...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Clinical and Diagnostic Research >Enterococcus faecalis an Emerging MicrobialMenace in Dentistry-An Insight into the InSilicoDetection of Drug Resistant Genesand Its Protein Diversity
【24h】

Enterococcus faecalis an Emerging MicrobialMenace in Dentistry-An Insight into the InSilicoDetection of Drug Resistant Genesand Its Protein Diversity

机译：粪肠球菌是一种新兴的牙科微生物学—对耐药基因的硅检测及其蛋白多样性的见解

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Antimicrobial drug resistance is evolving as a serious threat to mankind due to indiscriminate use of antibiotics and lack of awareness about the mechanisms involved in drug resistance. Enterococcus faecalis, a common pathogen of the oral cavity has gained drug resistance over a period of years, making treatments refractory and ineffective.Aim: To detect the antimicrobial resistance encoding genes of Enterococcus faecalis employing computational tools.Materials and Methods: Antibiotic resistance genes were detected by retrieving sixteen genome sequences of Enterococcus faecalis from NCBI database which were further analysed using ResFinder. PlasmidFinder identified resistance encoding plasmids from recruited genomes under study. Protein sequences of most common phenotypes were subjected to protein BLAST and non-duplicate isolates showing 95-100% identity were selected for multiple sequence alignment using MEGA v7.0. Additionally, reconstruction of phylogenetic tree was performed to ascertain the diversity of these proteins among different genus and species.Results: In silico analysis of genomes revealed that almost all the probed isolates exhibited resistance towards glycopeptides and macrolides. The genes lsa(A) were found in 100% of the isolates, followed by tet (M) and erm (B) exhibiting a frequency of 37.5% and 25% respectively. Apart from major antibiotics, the isolates also demonstrated resistance towards aminoglycoside, phenicol, tetracycline and trimethoprim class of antimicrobials.Conclusion: The present investigation has emphasised the novelty in the application of in-silico tools in the understanding of the antibiotic resistance profile explored by the dreadful endodontic pathogen viz., E. faecalis. Further, this approach will aid in the implementation of improved treatment strategies and will facilitate to combat the dissemination of resistant gene cassettes to other oral pathogens or commensals residing in the vicinity.
机译：由于不加选择地使用抗生素以及对耐药性涉及的机制缺乏了解，抗菌药物耐药性正在演变为对人类的严重威胁。粪便肠球菌是一种常见的口腔病原体，多年来已经获得了耐药性，使得治疗难治且无效。目的：利用计算工具检测粪肠球菌的编码抗菌素的基因。材料和方法方法：通过从NCBI数据库中检索粪肠球菌的16个基因组序列来检测抗生素抗性基因，并使用ResFinder对其进行进一步分析。 PlasmidFinder从正在研究的募集基因组中鉴定出抗性编码质粒。对最常见表型的蛋白质序列进行蛋白质BLAST处理，并使用MEGA v7.0选择显示95-100％同一性的非重复分离株进行多重序列比对。另外，进行了系统树重建，以确定这些蛋白质在不同属和种之间的多样性。结果：对基因组进行计算机分析表明，几乎所有探针分离株均表现出对糖肽和大环内酯类的抗性。在100％的分离物中发现了lsa（A）基因，其次是tet（M）和erm（B），其频率分别为37.5％和25％。除主要抗生素外，分离物还显示出对氨基糖苷，苯酚，四环素和甲氧苄啶类抗菌剂的耐药性。结论：本研究强调了计算机内工具在理解抗生素耐药性方面的新颖性。由可怕的牙髓病原体即粪肠球菌探索。此外，该方法将有助于实施改进的治疗策略，并将有助于抵抗耐药基因盒向附近其他口腔病原体或共生病的传播。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号