摘要
      红树林容易受到污染物的影响，并成为抗生素抗性基因（ARGs）的汇点。然而，对ARGs对人类健康的风险及其在红树林生态系统中的影响因素的了解有限，尤其是在大规模范围内。在这里，我们应用高通量测序技术结合ARG风险评估框架，调查了中国南方红树林湿地的ARG及其公共健康风险。我们检测到456种ARG亚型，发现其中71种被确定为高危ARG，占总ARG丰度的0.25%。ARGs和细菌群落都显示出距离衰减的生物地理学，但ARGs的斜率更陡。共生网络特征和高风险ARG丰度之间的线性回归分析表明，网络中更多的连接将导致更高的健康风险。结构方程模型表明，地理距离和MGE是影响ARG模式的最具影响力的因素，ARG和MGE对红树林生态系统的健康风险状况贡献最大。这项工作为红树林生态系统中ARG的生物地理模式和健康风险评估提供了新的理解，并对红树林环境管理和ARG风险控制具有深远意义。
Abstract
Mangroves are prone to receive pollutants and act as a sink for antibiotic resistance genes (ARGs). However, knowledge of the human health risk of ARGs and its influencing factors in mangrove ecosystems is limited, particularly at large scales. Here, we applied a high-throughput sequencing technique combined with an ARG risk assessment framework to investigate the profiles of ARGs and their public health risks from mangrove wetlands across South China. We detected 456 ARG subtypes, and found 71 of them were identified as high-risk ARGs, accounting for 0.25 % of the total ARG abundance. Both ARGs and bacterial communities showed a distance-decay biogeography, but ARGs had a steeper slope. Linear regression analysis between features of co-occurrence network and high-risk ARG abundance implies that greater connections in the network would result in higher health risk. Structural equation models showed that geographic distance and MGEs were the most influential factors that affected ARG patterns, ARGs and MGEs contributed the most to the health risk profiles in mangrove ecosystems. This work provides a novel understanding of biogeographic patterns and health risk assessment of ARGs in mangrove ecosystems and can have profound significance for mangrove environment management with regard to ARG risk control.

https://www.sciencedirect.com/science/article/abs/pii/S0048969722059101