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Rates of synonymous substitution do not indicate selective constraints on the codon use of the plant psbA gene.

The psbA gene of the flowering plant chloroplast genome has a pattern of codon bias that differs from all other angiosperm chloroplast genes. In psbA, unlike all other chloroplast genes, the third-codon-position composition does not reflect the general genome compositional bias of a high A+T content. Instead, in specific synonymous groups, the codon use of psbA more closely corresponds to the tRNA population available for translation. Since it requires a composition unlike the genome composition bias, this pattern of codon use is likely to be the result of selection. Selective constraints on codon use are expected to result in decreased rates of synonymous substitution, and it has been observed that psbA has the lowest rate of synonymous substitution among plant chloroplast genes. In the present study, this is examined further by testing whether or not those synonymous groups that specifically have an atypical codon use in psbA have correspondingly low rates of silent substitution. An analysis of synonymous substitution rate, performed separately for different degeneracy classes of amino acids, shows that, contrary to the expectation, those sites that are presumed, based on their codon use, to be under selective constraint in psbA do not show low rates of substitution and are not responsible for the overall low rate of synonymous substitution in this gene. Instead, they actually show increased rates of substitution relative to other chloroplast genes. Two hypotheses concerning the role of selection in psbA are advanced to explain the results.

Chloroplasts↗

Compositional heterogeneity within and among isochores in mammalian genomes. I. CsCl and sequence analyses.

GC level distributions of a species' nuclear genome, or of its compositional fractions, encode key information on structural and functional properties of the genome and on its evolution. They can be calculated either from absorbance profiles of the DNA in CsCl density gradients at sedimentation equilibrium, or by scanning long contigs of largely sequenced genomes. In the present study, we address the quantitative characterization of the compositional heterogeneity of genomes, as measured by the GC distributions of fixed-length fragments. Special attention is given to mammalian genomes, since their compartmentalization into isochores implies two levels of heterogeneity, intra-isochore (local) and inter-isochore (global). This partitioning is a natural one, since large-scale compositional properties vary much more among isochores than within them. Intra-isochore GC distributions become roughly Gaussian for long fragments, and their standard deviations decrease only slowly with increasing fragment length, unlike random sequences. This effect can be explained by 'long-range' correlations, often overlooked, that are present along isochores.

Animals↗

The global intrinsic curvature of archaeal and eubacterial genomes is mostly contained in their dinucleotide composition and is probably not an adaptation.

Until now, the genomic DNA of all eubacteria analyzed has been hyper-curved, its global intrinsic curvature being higher than that of a random sequence. In contrast, that rule failed for archaea or eukaryotes, which could be either hypo- or hyper-curved. The existence of the rule suggested that, at least for eubacteria, global intrinsic curvature is adaptive. However, the present results from analyzing 21 eubacterial and six archaeal genomes argue against adaptation. First, there are two eubacterial exceptions to the former rule. More significantly, we found that the dinucleotide composition of the genome alone (which lacks all sequence information) is enough to determine the genome curvature. Additional evidence against adaptation came from showing that the global curvature of bacterial genomes could not have evolved under either of two complementary models of curvature selection: (i) that curvature is selected locally from unbiased variability; (ii) that curvature is established globally through the selection of a curvature-altering mutational bias. We found that the observed relationship between curvature and dinucleotide composition is incompatible with model (i). We also found that, contrary to the predictions of model (ii), the dinucleo-tide compositions of bacterial genomes were not statistically special in their curvature-related properties (when compared to stochastically generated dinucleotide compositions).

Base Composition↗

Mutation-biased adaptation in a protein NK model.

Evolutionary trends responsible for systematic differences in genome and proteome composition have been attributed to GC:AT mutation bias in the context of neutral evolution or to selection acting on genome composition. A possibility that has been ignored, presumably because it is part of neither the Modern Synthesis nor the Neutral Theory, is that mutation may impose a directional bias on adaptation. This possibility is explored here with simulations of the effect of a GC:AT bias on amino acid composition during adaptive walks on an abstract protein fitness landscape called an "NK" model. The results indicate that adaptation does not preclude mutation-biased evolution. In the complete absence of neutral evolution, a modest GC:AT bias of realistic magnitude can displace the trajectory of adaptation in a mutationally favored direction, to such a degree that amino acid composition is biased substantially and persistently. Thus, mutational explanations for evolved patterns need not presuppose neutral evolution.

Adaptation, Physiological↗

Genome-wide scan for body composition in pigs reveals important role of imprinting.

The role of imprinting in body composition was investigated in an experimental cross between Chinese Meishan pigs and commercial Dutch pigs. A whole-genome scan revealed significant evidence for five quantitative trait loci (QTL) affecting body composition, of which four were imprinted. Imprinting was tested with a statistical model that separated the expression of paternally and maternally inherited alleles. For back fat thickness, a paternally expressed QTL was found on Sus scrofa chromosome 2 (SSC2), and a Mendelian-expressed QTL was found on SSC7. In the same region of SSC7, a maternally expressed QTL affecting muscle depth was found. Chromosome 6 harbored a maternally expressed QTL on the short arm and a paternally expressed QTL on the long arm, both affecting intramuscular fat content. The individual QTL explained from 2% up to 10% of the phenotypic variance. The known homologies to human and mouse did not reveal positional candidate genes. This study demonstrates that testing for imprinting should become a standard procedure to unravel the genetic control of multifactorial traits.

Adipose Tissue↗

A study of archaeal enzymes involved in polar lipid synthesis linking amino acid sequence information, genomic contexts and lipid composition.

Cellular membrane lipids, of which phospholipids are the major constituents, form one of the characteristic features that distinguish Archaea from other organisms. In this study, we focused on the steps in archaeal phospholipid synthetic pathways that generate polar lipids such as archaetidylserine, archaetidylglycerol, and archaetidylinositol. Only archaetidylserine synthase (ASS), from Methanothermobacter thermautotrophicus, has been experimentally identified. Other enzymes have not been fully examined. Through database searching, we detected many archaeal hypothetical proteins that show sequence similarity to members of the CDP alcohol phosphatidyltransferase family, such as phosphatidylserine synthase (PSS), phosphatidylglycerol synthase (PGS) and phosphatidylinositol synthase (PIS) derived from Bacteria and Eukarya. The archaeal hypothetical proteins were classified into two groups, based on the sequence similarity. Members of the first group, including ASS from M. thermautotrophicus, were closely related to PSS. The rough agreement between PSS homologue distribution within Archaea and the experimentally identified distribution of archaetidylserine suggested that the hypothetical proteins are ASSs. We found that an open reading frame (ORF) tends to be adjacent to that of ASS in the genome, and that the order of the two ORFs is conserved. The sequence similarity of phosphatidylserine decarboxylase to the product of the ORF next to the ASS gene, together with the genomic context conservation, suggests that the ORF encodes archaetidylserine decarboxylase, which may transform archaetidylserine to archaetidylethanolamine. The second group of archaeal hypothetical proteins was related to PGS and PIS. The members of this group were subjected to molecular phylogenetic analysis, together with PGSs and PISs and it was found that they formed two distinct clusters in the molecular phylogenetic tree. The distribution of members of each cluster within Archaea roughly corresponded to the experimentally identified distribution of archaetidylglycerol or archaetidylinositol. The molecular phylogenetic tree patterns and the correspondence to the membrane compositions suggest that the two clusters in this group correspond to archaetidylglycerol synthases and archaetidylinositol synthases. No archaeal hypothetical protein with sequence similarity to known phosphatidylcholine synthases was detected in this study.

Archaea↗

Global dinucleotide signatures and analysis of genomic heterogeneity.

Early biochemical experiments measuring nearest neighbor frequencies established that the set of dinucleotide relative abundance values (dinucleotide biases) is a remarkably stable property of the DNA of an organism. Analyses of currently available genomic sequence data have extended these earlier results, showing that the dinucleotide biases evaluated for successive 50 kb segments of a genome are significantly more similar to each other than to those of sequences from more distant organisms. From this perspective, the set of dinucleotide biases constitutes a 'genomic signature' that can discriminate sequences from different organisms. The dinucleotide biases appear to reflect species-specific properties of DNA stacking energies, modification, replication, and repair mechanisms. The genomic signature is useful for detecting pathogenicity islands in bacterial genomes.

Bacteria↗

Advancing genetic evaluation of milk yield and composition using a genomic-polygenic model in smallholder dairy cattle farms in Thailand.

Improving the accuracy of genetic evaluation in smallholder dairy systems is essential for sustainable productivity. However, traditional polygenic models (PM) are often constrained by incomplete pedigree, heterogeneous management, and limited genotyping resources. This study evaluated a genomic-polygenic model (GPM) relative to a PM using data from a multibreed dairy population raised under Thai tropical smallholder conditions. Phenotypic records for 305-day milk yield (MY), fat percentage (FP), protein percentage (PP), and somatic cell count (SCC) from 14,417 first-lactation cows across 1,321 farms were analyzed together with genotypes from 5,479 animals generated using GeneSeek Genomic Profiler (GGP) arrays ranging from 9 K to 150 K SNPs. Both models included herd-year-season of calving, age at first calving, and heterosis as fixed effects, and additive genetic and residual components treated as random. The GPM yielded higher additive genetic variances and heritability estimates and produced more biologically consistent antagonistic correlations among traits than the PM. Prediction accuracy was improved for all animal groups under the GPM, with the largest gain observed in genotyped young sires (18.36%). Pedigree connectedness analysis indicated that genotyping animals with low to moderate relationships enhances accuracy cost-effectively. Despite persistent challenges associated with heterogeneous management and limited pedigree depth, the results demonstrate the practical value of genomic-polygenic evaluation for smallholder multibreed dairy populations in tropical environments.

Animals↗

Simple sequence proteins in prokaryotic proteomes.

BACKGROUND: The structural and functional features associated with Simple Sequence Proteins (SSPs) are non-globularity, disease states, signaling and post-translational modification. SSPs are also an important source of genetic and possibly phenotypic variation. Analysis of 249 prokaryotic proteomes offers a new opportunity to examine the genomic properties of SSPs. RESULTS: SSPs are a minority but they grow with proteome size. This relationship is exhibited across species varying in genomic GC, mutational bias, life style, and pathogenicity. Their proportion in each proteome is strongly influenced by genomic base compositional bias. In most species simple duplications is favoured, but in a few cases such as Mycobacteria, large families of duplications occur. Amino acid preference in SSPs exhibits a trend towards low cost of biosynthesis. In SSPs and in non-SSPs, Alanine, Glycine, Leucine, and Valine are abundant in species widely varying in genomic GC whereas Isoleucine and Lysine are rich only in organisms with low genomic GC. Arginine is abundant in SSPs of two species and in the non-SSPs of Xanthomonas oryzae. Asparagine is abundant only in SSPs of low GC species. Aspartic acid is abundant only in the non-SSPs of Halobacterium sp NRC1. The abundance of Serine in SSPs of 62 species extends over a broader range compared to that of non-SSPs. Threonine(T) is abundant only in SSPs of a couple of species. SSPs exhibit preferential association with Cell surface, Cell membrane and Transport functions and a negative association with Metabolism. Mesophiles and Thermophiles display similar ranges in the content of SSPs. CONCLUSION: Although SSPs are a minority, the genomic forces of base compositional bias and duplications influence their growth and pattern in each species. The preferences and abundance of amino acids are governed by low biosynthetic cost, evolutionary age and base composition of codons. Abundance of charged amino acids Arginine and Aspartic acid is severely restricted. SSPs preferentially associate with cell surface and interface functions as opposed to metabolism, wherein proteins of high sequence complexity with globular structures are preferred. Mesophiles and Thermophiles are similar with respect to the content of SSPs. Our analysis serves to expand the commonly held views on SSPs.

Amino Acid Sequence↗

The effect of codon usage on the oligonucleotide composition of the E. coli genome and identification of over- and underrepresented sequences by Markov chain analysis.

As shown in the accompanying paper (5), the oligonucleotide composition of the E. coli genome is highly asymmetric for sequences up to 6 bp in length when ranked from highest to lowest abundance. We show here that this largely reflects codon usage because heavily used codons were found in the highly abundant oligomers whereas rarely used codons, with some exceptions, occurred in sequences in low abundance. Furthermore, linear regression analysis revealed a strong correlation between the frequencies of each trinucleotide and its usage as a codon. Dinucleotides are also not randomly distributed across each codon position and the dinucleotide composition of genes that are transcribed but not translated (rRNA and tRNA genes) was highly related to that seen in genes encoding polypeptides. However, 45 tetra-, 8 penta-, and 6 hexanucleotides were significantly over- or underabundant by Markov chain analysis and could not be accounted for by codon usage. Of these underrepresented sequences, many were palindromes, including the Dam methylation site.

Base Sequence↗

The isopycnic, compartmentalized integration of Rous sarcoma virus sequences.

Rous sarcoma virus (RSV) can cause tumors in hamsters, which harbor complete or partially deleted RSV sequences, in their genomes. Here we have studied the localization of RSV sequences integrated into the genome of cell lines derived from six independent hamster tumors. We have found that integration occurred in the isochores richest in guanine + cytosine, of the host genome, as it had been previously observed for bovine leukemia and hepatitis B viral sequences. The integration of RSV proviral sequences is, therefore, 'isopycnic' (i.e., it takes place in host genome sequences which compositionally match the viral sequences) and compartmentalized (i.e., it occurs in a small compositional compartment of the host genome). The hamster genome compartment hosting RSV sequences precisely corresponds to a compartment of the human genome which is the most active in both transcription and recombination. The notion of a compartmentalized, isopycnic integration of RSV proviral sequences fits, therefore, with the viral integration into transcriptionally active and recombinogenic regions of the host genome observed by other authors, but is broader, in that it includes, in addition, the requirement for a compositional match between host genome sequences and expressed viral sequences.

Animals↗

Analysis of the compositional biases in Plasmodium falciparum genome and proteome using Arabidopsis thaliana as a reference.

Comparative genomic analysis of the malaria causative agent, Plasmodium falciparum, with other eukaryotes for which the complete genome is available, revealed that the genome from P. falciparum was more similar to the genome of a plant, Arabidopsis thaliana, than to other non-apicomplexan taxa. Plant-like sequences are thought to result from horizontal gene transfers after a secondary endosymbiosis involving an algal ancestor. The use of the A. thaliana genome and proteome as a reference gives an opportunity to refine our understanding of the extreme compositional bias in the P. falciparum genome that leads to a proteome-wide amino acid bias. A set of pairs of non-redundant protein homologues was selected owing to rigorous genome-wide sequence comparison methods. The introduction of A. thaliana as a reference was a mean to weight the magnitude of the protein evolutionary divergence in P. falciparum. The correlation of the amino acid proportions with evolutionary time supports the hypothesis that amino acids encoded by GC-rich codons are directionally substituted into amino acids encoded by AT-rich codons in the P. falciparum proteome. The long-term deviation of codons in malarial sequences appears as a possible consequence of a genome-wide tri-nucleotidic signature imprinting. Additionally, this study suggests possible working guidelines to improve the accuracy of P. falciparum sequence comparisons, for homology searches and phylogenetic studies.

AT Rich Sequence↗

Chemometrical characterization of four italian rice varieties based on genetic and chemical analyses.

This paper describes a method for achieving qualitative identification of four rice varieties from two different Italian regions. To estimate the presence of genetic diversity among the four rice varieties, we used polymerase chain reaction-randomly amplified polymorphic DNA (PCR-RAPD) markers, and to elucidate whether a relationship exists between the ground and the specific characteristics of the product, we studied proximate composition, fatty acid composition, mineral content, and total antioxidant capacity. Using principal component analysis on genomic and compositional data, we were able to classify rice samples according to their variety and their district of production. This work also examined the discrimination ability of different parameters. It was found that genomic data give the best discrimination based on varieties, indicating that RAPD assays could be useful in discriminating among closely related species, while compositional analyses do not depend on the genetic characters only but are related to the production area.

Antioxidants↗

Five novel Paenibacillus species from the plant rhizosphere: Paenibacillus corni sp. nov., Paenibacillus vaccinii sp. nov., Paenibacillus ericacearum sp. nov., Paenibacillus polytrichii sp. nov., and Paenibacillus artemisiae sp. nov.

Bacterial strains were isolated from different locations and screened for plant growth promoting (PGP) features. Comparative analyses of the 16S gene sequences of 5 of the strains indicated taxonomic relatedness within the genus Paenibacillus. A polyphasic taxonomic approach was employed to study the strains in detail to clarify their phylogenetic position. Genome-based analyses, including digital DNA-DNA hybridization (dDDH) and average nucleotide identity (ANI), revealed values consistently below the accepted species delineation thresholds when compared with closest relatives of each strain. Additionally, the strains showed clear differences in their physiological and biochemical profiles to the type strains of the closest related species. A notably diverse set of genes potentially involved in plant growth promotion was detected in all strains. With respect to the analyses reported here, the following new names are proposed: Paenibacillus corni sp. nov., with AK-167T as the type strain (= LMG 34403T = DSM 121689T); Paenibacillus vaccinii sp. nov., with AK-264T as the type strain (= LMG 34404T = DSM 121714T); Paenibacillus ericacearum sp. nov., with AK-265T as the type strain (= CCM 6913T = LMG 34405T = DSM 121715T); Paenibacillus polytrichii sp. nov., with AK-286T as the type strain (= CCM 9614T = LMG 34406T = DSM 121716T); and Paenibacillus artemisiae sp. nov., with DT-106T as the type strain (= LMG 34409T = CCM 9610T = DSM 121690T).

Paenibacillus↗

Molecular cytogenetics of Alstroemeria: identification of parental genomes in interspecific hybrids and characterization of repetitive DNA families in constitutive heterochromatin.

The genus Alstroemeria consists of diploid (2n = 2x = 16) species originating mainly from Chile and Brazil. Most cultivars are triploid or tetraploid interspecific hybrids. C-banding of eight species revealed obvious differentiation of constitutive heterochromatin within the genus. The present study focused on the molecular (cyto)genetic background of this differentiation. Genomic slot-blot analysis demonstrated strong conservation of major parts of the genomes among six species. The chromosomes of A. aurea and A. ligtu, species with pronounced interstitial C-bands, were found to contain large amounts of highly repetitive and species-specific DNA. The variation in size, number and intensity of strongly probed bands of major repetitive DNA families observed in genomic Southern blots of Sau3A, HaeIII, and MseI digests indicated a strong correlation between variation in genomic DNA composition and different C-banding patterns among Alstroemeria species. Genomic in situ hybridization (GISH) revealed a clear distinction between parental chromosomes in the hybrids between Chilean and Brazilian species and also between Chilean species, as long as at least one of the parental species possessed prominent C-banding. Regarding the latter, discriminative hybridization resulted from highly repetitive species specific DNA in the heterochromatic chromosome regions of A. aurea and A. ligtu, and caused GISH banding patterns that coincided with the C-banding patterns.

Blotting, Southern↗

A computational approach for identifying pathogenicity islands in prokaryotic genomes.

BACKGROUND: Pathogenicity islands (PAIs), distinct genomic segments of pathogens encoding virulence factors, represent a subgroup of genomic islands (GIs) that have been acquired by horizontal gene transfer event. Up to now, computational approaches for identifying PAIs have been focused on the detection of genomic regions which only differ from the rest of the genome in their base composition and codon usage. These approaches often lead to the identification of genomic islands, rather than PAIs. RESULTS: We present a computational method for detecting potential PAIs in complete prokaryotic genomes by combining sequence similarities and abnormalities in genomic composition. We first collected 207 GenBank accessions containing either part or all of the reported PAI loci. In sequenced genomes, strips of PAI-homologs were defined based on the proximity of the homologs of genes in the same PAI accession. An algorithm reminiscent of sequence-assembly procedure was then devised to merge overlapping or adjacent genomic strips into a large genomic region. Among the defined genomic regions, PAI-like regions were identified by the presence of homolog(s) of virulence genes. Also, GIs were postulated by calculating G+C content anomalies and codon usage bias. Of 148 prokaryotic genomes examined, 23 pathogenic and 6 non-pathogenic bacteria contained 77 candidate PAIs that partly or entirely overlap GIs. CONCLUSION: Supporting the validity of our method, included in the list of candidate PAIs were thirty four PAIs previously identified from genome sequencing papers. Furthermore, in some instances, our method was able to detect entire PAIs for those only partial sequences are available. Our method was proven to be an efficient method for demarcating the potential PAIs in our study. Also, the function(s) and origin(s) of a candidate PAI can be inferred by investigating the PAI queries comprising it. Identification and analysis of potential PAIs in prokaryotic genomes will broaden our knowledge on the structure and properties of PAIs and the evolution of bacterial pathogenesis.

Bacteria↗