Impact of salmon farming in the antibiotic resistance and structure of marine bacterial communities from surface seawater of a northern Patagonian area of Chile.

IF 4.3 2区 生物学 Q1 BIOLOGY Biological Research Pub Date : 2024-11-10 DOI:10.1186/s40659-024-00556-4
Javiera Ortiz-Severín, Christian Hodar, Camila Stuardo, Constanza Aguado-Norese, Felipe Maza, Mauricio González, Verónica Cambiazo
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Abstract

Background: Aquaculture and salmon farming can cause environmental problems due to the pollution of the surrounding waters with nutrients, solid wastes and chemicals, such as antibiotics, which are used for disease control in the aquaculture facilities. Increasing antibiotic resistance in human-impacted environments, such as coastal waters with aquaculture activity, is linked to the widespread use of antibiotics, even at sub-lethal concentrations. In Chile, the world's second largest producer of salmon, aquaculture is considered the primary source of antibiotics residues in the coastal waters of northern Patagonia. Here, we evaluated whether the structure and diversity of marine bacterial community, the richness of antibiotic resistance bacteria and the frequency of antibiotic resistance genes increase in communities from the surface seawater of an area with salmon farming activities, in comparison with communities from an area without major anthropogenic disturbance.

Results: The taxonomic structure of bacterial community was significantly different between areas with and without aquaculture production. Growth of the culturable fraction under controlled laboratory conditions showed that, in comparison with the undisturbed area, the bacterial community from salmon farms displayed a higher frequency of colonies resistant to the antibiotics used by the salmon industry. A higher adaptation to antibiotics was revealed by a greater proportion of multi-resistant bacteria isolated from the surface seawater of the salmon farming area. Furthermore, metagenomics data revealed a significant higher abundance of antibiotic resistant genes conferring resistance to 11 antibiotic families in the community from salmon farms, indicating that the proportion of bacteria carrying the resistance determinants was overall higher in salmon farms than in the undisturbed site.

Conclusions: Our results revealed an association between bacterial communities and antibiotic resistance from surface seawater of a coastal area of Chile. Although the total bacterial community may appear comparable between sites, the cultivation technique allowed to expose a higher prevalence of antibiotic resistant bacteria in the salmon farming area. Moreover, we demonstrated that metagenomics (culture-independent) and phenotypic (culture-dependent) methods are complementary to evaluate the bacterial communities' risk for antibiotic resistance, and that a human-influenced environment (such as salmon farms) can potentiate bacteria to adapt to environmental stresses, such as antibiotics.

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鲑鱼养殖对智利巴塔哥尼亚北部表层海水中海洋细菌群落的抗生素耐药性和结构的影响。
背景:水产养殖和鲑鱼养殖会造成环境问题,因为营养物质、固体废物和化学品(如水产养殖设施中用于疾病控制的抗生素)会污染周围水域。在受人类影响的环境(如有水产养殖活动的沿海水域)中,抗生素抗药性的增加与抗生素的广泛使用有关,即使是亚致死浓度的抗生素。智利是世界第二大鲑鱼生产国,水产养殖被认为是巴塔哥尼亚北部沿海水域抗生素残留的主要来源。在此,我们评估了有鲑鱼养殖活动地区表层海水中的海洋细菌群落的结构和多样性、抗生素耐药菌的丰富度以及抗生素耐药基因的频率,与无重大人为干扰地区的群落进行了比较:结果:细菌群落的分类结构在有水产养殖和无水产养殖区域之间存在显著差异。在受控实验室条件下,可培养部分的生长情况表明,与未受干扰地区相比,鲑鱼养殖场的细菌群落对鲑鱼业使用的抗生素具有抗药性的菌落频率更高。从鲑鱼养殖区的表层海水中分离出的多重耐药细菌比例更高,这表明鲑鱼养殖区的细菌群落对抗生素的适应性更强。此外,元基因组学数据显示,鲑鱼养殖场群落中对 11 个抗生素家族具有抗药性的抗生素基因的丰度显著较高,这表明鲑鱼养殖场中携带抗药性决定因子的细菌比例总体上高于未受干扰的地点:我们的研究结果表明,智利沿海地区表层海水中的细菌群落与抗生素耐药性之间存在关联。尽管不同地点的细菌群落总数可能相当,但培养技术却揭示了鲑鱼养殖区抗生素耐药性细菌的流行率更高。此外,我们还证明了元基因组学(不依赖于培养)和表型(依赖于培养)方法在评估细菌群落的抗生素耐药性风险方面是互补的,而且受人类影响的环境(如鲑鱼养殖场)会增强细菌对环境压力(如抗生素)的适应能力。
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来源期刊
Biological Research
Biological Research 生物-生物学
CiteScore
10.10
自引率
0.00%
发文量
33
审稿时长
>12 weeks
期刊介绍: Biological Research is an open access, peer-reviewed journal that encompasses diverse fields of experimental biology, such as biochemistry, bioinformatics, biotechnology, cell biology, cancer, chemical biology, developmental biology, evolutionary biology, genetics, genomics, immunology, marine biology, microbiology, molecular biology, neuroscience, plant biology, physiology, stem cell research, structural biology and systems biology.
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