Literature DB >> 30895843

How to discover new antibiotic resistance genes?

Linda Hadjadj1, Sophie Alexandra Baron1, Seydina M Diene1, Jean-Marc Rolain1,2.   

Abstract

INTRODUCTION: Antibiotic resistance (AR) is a worldwide concern and the description of AR have been discovered mainly because of their implications in human medicine. Since the recent burden of whole-genome sequencing of microorganisms, the number of new AR genes (ARGs) have dramatically increased over the last decade. Areas covered: In this review, we will describe the different methods that could be used to characterize new ARGs using classic or innovative methods. First, we will focus on the biochemical methods, then we will develop on molecular methods, next-generation sequencing and bioinformatics approaches. The use of various methods, including cloning, mutagenesis, transposon mutagenesis, functional genomics, whole genome sequencing, metagenomic and functional metagenomics will be reviewed here, outlining the advantages and drawbacks of each method. Bioinformatics softwares used for resistome analysis and protein modeling will be also described. Expert opinion: Biological experiments and bioinformatics analysis are complementary. Nowadays, the ARGs described only account for the tip of the iceberg of all existing resistance mechanisms. The multiplication of the ecosystems studied allows us to find a large reservoir of AR mechanisms. Furthermore, the adaptation ability of bacteria facing new antibiotics promises a constant discovery of new AR mechanisms.

Entities:  

Keywords:  Antibiotic; genome; metagenomic; mutagenesis; resistance

Mesh:

Substances:

Year:  2019        PMID: 30895843     DOI: 10.1080/14737159.2019.1592678

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  6 in total

1.  Fatal Pandoraea nosoerga infection after combined liver-lung transplantation for cystic fibrosis: a recontamination by the pre-transplantation strain.

Authors:  Lucie Peyclit; Sophie Alexandra Baron; Martine Reynaud-Gaubert; Nadim Cassir; Jean-Marc Rolain
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2021-04-08       Impact factor: 3.267

2.  Genomic characterization of Citrobacter freundii strains coproducing OXA-48 and VIM-1 carbapenemase enzymes isolated in leukemic patient in Spain.

Authors:  Rym Lalaoui; Ana Djukovic; Sofiane Bakour; Linda Hadjadj; Jaime Sanz; Miguel Salavert; Jose Luis López-Hontangas; Miguel A Sanz; Carles Ubeda; Jean-Marc Rolain
Journal:  Antimicrob Resist Infect Control       Date:  2019-10-29       Impact factor: 4.887

Review 3.  Research and Technological Advances Regarding the Study of the Spread of Antimicrobial Resistance Genes and Antimicrobial-Resistant Bacteria Related to Animal Husbandry.

Authors:  Na Li; Chong Liu; Zhiguo Zhang; Hongna Li; Tingting Song; Ting Liang; Binxu Li; Luyao Li; Shuo Feng; Qianqian Su; Jing Ye; Changxiong Zhu
Journal:  Int J Environ Res Public Health       Date:  2019-12-04       Impact factor: 3.390

4.  Whole Genome Analysis of 335 New Bacterial Species from Human Microbiota Reveals a Huge Reservoir of Transferable Antibiotic Resistance Determinants.

Authors:  Sami Khabthani; Jean-Marc Rolain; Vicky Merhej
Journal:  Int J Mol Sci       Date:  2022-02-15       Impact factor: 5.923

5.  Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome.

Authors:  Kasthuri Venkateswaran; Afshin Beheshti; Pedro Madrigal; Nitin K Singh; Jason M Wood; Elena Gaudioso; Félix Hernández-Del-Olmo; Christopher E Mason
Journal:  Microbiome       Date:  2022-08-24       Impact factor: 16.837

Review 6.  Antibiotic resistance: Time of synthesis in a post-genomic age.

Authors:  Teresa Gil-Gil; Luz Edith Ochoa-Sánchez; Fernando Baquero; José Luis Martínez
Journal:  Comput Struct Biotechnol J       Date:  2021-05-21       Impact factor: 7.271

  6 in total

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