Amino Acid Repeats Cause Extraordinary Coding Sequence Variation in the Social Amoeba Dictyostelium discoideum

Protein sequences are normally the most conserved elements of genomes owing to purifying selection to maintain their functions. We document an extraordinary amount of within-species protein sequence variation in the model eukaryote Dictyostelium discoideum stemming from triplet DNA repeats coding for long strings of single amino acids. D. discoideum has a very large number of such strings, many of which are polyglutamine repeats, the same sequence that causes various human neurological disorders in humans, like Huntington’s disease. We show here that D. discoideum coding repeat loci are highly variable among individuals, making D. discoideum a candidate for the most variable proteome. The coding repeat loci are not significantly less variable than similar non-coding triplet repeats. This pattern is consistent with these amino-acid repeats being largely non-functional sequences evolving primarily by mutation and drift.     

Characteristics of nucleotide blocks in coding and non-coding DNA sequences from different organisms

A statistical analysis of occurrence of particular nucleotide runs (1 divided by 10 nucleotides long) in DNA sequences of different species has been carried out. There are considerable differences in run distributions in DNA sequences of prokaryotes, invertebrates and vertebrates. Distribution of various types of runs has been found to be different in coding and non-coding sequences. There is an abundance of short runs 1 divided by 2 nucleotides long in coding sequences, and there is a deficiency of such runs in the non-coding regions. However, some interesting exceptions from this rule exist: for run distribution of adenine in prokaryotes and for distribution of purine-pyrimidine runs in eukaryotes. This may be stipulated by the fact that the distribution of runs are predetermined by structural peculiarities of the entire DNA molecule. Runs of guanine or cytosine of three to six nucleotides long occur predominantly in the non-coding DNA regions in eukaryotes, especially in vertebrates.     

In silico analysis of the restriction fragments length distribution in the human genome.]

The Restriction On Computer (ROC) program (freely available at http://www.mcb.harvard.edu/gilbert/ROC) was developed and used to analyze the restriction fragment length distribution in the human genome. In contrast to other programs searching for restriction sites, ROC simultaneously analyzes several long nucleotide sequences, such as the entire genomes, and in essence simulates electrophoretic analysis of DNA restriction fragments. In addition, this program extracts and analyzes DNA repeats that account for peaks in the restriction fragment length distribution. The ROC analysis data are consistent with the experimental data obtained via in vitro restriction enzyme analysis (taxonomic printing). A difference between the in vitro and in silico results is explained by underrepresentation of tandem DNA repeats in genomic databases. The ROC analysis of individual genome fragments elucidated the nature of several DNA markers, which were earlier revealed by taxonomic printing, and showed that L1 and Alu repeats are nonrandomly distributed in various chromosomes. Another advantage is that the ROC procedure makes it possible to analyze the nonrandom character of a genomic distribution of short DNA sequences. The ROC analysis showed that a low poly(G) frequency is characteristic of the entire human genome, rather than of only coding sequences. The method was proposed for a more complex in silico analysis of the genome. For instance, it is possible to simulate DNA restriction together with blot hybridization and then to analyze the nature of markers revealed.     

In Silico Analysis of the Restriction Fragment Length Distribution in the Human Genome

The Restriction On Computer (ROC) program (freely available at http://www.mcb.harvard.edu/ gilbert/ROC) was developed and used to analyze the restriction fragment length distribution in the human genome. In contrast to other programs searching for restriction sites, ROC simultaneously analyzes several long nucleotide sequences, such as the entire genomes, and in essence simulates electrophoretic analysis of DNA restriction fragments. In addition, this program extracts and analyzes DNA repeats that account for peaks in the restriction fragment length distribution. The ROC analysis data are consistent with the experimental data obtained via in vitro restriction enzyme analysis (DNA taxonoprint). A difference between the in vitro and in silico results is explained by underrepresentation of tandem DNA repeats in genomic databases. The ROC analysis of individual genome fragments elucidated the nature of several DNA markers, which were earlier revealed by DNA taxonoprint, and showed that L1 and Alurepeats are nonrandomly distributed in various chromosomes. Another advantage is that the ROC procedure makes it possible to analyze the nonrandom character of a genomic distribution of short DNA sequences. The ROC analysis showed that a low poly(G) frequency is characteristic of the entire human genome, rather than of only coding sequences. The method was proposed for a more complex in silico analysis of the genome. For instance, it is possible to simulate DNA restriction together with blot hybridization and then to analyze the nature of markers revealed.     

Analysis of SSR dynamics in chloroplast genomes of Brassicaceae family

Simple sequence repeats (SSRs) are present abundantly in most eukaryotic genomes. They affect several cellular processes like chromatin organization, regulation of gene activity, DNA repair, DNA recombination, etc. Though considerable data exists on using nuclear SSRs to infer phylogenetic relationships, the potential of chloroplast microsatellites (cpSSR), in this regard, remains largely unexplored. In the present study we probe various nucleotide repeat motifs (NRMs) / types of SSRs present in chloroplast genomes (cpDNA) of 12 species belonging to Brassicaceae family. NRMs show a non-random distribution in coding and non-coding compartments of cpDNA. As expected, trinucleotide repeats are more common in coding regions while other repeat motifs are prominent in non-coding DNA. Total numbers of SSRs in coding region show little variation between species while considerable variation is exhibited by SSRs in non-coding regions. Finally, we have designed universal primers that yield polymorphic amplicons from all 12 species. Our analysis also suggests that amplicon length polymorphism shows no significant relationship with sequence based phylogeny of SSRs in cpDNA of Brassicaceae family.     

Comparison of simple sequence repeats in 19 Archaea

All organisms that have been studied until now have been found to have differential distribution of simple sequence repeats (SSRs), with more SSRs in intergenic than in coding sequences. SSR distribution was investigated in Archaea genomes where complete chromosome sequences of 19 Archaea were analyzed with the program SPUTNIK to find di- to penta-nucleotide repeats. The number of repeats was determined for the complete chromosome sequences and for the coding and non-coding sequences. Different from what has been found for other groups of organisms, there is an abundance of SSRs in coding regions of the genome of some Archaea. Dinucleotide repeats were rare and CG repeats were found in only two Archaea. In general, trinucleotide repeats are the most abundant SSR motifs; however, pentanucleotide repeats are abundant in some Archaea. Some of the tetranucleotide and pentanucleotide repeat motifs are organism specific. In general, repeats are short and CG-rich repeats are present in Archaea having a CG-rich genome. Among the 19 Archaea, SSR density was not correlated with genome size or with optimum growth temperature. Pentanucleotide density had an inverse correlation with the CG content of the genome.     

Identification of coding and non-coding sequences using local Holder exponent formalism

MOTIVATION: Accurate prediction of genes in genomes has always been a challenging task for bioinformaticians and computational biologists. The discovery of existence of distinct scaling relations in coding and non-coding sequences has led to new perspectives in the understanding of the DNA sequences. This has motivated us to exploit the differences in the local singularity distributions for characterization and classification of coding and non-coding sequences. RESULTS: The local singularity density distribution in the coding and non-coding sequences of four genomes was first estimated using the wavelet transform modulus maxima methodology. Support vector machines classifier was then trained with the extracted features. The trained classifier is able to provide an average test accuracy of 97.7%. The local singularity features in a DNA sequence can be exploited for successful identification of coding and non-coding sequences. CONTACT: Available on request from bd.kulkarni@ncl.res.in.     

An investigation of genomic base distribution

While veritable oceans of ink have been spilled over the base distributions within genes, the literature is virtually silent on large scale intra genomic base distribution. To address this issue, we have examined approximately 3400 chromosomal sequences from approximately 2000 entire genomes-including DNA and RNA, single- and double-stranded, coding and non-coding genomes. For each sequence the mean, variance, skewness, and kurtosis for each base were computed along with the genome base composition. The main findings are: (1) there is no simple relationship between these statistics and the base composition of the genome, (2) in non-viral genomes, base distribution is non-uniform, (3) base distribution in non-eukaryotic genomes obeys a number of simple rules, (4) these rules are not dependent on the presence of coding sequences, (5) bacterial genomes in particular are unusually compliant with these rules, and (6) eukaryotes have a unique pattern of base distribution.     

Genome wide survey of microsatellites in ssDNA viruses infecting vertebrates

Microsatellites or Simple Sequence Repeats (SSRs) are tandem iterations of one to six base pairs, non-randomly distributed throughout prokaryotic and eukaryotic genomes. Limited knowledge is available about distribution of microsatellites in single stranded DNA (ssDNA) viruses, particularly vertebrate infecting viruses. We studied microsatellite distribution in 118 ssDNA virus genomes belonging to three families of vertebrate infecting viruses namely Circoviridae, Parvoviridae, and Anelloviridae, and found that microsatellites constitute an important component of these virus genomes. Mononucleotide repeats were predominant followed by dinucleotide and trinucleotide repeats. A strong positive relationship existed between number of mononucleotide repeats and genome size among all the three virus families. A similar relationship existed for the occurrence of DTTPH (di-, tri-, tetra-, penta- and hexa-nucleotide) repeats in the families Anelloviridae and Parvoviridae only. Relative abundance and relative density of mononucleotide repeats showed a strong positive relationship with genome size in Circoviridae and Parvoviridae. However, in the case of DTTPH repeats, these features showed a strong relationship with genome size in Circoviridae only. On the other hand, relative microsatellite abundance and relative density of mononucleotide repeats were negatively correlated with GC content (%) in Parvoviridae genomes. On the basis of available annotations, our analysis revealed maximum occurrence of mononucleotide as well as DTTPH repeats in the coding regions of these virus genomes. Interestingly, after normalizing the length of the coding and non-coding regions of each virus genome, we found relative density of microsatellites much higher in the non-coding regions. We understand that the present study will help in the better characterization of the stability, genome organization and evolution of these virus classes and may provide useful leads to decipher the etiopathogenesis of these viruses.     

Identification of common,unique and polymorphic microsatellites among 73 cyanobacterial genomes

Microsatellites also known as Simple Sequence Repeats are short tandem repeats of 1–6 nucleotides. These repeats are found in coding as well as non-coding regions of both prokaryotic and eukaryotic genomes and play a significant role in the study of gene regulation, genetic mapping, DNA fingerprinting and evolutionary studies. The availability of 73 complete genome sequences of cyanobacteria enabled us to mine and statistically analyze microsatellites in these genomes. The cyanobacterial microsatellites identified through bioinformatics analysis were stored in a user-friendly database named CyanoSat, which is an efficient data representation and query system designed using ASP.net. The information in CyanoSat comprises of perfect, imperfect and compound microsatellites found in coding, non-coding and coding-non-coding regions. Moreover, it contains PCR primers with 200 nucleotides long flanking region. The mined cyanobacterial microsatellites can be freely accessed at www.compubio.in/CyanoSat/home.aspx. In addition to this 82 polymorphic, 13,866 unique and 2390 common microsatellites were also detected. These microsatellites will be useful in strain identification and genetic diversity studies of cyanobacteria.     

编码序列和非编码序列的3-tuple分布特征

非编码序列,特别是内含子的起源,是一个重要的悬而未决的问题。首先通过计算模式生物的编码序列和非编码序列的不同阅读框中3-tupie的频率分布,发现编码区中不同阅读框具有十分不同的3-tuple分布,而在非编码区中,不同阅读框的3-tuple分布几乎相等,并且这一性质不具有物种依赖性。为了描述分布差异的程度,引进夏量一对称相对熵,并通过比较原核生物和真核生物,发现无论是编码区还是非编码区,原核生物都具有比真核生物更高的SRE值。进一步研究表明,某一生物的SRE值与该生物全基因组中编码区所占的百分比存在一定的相关性（相关系数为0．86）。计算机模拟进化实验发现,2％的突变就足以使典型的嗯核生物编码区高SRE值变为真核生物内含子区特有的低SRE值。比对数据库中已经注释的内含子和编码区序列,证明确实有一部分与编码区具有很高同源性的内含子序列。实验表明,至少部分真核生物的内含子可能起源于编码序列,同时也说明SRE可能被用于研究物种基因组序列的进化。     

HomologMiner: looking for homologous genomic groups in whole genomes

MOTIVATION: Complex genomes contain numerous repeated sequences, and genomic duplication is believed to be a main evolutionary mechanism to obtain new functions. Several tools are available for de novo repeat sequence identification, and many approaches exist for clustering homologous protein sequences. We present an efficient new approach to identify and cluster homologous DNA sequences with high accuracy at the level of whole genomes, excluding low-complexity repeats, tandem repeats and annotated interspersed repeats. We also determine the boundaries of each group member so that it closely represents a biological unit, e.g. a complete gene, or a partial gene coding a protein domain. RESULTS: We developed a program called HomologMiner to identify homologous groups applicable to genome sequences that have been properly marked for low-complexity repeats and annotated interspersed repeats. We applied it to the whole genomes of human (hg17), macaque (rheMac2) and mouse (mm8). Groups obtained include gene families (e.g. olfactory receptor gene family, zinc finger families), unannotated interspersed repeats and additional homologous groups that resulted from recent segmental duplications. Our program incorporates several new methods: a new abstract definition of consistent duplicate units, a new criterion to remove moderately frequent tandem repeats, and new algorithmic techniques. We also provide preliminary analysis of the output on the three genomes mentioned above, and show several applications including identifying boundaries of tandem gene clusters and novel interspersed repeat families. AVAILABILITY: All programs and datasets are downloadable from www.bx.psu.edu/miller_lab.     

The sequence asymmetry of the Escherichia coli chromosome appears to be independent of strand or function and may be evolutionarily conserved.

I have examined potential determinants of the asymmetric distribution of nucleotide sequences in the genome of Escherichia coli as cataloged in GenBank release 44. I have used the frequency of occurrence of all possible tetranucleotides in a given sequence catalog or derivative as a comparative measure of asymmetry. The GenBank-cataloged strand and its complement show statistically similar (not complementary) distributions. The distribution is statistically similar in comparisons between the protein coding subset and the total genome, the coding subset and selected non-coding genes, the coding subset and the remainder of the DNA, and the coding subset and stable RNA sequences. I have compared the distribution in the genome of E. coli with the distributions found in the cataloged genomes of Salmonella typhimurium, Bacillus subtilis, and of coliphages lambda and T7. The distribution summed in both strands of the cataloged DNA differs statistically only in comparisons with lytic bacteriophage T7 because only the two strands of T7 show statistically dissimilar distributions. Despite similarities in tetranucleotide distribution, the pattern of codon complementarity in B. subtilis is different than that documented for E. coli. Thus, sequence asymmetry does not seem related to specific DNA function or to documented similarities or differences in codon bias. The sequence asymmetry of the E. coli genome may thus reflect a hitherto unsuspected pattern impressed on both strands of DNA which is or can be packaged into bacterial genomes.     

One-way sequencing of multiple amplicons from tandem repetitive mitochondrial DNA control region

Repetitive DNA sequences not only exist abundantly in eukaryotic nuclear genomes, but also occur as tandem repeats in many animal mitochondrial DNA (mtDNA) control regions. Due to concerted evolution, these repetitive sequences are highly similar or even identical within a genome. When long repetitive regions are the targets of amplification for the purpose of sequencing, multiple amplicons may result if one primer has to be located inside the repeats. Here, we show that, without separating these amplicons by gel purification or cloning, directly sequencing the mitochondrial repeats with the primer outside repetitive region is feasible and efficient. We exemplify it by sequencing the mtDNA control region of the mosquito Aedes albopictus, which harbors typical large tandem DNA repeats. This one-way sequencing strategy is optimal for population surveys.     

Comparative analysis of tandem repeats from hundreds of species reveals unique insights into centromere evolution

Background

Centromeres are essential for chromosome segregation, yet their DNA sequences evolve rapidly. In most animals and plants that have been studied, centromeres contain megabase-scale arrays of tandem repeats. Despite their importance, very little is known about the degree to which centromere tandem repeats share common properties between different species across different phyla. We used bioinformatic methods to identify high-copy tandem repeats from 282 species using publicly available genomic sequence and our own data.

Results

Our methods are compatible with all current sequencing technologies. Long Pacific Biosciences sequence reads allowed us to find tandem repeat monomers up to 1,419 bp. We assumed that the most abundant tandem repeat is the centromere DNA, which was true for most species whose centromeres have been previously characterized, suggesting this is a general property of genomes. High-copy centromere tandem repeats were found in almost all animal and plant genomes, but repeat monomers were highly variable in sequence composition and length. Furthermore, phylogenetic analysis of sequence homology showed little evidence of sequence conservation beyond approximately 50 million years of divergence. We find that despite an overall lack of sequence conservation, centromere tandem repeats from diverse species showed similar modes of evolution.

Conclusions

While centromere position in most eukaryotes is epigenetically determined, our results indicate that tandem repeats are highly prevalent at centromeres of both animal and plant genomes. This suggests a functional role for such repeats, perhaps in promoting concerted evolution of centromere DNA across chromosomes.     

A software program combining sequence motif searches with keywords for finding repeats containing DNA sequences

MOTIVATION: One of the most interesting features of genomes (both coding and non-coding regions) is the presence of relatively short tandemly repeated DNA sequences known as tandem repeats (TRs). We developed a new PC-based stand-alone software analysis program, combining sequence motif searches with keywords such as organs, tissues, cell lines or development stages for finding exact, inexact and compound, TRs. Tandem Repeats Analyzer 1.5 (TRA) has several advanced repeat search parameters/options over other repeat finder programs as it does not only accept GenBank, FASTA and expressed sequence tag (EST) sequence files but also does analysis of multifiles with multisequences. Advanced user-defined parameters/options let the researchers use different motif lengths search criteria for varying motif lengths simultaneously. The outputs show statistical results to be evaluated by the user. The discovery of TRs in ESTs could be useful for both gene mapping and association studies and discovering TRs located in coding regions of important genes that are expressed under various conditions of environment, stress, organ, tissue and development stage. RESULTS: In this paper, we demonstrated applications of TRA using 175 899 ESTs sequences for three Arabidopsis spp. downloaded from GenBank. The EST-SSRs/ESTs ratios were found 43.1%, 15.3% and 2.34% in A.lyrata, A.thaliana and A.halleri, respectively. Analysis revealed that organs, tissues and development stages possessed different amounts of repeats and repeat compositions. This indicated that the distribution of TRs among the tissues or organs may not be random differing from the untranscribed repeats found in genomes. AVAILABILITY: The program can be obtained free by anonymous FTP from ftp.akdeniz.edu.tr/Araclar/TRA.     

Slipped-strand mispairing: a major mechanism for DNA sequence evolution

Simple repetitive DNA sequences are a widespread and abundant feature of genomic DNA. The following several features characterize such sequences: (1) they typically consist of a variety of repeated motifs of 1-10 bases--but may include much larger repeats as well; (2) larger repeat units often include shorter ones within them; (3) long polypyrimidine and poly-CA tracts are often found; and (4) tandem arrangements of closely related motifs are often found. We propose that slipped-strand mispairing events, in concert with unequal crossing- over, can readily account for all of these features. The frequent occurrence of long tandem repeats of particular motifs (polypyrimidine and poly-CA tracts) appears to result from nonrandom patterns of nucleotide substitution. We argue that the intrahelical process of slipped-strand mispairing is much more likely to be the major factor in the initial expansion of short repeated motifs and that, after initial expansion, simple tandem repeats may be predisposed to further expansion by unequal crossing-over or other interhelical events because of their propensity to mispair. Evidence is presented that single-base repeats (the shortest possible motifs) are represented by longer runs in mammalian introns than would be expected on a random basis, supporting the idea that SSM may be a ubiquitous force in the evolution of the eukaryotic genome. Simple repetitive sequences may therefore represent a natural ground state of DNA unselected for coding functions.