Literature DB >> 31762512

Comparison of DNA Extraction Methods for Optimal Recovery of Metagenomic DNA from Human and Environmental Samples.

Mohita Gaur1, Aarushi Vasudeva1, Anoop Singh1, Vishal Sharma1, Himani Khurana1, Ram Krishan Negi1, Jung-Kul Lee2, Vipin Chandra Kalia2, Richa Misra3, Yogendra Singh1.   

Abstract

Metagenomics is the study of gene pool of an entire community in a particular niche. This provides valuable information about the functionality of host-microbe interaction in a biological ecosystem. Efficient metagenomic DNA extraction is a critical pre-requisite for a successful sequencing run in a metagenomic study. Although isolation of human stool metagenomic DNA is fairly standardized, the same protocol does not work as efficiently in fecal DNA from other organisms. In this study, we report a comparison of manual and commercial DNA extraction methods for diverse samples such as human stool, fish gut and soil. Fishes are known to have variable microbial diversity based on their food habits, so the study included two different varieties of fishes. A modified protocol for effective isolation of metagenomic DNA from human milk samples is also reported, highlighting critical precautions. Recent studies have emphasized the importance of studying functionality of human milk metagenome to understand its influence on infants' health. While manual method works well with most samples and therefore can be a method of choice for testing new samples, broad-range commercial kit offers advantage of high purity and quality. DNA extraction of different samples would go a long way in unraveling the unexplored association between microbes and host in a biological system. © Association of Microbiologists of India 2019.

Entities:  

Keywords:  Fecal; Fish gut; Metagenomic DNA; Milk; Soil; Stool

Year:  2019        PMID: 31762512      PMCID: PMC6842390          DOI: 10.1007/s12088-019-00832-y

Source DB:  PubMed          Journal:  Indian J Microbiol        ISSN: 0046-8991            Impact factor:   2.461


  24 in total

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Authors:  L Quigley; O O'Sullivan; T P Beresford; R Paul Ross; G F Fitzgerald; P D Cotter
Journal:  J Appl Microbiol       Date:  2012-04-24       Impact factor: 3.772

2.  Metagenomics: Future of microbial gene mining.

Authors:  J Vakhlu; Avneet Kour Sudan; B N Johri
Journal:  Indian J Microbiol       Date:  2008-07-27       Impact factor: 2.461

3.  In search of versatile organisms for quorum-sensing inhibitors: acyl homoserine lactones (AHL)-acylase and AHL-lactonase.

Authors:  Vipin Chandra Kalia
Journal:  FEMS Microbiol Lett       Date:  2014-09-08       Impact factor: 2.742

4.  Comparison of DNA extraction methods for human gut microbial community profiling.

Authors:  Mi Young Lim; Eun-Ji Song; Sang Ho Kim; Jangwon Lee; Young-Do Nam
Journal:  Syst Appl Microbiol       Date:  2017-12-21       Impact factor: 4.022

5.  Insights into the Origin of Clostridium botulinum Strains: Evolution of Distinct Restriction Endonuclease Sites in rrs (16S rRNA gene).

Authors:  Ashish Bhushan; Tanmoy Mukherjee; Jayadev Joshi; Pratap Shankar; Vipin Chandra Kalia
Journal:  Indian J Microbiol       Date:  2015-01-18       Impact factor: 2.461

6.  The truth about metagenomics: quantifying and counteracting bias in 16S rRNA studies.

Authors:  J Paul Brooks; David J Edwards; Michael D Harwich; Maria C Rivera; Jennifer M Fettweis; Myrna G Serrano; Robert A Reris; Nihar U Sheth; Bernice Huang; Philippe Girerd; Jerome F Strauss; Kimberly K Jefferson; Gregory A Buck
Journal:  BMC Microbiol       Date:  2015-03-21       Impact factor: 3.605

7.  Impact of Sample Type and DNA Isolation Procedure on Genomic Inference of Microbiome Composition.

Authors:  Berith E Knudsen; Lasse Bergmark; Patrick Munk; Oksana Lukjancenko; Anders Priemé; Frank M Aarestrup; Sünje J Pamp
Journal:  mSystems       Date:  2016-10-18       Impact factor: 6.496

8.  Comparison of placenta samples with contamination controls does not provide evidence for a distinct placenta microbiota.

Authors:  Abigail P Lauder; Aoife M Roche; Scott Sherrill-Mix; Aubrey Bailey; Alice L Laughlin; Kyle Bittinger; Rita Leite; Michal A Elovitz; Samuel Parry; Frederic D Bushman
Journal:  Microbiome       Date:  2016-06-23       Impact factor: 14.650

9.  Evaluation of milk sample fractions for characterization of milk microbiota from healthy and clinical mastitis cows.

Authors:  Svetlana Ferreira Lima; Marcela Lucas de Souza Bicalho; Rodrigo Carvalho Bicalho
Journal:  PLoS One       Date:  2018-03-21       Impact factor: 3.240

Review 10.  Understanding and overcoming the pitfalls and biases of next-generation sequencing (NGS) methods for use in the routine clinical microbiological diagnostic laboratory.

Authors:  Stefan A Boers; Ruud Jansen; John P Hays
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2019-03-05       Impact factor: 3.267

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