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July 7, 2019  |  

Complete genome sequence of community-acquired Klebsiella pneumoniae KP36, a strain isolated from a patient with an upper urinary tract infection.

Here, we announce the complete genome sequence of Klebsiella pneumoniae KP36, a strain isolated from a patient with a severe community-acquired urinary tract infection. This genome provides insights into the pathogenesis of a pandemic K. pneumoniae strain from a community-acquired urinary tract infection. Copyright © 2016 Lin et al.


July 7, 2019  |  

Complete genome sequence of Mycobacterium chimaera strain AH16.

Mycobacterium chimaera is a nontuberculous mycobacterial species that causes cardiovascular, pulmonary, and postsurgical infections. Here, we report the first complete genome sequence of M. chimaera This genome is 6.33 Mbp, with a G+C content of 67.56%, and encodes 4,926 protein-coding genes, as well as 74 tRNAs, one ncRNA, and three rRNA genes. Copyright © 2016 Hasan et al.


July 7, 2019  |  

Complete genome sequences of six Legionella pneumophila isolates from two collocated outbreaks of Legionnaires’ disease in 2005 and 2008 in Sarpsborg/Fredrikstad, Norway.

Here, we report the complete genome sequences of Legionella pneumophila isolates from two collocated outbreaks of Legionnaires’ disease in 2005 and 2008 in Sarpsborg/Fredrikstad, Norway. One clinical and two environmental isolates were sequenced from each outbreak. The genome of all six isolates consisted of a 3.36 Mb-chromosome, while the 2005 genomes featured an additional 68 kb-episome sharing high sequence similarity with the L. pneumophila Lens plasmid. All six genomes contained multiple mobile genetic elements including novel combinations of type-IVA secretion systems. A comparative genomics study will be launched to resolve the genetic relationship between the L. pneumophila isolates. Copyright © 2016 Dybwad et al.


July 7, 2019  |  

Listeria monocytogenes in stone fruits linked to a multistate outbreak: enumeration of cells and whole-genome sequencing.

In 2014, the identification of stone fruits contaminated with Listeria monocytogenes led to the subsequent identification of a multistate outbreak. Simultaneous detection and enumeration of L. monocytogenes were performed on 105 fruits, each weighing 127 to 145 g, collected from 7 contaminated lots. The results showed that 53.3% of the fruits yielded L. monocytogenes (lower limit of detection, 5 CFU/fruit), and the levels ranged from 5 to 2,850 CFU/fruit, with a geometric mean of 11.3 CFU/fruit (0.1 CFU/g of fruit). Two serotypes, IVb-v1 and 1/2b, were identified by a combination of PCR- and antiserum-based serotyping among isolates from fruits and their packing environment; certain fruits contained a mixture of both serotypes. Single nucleotide polymorphism (SNP)-based whole-genome sequencing (WGS) analysis clustered isolates from two case-patients with the serotype IVb-v1 isolates and distinguished outbreak-associated isolates from pulsed-field gel electrophoresis (PFGE)-matched, but epidemiologically unrelated, clinical isolates. The outbreak-associated isolates differed by up to 42 SNPs. All but one serotype 1/2b isolate formed another WGS cluster and differed by up to 17 SNPs. Fully closed genomes of isolates from the stone fruits were used as references to maximize the resolution and to increase our confidence in prophage analysis. Putative prophages were conserved among isolates of each WGS cluster. All serotype IVb-v1 isolates belonged to singleton sequence type 382 (ST382); all but one serotype 1/2b isolate belonged to clonal complex 5.WGS proved to be an excellent tool to assist in the epidemiologic investigation of listeriosis outbreaks. The comparison at the genome level contributed to our understanding of the genetic diversity and variations among isolates involved in an outbreak or isolates associated with food and environmental samples from one facility. Fully closed genomes increased our confidence in the identification and comparison of accessory genomes. The diversity among the outbreak-associated isolates and the inclusion of PFGE-matched, but epidemiologically unrelated, isolates demonstrate the high resolution of WGS. The prevalence and enumeration data could contribute to our further understanding of the risk associated with Listeria monocytogenes contamination, especially among high-risk populations. Copyright © 2016 Chen et al.


July 7, 2019  |  

Genomewide Dam methylation in Escherichia coli during long-term stationary phase.

DNA methylation in prokaryotes is widespread. The most common modification of the genome is the methylation of adenine at the N-6 position. In Escherichia coli K-12 and many gammaproteobacteria, this modification is catalyzed by DNA adenine methyltransferase (Dam) at the GATC consensus sequence and is known to modulate cellular processes including transcriptional regulation of gene expression, initiation of chromosomal replication, and DNA mismatch repair. While studies thus far have focused on the motifs associated with methylated adenine (meA), the frequency of meA across the genome, and temporal dynamics during early periods of incubation, here we conduct the first study on the temporal dynamics of adenine methylation in E. coli by Dam throughout all five phases of the bacterial life cycle in the laboratory. Using single-molecule real-time sequencing, we show that virtually all GATC sites are significantly methylated over time; nearly complete methylation of the chromosome was confirmed by mass spectroscopy analysis. However, we also detect 66 sites whose methylation patterns change significantly over time within a population, including three sites associated with sialic acid transport and catabolism, suggesting a potential role for Dam regulation of these genes; differential expression of this subset of genes was confirmed by quantitative real-time PCR. Further, we show significant growth defects of the dam mutant during long-term stationary phase (LTSP). Together these data suggest that the cell places a high premium on fully methylating the chromosome and that alterations in methylation patterns may have significant impact on patterns of transcription, maintenance of genetic fidelity, and cell survival. IMPORTANCE While it has been shown that methylation remains relatively constant into early stationary phase of E. coli, this study goes further through death phase and long-term stationary phase, a unique time in the bacterial life cycle due to nutrient limitation and strong selection for mutants with increased fitness. The absence of methylation at GATC sites can influence the mutation frequency within a population due to aberrant mismatch repair. Therefore, it is important to investigate the methylation status of GATC sites in an environment where cells may not prioritize methylation of the chromosome. This study demonstrates that chromosome methylation remains a priority even under conditions of nutrient limitation, indicating that continuous methylation at GATC sites could be under positive selection.


July 7, 2019  |  

Genome sequence of a commensal bacterium, Enterococcus faecalis CBA7120, isolated from a Korean fecal sample.

Enterococcus faecalis, the type strain of the genus Enterococcus, is not only a commensal bacterium in the gastrointestinal tract in vertebrates and invertebrates, but also causes serious disease as an opportunistic pathogen. To date, genome sequences have been published for over four hundred E. faecalis strains; however, pathogenicity of these microbes remains complicated. To increase our knowledge of E. faecalis virulence factors, we isolated strain CBA7120 from the feces of an 81-year-old female from the Republic of Korea and performed a comparative genomic analysis.The genome sequence of E. faecalis CBA7120 is 3,134,087 bp in length, with a G + C content of 37.35 mol%, and is comprised of four contigs with an N50 value of 2,922,046 bp. The genome showed high similarity with other strains of E. faecalis, including OG1RF, T13, 12107 and T20, based on OrthoANI values. Strain CBA7120 contains 374 pan-genome orthologous groups (POGs) as singletons, including “Phages, Prophages, Transposable elements, Plasmids,” “Carbohydrates,” “DNA metabolism,” and “Virulence, Disease and Defense” subsystems. Genes related to multidrug resistance efflux pumps were annotated in the genome.The comparative genomic analysis of E. faecalis strains presented in this study was performed using a variety of analysis methods and will facilitate future identification of hypothetical proteins.


July 7, 2019  |  

Whole genome sequence and comparative genomics of the novel Lyme borreliosis causing pathogen, Borrelia mayonii.

Borrelia mayonii, a Borrelia burgdorferi sensu lato (Bbsl) genospecies, was recently identified as a cause of Lyme borreliosis (LB) among patients from the upper midwestern United States. By microscopy and PCR, spirochete/genome loads in infected patients were estimated at 105 to 106 per milliliter of blood. Here, we present the full chromosome and plasmid sequences of two B. mayonii isolates, MN14-1420 and MN14-1539, cultured from blood of two of these patients. Whole genome sequencing and assembly was conducted using PacBio long read sequencing (Pacific Biosciences RSII instrument) followed by hierarchical genome-assembly process (HGAP). The B. mayonii genome is ~1.31 Mbp in size (26.9% average GC content) and is comprised of a linear chromosome, 8 linear and 7 circular plasmids. Consistent with its taxonomic designation as a new Bbsl genospecies, the B. mayonii linear chromosome shares only 93.83% average nucleotide identity with other genospecies. Both B. mayonii genomes contain plasmids similar to B. burgdorferi sensu stricto lp54, lp36, lp28-3, lp28-4, lp25, lp17, lp5, 5 cp32s, cp26, and cp9. The vls locus present on lp28-10 of B. mayonii MN14-1420 is remarkably long, being comprised of 24 silent vls cassettes. Genetic differences between the two B. mayonii genomes are limited and include 15 single nucleotide variations as well as 7 fewer silent vls cassettes and a lack of the lp5 plasmid in MN14-1539. Notably, 68 homologs to proteins present in B. burgdorferi sensu stricto appear to be lacking from the B. mayonii genomes. These include the complement inhibitor, CspZ (BB_H06), the fibronectin binding protein, BB_K32, as well as multiple lipoproteins and proteins of unknown function. This study shows the utility of long read sequencing for full genome assembly of Bbsl genomes, identifies putative genome regions of B. mayonii that may be linked to clinical manifestation or tissue tropism, and provides a valuable resource for pathogenicity, diagnostic and vaccine studies.


July 7, 2019  |  

Genome sequence and comparative pathogenic determinants of multidrug resistant uropathogenic Escherichia coli O25b: H4, A clinical isolate from Saudi Arabia

Escherichia coli serotype O25b:H4 is involved in human urinary tract infections.In this study, we sequenced and analyzed E. coli O25b:H4 isolated from a patient sufferingfrom recurring UTI infections in an intensive care unit at Hera General Hospital inMakkah, Saudi Arabia. We aimed to determine the virulence genes for pathogenesis anddrug resistance of this isolate compared to other E. coli strains. We sequenced and analyzedthe E. coli O25b:H4 Saudi strain clinical isolate using next generation sequencing. Usingthe ERGO genome analysis platform, we performed annotations and identified virulenceand antibiotic resistance determinants of this clinical isolate. The E. coli O25b:H4 genomewas assembled into four contigs representing a total chromosome size of 5.28 Mb, andthree contigs were identified, including a 130.9 kb (virulence plasmid) contig bearing thebla-CTX gene and 32 kb and 29 kb contigs. In comparing this genome to otheruropathogenic E. coli genomes, we identified unique drug resistance and pathogenicityfactors. In this work, whole-genome sequencing and targeted comparative analysis of aclinical isolate of uropathogenic Escherichia coli O25b:H4 was performed. This strainencodes virulence genes linked with extraintestinal pathogenic E. coli (ExPEC) that areexpressed constitutively in E. coli ST131. We identified the genes responsible forpathogenesis and drug resistance and performed comparative analyses of the virulenceand antibiotic resistance determinants with those of other E. coli UPEC isolates. This isthe first report of genome sequencing and analysis of a UPEC strain from Saudi Arabia.


July 7, 2019  |  

Improve homology search sensitivity of PacBio data by correcting frameshifts.

Single-molecule, real-time sequencing (SMRT) developed by Pacific BioSciences produces longer reads than secondary generation sequencing technologies such as Illumina. The long read length enables PacBio sequencing to close gaps in genome assembly, reveal structural variations, and identify gene isoforms with higher accuracy in transcriptomic sequencing. However, PacBio data has high sequencing error rate and most of the errors are insertion or deletion errors. During alignment-based homology search, insertion or deletion errors in genes will cause frameshifts and may only lead to marginal alignment scores and short alignments. As a result, it is hard to distinguish true alignments from random alignments and the ambiguity will incur errors in structural and functional annotation. Existing frameshift correction tools are designed for data with much lower error rate and are not optimized for PacBio data. As an increasing number of groups are using SMRT, there is an urgent need for dedicated homology search tools for PacBio data.In this work, we introduce Frame-Pro, a profile homology search tool for PacBio reads. Our tool corrects sequencing errors and also outputs the profile alignments of the corrected sequences against characterized protein families. We applied our tool to both simulated and real PacBio data. The results showed that our method enables more sensitive homology search, especially for PacBio data sets of low sequencing coverage. In addition, we can correct more errors when comparing with a popular error correction tool that does not rely on hybrid sequencing.The source code is freely available at https://sourceforge.net/projects/frame-pro/yannisun@msu.edu. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.


July 7, 2019  |  

Genome-guided design of a defined mouse microbiota that confers colonization resistance against Salmonella enterica serovar Typhimurium.

Protection against enteric infections, also termed colonization resistance, results from mutualistic interactions of the host and its indigenous microbes. The gut microbiota of humans and mice is highly diverse and it is therefore challenging to assign specific properties to its individual members. Here, we have used a collection of murine bacterial strains and a modular design approach to create a minimal bacterial community that, once established in germ-free mice, provided colonization resistance against the human enteric pathogen Salmonella enterica serovar Typhimurium (S. Tm). Initially, a community of 12 strains, termed Oligo-Mouse-Microbiota (Oligo-MM(12)), representing members of the major bacterial phyla in the murine gut, was selected. This community was stable over consecutive mouse generations and provided colonization resistance against S. Tm infection, albeit not to the degree of a conventional complex microbiota. Comparative (meta)genome analyses identified functions represented in a conventional microbiome but absent from the Oligo-MM(12). By genome-informed design, we created an improved version of the Oligo-MM community harbouring three facultative anaerobic bacteria from the mouse intestinal bacterial collection (miBC) that provided conventional-like colonization resistance. In conclusion, we have established a highly versatile experimental system that showed efficacy in an enteric infection model. Thus, in combination with exhaustive bacterial strain collections and systems-based approaches, genome-guided design can be used to generate insights into microbe-microbe and microbe-host interactions for the investigation of ecological and disease-relevant mechanisms in the intestine.


July 7, 2019  |  

Efficient, cost-effective, high-throughput, Multilocus Sequencing Typing (MLST) method, NGMLST, and the analytical software program MLSTEZ.

Multilocus sequence typing (MLST) has become the preferred method for genotyping many biological species. It can be used to identify major phylogenetic clades, molecular groups, or subpopulations of a species, as well as individual strains or clones. However, conventional MLST is costly and time consuming, which limits its power for genotyping large numbers of samples. Here, we describe a new MLST method that uses next-generation sequencing, a multiplexing protocol, and appropriate analytical software to provide accurate, rapid, and economical MLST genotyping of 96 or more isolates in a single assay.


July 7, 2019  |  

Characterization of tet(Y)-carrying LowGC plasmids exogenously captured from cow manure at a conventional dairy farm.

Manure from dairy farms has been shown to contain diverse tetracycline resistance genes that are transferable to soil. Here, we focus on conjugative plasmids that may spread tetracycline resistance at a conventional dairy farm. We performed exogenous plasmid isolation from cattle feces using chlortetracycline for transconjugant selection. The transconjugants obtained harbored LowGC-type plasmids and tet(Y). A representative plasmid (pFK2-7) was fully sequenced and this was compared with previously described LowGC plasmids from piggery manure-treated soil and a GenBank record from Acinetobacter nosocomialis that we also identified as a LowGC plasmid. The pFK2-7 plasmid had the conservative backbone typical of LowGC plasmids, though this region was interrupted with an insert containing the tet(Y)-tet(R) tetracycline resistance genes and the strA-strB streptomycin resistance genes. Despite Acinetobacter populations being considered natural hosts of LowGC plasmids, these plasmids were not found in three Acinetobacter isolates from the study farm. The isolates harbored tet(Y)-tet(R) genes in identical genetic surroundings as pFK2-7, however, suggesting genetic exchange between Acinetobacter and LowGC plasmids. Abundance of LowGC plasmids and tet(Y) was correlated in manure and soil samples from the farm, indicating that LowGC plasmids may be involved in the spread of tet(Y) in the environment.© FEMS 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.


July 7, 2019  |  

Genomic insights into a sustained national outbreak of Yersinia pseudotuberculosis.

In 2014, a sustained outbreak of yersiniosis due to Yersinia pseudotuberculosis occurred across all major cities in New Zealand (NZ), with a total of 220 laboratory-confirmed cases, representing one of the largest ever reported outbreaks of Y. pseudotuberculosis. Here, we performed whole genome sequencing of outbreak-associated isolates to produce the largest population analysis to date of Y. pseudotuberculosis, giving us unprecedented capacity to understand the emergence and evolution of the outbreak clone. Multivariate analysis incorporating our genomic and clinical epidemiological data strongly suggested a single point-source contamination of the food chain, with subsequent nationwide distribution of contaminated produce. We additionally uncovered significant diversity in key determinants of virulence, which we speculate may help explain the high morbidity linked to this outbreak.


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