In order to assist the design of short interfering ribonucleic acids （siRNA）, 573 non-redundant siRNAs were collected from published literatures and the relationship between siRNAs sequences and RNA interference （RNAi） effect is analyzed by a support vector machine （SVM） based algorithm relied on a basebase correlation （BBC） feature. The results show that the proposed algorithm has the highest area under curve （AUC） value （0. 73） of the receive operating characteristic （ROC） curve and the greatest r value （0. 43） of the Pearson＇s correlation coefficient. This indicates that the proposed algorithm is better than the published algorithms on the collected datasets and that more attention should be paid to the base-base correlation information in future siRNA design.
In this study, a comparative analysis of the codon usage bias was performed in Aeropyrum pernix K1 and two other phylogenetically related Crenarchaeota microorganisms （i.e., Pyrobaculum aerophilum str. IM2 and Sulfolobus acidocaldarius DSM 639）. The results indicated that the synonymous codon usage in A. pernix K1 was less biased, which was highly correlated with the GC3s value. The codon usage patterns were phylogenetically conserved among these Crenarchaeota microorganisms. Comparatively, it is the species function rather than the gene function that determines their gene codon usage patterns. A. pernix K1, P. aerophilum str. IM2, and S. acidocaldarius DSM 639 live in differently extreme conditions. It is presumed that the hving environment played an important role in determining the codon usage pattern of these microorganisms. Besides, there was no strain-specific codon usage among these microorganisms. The extent of codon bias in A. pernix K1 and S. acidocaldarius DSM 639 were highly correlated with the gene expression level, but no such association was detected in P. aerophilum str. IM2 genomes.
A comparative analysis of the codon usage bias was conducted in Methanosarcina mazei str. Goel and two related Euryarchaeota microorganisms （Picrophilus torridus str. DSM 9790 and Natronomonas pharaonis str. DSM 2160）. Results revealed that synonymous codon usage in Methanosarcina mazei str. Goel was less biased, which was highly correlated with the GC3S value. And the codon usage patterns were phylogenetically conserved among those Euryarchaeota microorganisms. By employing a hierarchical clustering analysis, it can be seen that it is more the species than the gene function that determines their gene codon usage pattems. Considering that those microorganisms live in different environments where the pH conditions vary quite a lot, it can be presumed that their living environments, especially the pH conditions, play an important role in determining those microorganisms＇ codon usage pattems.
