Partitioning of aminoacyl-tRNA synthetases and their associated amino acids into two classes allows us to distinguish between thermophilic and mesophilic species based only on amino acids composition. The CLASSDB program has been developed for amino acid content analysis in organisms treated individually or pooled together to form a pattern of characteristic properties. A strong correlation has been observed between optimal growth temperature (OGT) of organisms and class II amino acids content. Amino acid composition in organisms closely related phylogenetically but dissimilar in their OGT testifies that thermo-adaptation happens rather rapidly on the time scale of evolution.

10.1073/pnas.96.7.3578

A number of recent studies have shown that thermophilic prokaryotes have distinguishable patterns of both synonymous codon usage and amino acid composition, indicating the action of natural selection related to thermophily. On the other hand, several other studies of whole genomes have illustrated that nucleotide bias can have dramatic effects on synonymous codon usage and also on the amino acid composition of the encoded proteins. This raises the possibility that the thermophile-specific patterns observed at both the codon and protein levels are merely reflections of a single underlying effect at the level of nucleotide composition. Moreover, such an effect at the nucleotide level might be due entirely to mutational bias. In this study, we have compared the genomes of thermophiles and mesophiles at three levels: nucleotide content, codon usage and amino acid composition. Our results indicate that the genomes of thermophiles are distinguishable from mesophiles at all three levels and that the codon and amino acid frequency differences cannot be explained simply by the patterns of nucleotide composition. At the nucleotide level, we see a consistent tendency for the frequency of adenine to increase at all codon positions within the thermophiles. Thermophiles are also distinguished by their pattern of synonymous codon usage for several amino acids, particularly arginine and isoleucine. At the protein level, the most dramatic effect is a two-fold decrease in the frequency of glutamine residues among thermophiles. These results indicate that adaptation to growth at high temperature requires a coordinated set of evolutionary changes affecting (i) mRNA thermostability, (ii) stability of codon–anticodon interactions and (iii) increased thermostability of the protein products. We conclude that elevated growth temperature imposes selective constraints at all three molecular levels: nucleotide content, codon usage and amino acid composition. In addition to these multiple selective effects, however, the genomes of both thermophiles and mesophiles are often subject to superimposed large changes in composition due to mutational bias.

By far the largest proportion of the Earth?s biosphere is comprised of organisms that thrive in cold environments (psychrophiles). Their ability to proliferate in the cold is predicated on a capacity to synthesize cold-adapted enzymes. These enzymes have evolved a range of structural features that confer a high level of flexibility compared to thermostable homologs. High flexibility, particularly around the active site, is translated into low-activation enthalpy, low-substrate affinity, and high specific activity at low temperatures. High flexibility is also accompanied by a trade-off in stability, resulting in heat lability and, in the few cases studied, cold lability. This review addresses the structure, function, and stability of cold-adapted enzymes, highlighting the challenges for immediate and future consideration. Because of the unique properties of cold-adapted enzymes, they are not only an important focus in extremophile biology, but also represent a valuable model for fundamental research into protein folding and catalysis.