Enhanced Extraction of Low-Molecular Weight DNA from Wastewater for Comprehensive Assessment of Antimicrobial Resistance

Jyotsna Karan; Sreya Mandal; Gulafsha Khan; Harshit Arya; Laasya Samhita

doi:10.3791/66899

Verbesserte Extraktion von niedermolekularer DNA aus Abwasser zur umfassenden Bewertung von Antib...

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Enhanced Extraction of Low-Molecular Weight DNA from Wastewater for Comprehensive Assessment of Antimicrobial Resistance

Verbesserte Extraktion von niedermolekularer DNA aus Abwasser zur umfassenden Bewertung von Antibiotikaresistenzen

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06:54 min

July 19, 2024

DOI: 10.3791/66899-v

Jyotsna Karan¹, Sreya Mandal¹, Gulafsha Khan¹, Harshit Arya¹, Laasya Samhita¹

¹Ashoka University

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Overview

This study develops a novel technique for assessing environmental antimicrobial resistance (AMR) by enriching low-molecular-weight extracellular DNA from wastewater samples. The protocol allows for the detection of genomic and horizontally transferred AMR genes, offering a cost-effective, kit-free method for environmental AMR tracking.

Key Study Components

Research Area

Antimicrobial resistance (AMR)
Environmental microbiology
Molecular genetics

Background

The evolution and transmission of antibiotic resistance in environmental settings
Current deficiencies in high yield extraction techniques of low molecular weight DNA
The importance of tracking AMR for public health

Methods Used

PCR and shotgun sequencing for microbial diversity profiling
Use of polyethylene glycol and sodium chloride for DNA extraction
Advanced AMR detection via metabar coding and gene-based panels

Main Results

Enhanced extraction of linear and low molecular weight DNA
Successful capture of both genomic and free DNA fractions associated with AMR
Foundational work for future developments in environmental AMR detection techniques

Conclusions

The study provides an efficient method for assessing environmental AMR
Promotes further research into both genetic and non-genetic factors contributing to antibiotic resistance

Frequently Asked Questions

What is the significance of low-molecular-weight extracellular DNA in AMR?

Low-molecular-weight extracellular DNA serves as a reservoir for AMR genes, thus its enrichment allows better detection and understanding of AMR dynamics.

How does this protocol enhance DNA extraction?

The protocol utilizes polyethylene glycol and sodium chloride to increase the yield of low molecular weight DNA during extraction from wastewater samples.

What are the applications of this research?

This research can help in monitoring trends in AMR, improving public health responses, and developing environmental policies.

What genetic mechanisms are being explored in relation to AMR?

The study compares contributions of horizontal gene transfer and genomic mutations to the development of antibiotic resistance.

Can this technique be developed for commercial use?

Yes, the protocol is designed to be cost-effective and potentially kit-free with further optimization.

How will the results impact future biological research?

This method opens avenues for more comprehensive studies on AMR in various environments, bridging gaps in genetic and environmental research.

What are the future directions for the authors' research?

Future studies will focus on expanding the database for tracking spatial-temporal variations in AMR and exploring non-genetic resistance mechanisms.

Hier stellen wir eine einfache Technik zur Bewertung der antimikrobiellen Resistenz in der Umwelt (AMR) vor, indem der Anteil an niedermolekularer extrazellulärer DNA erhöht wird. Eine vorherige Behandlung mit 20%-30% PEG und 1,2 M NaCl ermöglicht den Nachweis sowohl genomischer als auch horizontal übertragener AMR-Gene. Das Protokoll eignet sich für einen kitfreien Prozess mit zusätzlicher Optimierung.

Wir interessieren uns für die Evolution, Übertragung und molekularen Mechanismen, die der Antibiotikaresistenz zugrunde liegen. Die Arbeit, die in dieses Papier einfließt, entspringt unserem Interesse an Umweltresistenz. Derzeit versuchen wir, eine lokale Datenbank aufzubauen, um die räumliche zeitliche Variation der Antibiotikaresistenz anhand von Daten aus einem Jahr zu verfolgen.

Eine Kombination aus kulturbasierten Techniken und Genomik wird verwendet, um antimikrobielle Resistenzen zu erkennen und zu überwachen. Die DNA aus Proben wird einer PCR- oder Shotgun-Sequenzierung unterzogen, um ein Profil der mikrobiellen Vielfalt zu erstellen und Resistenzgene nachzuweisen. Darüber hinaus werden Metabarcoding und genbasierte AMR-Panels für die fortschrittliche AMR-Erkennung verwendet.

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