GC content and genome length in Chargaff compliant genomes

Musto et al. [H. Musto, H. Naya, A. Zavala, H. Romero, F. Alvarez-Valin, G. Bernardi, Genomic GC level, optimal growth temperature, and genome size in prokaryotes, Biochem. Biophys. Res. Commun. 347 (2006) 1-3] recently reported a linear correlation between GC content and genome length. The regression model was heteroscedactic which suggested that the relationship might be more clearly defined. Alternative regression models (R²>0.95) were fitted to a set of over 900 sequences compliant with Chargaff’s second parity rule. The new models suggest that the relationship between GC content and genome length is more complex than was originally suggested. While similar models can be derived for non-Chargaff compliant genomes, their interpretation is likely to be more difficult.     

Genome features and GC content in prokaryotic genomes in connection with environmental evolution

The GC content and genome size are integral genomic characteristics limiting potential range of licenses (environments) of prokaryotic taxa. In silico, associations of these characteristics and taxa deviating from the general trend are revealed. Relationships with ecology and early prokaryotic evolution are discussed.     

A tailing genome walking method suitable for genomes with high local GC content

The tailing genome walking strategies are simple and efficient. However, they sometimes can be restricted due to the low stringency of homo-oligomeric primers. Here we modified their conventional tailing step by adding polythymidine and polyguanine to the target single-stranded DNA (ssDNA). The tailed ssDNA was then amplified exponentially with a specific primer in the known region and a primer comprising 5′ polycytosine and 3′ polyadenosine. The successful application of this novel method for identifying integration sites mediated by φC31 integrase in goat genome indicates that the method is more suitable for genomes with high complexity and local GC content.     

Detecting microsatellites within genomes: significant variation among algorithms

Background  

Microsatellites are short, tandemly-repeated DNA sequences which are widely distributed among genomes. Their structure, role and evolution can be analyzed based on exhaustive extraction from sequenced genomes. Several dedicated algorithms have been developed for this purpose. Here, we compared the detection efficiency of five of them (TRF, Mreps, Sputnik, STAR, and RepeatMasker).     

Measurements of genomic GC content in plant genomes with flow cytometry: a test for reliability

? Knowledge of the phylogenetic pattern and biological relevance of the base composition of large eukaryotic genomes (including those of plants) is poor. With the use of flow cytometry (FCM), the amount of available data on the guanine + cytosine (GC) content of plants has nearly doubled in the last decade. However, skepticism exists concerning the reliability of the method because of uncertainty in some input parameters. ? Here, we tested the reliability of FCM for estimating GC content by comparison with the biochemical method of DNA temperature melting analysis (TMA). We conducted measurements in 14 plant species with a maximum currently known GC content range (33.6-47.5% as measured by FCM). We also compared the estimations of the GC content by FCM with genomic sequences in 11 Oryza species. ? FCM and TMA data exhibited a high degree of correspondence which remained stable over the relatively wide range of binding lengths (3.39-4.09) assumed for the base-specific dye used. A high correlation was also observed between FCM results and the sequence data in Oryza, although the latter GC contents were consistently lower. ? Reliable estimates of the genomic base composition in plants by FCM are comparable with estimates obtained using other methods, and so wider application of FCM in future plant genomic research, although it would pose a challenge, would be supported by these findings.     

The evolutionary rate variation among genes of HOG-signaling pathway in yeast genomes

Background  

Responses to extracellular stress are required for microbes to survive in changing environments. Although the stress response mechanisms have been characterized extensively, the evolution of stress response pathway remains poorly understood. Here, we studied the evolution of High Osmolarity Glycerol (HOG) pathway, one of the important osmotic stress response pathways, across 10 yeast species and underpinned the evolutionary forces acting on the pathway evolution.     

Extensive variation in nuclear mitochondrial DNA content between the genomes of Phytophthora sojae and Phytophthora ramorum

Fragments of mitochondrial DNA (mtDNA) transferred to the nuclear genome are called nuclear mitochondrial DNAs (NUMTs). We report here a comparison of NUMT content between genomes from two species of the same genus. Analysis of the genomes of Phytophthora sojae and P. ramorum revealed large differences in the NUMT content of the two genomes: 16.27 x 10(-3) and 2.28 x 10(-3)% of each genome, respectively. Substantial differences also exist between the two species in the sizes of the NUMTs found in each genome, with ranges of 20 to 405 bp for P. sojae and 19 to 137 bp for P. ramorum. Furthermore, in P. sojae, fragments from the mitochondrial genes rns, rnl, coxl, and nad (various subunits) are found most frequently, whereas P. ramorum NUMTs most often originate from the cox3, rpsl4, nad4, and nad5 genes. The large differences in the presumptive mtDNA insertions suggest that the insertions occurred subsequent to the divergence of the two species, and this is supported by sequence comparisons among the NUMTs and the mtDNA sequences of the two species. P. sojae mtDNA sequences inserted in the nuclear genome appear to have been altered as a result of insertions, deletions, inversions, and translocations and provide insights into active mechanisms of sequence divergence in this plant pathogen. No clear examples were found of NUMTs forming functional nuclear genes or of NUMTs inserted into exons or introns of any nuclear gene.     

Patterns of molecular genetic variation among cat breeds

Genetic variation in cat breeds was assessed utilizing a panel of short tandem repeat (STR) loci genotyped in 38 cat breeds and 284 single-nucleotide polymorphisms (SNPs) genotyped in 24 breeds. Population structure in cat breeds generally reflects their recent ancestry and absence of strong breed barriers between some breeds. There is a wide range in the robustness of population definition, from breeds demonstrating high definition to breeds with as little as a third of their genetic variation partitioning into a single population. Utilizing the STRUCTURE algorithm, there was no clear demarcation of the number of population subdivisions; 16 breeds could not be resolved into independent populations, the consequence of outcrossing in established breeds to recently developed breeds with common ancestry. These 16 breeds were divided into 6 populations. Ninety-six percent of cats in a sample set of 1040 were correctly assigned to their classified breed or breed group/population. Average breed STR heterozygosities ranged from moderate (0.53; Havana, Korat) to high (0.85; Norwegian Forest Cat, Manx). Most of the variation in cat breeds was observed within a breed population (83.7%), versus 16.3% of the variation observed between populations. The hierarchical relationships of cat breeds is poorly defined as demonstrated by phylogenetic trees generated from both STR and SNP data, though phylogeographic grouping of breeds derived completely or in part from Southeast Asian ancestors was apparent.     

Across bacterial phyla, distantly-related genomes with similar genomic GC content have similar patterns of amino acid usage

The GC content of bacterial genomes ranges from 16% to 75% and wide ranges of genomic GC content are observed within many bacterial phyla, including both gram negative and gram positive phyla. Thus, divergent genomic GC content has evolved repeatedly in widely separated bacterial taxa. Since genomic GC content influences codon usage, we examined codon usage patterns and predicted protein amino acid content as a function of genomic GC content within eight different phyla or classes of bacteria. We found that similar patterns of codon usage and protein amino acid content have evolved independently in all eight groups of bacteria. For example, in each group, use of amino acids encoded by GC-rich codons increased by approximately 1% for each 10% increase in genomic GC content, while the use of amino acids encoded by AT-rich codons decreased by a similar amount. This consistency within every phylum and class studied led us to conclude that GC content appears to be the primary determinant of the codon and amino acid usage patterns observed in bacterial genomes. These results also indicate that selection for translational efficiency of highly expressed genes is constrained by the genomic parameters associated with the GC content of the host genome.     

Patterns of molecular genetic variation among African elephant populations

The highly threatened African elephants have recently been subdivided into two species, Loxodonta africana (savannah or bush elephant) and L. cyclotis (forest elephant) based on morphological and molecular studies. A molecular genetic assessment of 16 microsatellite loci across 20 populations (189 individuals) affirms species level genetic differentiation and provides robust genotypic assessment of species affiliation. Savannah elephant populations show modest levels of phylogeographic subdivision based on composite microsatellite genotype, an indication of recent population isolation and restricted gene flow between locales. The savannah elephants show significantly lower genetic diversity than forest elephants, probably reflecting a founder effect in the recent history of the savannah species.     

Nuclear DNA content variation among Central European Koeleria taxa

BACKGROUND AND AIMS: Polyploidization plays an important role in the evolution of many plant genera, including Koeleria. The knowledge of ploidy, chromosome number and genome size may enable correct taxonomic treatment when other features are insufficient as in Koeleria. Therefore, these characteristics and their variability were determined for populations of six central European Koeleria taxa. METHODS: Chromosome number analysis was performed by squashing root meristems, and ploidy and 2C nuclear DNA content were estimated by flow cytometry. KEY RESULTS: Three diploids (K. glauca, K. macrantha var. macrantha and var. pseudoglauca), one tetraploid (K. macrantha var. majoriflora), one decaploid (K. pyramidata) and one dodecaploid (K. tristis) were found. The 2C nuclear DNA content of the diploids ranged from 4.85 to 5.20 pg. The 2C DNA contents of tetraploid, decaploid and dodecaploid taxa were 9.31 pg, 22.89 pg and 29.23 pg, respectively. The DNA content of polyploids within the K. macrantha aggregate (i.e. within K. macrantha and K. pyramidata) was smaller than the expected multiple of the diploid genome (K. macrantha var. macrantha). Geography-correlated variation of DNA content was found for some taxa. Czech populations of K. macrantha var. majoriflora had a 5.06% smaller genome than the Slovak ones. An isolated eastern Slovakian population of K. tristis revealed 8.04% less DNA than populations from central Slovakia. In central and north-west Bohemia, diploid and tetraploid cytotypes of K. macrantha were sympatric; east from this region diploid populations, and towards the west tetraploid populations were dominant. CONCLUSIONS: Remarkable intra-specific inter-population differences in nuclear DNA content were found between Bohemian and Pannonian populations of Koeleria macrantha var. majoriflora and between geographically isolated central and eastern Slovakian populations of K. tristis. These differences occur over a relatively small geographical scale.     

The molecular mechanism of phase variation of H. influenzae lipopolysaccharide

Multiple carbohydrate structures on the outer-membrane lipopolysaccharide (LPS) of the gram-negative pathogen H. influenzae undergo high frequency, reversible loss, indicative of phase variation. Characterization of a genetic locus, lic-1, responsible for expression of two LPS epitopes displaying phase variation, showed it to comprise four genes. The first gene mediates phase variation. At its 5' end, within the open reading frame, are a variable number of tandem repeats of the tetramer CAAT. By shifting upstream initiation codons in or out of frame, these 4 bp units create a translational switch. The phenotype of organisms corresponds to the number of 4 bp units. Phase variation between three levels of expression ( +, +, and -) of lic-1-derived epitopes is caused by differences in the three phases of translation of the 5' terminus of this gene. Phase variation also allows for selection of organisms displaying certain LPS epitopes in vivo.     

The generation of variation in bacterial genomes

In the context of a general overview of molecular mechanisms of microbial evolution, several genetic systems known to either promote or restrain the generation of genetic variations are discussed. Particular attention is given to functions involved in DNA rearrangements and DNA acquisition. Sporadic actions by a variety of such systems influencing genetic stability in either way result in a level of genetic plasticity which is tolerable to the overall wealth of microbial populations but which allows for evolutionary change needed for a steady adaptation to variable selective forces. Although these evolutionarily relevant biological functions are encoded by the genome of each individual, their actions are exerted to some degree randomly in rare individuals and are therefore seemingly nondeterministic and become manifest at the population level.