Genomic GC Research Articles

Loss of genes for DNA recombination and repair in the reductive genome evolution of thioautotrophic symbionts of Calyptogena clams

BackgroundTwo Calyptogena clam intracellular obligate symbionts, Ca. Vesicomyosocius okutanii (Vok; C. okutanii symbiont) and Ca. Ruthia magnifica (Rma; C. magnifica symbiont), have small genomes (1.02 and 1.16 Mb, respectively) with low G+C contents (31.6% and 34.0%, respectively) and are thought to be in an ongoing stage of reductive genome evolution (RGE). They lack recA and some genes for DNA repair, including mutY. The loss of recA and mutY is thought to contribute to the stabilization of their genome architectures and GC bias, respectively. To understand how these genes were lost from the symbiont genomes, we surveyed these genes in the genomes from 10 other Calyptogena clam symbionts using the polymerase chain reaction (PCR).ResultsPhylogenetic trees reconstructed using concatenated 16S and 23S rRNA gene sequences showed that the symbionts formed two clades, clade I (symbionts of C. kawamurai, C. laubieri, C. kilmeri, C. okutanii and C. soyoae) and clade II (those of C. pacifica, C. fausta, C. nautilei, C. stearnsii, C. magnifica, C. fossajaponica and C. phaseoliformis). recA was detected by PCR with consensus primers for recA in the symbiont of C. phaseoliformis. A detailed homology search revealed a remnant recA in the Rma genome. Using PCR with a newly designed primer set, intact recA or its remnant was detected in clade II symbionts. In clade I symbionts, the recA coding region was found to be mostly deleted.In the Rma genome, a pseudogene of mutY was found. Using PCR with newly designed primer sets, mutY was not found in clade I symbionts but was found in clade II symbionts. The G+C content of 16S and 23S rRNA genes in symbionts lacking mutY was significantly lower than in those with mutY.ConclusionsThe extant Calyptogena clam symbionts in clade II were shown to have recA and mutY or their remnants, while those in clade I did not. The present results indicate that the extant symbionts are losing these genes in RGE, and that the loss of mutY contributed to the GC bias of the genomes during their evolution.

A codon substitution model that incorporates the effect of the GC contents, the gene density and the density of CpG islands of human chromosomes

BackgroundDeveloping a model for codon substitutions is essential for the analyses of protein sequences. Recent studies on the mutation rates in the non-coding regions have shown that CpG mutation rates in the human genome are negatively correlated to the local GC content and to the densities of functional elements. This study aimed at understanding the effect of genomic features, namely, GC content, gene density, and frequency of CpG islands, on the rates of codon substitution in human chromosomes.ResultsCodon substitution rates of CpG to TpG mutations, TpG to CpG mutations, and non-CpG transitions and transversions in humans were estimated by comparing the coding regions of thousands of human and chimpanzee genes and inferring their ancestral sequences by using macaque genes as the outgroup. Since the genomic features are depending on each other, partial regression coefficients of these features were obtained.ConclusionThe substitution rates of codons depend on gene densities of the chromosomes. Transcription-associated mutation is one such pressure. On the basis of these results, a model of codon substitutions that incorporates the effect of genomic features on codon substitution in human chromosomes was developed.

Optimal Codon Identities in Bacteria: Implications from the Conflicting Results of Two Different Methods

A correlation method was recently adopted to identify selection-favored ‘optimal’ codons from 675 bacterial genomes. Surprisingly, the identities of these optimal codons were found to track the bacterial GC content, leading to a conclusion that selection would generally shape the codon usages to the same direction as the overall mutation does. Raising several concerns, here we report a thorough comparative study on 203 well-selected bacterial species, which strongly suggest that the previous conclusion is likely an illusion. Firstly, the previous study did not preclude species that are suffering weak or no selection pressures on their codon usages. For these species, as showed in this study, the optimal codon identities are prone to be incorrect and follow GC content. Secondly, the previous study only adopted the correlation method, without considering another method to test the reliability of inferred optimal codons. Actually by definition, optimal codons can also be identified by simply comparing codon usages between high- and low-expression genes. After using both methods to identify optimal codons for the selected species, we obtained highly conflicting results, suggesting at least one method is misleading. Further we found a critical problem of correlation method at the step of calculating gene bias level. Due to a failure of accurately defining the background mutation, the problem would result in wrong optimal codon identities. In other words, partial mutational effects on codon choices were mistakenly regarded as selective influences, leading to incorrect and biased optimal codon identities. Finally, considering the translational dynamics, optimal codons identified by comparison method can be well-explained by tRNA compositions, whereas optimal codons identified by correlation method can not be. For all above reasons, we conclude that real optimal codons actually do not track the genomic GC content, and correlation method is misleading in identifying optimal codons and better be avoided.

Identification of TTA codon containing genes in Frankia and exploration of the role of tRNA in regulating these genes

The TTA codon, one of the six available codons for the amino acid leucine, is the rarest codon among the high GC genomes of Actinobacteria including Frankia. This codon has been implicated in various regulatory mechanisms involving secondary metabolism and morphological development. TTA-mediated gene regulation is well documented in Streptomyces coelicolor, but that role has not been investigated in other Actinobacteria including Frankia. Among the various Actinomycetes with a GC content of more than 70%, Frankia genomes had the highest percentages of TTA-containing genes ranging from 5.2 to 10.68% of the genome. In contrast, TTA-bearing genes comprised 1.7, 3.4 and 4.1% of the Streptomyces coelicolor, S. avermitilis and Nocardia farcinia genomes, respectively. We analyzed their functional role, evolutionary significance, horizontal acquisition and the codon-anticodon interaction. The TTA-bearing genes were found to be well represented in metabolic genes involved in amino acid transport and secondary metabolism. A reciprocal Blast search reveal that many of the TTA-bearing genes have orthologs in the other Frankia genomes, and some of these orthologous genes also have a TTA codon in them. The gene expression level of TTA-containing genes was estimated by the use of the codon adaption index (CAI), and the CAI values were found to have a positive correlation with the GC3 (GC content at the 3rd codon position). A full-atomic 3D model of the leucine tRNA recognizing the TTA (UUA) codon was generated and utilized for in silico docking to determine binding affinity in codon-anticodon interaction. We found a proficient codon-anticodon interaction for this codon which is perhaps why so many genes hold on to this rare codon without compromising their translational efficiency.

Genome size, GC percentage and 5mC level in the Indonesian coelacanth Latimeria menadoensis

The living fossil Latimeria menadoensis is important to understand sarcopterygian evolution. To gain further insights into this fish species we studied its genome size, GC% and 5mC level. The genome size and the GC% of the Indonesian coelacanth seem to be very similar to those of the African coelacanth. Moreover the GC%, the CpG frequency and the 5mC level of L. menadoensis are more similar to those of fish and amphibians than to those of mammals, birds and reptiles and this is in line with the hypothesis that two different DNA methylation and CpG shortage equilibria arose during vertebrate evolution. Our results suggest that the genome of L. menadoensis has remained unchanged for several million years, maybe since the origin of the lineage which from lobe-finned fish led to tetrapods. These data fit a conservative evolutionary landscape and suggest that the genome of the extant crossopterygians may be a sort of evolutionarily frozen genome.

Analysis of synonymous codon usage bias, nucleotide and amino acid composition in 13 species of Flaviviridae

Flaviviridae are viruses that cause several diseases including Dengue fever, Japanese encephalitis, Murray Valley encephalitis, Tick-borne encephalitis, West Nile encephalitis, Yellow fever and Hepatitis C Virus Infection. Members of this family have monopartite, linear, single-stranded RNA genomes of positive polarity, 9.6-12.3 kb in length. Here, we have analyzed the codon usage of 13 species of this family by using gene infinity pakage. Base and amino acid composition analysis was also performed by CAIcal server and PseAAC web-sever respectively. The results showed that the highest number of A, G and C bases were seen in the RNA genome of Dengue virus 2, Tick borne encephalitis virus and Hepatitis C virus respectively. Although the number of U base used in RNA genomes was very close, the highest U nucleotide amount was 23.77% in Wesselsbron virus. The lowest number of C, G, U and A bases was seen in Bovine viral diarrhea virus, Dengue virus 2, Tick borne encephalitis virus and Hepatitis C virus respectively. In this study, it is found that the complete genome of classical swine fever virus has a lower GC content and genome of Tick borne encephalitis virus, Hepatitis C virus and Powassan virus have a higher GC content than other species. We also classified the amino acids as rare (Phenylalanine, Cysteine, Histidine, Methionine, Asparagine, Glutamine, Tryptophan and Tyrosine), frequent (Alanine, Glutamic acid, Glycine, Leucine, Valine and Threonine), and intermediate (all others). The highest and the lowest number of preferred codons exist in Wesselsbron virus and West Nile virus, respectively.

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.

Reduced stability of mRNA secondary structure near the translation-initiation site in dsDNA viruses

BackgroundRecent studies have demonstrated a selection pressure for reduced mRNA secondary-structure stability near the start codon of coding sequences. This selection pressure can be observed in bacteria, archaea, and eukaryotes, and is likely caused by the requirement of efficient translation initiation in cellular organism.ResultsHere, we surveyed the complete genomes of 650 dsDNA virus strains for signals of reduced stability of mRNA secondary structure near the start codon. Our analysis included viruses infecting eukaryotic, prokaryotic, and archaeic hosts. We found that many viruses showed evidence for reduced mRNA secondary-structure stability near the start codon. The effect was most pronounced in viruses infecting prokaryotes, but was also observed in viruses infecting eukaryotes and archaea. The reduction in stability generally increased with increasing genomic GC content. For bacteriophage, the reduction was correlated with a corresponding reduction of stability in the phage hosts.ConclusionsWe conclude that reduced stability of the mRNA secondary structure near the start codon is a common feature for dsDNA viruses, likely driven by the same selective pressures that cause it in cellular organisms.

Directed networks reveal genomic barriers and DNA repair bypasses to lateral gene transfer among prokaryotes

Lateral gene transfer (LGT) plays a major role in prokaryote evolution with only a few genes that are resistant to it; yet the nature and magnitude of barriers to lateral transfer are still debated. Here, we implement directed networks to investigate donor-recipient events of recent lateral gene transfer among 657 sequenced prokaryote genomes. For 2,129,548 genes investigated, we detected 446,854 recent lateral gene transfer events through nucleotide pattern analysis. Among these, donor-recipient relationships could be specified through phylogenetic reconstruction for 7% of the pairs, yielding 32,028 polarized recent gene acquisition events, which constitute the edges of our directed networks. We find that the frequency of recent LGT is linearly correlated both with genome sequence similarity and with proteome similarity of donor-recipient pairs. Genome sequence similarity accounts for 25% of the variation in gene-transfer frequency, with proteome similarity adding only 1% to the variability explained. The range of donor-recipient GC content similarity within the network is extremely narrow, with 86% of the LGTs occurring between donor-recipient pairs having ≤5% difference in GC content. Hence, genome sequence similarity and GC content similarity are strong barriers to LGT in prokaryotes. But they are not insurmountable, as we detected 1530 recent transfers between distantly related genomes. The directed network revealed that recipient genomes of distant transfers encode proteins of nonhomologous end-joining (NHEJ; a DNA repair mechanism) far more frequently than the recipient lacking that mechanism. This implicates NHEJ in genes spread across distantly related prokaryotes through bypassing the donor-recipient sequence similarity barrier.

Comparative Genomics Evidence That Only Protein Toxins are Tagging Bad Bugs

The term toxin was introduced by Roux and Yersin and describes macromolecular substances that, when produced during infection or when introduced parenterally or orally, cause an impairment of physiological functions that lead to disease or to the death of the infected organism. Long after the discovery of toxins, early genetic studies on bacterial virulence demonstrated that removing a certain number of genes from pathogenic bacteria decreases their capacity to infect hosts. Each of the removed factors was therefore referred to as a “virulence factor,” and it was speculated that non-pathogenic bacteria lack such supplementary factors. However, many recent comparative studies demonstrate that the specialization of bacteria to eukaryotic hosts is associated with massive gene loss. We recently demonstrated that the only features that seem to characterize 12 epidemic bacteria are toxin–antitoxin (TA) modules, which are addiction molecules in host bacteria. In this study, we investigated if protein toxins are indeed the only molecules specific to pathogenic bacteria by comparing 14 epidemic bacterial killers (“bad bugs”) with their 14 closest non-epidemic relatives (“controls”). We found protein toxins in significantly more elevated numbers in all of the “bad bugs.” For the first time, statistical principal components analysis, including genome size, GC%, TA modules, restriction enzymes, and toxins, revealed that toxins are the only proteins other than TA modules that are correlated with the pathogenic character of bacteria. Moreover, intracellular toxins appear to be more correlated with the pathogenic character of bacteria than secreted toxins. In conclusion, we hypothesize that the only truly identifiable phenomena, witnessing the convergent evolution of the most pathogenic bacteria for humans are the loss of metabolic activities, i.e., the outcome of the loss of regulatory and transcription factors and the presence of protein toxins, alone, or coupled as TA modules.

S23 A comparative study of polymicrobial diversity in CF and non-CF bronchiectasis

Introduction and ObjectivesBronchiectasis is a dilation of the peripheral airways with subsequent mucus hypersecretion. Bronchiectasis can be either genetic, that is cystic fibrosis (CF) or described as non-CF bronchiectasis (eg,...

Avoidance of Long Mononucleotide Repeats in Codon Pair Usage

Protein is an essential component for life, and its synthesis is mediated by codons in any organisms on earth. While some codons encode the same amino acid, their usage is often highly biased. There are many factors that can cause the bias, but a potential effect of mononucleotide repeats, which are known to be highly mutable, on codon usage and codon pair preference is largely unknown. In this study we performed a genomic survey on the relationship between mononucleotide repeats and codon pair bias in 53 bacteria, 68 archaea, and 13 eukaryotes. By distinguishing the codon pair bias from the codon usage bias, four general patterns were revealed: strong avoidance of five or six mononucleotide repeats in codon pairs; lower observed/expected (o/e) ratio for codon pairs with C or G repeats (C/G pairs) than that with A or T repeats (A/T pairs); a negative correlation between genomic GC contents and the o/e ratios, particularly for C/G pairs; and avoidance of C/G pairs in highly conserved genes. These results support natural selection against long mononucleotide repeats, which could induce frameshift mutations in coding sequences. The fact that these patterns are found in all kingdoms of life suggests that this is a general phenomenon in living organisms. Thus, long mononucleotide repeats may play an important role in base composition and genetic stability of a gene and gene functions.

A General Model of Codon Bias Due to GC Mutational Bias

BackgroundIn spite of extensive research on the effect of mutation and selection on codon usage, a general model of codon usage bias due to mutational bias has been lacking. Because most amino acids allow synonymous GC content changing substitutions in the third codon position, the overall GC bias of a genome or genomic region is highly correlated with GC3, a measure of third position GC content. For individual amino acids as well, G/C ending codons usage generally increases with increasing GC bias and decreases with increasing AT bias. Arginine and leucine, amino acids that allow GC-changing synonymous substitutions in the first and third codon positions, have codons which may be expected to show different usage patterns.Principal FindingsIn analyzing codon usage bias in hundreds of prokaryotic and plant genomes and in human genes, we find that two G-ending codons, AGG (arginine) and TTG (leucine), unlike all other G/C-ending codons, show overall usage that decreases with increasing GC bias, contrary to the usual expectation that G/C-ending codon usage should increase with increasing genomic GC bias. Moreover, the usage of some codons appears nonlinear, even nonmonotone, as a function of GC bias. To explain these observations, we propose a continuous-time Markov chain model of GC-biased synonymous substitution. This model correctly predicts the qualitative usage patterns of all codons, including nonlinear codon usage in isoleucine, arginine and leucine. The model accounts for 72%, 64% and 52% of the observed variability of codon usage in prokaryotes, plants and human respectively. When codons are grouped based on common GC content, 87%, 80% and 68% of the variation in usage is explained for prokaryotes, plants and human respectively.ConclusionsThe model clarifies the sometimes-counterintuitive effects that GC mutational bias can have on codon usage, quantifies the influence of GC mutational bias and provides a natural null model relative to which other influences on codon bias may be measured.

Complex Mutation and Weak Selection together Determined the Codon Usage Bias in Bryophyte Mitochondrial Genomes

Mutation and selection are two major forces causing codon usage biases. How these two forces influence the codon usages in green plant mitochondrial genomes has not been well investigated. In the present study, we surveyed five bryophyte mitochondrial genomes to reveal their codon usage patterns as well as the determining forces. Three interesting findings were made. First, comparing to Chara vulgaris, an algal species sister to all extant land plants, bryophytes have more G, C-ending codon usages in their mitochondrial genes. This is consistent with the generally higher genomic GC content in bryophyte mitochondria, suggesting an increased mutational pressure toward GC. Second, as indicated by Wright's Nc-GC3s plot, mutation, not selection, is the major force affecting codon usages of bryophyte mitochondrial genes. However, the real mutational dynamics seem very complex. Context-dependent analysis indicated that nucleotide at the 2nd codon position would slightly affect synonymous codon choices. Finally, in bryophyte mitochondria, tRNA genes would apply a weak selection force to fine-tune the synonymous codon frequencies, as revealed by data of Ser4-Pro-Thr-Val families. In summary, complex mutation and weak selection together determined the codon usages in bryophyte mitochondrial genomes.

Pyrene effects on methanotroph community and methane oxidation rate, tested by dose–response experiment and resistance and resilience experiment

Methanotrophs are an important group of bacteria that can metabolize methane. Polycyclic aromatic hydrocarbons (PAHs) are widespread contaminants and present in all ecosystems. We hypothesize that PAHs may affect methanotrophs and methane oxidation. In this study, we assessed dose–response curves for the inhibition of methane oxidation and methanotrophs diversity by pyrene, and resistance and resilience of soil methane oxidation rate and methanotrophs composition in response to pyrene contamination. Methanotrophic bacterial diversity was determined by terminal restriction fragment length polymorphism analysis of the pmoA gene, while methanotrophs composition was assessed by cloning and sequencing of the pmoA gene. Sequences with 98% or more identity were considered as the same operational taxonomic unit (OTU). The pyrene concentration at which methane oxidation decreased by 50%, as compared to the non-spiked control soil (EC50), was determined. Both EC50 concentration and 500 mg kg−1of pyrene were applied as disturbances in the resistance and resilience experiment. Resistance and resilience were determined 1 and 40 days, respectively, after spiking pyrene. Methane oxidation rate decreased with increasing pyrene concentrations and the EC50 value was 22.0 mg kg−1. Methanotrophic bacterial community diversity decreased in 200 and 500 mg kg−1 pyrene treatments, and methanotroph community structure shifts occurred in 100, 200, and 500 mg kg−1 pyrene treatments. Methane oxidation was neither resistant nor resilient to pyrene disturbance. However, methane oxidation of soil with 22.0 mg kg−1 pyrene disturbance recovered to some extent after 40 days incubation. There were five OTUs identified in the control samples, but the number of OTUs increased 1 day after the addition of 22 mg kg−1 of pyrene. It suggests that a low level of disturbance may increase diversity. Forty days after 500 mg kg−1 of pyrene disturbance, only one OTU belonging to Methylocaldum was detected. The resilience of Methylocaldum to a high level of pyrene could be due to the high genomic GC content, which reduces the frequency of insertion by pyrene into the DNA duplex. In addition, we found that the number of OTUs decreased in all treatments after the 40-day incubation. Methane oxidation activity was more sensitive to pyrene than the methanotroph community structure, but could recover under a low level of pyrene. Significant decrease in diversity and shift in species composition occurred only after severe perturbation. A low level of disturbance could increase biodiversity, while a high level of disturbance could decrease it.

Evidence That Mutation Is Universally Biased towards AT in Bacteria

Mutation is the engine that drives evolution and adaptation forward in that it generates the variation on which natural selection acts. Mutation is a random process that nevertheless occurs according to certain biases. Elucidating mutational biases and the way they vary across species and within genomes is crucial to understanding evolution and adaptation. Here we demonstrate that clonal pathogens that evolve under severely relaxed selection are uniquely suitable for studying mutational biases in bacteria. We estimate mutational patterns using sequence datasets from five such clonal pathogens belonging to four diverse bacterial clades that span most of the range of genomic nucleotide content. We demonstrate that across different types of sites and in all four clades mutation is consistently biased towards AT. This is true even in clades that have high genomic GC content. In all studied cases the mutational bias towards AT is primarily due to the high rate of C/G to T/A transitions. These results suggest that bacterial mutational biases are far less variable than previously thought. They further demonstrate that variation in nucleotide content cannot stem entirely from variation in mutational biases and that natural selection and/or a natural selection-like process such as biased gene conversion strongly affect nucleotide content.

Mutational Patterns Cannot Explain Genome Composition: Are There Any Neutral Sites in the Genomes of Bacteria?

The dissection of natural selection and neutral processes remains a core problem for molecular evolutionary biologists. One of the longest-standing controversies con- cerns the causes of genome base compo- sition, notably the variation in the sum of G and C content (GC) between 17% and 75% in bacteria. Sueoka argued very early that GC content variation is driven by mutational biases and, as this bias affects non-synonymous sites, protein evolution might also be largely driven by neutral forces [1]. Later, Muto and Osawa showed that 4-fold degenerate positions in codons exhibit the largest range of GC content (GC4), whereas the non-degener- ate second codon positions (GC2) exhibit the narrowest (Figure 1) [2]. As the footprint of genomic GC variation is most evident in those sites under the least selective constraint for amino acid com- position, it has become accepted that GC content variation is primarily driven by neutral mutational effects and has little adaptive relevance [2].

Extreme Reconfiguration of Plastid Genomes in the Angiosperm Family Geraniaceae: Rearrangements, Repeats, and Codon Usage

Geraniaceae plastid genomes (plastomes) have experienced a remarkable number of genomic changes. The plastomes of Erodium texanum, Geranium palmatum, and Monsonia speciosa were sequenced and compared with other rosids and the previously published Pelargonium hortorum plastome. Geraniaceae plastomes were found to be highly variable in size, gene content and order, repetitive DNA, and codon usage. Several unique plastome rearrangements include the disruption of two highly conserved operons (S10 and rps2-atpA), and the inverted repeat (IR) region in M. speciosa does not contain all genes in the ribosomal RNA operon. The sequence of M. speciosa is unusually small (128,787 bp); among angiosperm plastomes sequenced to date, only those of nonphotosynthetic species and those that have lost one IR copy are smaller. In contrast, the plastome of P. hortorum is the largest, at 217,942 bp. These genomes have experienced numerous gene and intron losses and partial and complete gene duplications. Some of the losses are shared throughout the family (e.g., trnT-GGU and the introns of rps16 and rpl16); however, other losses are homoplasious (e.g., trnG-UCC intron in G. palmatum and M. speciosa). IR length is also highly variable. The IR in P. hortorum was previously shown to be greatly expanded to 76 kb, and the IR is lost in E. texanum and reduced in G. palmatum (11 kb) and M. speciosa (7 kb). Geraniaceae plastomes contain a high frequency of large repeats (>100 bp) relative to other rosids. Within each plastome, repeats are often located at rearrangement end points and many repeats shared among the four Geraniaceae flank rearrangement end points. GC content is elevated in the genomes and also in coding regions relative to other rosids. Codon usage per amino acid and GC content at third position sites are significantly different for Geraniaceae protein-coding sequences relative to other rosids. Our findings suggest that relaxed selection and/or mutational biases lead to increased GC content, and this in turn altered codon usage. We propose that increases in genomic rearrangements, repetitive DNA, nucleotide substitutions, and GC content may be caused by relaxed selection resulting from improper DNA repair.

Effect of carbon source addition on toluene biodegradation by an Escherichia coli DH5α transconjugant harboring the TOL plasmid

Horizontal gene transfer (HGT) of plasmids is a naturally occurring phenomenon which could be manipulated for bioremediation applications. Specifically, HGT may prove useful to enhance bioremediation through genetic bioaugmentation. However, because the transfer of a plasmid between donor and recipient cells does not always result in useful functional phenotypes, the conditions under which HGT events result in enhanced degradative capabilities must first be elucidated. The objective of this study was to determine if the addition of alternate carbon substrates could improve toluene degradation in Escherichia coli DH5alpha transconjugants. The addition of glucose (0.5-5 g/L) and Luria-Bertani (LB) broth (10-100%) resulted in enhanced toluene degradation. On average, the toluene degradation rate increased 14.1 (+/-2.1)-fold in the presence of glucose while the maximum increase was 18.4 (+/-1.7)-fold in the presence of 25% LB broth. Gene expression of xyl genes was upregulated in the presence of glucose but not LB broth, which implies different inducing mechanisms by the two types of alternate carbon source. The increased toluene degradation by the addition of glucose or LB broth was persistent over the short-term, suggesting the pulse amendment of an alternative carbon source may be helpful in bioremediation. While the effects of recipient genome GC content and other conditions must still be examined, our results suggest that changes in environmental conditions such as alternate substrate availability may significantly improve the functionality of the transferred phenotypes in HGT and therefore may be an important parameter for genetic bioaugmentation optimization.

Metabolic rate and genomic GC. What we can learn from teleost fish

Teleosts are a highly diverse group of animals occupying all kind of aquatic environment. Data on routine mass specific metabolic rate were re-examined correcting them for the Boltzmann's factor. Teleostean fish were grouped in five broad groups, corresponding to major environmental classifications: polar, temperate, sub-tropical, tropical and deep-water. The specific routine metabolic rate, temperature-corrected using the Boltzmann's factor (MR), and the average base composition of genomes (GC%) were calculated in each group. Fish of the polar habitat showed the highest MR. Temperate fish displayed a significantly higher MR than tropical fish, which had the lowest average value. These results were apparently in agreement with the cold adaptation hypothesis. In contrast with this hypothesis, however, the MR of fish living in deep-water environment turned out to be not significantly different from that of fish living in tropical habitats. Most probably, the amount of oxygen dissolved in the water directly affects MR adaptation. Regarding the different habitats, the genomic GC levels showed a decreasing trend similar to that of MR. Indeed, both polar and temperate fish showed a GC level significantly higher than that of both sub-tropical and tropical fish. Plotting the genomic GC levels versus the MR a significant positive correlation was found, supporting the hypothesis that metabolic rate can explain not only the compositional transition mode (e.g. amphibian/mammals), but also the compositional shifting mode (e.g. fish/fish) of evolution observed for vertebrate genomes.