A novel method to calculate the G+C content of genomic DNA sequences.

The base composition of a DNA fragment or genome is usually measured by the proportion of A+T or G+C in the sequence. The G+C content along genomic sequences is usually calculated using an overlapping or non-overlapping sliding window method. The result and accuracy of such an approach depends on the size of the window and the moving distance adopted. In this paper, a novel windowless technique to calculate the G+C content of genomic sequences is proposed. By this method, the G+C content can be calculated at different "resolution". In an extreme case, the G+C content may be computed at a specific point, rather than in a window of finite size. This is particularly useful to analyze the fine variation of base composition along genomic sequences. As the first example, the variation of G+C content along each of 16 yeast chromosomes is analyzed. The G+C-rich regions with length larger than 5 kb sequences are detected and listed in details. It is found that each chromosome consists of several G+C-rich and G+C-poor regions alternatively, i.e., a mosaic structure. Another example is to analyze the G+C content for each of the two chromosomes of the Vibrio cholerae genome. Based on the variations of the G+C content in each chromosome, it is shown that some fragments in the Vibrio cholerae genome may have been transferred from other species. Especially, the position and size of the large integron island on the smaller chromosome was precisely predicted. This method would be a useful tool for analyzing genomic sequences.     

An isochore map of the human genome based on the Z curve method

The distribution of the G+C content in the human genome has been studied by using a windowless technique derived from the Z curve method. The most important findings presented in this paper are twofold. First, abrupt variations of the G+C content along human chromosome sequences are the main variation patterns of G+C content. It is found that at some sites, the G+C content undergoes abrupt changes from a G+C-rich region to a G+C-poor region alternatively and vice versa. Second, it is shown that long domains with relatively homogeneous G+C content along each chromosome do exist. These domains are thought to be isochores, which usually have sharp boundaries. Consequently, 56 isochores longer than 3 Mb have been identified in chromosomes 1-22, X and Y. Boundaries, size and G+C content of each isochore identified are listed in detail. As an example to demonstrate the power of the method, the boundary between the Classes III and II isochores of the MHC sequence has been determined and found to be at 2,477,936, which is in good agreement with the experimental evidence. A homogeneity index is introduced to measure the homogeneity of G+C content in isochores. We emphasize that the homogeneity of G+C content is relative. The isochores in which the G+C content keeps absolutely constant do not exist. Isochore structures appear to be a basic organization of the human genome. Due to the relevance to many important biological functions, the clarification of isochore structures will provide much insight into the understanding of the human genome.     

Discovering isochores by least-squares optimal segmentation

The isochore structure of a genome is observable by variation in the G+C (guanine and cytosine) content within and between the chromosomes. Describing the isochore structure of vertebrate genomes is a challenging task, and many computational methods have been developed and applied to it. Here we apply a well-known least-squares optimal segmentation algorithm to isochore discovery. The algorithm finds the best division of the sequence into k pieces, such that the segments are internally as homogeneous as possible. We show how this simple segmentation method can be applied to isochore discovery using as input the G+C content of sliding windows on the sequence. To evaluate the performance of this segmentation technique on isochore detection, we present results from segmenting previously studied isochore regions of the human genome. Detailed results on the MHC locus, on parts of chromosomes 21 and 22, and on a 100 Mb region from chromosome 1 are similar to previously suggested isochore structures. We also give results on segmenting all 22 autosomal human chromosomes. An advantage of this technique is that oversegmentation of G+C rich regions can generally be avoided. This is because the technique concentrates on greater global, instead of smaller local, differences in the sequence composition. The effect is further emphasized by a log-transformation of the data that lowers the high variance that is observed in G+C rich regions. We conclude that the least-squares optimal segmentation method is computationally efficient and yields results close to previous biologically motivated isochore structures.     

Chromosomal location effects on gene sequence evolution in mammals.

BACKGROUND: Nucleotide substitution rates and G + C content vary considerably among mammalian genes. It has been proposed that the mammalian genome comprises a mosaic of regions - termed isochores - with differing G + C content. The regional variation in gene G + C content might therefore be a reflection of the isochore structure of chromosomes, but the factors influencing the variation of nucleotide substitution rate are still open to question. RESULTS: To examine whether nucleotide substitution rates and gene G + C content are influenced by the chromosomal location of genes, we compared human and murid (mouse or rat) orthologues known to belong to one of the chromosomal (autosomal) segments conserved between these species. Multiple members of gene families were excluded from the dataset. Sets of neighbouring genes were defined as those lying within 1 centiMorgan (cM) of each other on the mouse genetic map. For both synonymous substitution rates and G + C content at silent sites, neighbouring genes were found to be significantly more similar to each other than sets of genes randomly drawn from the dataset. Moreover, we demonstrated that the regional similarities in G + C content (isochores) and synonymous substitution rate were independent of each other. CONCLUSIONS: Our results provide the first substantial statistical evidence for the existence of a regional variation in the synonymous substitution rate within the mammalian genome, indicating that different chromosomal regions evolve at different rates. This regional phenomenon which shapes gene evolution could reflect the existence of 'evolutionary rate units' along the chromosome.     

Analysis of the codon usage pattern in the Vibrio cholerae genome.

The codon usage in the Vibrio cholerae genome is analyzed in this paper. Although there are much more genes on the chromosome 1 than on chromosome 2, the codon usage patterns of genes on the two chromosomes are quite similar, indicating that the two chromosomes may have coexisted in the same cell for a very long history. Unlike the base frequency pattern observed in other genomes, the G+C content at the third codon position of the V. cholerae genome varies in a rather small interval. The most notable feature of codon usage of V. cholerae genome is that there is a fraction of genes show significant bias in base choice at the second codon position. The 2,006 known genes can be classified into two clusters according to the base frequencies at this position. The smaller cluster contains 227 genes, most of which code for proteins involved in transport and binding functions. The encoding products of these genes have significant bias in amino acids composition as compared with other genes. The codon usage patterns for the 1,836 function unknown ORFs are also analyzed, which is useful to study their functions.     

Diversity in G + C content at the third position of codons in vertebrate genes and its cause.

Correlation was positive between the G + C content at the codon third position in genes of vertebrates and the G + C content of the genome portion surrounding each gene. Exons of genes with a high G + C% at the codon 3rd position are surrounded by G + C-rich introns and G + C-rich flanking sequences, and those with a low G + C% at the position by A + T-rich introns and flanking sequences. Analysis of G + C content distribution along DNA sequences using a DNA Sequence Data Bank supported the view that the vertebrate genome is a mosaic of regions with clear differences in their G + C content. The biological significance of the variation in G + C content throughout the vertebrate genome is discussed in connection with chromosomal banding.     

Regional base composition variation along yeast chromosome III: evolution of chromosome primary structure.

The recent determination of the complete sequence of chromosome III from the yeast Saccharomyces cerevisiae allows, for the first time, the investigation of the long range primary structure of a eukaryotic chromosome. We have found that, against a background G+C level of about 35%, there are two regions (one in each chromosome arm) in which G+C values rise to over 50%. This effect is seen in silent sites within genes, but not in noncoding intergenic sequences. The variation in G+C content is not related to differential selection of synonymous codons, and probably reflects mutational biases. That the intergenic regions do not exhibit the same phenomenon is particularly interesting, and suggests that they are under substantial constraint. The yeast chromosome may be a model of the structure of the human genome, since there is evidence that it is also a mosaic of long regions of different base compositions, reflected in wide variation of G+C content at silent sites among genes. Two possible causes of this regional effect, replication timing, and recombination frequency, are discussed.     

No isochores in the human chromosomes 21 and 22?

The human genome is described in the literature as being composed of the isochores, i.e., long (hundreds of kilobases) segments with a homogeneous (G + C) content. We calculated the (G + C) content variations along the DNA molecules of the human chromosomes 21 and 22 and found the variations to be higher everywhere compared to the randomized sequences. Hence the (G + C) content is certainly not homogeneous on the isochore scale in the two human chromosomes. In addition, we found no significant difference between the two human molecules and the genome of E. coli regarding the (G + C) content variations. Hence no isochores are either present in the DNA molecules of the human chromosomes 21 and 22, or the isochores are also present in the genome of Escherichia coli. In any case, the present communication demonstrates that the isochores should be defined in unambiguous molecular terms if they are to be used for an up-to-date genome structure characterization.     

A Francisella tularensis pathogenicity island required for intramacrophage growth

Francisella tularensis is a gram-negative, facultative intracellular pathogen that causes the highly infectious zoonotic disease tularemia. We have discovered a ca. 30-kb pathogenicity island of F. tularensis (FPI) that includes four large open reading frames (ORFs) of 2.5 to 3.9 kb and 13 ORFs of 1.5 kb or smaller. Previously, two small genes located near the center of the FPI were shown to be needed for intramacrophage growth. In this work we show that two of the large ORFs, located toward the ends of the FPI, are needed for virulence. Although most genes in the FPI encode proteins with amino acid sequences that are highly conserved between high- and low-virulence strains, one of the FPI genes is present in highly virulent type A F. tularensis, absent in moderately virulent type B F. tularensis, and altered in F. tularensis subsp. novicida, which is highly virulent for mice but avirulent for humans. The G+C content of a 17.7-kb stretch of the FPI is 26.6%, which is 6.6% below the average G+C content of the F. tularensis genome. This extremely low G+C content suggests that the DNA was imported from a microbe with a very low G+C-containing chromosome.     

Analysis of the codon usage of the cephamycin C producer Nocardia lactamdurans

Abstract The G + C content in a sequenced region of 27 kb of the Nocardia lactamdurans genome is 70.4 and 70.6% in the 14 characterized ORFs, showing an extreme average G + C content (94.9%) in the third codon position. The codon usage parameters of the N. lactamdurans genes studied are closely related and depart weakly from the values of other species of the genus Nocardia . The homologies and differences in the codon usage between N. lactamdurans and Streptomyces sp. or other high-G + C Gram-positive genera are analysed.     

Genome segmentation using piecewise constant intensity models and reversible jump MCMC

The existence of whole genome sequences makes it possible to search for global structure in the genome. We consider modeling the occurrence frequencies of discrete patterns (such as starting points of ORFs or other interesting phenomena) along the genome. We use piecewise constant intensity models with varying number of pieces, and show how a reversible jump Markov Chain Monte Carlo (RJMCMC) method can be used to obtain a posteriori distribution on the intensity of the patterns along the genome. We apply the method to modeling the occurrence of ORFs in the human genome. The results show that the chromosomes consist of 5-35 clearly distinct segments, and that the posteriori number and length of the segments shows significant variation. On the other hand, for the yeast genome the intensity of ORFs is nearly constant.     

Size and physical map of the Campylobacter jejuni chromosome.

The chromosome of Campylobacter jejuni is circular and approximately 1700 kb in circumference. The size of the genome was determined by field inversion gel electrophoresis of restriction endonuclease fragments using lambda DNA concatamers and yeast chromosomes to calibrate the size of the fragments. In view of the low (32-35%) G + C content of the campylobacter genome, enzymes that recognizes GC-rich sequences were used. Of the enzymes tested BssHII (G/C(G)CGC), NciI (CC/CGCG) and SalI (G/TCGAC) appeared to be usable. Hybridization of labeled fragments with two or more fragments from digests with a different restriction enzyme gave the information to order the fragments on the C jejuni chromosome. The localization on the genome of the flagellin and ribosomal gene clusters was determined.     

Codon usage in the G+C-rich Streptomyces genome.

The codon usage (CU) patterns of 64 genes from the Gram+ prokaryotic genus Streptomyces were analysed. Despite the extremely high overall G+C content of the Streptomyces genome (estimated at 0.74), individual genes varied in G+C content from 0.610 to 0.797, and had third codon position G+C contents (GC3s) that varied from 0.764 to 0.983. The variation in GC3s explains a significant proportion of the variation in CU patterns. This is consistent with an evolutionary model of the Streptomyces genome where biased mutation pressure has led to a high average G+C content with random variation about the mean, although the variation observed is greater than that expected from a simple binomial model. The only gene in the sample that can be confidently predicted to be highly expressed, EF-Tu of Streptomyces coelicolor A3(2) (GC3s = 0.927), shows a preference for a third position C in several of the four codon families, and for CGY and GGY for Arg and Gly codons, respectively (Y = pyrimidine); similar CU patterns are found in highly expressed genes of the G+C-rich Micrococcus luteus genome. It thus appears that codon usage in Streptomyces is determined predominantly by mutation bias, with weak translational selection operating only in highly expressed genes. We discuss the possible consequences of the extreme codon bias of Streptomyces and consider how it may have evolved. A set of CU tables is provided for use with computer programs that locate protein-coding regions.     

Synonymous codon usage in Pseudomonas aeruginosa PA01

Pseudomonas aeruginosa PA01 has a large (6.7 Mbp) genome with a high (67%) G+C content. Codon usage in this species is dominated by this compositional bias, with the average G+C content at synonymously variable third positions of codons being 83%. Nevertheless, there is some variation of synonymous codon usage among genes. The nature and causes of this variation were investigated using multivariate statistical analyses. Three trends were identified. The major source of variation was attributable to genes with unusually low G+C content that are probably due to horizontal transfer. A lesser trend among genes was associated with the preferential use of putatively translationally optimal codons in genes expressed at high levels. In addition, genes on the leading strand of replication were on average more G+T-rich. Our findings contradict the results of two previous analyses, and the reasons for the discrepancies are discussed.     

Characteristics of Human and Mouse Orthologous Protein-Coding Nucleotide Sequences with Large G+C Content Variations

Characteristics of human and mouse orthologous gene sequences which have large G+C content variations were investigated in this study. The orthologous gene pairs were classified into two groups according to the deviation between human and mouse G+C content at the third codon position (GC3) and were subsequently analyzed. In one group, mouse genes had higher GC3 than the corresponding human genes and in another group, human genes had higher GC3 than mouse. Furthermore, the orthologous pairs were separated based on the deviation between human or mouse GC3 and the G+C content at the third codon position of identical codons (IC3), to examine the effect of increased or decreased G+C content in human or mouse sequences. The nucleotide substitution patterns between human and mouse sequences in the two groups were remarkably distinct, and consistent with the state of G+C-rich or G+C-poor sequences. The effect of increase or decrease of G+C content in human or mouse sequences was not clear in the nucleotide substitution patterns. The chromosomal locations of human and mouse orthologous gene pairs were different between the two groups. The genes located on an identical syntenic segment showed the trend of having similar G+C content. Moreover, the same gene order of some genes on different chromosomes of both species demonstrated the gene rearrangements between human and mouse. Our study indicated that the chromosomal locations and rearrangements are associated with the GC3 variation between human and mouse sequences.Key Words: Human mouse orthologs, G+C content variation, nucleotide substitution, gene location, gene rearrangement.     

Mammalian gene evolution: Nucleotide sequence divergence between mouse and rat

As a paradigm of mammalian gene evolution, the nature and extent of DNA sequence divergence between homologous protein-coding genes from mouse and rat have been investigated. The data set examined includes 363 genes totalling 411 kilobases, making this by far the largest comparison conducted between a single pair of species. Mouse and rat genes are on average 93.4% identical in nucleotide sequence and 93.9% identical in amino acid sequence. Individual genes vary substantially in the extent of nonsynonymous nucleotide substitution, as expected from protein evolution studies; here the variation is characterized. The extent of synonymous (or silent) substitution also varies considerably among genes, though the coefficient of variation is about four times smaller than for nonsynonymous substitutions. A small number of genes mapped to the X-chromosome have a slower rate of molecular evolution than average, as predicted if molecular evolution is male-driven. Base composition at silent sites varies from 33% to 95% G + C in different genes; mouse and rat homologues differ on average by only 1.7% in silent-site G + C, but it is shown that this is not necessarily due to any selective constraint on their base composition. Synonymous substitution rates and silent site base composition appear to be related (genes at intermediate G + C have on average higher rates), but the relationship is not as strong as in our earlier analyses. Rates of synonymous and nonsynonymous substitution are correlated, apparently because of an excess of substitutions involving adjacent pairs of nucleotides. Several factors suggest that synonymous codon usage in rodent genes is not subject to selection.     

Analysis of nucleotide distribution in the genome of Streptomyces coelicolor A3(2) using the Z curve method

The nucleotide distribution of all 33 527 open reading frames (ORFs) (≥300 bp) in the genome of Streptomyces coelicolor A3(2) has been analyzed using the Z curve method. Each ORF is mapped onto a point in a 9-dimensional space. To visualize the distribution of mapping points, the points are projected onto the principal plane based on principal component analysis. Consequently, the distribution pattern of the 33 527 points in the principal plane shows a flower-like shape, in which there are seven distinct regions. In addition to the central region, there are six petal-like regions around the center, one of which corresponds to 7172 coding sequences. The central region and the remaining five petal-like regions correspond to the intergenic sequences and out-of-frame non-coding ORFs, respectively. It is shown that selective pressure produces a remarkable bias of the G+C content among three codon positions, resulting in the interesting phenomenon observed. A similar phenomenon is also observed for other bacterial genomes with high genomic G+C content, such as Pseudomonas aeruginosa PA01 (G+C=66.6%). However, for the genomes of Bacillus subtilis (G+C=43.5%) and Clostridium perfringens (G+C=28.6%), no similar phenomenon was observed. The finding presented here may be useful to improve the gene-finding algorithms for genomes with high G+C content. A set of supplementary materials including the plots displaying the base distribution patterns of ORFs in 12 prokaryotes is provided on the website http://tubic.tju.edu.cn/highGC/.     

Relationship between G + C in silent sites of codons and amino acid composition of human proteins

Summary We have investigated the relationship between the G + C content of silent (synonymous) sites in codons and the amino acid composition of encoded proteins for approximately 1,600 human genes. There are positive correlations between silent site G + C and the proportions of codons for Arg, Pro, Ala, Trp, His, Gln, and Leu and negative ones for Tyr, Phe, Asn, Ile, Lys, Asp, Thr, and Glu. The median proteins coded by groups of genes that differ in silent-site G + C content also differ in amino acid composition, as do some proteins coded by homologous genes. The pattern of compositional change can be largely explained by directional mutation pressure, the genetic code, and differences in the frequencies of accepted amino acid substitutions; the shifts in protein composition are likely to be selectively neutral.Offprint requests to: D.W. Collins     

Isochore structures in the mouse genome

The distribution of the G+C content in the mouse genome has been studied using a windowless technique. We have found that: (i). Abrupt variations of the G+C content from a GC-rich region to a GC-poor region, and vice versa, occur frequently at some sites along the sequence of the mouse genome. (ii). Long domains with relatively homogeneous G+C content (isochores) exist, which usually have sharp boundaries. Consequently, 28 isochores longer than 1 Mb have been identified in the mouse genome. A homogeneity index was used to quantify the variations of the G+C content within isochores. The precise boundaries, sizes, and G+C contents of these isochores have been determined. The windowless technique for the G+C content computation was also used to analyze the DNA sequence containing the mouse MHC region, which has a GC-poor isochore. This isochore is located at the central part of the sequence with boundaries at 468459 and 812716 bp, where the sequence is extended from the centromeric end to the telomeric end. In addition, the analysis of a segment of the rat genome shows that the rat genome also has clear isochore structures.