The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.

SPAdes, a new genome assembly algorithm and its applications to single-cell sequencing ( 7th Annual SFAF Meeting, 2012)

Gene families are growing rapidly, but standard methods for inferring phylogenies do not scale to alignments with over 10,000 sequences. We present FastTree, a method for constructing large phylogenies and for estimating their reliability. Instead of storing a distance matrix, FastTree stores sequence profiles of internal nodes in the tree. FastTree uses these profiles to implement neighbor-joining and uses heuristics to quickly identify candidate joins. FastTree then uses nearest-neighbor interchanges to reduce the length of the tree. For an alignment with N sequences, L sites, and a different characters, a distance matrix requires O(N^2) space and O(N^2 L) time, but FastTree requires just O( NLa + N sqrt(N) ) memory and O( N sqrt(N) log(N) L a ) time. To estimate the tree's reliability, FastTree uses local bootstrapping, which gives another 100-fold speedup over a distance matrix. For example, FastTree computed a tree and support values for 158,022 distinct 16S ribosomal RNAs in 17 hours and 2.4 gigabytes of memory. Just computing pairwise Jukes-Cantor distances and storing them, without inferring a tree or bootstrapping, would require 17 hours and 50 gigabytes of memory. In simulations, FastTree was slightly more accurate than neighbor joining, BIONJ, or FastME; on genuine alignments, FastTree's topologies had higher likelihoods. FastTree is available at http://microbesonline.org/fasttree.

/pdf/fast-tree-computing-large-minimum-evolution-trees-with-4grq0gwfpy.pdf

Fast Tree: Computing Large Minimum-Evolution Trees with Profiles instead of a Distance Matrix

SUMMARY Strains of bacteria resistant to antibiotics, particularly those that are multiresistant, are an increasing major health care problem around the world. It is now abundantly clear that both Gram-negative and Gram-positive bacteria are able to meet the evolutionary challenge of combating antimicrobial chemotherapy, often by acquiring preexisting resistance determinants from the bacterial gene pool. This is achieved through the concerted activities of mobile genetic elements able to move within or between DNA molecules, which include insertion sequences, transposons, and gene cassettes/integrons, and those that are able to transfer between bacterial cells, such as plasmids and integrative conjugative elements. Together these elements play a central role in facilitating horizontal genetic exchange and therefore promote the acquisition and spread of resistance genes. This review aims to outline the characteristics of the major types of mobile genetic elements involved in acquisition and spread of antibiotic resistance in both Gram-negative and Gram-positive bacteria, focusing on the so-called ESKAPEE group of organisms (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, Enterobacter spp., and Escherichia coli), which have become the most problematic hospital pathogens.

https://cmr.asm.org/content/cmr/31/4/e00088-17.full-text.pdf

Mobile Genetic Elements Associated with Antimicrobial Resistance

Colistin represents one of the few available drugs for treating infections caused by carbapenem-resistant Enterobacteriaceae. As such, the recent plasmid-mediated spread of the colistin resistance gene mcr-1 poses a significant public health threat, requiring global monitoring and surveillance. Here, we characterize the global distribution of mcr-1 using a data set of 457 mcr-1-positive sequenced isolates. We find mcr-1 in various plasmid types but identify an immediate background common to all mcr-1 sequences. Our analyses establish that all mcr-1 elements in circulation descend from the same initial mobilization of mcr-1 by an ISApl1 transposon in the mid 2000s (2002–2008; 95% highest posterior density), followed by a marked demographic expansion, which led to its current global distribution. Our results provide the first systematic phylogenetic analysis of the origin and spread of mcr-1, and emphasize the importance of understanding the movement of antibiotic resistance genes across multiple levels of genomic organization.

/pdf/the-global-distribution-and-spread-of-the-mobilized-colistin-19fj6v1h39.pdf

The global distribution and spread of the mobilized colistin resistance gene mcr-1.

Salmonellosis: the role of poultry meat.

OBJECTIVES To analyse and compare mcr-1-bearing plasmids from animal Escherichia coli isolates, and to investigate potential mechanisms underlying dissemination of mcr-1. METHODS Ninety-seven ESBL-producing E. coli strains isolated from pig farms in China were screened for the mcr-1 gene. Fifteen mcr-1-positive strains were subjected to molecular characterization and bioinformatic analysis of the mcr-1-bearing plasmids that they harboured. RESULTS Three major types of mcr-1-bearing plasmids were recovered: IncX4 (∼33 kb), IncI2 (∼60 kb) and IncHI2 (∼216-280 kb), among which the IncX4 and IncI2 plasmids were found to harbour the mcr-1 gene only, whereas multiple resistance elements including blaCTX-M, blaCMY, blaTEM, fosA, qnrS, floR and oqxAB were detected, in various combinations, alongside mcr-1 in the IncHI2 plasmids. The profiles of mcr-1-bearing plasmids in the test strains were highly variable, with coexistence of two mcr-1-bearing plasmids being common. However, the MIC of colistin was not affected by the number of mcr-1-carrying plasmids harboured. Comparative analysis of the plasmids showed that they contained an mcr-1 gene cassette with varied structures (mcr-1-orf, ISApl1-mcr-1-orf and Tn6330), with the IncHI2 type being the most active in acquiring foreign resistance genes. A novel transposon, Tn6330, with the structure ISApl1-mcr-1-orf-ISApl1 was found to be the key element mediating translocation of mcr-1 into various plasmid backbones through formation of a circular intermediate. CONCLUSIONS The mcr-1 gene can be disseminated via multiple mobile elements including Tn6330, its circular intermediate and plasmids harbouring such elements. It is often co-transmitted with other resistance determinants through IncHI2 plasmids. The functional mechanism of Tn6330, a typical composite transposon harbouring mcr-1, should be further investigated.

/pdf/genetic-characterization-of-mcr-1-bearing-plasmids-to-depict-4cb1g20inl.pdf

Genetic characterization of mcr-1-bearing plasmids to depict molecular mechanisms underlying dissemination of the colistin resistance determinant.

Antibiotic resistance in Gram-negative pathogens has emerged and constituted a global crisis, thereby novel antibiotics and other anti-infective strategies are urgently needed. However, the growing...

Antibiotic adjuvants: an alternative approach to overcome multi-drug resistant Gram-negative bacteria.

Highly persistent incidence of multidrug resistant (MDR) bacterial pathogens constitutes a global burden for public health. An alternative strategy to alleviate such a crisis is to identify promising compounds to restore antibiotics activity against MDR bacteria. It is reported that the antidiabetic drug metformin exhibits the potentiation effect on tetracycline antibiotics, particularly doxycycline and minocycline, against MDR S. aureus, E. faecalis, E. coli, and S. enteritidis. Mechanistic studies demonstrate that metformin promotes intracellular accumulation of doxycycline in tetracycline-resistant E. coli. In addition, metformin boosts the immune response and alleviates the inflammatory responses in vitro. Last, metformin fully restores the activity of doxycycline in three animal infection models. Collectively, these results reveal the potential of metformin as a novel tetracyclines adjuvant to circumvent MDR bacterial pathogens and to improve the treatment outcome of recalcitrant infections.

https://onlinelibrary.wiley.com/doi/pdf/10.1002/advs.201902227

Metformin Restores Tetracyclines Susceptibility against Multidrug Resistant Bacteria.

The emergence of novel plasmid-mediated resistance genes constitutes a great public concern. Recently, mobile tet(X) variants were reported in diverse pathogens from different sources. However, the diversity of tet(X)-bearing plasmids remains largely unknown. In this study, the phenotypes and genotypes of all the tet(X)-positive tigecycline-resistant strains isolated from a slaughterhouse in China were characterized by antimicrobial susceptibility testing, conjugation, pulsed-field gel electrophoresis with S1 nuclease (S1-PFGE), and PCR. The diversity and polymorphism of tet(X)-harboring strains and plasmidomes were investigated by whole-genome sequencing (WGS) and single-plasmid-molecule analysis. Seventy-four tet(X4)-harboring Escherichia coli strains and one tet(X6)-bearing Providencia rettgeri strain were identified. The tet(X4)-bearing elements in 27 strains could be transferred to the recipient strain via plasmids. All tet(X4)-bearing plasmids isolated in this study and 15 tet(X4)-bearing plasmids reported online were analyzed. tet(X4)-bearing plasmids ranged from 9 to 294 kb and were categorized as ColE2-like, IncQ, IncX1, IncA/C2, IncFII, IncFIB, and hybrid plasmids with different replicons. The core tet(X4)-bearing genetic contexts were divided into four major groups: ISCR2-tet(X4)-abh, △ISCR2-abh-tet(X4)-ISCR2, ISCR2-abh-tet(X4)-ISCR2-virD2-floR, and abh-tet(X4)-ISCR2-yheS-cat-zitR-ISCR2-virD2-floR. Tandem repeats of tet(X4) were universally mediated by ISCR2. Different tet(X)-bearing strains existed in the same microbiota. Reorganization of tet(X4)-bearing multidrug resistance plasmids was found to be mediated by IS26 and other homologous regions. Finally, single-plasmid-molecule analysis captured the heterogenous state of tet(X4)-bearing plasmids. These findings significantly expand our knowledge of the tet(X)-bearing plasmidome among microbiotas, which establishes a baseline for investigating the structure and diversity of human, animal, and environmental tigecycline resistomes. Characterization of tet(X) genes among different microbiotas should be performed systematically to understand the evolution and ecology. IMPORTANCE Tigecycline is an expanded-spectrum tetracycline used as a last-resort antimicrobial for treating infections caused by superbugs such as carbapenemase-producing or colistin-resistant pathogens. Emergence of the plasmid-mediated mobile tigecycline resistance gene tet(X4) created a great public health concern. However, the diversity of tet(X4)-bearing plasmids and bacteria remains largely uninvestigated. To cover this knowledge gap, we comprehensively identified and characterized the tet(X)-bearing plasmidome in different sources using advanced sequencing technologies for the first time. The huge diversity of tet(X4)-bearing mobile elements demonstrates the high level of transmissibility of the tet(X4) gene among bacteria. It is crucial to enhance stringent surveillance of tet(X) genes in animal and human pathogens globally.

https://journals.asm.org/doi/pdf/10.1128/mSystems.00134-20

Deciphering the Structural Diversity and Classification of the Mobile Tigecycline Resistance Gene tet(X)-Bearing Plasmidome among Bacteria.

Antibiotic tolerance, the ability of a typically susceptible microorganism to survive extended periods of exposure to antibiotics, has a critical role in chronic and recurrent bacterial infections, and facilitates the evolution of antibiotic resistance. However, the physiological factors that contribute to the development of antibiotic tolerance, particularly in vivo, are not fully known. Despite the fact that a high-fat diet (HFD) is implicated in several human diseases, the relationship between HFD and antibiotic efficacy is still poorly understood. Here, we evaluated the efficacy of multiple clinically relevant bactericidal antibiotics in HFD-fed mice infected with methicillin-resistant Staphylococcus aureus (MRSA) or Escherichia coli. We found that HFD-fed mice had higher bacterial burdens and these bacteria displayed lower susceptibility to bactericidal antibiotic treatment compared with mice that were fed a standard diet, while microbiota-depleted standard-diet- or HFD-fed mice showed similar susceptibility. Faecal microbiota transplantation from HFD-fed mice impaired antibiotic activity in mice fed a standard diet, indicating that alteration of the gut microbiota and related metabolites in HFD-fed mice may account for the decreased antibiotic activity. 16S rRNA sequencing and metabolomics analysis of faecal samples revealed decreased microbial diversity and differential metabolite profiles in HFD-fed mice. Notably, the tryptophan metabolite indole-3-acetic acid (IAA) was significantly decreased in HFD-fed mice. Further in vitro studies showed that IAA supplementation inhibited the formation of bacterial persisters and promoted the elimination of persisters in combination with antibiotic treatment, potentially through the activation of bacterial metabolic pathways. In vivo, the combination of IAA and ciprofloxacin increased the survival rate of HFD-fed mice infected with MRSA persisters. Overall, our data reveal that a HFD has an antagonistic effect on antibiotic treatment in a mouse model, and this is associated with the alteration of the gut microbiota and IAA production. High-fat diet decreases antibiotic efficacy in a mouse model via an altered gut microbiota and decreased indole-3-acetic acid, which potentially converts tolerant bacterial cells into susceptible metabolically active cells.

Ruichao Li

Papers

Genetic characterization of mcr-1-bearing plasmids to depict molecular mechanisms underlying dissemination of the colistin resistance determinant.

Antibiotic adjuvants: an alternative approach to overcome multi-drug resistant Gram-negative bacteria.

Metformin Restores Tetracyclines Susceptibility against Multidrug Resistant Bacteria.

Deciphering the Structural Diversity and Classification of the Mobile Tigecycline Resistance Gene tet(X)-Bearing Plasmidome among Bacteria.

Gut microbiome alterations in high-fat-diet-fed mice are associated with antibiotic tolerance.