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Improved yield and accuracy for DNA extraction in microbiome studies with variation in microbial biomass
Author(s) -
Amy Davis,
Christina M. Kohler,
Ramzi Alsallaq,
Randall T. Hayden,
Gabriela Marón,
Elisa Margolis
Publication year - 2019
Publication title -
biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/btn-2019-0016
Subject(s) - microbiome , replicate , dna extraction , metagenomics , extraction (chemistry) , biomass (ecology) , biology , yield (engineering) , dna , microbiology and biotechnology , chromatography , genetics , polymerase chain reaction , chemistry , gene , agronomy , materials science , mathematics , statistics , metallurgy
A major challenge for microbiome studies is maintaining an even and accurate DNA extraction in the presence of samples with a wide range of bacterial content. Here we compare five DNA extraction methods using replicate stool samples that were diluted to create high and low biomass samples. Our results indicate greater variation in microbiome composition between high and low biomass samples than variation between methods. Many of the extraction methods had reduced yield from low biomass samples; however, our adapted plate column-based extraction method was evenly efficient and captured the largest number of high-quality reads. Based on these results, we have identified a DNA extraction method that ensures adequate yield in metagenomic microbiome studies that have samples with a broad range of bacterial content.

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