Author:
Pasamontes Alberto,Garcia-Vallve Santiago
Abstract
Abstract
Background
Amino acids in proteins are not used equally. Some of the differences in the amino acid composition of proteins are between species (mainly due to nucleotide composition and lifestyle) and some are between proteins from the same species (related to protein function, expression or subcellular localization, for example). As several factors contribute to the different amino acid usage in proteins, it is difficult both to analyze these differences and to separate the contributions made by each factor.
Results
Using a multi-way method called Tucker3, we have analyzed the amino composition of a set of 64 orthologous groups of proteins present in 62 archaea and bacteria. This dataset corresponds to essential proteins such as ribosomal proteins, tRNA synthetases and translational initiation or elongation factors, which are common to all the species analyzed. The Tucker3 model can be used to study the amino acid variability within and between species by taking into consideration the tridimensionality of the data set. We found that the main factor behind the amino acid composition of proteins is independent of the organism or protein function analyzed. This factor must be related to the biochemical characteristics of each amino acid. The difference between the non-ribosomal proteins and the ribosomal proteins (which are rich in arginine and lysine) is the main factor behind the differences in amino acid composition within species, while G+C content and optimal growth temperature are the main factors behind the differences in amino acid usage between species.
Conclusion
We show that a multi-way method is useful for comparing the amino acid composition of several groups of orthologous proteins from the same group of species. This kind of dataset is extremely useful for detecting differences between and within species.
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology
Reference44 articles.
1. Rispe C, Delmotte F, van Ham RCHJ, Moya A: Mutational and selective pressures on codon and amino acid usage in Buchnera , endosymbiotic bacteria of aphids. Genome Res 2004, 14: 44–53. 10.1101/gr.1358104
2. Mackiewicz P, Gierlik A, Kowalczuk M, Dudek MR, Cebrat S: How does replication-associated mutational pressure influence amino acid composition of proteins? Genome Res 1999, 9: 409–416.
3. Rocha EPC, Danchin A, Viari A: Universal replication biases in bacteria. Mol Microbiol 1999, 32: 11–16. 10.1046/j.1365-2958.1999.01334.x
4. Krogh A, Larsson B, von Heijne G, Sonnhammer ELL: Predicting transmembrane protein topology with a hidden markov model: application to complete genomes. J Mol Biol 2001, 305: 567–580. 10.1006/jmbi.2000.4315
5. Fujiwara Y, Asogawa M: Prediction of subcellular localizations using amino acid composition and order. Genome Informatics 2001, 12: 103–112.
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