Abstract
In this chapter, we describe the comparison of gene numbers in different eukaryotic genomes. Unlike prokaryotes, eukaryotic genes are often split into exons (coding sequence segments) and introns (non-coding sequence segments). However, the number of exons and introns vary in different genes across diverse genome species. It is found that the intron number varies from 0 to $>$100 in different eukaryotic genes. This results in SEG (Single exon genes) and MEG (multi exon genes). Thus, SEG have 0 intron and MEG have at least one intron. Consequently, we compared the SEG and MEG fraction across different eukaryotic genomes. The comparison helped to discuss the evolutionary selection of SEG and MEG fraction in eukaryotic genomes.
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References
Benson, D.A., Karsch-Mizrachi, I., et al. (2000) GenBank. Nucleic Acids Res28(1), 15–8.
Brosius, J. (1999) Many G-protein-coupled receptors are encoded by retrogenes. Trends Genet15(8), 304–5.
Fink, G.R. (1987) Pseudogenes in yeast? Cell49(1), 5–6.
Harrison, P.M., Hegyi, H., et al. (2002) Molecular fossils in the human genome: identification and analysis of the pseudogenes in chromosomes 21 and 22. Genome Res12(2), 272–80.
Lander, E.S., Linton, L.M., et al. (2001) Initial sequencing and analysis of the human genome. Nature409(6822), 860–921.
Sakharkar, M., Long, M., et al. (2000) Exlnt: an Exon/Intron database. Nucleic Acids Res 28(1), 191–2.
Sakharkar, M.K. and Kangueane, P. (2004) Genome SEGE: a database for ’intronless’ genes in eukaryotic genomes. BMC Bioinformatics5, 67.
Sakharkar, M.K., Kangueane, P., et al. (2002) SEGE: A database on ’intron less/single exonic’ genes from eukaryotes. Bioinformatics18(9), 1266–7.
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Sakharkar, M.K., Kangueane, P. (2009). Bioinformatics Application: Eukaryotic Gene Count and Evolution. In: Mathura, V.S., Kangueane, P. (eds) Bioinformatics: A Concept-Based Introduction. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-84870-9_12
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DOI: https://doi.org/10.1007/978-0-387-84870-9_12
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-84869-3
Online ISBN: 978-0-387-84870-9
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