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Contributions and Challenges of High Throughput qPCR for Determining Antimicrobial Resistance in the Environment: A Critical Review

Expansion in whole genome sequencing and subsequent increase in antibiotic resistance targets have paved the way of high throughput qPCR (HT-qPCR) for analyzing hundreds of antimicrobial resistance genes (ARGs) in a single run. A meta-analysis of 51 selected studies is performed to evaluate ARGs abu...

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Autores principales: Waseem, Hassan, Jameel, Sana, Ali, Jafar, Saleem Ur Rehman, Hamza, Tauseef, Isfahan, Farooq, Uzma, Jamal, Asif, Ali, Muhammad Ishtiaq
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337382/
https://www.ncbi.nlm.nih.gov/pubmed/30609875
http://dx.doi.org/10.3390/molecules24010163
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author Waseem, Hassan
Jameel, Sana
Ali, Jafar
Saleem Ur Rehman, Hamza
Tauseef, Isfahan
Farooq, Uzma
Jamal, Asif
Ali, Muhammad Ishtiaq
author_facet Waseem, Hassan
Jameel, Sana
Ali, Jafar
Saleem Ur Rehman, Hamza
Tauseef, Isfahan
Farooq, Uzma
Jamal, Asif
Ali, Muhammad Ishtiaq
author_sort Waseem, Hassan
collection PubMed
description Expansion in whole genome sequencing and subsequent increase in antibiotic resistance targets have paved the way of high throughput qPCR (HT-qPCR) for analyzing hundreds of antimicrobial resistance genes (ARGs) in a single run. A meta-analysis of 51 selected studies is performed to evaluate ARGs abundance trends over the last 7 years. WaferGen(TM) SmartChip is found to be the most widely used HT-qPCR platform among others for evaluating ARGs. Up till now around 1000 environmental samples (excluding biological replicates) from different parts of the world have been analyzed on HT-qPCR. Calculated detection frequency and normalized ARGs abundance (ARGs/16S rRNA gene) reported in gut microbiome studies have shown a trend of low ARGs as compared to other environmental matrices. Disparities in the HT-qPCR data analysis which are causing difficulties to researchers in precise interpretation of results have been highlighted and a possible way forward for resolving them is also suggested. The potential of other amplification technologies and point of care or field deployable devices for analyzing ARGs have also been discussed in the review. Our review has focused on updated information regarding the role, current status and future perspectives of HT-qPCR in the field of antimicrobial resistance.
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spelling pubmed-63373822019-01-25 Contributions and Challenges of High Throughput qPCR for Determining Antimicrobial Resistance in the Environment: A Critical Review Waseem, Hassan Jameel, Sana Ali, Jafar Saleem Ur Rehman, Hamza Tauseef, Isfahan Farooq, Uzma Jamal, Asif Ali, Muhammad Ishtiaq Molecules Review Expansion in whole genome sequencing and subsequent increase in antibiotic resistance targets have paved the way of high throughput qPCR (HT-qPCR) for analyzing hundreds of antimicrobial resistance genes (ARGs) in a single run. A meta-analysis of 51 selected studies is performed to evaluate ARGs abundance trends over the last 7 years. WaferGen(TM) SmartChip is found to be the most widely used HT-qPCR platform among others for evaluating ARGs. Up till now around 1000 environmental samples (excluding biological replicates) from different parts of the world have been analyzed on HT-qPCR. Calculated detection frequency and normalized ARGs abundance (ARGs/16S rRNA gene) reported in gut microbiome studies have shown a trend of low ARGs as compared to other environmental matrices. Disparities in the HT-qPCR data analysis which are causing difficulties to researchers in precise interpretation of results have been highlighted and a possible way forward for resolving them is also suggested. The potential of other amplification technologies and point of care or field deployable devices for analyzing ARGs have also been discussed in the review. Our review has focused on updated information regarding the role, current status and future perspectives of HT-qPCR in the field of antimicrobial resistance. MDPI 2019-01-03 /pmc/articles/PMC6337382/ /pubmed/30609875 http://dx.doi.org/10.3390/molecules24010163 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Waseem, Hassan
Jameel, Sana
Ali, Jafar
Saleem Ur Rehman, Hamza
Tauseef, Isfahan
Farooq, Uzma
Jamal, Asif
Ali, Muhammad Ishtiaq
Contributions and Challenges of High Throughput qPCR for Determining Antimicrobial Resistance in the Environment: A Critical Review
title Contributions and Challenges of High Throughput qPCR for Determining Antimicrobial Resistance in the Environment: A Critical Review
title_full Contributions and Challenges of High Throughput qPCR for Determining Antimicrobial Resistance in the Environment: A Critical Review
title_fullStr Contributions and Challenges of High Throughput qPCR for Determining Antimicrobial Resistance in the Environment: A Critical Review
title_full_unstemmed Contributions and Challenges of High Throughput qPCR for Determining Antimicrobial Resistance in the Environment: A Critical Review
title_short Contributions and Challenges of High Throughput qPCR for Determining Antimicrobial Resistance in the Environment: A Critical Review
title_sort contributions and challenges of high throughput qpcr for determining antimicrobial resistance in the environment: a critical review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337382/
https://www.ncbi.nlm.nih.gov/pubmed/30609875
http://dx.doi.org/10.3390/molecules24010163
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