyclotella, Cymatosira, Diploneis, Navicula, and Tryblioptychus in the stomach contents (Supplementary Material SII) is due to the sediment resuspension processes from the bottom to the surface. The resuspension of benthic organisms was also recorded by other authors in estuarine waters of other Amazon coastal environments [85,86,87,88], corroborating this result and demonstrating the importance of high local hydrodynamics on sediment–water column interactions and the organisms that inhabit these ecosystems [71,89]. The occurrence of species from these genera was recorded by other authors in the stomach contents of shellfish [25,90,91,92,93], thus demonstrating their nutritional importance for these filter-feeding animals.
The species C. belgica (benthic marine diatom), considered in the present study the main food source for oysters, is a species capable of forming filamentous colonies of rectangular cells and has small spines in its morphological structure [58,94]. Recognized as a cosmopolitan species, it prefers sandy and muddy environments and occasionally occurs in plankton [52]. The morphological characteristics of this species can be an important factor in the feeding of oysters, as their cells have small dimensions [94] and do not present structures such as setae or prominent spines, which are harmful and interfere negatively in the ingestion and absorption of cells by these filter organisms [95]. Actinocyclus curvalatus was the second-most abundant in gut content of C. gasar in April (rainy period). Species of this genus are small and characterized morphologically by the absence of marginal siliceous spines [96], inhibiting sediment surrounds of freshwater [97], brackish, and marine environments [98]. These morphological and ecological features may have favored its ingestion during the rainy season, a period of greater resuspension of sediments and associated epibenthic diatoms.
The morphospecies Thalassiosira sp. was the third-most abundant, being present in all stomachs analyzed, as well as in samples collected in the estuary. Species of this genus are typical of marine waters, with at least 12 species found in freshwater environments [55,58]. However, although the identification of organisms of this species is often associated with the need to use scanning electron microscopy (SEM), the identified species may possibly come from coastal waters, since the waters in the studied environment ranged from mesohaline (5–18) to polyhaline (18–30) during the study period (see [99]). The organisms of this genus reached higher relative abundance during the rainy months, suggesting a greater contribution of euryhaline species in this period. The greater availability of silicate, nitrite, and nitrate in the rainy season may also have favored their development and consequently their high density. Thalassiosira is a genus of centric, cosmopolitan diatoms consisting of discoid, solitary, or colonial cells held together by valves that form separated or grouped chains in mucilage masses [50,58]. These structural characteristics suggest that they can be easily ingested by oysters, as reported by other authors in previous studies on the stomach contents of bivalves [100]. Nutritionally, species of this genus are rich in lipids and carbohydrates [101], components essential for the growth and reproduction of oysters [102].
The pennate diatom Thalassionema frauenfeldii, the fourth-most abundant in the composition of gut content of oysters, occurred in both seasonal periods (Supplementary Material SII). However, high contributions were recorded during the dry period, since it is a species typical of pelagic marine environments [55], preferring more saline waters, as observed in this seasonal period in the present study. This organism has a solitary or colonial life habit (star or fan shape), with elongated cells surrounded by tiny spines [53]. Like Cymatosira belgica and Thalassiosira sp., Thalassionema frauenfeldii does not have ornamentations considered harmful to oysters, which favors their ingestion, as recorded for representatives of this genus in previous studies developed in other estuarine and marine ecosystems [25].
Tychoplankton—benthic organisms occasionally found in plankton due to circumstances like disturbances or environmental changes (casual plankton)—and marine species Tryblioptychus cocconeiformis [55] was present in the stomach contents analyzed during all months of the study (Supplementary Material SII). Water turbidity in the rainy season and high salinity values in the dry season may have favored the occurrence of this species in both seasonal periods. The morphological characteristics of this organism, such as tangentially wavy circular and elliptical valves and the absence of setae and thorns [103], can be considered attributes that contribute to their ingestion by oysters. A study by [92] corroborates not only the occurrence of this species in the food composition of oysters of the genus Crassostrea but also its greater contribution in the months of the dry period, which according to the author is directly related to the highest salinity values recorded in their study.
The cluster analysis corroborated the accentuated seasonality recorded by other authors throughout the Amazon estuaries (see references above). The group represented by samples from the estuarine environment was clearly divided into two different subgroups: the months of the dry period (2a) and the rainy period (2b). The formation of these groups was governed by the contribution of different species, which are adapted to different environmental conditions resulting from local seasonality. Group 1 showed a different pattern, with samples of the dry period joining together with samples from June (rainy period), thus suggesting that gut content of C. gasar is not necessarily affected by seasonality of diatom composition in the environment. This result supports the suggestion that C. gasar selectively feeds on the diatoms present in the estuary.

5. Conclusions

Recognizing the role of diatoms as a key food source for Crassostrea gasar can enhance sustainable aquaculture practices. By identifying diatoms as an essential nutrient for this species, aquaculture systems can be adapted to optimize their availability, ensuring better growth and health of oysters. This approach can also guide the development of integrated farming systems, such as multitrophic aquaculture, where diatoms are cultivated alongside oysters, creating a sustainable ecosystem, reducing the dependency on artificial feeds, minimizing environmental impact, and promoting biodiversity. These insights also support more efficient resource management and the long-term sustainability of oyster farming in Amazon estuarine environments, as well as along coastal ecosystems worldwide.
Our results further indicate that cultivated oysters feed on diatoms identified in the estuary with selectivity in the ingestion process, as the main species recorded in the gut contents were not similar to the most abundant and frequent species found in the estuary during the same months of the present study. These findings highlight the importance that diatoms possess as a primary food source for Crassostrea gasar oysters. They also emphasize the necessity for further research into other microalgae groups, such as dinoflagellates, and additional organisms that may also be selectively consumed by these oysters. Investigating the potential dietary preferences could provide valuable information and enhance our understanding of their nutritional ecology and optimize aquaculture practices.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/limnolrev25020018/s1, Supplementary Material SI—Permanent slide preparation protocol. Supplementary Material SII—Relative abundance (RA%) and frequency of occurrence (FO%) of diatoms present in the stomach contents of oysters collected in the different months studied. Supplementary Material SIII—Relative abundance (RA%) and frequency of occurrence (FO%) of the diatoms identified in the estuary of the Emboraí Velho in the different months and seasonal periods studied.

Author Contributions

Conceptualization, B.d.F.O.d.S., L.C.C.P., and R.M.d.C.; data curation, B.d.F.O.d.S.; formal analysis, B.d.F.O.d.S., A.R.G.d.O., J.V.d.M.S.P., and B.R.P.d.S.; funding acquisition, R.M.d.C.; investigation, B.d.F.O.d.S., A.R.G.d.O., J.V.d.M.S.P., B.R.P.d.S., L.C.C.P., and R.M.d.C.; methodology, B.d.F.O.d.S., A.R.G.d.O., J.V.d.M.S.P., B.R.P.d.S., R.L.M.d.C.P., and L.C.C.P.; project administration, R.M.d.C.; software, R.L.M.d.C.P.; supervision, R.M.d.C.; validation, B.d.F.O.d.S.; writing—original draft, B.d.F.O.d.S., A.R.G.d.O., J.V.d.M.S.P., B.R.P.d.S., R.L.M.d.C.P., L.C.C.P., and R.M.d.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Conselho Nacional de Desenvolvimento Científico (425872/2016-5, 9491/2018-5, 314037/2021-7, 311782/2017-5, 314040/2021-8) and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (88881.736742/2022-01).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data will be available on request.

Acknowledgments

This study was financed by the National Council of Technological and Scientific Development (CNPq, Brazil; 425872/2016-5) and in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES). The first author is grateful to CAPES for the receipt of a scholarship—Finance Code 001. Pereira LCC (309491/2018-5 and 314037/2021-7) and Costa RM (311782/2017-5 and 314040/2021-8) would also like to thank CNPq and CAPES (88881.736742/2022-01) for their research grants.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Mitra, A.; Flynn, K.J. Modelling mixotrophy in harmful algal blooms: More or less the sum of the parts? J. Mar. Syst. 2010, 83, 158–169. [Google Scholar] [CrossRef]
  2. Harris, R.; Wiebe, P.; Lenz, J.; Skjoldal, H.R.; Huntley, M. ICES Zooplankton Methodology Manual; Academic Press: Cambridge, MA, USA, 2000. [Google Scholar]
  3. Bere, T. Ecological preferences of benthic diatoms in a tropical river system in São Carlos-SP, Brazil. Trop. Ecol. 2014, 55, 47–61. [Google Scholar]
  4. Mattei, F.; Buonocore, E.; Franzese, P.P.; Scardi, M. Global assessment of marine phytoplankton primary production: Integrating machine learning and environmental accounting models. Ecol. Model. 2021, 45, 109578. [Google Scholar] [CrossRef]
  5. Sharoni, S.; Halevy, I. Geologic controls on phytoplankton elemental composition. Proc. Natl. Acad. Sci. USA 2021, 119, e2113263118. [Google Scholar] [CrossRef]
  6. Herrera, J.S.; Fernández, D.R. Uso potencial de microalgas para mitigar los efectos de las emisiones de dióxido de carbono. Rev. Invest. 2017, 10, 153–164. [Google Scholar] [CrossRef]
  7. Cavan, E.L.; Hill, S.L. Commercial fishery disturbance of the global ocean biological carbo. Glob. Chang. Biol. 2021, 28, 1212–1221. [Google Scholar] [CrossRef]
  8. Antelo, F.S.; Anschau, A.; Costa, J.A.; Kalil, S.J. Extraction and purification of C-phycocyanin from Spirulina platensis in conventional and integrated aqueous two-phase systems. J. Braz. Chem. Soc. 2010, 21, 921–926. [Google Scholar] [CrossRef]
  9. Bastos, P.; Vieira, G.C.; dos Reis, I.M.M.; Costa, R.L.; Lopes, G.R. Comportamento alimentar de paralarvas do polvo Octopus vulgaris Tipo II (Cuvier, 1797) alimentadas com artêmia enriquecida com microalgas e suplementada com DHA. Arq. Bras. Med. Vet. Zootec. 2018, 70, 628–632. [Google Scholar] [CrossRef]
  10. Cardoso, C.; Gomes, R.; Rato, A.; Joaquim, S.; Machado, J.; Gonçalves, J.F.; Afonso, C. Elemental composition and bioaccessibility of farmed oysters (Crassostrea gigas) fed different ratios of dietary seaweed and microalgae during broodstock conditioning. Food Sci. Nutr. 2019, 7, 2495–2504. [Google Scholar] [CrossRef]
  11. Silva, O.L.L.; Veríssimo, S.M.M.; Rosa, A.M.B.P.; Iguchi, Y.B.; Nunes, E.S.C.L.; Moraes, C.M.; Cordeiro, C.A.M.; Xavier, D.A.; Pinto, A.S.O.; Joele, M.R.S.P.; et al. Effect of environmental factors on microbiological quality of oyster farming in Amazon estuaries. Aquac. Rep. 2020, 18, 100437. [Google Scholar] [CrossRef]
  12. FAO—Food and Agriculture Organization. The State of World Fisheries and Aquaculture. Sustainability in Action. 2020. Available online: http://www.fao.org/documents/card/en/c/ca9229en/ (accessed on 1 March 2021).
  13. Andrade, G.J.P.O. Maricultura em Santa Catarina: A cadeia produtiva gerada pelo esforço coordenado de pesquisa, extensão e desenvolvimento tecnológico. Rev. Eletr. Exten. 2016, 13, 204–217. [Google Scholar] [CrossRef]
  14. Richard, S.F.; Denise, L.B.; Roger, I.E.N.; Kemp, W.M.; Luckenbach, M. Effects of oyster population restoration strategies on phytoplankton biomass in Chesapeake Bay: A flexible modeling approach. Mar. Ecol. Prog. Ser. 2007, 336, 43–67. [Google Scholar]
  15. Fiddy, S.P.; Priscilla, D.; Laurent, B.; Gastineau, R.; Jacquette, B.; Figiel, A.; Morançais, M.; Tremblay, R.; Mouget, J.-L.; Cognie, B. Cell size-based, passive selection of the blue diatom Haslea ostrearia by the oyster Crassostrea gigas. J. Molluscan Stud. 2017, 83, 145–152. [Google Scholar]
  16. Porter, E.T.; Franz, H.; Lacouture, R. Impact of Eastern oyster Crassostrea virginica biodeposit resuspension on the seston, nutrient, phytoplankton, and zooplankton dynamics: A mesocosm experiment. Mar. Ecol. Prog. Ser. 2018, 586, 21–40. [Google Scholar] [CrossRef]
  17. Han, D.Y.; Chen, Y.; Zhang, C.L.; Ren, Y.; Xue, Y.; Wan, R. Evaluating impacts of intensive shellfish aquaculture on a semi-closed marine ecosystem. Ecol. Model. 2017, 359, 193–200. [Google Scholar] [CrossRef]
  18. Luo, X.; Pan, K.; Wang, L.; Li, M.; Li, T.; Pang, B.; Kang, J.; Fu, J.; Lan, W. Anthropogenic Inputs Affect Phytoplankton Communities in a Subtropical Estuary. Water 2022, 14, 636. [Google Scholar] [CrossRef]
  19. Espinosa, E.P.; Barillé, L.; Allam, B. Use of encapsulated live microalgae to investigate pre-ingestive selection in the oyster Crassostrea gigas. J. Exp. Mar. Biol. Ecol. 2007, 343, 118–126. [Google Scholar] [CrossRef]
  20. Sipaúba-Tavares, L.H.; Rocha, O. Production of Plankton (Phytoplankton and Zooplankton) for Feeding Aquatic Organisms; Rima: São Carlos, Brazil, 2003; 106p. [Google Scholar]
  21. Batista, A.P.; Gouveia, L.; Bandarra, N.M.; Franco, J.M.; Raymundo, A. Comparação de perfis de biomassa microalgal como novo ingrediente funcional para produtos alimentícios. Algal Res. 2013, 2, 164–173. [Google Scholar] [CrossRef]
  22. Kumar, K.; Dasgupta, C.N.; Das, D. Cell growth kinetics of Chlorella sorokiniana and nutritional values of its biomass. Bioresour. Technol. 2014, 167, 358–366. [Google Scholar] [CrossRef]
  23. Bennamoun, L.; Afzal, M.T.; Léonard, A. Drying of alga as a source of bioenergy feedstock and food supplement—A review. Renew. Sustain. Energy Rev. 2015, 50, 1203–1212. [Google Scholar] [CrossRef]
  24. Cheng, P.; Zhou, C.; Chu, R.; Chang, T.; Xu, J.; Ruan, R.; Yan, X. Effect of microalgae diet and culture system on the rearing of bivalve mollusks: Nutritional properties and potential cost improvements. Algal Res. 2020, 51, 102076. [Google Scholar] [CrossRef]
  25. Christo, S.W.; Ivachuk, C.S.; Veroneze, F.; Ferreira-Jr, A.L.; Absher, T.M. Descrição alimentar e estágio de maturação de Crassostrea brasiliana comercializadas no mercado municipal de Paranaguá, Paraná, Brasil. Braz. J. Aquat. Sci. Technol. 2015, 19, 1–9. [Google Scholar] [CrossRef]
  26. IBGE, Instituto Brasileiro de Geografia e Estatística. 2020. Available online: https://cidades.ibge.gov.br/brasil/pa/pesquisa/18/16458 (accessed on 15 February 2021).
  27. Herbert, R.J.; Humphreys, J.; Davies, C.J.; Roberts, C.; Fletcher, S.; Crowe, T.P. Ecological impacts of non-native Pacific oysters (Crassostrea gigas) and management measures for protected areas in Europe. Biodivers. Conserv. 2016, 25, 2835–2865. [Google Scholar] [CrossRef]
  28. Horodesky, A.; Castilho-Westphal, G.G.; Cozer, N.; Rossi, V.G.; Ostrensky, A. Effects of salinity on the survival and histology of oysters Crassostrea gasar (Adanson, 1757). Biosci. J. 2019, 35, 586–597. [Google Scholar] [CrossRef]
  29. Carrasco, M.F.; Venerus, L.A.; Weiler, N.E.; Barón, P.J. Effects of different intertidal hard substrates on the recruitment of Crassostrea gigas. Hydrobiologia 2019, 827, 263–275. [Google Scholar] [CrossRef]
  30. Macedo, A.R.G.; Sühnel, S.; Cordeiro, C.A.M.; Nunes, E.S.C.L.; Sousa, N.C.; Couto, M.V.S.; Fujimoto, R.Y. Growth and survival of the native oyster Crassostrea gasar cultured under different stocking densities in two grow-out systems in tropical climate. Arq. Bras. Med. Veterinária Zootecnia 2021, 73, 893–901. [Google Scholar] [CrossRef]
  31. Silva, O.L.L.; Macedo, A.R.G.; Nunes, E.S.C.L.; Campos, K.D.; Araújo, L.C.C.; Tiburço, X.; Pinto, A.S.O.; Joele, M.R.S.P.; Ferreira, M.S.; Silva, A.C.R.; et al. Effect of environmental factors on the fatty acid profiles and physicochemical composition of oysters (Crassostrea gasar) in Amazon estuarine farming. Aquac. Res. 2020, 51, 2336–2348. [Google Scholar] [CrossRef]
  32. Varela, E.S.; Beasley, C.R.; Schneider, H.; Sampaio, I.; Marques-Silva, N.D.S.; Tagliaro, C.H. Molecular phylogeny of mangrove oysters (Crassostrea) from Brazil. J. Molluscan Stud. 2007, 73, 229–234. [Google Scholar] [CrossRef]
  33. Melo, A.G.C.; de Varela, E.S.; Beasley, C.R.; Schneider, H.; Sampaio, I.; Gaffney, P.M.; Tagliaro, C.H. Molecular identification, phylogeny and geographic distribution of Brazilian mangrove oysters (Crassostrea). Genet. Mol. Biol. 2010, 33, 564–572. [Google Scholar] [CrossRef]
  34. Galvão, M.N.; Pereira, O.M.; Machado, I.C.; Henriques, M.B. Estuário de Cananéia, SP (25 S; 48 W). Bol. Inst. Pesca 2000, 26, 147–162. [Google Scholar]
  35. Andrade, M.P.; Magalhães, A.; Pereira, L.C.C.; Flores-Montes, M.J.; Pardal, E.C.; Andrade, T.P.; Costa, R.M. Effects of a La Niña event on hydrological patterns and copepod community structure in a shallow tropical estuary (Taperaçu, Northern Brazil). J. Mar. Syst. 2016, 164, 128–143. [Google Scholar] [CrossRef]
  36. Barros, F.A.L.; Andrade, M.P.; Silva, T.R.C.; Pereira, L.C.C.; Costa, R.M. Composição e mudanças espaciais e temporais da diversidade e densidade do mesozooplâncton em um estuário amazônico (Emboraí Velho, Pará, Brasil). Bol. Mus. Para. Emílio Goeldi Sér. Ciênc. Nat. 2019, 14, 307–330. [Google Scholar] [CrossRef]
  37. Santos, A.S.D.; Sousa, P.H.C.; Melo, N.F.A.C.D.; Mesquita, K.F.C.; Pereira, J.A.R.; Santos, M.D.L.S. Distribuição espaçotemporal dos parâmetros abióticos e bióticos em um Estuário Amazônico (Brasil). Arqu. Ciênc. Mar. 2020, 53, 82–97. [Google Scholar] [CrossRef]
  38. Sampaio, D.S.; Tagliaro, C.H.; Schneider, H.; Beasley, C.R. Oyster culture on the Amazon mangrove coast: Asymmetries and advances in an emerging sector. Rev. Aquac. 2019, 11, 88–104. [Google Scholar] [CrossRef]
  39. Macedo, A.R.G.; Silva, A.D.S.; Sousa, N.D.C.; Silva, F.D.; Barros, F.A.L.; Suhnel, S.; Silva, O.L.L.; Nunes, E.S.C.L.; Cordeiro, C.A.M.; Fujimoto, R.Y. Crescimento e viabilidade econômica da ostra nativa Crassostrea gasar (Adanson, 1757) cultivadas em dois sistemas. Custos Agrone. Online 2020, 16, 282–312. [Google Scholar]
  40. Reis, R.D.S.C.; Brabo, M.F.; Rodrigues, R.P.; Campelo, D.A.V.; Veras, G.C.; Santos, M.A.S.; Bezerra, A.S. Aspectos socioeconômicos e produtivos de um empreendimento comunitário de ostreicultura em uma reserva extrativista marinha no litoral amazônico, Pará, Brasil. Int. J. Dev. Res. 2020, 10, 35072–35077. [Google Scholar]
  41. Reis, R.D.S.C.; Silva Costa, A.T.; Rodrigues, R.P.; Campelo, D.A.V.; Veras, G.C.; Brabo, M.F. Aspectos tecnológicos de um empreendimento de ostreicultura em uma reserva extrativista marinha na Amazônia. Rev. Agro. Meio Amb. 2020, 13, 1263–1279. [Google Scholar] [CrossRef]
  42. Sousa, J.A.; Cunha, K.N.; Nunes, Z.M.P. Influence of seasonal factors on the quality of a tidal creek on the Amazon coast of Brazil. J. Coast. Res. 2013, 65, 129–134. [Google Scholar] [CrossRef]
  43. MMA—Ministério do Meio Ambiente. 2019. Available online: https://www.gov.br/mma/pt-br (accessed on 5 July 2019).
  44. Barbosa, I.C.C.; Müller, R.C.S.; Alves, C.N.; Berrêdo, J.F.; Souza Filho, P.W. Composição Química de Sedimento de Manguezal do Estuário Bragantino (PA)-Brasil. Rev. Virtual Quim. 2015, 7, 1087–1101. [Google Scholar] [CrossRef]
  45. Christensen, T. Alger i Naturen og i Laboratoriet; Københavns Universitets, Institut for Sporeplanter: København, Denmark, 1988; 137p. [Google Scholar]
  46. Hasle, R.; Fryxell, G.A. Diatoms: Cleaning and mounting for light and electron microscopy. Trans. Am. Micros. Soc. 1970, 89, 469–474. [Google Scholar] [CrossRef]
  47. Simonsen, R. The Diatom Plankton of the Indian Ocean Expedition of R/V “Meteor” 1964–1965. Meteor Forsc. Reihe D Biol. 1974, 19, 1–107. [Google Scholar]
  48. Müller-Melchers, F.C.; Ferrando, H.J. Técnica para el estudio de las diatomeas. Bol. Inst. Oceanográfico 1956, 7, 151–160. [Google Scholar] [CrossRef]
  49. Utermöhl, H. Zur Vervollkommung der Quantitativen Phytoplankton-Methodik; Schweizerbart: Stuttgart, Germany, 1958; 38p. [Google Scholar]
  50. Round, F.E.; Crawford, R.M.; Mann, D.G. The Diatoms: Biology and Morphology of the Genera; Cambridge University Press: Cambridge, UK, 1990. [Google Scholar]
  51. Hasle, G.R.; Syvertsen, E.E.; Steidinger, K.; Tangen, K.; Tomas, C. Identificação de Diatomáceas e Dinoflagelados Marinhos; Elsevier: Amsterdam, The Netherlands, 1996. [Google Scholar]
  52. Tomas, C.R. Identifying Marine Phytoplankton; Elsevier: Cambridge, MA, USA; Academic Press: Cambridge, MA, USA, 1997. [Google Scholar]
  53. Cupp, E.E. Marine plankton diatoms of the west coast of North America. In Bulletin of the Scripps Institution of Oceanography; University of California Press: Berkeley, CA, USA, 1943. [Google Scholar]
  54. Silva-Cunha, M.G.G.; Eskinazi-Leça, E. Catálogo das Diatomáceas (Bacillariophyceae) da Plataforma Continental de Pernambuco; SUDENE: Recife, Brazil, 1990. [Google Scholar]
  55. Moreira Filho, H.; Valente-Moreira, I.M.; Souza-Mosimann, R.M.D.; Cunha, J.A. Avaliação florística e ecológica das diatomáceas (Chrysophyta, Bacillariophyceae) marinhas e estuarinas nos Estados do Paraná, Santa Catarina e Rio Grande do Sul. Estu. Biol. 1990, 25, 5–48. [Google Scholar]
  56. Moreira, I.M.V.; Filho, H.M.; Cunha, J.A. Diatomáceas (Chrysophyta, Bacillariophyceae) em biótopo de manguezal do rio Perequê, em Pontal do Sul, Paranaguá, Estado do Paraná, Brasil. Acta Biol. Paran. 1994, 23, 55–72. [Google Scholar]
  57. Souza-Mosimann, R.M.; Laudares-Silva, R.; Roos-Oliveira, A.M. Diatomáceas (Bacillariophyta) da Baía Sul, Florianópolis, Santa Catarina, Brasil, uma nova contribuição. INSULA Rev. Botân. 2001, 30, 75–106. [Google Scholar]
  58. Guiry, M.D.; Guiry, G.M. AlgaeBase. World-Wide Electronic Publication. National University of Ireland, Galway. 2021. Available online: http://www.algaebase.org (accessed on 3 April 2021).
  59. Strickland, J.D.H.; Parsons, T.R. A Practical Handbook of Seawater Analysis; Bulletin Fisheries Research Board of Canada: Ottawa, ON, Canada, 1972; pp. 1–211. [Google Scholar]
  60. Grasshoff, K.; Ehrhardt, M.; Kremling, K. Methods of Seawater Analysis. Second, Revised and Extended Edition; Verlag Chemie: Weinheim, Germany, 1983. [Google Scholar]
  61. Parsons, T.R.; Strickland, J.D.H. Discussion of spectrophotometric determination of marine-plant pigments, with revised equations for ascertaining chlorophylls and carotenoids. J. Mar. Res. 1963, 21, 155–163. [Google Scholar]
  62. UNESCO. Determination of Photosynthetic Pigments in Sea-Water; Imprimerie Rolland: Paris, France, 1966.
  63. Koening, M.L.; Lira, C.G.D. O gênero Ceratium Schrank (Dinophyta) na plataforma continental e águas oceânicas do Estado de Pernambuco, Brasil. Acta Bot. Bras. 2005, 19, 391–397. [Google Scholar] [CrossRef]
  64. Matteucci, S.D.; Colma, A. Metodología para el Estudio de la Vegetación; Secretaria General de la Organización de los Estados Americanos: Washington, DC, USA, 1982. [Google Scholar]
  65. Conover, W.J. Estatística não Paramétrica Prática; John Wiley & Sons: Hoboken, NJ, USA, 1998. [Google Scholar]
  66. Underwood, A.J. Experiments in Ecology: Their Logical Design and Interpretation Using Analysis of Variance; Cambridge University Press: Cambridge, UK, 1997. [Google Scholar]
  67. Zar, J.H. Biostatistical Analysis; Pearson: Upper Saddle River, NJ, USA, 1999. [Google Scholar]
  68. Clarke, K.R.; Warwick, R.M. Change in Marine Communities: An Approach to Statistical Analysis and Interpretation; Plymouth Marine Laboratory: Plymouth, UK, 1994. [Google Scholar]
  69. NOAA National Data Buoy Center. Station 41041 Historical Data. 2023. Available online: https://www.ndbc.noaa.gov/station_history.php?station=41041 (accessed on 6 March 2023).
  70. Souza, E.R.O.; Abrunhosa, F.A.; Martinelli-Lemos, J.M. Distribuição da densidade larval do caranguejo Petrolisthes armatus (Gibbes, 1850) (Decapoda: Porcellanidae) no estuário de Curuçá, Amazônia brasileira. Bio. Amaz. 2019, 9, 27–31. [Google Scholar]
  71. Oliveira, A.R.G.; Odebrecht, C.; Pereira, L.C.C.P.; Costa, R.M. Phytoplankton variation in an Amazon estuary with emphasis on the diatoms of the Order Eupodiscales. Ecohydrol. Hydrobi. 2022, 22, 55–74. [Google Scholar] [CrossRef]
  72. Magalhães, A.; Nobre, D.S.B.; Bessa, R.S.C.; Pereira, L.C.C.; Costa, R.M. Diel variation in the productivity of Acartia lilljeborgii and Acartia tonsa (Copepoda: Calanoida) in a tropical estuary (Taperaçu, Northern Brazil). J. Coast. Res. 2013, 65, 1164–1169. [Google Scholar] [CrossRef]
  73. Abreu, C.H.M.D.; Cunha, A.C. Qualidade da água e índice trófico em rio de ecossistema tropical sob impacto ambiental. Eng. Sanit. Ambient. 2016, 22, 45–56. [Google Scholar] [CrossRef]
  74. Costa, K.G.; Azevedo, S.S.; Pereira, L.C.C.; Costa, R.M. Variabilidade temporal do zooplâncton no sistema estuarino do Rio Paracauari (Ilha do Marajó, Pará). Trop. Oceanogr. 2018, 46, 53–69. [Google Scholar] [CrossRef]
  75. Jones, A.B.; Perston, N.P.; Dennison, W.C. The efficiency and condition of oysters and macroalgae used as biological filters of shrimp pond effluent. Aquac. Res. 2002, 33, 1–19. [Google Scholar] [CrossRef]
  76. Adite, A.; Sonon1, S.P.; Gbedjissi, G.L. Feeding ecology of the mangrove oyster, Crassostrea gasar (Dautzenberg, 1891) in traditional farming at the coastal zone of Benin, West Africa. Nat. Sci. 2013, 5, 1238–1248. [Google Scholar] [CrossRef]
  77. Costa, L.C.O.; Silva PLHda Abreu, P.C. Biofloc removal by the oyster Crassostrea gasar as a candidate species to an Integrated Multi-Trophic Aquaculture (IMTA) system with the marine shrimp Litopenaeus vannamei. Aquaculture 2021, 540, 736731. [Google Scholar] [CrossRef]
  78. Fritz, L.W.; Lutz, R.A.; Foote, M.A.; van Dover, C.L.; Ewart, J.W. Selective feeding and grazing rates of oyster (Crassostrea virginica) larvae on natural phytoplankton assemblages. Estuaries 1984, 7, 513–518. [Google Scholar] [CrossRef]
  79. Dupuy, C.; Vaquer, A.; Lam-Höai, T.; Rougier, C.; Mazouni, N.; Lautier, J.; Collos, Y.; Le Gall, S. Feeding rate of the oyster Crassostrea gigas in a natural planktonic community of the Mediterranean Thau Lagoon. Mar. Ecol. Prog. Ser. 2000, 205, 171–184. [Google Scholar] [CrossRef]
  80. Weissberg, E.; Glibert, P. Diet of the eastern oyster, Crassostrea virginica, growing in a eutrophic tributary of Chesapeake Bay, Maryland, USA. Aquac. Rep. 2021, 20, 100655. [Google Scholar] [CrossRef]
  81. Cognie, B.; Barillé, L.; Rincé, Y. Selective feeding of the oyster Crassostrea gigas fed on a natural microphytobenthos assemblage. Estuaries 2001, 24, 126–134. [Google Scholar] [CrossRef]
  82. Pan, K.; Lan, W.; Li, T.; Hong, M.; Peng, X.; Xu, Z.; Lio, W.; Jiang, H. Control of phytoplankton by oysters and the consequent impact on nitrogen cycling in a subtropical bay. Sci. Total Environ. 2021, 796, 149007. [Google Scholar] [CrossRef]
  83. Pomeroy, L.R.; D’elia, C.F.; Schaffner, L.C. Limits to top-down control of phytoplankton by oysters in Chesapeake Bay. Mar. Ecol. Prog. Ser. 2006, 325, 301–309. [Google Scholar] [CrossRef]
  84. Li, Y.; Meseck, S.L.; Dixon, M.S.; Rivara, K.; Wikfors, G.H. Temporal Variability in Phytoplankton Removal by a Commercial, Suspended Eastern Oyster Nursery and Effects on Local Plankton Dynamics. J. Shellfish Res. 2012, 31, 1077–1089. [Google Scholar] [CrossRef]
  85. Matos, J.B.; Sodré, D.K.L.; Costa, K.G.; Pereira, L.C.C.; Costa, R.M. Spatial and temporal variation in the composition and biomass of phytoplankton in an Amazonian estuary. J. Coast. Res. 2011, SI64, 1525–1529. [Google Scholar]
  86. Matos, J.B.; Silva, N.I.S.D.; Pereira, L.C.C.; Costa, R.M.D. Caracterização quali-quantitativa do fitoplâncton da zona de arrebentação de uma praia amazônica. Acta Bot. Bras. 2012, 26, 979–990. [Google Scholar] [CrossRef]
  87. Matos, J.B.; Oliveira, S.M.D.; Pereira, L.C.C.; Costa, R.M. Structure and temporal variation of the phytoplankton of a macrotidal beach from the Amazon coastal zone. An. Acad. Bras. Cienc. 2016, 88, 1325–1339. [Google Scholar] [CrossRef]
  88. Cavalcanti, L.F.; Azevedo-Cutrim, A.C.G.; Oliveira, A.L.L.; Furtado, J.A.; Araújo, B.D.O.; Sá, A.K.D.D.S.; Cutrim, M.V.J. Structure of microphytoplankton community and environmental variables in a macrotidal estuarine complex, São Marcos Bay, Maranhão-Brazil. Braz. J. Oceanogr. 2018, 66, 283–300. [Google Scholar] [CrossRef]
  89. Oliveira, A.R.G.; Queiroz, J.B.M.; Pardal, E.E.; Pereira, L.C.C.P.; Costa, R.M. How does the phytoplankton community respond to the effects of La Niña and post-drought events in a tide-dominated Amazon estuary? Aquat. Sci. 2023, 85, 9. [Google Scholar] [CrossRef]
  90. Muñetón-Gómez, M.D.S.; Villalejo-Fuerte, M.; Gárate-Lizarraga, I. Gut content analysis of Anadara tuberculosa (Sowerby, 1833) through histological sections. CICIMAR Oceánides 2010, 25, 143–148. [Google Scholar] [CrossRef]
  91. Dué, A.; Costa, S.M.M.; Silva Filho, E.A.; Guedes, É.A.C. Itens alimentares de Crassostrea rhizophorae (Guilding, 1828) (Bivalvia: Ostreidae) cultivadas em um estuário tropical, no Nordeste do Brasil. Bioikos—Título Não-Corrente 2012, 24, 83–93. [Google Scholar]
  92. Estrada-Gutiérrez, K.M.; Siqueiros-Beltrones, D.A.; Hernández-Almeida, O.U. New records of benthic diatoms (Bacillariophyceae) for Mexico in the Nayarit littoral found in gut contents of Crassostrea corteziensis (Mollusca: Bivalvia). Rev. Mex. Biodiver. 2017, 88, 985–987. [Google Scholar] [CrossRef]
  93. Huang, H.; Chen, S.; Xu, Z.; Wu, Y.; Mei, L.; Pan, Y.; Yan, X.; Zhou, C. Comparative metabarcoding analysis of phytoplankton community composition and diversity in aquaculture water and the stomach contents of Tegillarca granosa during months of growth. Mar. Pollut. Bull. 2023, 187, 114556. [Google Scholar] [CrossRef]
  94. Garcia, M. Taxonomia, morfologia e distribuição de Cymatosiraceae (Bacillariophyceae) nos litorais de Santa Catarina e Rio Grande do Sul. Biot. Neotrop. 2016, 16, e20150139. [Google Scholar]
  95. Affe, H.M.J.; Santana, R.M.C. Fitoplâncton em Áreas de Cultivo de Ostras na Baía de Camamu, Brasil: Investigação da Ocorrência de Microalgas Potencialmente Nocivas; Novas Edições Acadêmicas: London, UK, 2016. [Google Scholar]
  96. Belcher, J.H.; Swale, E.M.F. English freshwater records of Actinocyclus normanii (Greg.) Hustedt (Bacillariophyceae). Br. Phycol. J. 1979, 14, 225–229. [Google Scholar] [CrossRef]
  97. Idei, M.; Osada, K.; Sato, S.; Toyoda, K.; Nagumo, T.; Mann, D.G. Gametogenesis and auxospore development in Actinocyclus (Bacillariophyta). PLoS ONE 2012, 7, e41890. [Google Scholar] [CrossRef]
  98. World Register of Marine Species (WoRMS). An Authoritative Classification and Catalogue of Marine Names. 2020. Available online: https://www.marinespecies.org (accessed on 8 April 2020).
  99. Montagna, P.; Palmer, T.A.; Pollack, J.B. Hydrological Changes and Estuarine Dynamics; Springer: New York, NY, USA, 2012. [Google Scholar]
  100. Kasim, M.; Mukai, H. Food sources of the oyster (Crassostrea gigas) and the clam (Ruditapes philippinarum) in the Akkeshi-ko estuary. Plankton Benthos Res. 2009, 4, 104–114. [Google Scholar] [CrossRef]
  101. Mata, T.M.; Martins, A.A.; Caetano, N.S. Microalgae for biodiesel production and other applications: A review. Renew. Sustain. Energy Rev. 2010, 14, 217–232. [Google Scholar] [CrossRef]
  102. Ren, J.S.; Ross, A.H.; Schiel, D.R. Functional descriptions of feeding and energetics of the Pacific oyster Crassostrea gigas in New Zealand. Mar. Ecol. Prog. Ser. 2000, 208, 119–130. [Google Scholar] [CrossRef]
  103. Garibotti, I.A.; Ferrario, M.E.; Almandoz, G.O.; Castaños, C. Ciclo sazonal de diatomáceas na Baía de Anegada, sistema estuarino de El Rincón, Argentina. Diatom Res. 2011, 26, 227–241. [Google Scholar] [CrossRef]
Figure 1. Geographic location of the study area: (a) South America, (b) location of the Emboraí Velho River estuary on the northern coast of Pará, highlighting the state capital, (c) location of the estuary, showing the sampling station (black circle) where oyster cultivation area is found.
Figure 1. Geographic location of the study area: (a) South America, (b) location of the Emboraí Velho River estuary on the northern coast of Pará, highlighting the state capital, (c) location of the estuary, showing the sampling station (black circle) where oyster cultivation area is found.
Limnolrev 25 00018 g001
Figure 2. Historical average rainfall for the last 40 years (1978–2018) and for the year 2019. The arrows indicate the months of samplings.
Figure 2. Historical average rainfall for the last 40 years (1978–2018) and for the year 2019. The arrows indicate the months of samplings.
Limnolrev 25 00018 g002
Figure 3. Cluster analysis and relative abundance of the principal diatoms identified in the gut content and the estuarine environment during the study.
Figure 3. Cluster analysis and relative abundance of the principal diatoms identified in the gut content and the estuarine environment during the study.
Limnolrev 25 00018 g003
Figure 4. Mean variation (± standard deviation) of the total density of diatoms in the Emboraí Velho Estuary.
Figure 4. Mean variation (± standard deviation) of the total density of diatoms in the Emboraí Velho Estuary.
Limnolrev 25 00018 g004
Figure 5. Monthly variation (± standard deviation) of abiotic variables: temperature (A), salinity (B), turbidity (C), pH (D), and concentrations of dissolved nutrients NO2 (E), NO3 (F), PO43− (G) and SiO2 (H) during the year 2019 in the estuary of Emboraí Velho. Note difference in scales.
Figure 5. Monthly variation (± standard deviation) of abiotic variables: temperature (A), salinity (B), turbidity (C), pH (D), and concentrations of dissolved nutrients NO2 (E), NO3 (F), PO43− (G) and SiO2 (H) during the year 2019 in the estuary of Emboraí Velho. Note difference in scales.
Limnolrev 25 00018 g005
Figure 6. Mean variation (± standard deviation) of chlorophyll a concentrations in the months of April, June, September, and December 2019 in the estuary of Emboraí Velho.
Figure 6. Mean variation (± standard deviation) of chlorophyll a concentrations in the months of April, June, September, and December 2019 in the estuary of Emboraí Velho.
Limnolrev 25 00018 g006
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

de Fátima Oliveira da Silva, B.; de Oliveira, A.R.G.; de Moraes Souza Pinheiro, J.V.; da Silva, B.R.P.; da Costa Pereira, R.L.M.; Pereira, L.C.C.; da Costa, R.M. Diatoms of Gut Content of Crassostrea gasar (Bivalvia: Ostreidae) (Adanson, 1757) Cultivated in an Amazonian Estuary (Emboraí Velho, Northern Brazil). Limnol. Rev. 2025, 25, 18. https://doi.org/10.3390/limnolrev25020018

AMA Style

de Fátima Oliveira da Silva B, de Oliveira ARG, de Moraes Souza Pinheiro JV, da Silva BRP, da Costa Pereira RLM, Pereira LCC, da Costa RM. Diatoms of Gut Content of Crassostrea gasar (Bivalvia: Ostreidae) (Adanson, 1757) Cultivated in an Amazonian Estuary (Emboraí Velho, Northern Brazil). Limnological Review. 2025; 25(2):18. https://doi.org/10.3390/limnolrev25020018

Chicago/Turabian Style

de Fátima Oliveira da Silva, Barbara, Antonio Rafael Gomes de Oliveira, João Victor de Moraes Souza Pinheiro, Brenda Ribeiro Padilha da Silva, Remo Luan Marinho da Costa Pereira, Luci Cajueiro Carneiro Pereira, and Rauquírio Marinho da Costa. 2025. "Diatoms of Gut Content of Crassostrea gasar (Bivalvia: Ostreidae) (Adanson, 1757) Cultivated in an Amazonian Estuary (Emboraí Velho, Northern Brazil)" Limnological Review 25, no. 2: 18. https://doi.org/10.3390/limnolrev25020018

APA Style

de Fátima Oliveira da Silva, B., de Oliveira, A. R. G., de Moraes Souza Pinheiro, J. V., da Silva, B. R. P., da Costa Pereira, R. L. M., Pereira, L. C. C., & da Costa, R. M. (2025). Diatoms of Gut Content of Crassostrea gasar (Bivalvia: Ostreidae) (Adanson, 1757) Cultivated in an Amazonian Estuary (Emboraí Velho, Northern Brazil). Limnological Review, 25(2), 18. https://doi.org/10.3390/limnolrev25020018

Article Metrics

Back to TopTop