HLA class I nucleotide sequences, 1992

The HLA class I sequences included in this compilation are taken from publications listed in the papers: Nomenclature for factors of the HLA system, 1991 (Bodmer et al. 1992); Nomenclature for factors of the HLA system, 1990 (Bodmer et al. 1991); and Nomenclature for factors of the HLA system, 1989 (Bodmer et al. 1990). Due to the increased number of sequences we have only included sequences for exons 2, 3, and 4 in this compilation. Where discrepancies have arisen between reported sequences, the original authors have been contacted where possible, and necessary amendments to published sequences have been incorporated into this alignment. Future sequencing may identify errors in this list and we would welcome any evidence that helps to maintain the accuracy of this compilation. In the sequence alignments, identify between nucleotides is indicated by a hyphen (-). An unavailable sequence is indicated by a period (.). Gaps in the sequence are inserted to maintain the alignment between different alleles showing variation in amino acid number. *** DIRECT SUPPORT *** A4903038 00002     

HLA class I nucleotide sequences, 1991

The HLA class I sequences included in this compilation are taken from publications listed in the accompanying paper, Nomenclature for factors of the HLA system, 1990 (Bodmer et al. 1991) and Nomeclature for factors of the HLA system, 1989 (Bodmer et al. 1990). Where discrepancies have arisen between reported sequences the original authors have been contavted where possible, and necessary amendments to published sequences have been incorporated into this alignment. Future sequencing may identify errors in this list and we would welcome any evidence that helps to maintain the accuracy of this compilation. In the sequence alignments identify between residues is indicated by a hyphen (-). Unavailable sequence is indicated by a period (.). Gaps in the sequence are inserted to maintain the alignment between different alleles showing variation in amino acid number.     

HLA class II nucleotide sequences, 1992

The HLA class II sequences included in this compilation are taken from publications listed in the papers: Nomenclature for factors of the HLA system, 1989, Nomenclature for factors of the HLA system, 1990, and Nomenclature for factors of the HLA system, 1991 (WHO Nomenclature Committee 1990, 1991, 1992). Where discrepancies have arisen between reported sequences, the original authors have been contacted where possible, and necessary amendments to published sequences have been incorporated into this alignment. Future sequencing may identify errors in this list, and we would welcome any evidence that helps to maintain the accuracy of this compilation. In the sequence alignments, identity between residues is indicated by a hyphen (-), an unavailable sequence is indicated by an asterisk (*), and gaps in the sequence are inserted to maintain the alignment between different alleles showing variation in amino acid number. Correspondence to: S. G. E. Marsh.     

HLA class II nucleotide sequences, 1991

The HLA class II sequences included in this compilation are taken from publications listed in the accompanying paper, Nomenclature for factors of the HLA system, 1990 (Bodmer et al. 1991) and Nomenclature for factors of the HLA system, 1989 (Bodmer et al. 1990). Where discrepancies have arisen between reported sequences the original authors have been contacted where possible, and necessary amendments to published sequences have been incorporated into this alignment. Future sequencing may identify errors in this list and we would welcome any evidence that helps to maintain the accuracy of this compilation. In the sequence alignments identity between residues is indicated by a hyphen (-). Unavailable sequence is indicated by an asterisk (*). Gaps in the sequence are inserted to maintain the alignment between different alleles showing variation in amino acid number.     

Similarity among nucleotide sequences

In this work we report a simple way to measure the similarity between two nucleotide sequences by using graph theory and information theory. This method reported allows for theoretical comparisons of naturally occurring nucleotide sequences.     

Analysing recombination in nucleotide sequences

Throughout the living world, genetic recombination and nucleotide substitution are the primary processes that create the genetic variation upon which natural selection acts. Just as analyses of substitution patterns can reveal a great deal about evolution, so too can analyses of recombination. Evidence of genetic recombination within the genomes of apparently asexual species can equate with evidence of cryptic sexuality. In sexually reproducing species, nonrandom patterns of sequence exchange can provide direct evidence of population subdivisions that prevent certain individuals from mating. Although an interesting topic in its own right, an important reason for analysing recombination is to account for its potentially disruptive influences on various phylogenetic-based molecular evolution analyses. Specifically, the evolutionary histories of recombinant sequences cannot be accurately described by standard bifurcating phylogenetic trees. Taking recombination into account can therefore be pivotal to the success of selection, molecular clock and various other analyses that require adequate modelling of shared ancestry and draw increased power from accurately inferred phylogenetic trees. Here, we review various computational approaches to studying recombination and provide guidelines both on how to gain insights into this important evolutionary process and on how it can be properly accounted for during molecular evolution studies.     

Compression of annotated nucleotide sequences

This article introduces an algorithm for the lossless compression of DNA files, which contain annotation text besides the nucleotide sequence. First a grammar is specifically designed to capture the regularities of the annotation text. A revertible transformation uses the grammar rules in order to equivalently represent the original file as a collection of parsed segments and a sequence of decisions made by the grammar parser. This decomposition enables the efficient use of state-of-the-art encoders for processing the parsed segments. The output size of the decision-making process of the grammar is optimized by extending the states to account for high-order Markovian dependencies. The practical implementation of the algorithm achieves a significant improvement when compared to the general-purpose methods currently used for DNA files.     

Spectral analysis of nucleotide sequences

The data of Fourier-analysis of nucleotide sequences are discussed. The existence of reflexes corresponding to regular position of nucleotides (mainly T and G) with 3-base period is the most striking feature of both phage and viral nucleic acid sequences spectra. The amplitude and phase of the similar reflexes in the dinucleotide spectra obtained by digital computing of Fourier-transform, give specific information on amino acid composition, codon bias, amino acid relations. The width of frequency band characterizes a tendency to nucleotide clustering or to separate existence. The blurring of reflexes shows the disturbance of far order in the regular nucleotide "lattice". The two-dimensional spectral analysis supports the existence of far correlation in nucleotide positions.     

Phase-dependent nucleotide substitution in protein-coding sequences

It is well known that due to the degeneracy of genetic code, most of the silent substitutions appear in the third codon position, so the mutation frequency of the third codon position is much higher than that of the first two positions. However, it remains unknown whether the directionality of point mutation in three codon positions is similar or not. In this paper, through analyzing 15 sets of orthologous genes, it is revealed that most of the substitution types are significantly different between any two codon positions, especially between the 2nd and the 3rd phases. Furthermore, the average frequencies of each type of substitution calculated from the fifteen sets of orthologous genes are similar to those identified in single nucleotide polymorphisms (SNPs) of human and mouse genome. The present analyses suggest that the nucleotide substitution in protein-coding sequences is not only context-dependent (so called neighboring-nucleotide effects), but also phase-dependent, which is of significance to improving the prevalent nucleotide-evolution models.     

Strong adenine clustering in nucleotide sequences

We analyze the known long natural nucleotide sequences, looking for possible homonucleotide clustering. We find strong evidence for adenine clustering starting at the A₃ level. Single, isolated As and to a lesser extent AAs occur less frequently than expected from the base composition of the given sequence alone. A₃, A₄ and higher A—runs occur much more frequently than. expected. The effect is quite universal and occurs with equal strength in prokaryotes and eukaryotes.Analogues thymine clustering is observed in a single genome only. Cytosines and/or guanines mildly display the reverse trend.     

A model for nucleotide sequences.

We propose a model for generating "artificial" nucleotide sequences and, by the method of mapping those sequences onto a "DNA-walk," we analyze the presence of correlation between nucleotides. Artificial sequences are constructed considering, basically, interactions between first neighbors and between more distant units. We show that long-range correlations may be favored by the occurrence of intrastrand interactions, which give a nonlinear characteristic to the sequence.     

Statistical analysis of nucleotide sequences.

In order to scan nucleic acid databases for potentially relevant but as yet unknown signals, we have developed an improved statistical model for pattern analysis of nucleic acid sequences by modifying previous methods based on Markov chains. We demonstrate the importance of selecting the appropriate parameters in order for the method to function at all. The model allows the simultaneous analysis of several short sequences with unequal base frequencies and Markov order k not equal to 0 as is usually the case in databases. As a test of these modifications, we show that in E. coli sequences there is a bias against palindromic hexamers which correspond to known restriction enzyme recognition sites.     

Detecting recombination in evolving nucleotide sequences

Background  

Genetic recombination can produce heterogeneous phylogenetic histories within a set of homologous genes. These recombination events can be obscured by subsequent residue substitutions, which consequently complicate their detection. While there are many algorithms for the identification of recombination events, little is known about the effects of subsequent substitutions on the accuracy of available recombination-detection approaches.     

The multiple codes of nucleotide sequences

Nucleotide sequences carry genetic information of many different kinds, not just instructions for protein synthesis (triplet code). Several codes of nucleotide sequences are discussed including: (1) the translation framing code, responsible for correct triplet counting by the ribosome during protein synthesis; (2) the chromatin code, which provides instructions on appropriate placement of nucleosomes along the DNA molecules and their spatial arrangement; (3) a putative loop code for single-stranded RNA-protein interactions. The codes are degenerate and corresponding messages are not only interspersed but actually overlap, so that some nucleotides belong to several messages simultaneously. Tandemly repeated sequences frequently considered as functionless “junk” are found to be grouped into certain classes of repeat unit lengths. This indicates some functional involvement of these sequences. A hypothesis is formulated according to which the tandem repeats are given the role of weak enhancer-silencers that modulate, in a copy number-dependent way, the expression of proximal genes. Fast amplification and elimination of the repeats provides an attractive mechanism of species adaptation to a rapidly changing environment.     

Matching nucleotide sequences of human antibodies with other known sequences

From an evolutionary point of view, the complementarity-determining regions of antibodies are distinct from other proteins including the framework regions of antibodies. A search for identical nucleotide sequences of eighty-four 15 consecutive bp in the complementary-determining regions of human antibody heavy chains with other known sequences yielded four matches: two sequential 15-bp matches, or one 16-bp match, with the coding region of a sea-urchin testis histone H2b-2, one 15-bp match with the promotor region of a cauliflower mosaic virus inclusion body protein, and a 15-bp match with an intron between exons 1 and 2 of human factor IX. As a control, an identical search of eighty-four 15 consecutive bp in the framework regions of human antibody heavy chains yielded no matches with other sequences except those from other antibody framework regions. Since the currently available nucleotide sequence database used in the search consisted of about 1 x 10(7) bp, finding such matches in the complementarity-determining regions might not be random.