Multiple amino acid substitutions allow DNA polymerases to synthesize RNA

DNA and RNA polymerase exhibit similarities in structures and catalytic mechanisms, suggesting that both classes of enzymes are evolutionarily related. To probe the biochemical and structure-function relationship between the two classes of polymerases, a large library (200,000 members) of mutant Thermus aquaticus DNA polymerase I (Taq pol I) was created containing random substitutions within a portion of the dNTP binding site (motif A; amino acids 605-617), and a fraction of all selected active Taq pol I (291 of 8000) was tested for the ability to incorporate successive ribonucleotides; 23 unique mutants that added rNTPs into a growing polynucleotide chain were identified and sequenced. These mutants, each containing one to four substitutions, incorporate ribonucleotides at a efficiency approaching 10(3)-fold greater than that of wild type Taq pol I. Several mutants added successive ribonucleotides and thus can catalyze the synthesis of RNA. Sequence analysis of these mutants demonstrates that at least two amino acid residues are involved in excluding ribonucleotides from the active site. Interestingly, wild type DNA polymerases from several distinct families selectively discriminate against rUTP. This study suggests that current DNA and RNA polymerases could have evolved by divergent evolution from an ancestor that shared a common mechanism for polynucleotide synthesis.     

Interrelatedness of 5S RNA sequences investigated by correspondence analysis

Summary Correspondence analysis (a form of multivariate statistics) applied to 74 5S ribosomal RNA sequences indicates that the sequences are interrelated in a systematic, nonrandom fashion. Aligned sequences are represented as vectors in a 5N-dimensional space, where N is the number of base positions in the 5S RNA molecule. Mutually orthogonal directions (called factor axes) along which intersequence variance is greatest are defined in this hyperspace. Projection of the sequences onto planes defined by these factorial directions reveals clustering of species that is suggestive of phylogenetic relationships. For each factorial direction, correspondence analysis points to regions of importance, i.e., those base positions at which the systematic changes occur that define that particular direction. In effect, the technique provides a rapid determination of group-specific signatures. In several instances, similarities between sequences are indicated that have only recently been inferred from visual base-to-base comparisons. These results suggest that correspondence analysis may provide a valuable starting point from which to uncover the patterns of change underlying the evolution of a macromolecule, such as 5S RNA.     

Normalization of single-channel DNA array data by principal component analysis

MOTIVATION: Detailed comparison and analysis of the output of DNA gene expression arrays from multiple samples require global normalization of the measured individual gene intensities from the different hybridizations. This is needed for accounting for variations in array preparation and sample hybridization conditions. RESULTS: Here, we present a simple, robust and accurate procedure for the global normalization of datasets generated with single-channel DNA arrays based on principal component analysis. The procedure makes minimal assumptions about the data and performs well in cases where other standard procedures produced biased estimates. It is also insensitive to data transformation, filtering (thresholding) and pre-screening.     

Phosphorothioate primers improve the amplification of DNA sequences by DNA polymerases with proofreading activity.

Two thermostable DNA polymerases with proofreading activity--Vent DNA polymerase and Pfu DNA polymerase--have attracted recent attention, mainly because of their enhanced fidelities during amplification of DNA sequences by the polymerase chain reaction. A severe disadvantage for their practical application, however, results from the observation that due to their 3' to 5' exonuclease activities these enzymes degrade the oligodeoxynucleotides serving as primers for the DNA synthesis. It is demonstrated that this exonucleolytic attack on the primer molecules can be efficiently prevented by the introduction of single phosphorothioate bonds at their 3' termini. This strategy, which can be easily accomplished using routine DNA synthesis methodology, may open the way to a widespread use of these novel enzymes in the polymerase chain reaction.     

Transcription of 70S RNA by DNA polymerases from mammalian RNA viruses.

DNA polymerases purified by the same procedure from four mammalian RNA viruses, simian sarcoma virus type 1, gibbon ape lymphoma virus, Mason-Pfizer monkey virus, and Rauscher murine leukemia virus are capable of transcribing heteropolymeric regions of viral 70S RNA without any other primer. In this reconstituted system the enzymes from simian sarcoma virus type 1, Mason-Pfizer monkey virus, and Rauscher murine leukemia virus transcribe viral 70S RNA almost as efficiently as the DNA polymerase from the avian myeloblastosis virus, but gibbon ape lymphoma virus DNA polymerase is approximately three-to fivefold less efficient. Although there is a substantial difference among the sizes of these DNA polymerases (160,000 daltons for the avian myeloblastosis virus enzyme, 110,000 daltons for the Mason-Pfizer monkey virus enzyme, and 70,000 daltons for the mammalian type C viral polymerases), the ability to transcribe viral 70S RNA is a characteristic common to these enzymes.     

Computer-aided detection and alignment of weakly homologous amino acid sequences of RNA replicase beta (MS2 phage) and DNA polymerases (T7 phage and E. coli)

Alignment of the amino acid (aa) sequences of T7 phage DNA polymerase (DPase), E. coli DNA polymerase I (Pol I) and MS2 phage RNA replicase beta subunit (MS2 Repl) were established by computer-aided methods. The results showed that the entire length (aa's 16-704) of T7 DPase is homologous to Pol I aa's 207-928(C-term) with 21.5% aa identity, and that domains I (aa's-1-311) and II (312-451(C-term] were found to be homologous to each other and to N-terminal region of T7 DPase (aa's 1-250). Thus these enzymes and domains are homologous to one another and must have evolved from a co-ancestral enzyme.     

Prediction of protein structural classes by Chou's pseudo amino acid composition: approached using continuous wavelet transform and principal component analysis

A prior knowledge of protein structural classes can provide useful information about its overall structure, so it is very important for quick and accurate determination of protein structural class with computation method in protein science. One of the key for computation method is accurate protein sample representation. Here, based on the concept of Chou’s pseudo-amino acid composition (AAC, Chou, Proteins: structure, function, and genetics, 43:246–255, 2001), a novel method of feature extraction that combined continuous wavelet transform (CWT) with principal component analysis (PCA) was introduced for the prediction of protein structural classes. Firstly, the digital signal was obtained by mapping each amino acid according to various physicochemical properties. Secondly, CWT was utilized to extract new feature vector based on wavelet power spectrum (WPS), which contains more abundant information of sequence order in frequency domain and time domain, and PCA was then used to reorganize the feature vector to decrease information redundancy and computational complexity. Finally, a pseudo-amino acid composition feature vector was further formed to represent primary sequence by coupling AAC vector with a set of new feature vector of WPS in an orthogonal space by PCA. As a showcase, the rigorous jackknife cross-validation test was performed on the working datasets. The results indicated that prediction quality has been improved, and the current approach of protein representation may serve as a useful complementary vehicle in classifying other attributes of proteins, such as enzyme family class, subcellular localization, membrane protein types and protein secondary structure, etc.     

Assignment of enzyme substrate specificity by principal component analysis of aligned protein sequences: an experimental test using DNA glycosylase homologs

We have studied the relationship between amino acid sequence and substrate specificity in a DNA glycosylase family by characterizing experimentally the specificity of four new members of the family. We show that principal component analysis (PCA) of the sequence family correctly predicts the substrate specificity of one of the novel homologs even though conventional sequence analysis methods fail to group this homolog with other sequences of the same specificity. PCA also suggested, correctly, that another homolog characterized previously differs in its specificity from those sequences with which it clusters by conventional criteria. These results suggest that principal component analysis of sequence families can be a useful tool in annotating genome sequences when there is ambiguity concerning which subfamily a new homolog belongs to. Published 2000 Wiley-Liss, Inc.     

Predicting thermophilic proteins with pseudo amino acid composition:approached from chaos game representation and principal component analysis

Comprehensive knowledge of thermophilic mechanisms about some organisms whose optimum growth temperature (OGT) ranges from 50 to 80 °C degree plays a major role for helping to design stable proteins. How to predict function-unknown proteins to be thermophilic is a long but not fairly resolved problem. Chaos game representation (CGR) can investigate hidden patterns in protein sequences, and also can visually reveal their previously unknown structures. In this paper, using the general form of pseudo amino acid composition to represent protein samples, we proposed a novel method for presenting protein sequence to a CGR picture using CGR algorithm. A 24-dimensional vector extracted from these CGR segments and the first two PCA features are used to classify thermophilic and mesophilic proteins by Support Vector Machine (SVM). Our method is evaluated by the jackknife test. For the 24-dimensional vector, the accuracy is 0.8792 and Matthews Correlation Coefficient (MCC) is 0.7587. The 26-dimensional vector by hybridizing with PCA components performs highly satisfaction, in which the accuracy achieves 0.9944 and MCC achieves 0.9888. The results show the effectiveness of the new hybrid method.     

Markov analysis of viral DNA/RNA sequences

This work applies a previously published method for determining the order of a Markov chain to the DNA/RNA sequences of φX174, SV40 and MS2. In the first two cases rather long-range order is found—third and second order respectively—but zero order is the appropriate model for MS2. These results point to some inadequacies in previous informational calculations on virus genomes and lead to insights on features such as gene overlap and secondary structure.