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Publication : A cautionary note for retrocopy identification: DNA-based duplication of intron-containing genes significantly contributes to the origination of single exon genes.

First Author  Zhang Yong E Year  2011
Journal  Bioinformatics Volume  27
Pages  1749-53 PubMed ID  21551137
Abstract Text  Retrocopies are important genes in the genomes of almost all higher eukaryotes. However, the annotation of such genes is a non-trivial task. Intronless genes have often been considered to be retroposed copies of intron-containing paralogs. Such categorization relies on the implicit premise that alignable regions of the duplicates should be long enough to cover exon-exon junctions of the intron-containing genes, and thus intron loss events can be inferred. Here, we examined the alternative possibility that intronless genes could be generated by partial DNA-based duplication of intron-containing genes in the fruitfly genome. By building pairwise protein-, transcript- and genome-level DNA alignments between intronless genes and their corresponding intron-containing paralogs, we found that alignments do not cover exon-exon junctions in 40% of cases and thus no intron loss could be inferred. For these cases, the candidate parental proteins tend to be partially duplicated, and intergenic sequences or neighboring genes are included in the intronless paralog. Moreover, we observed that it is significantly less likely for these paralogs to show inter-chromosomal duplication and testis-dominant transcription, compared to the remaining 60% of cases with evidence of clear intron loss (retrogenes). These lines of analysis reveal that DNA-based duplication contributes significantly to the 40% of cases of single exon gene duplication. Finally, we performed an analogous survey in the human genome and the result is similar, wherein 34% of the cases do not cover exon-exon junctions. Thus, genome annotation for retrogene identification should discard candidates without clear evidence of intron loss. mlong@uchicago.edu; zhangy@uchicago.edu Doi  10.1093/bioinformatics/btr280
Issue  13 Month  Jul

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