Literature DB >> 26569458

Changes in 16s RNA Gene Microbial Community Profiling by Concentration of Prokaryotic DNA.

Angela Glassing1, Scot E Dowd2, Susan Galandiuk3, Brian Davis4, Jeffrey R Jorden3, Rodrick J Chiodini5.   

Abstract

Microbial metagenomics are hindered in clinical tissue samples as a result of the large relative amount of human DNA in relation to microbial DNA acting as competitive inhibitors of downstream applications. We evaluated the LOOXSTER® Enrichment Kit to separate eukaryotic and prokaryotic DNA in submucosal intestinal tissue samples having a low microbial biomass and to determine the effects of enrichment on 16s rRNA microbiota sequencing. The enrichment kit reduced the amount of human DNA in the samples 40-70% resulting in a 3.5-fold increase in the number of 16s bacterial gene sequences detected on the Illumina MiSeq platform. This increase was accompanied by the detection of 41 additional bacterial genera and 94 tentative species. The additional bacterial taxa detected accounted for as much as 25% of the total bacterial population that significantly altered the relative prevalence and composition of the intestinal microbiota. The ability to reduce the competitive inhibition created by human DNA and the concentration of bacterial DNA may allow metagenomics to be performed on complex tissues containing a low bacterial biomass.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  16s sequencing; Eukaryotic human DNA; Metagenomics; Microbiome; Microbiota; Prokaryotic DNA; Purification; Separation

Mesh:

Substances:

Year:  2015        PMID: 26569458     DOI: 10.1016/j.mimet.2015.11.001

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  8 in total

1.  Microbial Diversity of Adult Aedes aegypti and Water Collected from Different Mosquito Aquatic Habitats in Puerto Rico.

Authors:  E P Caragata; L M Otero; C V Tikhe; R Barrera; G Dimopoulos
Journal:  Microb Ecol       Date:  2021-04-16       Impact factor: 4.552

2.  Inherent bacterial DNA contamination of extraction and sequencing reagents may affect interpretation of microbiota in low bacterial biomass samples.

Authors:  Angela Glassing; Scot E Dowd; Susan Galandiuk; Brian Davis; Rodrick J Chiodini
Journal:  Gut Pathog       Date:  2016-05-26       Impact factor: 4.181

3.  Plasmid DNA contaminant in molecular reagents.

Authors:  N Wally; M Schneider; J Thannesberger; M T Kastner; T Bakonyi; S Indik; T Rattei; J Bedarf; F Hildebrand; J Law; J Jovel; C Steininger
Journal:  Sci Rep       Date:  2019-02-07       Impact factor: 4.379

4.  Human and Extracellular DNA Depletion for Metagenomic Analysis of Complex Clinical Infection Samples Yields Optimized Viable Microbiome Profiles.

Authors:  Maria T Nelson; Christopher E Pope; Robyn L Marsh; Daniel J Wolter; Eli J Weiss; Kyle R Hager; Anh T Vo; Mitchell J Brittnacher; Matthew C Radey; Hillary S Hayden; Alexander Eng; Samuel I Miller; Elhanan Borenstein; Lucas R Hoffman
Journal:  Cell Rep       Date:  2019-02-19       Impact factor: 9.423

Review 5.  Metagenomic Sequencing for Microbial DNA in Human Samples: Emerging Technological Advances.

Authors:  Yu Shi; Guoping Wang; Harry Cheuk-Hay Lau; Jun Yu
Journal:  Int J Mol Sci       Date:  2022-02-16       Impact factor: 5.923

6.  Effects of Microcystin-LR on Metabolic Functions and Structure Succession of Sediment Bacterial Community under Anaerobic Conditions.

Authors:  Qin Ding; Kaiyan Liu; Zhiquan Song; Rongli Sun; Juan Zhang; Lihong Yin; Yuepu Pu
Journal:  Toxins (Basel)       Date:  2020-03-15       Impact factor: 4.546

7.  The microbiome of diabetic foot ulcers: a comparison of swab and tissue biopsy wound sampling techniques using 16S rRNA gene sequencing.

Authors:  J Travis; M Malone; H Hu; A Baten; K Johani; F Huygens; K Vickery; K Benkendorff
Journal:  BMC Microbiol       Date:  2020-06-16       Impact factor: 3.605

Review 8.  Deciphering the Omics of Plant-Microbe Interaction: Perspectives and New Insights.

Authors:  Minaxi Sharma; Surya Sudheer; Zeba Usmani; Rupa Rani; Pratishtha Gupta
Journal:  Curr Genomics       Date:  2020-08       Impact factor: 2.236

  8 in total

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