Mitotic checkpoint gene expression is tuned by codon usage bias

The mitotic checkpoint (also called spindle assembly checkpoint, SAC) is a signaling pathway that safeguards proper chromosome segregation. Correct functioning of the SAC depends on adequate protein concentrations and appropriate stoichiometries between SAC proteins. Yet very little is known about the regulation of SAC gene expression. Here, we show in the fission yeast Schizosaccharomyces pombe that a combination of short mRNA half‐lives and long protein half‐lives supports stable SAC protein levels. For the SAC genes mad2 ⁺ and mad3 ⁺, their short mRNA half‐lives are caused, in part, by a high frequency of nonoptimal codons. In contrast, mad1 ⁺ mRNA has a short half‐life despite a higher frequency of optimal codons, and despite the lack of known RNA‐destabilizing motifs. Hence, different SAC genes employ different strategies of expression. We further show that Mad1 homodimers form co‐translationally, which may necessitate a certain codon usage pattern. Taken together, we propose that the codon usage of SAC genes is fine‐tuned to ensure proper SAC function. Our work shines light on gene expression features that promote spindle assembly checkpoint function and suggests that synonymous mutations may weaken the checkpoint.     

同义密码子通过精微翻译选择机制实现对基因的表达调控

自然界中,同义密码子的存在使得众多氨基酸能够同时被多种密码子编码合成。随着研究的深入,同义密码子使用偏嗜性发挥出的生物学功能已经渗透到了基因复制、转录、翻译以及化学修饰等生命活动过程中。基于同义密码子使用偏嗜性的生物学特性,陆续发现密码子对(codon pair)和密码子共现(codon co-occurrence)同样在使用模式上存在明显的偏嗜性。在基因表达的过程中,针对编码序列的密码子优化能够显著提升基因的表达水平,这在生物工程领域对于蛋白表达有着重要的生物学意义。此外,同义密码子使用模式在调控基因转录、化学修饰以及翻译过程中间接控制着细胞内生命活动的有序性。而这些与同义密码子使用模式有着千丝万缕联系的生命过程主要是受精微翻译选择压力来调控运行的。本文中,我们结合当前同义密码子使用模式介导的精微翻译选择压力,简述密码子使用模式如何从转录、化学修饰以及翻译等方面来影响基因表达及蛋白产物生物学功能。这将为今后生物工程学领域如何优化蛋白高效表达以及深入研究重要生物学活动中基因表达调控提供可参考的思路与理念。     

Heterologous protein secretion in Lactococcus lactis is enhanced by the Bacillus subtilis chaperone-like protein PrsA

The Bacillus subtilis lipoprotein PrsA enhances the yield of several homologous and heterologous exported proteins in B. subtilis by being involved in the posttranslocational stage of the secretion process. In this work, we have studied the effect of B. subtilis PrsA on the secretion of Bacillus amyloliquefaciens α-amylase (AmyQ), a target protein for PrsA, and Bacillus licheniformis penicillinase (PenP) a nontarget protein for PrsA, in Lactococcus lactis. Two compatible plasmids were constructed and introduced into L. lactis strain NZ9000: one high copy plasmid, expressing the AmyQ gene (amyQ) or the PenP gene (penP), and one low copy plasmid, expressing the PrsA encoding gene (prsA). When amyQ and prsA were simultaneously expressed under the nisin-inducible promoter P _nisA , Western blotting experiments revealed a 15- to 20-fold increase in the total yield of AmyQ and a sixfold increase in secreted AmyQ activity, compared to a control strain lacking prsA. When expressed under the same induction conditions, PrsA had no effect on the secretion or total yield of PenP. These results show that the secretion yield of some heterologous proteins can be significantly increased in L. lactis when coproduced with the B. subtilis PrsA protein.     

Prediction of gene expression and codon usage in human parasitic helminths

Codon usage bias refers to the differences in the occurrence frequency of synonymous codons. To understand the patterns of codon usage in mitochondrial genes we used bioinformatic approaches to analyze the protein coding sequences of W. bancrofti and S. haematobium as no work was reported earlier. It was found that the ENC value ranged from 43 to 60 with a mean of 46.91 in W. bancrofti but varied from 49 to 60 with a mean of 45.17 in S. haematobium, respectively. In W. bancrofti a significant positive correlation was found between ENC and GC3% (r = 0.826**, p < 0.01), but in S. haematobium significant correlation was found between ENC and GC3% (r = 0.983**, p < 0.01). Principal component analysis suggests that the pattern of codon usage significantly differed between W. bancrofti and S. haematobium. Neutrality plot reveals that natural selection played a major role while mutation pressure played a minor role in codon usage pattern in the mitochondrial protein coding genes of W. bancrofti and S. haematobium. Various factors namely nucleotide composition, natural selection and mutation pressure affected the codon usage pattern.     

Optimizing the codon usage of synthetic gene with QPSO algorithm

Molecular Biology makes it possible to express foreign genes in microorganism, plants and animals. To improve the heterologous expression, it is important that the codon usage of sequence be optimized to make it adaptive to host organism. In this paper, a novel method based on Quantum-behaved Particle Swarm Optimization (QPSO) algorithm is developed to optimize the codon usage of synthetic gene. Compared to the existing probability methods, QPSO is able to generate better results when DNA/RNA sequence length is less than 6 Kb which is the commonly used range. While the software or web service based on probability method may not exclude all defined restriction sites when there are many undesired sites in the sequence, our proposed method can remove the undesired site efficiently during the optimization process.     

Comparing expression level-dependent features in codon usage with protein abundance: an analysis of 'predictive proteomics'

Synonymous codon usage is a commonly used means for estimating gene expression levels of Escherichia coli genes and has also been used for predicting highly expressed genes for a number of prokaryotic genomes. By comparison of expression level-dependent features in codon usage with protein abundance data from two proteome studies of exponentially growing E. coli and Bacillus subtilis cells, we try to evaluate whether the implicit assumption of this approach can be confirmed with experimental data. Log-odds ratio scores are used to model differences in codon usage between highly expressed genes and genomic average. Using these, the strength and significance of expression level-dependent features in codon usage were determined for the genes of the Escherichia coli, Bacillus subtilis and Haemophilus influenzae genomes. The comparison of codon usage features with protein abundance data confirmed a relationship between these to be present, although exceptions to this, possibly related to functional context, were found. For species with expression level-dependent features in their codon usage, the applied methodology could be used to improve in silico simulations of the outcome of two-dimensional gel electrophoretic experiments.     

Prediction of gene expression under drought stress in spring wheat using codon usage pattern

Spring wheat (Triticum aestivum) is a staple food providing sources of essential proteins for human. In fact, gene expressions of wheat play an important role in growth and productivity that are affected by drought stress. The objective of this work focused on analysis gene feature on spring wheat represented by nucleotide and gene expressions under drought stress. It was found that the higher codon adaptation index was in both wheat root and L-galactono-1, 4-lactone dehydrogenase. It was also found that guanine and cytosine content were high (55.56%) in wheat root. Whereas, guanine and cytosine content were low (41.28%) in L-galactono-1, 4-lactone dehydrogenase. Moreover, the higher relative synonymous codon usage value was observed in codon CAA (1.20), GAA (1.33), GAT (1.00), and ATG (1.00) in wheat root and thus about 62.95% of the total variation in relative synonymous codon was explained by principal component analysis. Additionally, high averages frequency number of codon were (above 15.76) in Met, Lys, Ala, Gly, Phe, Asp, Glu, His, and Tyr; whereas, low averages were in remaining amino acids and majority (90%) of modified relative codon bias values was between 0.40 and 0.90. Shortly, calculations and analysis of codon usage pattern under drought stress would help for genetic engineering, molecular evolution, and gene prediction in wheat studies for developing varieties that associate with drought tolerance.     

Evolutionary patterns of codon usage in the chloroplast gene rbcL

In this study we reconstruct the evolution of codon usage bias in the chloroplast gene rbcL using a phylogeny of 92 green-plant taxa. We employ a measure of codon usage bias that accounts for chloroplast genomic nucleotide content, as an attempt to limit plausible explanations for patterns of codon bias evolution to selection- or drift-based processes. This measure uses maximum likelihood-ratio tests to compare the performance of two models, one in which a single codon is overrepresented and one in which two codons are overrepresented. The measure allowed us to analyze both the extent of bias in each lineage and the evolution of codon choice across the phylogeny. Despite predictions based primarily on the low G + C content of the chloroplast and the high functional importance of rbcL, we found large differences in the extent of bias, suggesting differential molecular selection that is clade specific. The seed plants and simple leafy liverworts each independently derived a low level of bias in rbcL, perhaps indicating relaxed selectional constraint on molecular changes in the gene. Overrepresentation of a single codon was typically plesiomorphic, and transitions to overrepresentation of two codons occurred commonly across the phylogeny, possibly indicating biochemical selection. The total codon bias in each taxon, when regressed against the total bias of each amino acid, suggested that twofold amino acids play a strong role in inflating the level of codon usage bias in rbcL, despite the fact that twofolds compose a minority of residues in this gene. Those amino acids that contributed most to the total codon usage bias of each taxon are known through amino acid knockout and replacement to be of high functional importance. This suggests that codon usage bias may be constrained by particular amino acids and, thus, may serve as a good predictor of what residues are most important for protein fitness.     

Heterologous expression of membrane proteins: choosing the appropriate host

Background

Membrane proteins are the targets of 50% of drugs, although they only represent 1% of total cellular proteins. The first major bottleneck on the route to their functional and structural characterisation is their overexpression; and simply choosing the right system can involve many months of trial and error. This work is intended as a guide to where to start when faced with heterologous expression of a membrane protein.

Methodology/Principal Findings

The expression of 20 membrane proteins, both peripheral and integral, in three prokaryotic (E. coli, L. lactis, R. sphaeroides) and three eukaryotic (A. thaliana, N. benthamiana, Sf9 insect cells) hosts was tested. The proteins tested were of various origins (bacteria, plants and mammals), functions (transporters, receptors, enzymes) and topologies (between 0 and 13 transmembrane segments). The Gateway system was used to clone all 20 genes into appropriate vectors for the hosts to be tested. Culture conditions were optimised for each host, and specific strategies were tested, such as the use of Mistic fusions in E. coli. 17 of the 20 proteins were produced at adequate yields for functional and, in some cases, structural studies. We have formulated general recommendations to assist with choosing an appropriate system based on our observations of protein behaviour in the different hosts.

Conclusions/Significance

Most of the methods presented here can be quite easily implemented in other laboratories. The results highlight certain factors that should be considered when selecting an expression host. The decision aide provided should help both newcomers and old-hands to select the best system for their favourite membrane protein.     

Patterns of synonymous codon usage in Drosophila melanogaster genes with sex-biased expression

The nonrandom use of synonymous codons (codon bias) is a well-established phenomenon in Drosophila. Recent reports suggest that levels of codon bias differ among genes that are differentially expressed between the sexes, with male-expressed genes showing less codon bias than female-expressed genes. To examine the relationship between sex-biased gene expression and level of codon bias on a genomic scale, we surveyed synonymous codon usage in 7276 D. melanogaster genes that were classified as male-, female-, or non-sex-biased in their expression in microarray experiments. We found that male-biased genes have significantly less codon bias than both female- and non-sex-biased genes. This pattern holds for both germline and somatically expressed genes. Furthermore, we find a significantly negative correlation between level of codon bias and degree of sex-biased expression for male-biased genes. In contrast, female-biased genes do not differ from non-sex-biased genes in their level of codon bias and show a significantly positive correlation between codon bias and degree of sex-biased expression. These observations cannot be explained by differences in chromosomal distribution, mutational processes, recombinational environment, gene length, or absolute expression level among genes of the different expression classes. We propose that the observed codon bias differences result from differences in selection at synonymous and/or linked nonsynonymous sites between genes with male- and female-biased expression.     

Analysis of chromosomes and nucleotides in rice to predict gene expression through codon usage pattern

Amino acids are essential measurements for the potential growth stage because of connecting to protein structures and functions. The objective of this paper was to analyze chromosomes feature at plastid region of rice represented by nucleotide, synonymous codon, and amino acid usage to predict gene expression through codon usage pattern. The results showed that the values of the codon adaption index ranged from 0.733 in chromosome 9 to 0.631 in chromosome 8 with full length of these two chromosomes were 3738 and 1635 respectively. The higher value of guanine and cytosine content was 60% in chromosomes 9 while the lower values was 37% in chromosomes 11. Eight chromosomes (ch1, ch2, ch3, ch5, ch7, ch8, ch10, and ch12) were greater value of modified relative codon bias than threshold (threshold: 0.66) especially in cysteine for ch1, ch2, ch5, ch10, and ch12. While other remaining chromosomes were less than the threshold. Relative synonymous codon usage found that the over-represented of amino acids were asparagine, aspartate, cysteine, glutamate, and phenylalanine across all 12 chromosomes. These results would establish a platform for more and further projects concerning rice breeding and genetics and codon optimization in the amino acids for developing varieties. These results also will help breeders to select desirable genes through the genome for improve target traits.     

Expression of recombinant human cathepsin K is enhanced by codon optimization

A synthetic codon-optimized gene encoding human procathepsin K has been cloned in Escherichia coli using pET28a+ vector. The recombinant His-tagged fusion protein was expressed as inclusion body, solubilized in urea and purified by metal affinity chromatography. The purified protein was refolded by dilution technique, concentrated and finally purified by gel-filtration chromatography. The expressed protein was confirmed by Western blot analysis with human cathepsin K specific antibody. We have obtained 140 mg purified and refolded protein from 1 L bacterial culture which is the highest (nearly three times higher) yield reported so far for a recombinant human procathepsin K. The protease could be autocatalytically activated to mature protease at lower pH in presence of cysteine protease specific activators. The recombinant protease showed gelatinolytic and collagenolytic activities as well as activity against synthetic substrate Z-FR-AMC with a K_m value of 5 ± 2.7 μM and the proteolytic activity of the enzyme could be blocked by cysteine protease inhibitors E-64, leupeptin and MMTS.     

Dissecting the contributions of GC content and codon usage to gene expression in the model alga Chlamydomonas reinhardtii

The efficiency of gene expression in all organisms depends on the nucleotide composition of the coding region. GC content and codon usage are the two key sequence features known to influence gene expression, but the underlying molecular mechanisms are not entirely clear. Here we have determined the relative contributions of GC content and codon usage to the efficiency of nuclear gene expression in the unicellular green alga Chlamydomonas reinhardtii. By comparing gene variants that encode an identical amino acid sequence but differ in their GC content and/or codon usage, we show that codon usage is the key factor determining translational efficiency and, surprisingly, also mRNA stability. By contrast, unfavorable GC content affects gene expression at the level of the chromatin structure by triggering heterochromatinization. We further show that mutant algal strains that permit high‐level transgene expression are less susceptible to epigenetic transgene suppression and do not establish a repressive chromatin structure at the transgenic locus. Our data disentangle the relationship between GC content and codon usage, and suggest simple strategies to overcome the transgene expression problem in Chlamydomonas.