RadD Contributes to R-Loop Avoidance in Sub-MIC Tobramycin

Author:

Negro Veronica12,Krin Evelyne1,Aguilar Pierlé Sebastian1,Chaze Thibault3,Giai Gianetto Quentin34,Kennedy Sean P.5,Matondo Mariette3,Mazel Didier1ORCID,Baharoglu Zeynep1ORCID

Affiliation:

1. Département Génomes et Génétique, Institut Pasteur, UMR3525, CNRS, Unité Plasticité du Génome Bactérien, Paris, France

2. Sorbonne Université, Collège Doctoral, Paris, France

3. Plateforme Protéomique, CNRS USR 2000, Institut Pasteur, Unité de Spectrométrie de Masse pour La Biologie, Paris, France

4. Bioinformatics and Biostatistics HUB, Center of Bioinformatics, Biostatistics and Integrative Biology (C3BI), USR CNRS 3756, Institut Pasteur, Paris, France

5. Center of Bioinformatics, Biostatistics and Integrative Biology (C3BI), Institut Pasteur, USR 3756 CNRS, Paris, France

Abstract

Bacteria frequently encounter low concentrations of antibiotics. Active antibiotics are commonly detected in soil and water at concentrations much below lethal concentration. Although sub-MICs of antibiotics do not kill bacteria, they can have a major impact on bacterial populations by contributing to the development of antibiotic resistance through mutations in originally sensitive bacteria or acquisition of DNA from resistant bacteria. It was shown that concentrations as low as 100-fold below the MIC can actually lead to the selection of antibiotic-resistant cells. We seek to understand how bacterial cells react to such antibiotic concentrations using E. coli , the Gram-negative bacterial paradigm, and V. cholerae , the causative agent of cholera. Our findings shed light on the processes triggered at the DNA level by antibiotics targeting translation, how damage occurs, and what the bacterial strategies are to respond to such DNA damage.

Funder

Region Ile de France DIM Malinf

Institut Pasteur

Agence Nationale de la Recherche

Centre National de la Recherche Scientifique

Fondation pour la Recherche Médicale

Publisher

American Society for Microbiology

Subject

Virology,Microbiology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3