Biology subjects

Ring, N.

Publications and source records attributed to Ring, N..

6 recordsLinked to original sources

bioRxiv2026

A systematic comparison of tools for predicting antimicrobial resistance from nanopore sequence data

Antimicrobial resistance (AMR) presents a pressing need to ensure that the right antimicrobials are used to target the right microbes at the right time. Ideally, the appropriate antimicrobial is selected after patient samples have been cultured and assessed with antimicrobial sensitivity testing (AST). However, the time needed for culture-based diagnosis leads to immediate empirical treatment, often with broad-spectrum and/or high-tier antimicrobials. Direct nanopore metagenomic whole genome sequencing to identify pathogens and predict their antimicrobial resistance is a rapid and patient-side alternative. A limitation of this approach is potential inconsistencies in in silico predicted AMR phenotypes. Here, we benchmarked the current performance of in silico AMR prediction strategies for nanopore-generated long read data. Using nanopore data paired with AST phenotyping for 201 samples representing 27 bacterial species, we assessed the impact of basecalling mode, data volume, and assembly strategy, and compared the performance of eight in silico AMR prediction tools with seven AMR databases. We found that basecalling accuracy mode does not significantly affect the overall accuracy of in silico AMR predictions, but assembly strategy and data volume both do. Prediction tools using the ResFinder database scored best for balanced accuracy (0.80 {+/-} 0.02 for both ResFinder and ABRicate), whilst DeepARG scored best for sensitivity (0.65 {+/-} 0.03); predictions were more accurate for some antibiotic classes and genera than others. However, even the best performing in silico AMR prediction strategy missed some resistance identified by lab-based AST. We conclude therefore that, currently, in silico AMR prediction can supplement lab-based AST, but cannot yet replace it.

microbiology↗

bioRxiv2024

Genotype-environment-driven dysbiosis in the skin microbiome of ichthyosis

Monogenic skin disorders such as ichthyosis introduce multiple sources of disturbance to the skin, including the direct biochemical consequences of the genotype, the phenotypic changes in skin physiology, and an altered skin microbiome. The association between changes in the skin microbiome and the diseases genotypic and phenotypic effects are of both ecological and clinical interest but are historically obscured by 1) the limited resolution of metagenomic profiles, and 2) additional sources of variation such as age and topical/oral treatments. Here we characterize the skin microbiome from seven ichthyosis genotypes, at species, strain, and metabolic pathway levels. Critically, we assess the association between these microbiome features and the ichthyosis genotype and phenotype while adjusting for contextual host covariables. We show that the ichthyosis genotype, especially that caused by mutations in TGM1, and the ichthyosis phenotype, particularly transepidermal water loss (TEWL), and personal covariables, such as topical emollients and oral retinoids, collectively, and sometimes antagonistically, influence the species community, strain population, and metabolic potential of the skin microbiome. One Sentence SummarySpecies, strain, and the composition of metabolic pathways of the cutaneous microbiome in ichthyosis are influenced by the mutation genotype of ichthyosis, phenotypic features of ichthyosis such as transepidermal water loss, scaling, and skin hydration, and host age and treatment.

microbiology↗

bioRxiv2023

Rapid metagenomic sequencing for diagnosis and antimicrobial sensitivity prediction of canine bacterial infections

Antimicrobial resistance is one of the greatest current threats to human and animal health. There is an urgent need to ensure that antimicrobials are used appropriately to limit the emergence and impact of resistance. In the human and veterinary healthcare setting, traditional culture and antimicrobial sensitivity testing is typically conducted, requiring 48-72 h to identify appropriate antibiotics for treatment. In the meantime, broad-spectrum antimicrobials are often used, which may be ineffective or impact non-target commensal bacteria. Here, we present a rapid diagnostics pipeline, involving metagenomic Nanopore sequencing directly from clinical urine and skin samples of dogs. We have optimised this pipeline to be versatile and easily implementable in a clinical setting, with the potential for future adaptation to different sample types and animals. Using our approach, we can identify the bacterial pathogen present in a sample with 100% sensitivity within 5 hours. For urine samples, we can predict antibiotic sensitivity with up to 95% accuracy. However, skin swabs which exhibited lower bacterial abundance and higher host DNA, were less amenable and an additional host depletion step may be required prior to DNA extraction. In summary, our pipeline represents an important step towards the design of individually tailored veterinary treatment plans on the same day as presentation, facilitating effective use of antibiotics and promoting antimicrobial stewardship. Impact statementAntimicrobial resistance (AMR) is a major threat to veterinary and human healthcare. It is a one-health problem, as humans and dogs are in close contact, require similar antibiotics, and share bacterial pathogens and AMR genes. Limited treatments options due to AMR would have a catastrophic effect. The risk of infection would render much of modern healthcare (including critical care, orthopaedic and complex surgeries, implants and oncology) impossible. In addition, routine infections could become life threatening. It is therefore critical to preserve the efficacy of these drugs for the future. Inappropriate antimicrobial use is the single biggest factor driving AMR. Antimicrobial stewardship involves reducing antimicrobial use, using first-line narrow-spectrum drugs, and avoiding overly long treatment. Delays in culture-based diagnosis lead clinicians to speculatively use broad-spectrum antibiotics and prolong courses of treatment beyond clinical cure. Our rapid diagnostic approach will have a major impact in reducing, refining and replacing antibiotic use. This will advance antimicrobial stewardship in veterinary and human healthcare. Data summaryAll sequencing data mentioned in this work is available from NCBI, BioProject PRJNA925092, Biosamples SAMN32880396 to SAMN32880438, run accessions SRR23195371 to SRR23195413. The authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files.

microbiology↗

bioRxiv2021

Comparative genomics of Bordetella pertussis isolates from New Zealand, a country with an uncommonly high incidence of whooping cough

2.Whooping cough, the respiratory disease caused by Bordetella pertussis, has undergone a wide-spread resurgence over the last several decades. Previously, we developed a pipeline to assemble the repetitive B. pertussis genome into closed sequences using hybrid nanopore and Illumina sequencing. Here, this sequencing pipeline was used to conduct a more high-throughput, longitudinal screen of 66 strains isolated between 1982 and 2018 in New Zealand. New Zealand has a higher incidence of whooping cough than many other countries; usually at least twice as many cases per 100,000 people as the USA and UK and often even higher, despite similar rates of vaccine uptake. To the best of our knowledge, these strains are the first New Zealand B. pertussis isolates to be sequenced. The analyses here show that, on the whole, genomic trends in New Zealand B. pertussis isolates, such as changing allelic profile in vaccine-related genes and increasing pertactin deficiency, have paralleled those seen elsewhere in the world. At the same time, phylogenetic comparisons of the New Zealand isolates with global isolates suggest that a number of strains are circulating in New Zealand which cluster separately from other global strains, but which are closely related to each other. The results of this study add to a growing body of knowledge regarding recent changes to the B. pertussis genome, and are the first genetic investigation into B. pertussis isolates from New Zealand. 3. Impact statementSince the 1990s, whooping cough has been resurgent in many countries around the world, despite the wide availability of vaccines. New Zealand has often had a higher incidence of whooping cough than other countries such as the USA, UK and Australia, both during outbreak periods and in the intervening years. One potential reason for the resurgence of whooping cough is genetic changes to the causative bacterium, Bordetella pertussis, with several recently identified, ongoing global genetic trends. No B. pertussis isolates from New Zealand have previously been sequenced, however. Here, we used hybrid sequencing to investigate the genomes of 66 New Zealand B. pertussis isolates, collected between 1982 and 2018. This revealed that genetic trends in New Zealand B. pertussis match those observed elsewhere, but over the years a number of highly similar or identical strains appear to have circulated (or are currently circulating) in the country, a phenomenon not commonly noted elsewhere. This first study of B. pertussis isolates from New Zealand contributes to the global understanding of B. pertussis genomics, as well as providing the groundwork for any future whole genome sequencing of New Zealand B. pertussis isolates. 4. Data summaryO_LINanopore and Illumina fastq sequence files for all strains have been deposited in NCBIs Sequence Read Archive, BioProject PRJNA556977. A full list of accession numbers for all sequence read files is provided in Supplementary Table S1. C_LIO_LIGenome sequences for 63 strains have been deposited in NCBIs GenBank, BioProject PRJNA556977, accession numbers in Supplementary Table S1. C_LIO_LIGenome assemblies for 3 strains assembled using only nanopore data (NZ1, NZ5 and NZ29), which had a high number of pseudogenes, were not deposited in GenBank, but are available from Figshare: https://doi.org/10.6084/m9.figshare.12640463 C_LIO_LISource code and full commands used are available from Github: https://github.com/nataliering/Comparative-genomics-of-Bordetella-pertussis-isolates-from-New-Zealand C_LI The authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files.

genomics↗

bioRxiv2021

A polyphenol-rich extract of Olive Mill Wastewater Enhances cancer chemotherapy effects while mitigating cardiac toxicity.

BackgroundCardiovascular toxicities still remain one of the most undesirable side effects in cancer patients receiving chemotherapy, and cardiotoxicity has been detected associated with many therapeutic regimens. A number of mechanisms are reported for these effects, some of which are related to inflammation, oxygen radical generation, mitochondrial damage. Extra-virgin olive oil (EVOO) is rich in cancer preventive polyphenols endowed with anti-inflammatory, antioxidant activities which could exert protective effects on the heart cells. One very interesting derivative of EVOO preparation is represented by purified extract form waste waters. Here, we investigated the anti-cancer activity when combined with chemotherapeutics as well as potential cardioprotective activities of a polyphenol-rich extract from waste product of the EVOO, named A009. Methods and ResultsMice bearing prostate cancer (PCa) xenografts were treated with cisplatin with and without A009. Tumor cell growth was reduced by cis and by A009 and further hindered by the combination. The effects of the A009 extract on cardiovascular toxicities was investigated in vivo. Hearts of mice were analyzed, and the mitochondria were studied by transmission electron microscopy. A protection activity by A009 was observed. To confirm the in vivo data obtained with cisplatin therapy, tumor cell lines and rat cardiomyocytes were treated with cisplatin in vitro with and without A009. A009 enhanced cisplatin and 5FU reduced cancer cell growth while did not further affect co-treated rat cardiomyocytes. Another frequently used chemotherapeutic agent 5-fluorouracil (5FU), was also tested in this assay a similar effects were observed. The cardioprotective effects of the A009 extract towards 5 FU chemotherapy were further investigated in a second system of in vitro cultures, on cardiomyocytes freshly isolated from mice pups. These cells were treated with 5-fluorouracil and A009. Wastewater extract mitigated toxicity of the fluorpyrimidine. ConclusionsIn vivo, we found synergisms of A009 and cisplatin in prostate cancer treatment. Hearts of mice xenografted with PCa cell lines and receiving co-treatments of A009 extracts along with cisplatin had reduced mitochondria damage compared to chemotherapy alone, indicating a cardioprotective role. A009 in vitro was additive to cisplatin and 5FU to reduce cancer cell growth while did not further affect rat cardiomyocytes cell cultures treated with cisplatin and 5FU. The A009 extract also rescued the proliferation rate of neonatal murine cardiomyocytes treated with 5-Fluorouracil. Our study demonstrates that the polyphenol rich purified A009 extracts enhances the effect of chemotherapy in vitro and in vivo but mitigates effects on heart and heart cells. It could therefore represent a potential candidate for cardiovascular prevention in patients undergoing cancer chemotherapy.

cancer biology↗

bioRxiv2018

Resolving the complex Bordetella pertussis genome using barcoded nanopore sequencing

The genome of Bordetella pertussis is complex, with high GC content and many repeats, each longer than 1,000 bp. Short-read DNA sequencing is unable to resolve the structure of the genome; however, long-read sequencing offers the opportunity to produce single-contig B. pertussis assemblies using sequencing reads which are longer than the repetitive sections. We used an R9.4 MinION flow cell and barcoding to sequence five B. pertussis strains in a single sequencing run. We then trialled combinations of the many nanopore-user-community-built long-read analysis tools to establish the current optimal assembly pipeline for B. pertussis genome sequences. Our best long-read-only assemblies were produced by Canu read correction followed by assembly with Flye and polishing with Nanopolish, whilst the best hybrids (using nanopore and Illumina reads together) were produced by Canu correction followed by Unicycler. This pipeline produced closed genome sequences for four strains, revealing inter-strain genomic rearrangement. However, read mapping to the Tohama I reference genome suggests that the remaining strain contains an ultra-long duplicated region (over 100 kbp), which was not resolved by our pipeline. We have therefore demonstrated the ability to resolve the structure of several B. pertussis strains per single barcoded nanopore flow cell, but the genomes with highest complexity (e.g. very large duplicated regions) remain only partially resolved using the standard library preparation and will require an alternative library preparation method. For full strain characterisation, we recommend hybrid assembly of long and short reads together; for comparison of genome arrangement, assembly using long reads alone is sufficient.\n\nDATA SUMMARYO_LIFinal sequence read files (fastq) for all 5 strains have been deposited in the SRA, BioProject PRJNA478201, accession numbers SAMN09500966, SAMN09500967, SAMN09500968, SAMN09500969, SAMN09500970\nC_LIO_LIA full list of accession numbers for Illumina sequence reads is available in Table S1\nC_LIO_LIAssembly tests, basecalled read sets and reference materials are available from figshare: https://figshare.com/projects/Resolving_the_complex_Bordetella_pertussis_genome_using_barcoded_nanopore_sequencing/31313\nC_LIO_LIGenome sequences for B. pertussis strains UK36, UK38, UK39, UK48 and UK76 have been deposited in GenBank; accession numbers: CP031289, CP031112, CP031113, QRAX00000000, CP031114\nC_LIO_LISource code and full commands used are available from Github: https://github.com/nataliering/Resolving-the-complex-Bordetella-pertussis-genome-using-barcoded-nanopore-sequencing\nC_LI\n\nIMPACT STATEMENTOver the past two decades, whole genome sequencing has allowed us to understand microbial pathogenicity and evolution on an unprecedented level. However, repetitive regions, like those found throughout the B. pertussis genome, have confounded our ability to resolve complex genomes using short-read sequencing technologies alone. To produce closed B. pertussis genome sequences it is necessary to use a sequencing technology which can generate reads longer than these problematic genomic regions. Using barcoded nanopore sequencing, we show that multiple B. pertussis genomes can be resolved per flow cell. Use of our assembly pipeline to resolve further B. pertussis genomes will advance understanding of how genome-level differences affect the phenotypes of strains which appear monomorphic at nucleotide-level.\n\nThis work expands the recently emergent theme that even the most complex genomes can be resolved with sufficiently long sequencing reads. Additionally, we utilise a more widely accessible alternative sequencing platform to the Pacific Biosciences platform already used by large research centres such as the CDC. Our optimisation process, moreover, shows that the analysis tools favoured by the sequencing community do not necessarily produce the most accurate assemblies for all organisms; pipeline optimisation may therefore be beneficial in studies of unusually complex genomes.

microbiology↗