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Nucleic Acids Research Advance Access published online on September 18, 2009

Nucleic Acids Research, doi:10.1093/nar/gkp746
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© The Author(s) 2009. Published by Oxford University Press.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Methods Online

Phylogenetic screening of a bacterial, metagenomic library using homing endonuclease restriction and marker insertion

Pui Yi Yung1, Catherine Burke1, Matt Lewis2, Suhelen Egan1, Staffan Kjelleberg1 and Torsten Thomas1,*

1Centre for Marine Bio-Innovation and School of Biotechnology and Biomolecular Sciences, University of New South Wales, 2035 NSW, Australia and 2J. Craig Venter Institute, 9704 Medical Center Drive, Rockville, MD 20850, USA

*To whom correspondence should be addressed. Tel: +61 2 93853467; Fax: +61 2 93851779; Email: t.thomas{at}unsw.edu.au

Received June 1, 2009. Revised July 8, 2009. Accepted August 24, 2009.

Metagenomics provides access to the uncultured majority of the microbial world. The approaches employed in this field have, however, had limited success in linking functional genes to the taxonomic or phylogenetic origin of the organism they belong to. Here we present an efficient strategy to recover environmental DNA fragments that contain phylogenetic marker genes from metagenomic libraries. Our method involves the cleavage of 23S ribsosmal RNA (rRNA) genes within pooled library clones by the homing endonuclease I-CeuI followed by the insertion and selection of an antibiotic resistance cassette. This approach was applied to screen a library of 6500 fosmid clones derived from the microbial community associated with the sponge Cymbastela concentrica. Several fosmid clones were recovered after the screen and detailed phylogenetic and taxonomic assignment based on the rRNA gene showed that they belong to previously unknown organisms. In addition, compositional features of these fosmid clones were used to classify and taxonomically assign a dataset of environmental shotgun sequences. Our approach represents a valuable tool for the analysis of rapidly increasing, environmental DNA sequencing information.


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