Deep sequencing reveals comprehensive insight into the prevalence, mobility, and hosts of antibiotic resistance genes in mangrove ecosystems. (1st June 2023)

• Record Type: Journal Article
• Authors: Liu, Zongbao; Wan, Xiulin; Zhang, Cuijing; Cai, Mingwei; Pan, Yueping; Li, Meng
• Is Part Of: Journal of environmental management. Volume 335(2023)
• Publication Date: 2023-06-01
• Subjects: Antibiotic resistance genes -- Mangrove ecosystems -- Metagenomics -- Mobile genetic elements -- Bacterial communities; Environmental policy -- Periodicals; Environmental management -- Periodicals; Environment -- Periodicals; Ecology -- Periodicals; 363.705
• DOI: 10.1016/j.jenvman.2023.117580
• Languages: English
• ISSNs: 0301-4797

Abstract

Abstract: Mangrove receives aquaculture wastewater and urban sewage, and thus is a potential reservoir for antibiotic resistance genes (ARGs). However, there is a dearth of a comprehensive profile of ARGs in mangrove ecosystems. We used metagenomic techniques to uncover the occurrence, host range, and potential mobility of ARGs in six mangrove ecosystems in southeastern China. Based on deep sequencing data, a total of 348 ARG subtypes were identified. The abundant ARGs were associated with acriflavine, bacitracin, beta-lactam, fluoroquinolone, macrolide-lincosamide-streptogramin, and polymyxin. Resistance genes tetR, aac(6′)-Iae, aac(3)-IXa, vanRA, vanRG, and aac(3)-Ig were proposed as ARG indicators in mangrove ecosystems that can be used to evaluate the abundance of 100 other co-occurring ARGs quantitatively. Remarkably, 250 of 348 identified ARG subtypes were annotated as mobile genetic elements-associated ARGs, indicating a high potential risk of propagation of ARGs in mangrove ecosystems. By surveying the distribution of ARGs in 6281 draft genomes, more than 42 bacterial phyla were identified as the putative hosts of the ARGs. Among them, 21.97% were potentially multidrug-resistant hosts, including human and animal opportunistic pathogens. This research adds to our understanding of the distribution and spread of antibiotic resistomes in mangrove ecosystems, helping improve ARG risk assessment and management worldwide. Graphical abstract: Image 1 Highlights: Deep sequencing data conducted a more comprehensive profiling of ARGs. Six ARGs were proposed as indicators for ARG contamination in mangrove ecosystems. More than 70% of identified ARG types were annotated as MGE-associated. MetaGenomic binning revealed extremely high diversity of putative ARG hosts.