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Auto Tag: L. monocytogenes

June 1, 2021

Streamlines SMRTbell library generation using addition-only, single tube strategy for all library types reduces time to results

We have streamlined the SMRTbell library generation protocols with improved workflows to deliver seamless end-to-end solutions from sample to analysis. A key improvement is the development of a single-tube reaction strategy that shortened hands-on time needed to generate each SMRTbell library, reduced time-consuming AM Pure purification steps, and minimized sample-handling induced gDNA damage to improve the integrity of long-insert SMRTbell templates for sequencing. The improved protocols support all large-insert genomic libraries, multiplexed microbial genomes, and amplicon sequencing. These advances enable completion of library preparation in less than a day (approximately 4 hours) and opens opportunities for automated library preparation for large-scale projects. Here we share data summarizing performance of the new SMRTbell Express Template Kit 2.0 representing our solutions for 10 kb and >50 kb large-insert genomic libraries, complete microbial genome assemblies, and high-throughput amplicon sequencing. The improved throughput of the Sequel System with read lengths up to 30 kb and high consensus accuracy (> 99.999% accuracy) makes sequencing with high-quality results increasingly assessible to the community.

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June 1, 2021

Improving long-read assembly of microbial genomes and plasmids

Complete, high-quality microbial genomes are very valuable across a broad array of fields, from environmental studies, to human microbiome health, food pathogen surveillance, etc. Long-read sequencing enables accurate resolution of complex microbial genomes and is becoming the new standard. Here we report our novel Microbial Assembly pipeline to facilitate rapid, large-scale analysis of microbial genomes. We sequenced a 48-plex library with one SMRT Cell 8M on the Sequel II System, demultiplexed, then analyzed the data with Microbial Assembly.

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April 21, 2020

Single-molecule sequencing detection of N6-methyladenine in microbial reference materials.

The DNA base modification N6-methyladenine (m6A) is involved in many pathways related to the survival of bacteria and their interactions with hosts. Nanopore sequencing offers a new, portable method to detect base modifications. Here, we show that a neural network can improve m6A detection at trained sequence contexts compared to previously published methods using deviations between measured and expected current values as each adenine travels through a pore. The model, implemented as the mCaller software package, can be extended to detect known or confirm suspected methyltransferase target motifs based on predictions of methylation at untrained contexts. We use PacBio, Oxford Nanopore, methylated DNA immunoprecipitation sequencing (MeDIP-seq), and whole-genome bisulfite sequencing data to generate and orthogonally validate methylomes for eight microbial reference species. These well-characterized microbial references can serve as controls in the development and evaluation of future methods for the identification of base modifications from single-molecule sequencing data.

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April 21, 2020

A First Study of the Virulence Potential of a Bacillus subtilis Isolate From Deep-Sea Hydrothermal Vent.

Bacillus subtilis is the best studied Gram-positive bacterium, primarily as a model of cell differentiation and industrial exploitation. To date, little is known about the virulence of B. subtilis. In this study, we examined the virulence potential of a B. subtilis strain (G7) isolated from the Iheya North hydrothermal field of Okinawa Trough. G7 is aerobic, motile, endospore-forming, and requires NaCl for growth. The genome of G7 is composed of one circular chromosome of 4,216,133 base pairs with an average GC content of 43.72%. G7 contains 4,416 coding genes, 27.5% of which could not be annotated, and the remaining 72.5% were annotated with known or predicted functions in 25 different COG categories. Ten sets of 23S, 5S, and 16S ribosomal RNA operons, 86 tRNA and 14 sRNA genes, 50 tandem repeats, 41 mini-satellites, one microsatellite, and 42 transposons were identified in G7. Comparing to the genome of the B. subtilis wild type strain NCIB 3610T, G7 genome contains many genomic translocations, inversions, and insertions, and twice the amount of genomic Islands (GIs), with 42.5% of GI genes encoding hypothetical proteins. G7 possesses abundant putative virulence genes associated with adhesion, invasion, dissemination, anti-phagocytosis, and intracellular survival. Experimental studies showed that G7 was able to cause mortality in fish and mice following intramuscular/intraperitoneal injection, resist the killing effect of serum complement, and replicate in mouse macrophages and fish peripheral blood leukocytes. Taken together, our study indicates that G7 is a B. subtilis isolate with unique genetic features and can be lethal to vertebrate animals once being introduced into the animals by artificial means. These results provide the first insight into the potential harmfulness of deep-sea B. subtilis.

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September 22, 2019

Genetic separation of Listeria monocytogenes causing central nervous system infections in animals.

Listeria monocytogenes is a foodborne pathogen that causes abortion, septicemia, gastroenteritis and central nervous system (CNS) infections in ruminants and humans. L. monocytogenes strains mainly belong to two distinct phylogenetic groups, named lineages I and II. In general, clinical cases in humans and animals, in particular CNS infections, are caused by lineage I strains, while most of the environmental and food strains belong to lineage II. Little is known about why lineage I is more virulent than lineage II, even though various molecular factors and mechanisms associated with pathogenesis are known. In this study, we have used a variety of whole genome sequence analyses and comparative genomic tools in order to find characteristics that distinguish lineage I from lineage II strains and CNS infection strains from non-CNS strains. We analyzed 225 strains and identified single nucleotide variants between lineages I and II, as well as differences in the gene content. Using a novel approach based on Reads Per Kilobase per Million Mapped (RPKM), we identified 167 genes predominantly absent in lineage II but present in lineage I. These genes are mostly encoding for membrane-associated proteins. Additionally, we found 77 genes that are largely absent in the non-CNS associated strains, while 39 genes are especially lacking in our defined “non-clinical” group. Based on the RPKM analysis and the metadata linked to the L. monocytogenes strains, we identified 6 genes potentially associated with CNS cases, which include a transcriptional regulator, an ABC transporter and a non-coding RNA. Although there is not a clear separation between pathogenic and non-pathogenic strains based on phylogenetic lineages, the presence of the genes identified in our study reveals potential pathogenesis traits in ruminant L. monocytogenes strains. Ultimately, the differences that we have found in our study will help steer future studies in understanding the virulence mechanisms of the most pathogenic L. monocytogenes strains.

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September 22, 2019

A validation approach of an end-to-end whole genome sequencing workflow for source tracking of Listeria monocytogenes and Salmonella enterica.

Whole genome sequencing (WGS), using high throughput sequencing technology, reveals the complete sequence of the bacterial genome in a few days. WGS is increasingly being used for source tracking, pathogen surveillance and outbreak investigation due to its high discriminatory power. In the food industry, WGS used for source tracking is beneficial to support contamination investigations. Despite its increased use, no standards or guidelines are available today for the use of WGS in outbreak and/or trace-back investigations. Here we present a validation of our complete (end-to-end) WGS workflow for Listeria monocytogenes and Salmonella enterica including: subculture of isolates, DNA extraction, sequencing and bioinformatics analysis. This end-to-end WGS workflow was evaluated according to the following performance criteria: stability, repeatability, reproducibility, discriminatory power, and epidemiological concordance. The current study showed that few single nucleotide polymorphism (SNPs) were observed for L. monocytogenes and S. enterica when comparing genome sequences from five independent colonies from the first subculture and five independent colonies after the tenth subculture. Consequently, the stability of the WGS workflow for L. monocytogenes and S. enterica was demonstrated despite the few genomic variations that can occur during subculturing steps. Repeatability and reproducibility were also demonstrated. The WGS workflow was shown to have a high discriminatory power and has the ability to show genetic relatedness. Additionally, the WGS workflow was able to reproduce published outbreak investigation results, illustrating its capability of showing epidemiological concordance. The current study proposes a validation approach comprising all steps of a WGS workflow and demonstrates that the workflow can be applied to L. monocytogenes or S. enterica.

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September 22, 2019

Characterization of Lactobacillus amylolyticus L6 as potential probiotics based on genome sequence and corresponding phenotypes

The potential of newly isolated Lactobacillus amylolyticus L6 as probiotics was investigated based on the whole genome sequence and corresponding phenotypes. With Lactobacillus acidophilus NCFM as positive control, several established methods of evaluating potential probiotics were performed on L. amylolyticus L6. The results indicated that L. amylolyticus L6 retained higher viability in human gastrointestinal (GI) tract and it also had strong inhibitory effect on pathogenic bacteria. Meanwhile, the candidate probiotics exhibited similar adhesion level as that of L. acidophilus NCFM in vitro test. As for carbohydrate utilization profile, L. amylolyticus L6 had high ability of utilizing raffinose and stachyose which were known as flatulence factors in soybean products. And this strain could also utilize starch. Besides, the mechanisms of probiotic and metabolic properties for L. amylolyticus L6 were further illustrated with the identification of related genes through the analysis of genome sequence. Therefore, we proposed that L. amylolyticus L6 have the potential to be used as probiotics from phenotypes to genotypes. And it is the first time that the complete genome sequence of L. amylolyticus L6 and the potential of this strain to be used as probiotics were reported in this study.

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September 22, 2019

Evolutionary history of bacteriophages in the genus Paraburkholderia.

The genus Paraburkholderia encompasses mostly environmental isolates with diverse predicted lifestyles. Genome analyses have shown that bacteriophages form a considerable portion of some Paraburkholderia genomes. Here, we analyzed the evolutionary history of prophages across all Paraburkholderia spp. Specifically, we investigated to what extent the presence of prophages and their distribution affect the diversity/diversification of Paraburkholderia spp., as well as to what extent phages coevolved with their respective hosts. Particular attention was given to the presence of CRISPR-Cas arrays as a reflection of past interactions with phages. We thus analyzed 36 genomes of Paraburkholderia spp., including those of 11 new strains, next to those of three Burkholderia species. Most genomes were found to contain at least one full prophage sequence. The highest number was found in Paraburkholderia sp. strain MF2-27; the nine prophages found amount to up to 4% of its genome. Among all prophages, potential moron genes (e.g., DNA adenine methylase) were found that might be advantageous for host cell fitness. Co-phylogenetic analyses indicated the existence of complex evolutionary scenarios between the different Paraburkholderia hosts and their prophages, including short-term co-speciation, duplication, host-switching and phage loss events. Analysis of the CRISPR-Cas systems showed a record of diverse, potentially recent, phage infections. We conclude that, overall, different phages have interacted in diverse ways with their Paraburkholderia hosts over evolutionary time.

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September 22, 2019

A novel bacteriocin BMP11 and its antibacterial mechanism on cell envelope of Listeria monocytogenes and Cronobacter sakazakii

Listeria monocytogenes and Cronobacter sakazakii are notorious pathogens involved in numerous foodborne outbreaks after ingested contaminated food. Bacteriocins are natural food preservatives, some of which have antimicrobial activity comparable with antibiotics. In this study, a plasmid encoded novel bacteriocin BMP11 produced by Lactobacillus crustorum MN047 was innovatively identified by combining complete genome and LC-MS/MS. The BMP11 was found to have rich a-helix conformation after prediction. Moreover, the antimicrobial activity of BMP11 was verified after its heterologous expression in E. coli with 1280 and 640 AU/mL against L. monocytogenes and C. sakazakii, respectively. After purification by anion-exchange chromatography and HPLC, BMP11 had MIC values of 0.3–38.4?µg/mL against tested foodborne pathogens. Further, it was found that BMP11 had bactericidal action mode with concomitant cell lysis to pathogens by growth curve and time-kill kinetics. The results of scanning electron microscope (SEM) and transmission electron microscope (TEM) indicated that BMP11 destroyed the integrity of cell envelope of pathogens with cell wall perforation and cell membrane permeabilization. The destruction of cell envelope integrity was further verified by propidium iodide (PI) uptake and lactic dehydrogenase (LDH) release. BMP11 increased inner-membrane permeability of C. sakazakii in a concentration-dependent manner. Meanwhile, BMP11 exhibited antibiofilm formation activity. In addition, BMP11 inhibited the growth of L. monocytogenes in milk. Therefore, BMP11 had promising potential as antimicrobial to control foodborne pathogens in dairy products.

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September 22, 2019

Genes significantly associated with lineage II food isolates of Listeria monocytogenes.

Listeria monocytogenes is a widespread foodborne pathogen that can cause listeriosis, a potentially fatal infection. L. monocytogenes is subdivided into four phylogenetic lineages, with the highest incidence of listeriosis occurring within lineage I followed by lineage II. Strains of L. monocytogenes differ in their phenotypic characteristics, including virulence. However, the genetic bases for these observed differences are not well understood, and current efforts to monitor L. monocytogenes in food consider all strains to be equally virulent. We use a comparative genomics approach to identify genes and single nucleotide polymorphisms (SNPs) in 174 clinical and food isolates of L. monocytogenes that potentially contribute to virulence or the capacity to adapt to food environments.No SNPs are significantly associated with food or clinical isolates. No genes are significantly associated with food or clinical isolates from lineage I, but eight genes consisting of multiple homologues are associated with lineage II food isolates. These include three genes which encode hypothetical proteins, the cadmium resistance genes cadA and cadC, the multi-drug resistance gene ebrB, a quaternary ammonium compound resistance gene qac, and a regulatory gene. All eight genes are plasmid-borne, and most closed L. monocytogenes plasmids carry at least five of the genes (24/27). In addition, plasmids are more frequently associated with lineage II food isolates than with lineage II clinical isolates.We identify eight genes that are significantly associated with food isolates in lineage II. Interestingly, the eight genes are virtually absent in lineage II outbreak isolates, are composed of homologues which show a nonrandom distribution among lineage I serotypes, and the sequences are highly conserved across 27 closed Listeria plasmids. The functions of these genes should be explored further and will contribute to our understanding of how L. monocytogenes adapts to the host and food environments. Moreover, these genes may also be useful as markers for risk assessment models of either pathogenicity or the ability to proliferate in food and the food processing environment.

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September 22, 2019

SKA: Split Kmer Analysis Toolkit for Bacterial Genomic Epidemiology

Genome sequencing is revolutionising infectious disease epidemiology, providing a huge step forward in sensitivity and specificity over more traditional molecular typing techniques. However, the complexity of genome data often means that its analysis and interpretation requires high-performance compute infrastructure and dedicated bioinformatics support. Furthermore, current methods have limitations that can differ between analyses and are often opaque to the user, and their reliance on multiple external dependencies makes reproducibility difficult. Here I introduce SKA, a toolkit for analysis of genome sequence data from closely-related, small, haploid genomes. SKA uses split kmers to rapidly identify variation between genome sequences, making it possible to analyse hundreds of genomes on a standard home computer. Tests on publicly available simulated and real-life data show that SKA is both faster and more efficient than the gold standard methods used today while retaining similar levels of accuracy for epidemiological purposes. SKA can take raw read data or genome assemblies as input and calculate pairwise distances, create single linkage clusters and align genomes to a reference genome or using a reference-free approach. SKA requires few decisions to be made by the user, which, along with its computational efficiency, allows genome analysis to become accessible to those with only basic bioinformatics training. The limitations of SKA are also far more transparent than for current approaches, and future improvements to mitigate these limitations are possible. Overall, SKA is a powerful addition to the armoury of the genomic epidemiologist. SKA source code is available from Github (https://github.com/simonrharris/SKA).

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