秦皇岛昌黎海域微生物群落与抗生素耐药基因季节性分布特征
作者:
作者单位:

1.北京市科学技术研究院分析测试研究所(北京市理化分析测试中心), 北京 100089 ;2.国家卫生健康委员会食品安全风险评估重点实验室, 北京 100022 ;3.中国水产科学研究院, 农业农村部水产品质量安全控制重点实验室, 北京 100141 ;4.北京市计算中心, 北京 100094

作者简介:

王秋水(1991-),女,博士,副研究员,研究方向为微生物多样性分析及抗生素抗性基因赋存表征.E-mail:wangqius9182901@hotmail.com

中图分类号:

S917

基金项目:

国家卫生健康委食品安全风险评估重点实验室开放课题资助课题项目(2024-15); 世界自然基金会蔚蓝星球基金三期项目(PORO001427)


Seasonal distributions of microbial communities and antibiotic resistance genes in the coastal waters of Changli County, Qinhuangdao City
Author:
Affiliation:

1.Institute of Analysis and Testing, Beijing Academy of Science and Technology (Beijing Center for Physical andChemical Analysis), Beijing 100089 , China ;2.NHC Key Laboratory of Food Safety Risk Assessment, Beijing 100022 , China ;3.Key Laboratory of Aquatic Product Quality and Safety Control, Ministry of Agriculture and Rural Affairs, ChineseAcademy of Fishery Sciences, Beijing 100141 , China ;4.Beijing Computing Center, Beijing 100094 , China

  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [26]
  • |
  • 相似文献 [20]
  • | | |
  • 文章评论
    摘要:

    为深入了解秦皇岛昌黎海域微生物群落结构与抗性基因季节性赋存特征, 采用宏基因组测序技术对昌黎海域的海水、底泥和矛尾复虾虎鱼(Synchogobius hasta)肠道内容物进行分析。结果显示, 昌黎海域样本微生物组成主要是细菌类, 最优势的细菌门是变形菌门(Proteobacteria), 最优势的细菌属是发光杆菌属(Photobacterium)。海水中的主要抗生素耐药基因(antibiotic resistance genes, ARGs)类型是 APH2_IIavanXYGOXA_325TriC, 底泥中的最主要抗生素耐药基因类型是 bcrBvanHOadeSEreA 等, 矛尾复虾虎鱼肠道内容物中抗生素耐药基因主要是 msrEemrKQnrB4 等。网络分析揭示了该海域的属水平的微生物类群与抗生素耐药基因高度相关, 并且主要类群的属都是多重耐药菌株, 抗生素的外排泵是该微生物群落主要的抗生素耐药机制。本研究发现昌黎扇贝养殖区具有丰富的抗生素耐药菌和抗生素耐药基因, 且与水产养殖生产中常用抗生素类别较为吻合, 提示后续应加强对该养殖海域中抗生素耐药菌和抗生素耐药基因的持续监控。

    Abstract:

    The extensive use of antibiotics in industrial and agricultural activities has resulted in environmental deterioration, drug residues, bacterial resistance, and imbalanced microbial structure in the marine environment, affecting the function of the marine ecosystem. To understand the seasonal distributions of microbial communities and resistance genes in the sea area of Changli County, Qinhuangdao City, metagenomic sequencing technology was used to sample and analyze the seawater, sediments, and intestinal contents of the local fish, Synechogobius hasta. The microbial composition of the seawater samples in Changli County was mainly bacterial. Proteobacteria was the most dominant bacterial phyla, with Photobacterium being the most abundant genus. The main types of antibiotic resistance genes in seawater were APH2_IIa, vanXYG, OXA_325, and TriC, whereas in sediments were bcrB, vanHO, adeS, and EreA. Meanwhile, the main types of antibiotic resistance genes in the intestinal contents of the Synechogobius hasta were msrE, emrK, and QnrB4. Network analysis revealed that microbial genus level in the sea area was highly associated with antibiotic resistance genes, and the main genera were multi-resistant strains. The efflux pump of antibiotics is the main antibiotic resistance mechanism in this microbial community. The scallop farming area in Changli County is rich in antibiotic resistant bacteria and genes, which align with the commonly used antibiotic categories in aquaculture production. Enhancing the continuous monitoring of antibiotic-resistant bacteria and genes in the aquaculture area is urgently required.

    参考文献
    [1] Jiao N Z.Marine Microbial Ecology[M].Beijing:Science Press,2006.[焦念志.海洋微型生物生态学[M].北京:科学出版社,2006.]
    [2] Anderson R,Wylezich C,Glaubitz S,et al.Impact of protist grazing on a key bacterial group for biogeochemical cycling in Baltic Sea pelagic oxic/anoxic interfaces[J].Environmental Microbiology,2013,15(5):1580-1594.
    [3] Yan Q Q,Li B,Liao M J,et al.Distribution characteristics of antibiotic resistant bacteria and antimicrobial resistant genes in the intestine of cultured sea cucumber(Apostichopus japonicus)seedlings in Shandong Province[J].Progress in Fishery Sciences,2020,41(4):134-143.[闫倩倩,李彬,廖梅杰,等.山东主要刺参养殖区幼参肠道抗生素耐药菌及耐药基因分布特征[J].渔业科学进展,2020,41(4):134-143.]
    [4] Cheng B,Ai X H,Chang Z Q,et al.Direction of innovation and development for the study on drug metabolism residues of aquatic animals—The prediction technique based on PBPK model[J].Chinese Fishery Quality and Standards,2017,7(6):42-47.[程波,艾晓辉,常志强,等.水产动物药物代谢残留研究及创新发展方向——基于PBPK模型的残留预测技术[J].中国渔业质量与标准,2017,7(6):42-47.]
    [5] Shen Y W,Huang Z T,Xie B.Advances in research of pollution,degradation and removal of antibiotics and antibiotic resistance genes in the environment[J].Chinese Journal of Applied and Environmental Biology,2015,21(2):181-187.[沈怡雯,黄智婷,谢冰.抗生素及其抗性基因在环境中的污染、降解和去除研究进展[J].应用与环境生物学报,2015,21(2):181-187.]
    [6] Zhang H,Wang P L,Yang Q X,et al.Distribution of multidrug-resistant bacteria and antibiotic-resistant genes in livestock manures[J].Environmental Science,2018,39(1):460-466.[张昊,王盼亮,杨清香,等.畜禽粪便中多重耐药细菌及耐药基因的分布特征[J].环境科学,2018,39(1):460-466.]
    [7] Zhang Y,Chen L J,Xie H,et al.Abundance of cell-associated and cell-free antibiotic resistance genes in two wastewater treatment systems[J].Environmental Science,2017,38(9):3823-3830.[张衍,陈吕军,谢辉,等.两座污水处理系统中细胞态和游离态抗生素抗性基因的丰度特征[J].环境科学,2017,38(9):3823-3830.]
    [8] Pruden A,Pei R T,Storteboom H,et al.Antibiotic resistance genes as emerging contaminants:Studies in northern Colorado [J].Environmental Science & Technology,2006,40(23):7445-7450.
    [9] Liu Z B,Klümper U,Shi L,et al.From pig breeding environment to subsequently produced pork:Comparative analysis of antibiotic resistance genes and bacterial community composition[J].Frontiers in Microbiology,2019,10:43.
    [10] Qiao M,Ying G G,Singer A C,et al.Review of antibiotic resistance in China and its environment[J].Environment International,2018,110:160-172.
    [11] Wang Y Z,Wang C,Song L.Distribution of antibiotic resistance genes and bacteria from six atmospheric environments:Exposure risk to human[J].Science of the Total Environment,2019,694:133750.
    [12] Suzuki S,Nakanishi S,Tamminen M,et al.Occurrence of Sul and Tet(M)genes in bacterial community in Japanese marine aquaculture environment throughout the year:Profile comparison with Taiwan residents and Finnish aquaculture waters [J].Science of the Total Environment,2019,669:649-656.
    [13] Wu J J,Su Y L,Deng Y Q,et al.Prevalence and distribution of antibiotic resistance in marine fish farming areas in Hainan,China[J].Science of the Total Environment,2019,653:605-611.
    [14] Wang Q S,Cheng B,Liu Y,et al.Analysis of bacterial communities and antibiotic resistance genes in the aquaculture area of Changli County[J].Environmental Science,2024,45(1):567-575.[王秋水,程波,刘悦,等.昌黎县海域细菌群落和抗生素抗性基因分析[J].环境科学,2024,45(1):567-575.]
    [15] Li D H,Liu C M,Luo R B,et al.MEGAHIT:An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph[J].Bioinformatics,2015,31(10):1674-1676.
    [16] Fu L M,Niu B F,Zhu Z W,et al.CD-HIT:Accelerated for clustering the next-generation sequencing data[J].Bioinformatics,2012,28(23):3150-3152.
    [17] Langmead B,Salzberg S L.Fast gapped-read alignment with bowtie 2[J].Nature Methods,2012,9(4):357-359.
    [18] Labella A M,Arahal D R,Lucena T,et al.Photobacterium toruni sp.nov.,a bacterium isolated from diseased farmed fish[J].International Journal of Systematic and Evolutionary Microbiology,2017,67(11):4518-4525.
    [19] Li S S,Gao H,Zhao F Q,et al.Research progress on the occurrence and influencing factors of antibiotic resistance genes in aquaculture environment[J].China Environmental Science,2021,41(11):5314-5325.[李十盛,高会,赵富强,等.水产养殖环境中抗生素抗性基因的研究进展[J].中国环境科学,2021,41(11):5314-5325.]
    [20] Chen H L,Zhang X T,Wang Q,et al.Metagenomic analysis of antibiotic resistant bacteria and resistance genes in a pharmaceutical and chemical wastewater treatment plant[J].Environmental Science,2020,41(1):313-320.[陈红玲,张兴桃,王晴,等.宏基因组方法分析医药化工废水厂中抗生素耐药菌及耐性基因[J].环境科学,2020,41(1):313-320.]
    [21] Liu J W,Liu J,Huang F Y,et al.The expanding knowledge of marine thaumarchaeota:From new groups to new functions [J].Acta Microbiologica Sinica,2022,62(12):4628-4645.[刘吉文,刘姣,黄付燕,等.海洋奇古菌门认知的拓展:从新类群到新功能[J].微生物学报,2022,62(12):4628-4645.]
    [22] Assunção J,Amaro H M,Malcata F X,et al.Cyanobacterial pigments:Photosynthetic function and biotechnological purposes[M]//The Pharmacological Potential of Cyanobacteria.Amsterdam:Elsevier,2022:201-256.
    [23] Zhang Z H,Tang L L,Liang Y T,et al.The relationship between two Synechococcus strains and heterotrophic bacterial communities and its associated carbon flow[J].Journal of Applied Phycology,2021,33(2):953-966.
    [24] Cai R N,Zhang J,Liu R,et al.Metagenomic insights into the metabolic and ecological functions of abundant deep-sea hydrothermal vent DPANN archaea[J].Applied and Environmental Microbiology,2021,87(9):e03009-20.
    [25] Hutchins D A,Fu F X.Microorganisms and ocean global change[J].Nature Microbiology,2017,2:17058.
    [26] Li Y D,Jing H M,Xia X M,et al.Metagenomic insights into the microbial community and nutrient cycling in the western subarctic Pacific Ocean[J].Frontiers in Microbiology,2018,9:623.
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

王秋水,邓婕,王胜楠,程波,刘悦,袁寒玉,王伟,高丽娟.秦皇岛昌黎海域微生物群落与抗生素耐药基因季节性分布特征[J].中国水产科学,2024,31(11):1399-1410
WANG Qiushui, DENG Jie, WANG Shengnan, CHENG Bo, LIU Yue, YUAN Hanyu, WANG Wei, GAO Lijuan. Seasonal distributions of microbial communities and antibiotic resistance genes in the coastal waters of Changli County, Qinhuangdao City[J]. Journal of Fishery Sciences of China,2024,31(11):1399-1410

复制
分享
文章指标
  • 点击次数:124
  • 下载次数: 60
  • HTML阅读次数: 172
  • 引用次数: 0
历史
  • 收稿日期:2024-06-04
  • 最后修改日期:2024-08-23
  • 在线发布日期: 2025-02-11
文章二维码