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Comparative Genomic Analysis Reveals a Novel Mitochondrial Isoform of Human RTS Protein and Unusual Phylogenetic Distribution of the RTS Gene

Overview
Journal BMC Genomics
Publisher Biomed Central
Specialty Genetics
Date 2005 Sep 16
PMID 16162288
Citations 3
Authors
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Abstract

Background: The rTS gene (ENOSF1), first identified in Homo sapiens as a gene complementary to the thymidylate synthase (TYMS) mRNA, is known to encode two protein isoforms, rTSalpha and rTSbeta. The rTSbeta isoform appears to be an enzyme responsible for the synthesis of signaling molecules involved in the down-regulation of thymidylate synthase, but the exact cellular functions of rTS genes are largely unknown.

Results: Through comparative genomic sequence analysis, we predicted the existence of a novel protein isoform, rTS, which has a 27 residue longer N-terminus by virtue of utilizing an alternative start codon located upstream of the start codon in rTSbeta. We observed that a similar extended N-terminus could be predicted in all rTS genes for which genomic sequences are available and the extended regions are conserved from bacteria to human. Therefore, we reasoned that the protein with the extended N-terminus might represent an ancestral form of the rTS protein. Sequence analysis strongly predicts a mitochondrial signal sequence in the extended N-terminal of human rTSgamma, which is absent in rTSbeta. We confirmed the existence of rTS in human mitochondria experimentally by demonstrating the presence of both rTSgamma and rTSbeta proteins in mitochondria isolated by subcellular fractionation. In addition, our comprehensive analysis of rTS orthologous sequences reveals an unusual phylogenetic distribution of this gene, which suggests the occurrence of one or more horizontal gene transfer events.

Conclusion: The presence of two rTS isoforms in mitochondria suggests that the rTS signaling pathway may be active within mitochondria. Our report also presents an example of identifying novel protein isoforms and for improving gene annotation through comparative genomic analysis.

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