元基因组学方法揭示了抗生素耐药性基因组在非集约化水产养殖环境和人类之间的流动性和共存性。

IF 13.8 1区 生物学 Q1 MICROBIOLOGY
Li Tian, Guimei Fang, Guijie Li, Liguan Li, Tong Zhang, Yanping Mao
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引用次数: 0

摘要

背景:水产养殖是全球重要的食物来源。集约化大规模养殖中抗生素的广泛使用导致了抗药性的产生。非集约化水产养殖是另一种有利于生态保护、与自然环境密切相关的水产饲养模式。然而,抗药性在非集约化水产养殖中的传播还没有得到很好的描述。此外,水产养殖中的抗性基因组对人类健康的影响也有待进一步了解。本文采用元基因组学方法来确定水产养殖抗性基因组的流动性,并估计其对人类健康的潜在风险:结果表明,抗生素抗性基因(ARGs)广泛存在于非集约化水产养殖系统中,其中多药型抗生素抗性基因最多,占34%。非集约化水产养殖环境中的 ARGs 主要由微生物群落形成,占 51%。77个属和36个移动遗传元素(MGEs)与23种ARG类型显著相关(p 80%),占鱼类肠道样本中ARG丰度的40%。共鉴定出 71 个携带 ARG 的等位基因,其中 75% 的等位基因同时携带 MGEs。qacEdelta1 和 sul1 形成了稳定的组合,在水产养殖环境和人类中同时被检测到。此外,还发现了 475 个高质量的元基因组组装基因组(MAGs),其中 81 个 MAGs 携带 ARGs。多药耐药性基因和杆菌肽耐药性基因是 MAGs 携带最多的 ARG 类型。令人震惊的是,在水产养殖系统和人类内脏中都发现了携带 ARGs 和 MGEs 的 Fusobacterium_A(机会性人类病原体),这表明了 ARG 转移的潜在风险:通过元基因组学方法探讨了水产养殖抗性基因组的流动性和致病性。鉴于在水产养殖环境和人类之间观察到的抗性基因组共存现象,可能需要对非集约化水产养殖系统中的抗性基因组进行更严格的监管。视频摘要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metagenomic approach revealed the mobility and co-occurrence of antibiotic resistomes between non-intensive aquaculture environment and human.

Background: Aquaculture is an important food source worldwide. The extensive use of antibiotics in intensive large-scale farms has resulted in resistance development. Non-intensive aquaculture is another aquatic feeding model that is conducive to ecological protection and closely related to the natural environment. However, the transmission of resistomes in non-intensive aquaculture has not been well characterized. Moreover, the influence of aquaculture resistomes on human health needs to be further understood. Here, metagenomic approach was employed to identify the mobility of aquaculture resistomes and estimate the potential risks to human health.

Results: The results demonstrated that antibiotic resistance genes (ARGs) were widely present in non-intensive aquaculture systems and the multidrug type was most abundant accounting for 34%. ARGs of non-intensive aquaculture environments were mainly shaped by microbial communities accounting for 51%. Seventy-seven genera and 36 mobile genetic elements (MGEs) were significantly associated with 23 ARG types (p < 0.05) according to network analysis. Six ARGs were defined as core ARGs (top 3% most abundant with occurrence frequency > 80%) which occupied 40% of ARG abundance in fish gut samples. Seventy-one ARG-carrying contigs were identified and 75% of them carried MGEs simultaneously. The qacEdelta1 and sul1 formed a stable combination and were detected simultaneously in aquaculture environments and humans. Additionally, 475 high-quality metagenomic-assembled genomes (MAGs) were recovered and 81 MAGs carried ARGs. The multidrug and bacitracin resistance genes were the most abundant ARG types carried by MAGs. Strikingly, Fusobacterium_A (opportunistic human pathogen) carrying ARGs and MGEs were identified in both the aquaculture system and human guts, which indicated the potential risks of ARG transfer.

Conclusions: The mobility and pathogenicity of aquaculture resistomes were explored by a metagenomic approach. Given the observed co-occurrence of resistomes between the aquaculture environment and human, more stringent regulation of resistomes in non-intensive aquaculture systems may be required. Video Abstract.

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来源期刊
Microbiome
Microbiome MICROBIOLOGY-
CiteScore
21.90
自引率
2.60%
发文量
198
审稿时长
4 weeks
期刊介绍: Microbiome is a journal that focuses on studies of microbiomes in humans, animals, plants, and the environment. It covers both natural and manipulated microbiomes, such as those in agriculture. The journal is interested in research that uses meta-omics approaches or novel bioinformatics tools and emphasizes the community/host interaction and structure-function relationship within the microbiome. Studies that go beyond descriptive omics surveys and include experimental or theoretical approaches will be considered for publication. The journal also encourages research that establishes cause and effect relationships and supports proposed microbiome functions. However, studies of individual microbial isolates/species without exploring their impact on the host or the complex microbiome structures and functions will not be considered for publication. Microbiome is indexed in BIOSIS, Current Contents, DOAJ, Embase, MEDLINE, PubMed, PubMed Central, and Science Citations Index Expanded.
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