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Purifying the Impure: Sequencing Metagenomes and Metatranscriptomes from Complex Animal-associated Samples
Published on: December 22, 2014
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Capturing sequence diversity in metagenomes with comprehensive and scalable probe design
Hayden C Metsky1,2, Katherine J Siddle3,4, Adrianne Gladden-Young5
1Broad Institute of MIT and Harvard, Cambridge, MA, USA. hayden@mit.edu.
Nature Biotechnology
|February 6, 2019
Summary
We developed CATCH, a computational method to improve metagenomic sequencing sensitivity by designing custom nucleic acid probes for microbial detection. This approach enhances viral genome recovery and characterization in complex samples.
Area of Science:
- Microbiology
- Bioinformatics
- Genomics
Background:
- Metagenomic sequencing offers powerful microbial detection but requires enhanced sensitivity.
- Current methods often struggle with low-abundance or diverse microbial targets.
Purpose of the Study:
- To introduce CATCH, a computational tool for designing nucleic acid probe sets to improve metagenomic sequencing sensitivity.
- To enhance the capture and enrichment of diverse microbial taxa, particularly viral genomes.
Main Methods:
- CATCH designs optimal oligonucleotide probe sets for targeted nucleic acid capture.
- Probe sets were designed, synthesized, and validated for capturing viral genomes from complex metagenomic samples.
- Application included targeting 356 human viral species and analyzing outbreak samples.
Main Results:
- CATCH probe sets achieved an average 18-fold enrichment of unique viral content.
- Enabled assembly of previously unrecoverable viral genomes while preserving diversity.
- Successfully recovered Lassa fever virus genomes and improved detection of uncharacterized viruses.
Conclusions:
- CATCH significantly enhances the sensitivity and cost-effectiveness of metagenomic sequencing.
- The method facilitates more comprehensive microbial detection and characterization.
- CATCH is a valuable tool for infectious disease surveillance and research.
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