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基因研究在抗生素耐药中的应用
引用本文:成荣,赵德军,朱龙. 基因研究在抗生素耐药中的应用[J]. 国外医药(抗生素分册), 2021, 42(2): 65-69
作者姓名:成荣  赵德军  朱龙
作者单位:清镇市第一人民医院,贵州清镇551400;惠水县公安局,贵州惠水550600
摘    要:随着抗生素的广泛使用,诸多病原菌产生了耐药性。耐药问题已成为二十一世纪人类面临的最严峻的环境健康问题之一,受到了诸多研究者的关注。目前,新型抗生素研发、现有抗生素改良以及阐明微生物的耐药机制等研究正在不断的开展。基因组学的不断发展为病原菌耐药性研究带来了极大的便捷,高通量测序技术结合分子生物学技术构建了多种抗生素抗性基因数据库及分析工具,这极有利于研究者高效地发现各种新的耐药基因,了解耐药性产生的原因与发展过程。本综述的目的在于从基因的视角认识病原菌耐药性,为科学研究及临床工作中更好的理解和应对耐药问题提供便利。

关 键 词:抗生素  耐药  基因  数据库  进化

Application of Genomics in Antibiotic Resistance
Cheng Rong,Zhao De-jun,Zhu Long. Application of Genomics in Antibiotic Resistance[J]. world notes on antibiotics, 2021, 42(2): 65-69
Authors:Cheng Rong  Zhao De-jun  Zhu Long
Affiliation:(Qingzhen First People’s Hospital,Qingzhen Guizhou 551400;Huishui Public Security Bureau,Huishui Guizhou 550600)
Abstract:The discovery of antibiotics is a big revolution in human history,and its clinical application has saved countless lives.However,with the widespread use of antibiotics,many pathogens have developed resistance.The problem of resistance has become one of the most severe environmental health problems faced by mankind in the 21st century.At the same time,resistance has attracted the attention of many researchers.At present,researches on the development of new antibiotics,the improvement of antibiotics,and the elucidation of microbial resistance mechanisms are constantly being carried out.In the process of research on antibiotics resistance,the research progress of genomics provides a great convenience.High-throughput sequencing technology combined with molecular biology technology also constructed a variety of antibiotic resistance gene databases and analysis tools,which is extremely helpful for us to efficiently discover new drug resistance genes and understand the generation and development process of drug resistance.Our purpose of this review is to understand the drug resistance of pathogens from a genetic perspective,so as to facilitate our better understanding and response to drug resistance in scientific research and clinical work.
Keywords:antibiotics  resistance  genetics  databases  evolution
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