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A method for selectively enriching microbial DNA from contaminating vertebrate host DNA
George R Feehery1, Erbay Yigit, Samuel O Oyola
1New England Biolabs Inc., Ipswich, Massachusetts, United States of America.
Plos One
|November 9, 2013
Summary
This study introduces a novel method using a methyl-CpG binding domain (MBD-Fc) to enrich microbial DNA from host DNA in various samples. This technique effectively removes host DNA, enhancing microbial DNA sequencing for microbiome analysis.
Area of Science:
- Genomics
- Microbiology
- Molecular Biology
Background:
- DNA sequencing of biological samples often contains a significant amount of host DNA, overshadowing microbial DNA.
- This excess host DNA complicates the analysis of microbial communities (microbiomes).
Purpose of the Study:
- To develop and validate a method for enriching microbial DNA by removing host DNA from various biological samples.
- To assess the effectiveness of the methyl-CpG binding domain-Fc fusion protein (MBD-Fc) method in host DNA depletion and microbial DNA enrichment.
Main Methods:
- Utilized a methyl-CpG binding domain (MBD) fused to the Fc region of a human antibody (MBD-Fc) for DNA separation.
- Employed protein A paramagnetic beads to create an enrichment complex for one-step host DNA removal.
- Applied the MBD-Fc method to DNA samples from human saliva, human blood, a mock malaria-infected blood sample, and a black molly fish.
Main Results:
- Achieved a 50-fold decrease in host genome-derived sequence reads.
- Observed an 8-11.5-fold increase in bacterial and Plasmodium DNA sequence reads.
- Demonstrated that bacterial species diversity and relative abundance were conserved, with Shannon-Wiener diversity indices remaining similar before and after enrichment.
Conclusions:
- The MBD-Fc method provides an effective one-step approach for enriching microbial DNA by depleting host DNA.
- This technique is applicable across diverse sample types, including saliva, blood, and fish DNA.
- The MBD-Fc enrichment holds significant promise for advancing targeted microbiome sequence analysis.
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