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Article

Cadmium Accumulation and Regulation in the Freshwater Mussel Anodonta woodiana

1
Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi 214081, China
2
Wuxi Fisheries College, Nanjing Agricultural University, Wuxi 214081, China
3
College of Science, China Agricultural University, Beijing 100193, China
4
Ministry of Fisheries and Marine Resources, Freetown 190, Sierra Leone
5
College of Marine Science and Technology and Environment, Dalian Ocean University, Dalian 116023, China
*
Authors to whom correspondence should be addressed.
Toxics 2025, 13(8), 646; https://doi.org/10.3390/toxics13080646
Submission received: 29 June 2025 / Revised: 24 July 2025 / Accepted: 29 July 2025 / Published: 30 July 2025
(This article belongs to the Special Issue The Impact of Heavy Metals on Aquatic Ecosystems)

Abstract

Cadmium (Cd) pollution poses a serious threat to freshwater ecosystems. The freshwater mussel Anodonta woodiana is increasingly used as a bioindicator for monitoring Cd pollution in aquatic environments. However, the primary routes of Cd accumulation in A. woodiana remain unclear, and the molecular regulatory mechanisms underlying Cd accumulation are poorly understood. To address these gaps, this study employed a novel stable isotope dual-tracer technique to trace Cd from water (waterborne 112Cd) and the green alga Chlorella vulgaris (dietary 113Cd) during the simultaneous exposure experiment. Comparative transcriptomic analysis was then conducted to characterize molecular responses in A. woodiana following Cd exposure. The results showed that although newly accumulated 112Cd and 113Cd increased with exposure concentration and duration, the relative importance of 112Cd (91.6 ± 2.8%) was significantly higher than that of 113Cd (8.4 ± 2.8%) (p < 0.05). Cd exposure induced differentially expressed genes primarily enriched in the metabolic processes, cellular processes, and/or the ubiquitin-mediated proteolysis pathway. Within the ubiquitin-mediated proteolysis pathway, TRIP12 (E3 ubiquitin-protein ligase TRIP12) and Cul5 (cullin-5) were significantly upregulated. The findings will provide critical insights for interpreting Cd biomonitoring data in freshwater environments using mussels as bioindicators.

1. Introduction

Cadmium (Cd) pollution turns out to be a global environmental problem [1,2]. It was ranked first among the 12 priority hazardous substances globally by the United Nations Environment Programme [3]. In freshwater environments, Cd pollution, primarily originating from mining, industrial activities, wastewater discharge, sedimentation, and agricultural practices, poses particularly severe risks [1,4]. For instance, China’s Xiangjiang River experienced a severe Cd pollution incident in 2006, causing Cd concentrations in the nearby water to exceed 25 times that of the national standard [5], and Cd was ranked 10th out of 71 common chemicals in terms of hazard risk in British rivers [1]. Furthermore, Cd in freshwater environments can threaten human health through biomagnification in the food chain [2], potentially causing bone disorders, kidney disease, and cancer [6]. Therefore, monitoring of Cd pollution dynamics in freshwater environments is of critical importance.
Biomonitoring serves as a crucial approach for assessing Cd pollution dynamics in freshwater environments [7,8]. Compared with conventional physicochemical approaches, biomonitoring provides distinct advantages: (1) enabling continuous Cd tracking; (2) reflecting Cd bioavailability in aquatic environments; (3) serving as an early warning indicator for Cd contamination due to its high bioaccumulation potential; and (4) offering cost-effectiveness for long-term monitoring programs [7,8]. The freshwater mussel Anodonta woodiana, originating from China’s Yangtze River basin, has now become widely distributed across Asia, Europe, North America, and Africa [9]. As a unique indicator species in the “Freshwater Mussel Watch” project [10,11], A. woodiana demonstrates hyperaccumulation characteristics for Cd [12]. Consequently, an increasing number of nations—including Poland, China, Serbia, and Bulgaria—have employed A. woodiana for biomonitoring Cd pollution in various freshwater environments such as rivers, lakes, and reservoirs [10,13,14,15]. However, the primary source of Cd accumulation in A. woodiana (whether waterborne or dietary) and its regulatory mechanisms remain poorly understood.
Cd has multiple stable isotopes (e.g., 111Cd, 112Cd, 113Cd, and 114Cd), all of which are suitable for tracer applications [16,17]. The emerging Cd stable isotope dual-tracer technique [16,17] enables the differentiation of the relative contribution rates of waterborne and dietary Cd accumulation in aquatic animals under co-exposure conditions (closer to natural aquatic environments). For example, Guo et al. [16] successfully employed this Cd isotope dual-tracer technique to characterize the gastrointestinal absorption patterns of waterborne versus dietary Cd in the marine yellowstripe goby (Mugilogobius chulae). Additionally, comparative transcriptome analysis can reveal the molecular regulatory mechanisms underlying Cd accumulation in aquatic organisms [18,19]. Zhao et al. [18] employed comparative transcriptomics to reveal that the hyperaccumulation capacity of Cd in the scallop Chlamys farreri is achieved through regulation of antioxidant defense, detoxification, and transport processes. Therefore, the stable isotope dual-tracer technique combined with comparative transcriptomic analysis shows significant potential for investigating both the sources and regulatory mechanisms of Cd accumulation in A. woodiana.
This study will first conduct a simultaneous exposure of A. woodiana to waterborne 112Cd and dietary 113Cd, followed by comparative transcriptome analysis to reveal (1) the accumulation dynamics of waterborne and dietary Cd in the mussel, and (2) the molecular regulatory mechanisms governing Cd accumulation. The findings will provide critical insights for interpreting Cd biomonitoring results in freshwater environments using mussels as bioindicators.

2. Materials and Methods

2.1. Experimental Animals and Metals

Anodonta woodiana (6-month-old; shell length: 5.7 ± 0.3 cm) were collected from the Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences (Wuxi, China). After removing epibionts from the shell surface, the mussels were acclimatized in aerated ASTM (American Society for Testing Materials) reconstituted soft water [20] at 20 °C under a 16:8 h light–dark cycle for 2 weeks. They were fed daily with 4 × 105 cells/mL of the green alga Chlorella vulgaris for 3 h, followed by a complete water change.
The stable isotopes 112Cd (98.70% purity) and 113Cd (93.35% purity) were purchased from ISOFLEX USA (San Francisco, CA, USA) for labeling waterborne 112Cd and dietary 113Cd, respectively. The other Cd source was from CdCl2 (analytical grade; Sinopharm Chemical Reagent Co., Ltd., Shanghai, China) containing Cd with natural isotopic ratios.

2.2. Stable Isotope Cd Spiking in Water and Diet

ASTM reconstituted soft water was used as the experimental water [11,20]. In the control group, neither 112Cd nor 113Cd was detected in the water. In the 112Cd-spiked water, the nominal concentrations of 112Cd were 2.5, 5.0, and 10.0 μg L−1, while the actual measured concentrations were 2.5 ± 0.03, 5.3 ± 0.2, and 10.8 ± 0.5 μg L−1, which are environmentally relevant. In the 112Cd-spiked water, 112Cd accounted for >99% of the total Cd (112Cd + 113Cd), whereas 113Cd constituted <1% and was thus negligible. Therefore, 112Cd could well trace the waterborne Cd accumulation in mussels.
Chlorella vulgaris was suitable as a food source for A. woodiana [11]. In the control group, the 112Cd and 113Cd concentrations in C. vulgaris were 1.5 ± 0.01 and 0.8 ± 0.01 μg g−1 dw, respectively, which are comparable to Cd levels in algae from natural aquatic environments [21]. To obtain 113Cd-labeled C. vulgaris, the algae were exposed to 113Cd solutions with nominal concentrations of 2.5, 5.0, and 10.0 μg L−1 for 7 d [22]. The 113Cd-spiked algae were then collected via centrifugation and washed three times with Milli-Q water (Millipore Corp., Burlington, MA, USA, with a resistivity of 18.2 MΩ·cm). After labeling, the 112Cd concentrations in the algae showed no significant change (1.4–1.6 μg g−1 dw), whereas the 113Cd concentrations increased to 1.9 ± 0.01, 3.7 ± 0.1, and 6.2 ± 0.2 μg g−1 dw, representing 2.3- to 7.4-fold increases compared to the control group. These results demonstrate that 113Cd could effectively trace the dietary Cd accumulation in mussels. The collected 113Cd-spiked algae were stored at −80 °C until they were fed to mussels.

2.3. Simultaneous Exposure to Waterborne 112Cd and Dietary 113Cd

A total of 180 mussels were simultaneously exposed to waterborne 112Cd and dietary 113Cd and randomly divided into four groups: the control group (T0, 0 μg L−1 waterborne 112Cd + normal algae), low-Cd treatment group (T1, 2.5 μg L−1 waterborne 112Cd + 1.9 μg g−1 dw dietary 113Cd), medium-Cd treatment group (T2, 5.3 μg L−1 waterborne 112Cd + 3.7 μg g−1 dw dietary 113Cd), and high-Cd treatment group (T3, 10.8 μg L−1 waterborne 112Cd + 6.2 μg g−1 dw dietary 113Cd). Based on previous rearing density [11], the mussels were randomly distributed into 12 glass tanks (3 replicates per group), each containing 3 L of test solution and 15 mussels. They were fed daily with 4 × 105 cells mL−1 [11,23] of C. vulgaris for a 3 h feeding period [11,24]. This duration was selected because (1) according to the filtration rate of A. woodiana [25], 3 h allowed the mussels to filter the tank water 3–4 times, ensuring sufficient algal uptake, and (2) it minimized the potential release of Cd from algae into the water or absorption of Cd from the water by algae [24]. After feeding, complete water replacement was performed. The 30 d treatment was conducted under continuous aeration, with water temperature maintained at 20 °C and a 16:8 h light–dark cycle. On days 10, 20, and 30, 6 mussels per group (2 per tank) were sampled. The remaining specimens were reserved for further studies (unpublished).

2.4. Transcriptome Analysis

The mussels were exposed to waterborne Cd with nominal concentrations of 2.5, 5.0, and 50 μg L−1, while the actual measured concentrations were 2.6 ± 0.1, 5.5 ± 0.2, and 56 ± 1.6 μg L−1, respectively. The first two Cd concentrations were environmentally relevant, whereas the highest concentration was set to comprehensively investigate the molecular regulatory mechanisms of Cd accumulation in the mussels. Additionally, ASTM reconstituted soft water containing 0 μg L−1 Cd served as the control group. A total of 120 mussels were randomly and equally divided into the four groups mentioned above, with three replicates per group. The stocking density and exposure conditions followed Section 2.3. After 10 d of exposure, the gills—the target organ for Cd accumulation [11]—were collected from different groups (n = 3) for transcriptomic analysis, as previously described [26]. Briefly, total RNA was extracted using RNAiso Plus and sequenced on the Illumina NovaSeq 6000 platform. The raw sequence data were deposited in the NCBI database under the project number PRJNA760280. After trimming and filtering, clean reads were de novo assembled using Trinity software (v2.4.0) [27]. Subsequently, gene annotation was performed using the Nr, COG, GO, KEGG, KOG, Pfam, and Swiss-Prot databases. Differentially expressed genes (DEGs) were identified using DESeq2 software (v 1.22.2) with the thresholds of |log2(fold change)| > 1 and false discovery rate < 0.05 [28]. The DEGs were further subjected to the GO enrichment and KEGG pathway analyses.
To validate the reliability of the transcriptomic data, 30 mussels were equally divided into a control group (0 μg Cd L−1) and an exposure group with a nominal Cd concentration of 2.0 mg L−1 (actual measured concentration: 2.2 ± 0.1 mg L−1; approximately half the 96 h EC50 value [29]), with three replicates per group. Each glass tank contained 2 L of test solution and five mussels. With the exception of food deprivation, all other exposure conditions were identical to those described in Section 2.3. After 96 h of exposure, the gills from different treatment groups (n = 3) were sampled for real-time PCR (RT-qPCR) analysis of four representative genes. Gene-specific primers are listed in Table 1. The RT-qPCR was performed as previously described [26], with β-actin serving as the internal control [26]. Relative gene expression levels were calculated using the 2−ΔΔCT method [30].

2.5. Heavy Metal Analysis

Water samples (30 mL) were acidified with 1.5 mL of HNO3 (Merck, Darmstadt, Germany, 65%). For algal and soft tissue samples of A. woodiana, specimens were dried at 80 °C for 24 h, ground into powder, and approximately 0.1 g was digested with 5 mL HNO3 using an ETHOS A T260 microwave digestion system (Milestone Inc., Milan, Italy). The digested solutions were then diluted to 100 mL with Milli-Q water. The concentrations of 112Cd, 113Cd, and Cd in water, algal, and mussel samples were determined by an Agilent 7500ce inductively coupled plasma mass spectrometry (ICP-MS; Agilent Technologies, Santa Clara, CA, USA). Quality assurance and quality control of the ICP-MS were checked by spike recoveries of 112Cd, 113Cd (ISOFLEX USA, San Francisco, CA, USA), and certified reference materials (Agilent Technologies, Santa Clara, CA, USA), with all recovery rates showing deviations of less than 10% from the certified values.

2.6. Statistical Analysis

The accumulation of waterborne 112Cd in mussels was expressed as the 112Cd concentration in mussels measured by ICP-MS, subtracting the 112Cd absorbed from 113Cd-spiked algae. The accumulation of dietary 113Cd in mussels was calculated by multiplying the 113Cd concentration in mussels measured via ICP-MS by 8 (3 h × 8 = 24 h), as they continuously filter water and feed over a 24 h period. The newly accumulated waterborne 112Cd and dietary 113Cd in A. woodiana were calculated by subtracting control group concentrations from exposure group concentrations. The influx rates (Jin, μg g−1 d−1) of waterborne 112Cd and dietary 113Cd were calculated by linear regressions between the new accumulation of 112Cd or 113Cd and exposure time [16]. All data were presented as mean ± SD. Statistical analyses were performed using SPSS Statistics 29.0 (IBM Corporation, Armonk, NY, USA), including one-way ANOVA and t-tests, with p < 0.05 considered significant difference.

3. Results

3.1. Survival and Growth of Mussels

During the 30 d simultaneous exposure to waterborne 112Cd and dietary 113Cd, the survival rate of mussels in both the control group and all treatment groups was 100%. The shell length ranged from 6.81 ± 0.23 cm to 7.43 ± 0.21 cm (Table 2), while the dry weight of soft tissues varied from 0.73 ± 0.07 g to 1.29 ± 0.20 g (Table 2). No significant differences were observed in shell length or dry weight of soft tissues among different groups (p > 0.05).

3.2. Cadmium Accumulation in Mussels from Waterborne and Dietary Exposure

In the control group, the concentrations of 112Cd and 113Cd in mussels were 1.52 ± 0.02 μg g−1 dw (range: 1.45–1.59 μg g−1 dw) and 0.87 ± 0.04 μg g−1 dw (range: 0.83–0.91 μg g−1 dw), respectively. In the treated group, the newly accumulated 112Cd in mussels increased with rising waterborne 112Cd concentration and prolonged exposure time (Figure 1A). The Jin of waterborne 112Cd was 0.62 ± 0.55 μg g−1 d−1 (range: 0.23–1.25 μg g−1 d−1). Similarly, the newly accumulated 113Cd in mussels increased with higher dietary 113Cd concentration and extended exposure duration (Figure 1B). The Jin of dietary 113Cd was 0.05 ± 0.02 μg g−1 d−1 (range: 0.02–0.07 μg g−1 d−1). In the treated group, the relative importance of 112Cd was 91.6 ± 2.8% (range: 87.9–95.3%), whereas that of 113Cd was 8.4 ± 2.8% (range: 4.7–12.1%). The former was significantly higher than the latter (p < 0.05).

3.3. Transcriptomic Response of Mussels to Cd Accumulation

Exposure of mussels to waterborne Cd at low (LC; 2.5 μg L−1), medium (MC; 5.0 μg L−1), and high concentrations (HC; 50 μg L−1) for 10 d resulted in 762, 1258, and 4113 DEGs, respectively, compared to the control group (CK; 0 μg L−1). Among these, 41 common DEGs were identified (Figure 2A). Four genes were selected from these forty-one common DEGs for qRT-PCR validation, which confirmed consistent expression trends with the transcriptomic data (Figure 2B,C). The GO enrichment analysis revealed that the DEGs were predominantly enriched in biological processes such as metabolic processes (GO:0044710) and cellular processes (GO:0044763). The KEGG pathway analysis indicated no significant enrichment of DEGs in the LC and MC groups, whereas the HC group exhibited significant enrichment in the ubiquitin-mediated proteolysis pathway (ko04120; Figure 2D). Within this pathway, TRIP12 (E3 ubiquitin-protein ligase TRIP12) and Cul5 (cullin-5) were significantly upregulated, while UBE2D (ubiquitin-conjugating enzyme E2-17 kDa) and EloC (Elongin C) were significantly downregulated.

4. Discussion

4.1. Effect of Cd Exposure on A. woodiana

The freshwater mussel A. woodiana exhibits high tolerance to Cd. In natural aquatic environments, the accumulated Cd concentration in its soft tissues can reach up to 126.2 ± 56.9 μg g−1 dw [12], which may be attributed to its detoxification mechanisms involving the production of antioxidant enzymes [31] and/or metallothioneins for Cd sequestration [32]. Due to this tolerance, no mortality was observed in A. woodiana after 30 d of simultaneous exposure to environmentally relevant concentrations of waterborne 112Cd and dietary 113Cd. Nevertheless, no significant growth (including shell length and soft tissue weight) was detected during the exposure period. This also eliminated the potential influence of the growth dilution effect [33] on Cd accumulation.

4.2. Accumulation Characteristics of Waterborne and Dietary Cd in A. woodiana

The uptake and accumulation of both waterborne and dietary Cd in mussels may be influenced by their background Cd levels [34]. For instance, the green mussel Perna viridis exhibits a significant positive linear correlation between its dietary Cd assimilation efficiency and background Cd concentration [34]. However, excessively high background Cd concentrations (22.5 ± 2.5 μg g−1 dw) can significantly inhibit waterborne Cd uptake [34]. Based on the natural abundance of 112Cd (24.13%) and 113Cd (12.22%) in Cd [35], the background Cd concentration in A. woodiana used in this study was much lower than the maximum permissible Cd level for bivalves (2.0 μg g−1 wet weight, equivalent to approximately 20 μg g−1 dw) specified in China’s National Food Safety Standard—Limits of Contaminants in Foods (GB 2762-2022) [36]. Therefore, the influence of background Cd levels on the uptake and accumulation of waterborne 112Cd and dietary 113Cd could be negligible in this study.
In Cd-treated groups of A. woodiana, the accumulated concentrations of 112Cd and 113Cd increased with elevated exposure concentrations and/or prolonged exposure duration, demonstrating active Cd uptake from both waterborne and dietary pathways. Notably, the influx rate of waterborne 112Cd was significantly higher than that of dietary 113Cd, with the former being 12.4-fold greater than the latter on average. Correspondingly, the mean relative importance of 112Cd accumulation was 10.9 times higher than that of 113Cd, indicating that the majority of accumulated Cd originated from water. Previous studies have consistently demonstrated that A. woodiana exhibits high efficiency in absorbing waterborne Cd across both environmentally relevant [11] and elevated concentration [37] ranges. Specifically, the average waterborne Cd uptake rate in A. woodiana exceeded that of the goby Mugilogobius chulae (mean: 0.12 μg g1 d−1, range: 0.031–0.24 μg g−1 d−1) by more than 5-fold [38]. In the freshwater mussel Pyganodon grandis, gills served as the primary site for waterborne Cd uptake (waterborne-to-dietary Cd ratio: 99:1), while the digestive gland was the main route for dietary Cd assimilation, waterborne Cd still dominated (ratio: 80:20) [23]. These findings collectively suggest that when freshwater bivalves like A. woodiana are employed as bioindicators for monitoring Cd contamination in aquatic environments, they primarily reflect waterborne rather than dietary Cd concentrations.

4.3. Molecular Mechanisms of Cd Accumulation Regulation in A. woodiana

This study demonstrates that waterborne Cd is the primary route for Cd accumulation in A. woodiana from the aquatic environment. Therefore, we further investigated the molecular mechanisms regulating Cd accumulation in A. woodiana under waterborne Cd exposure.
Waterborne Cd accumulation induces oxidative stress in A. woodiana [31,39]. This study revealed that the number of DEGs in A. woodiana increased with rising waterborne Cd concentrations. These DEGs were primarily associated with metabolic and cellular processes. Previous studies have also found that waterborne Cd exposure disrupts nucleotide, amino acid, and energy metabolism in the deep-sea mussel Bathymodiolus platifrons [40], and triggers apoptosis in A. woodiana [39]. In response, A. woodiana upregulates antioxidant enzymes (e.g., superoxide dismutase, glutathione peroxidase, and catalase) to counteract Cd-induced oxidative stress [31]. Notably, this study newly identified that A. woodiana regulates Cd accumulation via the ubiquitin-mediated proteolysis pathway, which is linked to the antioxidant system [41]. The ubiquitin-mediated proteolysis pathway has also been reported as a key regulatory pathway for waterborne Cd detoxification in the clam Ruditapes philippinarum [19]. Ubiquitin-dependent proteolysis resists Cd by degrading abnormal proteins [42]. Specifically, we found that TRIP12, an ubiquitination-mediated degradation of targeting protein substrates [43], was significantly upregulated in the ubiquitin-mediated proteolysis pathway. By facilitating the removal of damaged proteins, TRIP12 participates in vital biological processes, including cell cycle progression, DNA damage repair, chromatin remodeling, and cell differentiation [43]. Therefore, we propose that upregulation of TRIP12 in the ubiquitin-mediated proteolysis pathway serves as a crucial mechanism for A. woodiana to regulate Cd accumulation.

5. Conclusions

The freshwater mussel A. woodiana is being increasingly utilized for biomonitoring of Cd pollution in aquatic environments. This study reveals that the predominant source of Cd accumulation in A. woodiana originates from waterborne rather than dietary influx, with waterborne Cd exhibiting approximately 10-fold greater relative importance compared to dietary Cd. The mussel regulates Cd accumulation through modulation of metabolic processes, cellular processes, and/or the ubiquitin-mediated proteolysis pathway. Significantly, upregulation of TRIP12 was identified as a key mechanism in this regulatory process. These findings provide crucial insights for interpreting biomonitoring results of aquatic Cd pollution using freshwater mussels and will aid global Cd pollution assessments. Future studies should further investigate the Cd accumulation kinetics in A. woodiana based on the current findings. Moreover, since pollutants in natural waters typically consist of multi-component mixtures rather than Cd alone, subsequent research should also explore the interaction mechanisms between Cd accumulation and other coexisting elements (including both essential and non-essential elements) in A. woodiana.

Author Contributions

Conceptualization, X.C.; investigation, X.C., T.J., and J.X.; writing—original draft preparation, X.C., I.B., M.G., and M.W.; data curation, C.S. and J.J.; writing—review and editing, S.M. and J.J.; funding acquisition, X.C., C.S., and S.M. All authors have read and agreed to the published version of the manuscript.

Funding

This work was funded by National Key Research and Development Program of China (2022YFC3202103), the National Natural Science Foundation of China (31502166), and Central Public-interest Scientific Institution Basal Research Fund, CAFS (2023TD18).

Institutional Review Board Statement

The study protocol was approved by the Ethics Committee of the Freshwater Fisheries Research Center, Chinese Academy of Fisheries Sciences (protocol code LAECFFRC-2022-06-13) on 13 June 2022.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Johnson, A.C.; Jin, X.; Nakada, N.; Sumpter, J.P. Learning from the past and considering the future of chemicals in the environment. Science 2020, 367, 384–387. [Google Scholar] [CrossRef]
  2. Xu, W.; Wang, S.; Ruan, W.; Hao, M.; Jiang, K.; Guo, H.; Geng, A.; Man, M.; Hu, Z.; Liu, Y.; et al. Cadmium exposure and health outcomes: An umbrella review of meta-analyses. Environ. Res. 2025, 276, 121547. [Google Scholar] [CrossRef]
  3. Yuan, Z.; Luo, T.; Liu, X.; Hua, H.; Zhuang, Y.; Zhang, X.; Zhang, L.; Zhang, Y.; Xu, W.; Ren, J. Tracing anthropogenic cadmium emissions: From sources to pollution. Sci. Total Environ. 2019, 676, 87–96. [Google Scholar] [CrossRef]
  4. Irfan, M.; Liu, X.; Hussain, K.; Mushtaq, S.; Cabrera, J.; Zhang, P. The global research trend on cadmium in freshwater: A bibliometric review. Environ. Sci. Pollut. Res. 2023, 30, 71585–71598. [Google Scholar] [CrossRef]
  5. Long, Y.; Wu, C.; Jiang, C.; Hu, S.; Liu, Y. Simulating the impacts of an upstream dam on pollutant transport: A case study on the Xiangjiang River, China. Water 2016, 8, 516. [Google Scholar] [CrossRef]
  6. Yang, Y.; Hassan, M.F.; Ali, W.; Zou, H.; Liu, Z.; Ma, Y. Effects of cadmium pollution on human health: A narrative review. Atmosphere 2025, 16, 225. [Google Scholar] [CrossRef]
  7. Allan, I.J.; Vrana, B.; Greenwood, R.; Mills, G.A.; Roig, B.; Gonzalez, C. A “toolbox” for biological and chemical monitoring requirements for the European Union’s Water Framework Directive. Talanta 2006, 69, 302–322. [Google Scholar] [CrossRef] [PubMed]
  8. Ogidi, O.I.; Onwuagba, C.G.; Richard-Nwachukwu, N. Biomonitoring tools, techniques and approaches for environmental assessments. In Biomonitoring of Pollutants in the Global South; Springer Nature: Singapore, 2024; pp. 243–273. [Google Scholar]
  9. Douda, K.; Zieritz, A.; Vodáková, B.; Urbańska, M.; Bolotov, I.N.; Marková, J.; Froufe, E.; Bogan, A.E.; Lopes-Lima, M. Review of the globally invasive freshwater mussels in the genus Sinanodonta Modell, 1945. Hydrobiologia 2025, 852, 1243–1273. [Google Scholar] [CrossRef]
  10. Liu, H.; Yang, J.; Gan, J. Trace element accumulation in bivalve mussels Anodonta woodiana from Taihu Lake, China. Arch. Environ. Contam. Toxicol. 2010, 59, 593–601. [Google Scholar] [CrossRef]
  11. Chen, X.; Liu, H.; Huang, H.; Liber, K.; Jiang, T.; Yang, J. Cadmium bioaccumulation and distribution in the freshwater bivalve Anodonta woodiana exposed to environmentally relevant Cd levels. Sci. Total Environ. 2021, 791, 148289. [Google Scholar] [CrossRef]
  12. Chen, X.; Jiang, T.; Liu, H.; Yang, J. Bioaccumulation characteristics of 20 elements between Anodonta woodiana and Lamprotula leai. J. Agro-Environ. Sci. 2023, 42, 2190–2197, (In Chinese with English Abstract). [Google Scholar]
  13. Królak, E.; Zdanowski, B. The bioaccumulation of heavy metals by the mussels Anodonta woodiana (Lea, 1834) and Dreissena polymorpha (Pall.) in the Heated Konin Lakes. Arch. Pol. Fish. 2001, 9, 229–237. [Google Scholar]
  14. Gecheva, G.; Yancheva, V.; Velcheva, I.; Georgieva, E.; Stoyanova, S.; Arnaudova, D.; Stefanova, V.; Georgieva, D.; Genina, V.; Todorova, B.; et al. Integrated monitoring with moss-bag and mussel transplants in reservoirs. Water 2020, 12, 1800. [Google Scholar] [CrossRef]
  15. Georgieva, E.; Antal, L.; Stoyanova, S.; Arnaudova, D.; Velcheva, I.; Iliev, I.; Vasileva, T.; Bivolarski, V.; Mitkovska, V.; Chassovnikarova, T.; et al. Biomarkers for pollution in caged mussels from three reservoirs in Bulgaria: A pilot study. Heliyon 2022, 8, e09069. [Google Scholar] [CrossRef]
  16. Guo, Z.; Gao, N.; Wu, Y.; Zhang, L. The simultaneous uptake of dietary and waterborne Cd in gastrointestinal tracts of marine yellowstripe goby Mugilogobius chulae. Environ. Pollut. 2017, 223, 31–41. [Google Scholar] [CrossRef]
  17. Zhong, G.; Lin, Z.; Liu, F.; Xie, M.; Chen, R.; Tan, Q.G. Toxicokinetics and Mussel Watch: Addressing interspecies differences for coastal cadmium contamination assessment. Environ. Sci. Technol. 2024, 58, 14618–14628. [Google Scholar] [CrossRef]
  18. Zhao, Y.; Kang, X.; Shang, D.; Ning, J.; Ding, H.; Zhai, Y.; Sheng, X. Hyperaccumulation of cadmium by scallop Chlamys farreri revealed by comparative transcriptome analysis. Biometals 2020, 33, 397–413. [Google Scholar] [CrossRef] [PubMed]
  19. Zhan, J.; Wang, S.; Li, F.; Ji, C.; Wu, H. Global characterization of dose-dependent effects of cadmium in clam Ruditapes philippinarum. Environ. Pollut. 2021, 273, 116443. [Google Scholar] [CrossRef] [PubMed]
  20. ASTM-E2455-22; Standard Guide for Conducting Laboratory Toxicity Tests with Freshwater Mussels. ASTM International: West Conshohocken, PA, USA, 2022.
  21. Yuan, H.; Liu, E.; Shen, J. The accumulation and potential ecological risk of heavy metals in microalgae from a eutrophic lake (Taihu Lake, China). Environ. Sci. Pollut. Res. 2015, 22, 17123–17134. [Google Scholar] [CrossRef] [PubMed]
  22. Guo, F.; Tu, R.; Wang, W.X. Different responses of abalone Haliotis discushannai to waterborne and dietary-borne copper and zinc exposure. Ecotox. Environ. Safe. 2013, 91, 10–17. [Google Scholar] [CrossRef]
  23. Cooper, S.; Hare, L.; Campbell, P.G.C. Modeling cadmium uptake from water and food by the freshwater bivalve Pyganodon grandis. Can. J. Fish. Aquat. Sci. 2010, 67, 1874–1888. [Google Scholar] [CrossRef]
  24. Huang, X.; Ke, C.; Wang, W.X. Bioaccumulation of silver, cadmium and mercury in the abalone Haliotis diversicolor from water and food sources. Aquaculture 2008, 283, 194–202. [Google Scholar] [CrossRef]
  25. Zhou, C.; Huang, J.C.; Liu, F.; He, S.; Zhou, W. Removal of selenium containing algae by the bivalve Sinanodonta woodiana and the potential risk to human health. Environ. Pollut. 2018, 242, 73–81. [Google Scholar] [CrossRef] [PubMed]
  26. Chen, X.; Liu, H.; Liber, K.; Jiang, T.; Yang, J. Copper-induced ionoregulatory disturbance, histopathology, and transcriptome responses in freshwater mussel (Anodonta woodiana) gills. Fishes 2023, 8, 368. [Google Scholar] [CrossRef]
  27. Grabherr, M.G.; Haas, B.J.; Yassour, M.; Levin, J.Z.; Thompson, D.A.; Amit, I.; Adiconis, X.; Fan, L.; Raychowdhury, R.; Zeng, Q.; et al. Trinity: Reconstructing a full-length transcriptome without a genome from RNA-Seq data. Nat. Biotechnol. 2011, 29, 644–652. [Google Scholar] [CrossRef] [PubMed]
  28. Love, M.I.; Huber, W.; Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014, 15, 550. [Google Scholar] [CrossRef]
  29. Chen, X.; Liu, H.; Su, Y.; Jiang, T.; Yang, J. Acute toxicity of cadmium and its effects on lipid peroxidation and DNA damage in “standardized” Anodonta woodiana. J. Agro-Environ. Sci. 2017, 36, 1960–1967, (In Chinese with English Abstract). [Google Scholar]
  30. Livak, K.J.; Schmittgen, T.D. Analysis of relative gene expression data using real- time quantitative PCR and the 2–ΔΔCT method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef]
  31. Xing, H.; Li, Y.; Yang, H.; Wang, L. Effects of cadmium on antioxidant enzyme activities and lipid peroxidation in the mantle and gill of the freshwater bivalve A. woodiana woodiana. Acta Sci. Circum. 2013, 33, 856–860, (In Chinese with English Abstract). [Google Scholar]
  32. Li, Y.; Yang, H.; Liu, N.; Luo, J.; Wang, Q.; Wang, L. Cadmium accumulation and metallothionein biosynthesis in cadmium-treated freshwater mussel Anodonta woodiana. PLoS ONE 2015, 10, e0117037. [Google Scholar] [CrossRef]
  33. Karimi, R.; Fisher, N.S.; Folt, C.L. Multielement stoichiometry in aquatic invertebrates: When growth dilution matters. Am. Nat. 2010, 176, 699–709. [Google Scholar] [CrossRef] [PubMed]
  34. Shi, D.; Wang, W.X. Uptake of aqueous and dietary metals by mussel Perna viridis with different Cd exposure histories. Environ. Sci. Technol. 2005, 39, 9363–9369. [Google Scholar] [CrossRef]
  35. de Laeter, J.R.; Böhlke, J.K.; De Bièvre, P.; Hidaka, H.; Peiser, H.S.; Rosman, K.J.R.; Taylor, P.D.P. Atomic weights of the elements. Review 2000 (IUPAC Technical Report). Pure Appl. Chem. 2003, 75, 683–800. [Google Scholar] [CrossRef]
  36. GB 2762-2022; National Food Safety Standards: Limits of Contaminants in Food. National Health Commission of the People’s Republic of China, State Administration for Market Regulation: Beijing, China, 2022.
  37. Jing, W.; Lang, L.; Lin, Z.; Liu, N.; Wang, L. Cadmium bioaccumulation and elimination in tissues of the freshwater mussel Anodonta woodiana. Chemosphere 2019, 219, 321–327. [Google Scholar] [CrossRef] [PubMed]
  38. Guo, Z.; Ye, H.; Xiao, J.; Hogstrand, C.; Zhang, L. Biokinetic modeling of Cd bioaccumulation from water, diet and sediment in a marine benthic goby: A triple stable isotope tracing technique. Environ. Sci. Technol. 2018, 52, 8429–8437. [Google Scholar] [CrossRef]
  39. Li, Y.Q.; Chen, C.M.; Liu, N.; Wang, L. Cadmium-induced ultrastructural changes and apoptosis in the gill of freshwater mussel Anodonta woodiana. Environ. Sci. Pollut. Res. 2022, 29, 23338–23351. [Google Scholar] [CrossRef]
  40. Zhou, L.; Li, M.; Zhong, Z.; Chen, H.; Wang, X.; Wang, M.; Xu, Z.; Cao, L.; Lian, C.; Zhang, H.; et al. Biochemical and metabolic responses of the deep-sea mussel Bathymodiolus platifrons to cadmium and copper exposure. Aquat. Toxicol. 2021, 236, 105845. [Google Scholar] [CrossRef]
  41. Jiao, T.; Chu, X.H.; Gao, Z.Q.; Yang, T.T.; Liu, Y.; Yang, L.; Zhang, D.Z.; Wang, J.L.; Tang, B.P.; Wu, K.; et al. New insight into the molecular basis of Fe (III) stress responses of Procambarus clarkii by transcriptome analysis. Ecotox. Environ. Safe. 2019, 182, 109388. [Google Scholar] [CrossRef]
  42. Jungmann, J.; Reins, H.A.; Schobert, C.; Jentsch, S. Resistance to cadmium mediated by ubiquitin-dependent proteolysis. Nature 1993, 361, 369–371. [Google Scholar] [CrossRef]
  43. Brunet, M.; Vargas, C.; Larrieu, D.; Torrisani, J.; Dufresne, M. E3 ubiquitin ligase TRIP12: Regulation, structure, and physiopathological functions. Int. J. Mol. Sci. 2020, 21, 8515. [Google Scholar] [CrossRef]
Figure 1. The newly accumulated 112Cd (A) and 113Cd (B) in Anodonta woodiana simultaneously exposed to waterborne 112Cd and dietary 113Cd over 30 d (n = 3). T1 refers to 2.5 μg L−1 waterborne 112Cd and 1.9 μg g−1 dw dietary 113Cd simultaneous exposure (green); T2 refers to 5.3 μg L−1 waterborne 112Cd and 3.7 μg g−1 dw dietary 113Cd simultaneous exposure (blue); and T3 refers to 10.8 μg L−1 waterborne 112Cd and 6.2 μg g−1 dw dietary 113Cd simultaneous exposure (red). Values with different letters indicate a significant difference (p < 0.05).
Figure 1. The newly accumulated 112Cd (A) and 113Cd (B) in Anodonta woodiana simultaneously exposed to waterborne 112Cd and dietary 113Cd over 30 d (n = 3). T1 refers to 2.5 μg L−1 waterborne 112Cd and 1.9 μg g−1 dw dietary 113Cd simultaneous exposure (green); T2 refers to 5.3 μg L−1 waterborne 112Cd and 3.7 μg g−1 dw dietary 113Cd simultaneous exposure (blue); and T3 refers to 10.8 μg L−1 waterborne 112Cd and 6.2 μg g−1 dw dietary 113Cd simultaneous exposure (red). Values with different letters indicate a significant difference (p < 0.05).
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Figure 2. (A) Differentially expressed genes (DEGs) induced by waterborne Cd exposure at 2.5 μg L−1 (low concentration, LC), 5.0 μg L−1 (medium concentration, MC), and 50 μg L−1 (high concentration, HC) in Anodonta woodiana for 10 d compared to the control group (0 μg L−1, CK); (B) RNA-Seq and (C) RT-qPCR validation of relative expression levels for the genes TubB (Tubulin beta chain), PhoA (Phospholipase A1 magnifin), PheT (Phenylalanine-tRNA ligase), and ProH (Protein henna); and (D) KEGG pathway analysis of DEGs. Superscript asterisks indicate significant differences between the Cd-treated and control groups (p < 0.05).
Figure 2. (A) Differentially expressed genes (DEGs) induced by waterborne Cd exposure at 2.5 μg L−1 (low concentration, LC), 5.0 μg L−1 (medium concentration, MC), and 50 μg L−1 (high concentration, HC) in Anodonta woodiana for 10 d compared to the control group (0 μg L−1, CK); (B) RNA-Seq and (C) RT-qPCR validation of relative expression levels for the genes TubB (Tubulin beta chain), PhoA (Phospholipase A1 magnifin), PheT (Phenylalanine-tRNA ligase), and ProH (Protein henna); and (D) KEGG pathway analysis of DEGs. Superscript asterisks indicate significant differences between the Cd-treated and control groups (p < 0.05).
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Table 1. Primers used in the real-time PCR analysis.
Table 1. Primers used in the real-time PCR analysis.
GeneDescriptionPrimer Sequence
TubBTubulin beta chainF-AGGCAAATATGTACCCAG
R-TTTCCAGCTCCACTCTGT
PhoAPhospholipase A1 magnifinF-AGCACCCTTATTCCAGTC
R-CAGATAGAAACGTCGTATTG
PheTPhenylalanine-tRNA ligaseF-TGCAATATGATGAAAGATAC
R-ACTTGCTGTACGAAGTCA
ProHProtein hennaF-TTTGACACGGTGAAGGAC
R-ACGGGATTCAATGTGGAG
β-actinBeta-actinF-ACGGATAACACAAGGAAAGGAAAC
R-ATGGATGGAAACACGGCTCT
Table 2. Growth characteristics of Anodonta woodiana (mean ± SD; n = 3).
Table 2. Growth characteristics of Anodonta woodiana (mean ± SD; n = 3).
Time (d)TreatmentShell Length (cm)Dry Weight of Soft Tissue (g)
10T07.43 ± 0.211.29 ± 0.20
T17.08 ± 0.071.18 ± 0.36
T26.94 ± 0.291.23 ± 0.32
T36.90 ± 0.101.06 ± 0.17
20T07.02 ± 0.161.22 ± 0.29
T17.08 ± 0.201.14 ± 0.31
T26.93 ± 0.520.92 ± 0.04
T36.81 ± 0.230.86 ± 0.10
30T07.18 ± 0.451.00 ± 0.16
T16.98 ± 0.540.73 ± 0.07
T26.91 ± 0.080.82 ± 0.07
T37.02 ± 0.271.00 ± 0.23
Note: T0 refers to 0 μg L−1 waterborne 112Cd and 0.8 μg g−1 dw dietary 113Cd simultaneous exposure; T1 refers to 2.5 μg L−1 waterborne 112Cd and 1.9 μg g−1 dw dietary 113Cd simultaneous exposure; T2 refers to 5.3 μg L−1 waterborne 112Cd and 3.7 μg g−1 dw dietary 113Cd simultaneous exposure; and T3 refers to 10.8 μg L−1 waterborne 112Cd and 6.2 μg g−1 dw dietary 113Cd simultaneous exposure.
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Chen, X.; Song, C.; Jiang, J.; Jiang, T.; Xue, J.; Bah, I.; Gu, M.; Wang, M.; Meng, S. Cadmium Accumulation and Regulation in the Freshwater Mussel Anodonta woodiana. Toxics 2025, 13, 646. https://doi.org/10.3390/toxics13080646

AMA Style

Chen X, Song C, Jiang J, Jiang T, Xue J, Bah I, Gu M, Wang M, Meng S. Cadmium Accumulation and Regulation in the Freshwater Mussel Anodonta woodiana. Toxics. 2025; 13(8):646. https://doi.org/10.3390/toxics13080646

Chicago/Turabian Style

Chen, Xiubao, Chao Song, Jiazhen Jiang, Tao Jiang, Junren Xue, Ibrahim Bah, Mengying Gu, Meiyi Wang, and Shunlong Meng. 2025. "Cadmium Accumulation and Regulation in the Freshwater Mussel Anodonta woodiana" Toxics 13, no. 8: 646. https://doi.org/10.3390/toxics13080646

APA Style

Chen, X., Song, C., Jiang, J., Jiang, T., Xue, J., Bah, I., Gu, M., Wang, M., & Meng, S. (2025). Cadmium Accumulation and Regulation in the Freshwater Mussel Anodonta woodiana. Toxics, 13(8), 646. https://doi.org/10.3390/toxics13080646

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