Gene discovery within the planctomycete division of the domain Bacteria using sequence tags from genomic DNA libraries

Background The planctomycetes comprise a distinct group of the domain Bacteria, forming a separate division by phylogenetic analysis. The organization of their cells into membrane-defined compartments including membrane-bounded nucleoids, their budding reproduction and complete absence of peptidoglycan distinguish them from most other Bacteria. A random sequencing approach was applied to the genomes of two planctomycete species, Gemmata obscuriglobus and Pirellula marina, to discover genes relevant to their cell biology and physiology. Results Genes with a wide variety of functions were identified in G. obscuriglobus and Pi. marina, including those of metabolism and biosynthesis, transport, regulation, translation and DNA replication, consistent with established phenotypic characters for these species. The genes sequenced were predominantly homologous to those in members of other divisions of the Bacteria, but there were also matches with nuclear genomic genes of the domain Eukarya, genes that may have appeared in the planctomycetes via horizontal gene transfer events. Significant among these matches are those with two genes atypical for Bacteria and with significant cell-biology implications - integrin alpha-V and inter-alpha-trypsin inhibitor protein - with homologs in G. obscuriglobus and Pi. marina respectively. Conclusions The random-sequence-tag approach applied here to G. obscuriglobus and Pi. marina is the first report of gene recovery and analysis from members of the planctomycetes using genome-based methods. Gene homologs identified were predominantly similar to genes of Bacteria, but some significant best matches to genes from Eukarya suggest that lateral gene transfer events between domains may have involved this division at some time during its evolution.

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                                            [
  "bacteria-genomes",
  "gene-discovery",
  "genomic-dna",
  "nih",
  "planctomycetes"
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                                            {
  "name": "National Institutes of Health",
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  "NIH"
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