Identification of proteins likely to be involved in morphogenesis, cell division, and signal transduction in Planctomycetes by comparative genomics

Research output: Contribution to journalResearch articleContributedpeer-review


  • Christian Jogler - , Massachusetts General Hospital (Author)
  • Jost Waldmann - (Author)
  • Xiaoluo Huang - (Author)
  • Mareike Jogler - (Author)
  • Frank Oliver Glöckner - (Author)
  • Thorsten Mascher - , Chair of General Microbiology (Author)
  • Roberto Kolter - (Author)


Members of the Planctomycetes clade share many unusual features for bacteria. Their cytoplasm contains membrane-bound compartments, they lack peptidoglycan and FtsZ, they divide by polar budding, and they are capable of endocytosis. Planctomycete genomes have remained enigmatic, generally being quite large (up to 9 Mb), and on average, 55% of their predicted proteins are of unknown function. Importantly, proteins related to the unusual traits of Planctomycetes remain largely unknown. Thus, we embarked on bioinformatic analyses of these genomes in an effort to predict proteins that are likely to be involved in compartmentalization, cell division, and signal transduction. We used three complementary strategies. First, we defined the Planctomycetes core genome and subtracted genes of well-studied model organisms. Second, we analyzed the gene content and synteny of morphogenesis and cell division genes and combined both methods using a "guilt-by-association" approach. Third, we identified signal transduction systems as well as sigma factors. These analyses provide a manageable list of candidate genes for future genetic studies and provide evidence for complex signaling in the Planctomycetes akin to that observed for bacteria with complex life-styles, such as Myxococcus xanthus.


Original languageEnglish
Pages (from-to)6419-6430
Number of pages12
JournalJournal of bacteriology
Issue number23
Publication statusPublished - Dec 2012

External IDs

PubMedCentral PMC3497475
Scopus 84871043181



  • Bacteria/cytology, Bacterial Proteins/genetics, Cell Division, Computational Biology/methods, Genome, Bacterial, Signal Transduction

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