几种模式生物基因组中最适密码对和稀有密码对使用的规律性

以6种模式生物基因组为样本,从密码对的碱基组成及密码子的使用两方面,分析了最适密码对与稀有密码对的使用。结果显示:6种生物的最适密码对rP双碱基TA出现的频数都是最低的,而出现频率最大的双碱墓对于古菌、细菌、真核是不同的;稀有密码对中双碱基TA出现的频数却是最高的,而出现频率最低的双碱基刘·于古菌、细菌、真核是不同的。这说明双碱基的分布与密码对的偏好性有很强的相关性,同时也与基因组进化存在关联。另外,我们也分析了本文的6种生物编码序列叶,最适密码对与稀有密码对的出现频数与密码了的相对使用频率的关系,发现密码对的出现频数与其密码子的使用存在相关性。     

Mutation-selection models of codon substitution and their use to estimate selective strengths on codon usage

Current models of codon substitution are formulated at the levels of nucleotide substitution and do not explicitly consider the separate effects of mutation and selection. They are thus incapable of inferring whether mutation or selection is responsible for evolution at silent sites. Here we implement a few population genetics models of codon substitution that explicitly consider mutation bias and natural selection at the DNA level. Selection on codon usage is modeled by introducing codon-fitness parameters, which together with mutation-bias parameters, predict optimal codon frequencies for the gene. The selective pressure may be for translational efficiency and accuracy or for fine-tuning translational kinetics to produce correct protein folding. We apply the models to compare mitochondrial and nuclear genes from several mammalian species. Model assumptions concerning codon usage are found to affect the estimation of sequence distances (such as the synonymous rate d(S), the nonsynonymous rate d(N), and the rate at the 4-fold degenerate sites d(4)), as found in previous studies, but the new models produced very similar estimates to some old ones. We also develop a likelihood ratio test to examine the null hypothesis that codon usage is due to mutation bias alone, not influenced by natural selection. Application of the test to the mammalian data led to rejection of the null hypothesis in most genes, suggesting that natural selection may be a driving force in the evolution of synonymous codon usage in mammals. Estimates of selection coefficients nevertheless suggest that selection on codon usage is weak and most mutations are nearly neutral. The sensitivity of the analysis on the assumed mutation model is discussed.     

Comparative analysis of expansin gene codon usage patterns among eight plant species

Expansins are essential components of plant cell wall and play an important role in plant growth, development, and stress resistance via loosening function. To understand the codon usage pattern of expansin genes, we gained the sequence data of expansin genes from eight plant species. Statistics analysis showed obvious codon characteristics between monocot and dicot plants. Comparably, expansin genes in monocot plants had really higher GC content, more high-frequency codons, and more optimal codons than that in dicot plants. Several monocot plants performed somehow as dicot plants in a few characters. Codon information of expansin genes might contribute to the understanding of the relationship and evolution clues between monocot and dicot plants. It further gained insight into the improvement of the gene expression and roles.     

Clonorchis sinensis: codon usage in nuclear genes

Codon usage in Clonorchis sinensis was analyzed using 12,515 codons from 38 coding sequences. Total GC content was 49.83%, and GC1, GC2 and GC3 contents were 56.32%, 43.15% and 50.00%, respectively. The effective number of codons converged at 51-53 codons. When plotted against total GC content or GC3, codon usage was distributed in relation to GC3 biases. Relative synonymous codon usage for each codon revealed a single major trend, which was highly correlated with GC content at the third position when codons began with A or U at the first two positions. In codons beginning with G or C base at the first two positions, the G or C base rarely occurred at the third position. These results suggest that codon usage is shaped by a bias towards G or C at the third base, and that this is affected by the first and second bases.     

普通野生稻线粒体蛋白质编码基因密码子使用偏好性的分析

以普通野生稻(Oryza rufipogon Griff.)线粒体基因组为对象,分析其蛋白质编码基因的密码子使用特征及与亚洲栽培稻(O. sativa L.)的差异,探讨其密码子偏性形成的影响因素和进化过程。结果显示:普通野生稻线粒体基因组编码序列第1、第2和第3位碱基的GC含量依次为49.18%、42.67%和40.86%;有效密码子数(Nc)分布于45.32～61.00之间,其密码子偏性较弱; Nc值仅与GC_3呈显著相关,密码子第3位的碱基组成对密码子偏性影响较大;第1向量轴上显示9.91%的差异,其与GC_3s、Nc、密码子偏好指数(CBI)和最优密码子使用频率(Fop)的相关性均达到显著水平;而GC_3和GC₁₂的相关性未达到显著水平。因此,普通野生稻线粒体基因组密码子的使用偏性主要受自然选择压力影响而形成。本研究确定了21个普通野生稻线粒体基因组的最优密码子,大多以A或T结尾,与叶绿体密码子具有趋同进化,但是与核基因组具有不同的偏好性。同义密码子相对使用度(RSCU)、PR2偏倚分析和中性绘图分析显示,普通野生稻线粒体基因功能和其密码子使用密切相关,且线粒体密码子使用在普通野生稻、粳稻(O. sativa L. subsp. japonica Kato)和籼稻(O. sativa L. subsp.indica Kato)内具有同质性。     

Comparative multivariate analysis of codon and amino acid usage in three Leishmania genomes

Multivariate analysis of codon and amino acid usage was performed for three Leishmania species, including L. donovani, L. infantum and L. major. It was revealed that all three species are under mutational bias and translational selection. Lower GC 12 and higher GC 3S in all three parasites suggests that the ancestral highly expressed genes (HEGs), compared to lowly expressed genes (LEGs), might have been rich in AT-content. This also suggests that there must have been a faster rate of evolution under GC-bias in LEGs. It was observed from the estimation of synonymous/non-synonymous substitutions in HEGs that the HEG dataset of L. donovani is much closer to L. major evolutionarily. This is also supported by the higher d N value as compared to d S between L. donovani and L. major, suggesting the conservation of synonymous codon positions between these two species and the role of translational selection in shaping the composition of protein-coding genes.     

转座因子对水稻同义密码子使用偏性的影响

利用635个包含完整转座因子插入的粳稻CDS序列,对转座因子如何影响基因编码区的碱基组成及基因的表达水平,进而对基因同义密码子的使用偏性产生影响进行了详细分析。结果表明:转座因子插入极显著地影响到基因编码区的同义密码子使用但并非唯一因素;转座因子对不同基因的表达水平具有多重影响,有的基因表达被抑制,有的反而增强,但总的来说它减少了基因表达水平对同义密码子使用的影响程度。     

Analysis of synonymous codon usage in 11 human bocavirus isolates

Human Bocavirus (HBoV) is a novel virus which can cause respiratory tract disease in infants or children. In this study, the codon usage bias and the base composition variations in the available 11 complete HBoV genome sequences have been investigated. Although, there is a significant variation in codon usage bias among different HBoV genes, codon usage bias in HBoV is a little slight, which is mainly determined by the base compositions on the third codon position and the effective number of codons (ENC) value. The results of correspondence analysis (COA) and Spearman's rank correlation analysis reveals that the G + C compositional constraint is the main factor that determines the codon usage bias in HBoV and the gene's function also contributes to the codon usage in this virus. Moreover, it was found that the hydrophobicity of each protein and the gene length are also critical in affecting these viruses’ codon usage, although they were less important than that of the mutational bias and the genes’ function. At last, the relative synonymous codon usage (RSCU) of 44 genes from these 11 HBoV isolates is analyzed using a hierarchical cluster method. The result suggests that genes with same function yet from different isolates are classified into the same lineage and it does not depend on geographical location. These conclusions not only can offer an insight into the codon usage patterns and gene classification of HBoV, but also may help in increasing the efficiency of gene delivery/expression systems.     

Stress induced MAPK genes show distinct pattern of codon usage in Arabidopsis thaliana,Glycine max and Oryza sativa

Mitogen activated protein kinase (MAPK) genes provide resistance to various biotic and abiotic stresses. Codon usage profiling of the genes reveals the characteristic features of the genes like nucleotide composition, gene expressivity, optimal codons etc. The present study is a comparative analysis of codon usage patterns for different MAPK genes in three organisms, viz. Arabidopsis thaliana, Glycine max (soybean) and Oryza sativa (rice). The study has revealed a high AT content in MAPK genes of Arabidopsis and soybean whereas in rice a balanced AT-GC content at the third synonymous position of codon. The genes show a low bias in codon usage profile as reflected in the higher values (50.83 to 56.55) of effective number of codons (N_c). The prediction of gene expression profile in the MAPK genes revealed that these genes might be under the selective pressure of translational optimization as reflected in the low codon adaptation index (CAI) values ranging from 0.147 to 0.208.     

Impact of translational selection on codon usage bias in the archaeon Methanococcus maripaludis

Patterns of codon usage have been extensively studied among Bacteria and Eukaryotes, but there has been little investigation of species from the third domain of life, the Archaea. Here, we examine the nature of codon usage bias in a methanogenic archaeon, Methanococcus maripaludis. Genome-wide patterns of codon usage are dominated by a strong A + T bias, presumably largely reflecting mutation patterns. Nevertheless, there is variation among genes in the use of a subset of putatively translationally optimal codons, which is strongly correlated with gene expression level. In comparison with Bacteria such as Escherichia coli, the strength of selected codon usage bias in highly expressed genes in M. maripaludis seems surprisingly high given its moderate growth rate. However, the pattern of selected codon usage differs between M. maripaludis and E. coli: in the archaeon, strongly selected codon usage bias is largely restricted to twofold degenerate amino acids (AAs). Weaker bias among the codons for fourfold degenerate AAs is consistent with the small number of tRNA genes in the M. maripaludis genome.     

Patterns of codon usage in two ciliates that reassign the genetic code: Tetrahymena thermophila and Paramecium tetraurelia

We used the recently sequenced genomes of the ciliates Tetrahymena thermophila and Paramecium tetraurelia to analyze the codon usage patterns in both organisms; we have analyzed codon usage bias, Gln codon usage, GC content and the nucleotide contexts of initiation and termination codons in Tetrahymena and Paramecium. We also studied how these trends change along the length of the genes and in a subset of highly expressed genes. Our results corroborate some of the trends previously described in Tetrahymena, but also negate some specific observations. In both genomes we found a strong bias toward codons with low GC content; however, in highly expressed genes this bias is smaller and codons ending in GC tend to be more frequent. We also found that codon bias increases along gene segments and in highly expressed genes and that the context surrounding initiation and termination codons are always AT rich. Our results also suggest differences in the efficiency of translation of the reassigned stop codons between the two species and between the reassigned codons. Finally, we discuss some of the possible causes for such translational efficiency differences.     

Successful lateral transfer requires codon usage compatibility between foreign genes and recipient genomes

We present evidence supporting the notion that codon usage (CU) compatibility between foreign genes and recipient genomes is an important prerequisite to assess the selective advantage of imported functions, and therefore to increase the fixation probability of horizontal gene transfer (HGT) events. This contrasts with the current tendency in research to predict recent HGTs in prokaryotes by assuming that acquired genes generally display poor CU. By looking at the CU level (poor, typical, or rich) exhibited by putative xenologs still resembling their original CU, we found that most alien genes predominantly present typical CU immediately upon introgression, thereby suggesting that the role of CU amelioration in HGT has been overemphasized. In our strategy, we first scanned a representative set of 103 complete prokaryotic genomes for all pairs of candidate xenologs (exported/imported genes) displaying similar CU. We applied additional filtering criteria, including phylogenetic validations, to enhance the reliability of our predictions. Our approach makes no assumptions about the CU of foreign genes being typical or atypical within the recipient genome, thus providing a novel unbiased framework to study the evolutionary dynamics of HGT.     

Statistical analysis of pentose phosphate pathway genes from eubacteria and eukarya reveals translational selection as a major force in shaping codon usage pattern

Comparative analysis of metabolic pathways among widely diverse species provides an excellent opportunity to extract information about the functional relation of organisms and pentose phosphate pathway exemplifies one such pathway. A comparative codon usage analysis of the pentose phosphate pathway genes of a diverse group of organisms representing different niches and the related factors affecting codon usage with special reference to the major forces influencing codon usage patterns was carried out. It was observed that organism specific codon usage bias percolates into vital metabolic pathway genes irrespective of their near universality. A clear distinction in the codon usage pattern of gram positive and gram negative bacteria, which is a major classification criterion for bacteria, in terms of pentose phosphate pathway was an important observation of this study. The codon utilization scheme in all the organisms indicates the presence of translation selection as a major force in shaping codon usage. Another key observation was the segregation of the H. sapiens genes as a separate cluster by correspondence analysis, which is primarily attributed to the different codon usage pattern in this genus along with its longer gene lengths. We have also analyzed the amino acid distribution comparison of transketolase protein primary structures among all the organisms and found that there is a certain degree of predictability in the composition profile except in A. fumigatus and H. sapiens, where few exceptions are prominent. In A. fumigatus, a human pathogen responsible for invasive aspergillosis, a significantly different codon usage pattern, which finally translated into its amino acid composition model portraying a unique profile in a key pentose phosphate pathway enzyme transketolase was observed.     

Analysis of synonymous codon usage bias in Chlamydia

Chlamydiae are obligate intracellular bacterial pathogens that cause ocular and sexuallytransmitted diseases,and are associated with cardiovascular diseases.The analysis of codon usage mayimprove our understanding of the evolution and pathogenesis of Chlamydia and allow reengineering of targetgenes to improve their expression for gene therapy.Here,we analyzed the codon usage of C.muridarum,C.trachomatis(here indicating biovar trachoma and LGV),C.pneumoniae,and C.psittaci using the codonusage database and the CUSP(Create a codon usage table)program of EMBOSS(The European MolecularBiology Open Software Suite).The results show that the four genomes have similar codon usage patterns,with a strong bias towards the codons with A and T at the third codon position.Compared with Homosapiens,the four chlamydial species show discordant seven or eight preferred codons.The ENC(effectivenumber of codons used in a gene)-plot reveals that the genetic heterogeneity in Chlamydia is constrained bythe G+C content,while translational selection and gene length exert relatively weaker influences.Moreover,mutational pressure appears to be the major determinant of the codon usage variation among the chlamydialgenes.In addition,we compared the codon preferences of C.trachomatis with those of E.coli,yeast,adenovirus and Homo sapiens.There are 23 codons showing distinct usage differences between C.trachomatisand E.coli,24 between C.trachomatis and adenovirus,21 between C.trachomatis and Homo sapiens,butonly six codons between C.trachomatis and yeast.Therefore,the yeast system may be more suitable for theexpression of chlamydial genes.Finally,we compared the codon preferences of C.trachomatis with those ofsix eukaryotes,eight prokaryotes and 23 viruses.There is a strong positive correlation between the differ-ences in coding GC content and the variations in codon bias(r=0.905,P<0,001).We conclude that thevariation of codon bias between C.trachomatis and other organisms is much less influenced by phylogeneticlineage and primarily determined by the extent of disparities in GC content.     

Transformation of nuclear and plastomic plant genomes by biolistic particle bombardment

Microprojectile bombardment is a powerful method for the transformation of various organisms and tissues. For plants, the biolistic approach is primarily used for transformation of cereals and other monocotyledons, as well as for dicotyledonous plants shown to be recalcitrant to Agrobacterium-based transformation of organellar genomes, and transformation of plant and algal chloroplasts has recently been reported. In this protocol paper we provide methods for nuclear and plastomic transformation of plants using the biolistic technique.     

CpG islands are the second main factor shaping codon usage in human genes

A correspondence analysis of codon usage in human genes revealed, as expected, that the first axis is strongly correlated with the base composition at synonymous third codon positions. At one extreme of the second axis were localized genes with a high frequency of NCG and CGN codons. The great majority of these sequences were embedded in CpG islands, while the opposite is true for the genes placed at the other extreme. The two main conclusions of this paper are: (1) the influence of CpG islands on codon usage, and (2) since the second axis is orthogonal (and therefore independent) of the first, GC3-rich genes are not necessarily associated with CpG islands.     

Chloroplast genome characteristics and phylogenetic analysis of the medicinal plant Blumea balsamifera (L.) DC

Blumea balsamifera (L.) DC., a medicinal plant with high economic value in the Asteraceae family, is widely distributed in China and Southeast Asia. However, studies on the population structure or phylogenetic relationships with other related species are rare owing to the lack of genome information. In this study, through high-throughput sequencing, we found that the chloroplast genome of B. balsamifera was 151,170 bp in length, with a pair of inverted repeat regions (IRa and IRb) comprising 24,982 bp, a large single-copy (LSC) region comprising 82,740 bp, and a small single-copy (SSC) region comprising 18,466 bp. A total of 130 genes were identified in the chloroplast genome of B. balsamifera, including 85 protein-coding, 37 transfer RNA, and 8 ribosomal RNA genes; furthermore, sequence analysis identified 53 simple sequence repeats. Whole chloroplast genome comparison indicated that the inverted regions (IR) were more conserved than large single-copy and SSC regions. Phylogenetic analysis showed that B. balsamifera is closely related to Pluchea indica. Conclusively, the chloroplast genome of B. balsamifera was helpful for species identification and analysis of the genetic diversity and evolution in the genus Blumea and family Asteraceae.     

Compositional dynamics and codon usage pattern of BRCA1 gene across nine mammalian species

The BRCA1 gene is located on the human chromosome 17q21.31 and plays important role in biological processes. The aminoacyl-tRNA synthetases (AARS) are a family of heterogenous enzymes responsible protein synthesis and whose secondary functions include a role in autoimmune myositis. Our findings reveal that the compositional constraint and the preference of more A/T –ending codons determine the codon usage patterns in BRCA1 gene while more G/C-ending codons influence the codon usage pattern of AARS gene among mammals. The codon usage bias in BRCA1 and AARS genes is low. The codon CGC encoding arginine amino acid and the codon TTA encoding leucine were uniformly distributed in BRCA1 and AARS genes, respectively in mammals including human. Natural selection might have played a major role while mutation pressure might have played a minor role in shaping the codon usage pattern of BRCA1 and AARS genes.     

Comparative genome analysis of six malarial parasites using codon usage bias based tools

Codon usage bias (CUB) is an omnipresent phenomenon, which occurs in nearly all organisms. Previous studies of codon bias in Plasmodium species were based on a limited dataset. This study uses whole genome datasets for comparative genome analysis of six Plasmodium species using CUB and other related methods for the first time. Codon usage bias, compositional variation in translated amino acid frequency, effective number of codons and optimal codons are analyzed for P.falciparum, P.vivax, P.knowlesi, P.berghei, P.chabaudii and P.yoelli. A plot of effective number of codons versus GC3 shows their differential codon usage pattern arises due to a combination of mutational and translational selection pressure. The increased relative usage of adenine and thymine ending optimal codons in highly expressed genes of P.falciparum is the result of higher composition biased pressure, and usage of guanine and cytosine bases at third codon position can be explained by translational selection pressure acting on them. While higher usage of adenine and thymine bases at third codon position in optimal codons of P.vivax highlights the role of translational selection pressure apart from composition biased mutation pressure in shaping their codon usage pattern. The frequency of those amino acids that are encoded by AT ending codons are significantly high in P.falciparum due to action of high composition biased mutational pressure compared with other Plasmodium species. The CUB variation in the three rodent parasites, P.berghei, P.chabaudii and P.yoelli is strikingly similar to that of P.falciparum. The simian and human malarial parasite, P.knowlesi shows a variation in codon usage bias similar to P.vivax but on closer study there are differences confirmed by the method of Principal Component Analysis (PCA).

Abbreviations

CDS - Coding sequences, GC1 - GC composition at first site of codon, GC2 - GC composition at second site of codon, GC3 - GC composition at third site of codon, Ala - Alanine, Arg - Arginine, Asn - Asparagine, Asp - Aspartic acid, Cys - Cysteine, Gln - Glutamine Glu - Glutamic acid Gly - Glycine His - Histidine Ile - Isoleucine Leu - Leucine Lys - Lysine Met - Methionine Phe - Phenylalanine Pro - Proline Ser - Serine Thr - Threonine Trp - Tryptophan Tyr - Tyrosine Val - Valine.