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Research Letter

High or low correlation between co-occuring gene clusters and 16S rRNA gene phylogeny

  1. Knut Rudi1,*,
  2. Monika Sekelja2

Article first published online: 4 DEC 2012

DOI: 10.1111/1574-6968.12042

Issue

FEMS Microbiology Letters

FEMS Microbiology Letters

Volume 339, Issue 1, pages 23–29, February 2013

Additional Information

How to Cite

Rudi, K. and Sekelja, M. (2013), High or low correlation between co-occuring gene clusters and 16S rRNA gene phylogeny. FEMS Microbiology Letters, 339: 23–29. doi: 10.1111/1574-6968.12042

Author Information

  1. 1

    Department of Chemistry, Biotechnology and Food Science, Norwegian University for Life Sciences, Ås, Norway

  2. 2

    Genetic Analysis AS, Oslo, Norway

*Correspondence: Knut Rudi, Department of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, PO Box 5003, NO-1432 Ås, Norway. Tel.: +47 64 96 58 73; fax: +47 64 96 59 01; e-mail: knut.rudi@umb.no

Publication History

  1. Issue published online: 14 JAN 2013
  2. Article first published online: 4 DEC 2012
  3. Accepted manuscript online: 9 NOV 2012 05:05AM EST
  4. Manuscript Revised: 1 NOV 2012
  5. Manuscript Accepted: 1 NOV 2012
  6. Manuscript Received: 19 SEP 2012

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Fig. S1. Separation of the taxonomic groups by the pentamer PCA distances (PCA scores) for the 16S rRNA gene data.

Fig. S2. Correspondence between alignment-based and pentamer PCA (score) distances for the 16S rRNA gene data.

Fig. S3. Distribution of TIGFAM coverage.

Fig. S4. Influence of the TIGRFAM categories on the co-occurring gene clusters.

Table S1. Loadings for the co-occurring gene clusters for genes showing a gene cluster specific distribution.

Please note: Wiley-Blackwell is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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