Literature DB >> 8682215

Genomes with distinct function composition.

J Tamames1, C Ouzounis, C Sander, A Valencia.   

Abstract

The functional composition of organisms can be analysed for the first time with the appearance of complete or sizeable parts of various genomes. We have reduced the problem of protein function classification to a simple scheme with three classes of protein function: energy-, information- and communication-associated proteins. Finer classification schemes can be easily mapped to the above three classes. To deal with the vast amount of information, a system for automatic function classification using database annotations has been developed. The system is able to classify correctly about 80% of the query sequences with annotations. Using this system, we can analyse samples from the genomes of the most represented species in sequence databases and compare their genomic composition. The similarities and differences for different taxonomic groups are strikingly intuitive. Viruses have the highest proportion of proteins involved in the control and expression of genetic information. Bacteria have the highest proportion of their genes dedicated to the production of proteins associated with small molecule transformations and transport. Animals have a very large proportion of proteins associated with intra- and intercellular communication and other regulatory processes. In general, the proportion of communication-related proteins increases during evolution, indicating trends that led to the emergence of the eukaryotic cell and later the transition from unicellular to multicellular organisms.

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Year:  1996        PMID: 8682215     DOI: 10.1016/0014-5793(96)00527-3

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  5 in total

1.  Comparing function and structure between entire proteomes.

Authors:  J Liu; B Rost
Journal:  Protein Sci       Date:  2001-10       Impact factor: 6.725

2.  Conserved clusters of functionally related genes in two bacterial genomes.

Authors:  J Tamames; G Casari; C Ouzounis; A Valencia
Journal:  J Mol Evol       Date:  1997-01       Impact factor: 2.395

3.  Expression of stress-response and cell proliferation genes in renal cell carcinoma induced by oxidative stress.

Authors:  T Tanaka; S Kondo; Y Iwasa; H Hiai; S Toyokuni
Journal:  Am J Pathol       Date:  2000-06       Impact factor: 4.307

4.  Identification of the SAAT gene involved in strawberry flavor biogenesis by use of DNA microarrays.

Authors:  A Aharoni; L C Keizer; H J Bouwmeester; Z Sun; M Alvarez-Huerta; H A Verhoeven; J Blaas; A M van Houwelingen; R C De Vos; H van der Voet; R C Jansen; M Guis; J Mol; R W Davis; M Schena; A J van Tunen; A P O'Connell
Journal:  Plant Cell       Date:  2000-05       Impact factor: 11.277

5.  Microarray analysis of orthologous genes: conservation of the translational machinery across species at the sequence and expression level.

Authors:  Jose L Jiménez; Michael P Mitchell; John G Sgouros
Journal:  Genome Biol       Date:  2002-12-31       Impact factor: 13.583

  5 in total

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