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Abstract
Our ability to predict evolutionary trajectories of pathogens in response to antibiotic pressure is one of the promising leverage to fight against the present antibiotic resistance worldwide crisis. Yet, few studies tackled this question in situ at the outbreak level, due to the difficulty to link a given pathogenic clone evolution with its precise antibiotic exposure over time. In this study, we monitored the real-time evolution of an Aeromonas salmonicida clone in response to successive antibiotic and vaccine therapies in a commercial fish farm. The clone was responsible for a four-year outbreak of furunculosis within a Recirculating Aquaculture System Salmo salar farm in China, and we reconstructed the precise tempo of mobile genetic elements (MGEs) acquisition events during this period. The resistance profile provided by the acquired MGEs closely mirrored the antibiotics used to treat the outbreak, and we evidenced that two subclonal groups developed similar resistances although unrelated MGE acquisitions. Finally, we also demonstrated the efficiency of vaccination in outbreak management and its positive effect on antibiotic resistance prevalence. Our study provides unprecedented knowledge critical to understand evolutionary trajectories of resistant pathogens outside the laboratory.
Original language | English |
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Pages (from-to) | 1113-1123 |
Number of pages | 11 |
Journal | Environmental Microbiology |
Volume | 21 |
Issue number | 3 |
Early online date | 13 Jan 2019 |
DOIs | |
Publication status | Published - 13 Mar 2019 |
Bibliographical note
Funding Information:We are grateful to Ruifu Yang from Beijing Institute of Microbiology and Epidemiology for helpful comments and suggestions. This work was supported by the National Key Basic Research Development Plan of China (973 Program) (grant 2015CB554202), the Beijing Municipal Science & Technology Commission (grant Z161100000116042), the Shan-dong Province independent innovation and achievements transformation fund (grant 2014ZZCX06204) and SanMing Project of Medicine in Shenzhen (No. SZSM201811071).
Publisher Copyright:
© 2019 Society for Applied Microbiology and John Wiley & Sons Ltd.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
Funding
We are grateful to Ruifu Yang from Beijing Institute of Microbiology and Epidemiology for helpful comments and suggestions. This work was supported by the National Key Basic Research Development Plan of China (973 Program) (grant 2015CB554202), the Beijing Municipal Science & Technology Commission (grant Z161100000116042), the Shan-dong Province independent innovation and achievements transformation fund (grant 2014ZZCX06204) and SanMing Project of Medicine in Shenzhen (No. SZSM201811071).
ASJC Scopus subject areas
- Microbiology
- Ecology, Evolution, Behavior and Systematics
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