Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Feb 21;51(4):2392-2400.
doi: 10.1021/acs.est.6b04556. Epub 2017 Feb 7.

Antibiotic Pollution in Marine Food Webs in Laizhou Bay, North China: Trophodynamics and Human Exposure Implication

Affiliations

Antibiotic Pollution in Marine Food Webs in Laizhou Bay, North China: Trophodynamics and Human Exposure Implication

Sisi Liu et al. Environ Sci Technol. .

Abstract

Little information is available about the bioaccumulation and biomagnification of antibiotics in marine food webs. Here, we investigate the levels and trophic transfer of 9 sulfonamide (SA), 5 fluoroquinolone (FQ), and 4 macrolide (ML) antibiotics, as well as trimethoprim in nine invertebrate and ten fish species collected from a marine food web in Laizhou Bay, North China in 2014 and 2015. All the antibiotics were detected in the marine organisms, with SAs and FQs being the most abundant antibiotics. Benthic fish accumulated more SAs than invertebrates and pelagic fish, while invertebrates exhibited higher FQ levels than fish. Generally, SAs and trimethoprim biomagnified in the food web, while the FQs and MLs were biodiluted. Trophic magnification factors (TMF) were 1.2-3.9 for SAs and trimethoprim, 0.3-1.0 for FQs and MLs. Limited biotransformation and relatively high assimilation efficiencies are the likely reasons for the biomagnification of SAs. The pH dependent distribution coefficients (log D) but not the lipophilicity (log KOW) of SAs and FQs had a significant correlation (r = 0.73; p < 0.05) with their TMFs. Although the calculated estimated daily intakes (EDI) for antibiotics suggest that consumption of seafood from Laizhou Bay is not associated with significant human health risks, this study provides important insights into the guidance of risk management of antibiotics.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Abundance profiles of different antibiotic classes (percentage of the total measured concentrations) reveal significant differences among invertebrates, benthic fish and pelagic fish. SAs, TMP, FQs and MLs represent sulfonamides, trimethoprim, fluoroquinolones and macrolides, respectively.
Figure 2
Figure 2
Relative carbon sources and trophic levels (TL) characterize the food web relationships of the species collected from Laizhou Bay. Green circles ( formula image), blue diamonds ( formula image) and black triangles (△) represent invertebrates, benthic fish and pelagic fish, respectively. Data are presented as mean ± one standard deviation of relative carbon sources (n = 3) and TL values (n = 3). The red vertical solid line and dotted lines represent the mean value of relative carbon sources for all species and the boundaries of relative carbon sources for species in the same food web.
Figure 3
Figure 3
Relationships between trophic levels (TL) and log-transformed wet weight normalized concentrations (ww) describe trophic magnification for (a) sulfamethoxazole, (b) trimethoprim and trophic dilution for (c) enrofloxacin, (d) ofloxacin, (e) azithromycin and (f) anhydroerythromycin in the marine food web from Laizhou Bay. Slopes, correlation coefficients (r), p-values and trophic magnification factors (TMF) from the regression analyses are shown (Table S9 for additional details). Data are presented as mean ± one standard deviation of TL values (n = 3) and log-transformed antibiotic concentrations which were detected in at least two out of three homogenized samples.
Figure 4
Figure 4
Relationships between TMFs of detected antibiotics and physicochemical factors (logKOW (a) and logD values (b)). The TMF values for SAs, trimethoprim, FQs and MLs are indicated by blue triangles ( formula image), red circles ( formula image), green inverted triangles ( formula image) and orange diamonds ( formula image), respectively. Equations, correlation coefficients (r) and p-values of the regression analyses are shown. LogKOW and logD values of antibiotics (Table S1) were collected from elsewhere.

Similar articles

Cited by

References

    1. Zhu YG, Johnson TA, Su JQ, Qiao M, Guo GX, Stedtfeld RD, Hashsham SA, Tiedje JM. Diverse and abundant antibiotic resistance genes in Chinese swine farms. P. Natl. Acad. Sci. USA. 2013;110(9):3435–3440. doi: 10.1073/pnas.1222743110. - DOI - PMC - PubMed
    1. Zhang QQ, Ying GG, Pan CG, Liu YS, Zhao JL. Comprehensive evaluation of antibiotics emission and fate in the river basins of China: Source analysis, multimedia modelling, and linkage to bacterial resistance. Environ. Sci. Technol. 2015;49(11):6772–6782. doi: 10.1021/acs.est.5b00729. - DOI - PubMed
    1. Bound JP, Voulvoulis N. Pharmaceuticals in the aquatic environment - a comparison of risk assessment strategies. Chemosphere. 2004;56(11):1143–1155. doi: 10.1016/j.chemosphere.2004.05.010. - DOI - PubMed
    1. Zou SC, Xu WH, Zhang RJ, Tang JH, Chen YJ, Zhang G. Occurrence and distribution of antibiotics in coastal water of the Bohai Bay, China: Impacts of river discharge and aquaculture activities. Environ. Pollut. 2011;159(10):2913–2920. doi: 10.1016/j.envpol.2011.04.037. - DOI - PubMed
    1. Shi H, Yang Y, Liu M, Yan CX, Yue HY, Zhou JL. Occurrence and distribution of antibiotics in the surface sediments of the Yangtze Estuary and nearby coastal areas. Mar. Pollut. Bull. 2014;83(1):317–323. doi: 10.1016/j.marpolbul.2014.04.034. - DOI - PubMed

Publication types

Substances

LinkOut - more resources