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Related Experiment Videos

Different SAR86 subgroups harbour divergent proteorhodopsins.

Gazalah Sabehi1, Oded Béjà, Marcelino T Suzuki

  • 1Department of Biology, Technion-Israel Institute of Technology, Haifa 32000, Israel.

Environmental Microbiology
|August 13, 2004
PubMed
Summary

Proteorhodopsins (PRs) exhibit diverse types within marine bacterial lineages, challenging direct correlation with rRNA phylogeny. Genomic analysis also revealed potential retinal biosynthesis pathways for these proton pumps.

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Area of Science:

  • Microbiology
  • Genomics
  • Biochemistry

Background:

  • Proteorhodopsins (PRs) are photoactive proton pumps found in marine bacteria.
  • PRs have been identified in gamma and alpha proteobacterial lineages, with recent studies indicating broader diversity.
  • Understanding PR variability and distribution within taxa remains limited.

Purpose of the Study:

  • To investigate PR sequence diversity within different SAR86 subgroups.
  • To explore the genomic context of PR genes and potential chromophore biosynthesis.
  • To assess the utility of bacterial artificial chromosomes (BACs) for analyzing environmental sequence data.

Main Methods:

  • Genomic analysis of large genome fragments (BACs) from SAR86 subgroups in Red Sea and Pacific waters.

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  • Sequence comparison of rRNA and PR genes.
  • Analysis of genomic regions flanking PR genes.
  • Comparison with environmental shotgun sequence assemblies.

    • Main Results:

    • Different PR sequence types were found within the same SAR86 rRNA subgroup.
    • PR type distribution did not consistently align with rRNA-based phylogenetic relationships.
    • A potential pathway for retinal biosynthesis, the PR chromophore, was identified.
    • BAC clones proved valuable for interpreting fragmented environmental shotgun data.

    Conclusions:

    • PR diversity within bacterial taxa can exceed that of conserved genes like rRNA.
    • Genomic context provides insights into PR function and evolution.
    • BAC-based analysis offers a robust method for understanding microbial community genomics from environmental samples.