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rRNA Analysis Based on Long-Read High-Throughput Sequencing Reveals a More Accurate Diagnostic for the Bacterial Infection of Ascites

Traditional pathogenic diagnosis presents defects such as a low positivity rate, inability to identify uncultured microorganisms, and time-consuming nature. Clinical metagenomics next-generation sequencing can be used to detect any pathogen, compensating for the shortcomings of traditional pathogeni...

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Detalles Bibliográficos
Autores principales: Yu, Xiaoling, Jiang, Wenqian, Huang, Xinhui, Lin, Jun, Ye, Hanhui, Liu, Baorong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642000/
https://www.ncbi.nlm.nih.gov/pubmed/34869767
http://dx.doi.org/10.1155/2021/6287280
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author Yu, Xiaoling
Jiang, Wenqian
Huang, Xinhui
Lin, Jun
Ye, Hanhui
Liu, Baorong
author_facet Yu, Xiaoling
Jiang, Wenqian
Huang, Xinhui
Lin, Jun
Ye, Hanhui
Liu, Baorong
author_sort Yu, Xiaoling
collection PubMed
description Traditional pathogenic diagnosis presents defects such as a low positivity rate, inability to identify uncultured microorganisms, and time-consuming nature. Clinical metagenomics next-generation sequencing can be used to detect any pathogen, compensating for the shortcomings of traditional pathogenic diagnosis. We report third-generation long-read sequencing results and second-generation short-read sequencing results for ascitic fluid from a patient with liver ascites and compared the two types of sequencing results with the results of traditional clinical microbial culture. The distribution of pathogenic microbial species revealed by the two types of sequencing results was quite different, and the third-generation sequencing results were consistent with the results of traditional microbial culture, which can effectively guide subsequent treatment. Short reads, the lack of amplification, and enrichment to amplify signals from trace pathogens, and host background noise may be the reasons for the high error in the second-generation short-read sequencing results. Therefore, we propose that long-read-based rRNA analysis technology is superior to the short-read shotgun-based metagenomics method in the identification of pathogenic bacteria.
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spelling pubmed-86420002021-12-04 rRNA Analysis Based on Long-Read High-Throughput Sequencing Reveals a More Accurate Diagnostic for the Bacterial Infection of Ascites Yu, Xiaoling Jiang, Wenqian Huang, Xinhui Lin, Jun Ye, Hanhui Liu, Baorong Biomed Res Int Research Article Traditional pathogenic diagnosis presents defects such as a low positivity rate, inability to identify uncultured microorganisms, and time-consuming nature. Clinical metagenomics next-generation sequencing can be used to detect any pathogen, compensating for the shortcomings of traditional pathogenic diagnosis. We report third-generation long-read sequencing results and second-generation short-read sequencing results for ascitic fluid from a patient with liver ascites and compared the two types of sequencing results with the results of traditional clinical microbial culture. The distribution of pathogenic microbial species revealed by the two types of sequencing results was quite different, and the third-generation sequencing results were consistent with the results of traditional microbial culture, which can effectively guide subsequent treatment. Short reads, the lack of amplification, and enrichment to amplify signals from trace pathogens, and host background noise may be the reasons for the high error in the second-generation short-read sequencing results. Therefore, we propose that long-read-based rRNA analysis technology is superior to the short-read shotgun-based metagenomics method in the identification of pathogenic bacteria. Hindawi 2021-11-17 /pmc/articles/PMC8642000/ /pubmed/34869767 http://dx.doi.org/10.1155/2021/6287280 Text en Copyright © 2021 Xiaoling Yu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yu, Xiaoling
Jiang, Wenqian
Huang, Xinhui
Lin, Jun
Ye, Hanhui
Liu, Baorong
rRNA Analysis Based on Long-Read High-Throughput Sequencing Reveals a More Accurate Diagnostic for the Bacterial Infection of Ascites
title rRNA Analysis Based on Long-Read High-Throughput Sequencing Reveals a More Accurate Diagnostic for the Bacterial Infection of Ascites
title_full rRNA Analysis Based on Long-Read High-Throughput Sequencing Reveals a More Accurate Diagnostic for the Bacterial Infection of Ascites
title_fullStr rRNA Analysis Based on Long-Read High-Throughput Sequencing Reveals a More Accurate Diagnostic for the Bacterial Infection of Ascites
title_full_unstemmed rRNA Analysis Based on Long-Read High-Throughput Sequencing Reveals a More Accurate Diagnostic for the Bacterial Infection of Ascites
title_short rRNA Analysis Based on Long-Read High-Throughput Sequencing Reveals a More Accurate Diagnostic for the Bacterial Infection of Ascites
title_sort rrna analysis based on long-read high-throughput sequencing reveals a more accurate diagnostic for the bacterial infection of ascites
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642000/
https://www.ncbi.nlm.nih.gov/pubmed/34869767
http://dx.doi.org/10.1155/2021/6287280
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