Phylogenetic analysis reveals the surprising diversity of an oxygenase class
| Autor: | Lindsay D. Eltis, Jenna K. Capyk |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Genetics
Phylogenetic tree Bacteria Protein domain Molecular Sequence Data Genetic Variation Sequence alignment Computational biology Biology Biochemistry Enzyme structure Protein Structure Tertiary Inorganic Chemistry Bacterial Proteins Phylogenetics Oxygenases Identification (biology) Taxonomic rank Amino Acid Sequence Sequence Alignment Phylogeny Sequence (medicine) |
| Zdroj: | Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry. 17(3) |
| ISSN: | 1432-1327 |
| Popis: | As metalloenzymes capable of transforming a broad range of substrates with high stereo- and regio-specificity, the multicomponent Rieske oxygenases (ROs) have been studied in bacterial systems for applications in bioremediation and industrial biocatalysis. These studies include genetic and biochemical investigations, determination of enzyme structure, phylogenetic analysis, and enzyme classification. Although RO terminal oxygenase components (RO-Os) share a conserved domain structure, their sequences are highly divergent and present significant challenges for identification and classification. Herein, we present the first global phylogenetic analysis of a broad range of RO-Os from diverse taxonomic groups. We employed objective, structure-based criteria to significantly reduce the inclusion of erroneously aligned sequences in the analysis. Our findings reveal that RO biochemical studies to date have been largely concentrated in an unexpectedly narrow portion of the RO-O sequence landscape. Additionally, our analysis demonstrates the existence two distinct groups of RO-O sequences. Finally, the sequence diversity recognized in this study necessitates a new RO-O classification scheme. We therefore propose a P450-like naming system. Our results reveal a diversity of sequence and potential catalytic functionality that has been wholly unappreciated in the RO literature. This study also demonstrates that many commonly used bioinformatic tools may not be sufficient to analyze the vast amount of data available in current databases. These findings facilitate the expanded exploration of RO catalytic capabilities in both biological and technological contexts and increase the potential for practical exploitation of their activities. |
| Databáze: | OpenAIRE |
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