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Genomes with distinct function composition
Author(s) -
Tamames Javier,
Ouzounis Christos,
Sander Chris,
Valencia Alfonso
Publication year - 1996
Publication title -
febs letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.593
H-Index - 257
eISSN - 1873-3468
pISSN - 0014-5793
DOI - 10.1016/0014-5793(96)00527-3
Subject(s) - genome , multicellular organism , function (biology) , biology , computational biology , composition (language) , gene , bacterial genome size , genetics , evolutionary biology , linguistics , philosophy
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 DAal with the vast amount of information, a system for automatic function classification using database annotations has been DAveloped. 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 DAdicated 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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