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1.
Nat Commun ; 8(1): 2134, 2017 12 12.
Article in English | MEDLINE | ID: mdl-29233980

ABSTRACT

The original version of this Article contained errors in the units of concentration of three reagents listed in the Methods. These errors have all been corrected in both the PDF and HTML versions of the Article.

2.
Nat Commun ; 8(1): 84, 2017 07 20.
Article in English | MEDLINE | ID: mdl-28729688

ABSTRACT

Microbial single-cell genomics can be used to provide insights into the metabolic potential, interactions, and evolution of uncultured microorganisms. Here we present WGA-X, a method based on multiple displacement amplification of DNA that utilizes a thermostable mutant of the phi29 polymerase. WGA-X enhances genome recovery from individual microbial cells and viral particles while maintaining ease of use and scalability. The greatest improvements are observed when amplifying high G+C content templates, such as those belonging to the predominant bacteria in agricultural soils. By integrating WGA-X with calibrated index-cell sorting and high-throughput genomic sequencing, we are able to analyze genomic sequences and cell sizes of hundreds of individual, uncultured bacteria, archaea, protists, and viral particles, obtained directly from marine and soil samples, in a single experiment. This approach may find diverse applications in microbiology and in biomedical and forensic studies of humans and other multicellular organisms.Single-cell genomics can be used to study uncultured microorganisms. Here, Stepanauskas et al. present a method combining improved multiple displacement amplification and FACS, to obtain genomic sequences and cell size information from uncultivated microbial cells and viral particles in environmental samples.


Subject(s)
Deinococcus/genetics , Escherichia coli/genetics , Genome, Bacterial/genetics , Genome, Viral/genetics , Prochlorococcus/genetics , Virion/genetics , Base Composition , Cell Size , Deinococcus/cytology , Escherichia coli/cytology , Flow Cytometry , Nucleic Acid Amplification Techniques , Prochlorococcus/cytology , Sequence Analysis, DNA , Sequence Analysis, RNA , Single-Cell Analysis
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