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中国巢湖抗生素抗性基因的分布现状及影响因素

Distribution status and influencing factors of antibiotic resistance genes in the Chaohu Lake, China.

作者信息

Zhang Yan, Ding Guoao, Gao Yue, Li Ying, Zhou Peng, Wu Li, Zhou Minghui, Wang Jingjing, Tang Jun

机构信息

Key Laboratory of Environmental Hormones and Reproductive Development, Anhui Province, Fuyang Normal University, Fuyang, China.

School of Food and Biological Engineering, Hefei Normal University, Hefei, China.

出版信息

PeerJ. 2025 Apr 25;13:e19384. doi: 10.7717/peerj.19384. eCollection 2025.

Abstract

BACKGROUND

Chaohu Lake (CL) is one of the most polluted areas in China due to its high content of antibiotics. However, the distribution and influencing factors of antibiotic resistance genes (ARGs) in this lake are still controversial.

METHODS

To solve this problem, we used metagenomic sequencing to investigate the distribution and in-fluencing factors of ARGs in CL.

RESULTS

Our findings revealed the existence of nine kinds of ARGs, including 45 specific genes. The most abundant types were multidrug, bacitracin, polymyxin, macrolide lincosamide streptogramin, and aminoglycoside. Multiple microorganisms were undeniable ARG reservoirs, although they were not dominant species in the microbiota. Our results also showed that both the microbiota and physiochemical factors played important roles in shaping the distributions of ARGs in CL. Specifically, the levels of PO4-P (0.5927) and total phosphorus (0.4971) had a greater impact than total nitrogen (0.0515), NON (0.0352), NO2-N (-0.1975), and NH3-N (-0.0952).

CONCLUSIONS

These findings provide valuable insights into the distribution and influencing factors of ARGs in lakes.

摘要

背景

巢湖是中国污染最严重的地区之一,因其抗生素含量高。然而,该湖泊中抗生素抗性基因(ARGs)的分布及影响因素仍存在争议。

方法

为解决这一问题,我们采用宏基因组测序技术研究巢湖ARGs的分布及影响因素。

结果

我们的研究结果揭示了9种ARGs的存在,包括45个特定基因。最丰富的类型是多药、杆菌肽、多粘菌素、大环内酯林可酰胺链阳霉素和氨基糖苷类。多种微生物无疑是ARGs的储存库,尽管它们在微生物群中并非优势物种。我们的结果还表明,微生物群和理化因素在巢湖ARGs分布的形成中都发挥了重要作用。具体而言,PO4-P(0.5927)和总磷(0.4971)水平的影响大于总氮(0.0515)、NON(0.0352)、NO2-N(-0.1975)和NH3-N(-0.0952)。

结论

这些发现为湖泊中ARGs的分布和影响因素提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e35d/12036580/edb545e87b77/peerj-13-19384-g001.jpg

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