Zhou Rui, Wang Yijie, Hilal Mian Gul, Yu Qiaoling, Feng Tianshu, Li Huan
School of Public Health, Lanzhou University, Lanzhou, 730000, China.
School of Public Health, Lanzhou University, Lanzhou, 730000, China; Center for Grassland Microbiome, Lanzhou University, Lanzhou, 730000, China.
J Hazard Mater. 2021 Feb 5;403:123795. doi: 10.1016/j.jhazmat.2020.123795. Epub 2020 Sep 9.
Carcass decomposition in water may cause serious environmental pollution, which poses a great threat to water quality and public health. However, water microbial community succession and antibiotic resistance genes (ARGs) during carcass decomposition process are less explored. Using high-throughput sequencing and high-throughput quantitative PCR techniques, the temporal succession of water bacterial communities and ARGs profiles in experimental groups (fish carcasses) and control groups (no carcasses) containing two different types of water (the Yellow River water and tap water) in different successional stages were studied. Our results showed that NH-N concentration in the corpse groups has greatly risen and exceeded more than 28 times on average over the safety thresholds of water quality. Some potential pathogenic genera Comamonas, Bacteroides and Pseudomonas significantly increased during carcass decomposition process. The bacterial communities of the Yellow River water and tap water in the experimental groups exhibited similar succession patterns, and community dissimilarities between the two groups decreased and smaller over time, indicating that bacterial community convergence. NH-N, NO-N and time were three most important factors in determining bacteria community structures. The influence of water type on corpse bacterial community structures was significant but weak. The gene copy number of seven detected ARGs (cmlA1-01, floR, sul1, sul2, tetG-01, tetM-01 and tetQ) in the experimental groups was more abundant than that in the control groups. The ARGs concentrations in the corpse groups were even enriched 19-fold (minimum) to 148-fold (maximum) compared to the gene tetQ of the Yellow River water in the control groups on the initial stage. Redundancy analysis (RDA) indicated that Bacteroidetes and Firmicutes were significantly correlated with all detected ARGs. This study emphasizes that cadaver degradation leads to the deterioration of nitrogen pollution, the abundance increase of potential pathogens, and the transfer of ARGs from dead animals to water environment, thereby uncovering the harmful effects of related water pollution for human health.
水中尸体分解可能会造成严重的环境污染,对水质和公众健康构成巨大威胁。然而,尸体分解过程中的水微生物群落演替和抗生素抗性基因(ARGs)却较少被研究。利用高通量测序和高通量定量PCR技术,研究了不同演替阶段含有两种不同类型水(黄河水和自来水)的实验组(鱼尸体)和对照组(无尸体)中水细菌群落的时间演替和ARGs谱。我们的结果表明,尸体组中的NH-N浓度大幅上升,平均超过水质安全阈值28倍以上。一些潜在的致病属,如丛毛单胞菌属、拟杆菌属和假单胞菌属在尸体分解过程中显著增加。实验组中黄河水和自来水的细菌群落呈现出相似的演替模式,两组之间的群落差异随着时间的推移而减小,表明细菌群落趋同。NH-N、NO-N和时间是决定细菌群落结构的三个最重要因素。水类型对尸体细菌群落结构的影响显著但较弱。实验组中检测到的7种ARGs(cmlA1-01、floR、sul1、sul2、tetG-01、tetM-01和tetQ)的基因拷贝数比对照组更丰富。与对照组初始阶段黄河水中的tetQ基因相比,尸体组中的ARGs浓度甚至富集了19倍(最小值)至148倍(最大值)。冗余分析(RDA)表明,拟杆菌门和厚壁菌门与所有检测到的ARGs显著相关。本研究强调,尸体降解导致氮污染恶化、潜在病原体数量增加以及ARGs从死动物向水环境转移,从而揭示了相关水污染对人类健康的有害影响。