A data compilation of antibiotic treatments in Canadian finfish aquaculture from 2016 to 2021 and the cumulative usage of antibiotics and antiparasitic drugs at marine sites.

Abstract

Antibiotics can be introduced from aquaculture facilities into marine sediments where they may affect benthic communities and generate antimicrobial resistance (AMR). Antibiotics can be used in tandem with antiparasitics and the effects of their combined usage could affect AMR patterns and transmit antibiotic resistance genes. This study compiles patterns of antibiotic and antiparasitic drug usage from 2016-2021 in British Columbia, New Brunswick, Newfoundland and Labrador, and Nova Scotia (Canada) and compares them internationally. There is an overall reduction in rates of antibiotic use per fish produced in Canadian aquaculture sites from 2016-2021. Compared to other salmon-producing countries, Canadian antibiotic rates per ton of fish are lower than Chile, but higher, on average, than Norway and Scotland. Florfenicol (FLO) and oxytetracycline (OTC) are the prevalent antibiotics used in most salmon-producing countries including Canada. We also note that <30% of sites used two drugs per year, <18% of sites used three drugs with most of these sites using one antibiotic and one antiparasitic. There is an increase in FLO and a decrease use in OTC in Canada, which could be positive environmentally considering FLO's lower dose and environmental persistence. The East and West Coasts show comparable antibiotic rates with an average rate of 78 mg/kg in BC and 76 mg/kg in the Atlantic provinces, however, have differences in the type of antibiotic (average use of OTC: BC 38 mg/kg vs. Atlantic 214 mg/kg; average use of FLO: BC 40 mg/kg vs. Atlantic 10 mg/kg). Other distinctions between coasts include variation in the timing of treatments with seasonal use in the Atlantic provinces (May–November) and year-round use in BC. This pattern is likely influenced by differences in water temperature and subsequently, potential susceptibility to aquatic diseases. Disease prevalence and veterinarian choice/ preferred treatments are factors that we hypothesize may impact treatment choice; however, additional information is required to adequately comment on this point. This data compilation includes spatial descriptions that could be used for area prioritization for future studies.