Project description:Background: The rapid evolution and dissemination of mobilized colistin resistance gene (mcr) family has revealed as a severe threat to the global public health. Nevertheless, dramatic reduction in the prevalence of mcr-1, the major member of mcr family, was observed after the withdrawal of colistin in animal fodder in China since 2017, demonstrating that colistin acts as a selective stress to promote the dissemination of mcr-1. As the second largest lineage, mcr-3 was firstly discovered in 2017 and has been identified from numerous sources. However, whether the spreading of mcr-3 is driven by colistin remains unknown. Methods: To this end, we investigated the global prevalence of mcr-3 from 2005 to 2022 by an up-to-date systematic review, along with a nation-wide epidemiological study to establish the change of mcr-3 prevalence in China before and after 2017. To investigate the fitness cost imposed by MCR-3 upon bacterial host, in vitro and in vivo competitive assays were employed, along with morphological study and fluorescent observation. Moreover, by replacing non-optimal codons with optimal codons, synonymous mutations were introduced into the 5’-coding region of mcr-3 to study mechanisms accounting for the distinct fitness cost conferred by MCR-1 and MCR-3. Furthermore, by combining AlphaFold and molecular dynamics (MD) simulation, we provided a complete characterization on the putative lipid A binding pocket localized at the linker domain of MCR-3. Crucially, inhibitors targeting at the putative binding pocket of MCR-1 or MCR-3 were identified from small molecules library using the pipeline of virtual screening. Findings: The global prevalence of mcr-3 increased continuously from 2005 to 2022. The average prevalence was 0.18% during 2005-2014 and rapidly increased to 3.41% during 2020-2022. The prevalence of mcr-3 in China increased from 0.79% in 2016 to 5.87% in 2019. We found that the fitness of mcr-3-bearing E. coli and empty plasmid control was comparable but higher than that of mcr-1-positive strain. Although the putative lipid A binding pocket of MCR-3 was similar to that of in MCR-1, mcr-3 occupies remarkable codon bias at the 5’-end of coding region that disrupted the stability of mRNA, further reduced its protein expression in E. coli, resulting in the low fitness burden of bacterial host. Moreover, the 5’-end codon usage frequency appeared as a critical factor related with the evolution of mcr family. Furthermore, based on the similar lipid A binding pocket among MCR family protein, we identified three novel MCR inhibitors targeting at such pocket by screening from small-molecule library, which effectively restored the colistin susceptibility of mcr-bearing E. coli. Interpretation: For the first time, we found that the prevalence of mcr-3 increased continuously during 2016-2019 in China, demonstrating that the withdrawal of colistin in husbandry failed to prevent the dissemination of mcr-3. Our study evidenced that the 5’-end codon bias appeared as a crucial regulator upon the fitness cost conferred by horizontally transferred genes. Most importantly, the putative lipid A binding pocket verified from current study was a promising target site for designing inhibitors against mcr-positive strains.

Project description:<p>The study of antimicrobial resistance (AMR) in infectious diarrhea has generally been limited to cultivation, antimicrobial susceptibility testing and targeted PCR assays. When individual strains of significance are identified, whole genome shotgun (WGS) sequencing of important clones and clades is performed. Genes that encode resistance to antibiotics have been detected in environmental, insect, human and animal metagenomes and are known as "resistomes". While metagenomic datasets have been mined to characterize the healthy human gut resistome in the Human Microbiome Project and MetaHIT and in a Yanomani Amerindian cohort, directed metagenomic sequencing has not been used to examine the epidemiology of AMR. Especially in developing countries where sanitation is poor, diarrhea and enteric pathogens likely serve to disseminate antibiotic resistance elements of clinical significance. Unregulated use of antibiotics further exacerbates the problem by selection for acquisition of resistance. This is exemplified by recent reports of multiple antibiotic resistance in Shigella strains in India, in Escherichia coli in India and Pakistan, and in nontyphoidal Salmonella (NTS) in South-East Asia. We propose to use deep metagenomic sequencing and genome level assembly to study the epidemiology of AMR in stools of children suffering from diarrhea. Here the epidemiology component will be surveillance and analysis of the microbial composition (to the bacterial species/strain level where possible) and its constituent antimicrobial resistance genetic elements (such as plasmids, integrons, transposons and other mobile genetic elements, or MGEs) in samples from a cohort where diarrhea is prevalent and antibiotic exposure is endemic. The goal will be to assess whether consortia of specific mobile antimicrobial resistance elements associate with species/strains and whether their presence is enhanced or amplified in diarrheal microbiomes and in the presence of antibiotic exposure. This work could potentially identify clonal complexes of organisms and MGEs with enhanced resistance and the potential to transfer this resistance to other enteric pathogens.</p> <p>We have performed WGS, metagenomic assembly and gene/protein mapping to examine and characterize the types of AMR genes and transfer elements (transposons, integrons, bacteriophage, plasmids) and their distribution in bacterial species and strains assembled from DNA isolated from diarrheal and non-diarrheal stools. The samples were acquired from a cohort of pediatric patients and controls from Colombia, South America where antibiotic use is prevalent. As a control, the distribution and abundance of AMR genes can be compared to published studies where resistome gene lists from healthy cohort sequences were compiled. Our approach is more epidemiologic in nature, as we plan to identify and catalogue antimicrobial elements on MGEs capable of spread through a local population and further we will, where possible, link mobile antimicrobial resistance elements with specific strains within the population.</p>

Dataset Information

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets