中国莱州湾南岸入海河流中抗生素耐药基因的出现和分布。

IF 1.9 4区 环境科学与生态学 Q4 ENGINEERING, ENVIRONMENTAL Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering Pub Date : 2024-01-01 Epub Date: 2024-10-10 DOI:10.1080/10934529.2024.2411774
Xinhua Fu, Dongxia Li, Fujun Peng
{"title":"中国莱州湾南岸入海河流中抗生素耐药基因的出现和分布。","authors":"Xinhua Fu, Dongxia Li, Fujun Peng","doi":"10.1080/10934529.2024.2411774","DOIUrl":null,"url":null,"abstract":"<p><p>The distribution of antibiotic resistance genes (ARGs) in Laizhou Bay affects the local socio-economic development. The study aimed to investigate the distribution of ARGs in the rivers that flow into the sea around Laizhou Bay's southern shore. Water and sediment samples were collected from different typical sites of rivers entering the sea in Weifang, including Mi River, Bai Lang River, Yu River, Wei River, Jiaolai River, Xiaoqing River and Di River. The species and abundance of ARGs in the sediments were characterized and quantified by macro-genome high-throughput sequencing technology. The species distribution of ARGs was compared. In two sediment samples and seven water samples, 24 ARGs types and 1244 subtypes of ARGs were detected, in which multidrug-resistant class was the main ARGs type and FBJ murine osteosarcoma viral oncogene homolog B (fosB) was the dominant ARGs. The types of ARG in the top ten of these samples were the same, although the proportion was different. Dominant ARG subtypes accounted for more than 50% of all the nine samples. This article provides basic data support for pollution status and environmental risk assessment as well as remediation of ARGs in rivers entering the sea along the south coast of Laizhou Bay.</p>","PeriodicalId":15671,"journal":{"name":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","volume":" ","pages":"420-427"},"PeriodicalIF":1.9000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Occurrence and distribution of antibiotic resistance genes in Rivers entering the sea from the South bank of Laizhou Bay, China.\",\"authors\":\"Xinhua Fu, Dongxia Li, Fujun Peng\",\"doi\":\"10.1080/10934529.2024.2411774\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The distribution of antibiotic resistance genes (ARGs) in Laizhou Bay affects the local socio-economic development. The study aimed to investigate the distribution of ARGs in the rivers that flow into the sea around Laizhou Bay's southern shore. Water and sediment samples were collected from different typical sites of rivers entering the sea in Weifang, including Mi River, Bai Lang River, Yu River, Wei River, Jiaolai River, Xiaoqing River and Di River. The species and abundance of ARGs in the sediments were characterized and quantified by macro-genome high-throughput sequencing technology. The species distribution of ARGs was compared. In two sediment samples and seven water samples, 24 ARGs types and 1244 subtypes of ARGs were detected, in which multidrug-resistant class was the main ARGs type and FBJ murine osteosarcoma viral oncogene homolog B (fosB) was the dominant ARGs. The types of ARG in the top ten of these samples were the same, although the proportion was different. Dominant ARG subtypes accounted for more than 50% of all the nine samples. This article provides basic data support for pollution status and environmental risk assessment as well as remediation of ARGs in rivers entering the sea along the south coast of Laizhou Bay.</p>\",\"PeriodicalId\":15671,\"journal\":{\"name\":\"Journal of Environmental Science and Health Part A-toxic\\\\/hazardous Substances & Environmental Engineering\",\"volume\":\" \",\"pages\":\"420-427\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Environmental Science and Health Part A-toxic\\\\/hazardous Substances & Environmental Engineering\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1080/10934529.2024.2411774\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/10 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Science and Health Part A-toxic\\/hazardous Substances & Environmental Engineering","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/10934529.2024.2411774","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/10 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

莱州湾抗生素耐药基因(ARGs)的分布影响着当地的社会经济发展。本研究旨在调查莱州湾南岸入海河流中 ARGs 的分布情况。研究在潍坊入海河流的不同典型地点采集了水样和沉积物样品,包括弥河、白浪河、虞河、潍河、胶莱河、小清河和祊河。利用宏基因组高通量测序技术对沉积物中 ARGs 的种类和丰度进行了定性和定量分析。比较了 ARGs 的物种分布。在2个沉积物样品和7个水样中,共检测到24种ARGs类型和1244个ARGs亚型,其中耐多药类是主要的ARGs类型,FBJ小鼠骨肉瘤病毒癌基因同源物B(fosB)是优势ARGs。这些样本中排名前十的 ARG 类型相同,但所占比例不同。在所有 9 个样本中,优势 ARG 亚型占 50%以上。本文为莱州湾南岸入海河流中 ARGs 的污染现状、环境风险评估及治理提供了基础数据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Occurrence and distribution of antibiotic resistance genes in Rivers entering the sea from the South bank of Laizhou Bay, China.

The distribution of antibiotic resistance genes (ARGs) in Laizhou Bay affects the local socio-economic development. The study aimed to investigate the distribution of ARGs in the rivers that flow into the sea around Laizhou Bay's southern shore. Water and sediment samples were collected from different typical sites of rivers entering the sea in Weifang, including Mi River, Bai Lang River, Yu River, Wei River, Jiaolai River, Xiaoqing River and Di River. The species and abundance of ARGs in the sediments were characterized and quantified by macro-genome high-throughput sequencing technology. The species distribution of ARGs was compared. In two sediment samples and seven water samples, 24 ARGs types and 1244 subtypes of ARGs were detected, in which multidrug-resistant class was the main ARGs type and FBJ murine osteosarcoma viral oncogene homolog B (fosB) was the dominant ARGs. The types of ARG in the top ten of these samples were the same, although the proportion was different. Dominant ARG subtypes accounted for more than 50% of all the nine samples. This article provides basic data support for pollution status and environmental risk assessment as well as remediation of ARGs in rivers entering the sea along the south coast of Laizhou Bay.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.10
自引率
4.80%
发文量
93
审稿时长
3.0 months
期刊介绍: 14 issues per year Abstracted/indexed in: BioSciences Information Service of Biological Abstracts (BIOSIS), CAB ABSTRACTS, CEABA, Chemical Abstracts & Chemical Safety NewsBase, Current Contents/Agriculture, Biology, and Environmental Sciences, Elsevier BIOBASE/Current Awareness in Biological Sciences, EMBASE/Excerpta Medica, Engineering Index/COMPENDEX PLUS, Environment Abstracts, Environmental Periodicals Bibliography & INIST-Pascal/CNRS, National Agriculture Library-AGRICOLA, NIOSHTIC & Pollution Abstracts, PubSCIENCE, Reference Update, Research Alert & Science Citation Index Expanded (SCIE), Water Resources Abstracts and Index Medicus/MEDLINE.
期刊最新文献
Batch and continuous fixed bed adsorption of copper (II) from acid mine drainage (AMD) using green and recyclable adsorbent from cellulose microcrystals (CMCs). Preparation and characterization of β-cyclodextrin capped magnetic nanoparticles anchored on cellulosic matrix for removal of cr(VI) from mimicked wastewater: Adsorption and kinetic studies. Biogenic and risk elements in wild boar testes and relation to spermatozoa motility. Behavioral and biochemical effects of environmental concentrations of caffeine in zebrafish after long-term exposure. Precision forecasting of spray-dry desulfurization using Gaussian noise data augmentation and k-fold cross-validation optimized neural computing.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1