1. Introduction
Blue crabs (
Callinectes sapidus) are a keystone species of significant ecological and economic importance along the East and Gulf Coasts of North America. The blue crab fishery ranks as the second largest in the world, spanning 14 U.S. east coast states and driven by growing commercial and recreational demand [
1].
C. sapidus demonstrates remarkable resilience, tolerating a broad range of water quality conditions and displaying opportunistic behaviors that enable adaptation to diverse habitats [
2]. The Delaware Inland Bays (DIB), comprising three systems including Rehoboth Bay, Little Assawoman Bay and Indian River Bay, generates approximately
$4.5 million annually and is a vital region for seafood production [
3].
Environmental and anthropogenic factors, such as excess nutrients from agricultural runoff, atmospheric pollution, sewage overflow, and stormwater runoff, have degraded habitats and compromised water quality, especially in the Mid-Atlantic region [
4,
5]. In 2022, the U.S. Environmental Protection Agency rated water quality in the Inland Bays as “poor” [
6]. Poor water quality can impact
C. sapidus directly by affecting habitat suitability and indirectly by promoting pathogen proliferation, such as
Callinectes sapidus reovirus 1 (CsRV1). Elevated pathogen presence may lead to behavioral changes and mortality in crabs, including lethargy, anorexia, trembling, and paralysis, which can threaten the sustainability of blue crab populations [
7,
8]. CsRV1 has been detected in other U.S. coastal regions, with studies employing RT-qPCR techniques [
9,
10]. These studies revealed variations in prevalence across different geographic areas, highlighting the importance of monitoring this virus in specific regions. In aquaculture settings, this virus has been found to affect up to 50% of diseased crabs, with lower prevalence in healthy individuals [
8,
11]. Despite the high prevalence in neighboring bays, CsRV1 has not yet been confirmed within Rehoboth Bay, making its monitoring crucial for sustainable fisheries management.
Water quality monitoring faces significant challenges, as an estimated 80,000 chemicals enter our water systems from everyday use [
12]. Degradation and eutrophication impacts, specifically within the DIB, scored poorly for water quality for seagrass reestablishment [
13], which is the dominant habitat for
C. sapidus during multiple life stages. Alkalinity and calcium hardness are key parameters for the development of exoskeletal calcification in seawater organisms, including
C. sapidus [
14]. Chlorophyll-a was assessed in relation to the production of dense algae blooms, such as the ones Rehoboth Bay exhibits, that can block sunlight from reaching submerged aquatic vegetation (SAV), which contributes to habitat loss, impacting nurseries, feeding grounds, and refuge from predators [
15]. Dissolved oxygen (DO) is one of the most critical water quality parameters to monitor in relation to
C. sapidus, as it is essential for molting and survival [
16]. Coastal hypoxia has multiple implications, with eutrophication and anthropogenic factors being the two primary causes [
17,
18]. Salinity is a critical environmental factor that influences the distribution and reproduction of the species [
19,
20].
C. sapidus is considered a euryhaline species and is primarily found in estuaries and lagoons, tolerating a wide range of salinities [
21]. Global temperatures are rising at an accelerated rate, a trend that is having profound effects on ecosystems worldwide. As temperatures increase, the life history and biological functions of various marine organisms, including echinoderms, are being significantly impacted [
22].
Callinectes sapidus is considered a hardy species capable of tolerating a wide range of temperatures, including prolonged exposure to low temperatures during overwintering by burrowing into sediments and entering a state of reduced metabolic activity. However, previous studies indicate that approximately 24 °C represents a lower threshold for optimal physiological performance and active metabolic processes, rather than a minimum survival temperature [
23].
Nitrite (NO
2−) is essential to monitor for
C. sapidus, as nitrite is toxic to
C. sapidus at low levels and should be maintained at 0.5–1 ppm [
16]. At low levels, this will cause the crab to suffocate due to the decreased ability of the blood to transport oxygen [
16].
Previous research indicates that environmental factors, including water temperature and habitat conditions, influence CsRV1 prevalence and distribution [
9,
24]. These studies demonstrate the importance of understanding how water quality and habitat characteristics affect the spread and impact of the virus on crab populations. Monitoring water quality, population dynamics, and pathogen presence in Rehoboth Bay will help determine whether the local environment remains conducive to healthy
C. sapidus populations despite ongoing environmental degradation. The objectives of this study were to (1) monitor the population distribution and characteristics of
C. sapidus from the three different habitat types in Rehoboth Bay, (2) determine whether CsRV1 was present in sampled crabs, and (3) monitor environmental parameters to determine whether conditions were optimal for sustaining
C. sapidus populations in Rehoboth Bay, Delaware, USA.
2. Materials and Methods
2.1. Study Sites
This study was conducted from early June to late October in 2022–2023. Six study sites were selected within Rehoboth Bay, Delaware, representing three site types: ongoing oyster aquaculture sites, artificial oyster reefs, and control sites with little to no physical structure (
Figure 1). The oyster aquaculture and artificial reef sites were intentionally selected to represent established, spatially separated examples of active and restored oyster habitats within the bay, allowing for comparison of ecological conditions across different forms of oyster-related structure. One site of each type was located on both the west and east sides of Rehoboth Bay to account for potential spatial variation in environmental conditions (e.g., hydrodynamics, salinity gradients, and surrounding land use). The oyster aquaculture sampling sites were located at Sally’s Cove (SC; 38.64877° N, 75.12870° W) on the west side and Rehoboth Bay Oyster Company (RBOC; Rehoboth Bay, DE, USA, 38.39549° N, 75.04797° W) on the east side. These locations were selected because they are actively managed aquaculture sites with established oyster stocking densities and infrastructure, providing representative examples of commercial oyster operations in the bay. The artificial reef sites were located at Camp Arrowhead (CAH; 38.65430° N, 75.12589° W) on the west side and Big Bacon Reef (BBR; 38.38007° N, 75.04866° W) on the east side. These reefs were chosen due to their documented use as restoration sites and their proximity to aquaculture locations, allowing for direct comparison between restored and farmed oyster habitats under similar environmental settings. Lastly, the control sites were located at Sally’s Cove Control (SCC; 38.64446° N, 75.12656° W) on the west side and Redefer Control (RC; 38°39.177′ N, 075°04.938′ W) on the east side of Rehoboth Bay. Control sites were selected in adjacent areas lacking substantial benthic structure to serve as baseline conditions for comparison with oyster-influenced habitats.
2.2. Blue Crab Cage Deployments
Two commercial traps and one recreational trap were deployed at each of the six sampling sites (
Figure 2). Each commercial trap was baited with two menhaden (
Brevoortia tyrannus), while recreational traps were baited with one menhaden per trap. To target juvenile and sub-adult blue crabs while allowing smaller individuals to escape, traps were fitted with 3.175 mm (1/8-inch) mesh along the bottom of each cage while maintaining accessibility to the escape openings. The goal of meshing the cages was to retain larger juvenile size classes while minimizing capture of smaller individuals.
Traps were retrieved after soaking for 24 to 36 h, with extended soak durations used only when adverse weather conditions prevented timely retrieval. Upon retrieval, all captured crabs were identified to species level. Additionally, non-target organisms (by-catch) were identified, counted, and measured for length (mm) and weight (g) prior to release. Blue crabs selected for CsRV1 analysis were retained and processed according to the procedures described in
Section 2.4.
2.3. Water Quality
Triplicate water samples were collected at each of the six sites, totaling eighteen samples weekly in 2022 and biweekly in 2023. The water samples were collected in 500 mL bottles and placed on ice. Physical water quality parameters were recorded on-site using a YSI 556 Handheld Multiparameter Instrument (YSI Xylem Inc., Yellow Springs, OH, USA) in 2022 and a YSI ProDSS Multiparameter Digital Water Quality Meter (YSI Xylem Inc., Yellow Springs, OH, USA) in 2023. During the transition between the instruments, both were calibrated and tested in the field simultaneously for comparison and to maintain consistency in readings. Environmental parameters assessed in this study include dissolved oxygen (mg/L), salinity (ppt), temperature (°C), and turbidity (FNU). Water samples for chemical analysis were measured using a colorimetric method following the standard protocol from YSI/Xylem Inc. and a YSI 9500 Photometer (YSI Xylem Inc., Yellow Springs, OH, USA).
2.4. Sample Collection for Callinectes sapidus Reovirus 1 Analysis
In 2023, one male and one female C. sapidus were selected from each study site, totaling twelve crabs per trip for genetic analysis to detect the presence of CsRV1. Each C. sapidus was marked on the carapace with quick-dry nail polish, labeled with “M” or “F” for male or female, followed by the site ID. The specimens were collected and placed on ice. Upon returning to the lab, one “walking leg” was removed from each specimen and placed into a 50 mm Eppendorf tube. Both the walking leg and the entire crab were immediately stored in an −80 °C freezer. All C. sapidus replicates were properly labeled by date, sex, and site for genetic analysis.
2.5. RNA Extraction
RNA extraction was performed using the collected crab specimens. The walking leg exoskeleton was cleaned using a 1:10 bleach dilution prior to dissection of the muscle. Dissections of walking legs were performed using individually wrapped sterilized wooden coffee sticks and new single-use razor blades. Prior to each dissection, the lab bench and crab cuticle were cleaned with a 1/10 bleach dilution [
9]. Approximately 50 mg of muscle tissue, including the hypodermis (subcuticle tissue), was removed from the walking leg and homogenized with 1.0 mL of TRIzol using an MP Biomedical bead beater (MP Biomedicals, Burlingame, CA, USA). The samples were placed in the bead beater for 20 s and processed for one cycle at a speed of 4.0 m/s. RNA was extracted from blue crab samples following the TRIzol manufacturer’s protocol. Briefly, samples were homogenized, followed by phase separation using chloroform (centrifugation at 12,000×
g for 15 min at 4 °C). The aqueous phase was then collected, and RNA was precipitated with isopropanol (centrifugation at 12,000×
g for 12 min at 4 °C). The resulting RNA pellet was washed twice with 75% ethanol (centrifugation at 12,000×
g for 5 min) and subsequently air-dried to remove residual ethanol. Finally, isolated RNA pellets were dissolved in RNase-free 1 mM EDTA, using 50 μL for muscle samples and 30 μL for hemolymph samples, and stored at −80 °C. RNA quality and concentration were assessed using a Nanodrop 2000 Spectrometer (Thermo Fisher Scientific, Waltham, MA, USA), with samples diluted to a target concentration range of 100–200 ng/μL for subsequent RT-qPCR analysis [
8].
2.6. Primer Design
For the evaluation of the RNA pathogen CsRV1, the primer pair was designed to amplify a 158 bp fragment based on specific gene sequences identified in the scientific literature [
9,
11]. The identified sequence selected for optimization consisted of 5′-TGCGTTGGATGCGAAGTGACAAAG-3′ (RLVset1F) and 5′ GCGCCATACCGAGCAAGTTCAAAT-3′ (RLVset1R). Samples were amplified using a Quantabio thermocycler and QuantStudio™3 (Thermo Fisher Scientific, Waltham, MA USA). Presence/absence analysis was performed using Thermo Fisher’s QuantStudio 3/5 Real-Time PCR Software (version v3.0).
2.7. RT-qPCR Reaction for CsRV1
RT-qPCR assays were conducted in duplicate, with 84 biological replicates, resulting in a total of 168 reactions. Reagents included RNA samples, nuclease-free water, EDTA, RT-Taq mix, 2× Master Mix, and forward and reverse primers. Each 10 μL reaction contained an RNA template, forward and reverse primers, 2× PCR Master Mix, RT-Taq mix, and nuclease-free water. RT-qPCR assays for CsRV1 were performed using a Quantabio thermocycler and a QuantStudio™ 3 Real-Time PCR System (Thermo Fisher Scientific, Waltham, MA, USA).
A ten-fold serial dilution of CsRV1 standards, ranging from 106 to 101 copies per reaction, was used to generate a standard curve for assay performance evaluation and reference quantification. RT-qPCR reactions underwent an initial denaturation at 95 °C for 5 min, followed by reverse transcription at 50 °C for 2 min and enzyme activation at 95 °C for 10 min. Amplification consisted of 40 cycles of 95 °C for 15 s and 60 °C for 1 min. Product specificity was assessed by melt curve analysis (15 s at 95 °C, 1 min at 60 °C, 15 s at 95 °C, and 15 s at 60 °C).
Amplification efficiency was determined from the standard curve and fell within the acceptable range for RT-qPCR assays. The assay detection limit corresponded to the lowest standard concentration (10
1 copies per reaction) that produced consistent and reliable amplification. Amplification specificity was confirmed by the presence of a single, distinct melting peak and by the absence of amplification in no-template negative controls. The primer set used in this study has been previously validated for the detection of CsRV1 in
Callinectes sapidus and demonstrated specificity for this reovirus in prior studies [
9,
11].
2.8. Statistical Analysis
Our statistical analyses and data visualizations were all conducted in R Studio (Version 2023.09.1, R version 4.3.2), primarily utilizing the tidy verse and ggplot2 packages. Faceted time series scatter plots were used to visualize individual data points, revealing patterns and variability across sites and time. For broader trends, bar graphs with standard deviations showed the spread around average water quality in 2022 and 2023. Additionally, a statistical table of all physiochemical parameters was provided (
Table S1).
4. Discussion
Initially, we hypothesized that CsRV1 would be present in C. sapidus populations within Rehoboth Bay. RT-qPCR analysis of 88 samples confirmed this hypothesis, with CsRV1 detected in two individuals collected from Sally’s Cove and Redefer Control. The resulting low detection rate (2.3%) is consistent with expectations for a baseline surveillance study and is not considered indicative of elevated disease risk. We further hypothesized that CsRV1 would occur at low levels within the Delaware Inland Bays, based on previously reported CsRV1 distributions in the Northeast and Mid-Atlantic regions and the known migratory behavior of C. sapidus. The present findings support this hypothesis and provide the first confirmation of CsRV1 presence in Rehoboth Bay.
We also hypothesized that water quality conditions within the Delaware Inland Bays would be suitable for sustaining C. sapidus populations. Observed total alkalinity values were near the recommended level of approximately 100 mg/L, supporting stable pH conditions necessary for physiological processes such as respiration and metabolism. Calcium hardness levels were similarly within ranges considered optimal for exoskeletal formation and molting, processes essential for growth and survival. Chlorophyll-a concentrations remained within the generally accepted range of 5–20 µg/L, indicating moderate primary productivity without evidence of excessive eutrophication. Dissolved oxygen was consistently higher than the minimum concentration of 3.0 mg/L throughout the study, supporting aerobic metabolism and molting. Nitrite levels remained below concentrations known to impair oxygen transport in crustaceans, while salinity values fell within the preferred range for C. sapidus across life stages. Temperature and turbidity values were also within tolerable limits for the species, supporting both adult survival and reproductive success.
Overall, the physical and chemical water quality parameters measured in this study were consistently favorable for the hardy C. sapidus and showed limited variation among habitat types or between the east and west sides of Rehoboth Bay. Seasonal changes, particularly between early summer and autumn, accounted for most observed variability. However, this assessment did not include the northern, southern, or central portions of the bay, which should be considered in future investigations.
Taken together, this study should be interpreted as a baseline surveillance effort integrating pathogen screening with comprehensive water quality monitoring. Statistical correlation or regression analyses could not be performed due to the very low number of CsRV1-positive samples detected in this study (2.3%). Consequently, the sampling effort was sufficient to confirm the presence of CsRV1 in Callinectes sapidus from Rehoboth Bay but was not designed to estimate population-level prevalence or support robust statistical modeling of environmental drivers. Detection of low-prevalence pathogens typically requires substantially larger sample sizes to achieve narrow confidence intervals, and the limited number of positive detections in this study restricted statistical power for prevalence estimation or association testing. Nevertheless, the ecological relationship between pathogen occurrence and environmental conditions remains important to consider. Previous studies have shown that environmental stressors, including reduced dissolved oxygen, elevated temperatures, and salinity fluctuations, can increase host susceptibility to CsRV1 infection. In the present study, all measured physicochemical parameters—including dissolved oxygen, salinity, alkalinity, calcium hardness, nitrite, temperature, turbidity, and chlorophyll-a—remained within ranges considered optimal for C. sapidus throughout the sampling period. These consistently favorable conditions may help explain the low CsRV1 detection rate observed, as the absence of pronounced environmental stressors likely limited viral replication and host vulnerability.
Future research should include expanded spatial coverage, increased sample sizes to support prevalence estimation, and broader pathogen screening, including CsRV2 and other crustacean viruses. Additionally, evaluating pathogen dynamics across co-occurring crustacean species—such as Asian shore crabs, Chinese mitten crabs, fiddler crabs, hermit crabs, and mud crabs—may improve understanding of potential reservoirs and transmission pathways. The deployment of continuous monitoring instruments (e.g., SONDES) would further enhance the resolution of diel, seasonal, and event-driven environmental variability. Collectively, such efforts will be essential for advancing understanding of pathogen dynamics and environmental drivers affecting C. sapidus populations and for supporting the long-term sustainability of the blue crab fishery in the Delaware Inland Bays.