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326. Optimizing DNA Extraction from Pediatric Stool for Diagnosing Tuberculosis and Use in Next Generation Sequencing

BACKGROUND: Next generation sequencing (NGS) is quickly coming to the forefront of diagnostic tools to provide efficient, highly informative information from patient samples. Recently, it was established that patients with pulmonary Tuberculosis (TB) have Mycobacterium tuberculosis DNA present in th...

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Autores principales: Ness, Tara, Meiwes, Lennard A, Kay, Alexander, Mejia, Rojelio, Lange, Christoph, Mandalakas, Anna, DiNardo, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752410/
http://dx.doi.org/10.1093/ofid/ofac492.404
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author Ness, Tara
Meiwes, Lennard A
Kay, Alexander
Mejia, Rojelio
Lange, Christoph
Mandalakas, Anna
DiNardo, Andrew
author_facet Ness, Tara
Meiwes, Lennard A
Kay, Alexander
Mejia, Rojelio
Lange, Christoph
Mandalakas, Anna
DiNardo, Andrew
author_sort Ness, Tara
collection PubMed
description BACKGROUND: Next generation sequencing (NGS) is quickly coming to the forefront of diagnostic tools to provide efficient, highly informative information from patient samples. Recently, it was established that patients with pulmonary Tuberculosis (TB) have Mycobacterium tuberculosis DNA present in their stool samples, which can augment current diagnostic gaps. Optimizing extraction of DNA from stool for analysis via sequencing technologies is a paramount initial step to ensure accuracy of downstream sequencing applications. METHODS: Attenuated strains of Mycobacterium bovis derived from BCG were used as a model for Mtb. Human stool samples were spiked with varying known concentrations of BCG and extracted with four different DNA extraction kits (Fast DNA Spik Kit for Soil, DNeasy Blood and Tissue Kit, MagAttract HMW DNA Kit, and PowerFecal Pro DNA Kit). Each sample was subjected to quantitative polymerase chain reaction using designed primers and probes specific for identifying Mtb infection from stool. The samples underwent further analysis to assess overall DNA yield (Qubit fluorometer), DNA fragment length (Agilent tape measure), and DNA purity (Nanodrop spectrophotometer). RESULTS: Overall, the Fast DNA Spin Kit for Soil extraction kit showed the most optimal results. DNA isolated via this method showed the lowest cycle thresholds of Mtb amplification, indicating the most preserved amount of BCG specific DNA. In addition, this method showed the highest overall DNA yield and highest proportion of long DNA fragment lengths. Fluorometric analysis showed significant contamination in the 230 nm wavelength range, which was amended with an additional AMPure bead cleanup step. Quantiative PCR of Spiked BCG [Figure: see text] Quantitative PCR Cycle Threshold Values by Different DNA Extraction Kits CONCLUSION: The MPFast Soil Extraction kit, when compared to three other DNA extraction kits, performed the best on stool samples for isolating BCG DNA. Overall DNA yield, DNA length, and amount of specific BCG DNA were best optimized with this method and provided the best samples for sequencing analysis. This critical step is the first of many to realize the promise of stool-based NGS. DNA Quantity [Figure: see text] Quantity of Total DNA by Different DNA Extraction Kits Spectrophotometric Analysis [Figure: see text] Analysis of Absorption of Extracted DNA by Different DNA Extraction Kits Spectrophotometric Results [Figure: see text] Spectrophotometry Results of DNA Samples Extracted by Different DNA Extraction Kits DISCLOSURES: Lennard A. Meiwes, n/a, German Center for Infection Research (DZIF): Grant/Research Support.
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spelling pubmed-97524102022-12-16 326. Optimizing DNA Extraction from Pediatric Stool for Diagnosing Tuberculosis and Use in Next Generation Sequencing Ness, Tara Meiwes, Lennard A Kay, Alexander Mejia, Rojelio Lange, Christoph Mandalakas, Anna DiNardo, Andrew Open Forum Infect Dis Abstracts BACKGROUND: Next generation sequencing (NGS) is quickly coming to the forefront of diagnostic tools to provide efficient, highly informative information from patient samples. Recently, it was established that patients with pulmonary Tuberculosis (TB) have Mycobacterium tuberculosis DNA present in their stool samples, which can augment current diagnostic gaps. Optimizing extraction of DNA from stool for analysis via sequencing technologies is a paramount initial step to ensure accuracy of downstream sequencing applications. METHODS: Attenuated strains of Mycobacterium bovis derived from BCG were used as a model for Mtb. Human stool samples were spiked with varying known concentrations of BCG and extracted with four different DNA extraction kits (Fast DNA Spik Kit for Soil, DNeasy Blood and Tissue Kit, MagAttract HMW DNA Kit, and PowerFecal Pro DNA Kit). Each sample was subjected to quantitative polymerase chain reaction using designed primers and probes specific for identifying Mtb infection from stool. The samples underwent further analysis to assess overall DNA yield (Qubit fluorometer), DNA fragment length (Agilent tape measure), and DNA purity (Nanodrop spectrophotometer). RESULTS: Overall, the Fast DNA Spin Kit for Soil extraction kit showed the most optimal results. DNA isolated via this method showed the lowest cycle thresholds of Mtb amplification, indicating the most preserved amount of BCG specific DNA. In addition, this method showed the highest overall DNA yield and highest proportion of long DNA fragment lengths. Fluorometric analysis showed significant contamination in the 230 nm wavelength range, which was amended with an additional AMPure bead cleanup step. Quantiative PCR of Spiked BCG [Figure: see text] Quantitative PCR Cycle Threshold Values by Different DNA Extraction Kits CONCLUSION: The MPFast Soil Extraction kit, when compared to three other DNA extraction kits, performed the best on stool samples for isolating BCG DNA. Overall DNA yield, DNA length, and amount of specific BCG DNA were best optimized with this method and provided the best samples for sequencing analysis. This critical step is the first of many to realize the promise of stool-based NGS. DNA Quantity [Figure: see text] Quantity of Total DNA by Different DNA Extraction Kits Spectrophotometric Analysis [Figure: see text] Analysis of Absorption of Extracted DNA by Different DNA Extraction Kits Spectrophotometric Results [Figure: see text] Spectrophotometry Results of DNA Samples Extracted by Different DNA Extraction Kits DISCLOSURES: Lennard A. Meiwes, n/a, German Center for Infection Research (DZIF): Grant/Research Support. Oxford University Press 2022-12-15 /pmc/articles/PMC9752410/ http://dx.doi.org/10.1093/ofid/ofac492.404 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Ness, Tara
Meiwes, Lennard A
Kay, Alexander
Mejia, Rojelio
Lange, Christoph
Mandalakas, Anna
DiNardo, Andrew
326. Optimizing DNA Extraction from Pediatric Stool for Diagnosing Tuberculosis and Use in Next Generation Sequencing
title 326. Optimizing DNA Extraction from Pediatric Stool for Diagnosing Tuberculosis and Use in Next Generation Sequencing
title_full 326. Optimizing DNA Extraction from Pediatric Stool for Diagnosing Tuberculosis and Use in Next Generation Sequencing
title_fullStr 326. Optimizing DNA Extraction from Pediatric Stool for Diagnosing Tuberculosis and Use in Next Generation Sequencing
title_full_unstemmed 326. Optimizing DNA Extraction from Pediatric Stool for Diagnosing Tuberculosis and Use in Next Generation Sequencing
title_short 326. Optimizing DNA Extraction from Pediatric Stool for Diagnosing Tuberculosis and Use in Next Generation Sequencing
title_sort 326. optimizing dna extraction from pediatric stool for diagnosing tuberculosis and use in next generation sequencing
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752410/
http://dx.doi.org/10.1093/ofid/ofac492.404
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