文献类型： 外文期刊
作者： Yang, Yiwen 1 ; Cai, Shuang 2 ; Mo, Chunhao 3 ; Dong, Junjie 4 ; Chen, Sheng 5 ; Wen, Zhiguo 1 ;
作者机构： 1.Chinese Acad Agr Sci, Minist Agr & Rural Affairs, Inst Feed Res, Key Lab Feed Biotechnol, Beijing, Peoples R China
2.China Agr Univ, Feed Ind Ctr, Minist Agr & Rural Affairs, State Key Lab Anim Nutr & Feeding, Beijing, Peoples R China
3.South China Agr Univ, Coll Anim Sci, State Key Lab Swine & Poultry Breeding Ind, Guangdong Prov Key Lab Agroanim Genom & Mol Breedi, Guangzhou, Peoples R China
4.Dalian Univ Technol, Sch Software, Dalian, Peoples R China
5.Hong Kong Polytech Univ, State Key Lab Chem Biol & Drug Discovery, Hong Kong, Peoples R China
6.Hong Kong Polytech Univ, Dept Food Sci & Nutr, Hong Kong, Peoples R China
期刊名称：COMMUNICATIONS EARTH & ENVIRONMENT （ 影响因子：8.9； 五年影响因子：9.5 ）
ISSN：
年卷期： 2025 年 6 卷 1 期
页码：
收录情况： SCI
摘要： The water environment is considered to be a reservoir for antibiotic resistant bacteria and antibiotic resistance genes. However, profiles of antibiotic resistome risk in different water environments remain largely underexplored. Here we found that the number, abundance and risk of antibiotic resistance genes in wastewater, especially slaughterhouse wastewater, were higher than those in natural water. Then, 6167 high-quality metagenome-assembled genomes were obtained. The main hosts were Escherichia, Desulfobacter, Citrobacter and Pseudomonas_E, respectively. Moreover, distinct of patterns of horizontal gene transfer were observed in different microbes. Overall, microbial composition and resistance risk varied in different water environments and there was a correlation between microbial composition and resistome risk. Therefore, models based on microbial composition were constructed with an accuracy of 86.87 +/- 1.18% for predicting the risk of resistance in unknown water environments, providing an essential reference for dealing with antibiotic-resistant pollution and for water management.
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