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PubMed1996

Genomes with distinct function composition.

The functional composition of organisms can be analysed for the first time with the appearance of complete or sizeable parts of various genomes. We have reduced the problem of protein function classification to a simple scheme with three classes of protein function: energy-, information- and communication-associated proteins. Finer classification schemes can be easily mapped to the above three classes. To deal with the vast amount of information, a system for automatic function classification using database annotations has been developed. The system is able to classify correctly about 80% of the query sequences with annotations. Using this system, we can analyse samples from the genomes of the most represented species in sequence databases and compare their genomic composition. The similarities and differences for different taxonomic groups are strikingly intuitive. Viruses have the highest proportion of proteins involved in the control and expression of genetic information. Bacteria have the highest proportion of their genes dedicated to the production of proteins associated with small molecule transformations and transport. Animals have a very large proportion of proteins associated with intra- and intercellular communication and other regulatory processes. In general, the proportion of communication-related proteins increases during evolution, indicating trends that led to the emergence of the eukaryotic cell and later the transition from unicellular to multicellular organisms.

Animals↗
PubMed1997

Nucleotide compositional constraints on genomes generate alanine-, glycine-, and proline-rich structures in transcription factors.

Correlation between amino acid composition and nucleotide composition is examined. Class III POU transcription factors having higher third GC contents showed higher contents of alanine, glycine, and proline residues encoded by GC-rich nucleotides, and vice versa. This correlation was observed even among various types of transcription factors from vertebrates and invertebrates regardless of functional and structural constraints inherent to each protein. Furthermore, reptile class III POU sequences revealed no evolutionary directionality increasing the GC contents from cold- to warm-blooded vertebrates.

Alanine↗
PubMed1986

[2 types of molecular structure (composition) of a genome in one species of transposable bacteriophages of Pseudomonas aeruginosa].

Comparison of heteroduplexes (HD) between DNAs of different transposable phages of Pseudomonas aeruginosa belonging to two previously described subgroups (D3112 and B3) revealed two types of structure (composition) of the bacteriophages, designated "type A" and "type B". The properties of genome structure of type A (phages of D3112 subgroup) are as follows: high level of conservation (up to 70% of genomes of different phages are represented as blocks of homologous DNA sequences); substitutions in genomes revealed as nonhomology regions in HD are, as a rule, small and located in certain sites; the distribution of the nonhomologous regions in HD of these phages is highly reproducible in independent experiments. Bacteriophages of subgroup B3 have genomes of type B: only a small part (approx. 30%) of genomes retain homology general for all of the phages; the nonhomologous regions are distributed in a large number of sites in HD; the sizes of nonhomologous regions are substantially larger than for the phages of subgroup D3112; distribution of the regions in HD is highly variable, which is characteristic of DNAs with partial homology. There is no difference between genomes of types A and B in G + C content (approx. 61-63%). Viable recombinants can be formed in crosses between phages of different genome types not only in regions with earlier revealed large DNA/DNA homology (right ends of genomes), but also in central portions of the genomes. Nevertheless, functional incompatibility of some regions of phage genomes of types A and B was demonstrated.

Bacteriophages↗
PubMed2002

Comprehensive analysis of amino acid and nucleotide composition in eukaryotic genomes, comparing genes and pseudogenes.

Based on searches for disabled homologs to known proteins, we have identified a large population of pseudogenes in four sequenced eukaryotic genomes-the worm, yeast, fly and human (chromosomes 21 and 22 only). Each of our nearly 2500 pseudogenes is characterized by one or more disablements mid-domain, such as premature stops and frameshifts. Here, we perform a comprehensive survey of the amino acid and nucleotide composition of these pseudogenes in comparison to that of functional genes and intergenic DNA. We show that pseudogenes invariably have an amino acid composition intermediate between genes and translated intergenic DNA. Although the degree of intermediacy varies among the four organisms, in all cases, it is most evident for amino acid types that differ most in occurrence between genes and intergenic regions. The same intermediacy also applies to codon frequencies, especially in the worm and human. Moreover, the intermediate composition of pseudogenes applies even though the composition of the genes in the four organisms is markedly different, showing a strong correlation with the overall A/T content of the genomic sequence. Pseudogenes can be divided into 'ancient' and 'modern' subsets, based on the level of sequence identity with their closest matching homolog (within the same genome). Modern pseudogenes usually have a much closer sequence composition to genes than ancient pseudogenes. Collectively, our results indicate that the composition of pseudogenes that are under no selective constraints progressively drifts from that of coding DNA towards non-coding DNA. Therefore, we propose that the degree to which pseudogenes approach a random sequence composition may be useful in dating different sets of pseudogenes, as well as to assess the rate at which intergenic DNA accumulates mutations. Our compositional analyses with the interactive viewer are available over the web at http://genecensus.org/pseudogene.

Amino Acid Sequence↗
PubMed2006

Genome scanning by composite likelihood.

Ambitious programs have recently been advocated or launched to create genomewide databases for meta-analysis of association between DNA markers and phenotypes of medical and/or social concern. A necessary but not sufficient condition for success in association mapping is that the data give accurate estimates of both genomic location and its standard error, which are provided for multifactorial phenotypes by composite likelihood. That class includes the Malecot model, which we here apply with an illustrative example. This preliminary analysis leads to five inferences: permutation of cases and controls provides a test of association free of autocorrelation; two hypotheses give similar estimates, but one is consistently more accurate; estimation of the false-discovery rate is extended to causal genes in a small proportion of regions; the minimal data for successful meta-analysis are inferred; and power is robust for all genomic factors except minor-allele frequency. An extension to meta-analysis is proposed. Other approaches to genome scanning and meta-analysis should, if possible, be similarly extended so that their operating characteristics can be compared.

Chromosome Mapping↗
PubMed1991

The compositional properties of human genes.

The present work represents the first attempt to study in greater detail previously proposed compositional correlations in genomes, based on a body of additional data relating to gene localizations as well as to extended flanking sequences extracted from gene banks. We have investigated the correlations that exist between (1) the GC levels of exons of human genes, and (2) the GC levels of either intergenic sequences or introns associated with the genes under consideration. In both cases, linear relationships with slopes close to unity were found. The similarity of the linear relationships indicates similar GC levels in intergenic sequences and introns located in the same isochores. Moreover, both intergenic sequences and introns showed GC levels 5-10% lower than the corresponding exons. The above findings considerably strengthen the previously drawn conclusion that coding and noncoding sequences (both inter- and intragenic) from the same isochores of the human genome are compositionally correlated. In addition, we find linear correlations between the GC levels of codon positions and of the intergenic sequences or introns associated with the corresponding genes, as well as among the GC levels of codon positions of genes.

Base Composition↗
PubMed1999

Compositional correlations in the chicken genome.

This paper analyses the compositional correlations that hold in the chicken genome. Significant linear correlations were found among the regions studied-coding sequences (and their first, second, and third codon positions), flanking regions (5' and 3'), and introns-as is the case in the human genome. We found that these compositional correlations are not limited to global GC levels but even extend to individual bases. Furthermore, an analysis of 1037 coding sequences has confirmed a correlation among GC(3), GC(2), and GC(1). The implications of these results are discussed.

3' Untranslated Regions↗
PubMed2004

Composition bias and genome polarity of RNA viruses.

I have observed a relationship between GC content in coding sequences of RNA viruses and their genome polarity. Positive-stranded RNA viruses have significantly higher GC contents than negative-stranded RNA viruses. Coding sequences of all negative-stranded RNA viruses are biased toward high A in coding strands (high T in genomes), while two distinct patterns were observed among positive-stranded RNA genomes. This finding suggests that RNA viruses with different genome polarity are under different mutational pressure, which may be a consequence of the difference in the strategies of viral genome expression and replication. The GC content directly affects the viral codon adaptation index using highly expressed human genes as the reference set, which may theoretically predict the efficiency of viral gene expression in human cells.

Base Composition↗
PubMed2006

Compositional bias and size of genomes of human DNA viruses.

Genomes of 144 human DNA viruses were analyzed in the aspect of their compositional asymmetry. DNA viruses were divided into two groups according to their genome sizes. The analysis revealed that the level of guanine and cytosine (GC content) in the coding sequences of small genome DNA viruses was significantly lower than that of large genome DNA viruses. Because small genome viruses replicate their genomes using cellular enzymes, while large genome viruses use their own enzymes for genome replication, the two groups of viruses may be under different mutational bias and/or selection pressure. In these viruses, GC content at the third codon position correlated with GC content at the first and second codon position. However, the relationship in small genome DNA viruses was weaker than that in large genome DNA viruses, suggesting that their genome composition may be more strongly influenced by codon usage preference or restriction on amino acid composition.

Base Composition↗
PubMed2006

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.

Base Composition↗
PubMed2025

Whole-genome sequencing, strain composition, and predicted antimicrobial resistance of Streptococcus pneumoniae causing invasive disease in England in 2017-20: a prospective national surveillance study.

BACKGROUND: Surveillance of the invasive disease burden caused by Streptococcus pneumoniae in England is performed by the UK Health Security Agency (UKHSA). In 2017, UKHSA switched from phenotypic methods to whole-genome sequencing (WGS) approaches for pneumococcal surveillance. Here, we present the first results of national WGS surveillance, up to the start of the COVID-19 pandemic, with the aim of describing the population genomics of this important pathogen. METHODS: We examined prospective national surveillance data from England, using bacterial isolates from cases of invasive pneumococcal disease (IPD) submitted to the national reference laboratory at UKHSA. A bioinformatic pipeline was developed to quality control WGS data and routinely report species and serotype. We assembled isolate data, assigned global pneumococcal sequencing clusters (GPSCs), and predicted antimicrobial resistance (AMR) profiles for isolates that passed further quality control. We collected additional data on patient outcomes and characteristics using enhanced surveillance questionnaires completed by patients' general practitioners. We used logistic regression analysis to assess the effects of various genomic and patient characteristics on the outcomes of IPD. FINDINGS: In England, between July 1, 2017, and Feb 29, 2020, there were 15 400 cases of IPD. From these cases, 13 749 (89·3%) isolates were sequenced, passed quality control, and were included in analyses. Serotype diversity was high during the study period, with 2751 (20%) isolates serotyped as 13-valent pneumococcal conjugate vaccine (PCV13) types, whereas serotype 8 was the most prevalent serotype (n=3074 [22·4%]) overall. There were 157 GPSCs within the collection, with GSPC3 the most common, encompassing 98·7% (3033 of 3074) of serotype 8 isolates. Most isolates (n=10 198 [74·2%]) did not contain AMR-associated genes. Resistance to co-trimoxazole was the most frequently predicted resistance (n=2331 [17%]), followed by resistance to tetracycline (n=1199 [8·7%]) and β-lactams (n=1149 [8·4%]). Logistic regression analysis found the presence of AMR-associated genes significantly increased the odds of patient death (odds ratio 1·18, 95% CI 1·01-1·38). Some GPSCs were also associated with a significant increase in the odds of patient death, such as GPSC12 (1·88, 1·48-2·38). Isolates from 2018 were associated with a significant increase in the odds of patient death (1·12, 1·00-1·25), whereas younger patient age was significantly associated with a reduction in the odds of patient death compared with being aged 85 years or older. INTERPRETATION: WGS-based surveillance has allowed us to interrogate country-wide population dynamics driving changes in pneumococcal serotype frequency. Here, we observe a stable but diverse population before the COVID-19 pandemic restrictions were enforced in England, with low rates of AMR. These findings will provide the baseline for pandemic and post-pandemic data, to collectively inform implementation and development of the vaccination programme within the country. FUNDING: None.

Streptococcus pneumoniae↗
PubMed2005

Construction of non-symmetric substitution matrices derived from proteomes with biased amino acid distributions.

Automatic comparison of compositionally biased genomes, such as that of the malarial causative agent Plasmodium falciparum (82% adenosine + thymidine), with genomes of average composition, is currently limited. Indeed, popular tools such as BLAST require that amino acid distributions be similar in aligned sequences. However, the P. falciparum genome is so biased that six amino acids account for more than 50% of the protein composition. One reason for the comparison methods failure lies in the compositional difference between the query and the subject proteomes, which is not taken into account in the amino acid substitution matrices. This paper introduces a method to derive substitution matrices, in particular BLOSUM 62, in the frame of the information theory. It allows the construction of non-symmetrical matrices, taking into account the non-symmetric amino acid distributions. The dirAtPf family of matrices allowing the comparison of P. falciparum and A. thaliana is given as an example. This paper further provides an analysis of the obtained matrices in the frame of the information theory, supporting the discrimination advantage they bring.

Amino Acid Sequence↗
PubMed2006

A computational tool for the genomic identification of regions of unusual compositional properties and its utilization in the detection of horizontally transferred sequences.

Similarity Plot (S-plot) is a Windows-based application for large-scale comparisons and 2-dimensional visualization of compositional similarities between genomic sequences. This application combines 2 approaches widely used in genomics: window analysis of statistical characteristics along genomes and dot-plot visual representation. S-plot is effective in identifying highly similar regions between genomes as well as regions with unusual compositional properties (RUCPs) within a single genome, which may be indicative of horizontal gene transfer or of locus-specific selective forces. We use S-plot to identify regions that may have originated through horizontal gene transfer through a 2-step approach, by first comparing a genomic sequence to itself and, subsequently, comparing it to the genomic sequence of a closely related taxon. Moreover, by comparing these suspect sequences to one another, we can estimate a minimum number of sources for these putative xenologous sequences. We illustrate the uses of S-plot in a comparison involving Escherichia coli K12 and E. coli O157:H7. In O157:H7, we found 145 regions that have most probably originated through horizontal gene transfer. By using S-plot to compare each of these regions with 277 completely sequenced prokaryotic genomes, 1 sequence was found to have similar compositional properties to the Yersinia pseudotuberculosis genome, indicating a transfer from a Yersinia or Yersinia relative. Based upon our analysis of RUCPs in O157:H7, we infer that there were at least 53 sources of horizontally transferred sequences.

DNA, Bacterial↗
PubMed2000

Mutations induced by bacteriophage T7 RNA polymerase and their effects on the composition of the T7 genome.

We show here that transcription by the bacteriophage T7 RNA polymerase increases the deamination of cytosine bases in the non-transcribed strand to uracil, causing C to T mutations in that strand. Under optimal conditions, the mutation frequency increases about fivefold over background, and is similar to that seen with the Escherichia coli RNA polymerase. Further, we found that a mutant T7 RNA polymerase with a slower rate of elongation caused more cytosine deaminations than its wild-type parent. These results suggest that promoting cytosine deamination in the non-transcribed strand is a general property of transcription in E. coli and is dependent on the length of time the transcription bubble stays open during elongation. To see if transcription-induced mutations have influenced the evolution of bacteriophage T7, we analyzed its genome for a bias in base composition. Our analysis showed a significant excess of thymine over cytosine bases in the highly transcribed regions of the genome. Moreover, the average value of this bias correlated well with the levels of transcription of different genomic regions. Our results indicate that transcription-induced mutations have altered the composition of bacteriophage T7 genome and suggest that this may be a significant force in genome evolution.

Amination↗
PubMed2002

Maize Mu transposons are targeted to the 5' untranslated region of the gl8 gene and sequences flanking Mu target-site duplications exhibit nonrandom nucleotide composition throughout the genome.

The widespread use of the maize Mutator (Mu) system to generate mutants exploits the preference of Mu transposons to insert into genic regions. However, little is known about the specificity of Mu insertions within genes. Analysis of 79 independently isolated Mu-induced alleles at the gl8 locus established that at least 75 contain Mu insertions. Analysis of the terminal inverted repeats (TIRs) of the inserted transposons defined three new Mu transposons: Mu10, Mu 11, and Mu12. A large percentage (>80%) of the insertions are located in the 5' untranslated region (UTR) of the gl8 gene. Ten positions within the 5' UTR experienced multiple independent Mu insertions. Analyses of the nucleotide composition of the 9-bp TSD and the sequences directly flanking the TSD reveals that the nucleotide composition of Mu insertion sites differs dramatically from that of random DNA. In particular, the frequencies at which C's and G's are observed at positions -2 and +2 (relative to the TSD) are substantially higher than expected. Insertion sites of 315 RescueMu insertions displayed the same nonrandom nucleotide composition observed for the gl8-Mu alleles. Hence, this study provides strong evidence for the involvement of sequences flanking the TSD in Mu insertion-site selection.

5' Untranslated Regions↗
PubMed2001

Composition strand asymmetries in prokaryotic genomes: mutational bias and biased gene orientation.

Most prokaryotic genomes display strand compositional asymmetries, but the reasons for these biases remain unclear. When the distribution of gene orientation is biased, as it often is, this may induce a bias in composition, as codon frequencies are not identical. We show here that this effect can be estimated and removed, and that the residual base skews are the highest at third base codon positions and lower at first and second positions. This strongly suggests that compositional asymmetries result from 1) a replication-related mutational bias that is filtered through selective pressure and/or from 2) an uneven distribution of gene orientation. In most cases, the mutational bias alters the codon usage and amino acid frequencies of the leading and the lagging strand. However, these features are not ubiquitous amongst prokaryotes, and the biological reasons for them remain to be found.

Bacillus subtilis↗
PubMed2004

Selection on codon usage in Drosophila americana.

Synonymous codons are not used at random, significantly influencing the base composition of the genome. The selection-mutation-drift model proposes that this bias reflects natural selection in favor of a subset of preferred codons. Previous estimates in Drosophila of the intensity of selective forces involved seem too large to be reconciled with theoretical predictions of the level of codon bias. This probably results from confounding effects of the demographic histories of the species concerned. We have studied three species of the virilis group of Drosophila, which are more likely to satisfy the assumptions of the evolutionary models. We analyzed the patterns of polymorphism and divergence in a sample of 18 genes and applied a new method for estimating the intensity of selection on synonymous mutations based on the frequencies of unpreferred mutations among polymorphic sites. This yielded estimates of selection intensities (N(e)s) of the order of 0.65, which is more compatible with the observed levels of codon bias. Our results support the action of both selection and mutational bias on codon usage bias and suggest that codon usage and genome base composition in the D. americana lineage are in approximate equilibrium. Biased gene conversion may also contribute to the observed patterns.

Animals↗
PubMed1997

Determination of interferon-alpha2 allele composition in the genomic DNA from healthy volunteers and leukemic patients in Japan.

The three interferon-alpha2 (IFN-alpha2) sequences identified to date differ from each other in just two nucleotide positions, both of which result in changes in amino acids. Thus, the mature IFN-alpha2a protein product is characterized by a lysine residue at position 23 (AAA) and a histidine at position 34 (CAA), IFN-alpha2b has an arginine at position 23 (AGA) and histidine at position 34 (CAT), and IFN-alpha2c has arginine residues at both positions 23 (AGA) and 34 (CGT). These nucleotide variations in the DNA sequence can be distinguished by selective restriction enzyme analysis. We studied the distributions of the three IFN-alpha2 variants by analyzing chromosomal DNA from 103 Japanese volunteers and 33 patients with hematologic disorders. Fragments of 238 bp and 617 bp of the IFN-alpha2 gene containing codons 23 and 34 were amplified by PCR using specific primers, and the PCR products were analyzed with specific restriction nucleases to identify the IFN-alpha2 variant sequences. Only IFN-alpha2b gene was detected in normal volunteers, and no IFN-alpha2a gene was detected in Japanese subjects. However, IFN-alpha2c was detected in 4 of 33 (12.1%) patients with leukemia.

Adult↗