Specific single-cell isolation and genomic amplification of uncultured microorganisms

Publication: Research - peer-reviewJournal article – Annual report year: 2007

View graph of relations

We in this study describe a new method for genomic studies of individual uncultured prokaryotic organisms, which was used for the isolation and partial genome sequencing of a soil archaeon. The diversity of Archaea in a soil sample was mapped by generating a clone library using group-specific primers in combination with a terminal restriction fragment length polymorphism profile. Intact cells were extracted from the environmental sample, and fluorescent in situ hybridization probing with Cy3-labeled probes designed from the clone library was subsequently used to detect the organisms of interest. Single cells with a bright fluorescent signal were isolated using a micromanipulator and the genome of the single isolated cells served as a template for multiple displacement amplification (MDA) using the Phi29 DNA polymerase. The generated MDA product was afterwards used for 16S rRNA gene sequence analysis and shotgun-cloned for additional genomic analysis. Sequence analysis showed > 99% 16S rRNA gene homology to soil crenarchaeotal clone SCA1170 and shotgun fragments had the closest match to a crenarchaeotal BAC clone previously retrieved from a soil sample. The system was validated using Methanothermobacter thermoautotrophicus as single-cell test organism, and the validation setup produced 100% sequence homology to the ten tested regions of the genome of this organism.
Original languageEnglish
JournalApplied Microbiology and Biotechnology
Publication date2007
Volume74
Issue4
Pages926-935
ISSN0175-7598
DOIs
StatePublished
CitationsWeb of Science® Times Cited: 53

Keywords

  • Archaea, multiple displacement amplification, single cell genomics
Download as:
Download as PDF
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
Word

ID: 3820762