Codon usage and amino acid usage influence genes expression level

Highly expressed genes in any species differ in the usage frequency of synonymous codons. The relative recurrence of an event of the favored codon pair (amino acid pairs) varies between gene and genomes due to varying gene expression and different base composition. Here we propose a new measure for predicting the gene expression level, i.e., codon plus amino bias index (CABI). Our approach is based on the relative bias of the favored codon pair inclination among the genes, illustrated by analyzing the CABI score of the Medicago truncatula genes. CABI showed strong correlation with all other widely used measures (CAI, RCBS, SCUO) for gene expression analysis. Surprisingly, CABI outperforms all other measures by showing better correlation with the wet-lab data. This emphasizes the importance of the neighboring codons of the favored codon in a synonymous group while estimating the expression level of a gene.     

Enhanced electroporation in plant tissues via low frequency pulsed electric fields: influence of cytoplasmic streaming

Pulsed electric fields (PEF) are known to be effective at permeabilizing plant tissues. Prior research has demonstrated that lower pulse frequencies induce higher rates of permeabilization, but the underlying reason for this response is unclear. Intriguingly, recent microscopic observations with onion tissues have also revealed a correlation between PEF frequency and the subsequent speed of intracellular convective motion, i.e., cytoplasmic streaming. In this paper, we investigate the effect of cytoplasmic streaming on the efficacy of plant tissue permeabilization via PEF. Onion tissue samples were treated with Cytochalasin B, a known inhibitor of cytoplasmic streaming, and changes in cellular integrity and viability were measured over a wide range of frequencies and field strengths. We find that at low frequencies (f < 1 Hz), the absence of cytoplasmic streaming results in a 19% decrease in the conductivity disintegration index compared with control samples. Qualitatively, similar results were observed using a microscopic cell viability assay. The results suggest that at low frequencies convection plays a statistically significant role in distributing more conductive fluid throughout the tissue, making subsequent pulses more efficacious. The key practical implication is that PEF pretreatment at low frequency can increase the rate of tissue permeabilization in dehydration or extraction processes, and that the treatment will be most effective when cytoplasmic streaming is most active, i.e., with freshly prepared plant tissues.     

Optimality of codon usage in Escherichia coli due to load minimization

The canonical genetic code is known to be highly efficient in minimizing the effects of mistranslational errors and point mutations, an ability which in term is designated "load minimization". One parameter involved in calculating the load minimizing property of the genetic code is codon usage. In most bacteria, synonymous codons are not used with equal frequencies. Different factors have been proposed to contribute to codon usage preference. It has been shown that the codon preference is correlated with the composition of the tRNA pool. Selection for translational efficiency and translational accuracy both result in such a correlation. In this work, it is shown that codon usage bias in Escherichia coli works so as to minimize the consequences of translational errors, i.e. optimized for load minimization.     

Compositional correlation studies among the three different codon positions in 12 bacterial genomes

Compositional distributions in the three codon positions of the coding sequences of 12 fully sequenced prokaryotic genomes, which are publicly available, were investigated. A universal compositional correlation was observed in most of the genomes under investigation irrespective of their overall genomic GC contents. In all the genomes, the GC contents at the first codon positions are always greater than the overall GC contents of the genomes whereas the reverse is true in the case of second codon positions. GC contents at the third codon positions are higher than the overall genomic GC contents in high GC containing genomes, and the opposite situation was found in case of low GC genomes except for Helicobacter pylori. In high-GC rich genomes, the GC contents at the first + second codon positions are less than the GC contents at the third codon positions, and they are low in low-GC genomes except for Helicobacter pylori. The distributions of four bases at the three different positions were also investigated for all 12 organisms. It was observed that in high-GC genomes G is the most dominant base and in low-GC genomes A is the most dominant base in the first codon positions. But purine bases, i.e., (A + G), predominantly occur in the first codon position. In the second codon position, A is the most dominant base in most of the organisms and G is the least dominant base in all the organisms. There is no unique regular pattern of individual bases at the third codon positions; however, there are significant differences in the occurrences of (G + C) contents in the third codon positions among the different organisms. Calculations of dinucleotide frequencies in 12 different organisms indicate that in GC-rich genomes GG, GC, CC, and CG dinucleotides are the most dominant whereas the reverse is true in case of low-GC genomes. Biological implications of these results are discussed in this paper.     

Determination of eukaryotic protein coding regions using neural networks and information theory.

Our previous work applied neural network techniques to the problem of discriminating open reading frame (ORF) sequences taken from introns versus exons. The method counted the codon frequencies in an ORF of a specified length, and then used this codon frequency representation of DNA fragments to train a neural net (essentially a Perceptron with a sigmoidal, or "soft step function", output) to perform this discrimination. After training, the network was then applied to a disjoint "predict" set of data to assess accuracy. The resulting accuracy in our previous work was 98.4%, exceeding accuracies reported in the literature at that time for other algorithms. Here, we report even higher accuracies stemming from calculations of mutual information (a correlation measure) of spatially separated codons in exons, and in introns. Significant mutual information exists in exons, but not in introns, between adjacent codons. This suggests that dicodon frequencies of adjacent codons are important for intron/exon discrimination. We report that accuracies obtained using a neural net trained on the frequency of dicodons is significantly higher at smaller fragment lengths than even our original results using codon frequencies, which were already higher than simple statistical methods that also used codon frequencies. We also report accuracies obtained from including codon and dicodon statistics in all six reading frames, i.e. the three frames on the original and complement strand. Inclusion of six-frame statistics increases the accuracy still further. We also compare these neural net results to a Bayesian statistical prediction method that assumes independent codon frequencies in each position. The performance of the Bayesian scheme is poorer than any of the neural based schemes, however many methods reported in the literature either explicitly, or implicitly, use this method. Specifically, Bayesian prediction schemes based on codon frequencies achieve 90.9% accuracy on 90 codon ORFs, while our best neural net scheme reaches 99.4% accuracy on 60 codon ORFs. "Accuracy" is defined as the average of the exon and intron sensitivities. Achievement of sufficiently high accuracies on short fragment lengths can be useful in providing a computational means of finding coding regions in unannotated DNA sequences such as those arising from the mega-base sequencing efforts of the Human Genome Project. We caution that the high accuracies reported here do not represent a complete solution to the problem of identifying exons in "raw" base sequences. The accuracies are considerably lower from exons of small length, although still higher than accuracies reported in the literature for other methods. Short exon lengths are not uncommon.(ABSTRACT TRUNCATED AT 400 WORDS)     

Aminoacyl-tRNA(anticodon): codon adaptation in human and rabbit reticulocytes

A highly significant correlation was observed between the relative abundances of isoacceptor aminoacyl-tRNAs in human and rabbit reticulocytes and the frequency of their cognate codons in alpha and beta globin mRNAs from the respective tissue. The correlation coefficient (r value) for human reticulocytes was 0.78 and for rabbit reticulocytes was 0.88. These results provide strong evidence that the amounts of most isoacceptors in human and rabbit reticulocytes are adapted to requirements for translating their cognate codons in globin mRNA, i.e., there is an aa-tRNA(anticodon): codon adaptation in these tissues.     

Codon bias as a factor in regulating expression via translation rate in the human genome

We study the interrelations between tRNA gene copy numbers, gene expression levels and measures of codon bias in the human genome. First, we show that isoaccepting tRNA gene copy numbers correlate positively with expression-weighted frequencies of amino acids and codons. Using expression data of more than 14,000 human genes, we show a weak positive correlation between gene expression level and frequency of optimal codons (codons with highest tRNA gene copy number). Interestingly, contrary to non-mammalian eukaryotes, codon bias tends to be high in both highly expressed genes and lowly expressed genes. We suggest that selection may act on codon bias, not only to increase elongation rate by favoring optimal codons in highly expressed genes, but also to reduce elongation rate by favoring non-optimal codons in lowly expressed genes. We also show that the frequency of optimal codons is in positive correlation with estimates of protein biosynthetic cost, and suggest another possible action of selection on codon bias: preference of optimal codons as production cost rises, to reduce the rate of amino acid misincorporation. In the analyses of this work, we introduce a new measure of frequency of optimal codons (FOP'), which is unaffected by amino acid composition and is corrected for background nucleotide content; we also introduce a new method for computing expected codon frequencies, based on the dinucleotide composition of the introns and the non-coding regions surrounding a gene.     

Lactic acid bacteria as prime candidates for codon optimization

In species having a strong correlation of expressivity and codon bias it has been shown that heterologous expression can be optimized by changing codons of the introduced gene towards the set of codons that the host organism naturally uses in its highly expressed genes. Even though two lactic acid bacteria are fully sequenced, there are no reports on attempts of codon optimization in the literature. In this report it is demonstrated that codons used in highly expressed genes tend to differ from the codons in lowly expressed genes, and that there is a strong correlation of codon bias and empirical expressivity (codon adaptation index) in Lactococcus lactis and Lactobacillus plantarum. This strongly suggests that codon optimization strategies could be applied to expression systems with lactic acid bacteria as producer strains. A good example of a candidate for codon optimization is the mouse interleukin-2 gene, which in its natural form has an extremely low codon adaptation index for expression in Lc. lactis.     

Statistics of trinucleotides in coding sequences and evolution

The aim of this paper is to give measurements indicative of evolutional stages of the species. Two types of statistics of trinucleotides in coding regions are analysed for 27 species. The first one is the codon space, the nucleotide ratio for each of the three codon positions. We apply principal component analysis on this space and extract two principal components faithfully describing the original distribution of the codon space. The first principal component corresponds to the GC content. The second principal component classifies the species into three evolutional groups, Archaea, Bacteria and Eukaryota. The second statistics is the real and theoretical frequency of amino acids. The real frequency of an amino acid in a coding sequence is its frequency in the translated protein. The theoretical frequency is the expected frequency calculated from the ratio of nucleotides. We introduce the discrepancy between these two frequencies as an index of non-randomness of nucleotides in the sequence. This index of non-randomness divides the species into two groups: eukaryotes having smaller non-randomness (i.e. being more random) and prokaryotes having higher non-randomness.     

A study of the purine/pyrimidine codon occurrence with a reduced centered variable and an evaluation compared to the frequency statistic

With the three-letter alphabet [R,Y,N] (R = purine, Y = pyrimidine, N = R or Y), there are 26 codons (NNN being excluded): RNN,...,NNY (six codons at two unspecified bases N), RRN,...,NYY (12 codons at one unspecified base N), RRR,...,YYY (eight specified codons). A statistical methodology that uses the codon frequency and a reduced centered variable leads to similar results for a codon occurrence study, regardless of gene function and regardless of a particular protein coding gene taxonomic population. Therefore, this variable can be considered a new codon usage index, whose use removes certain nonsignificant results found with the frequency statistic. This methodology identifies the common and rare codons (i.e., the codons having the highest and lowest occurrence) and leads to a model of codon evolution at three successive states: RNN, then RNY, and finally RYY. Some biological relations between this model and the YRY(N)6YRY preferential occurrence are also presented.     

Designing gene libraries from protein profiles for combinatorial protein experiments

Protein combinatorial libraries provide new ways to probe the determinants of folding and to discover novel proteins. Such libraries are often constructed by expressing an ensemble of partially random gene sequences. Given the intractably large number of possible sequences, some limitation on diversity must be imposed. A non-uniform distribution of nucleotides can be used to reduce the number of possible sequences and encode peptide sequences having a predetermined set of amino acid probabilities at each residue position, i.e., the amino acid sequence profile. Such profiles can be determined by inspection, multiple sequence alignment or physically-based computational methods. Here we present a computational method that takes as input a desired sequence profile and calculates the individual nucleotide probabilities among partially random genes. The calculated gene library can be readily used in the context of standard DNA synthesis to generate a protein library with essentially the desired profile. The fidelity between the desired profile and the calculated one coded by these partially random genes is quantitatively evaluated using the linear correlation coefficient and a relative entropy, each of which provides a measure of profile agreement at each position of the sequence. On average, this method of identifying such codon frequencies performs as well or better than other methods with regard to fidelity to the original profile. Importantly, the method presented here provides much better yields of complete sequences that do not contain stop codons, a feature that is particularly important when all or large fractions of a gene are subject to combinatorial mutation.     

载脂蛋白基因家族的密码子空间分析——核苷酸替换的非随机进化选择

ＤＮＡ分子进化中,对核苷酸替换的选择可呈选择中性或选择倾向性。为研究载脂蛋白基因进化过程中对核苷酸变化的选择方式,本文建立了基因的密码子空间分析方法。密码子空间是由密码子３个位置上核苷酸出现机率所组成的矩阵。对该空间中核苷酸分布的非随机性度量可以反映进化过程中核苷酸替换的选择方式。应用该法,我们发现载脂蛋白基因密码子空间第一及第三位的核苷酸分布呈高度非随机性。进一步研究表明：这种核苷酸的非随机分布可能与腺苷酸、胸苷酸对密码子位置的非中性选择有关。此外,还研究了同义密码子的选择使用与分支种系发生的关系。结果显示：载脂蛋白分子演化中存在着同义密码子使用的分子进化钟。这些研究提示密码子空间中核苷酸替换的非随机选择可能是载脂蛋白基因进化的一种特征。     

The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications.

A simple, effective measure of synonymous codon usage bias, the Codon Adaptation Index, is detailed. The index uses a reference set of highly expressed genes from a species to assess the relative merits of each codon, and a score for a gene is calculated from the frequency of use of all codons in that gene. The index assesses the extent to which selection has been effective in moulding the pattern of codon usage. In that respect it is useful for predicting the level of expression of a gene, for assessing the adaptation of viral genes to their hosts, and for making comparisons of codon usage in different organisms. The index may also give an approximate indication of the likely success of heterologous gene expression.     

嗜热泉生古细菌及其他泉古菌同义密码子使用偏向性分析

比较分析了嗜热泉生古细菌(Aeropyrum pernix K1)和其他两种系统发育相关的泉古菌[嗜气菌(Pyrobaculum aerophi-lumstr.IM2)和嗜硫菌(Sulfolobus acidocaldarius DSM 639)]的同义密码子使用偏向性。结果表明嗜热泉生古细菌(Aeropyrum pernix K1)的密码子偏向性很小,并且与GC3S成高度的相关性。这3种泉古菌的密码子使用模式在进化上很保守。与基因的功能对密码子使用的影响相比,这些泉古菌密码子的使用偏向性更是由其物种所决定的。嗜热泉生古细菌(A.pernix K1),嗜气菌(P.aerophilum str.IM2)和嗜硫菌(S.acidocaldarius DSM 639)生存在不同的极限环境中。推测正是这些极限环境决定了这些泉古菌的密码子使用偏向性模式。此外在这些泉古菌的基因组中并没有发现其正义链和反义链的密码子使用偏向性差别。嗜热泉生古细菌(A.pernix K1)和嗜硫菌(S.acidocaldarius DSM 639)的密码子偏向性程度与基因表达水平有高度的相关性,而嗜气菌(P.aerophilum str.IM2)的基因组并没有发现这种规律。     

Synonymous codon usage pattern among the S,M, and L segments in Crimean-congo hemorrhagic fever virus

Crimean-Congo hemorrhagic fever (CCHF) virus is one among the major zoonosis viral diseases that use the Hyalomma ticks as their transmission vector to cause viral infection to the human and mammalian community. The fatality of infectious is high across the world especially in Africa, Asia, Middle East, and Europe. This study regarding codon usage bias of S, M, and L segments of the CCHF virus pertaining to the host Homo sapiens, reveals in-depth information about the evolutionary characteristics of CCHFV. Relative Synonymous Codon Usage (RSCU), Effective number of codons (ENC) were calculated, to determine the codon usage pattern in each segment. Correlation analysis between Codon adaptation index (CAI), GRAVY (Hydrophobicity), AROMO (Aromaticity), and nucleotide composition revealed bias in the codon usage pattern. There was no strong codon bias found among any segments of the CCHF virus, indicating both the factors i.e., natural selection and mutational pressure shapes the codon usage bias.     

Treatment of periodontal disease using xanthan based chlorhexidine gel

People of all ages are suffering from periodontal disease. It causes indirect damage in the oral cavity. It is of interest to evaluate the efficacy of xanthan-based chlorhexidine gel (Xan-CHX) in patients with mild-severe chronic periodontitis. Five patients with 60 sites were divided in two groups. Group A (treated with SRP) and group B (treated with Chlosite i.e., SRP + CHL). The recorded clinical parameters were Plaque index (PI), Gingival index (GI), Bleeding index (BI), and Clinical attachment Level (CAL) with sub gingival plaque subjected to microbial analysis. Significant reduction was observed in both groups. However, group B (treated with Chlosite i.e., SRP + CHL) showed statistically significant improvement on above mentioned parameters as compared to group A. Data suggest that in the treatment of periodontal disease (viz. PI, GI, BI and CAL) combination of SRP and Chlosite showed added benefits over only SRP.     

Local cooperation dominates over competition between CD4+ T cells of different antigen/MHC specificity

Interactions between CD4(+) T cells in vivo are controlled by a balance between cooperation and competition. In this study the interaction between two populations of CD4(+) T cells of different MHC/peptide specificity was probed at different precursor frequencies, delivering one or both Ags to APC using particle-mediated DNA delivery. Expansion of clonal populations of Ag (OVA and pigeon cytochrome c-specific) CD4(+) T cells was limited at higher precursor frequencies, presumably reflecting intraclonal competition. In contrast, a strong enhancement of the number of cells expressing IFN-gamma, IL-4, and IL-2 was observed in populations of cells at low precursor frequency in the presence of a high frequency of activated cells of a different Ag specificity. The helper effect was most potent when both Ags were delivered to the same dendritic cell (i.e., linked). This reflects the requirement of epicrine or paracrine help for optimal activation of T cell clones at low frequency. A measure of help was also delivered in an endocrine manner (unlinked), especially for Th1 responses, suggesting that there is also limited diffusion of cytokines between dendritic cell clusters. The dominant effects of cooperation over competition between CD4(+) T cells responding to different Ags may have important implications in terms of the efficacy of multivalent vaccines.