Evaluation of full-length nanopore 16S sequencing for detection of pathogens in microbial keratitis

Background Microbial keratitis is a leading cause of preventable blindness worldwide. Conventional sampling and culture techniques are time-consuming, with over 40% of cases being culture-negative. Nanopore sequencing technology is portable and capable of generating long sequencing reads in real-tim...

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Main Authors: Liying Low, Pablo Fuentes-Utrilla, James Hodson, John D. O’Neil, Amanda E. Rossiter, Ghazala Begum, Kusy Suleiman, Philip I. Murray, Graham R. Wallace, Nicholas J. Loman, Saaeha Rauz, West Midlands Collaborative Ophthalmology Network for Clinical Effectiveness & Research by Trainees (WM CONCERT)
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Language:English
Published: PeerJ Inc. 2021-02-01
Series:PeerJ
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Online Access:https://peerj.com/articles/10778.pdf
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author Liying Low
Pablo Fuentes-Utrilla
James Hodson
John D. O’Neil
Amanda E. Rossiter
Ghazala Begum
Kusy Suleiman
Philip I. Murray
Graham R. Wallace
Nicholas J. Loman
Saaeha Rauz
West Midlands Collaborative Ophthalmology Network for Clinical Effectiveness & Research by Trainees (WM CONCERT)
author_facet Liying Low
Pablo Fuentes-Utrilla
James Hodson
John D. O’Neil
Amanda E. Rossiter
Ghazala Begum
Kusy Suleiman
Philip I. Murray
Graham R. Wallace
Nicholas J. Loman
Saaeha Rauz
West Midlands Collaborative Ophthalmology Network for Clinical Effectiveness & Research by Trainees (WM CONCERT)
author_sort Liying Low
collection DOAJ
description Background Microbial keratitis is a leading cause of preventable blindness worldwide. Conventional sampling and culture techniques are time-consuming, with over 40% of cases being culture-negative. Nanopore sequencing technology is portable and capable of generating long sequencing reads in real-time. The aim of this study is to evaluate the potential of nanopore sequencing directly from clinical samples for the diagnosis of bacterial microbial keratitis. Methods Using full-length 16S rRNA amplicon sequences from a defined mock microbial community, we evaluated and benchmarked our bioinformatics analysis pipeline for taxonomic assignment on three different 16S rRNA databases (NCBI 16S RefSeq, RDP and SILVA) with clustering at 97%, 99% and 100% similarities. Next, we optimised the sample collection using an ex vivo porcine model of microbial keratitis to compare DNA recovery rates of 12 different collection methods: 21-gauge needle, PTFE membrane (4 mm and 6 mm), Isohelix™ SK-2S, Sugi® Eyespear, Cotton, Rayon, Dryswab™, Hydraflock®, Albumin-coated, Purflock®, Purfoam and Polyester swabs. As a proof-of-concept study, we then used the sampling technique that provided the highest DNA recovery, along with the optimised bioinformatics pipeline, to prospectively collected samples from patients with suspected microbial keratitis. The resulting nanopore sequencing results were then compared to standard microbiology culture methods. Results We found that applying alignment filtering to nanopore sequencing reads and aligning to the NCBI 16S RefSeq database at 100% similarity provided the most accurate bacterial taxa assignment. DNA concentration recovery rates differed significantly between the collection methods (p < 0.001), with the Sugi® Eyespear swab providing the highest mean rank of DNA concentration. Then, applying the optimised collection method and bioinformatics pipeline directly to samples from two patients with suspected microbial keratitis, sequencing results from Patient A were in agreement with culture results, whilst Patient B, with negative culture results and previous antibiotic use, showed agreement between nanopore and Illumina Miseq sequencing results. Conclusion We have optimised collection methods and demonstrated a novel workflow for identification of bacterial microbial keratitis using full-length 16S nanopore sequencing.
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spelling doaj.art-bfd1b38957d346f69decf2549dcaa8892023-12-03T09:28:24ZengPeerJ Inc.PeerJ2167-83592021-02-019e1077810.7717/peerj.10778Evaluation of full-length nanopore 16S sequencing for detection of pathogens in microbial keratitisLiying Low0Pablo Fuentes-Utrilla1James Hodson2John D. O’Neil3Amanda E. Rossiter4Ghazala Begum5Kusy Suleiman6Philip I. Murray7Graham R. Wallace8Nicholas J. Loman9Saaeha Rauz10West Midlands Collaborative Ophthalmology Network for Clinical Effectiveness & Research by Trainees (WM CONCERT)11Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, West Midlands, UKMicrobesNG/School of Biosciences, University of Birmingham, Birmingham, West Midlands, UKQueen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, West Midlands, UKInstitute of Inflammation and Ageing, University of Birmingham, Birmingham, West Midlands, UKInstitute of Microbiology and Infection, University of Birmingham, Birmingham, West Midlands, UKInstitute of Inflammation and Ageing, University of Birmingham, Birmingham, West Midlands, UKAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, West Midlands, UKAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, West Midlands, UKAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, West Midlands, UKMicrobesNG/School of Biosciences, University of Birmingham, Birmingham, West Midlands, UKAcademic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, West Midlands, UKBirmingham and Midland Eye Centre, Sandwell and West Birmingham Hospitals National Health Service (NHS) Trust, Birmingham, West Midlands, UKBackground Microbial keratitis is a leading cause of preventable blindness worldwide. Conventional sampling and culture techniques are time-consuming, with over 40% of cases being culture-negative. Nanopore sequencing technology is portable and capable of generating long sequencing reads in real-time. The aim of this study is to evaluate the potential of nanopore sequencing directly from clinical samples for the diagnosis of bacterial microbial keratitis. Methods Using full-length 16S rRNA amplicon sequences from a defined mock microbial community, we evaluated and benchmarked our bioinformatics analysis pipeline for taxonomic assignment on three different 16S rRNA databases (NCBI 16S RefSeq, RDP and SILVA) with clustering at 97%, 99% and 100% similarities. Next, we optimised the sample collection using an ex vivo porcine model of microbial keratitis to compare DNA recovery rates of 12 different collection methods: 21-gauge needle, PTFE membrane (4 mm and 6 mm), Isohelix™ SK-2S, Sugi® Eyespear, Cotton, Rayon, Dryswab™, Hydraflock®, Albumin-coated, Purflock®, Purfoam and Polyester swabs. As a proof-of-concept study, we then used the sampling technique that provided the highest DNA recovery, along with the optimised bioinformatics pipeline, to prospectively collected samples from patients with suspected microbial keratitis. The resulting nanopore sequencing results were then compared to standard microbiology culture methods. Results We found that applying alignment filtering to nanopore sequencing reads and aligning to the NCBI 16S RefSeq database at 100% similarity provided the most accurate bacterial taxa assignment. DNA concentration recovery rates differed significantly between the collection methods (p < 0.001), with the Sugi® Eyespear swab providing the highest mean rank of DNA concentration. Then, applying the optimised collection method and bioinformatics pipeline directly to samples from two patients with suspected microbial keratitis, sequencing results from Patient A were in agreement with culture results, whilst Patient B, with negative culture results and previous antibiotic use, showed agreement between nanopore and Illumina Miseq sequencing results. Conclusion We have optimised collection methods and demonstrated a novel workflow for identification of bacterial microbial keratitis using full-length 16S nanopore sequencing.https://peerj.com/articles/10778.pdfNanopore sequencingEye infectionMicrobial keratitisFull length 16S rRNA sequencingCornea infectionEye swab
spellingShingle Liying Low
Pablo Fuentes-Utrilla
James Hodson
John D. O’Neil
Amanda E. Rossiter
Ghazala Begum
Kusy Suleiman
Philip I. Murray
Graham R. Wallace
Nicholas J. Loman
Saaeha Rauz
West Midlands Collaborative Ophthalmology Network for Clinical Effectiveness & Research by Trainees (WM CONCERT)
Evaluation of full-length nanopore 16S sequencing for detection of pathogens in microbial keratitis
PeerJ
Nanopore sequencing
Eye infection
Microbial keratitis
Full length 16S rRNA sequencing
Cornea infection
Eye swab
title Evaluation of full-length nanopore 16S sequencing for detection of pathogens in microbial keratitis
title_full Evaluation of full-length nanopore 16S sequencing for detection of pathogens in microbial keratitis
title_fullStr Evaluation of full-length nanopore 16S sequencing for detection of pathogens in microbial keratitis
title_full_unstemmed Evaluation of full-length nanopore 16S sequencing for detection of pathogens in microbial keratitis
title_short Evaluation of full-length nanopore 16S sequencing for detection of pathogens in microbial keratitis
title_sort evaluation of full length nanopore 16s sequencing for detection of pathogens in microbial keratitis
topic Nanopore sequencing
Eye infection
Microbial keratitis
Full length 16S rRNA sequencing
Cornea infection
Eye swab
url https://peerj.com/articles/10778.pdf
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