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At least 433 records · Page 24Linked to original sources
PubMed1999

Compositional correlation between open reading frames with opposite transcriptional orientations in Escherichia coli.

This paper analyzes correlations in base composition between pairs of neighboring genes in Escherichia coli. The G + C contents of nearby, but convergently or divergently transcribed, genes show weak but significant correlations, and this is attributed to compositional variation among genomic regions. The finding that the base composition varies among intergenic regions, depending upon whether the adjacent genes are transcribed convergently, divergently, or in the same orientation, seems to indicate that transcription affects the patterns of mutation and, therefore, the overall base composition of the region.

Base Composition↗
PubMed2006

Long-range periodic patterns in microbial genomes indicate significant multi-scale chromosomal organization.

Genome organization can be studied through analysis of chromosome position-dependent patterns in sequence-derived parameters. A comprehensive analysis of such patterns in prokaryotic sequences and genome-scale functional data has yet to be performed. We detected spatial patterns in sequence-derived parameters for 163 chromosomes occurring in 135 bacterial and 16 archaeal organisms using wavelet analysis. Pattern strength was found to correlate with organism-specific features such as genome size, overall GC content, and the occurrence of known motility and chromosomal binding proteins. Given additional functional data for Escherichia coli, we found significant correlations among chromosome position dependent patterns in numerous properties, some of which are consistent with previously experimentally identified chromosome macrodomains. These results demonstrate that the large-scale organization of most sequenced genomes is significantly nonrandom, and, moreover, that this organization is likely linked to genome size, nucleotide composition, and information transfer processes. Constraints on genome evolution and design are thus not solely dependent upon information content, but also upon an intricate multi-parameter, multi-length-scale organization of the chromosome.

Bacterial Proteins↗
PubMed2005

A hybrid neural network system for prediction and recognition of promoter regions in human genome.

This paper proposes a high specificity and sensitivity algorithm called PromPredictor for recognizing promoter regions in the human genome. PromPredictor extracts compositional features and CpG islands information from genomic sequence, feeding these features as input for a hybrid neural network system (HNN) and then applies the HNN for prediction. It combines a novel promoter recognition model, coding theory, feature selection and dimensionality reduction with machine learning algorithm. Evaluation on Human chromosome 22 was approximately 66% in sensitivity and approximately 48% in specificity. Comparison with two other systems revealed that our method had superior sensitivity and specificity in predicting promoter regions. PromPredictor is written in MATLAB and requires Matlab to run. PromPredictor is freely available at http://www.whtelecom.com/Prompredictor.htm.

Computational Biology↗
PubMed2026

Di-, tri-, and tetranucleotide frequencies covary with lifespan and genome size across protostome invertebrates.

Animal lifespans span orders of magnitude, yet how genome sequence covaries with lifespan remains poorly characterized outside vertebrates. Although promoter CpG density has been linked to vertebrate longevity due to its gene-regulatory function through DNA methylation, it is unclear whether such patterns are promoter- and CpG-specific, or if they reflect broader sequence evolution. We curated maximum lifespan estimates for 466 protostome species spanning eight phyla with available genome assemblies and quantified mono-, di-, tri-, and tetranucleotide composition across whole genomes, intergenic regions, and six gene-associated regions (two upstream regions, exons, introns, and two downstream regions) defined using Benchmarking Universal Single-Copy Orthologs. Dinucleotide observed/expected ratios showed significant associations with lifespan and genome size in different ways. Lifespan-associated motifs were most pronounced in gene-associated non-coding regions, especially in introns and downstream regions, whereas genome-size effects were strongest in whole-genome and intergenic sequence. Tri- and tetranucleotide observed/expected ratios broadly recapitulated this regional organization. In contrast, GC content was not associated with lifespan across regions, indicating that the observed signals are not explained by mononucleotide composition but instead by how those nucleotides are arranged into short sequence motifs. These results suggest that lifespan and genome size show distinct but overlapping associations with regional sequence composition across invertebrate species and that lifespan-associated motif evolution extends beyond vertebrate promoter methylation architectures.

CpG density↗
PubMed1995

Patterns of nucleotide composition at fourfold degenerate sites of animal mitochondrial genomes.

Three statistics (%GC, GC-skew, and AT-skew) can be used to describe the overall patterns of nucleotide composition in DNA sequences. Fourfold degenerate third codon positions from 16 animal mitochondrial genomes were analyzed. The overall composition, as measured by %GC, varies from 3.6 %GC in the honeybee to 47.2 %GC in human mtDNA. Compositional differences between strands of the mitochondrial genome were quantified using the two skew statistics presented in this paper. Strand-specific distribution of bases varies among animal taxa independently of overall %GC. Compositional patterns reflect the substitution process. Description of these patterns may aid in the formation of hypotheses about substitutional mechanisms.

Animal Population Groups↗
PubMed2002

Genome-wide scans for QTL affecting carcass traits in Hereford x composite double backcross populations.

A genome-wide scan for chromosomal regions influencing carcass traits was conducted spanning 2.413 morgans on 29 bovine autosomes using 229 microsatellite markers. Two paternal half-sib families of backcross progenies were produced by mating Hereford x composite gene combination (CGC) bulls to both Hereford and CGC dams. Progeny of the first sire (n = 146) were born in 1996 and progeny of the second sire (n = 112) were born in 1997. Each year cattle were fed out and slaughtered serially when they were between 614 and 741 d of age. Phenotypes measured at harvest were: live weight; carcass weight; fat depth; marbling; percentage kidney, pelvic, and heart fat (KPH); and rib eye area. Dressing percentage and USDA Yield Grade were calculated from these data. The phenotypes were adjusted to age-, live weight-, and fat depth-constant endpoints using analysis of covariance. The resulting residuals were analyzed by interval mapping to detect QTL. Within family, nominal significance was established by permutation analysis. Approximate genomewide significance levels were established by applying the Bonferroni correction to the nominal probability levels. Regression and error sums of squares and degrees of freedom were pooled across families when suggestive linkage identified in one family was confirmed in the other. The results indicate promising locations for QTL affecting live weight on BTA 17 and marbling on BTA 2 that segregate in Bos taurus. Also, previously identified linkage between central markers on BTA 5 and USDA Yield Grade was confirmed in one family. Greater marker saturation in these regions coupled with refined methods for data analysis will lead to more precise determination of QTL positions.

Adipose Tissue↗
PubMed2006

A new parameter to study compositional properties of non-coding regions in eukaryotic genomes.

Genomes are characterized by global and local compositional properties that are interesting in an evolutionary perspective but also provide useful information for the identification of some functional elements. Following previous studies, in this work we investigated compositional properties of non-coding sequences in four eukaryotic genomes (C. elegans, D. melanogaster, M. musculus, H. sapiens). We developed a procedure based on Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) to identify pentamers that are over-represented in introns (intron vocabulary) and to define a new parameter (LD) that reflects oligonucleotide composition of a given sequence. We analyzed genomic sequences and we found that all non-coding parts of a genome are characterized by similar LD values. Furthermore, we used the new parameter to analyze potentially regulatory regions. We extracted non-redundant sets of promoter sequences for D. melanogaster and H. sapiens and we studied their compositional (G+C content and LD parameter) and conformational (bendability propensity) properties. We found that regions immediately surrounding transcription start sites are distinguishable because of their %G+C, LD and bendability values.

Animals↗
PubMed1987

The classification of tymoviruses by cDNA-RNA hybridization and other measures of relatedness.

The relationships of twelve tymoviruses have been assessed by cDNA-RNA hybridization. In addition, the percentage molar nucleotide composition of the genome of the PD strain of Kennedya yellow mosaic virus and the percentage molar amino acid composition of the coat proteins of cacao yellow mosaic, Kennedya yellow mosaic and turnip yellow mosaic (Cardamine strain) viruses were estimated. These as well as published serological comparisons and genome and coat protein composition determinations were used to compute classifications of tymoviruses using various "metrics", and simple numerical methods were used to compare the classifications. Measures of relatedness estimated from cDNA-RNA hybridization and base ratio data correlated significantly with each other, but were less closely correlated with those calculated from amino acid data, and did not correlate with those calculated from serological tests. The serological relationships correlated significantly with estimates of relatedness calculated from amino acid data, but not with those based on hybridization or base ratio data. The differences between these classifications mostly resulted from the anomalous behaviour of eggplant mosaic virus, its particles are serologically close to those of other tymoviruses that naturally infect species of the tobacco family, whereas in cDNA-RNA hybridization tests eggplant mosaic virus is closest to the tymoviruses that infect legumes. Similar but smaller anomalies in the characteristics of other tymoviruses were also found.

Amino Acids↗
PubMed1994

The unusual nucleotide content of the HIV RNA genome results in a biased amino acid composition of HIV proteins.

Extremely high frequencies of the A nucleotide are found in the RNA genomes of the lentivirus group of retroviruses. It is presently unknown what molecular force is responsible for this A-pressure. In this manuscript, we demonstrate a correlation between this 'A-pressure' and the amino acid-usage of the lentivirus family. We compared the amino acid composition of the Gag and Pol proteins of the human immunodeficiency viruses type 1 and 2 (HIV-1 and HIV-2) with that of the second group of human retroviruses; the human T-cell leukemia viruses type I and II (HTLV-I and HTLV-II). Differences in total amino acid content correlate with the preference for A-rich codons in the HIV genome. A pair-wise comparison of homologous amino acid positions in the Pol proteins indicates that both conservative and non-conservative changes can be accounted for by this A-bias. The putative molecular mechanism underlying this A-pressure and the evolutionary consequences are discussed.

Amino Acid Sequence↗
PubMed2001

Exploitation of the low fidelity of human immunodeficiency virus type 1 (HIV-1) reverse transcriptase and the nucleotide composition bias in the HIV-1 genome to alter the drug resistance development of HIV.

The RNA genome of the lentivirus human immunodeficiency virus type 1 (HIV-1) is significantly richer in adenine nucleotides than the statistically equal distribution of the four different nucleotides that is expected. This compositional bias may be due to the guanine-to-adenine (G-->A) nucleotide hypermutation of the HIV genome, which has been explained by dCTP pool imbalances during reverse transcription. The adenine nucleotide bias together with the poor fidelity of HIV-1 reverse transcriptase markedly enhances the genetic variation of HIV and may be responsible for the rapid emergence of drug-resistant HIV-1 strains. We have now attempted to counteract the normal mutational pattern of HIV-1 in response to anti-HIV-1 drugs by altering the endogenous deoxynucleoside triphosphate pool ratios with antimetabolites in virus-infected cell cultures. We showed that administration of these antimetabolic compounds resulted in an altered drug resistance pattern due to the reversal of the predominant mutational flow of HIV (G-->A) to an adenine-to-guanine (A-->G) nucleotide pattern in the intact HIV-1-infected lymphocyte cultures. Forcing the virus to change its inherent nucleotide bias may lead to better control of viral drug resistance development.

Anti-HIV Agents↗
PubMed1998

Strand compositional asymmetry in bacterial and large viral genomes.

Several bacterial genomes exhibit preference for G over C on the DNA leading strand extending from the origin of replication to the ter-region in the genomes of Escherichia coli, Mycoplasma genitalium, Bacillus subtilis, and marginally in Haemophilus influenzae, Mycoplasma pneumoniae, and Helicobacter pylori. Strand compositional asymmetry is not observed in the cyanobacterium Synechocystis sp. genome nor in the archaeal genomes of Methanococcus jannaschii, Methanobacterium thermoautotrophicum, and Archaeoglobus fulgidus. A strong strand compositional asymmetry is observed in beta-type but not alpha- or gamma-type human herpesviruses featuring G > C downstream of oriL and C > G upstream of oriL. Dinucleotide relative abundances (i.e., dinucleotide representations normalized by the component nucleotide frequencies) are consonant with respect to the leading and lagging strands. Strand compositional asymmetry may reflect on differences in replication synthesis of the leading versus lagging strand, on differences between template and coding strand associated with transcription-coupled repair mechanisms, on differences in gene density between the two strands, on differences in residue and codon biases in relation to gene function, expression level, or operon organization, or on differences in single or context-dependent base mutational rates. The absence of strand asymmetry in the archaeal genomes may reflect the presence of multiple origins of replication.

DNA, Bacterial↗
PubMed2006

Results of a whole-genome quantitative trait locus scan for growth, carcass composition and meat quality in a porcine four-way cross.

A whole-genome quantitative trait locus (QTL) scan for 31 phenotypes related to growth, carcass composition and meat quality was conducted using 1187 progeny of a commercial four-way cross. Animals were genotyped for 198 microsatellite markers that spanned the entire porcine genome. QTL analysis was conducted to extract information from paternal and maternal meioses separately using a rank-based nonparametric approach for half-sib designs. Nine QTL exceeded genome-wide significance: one QTL affecting growth (average daily gain on SSC1), two QTL influencing carcass composition (fatness on SSC3 and muscle mass on SSC15) and six QTL influencing meat quality (tenderness on SSC4 and SSC14; colour on SSC5, SSC6 and SSCX; and conductivity on SSC16). All but one of these coincided with previously reported QTL. In addition, we present evidence for 78 suggestive QTL with a combined false discovery rate of 40%.

Animals↗
PubMed1994

Compositional heterogeneity of the Escherichia coli genome: a role for VSP repair?

E. coli genes that contain a high frequency of the tetranucleotide CTAG are also rich in the tetramers CTTG, CCTA, CCAA, TTGG, TAGG, and CAAG (group-I tetramers). Conversely, E. coli genes lacking CTAG are rich in the tetranucleotides CCTG, CCAG, CTGG, and CAGG (group-II tetramers). These two gene samples differ also in codon usage, amino acid composition, frequency of Dcm sites, and contrast vocabularies. Group-I tetramers have in common that they are depleted by very-short-patch repair (VSP), while group-II tetramers are favored by VSP activity. The VSP system repairs G:T mismatches to G:C, thereby increasing the overall G+C content of the genome; for this reason the CTAG-rich sample has a lower G+C content than the CTAG-poor sample. This compositional heterogeneity can be tentatively explained by a low level of VSP activity on the CTAG-rich sample. A negative correlation is found between the frequency of group-I tetramers and the level of gene expression, as measured by the Codon Adaptation Index (CAI). A possible link between the rate of VSP activity and the level of gene expression is considered.

Base Sequence↗
PubMed2001

Segmentation of long genomic sequences into domains with homogeneous composition with BASIO software.

UNLABELLED: We present a software system BASIO that allows one to segment a sequence into regions with homogeneous nucleotide composition at a desired length scale. The system can work with arbitrary alphabet and therefore can be applied to various (e.g. protein) sequences. Several sequences of complete genomes of eukaryotes are used to demonstrate the efficiency of the software. AVAILABILITY: The BASIO suite is available for non-commercial users free of charge as a set of executables and accompanying segmentation scenarios from http://www.imb.ac.ru/compbio/basio. To obtain the source code, contact the authors.

Algorithms↗
PubMed2005

Variation in mutation dynamics across the maize genome as a function of regional and flanking base composition.

We examine variation in mutation dynamics across a single genome (Zea mays ssp. mays) in relation to regional and flanking base composition using a data set of 10,472 SNPs generated by resequencing 1776 transcribed regions. We report several relationships between flanking base composition and mutation pattern. The A + T content of the two sites immediately flanking the mutation site is correlated with rate, transition bias, and GC --> AT pressure. We also observe a significant CpG effect, or increase in transition rate at CpG sites. At the regional level we find that the strength of the CpG effect is correlated with regional A + T content, ranging from a 1.7-fold increase in transition rate in relatively G + C-rich regions to a 2.6-fold increase in A + T-rich regions. We also observe a relationship between locus A + T content and GC --> AT pressure. This regional effect is in opposition to the influence of the two immediate neighbors in that GC --> AT pressure increases with increasing locus A + T content but decreases with increasing flanking base A + T content and may represent a relationship between genome location and mutation bias. The data indicate multiple context effects on mutations, resulting in significant variation in mutation dynamics across the genome.

AT Rich Sequence↗
PubMed2005

On the origin of genomic adaptation at high temperature for prokaryotic organisms.

For a long time, the central issue of evolutionary genomics was to find out the adaptive strategy of nucleic acid molecules of various microorganisms having different optimal growth temperatures (Topt). Long-standing controversies exist regarding the correlations between genomic G+C content and Topt, and this debate has not been yet settled. We address this problem by considering the fact that adaptation to growth at high temperature requires a coordinated set of evolutionary changes affecting: (i) nucleic acid thermostability and (ii) stability of codon-anticodon interactions. In the present study, we analyzed 16 prokaryotic genomes having intermediate G+C content and widely varying optimal growth temperatures. Results show that elevated growth temperature imposes selective constraints not only on nucleic acid level but also affects the stability of codon-anticodon interaction. We observed a decrease in the frequency of SSC and SSG codons with the increase in Topt to avoid the formation of side-by-side GC base pairs in the codon-anticodon interaction, thereby making it impossible for a genome to increase GC composition uniformly through the whole coding sequence. Thus, we suggest that any attempt to obtain a generalized relation between genomic GC composition and optimal growth temperature would hardly evolve any satisfactory result.

Adaptation, Physiological↗
PubMed2001

Influence of major histocompatibility complex on bacterial composition of fecal flora.

Very little is known about how the host genome influences the composition of the gastrointestinal flora, largely due to the great number and diversity of bacteria present in the flora and the difficulties of using traditional methods of bacterial isolation and identification. We have approached the problem by studying bacterium-derived cellular fatty acids in the stool samples of six mouse strains congenic for the major histocompatibility complex (MHC). The results obtained indicate that the composition of the fecal flora is genetically regulated. In addition to undefined gene loci, MHC alone has a pronounced effect, since mice with different MHC in the same background have significantly different fecal floras. Demonstration of the genetic influence on the gastrointestinal flora opens a new approach to studying the pathogenesis of bacterially induced diseases.

Animals↗
PubMed1997

The distribution of genes in the genomes of Gramineae.

Recent investigations showed that most maize genes are present in compositional fractions of nuclear DNA that cover only a 1-2% GC (molar fraction of guanosine plus cytosine in DNA) range and represent only 10-20% of the genome. These fractions, which correspond to compositional genome compartments that are distributed on all chromosomes, were collectively called the "gene space." Outside the gene space, the maize genome appears to contain no genes, except for some zein genes and for ribosomal genes. Here, we investigated the distribution of genes in the genomes of two other Gramineae, rice and barley, and used a new set of probes to study further the gene distribution of maize. We found that the distribution of genes in these three genomes is basically similar in that all genes, except for ribosomal genes and some storage protein genes, were located in gene spaces that (i) cover GC ranges of 0.8%, 1.0%, and 1.6% and represent 12%, 17%, and 24% of the genomes of barley, maize, and rice, respectively; (ii) are due to a remarkably uniform base composition in the sequences surrounding the genes, which are now known to consist mainly of transposons; (iii) have sizes approximately proportional to genome sizes, suggesting that expansion-contraction phenomena proceed in parallel in the gene space and in the gene-empty regions of the genome; and (iv) only hybridize on the gene spaces (and not on the other DNA fractions) of other Gramineae.

Genes, Plant↗