Evolutionarily Conserved Optimization of Amino Acid Biosynthesis

The “cognate bias hypothesis” states that early in evolutionary history the biosynthetic enzymes for amino acid x gradually lost residues of x, thereby reducing the threshold for deleterious effects of x scarcity. The resulting reduction in cognate amino acid composition of the enzymes comprising a particular amino acid biosynthetic pathway is predicted to confer a selective growth advantage on cells. Bioinformatic evidence from protein-sequence data of two bacterial species previously demonstrated reduced cognate bias in amino acid biosynthetic pathways. Here we show that cognate bias in amino acid biosynthesis is present in the other domains of life—Archaebacteria and Eukaryota. We also observe evolutionarily conserved underrepresentations (e.g., glycine in methionine biosynthesis) and overrepresentations (e.g., tryptophan in asparagine biosynthesis) of amino acids in noncognate biosynthetic pathways, which can be explained by secondary amino acid metabolism. Additionally, we experimentally validate the cognate bias hypothesis using the yeast Saccharomyces cerevisiae. Specifically, we show that the degree to which growth declines following amino acid deprivation is negatively correlated with the degree to which an amino acid is underrepresented in the enzymes that comprise its cognate biosynthetic pathway. Moreover, we demonstrate that cognate fold representation is more predictive of growth advantage than a host of other potential growth-limiting factors, including an amino acid’s metabolic cost or its intracellular concentration and compartmental distribution. Electronic supplementary material The online version of this article (doi: ) contains supplementary material, which is available to authorized users. Reviewing Editor: Dr. Niles Lehman Ethan O. Perlstein and Benjamin L. de Bivort contributed equally to this work.     

Regulatory analysis of amino acid synthesis pathway in Escherichia coli: aspartate family

Proteins have various compositions of twenty specific naturally occurring amino acids. In spite of their importance in cellular metabolism, biosynthesis mechanisms, changing control conditions, and affection of effectors are not clearly understood yet. So we have made an effort to elucidate the details of metabolic control mechanisms in amino acid synthesis pathways through examining an extensive database search. In this study, we have newly constructed six amino acid biosynthesis pathways including aspartate, asparagine, methionine, threonine, isoleucine, and lysine, which we call the aspartate family. They contain the major reaction mechanisms, which inhibitory control loops and activating compounds. Moreover, we have tried to collect all of the effectors which might affect the aspartate family biosynthetic networks.     

A trial to determine D-amino acids in tissue proteins of mice

Summary Eleven neutral amino acids and two acidic amino acids in tissue proteins of mouse kidney, liver and brain were analyzed for the presence of D-enantiomers. The proteins were hydrolyzed with HCl for 6 h. Of the thirteen amino acids investigated, the presence of D-enantiomers of serine, alanine, proline, aspartate and glutamate (including asparagine and glutamine) was shown in the hydrolysates. However, the level of D-enantiomers were not significantly higher than that of 6-h hydrolysate of serum albumin examined as a control protein. Serum albumin was shown to contain no D-amino acid residues.     

Compositional variation in bacterial genes and proteins with potential expression level

Usage of guanine and cytosine at three codon sites in eubacterial genes vary distinctly with potential expressivity, as predicted by Codon Adaptation Index (CAI). In bacteria with moderate/high GC-content, G(3) follows a biphasic relationship, while C(3) increases with CAI. In AT-rich bacteria, correlation of CAI is negative with G(3), but non-specific with C(3). Correlations of CAI with residues encoded by G-starting codons are positive, while with those by C-starting codons are usually negative/random. Average Size/Complexity Score and aromaticity of gene-products decrease with CAI, confirming general validity of cost-minimization principle in free-living eubacteria. Alcoholicity of bacterial gene-products usually decreases with expressivity.     

The amino acid permease AAP8 is important for early seed development in <Emphasis Type="Italic">Arabidopsis thaliana</Emphasis>

The development of seeds depends on the import of carbohydrates and amino acids supplied by the maternal tissue via the phloem. Several amino acid transporters have been reported to be expressed during seed and silique development in Arabidopsis thaliana (L.) Heynh. Here we show that mutants lacking the high affinity amino acid permease 8 (At1g10010) display a severe seed phenotype. The overall number of seeds and the number of normally developed seed is reduced by ∼50% in siliques of the Ataap8 T-DNA insertion mutant. This result could be reproduced in plants where expression of AtAAP8 is targeted with an RNAi approach. The seed phenotype is correlated with a specifically altered amino acid composition of young siliques. Aspartic acid and glutamic acid are significantly reduced in young siliques of the mutants. In correlation with the fact that AAP8 is a high affinity transporter for acidic amino acids, translocation of ¹⁴C-labelled aspartate fed via the root system to seeds of the mutants is reduced. AAP8 plays a crucial role for the uptake of amino acids into the endosperm and supplying the developing embryo with amino acids during early embryogenesis.     

Trends in Codon and Amino Acid Usage in Thermotoga maritima

The usage of synonymous codons and the frequencies of amino acids were investigated in the complete genome of the bacterium Thermotoga maritima using a multivariate statistical approach. The GC3 content of each gene was the most prominent source of variation of codon usage. Surprisingly the usage of UGU and UGC (synonymous triplets coding for Cys, the least frequent amino acid in this species) was detected as the second most prominent source of variation. However, this result is probably an artifact due to the very low frequency of Cys together with the nonbiased composition of this genome. The third trend was related to the preferential usage of a subset of codons among highly expressed genes, and these triplets are presumed to be translationally optimal. Concerning the amino acid usage, the hydropathy level of each protein (and therefore the frequency of charged residues) was the main trend, while the second factor was related to the frequency of usage of the smaller residues, suggesting that the cell economy strongly influences the architecture of the proteins. The third axis of the analysis discriminated the usage of Phe, Tyr, Trp (aromatic residues) plus Cys, Met, and His. These six residues have in common the property of being the preferential targets of reactive oxygen species, and therefore the anaerobic condition of T. maritima is an important factor for the amino acid frequencies. Finally, the Cys content of each protein was the fourth trend. Received: 22 June 2001 / Accepted: 1 October 2001     

Use of amino acids by Plasmodium relictum oocysts in vitro.

A comparison was made of the in vitro growth of the gut of Culex tarsalis in Grace's insect culture medium, supplemented with fetal bovine serum in the presence of dividing cells of Antheraea eucalypti, with a similar preparation of a gut infected with oocysts of the avian parasite, Plasmodium relictum. In the latter case, after 16 hr, significant decreases occurred in the concentration of arginine, asparagine, and glutamine combined, glutamic acid, glycine, histidine, lysine, proline, and serine. Lower and less marked decreased concentrations of alanine, β-alanine, cystine, isoleucine, leucine, methionine, ornithine, phenylalanine, threonine, tryptophane, tyrosine, and valine also took place. This indicated utilization of certain amino acids by the developing oocysts of P. relictum in the presence of metabolizing insect cells.     

Organ-distribution of the metabolite 2-aminothiazoline-4-carboxylic acid in a rat model following cyanide exposure

The reaction of cyanide (CN^?) with cystine to produce 2-aminothiazoline-4-carboxylic acid (ATCA) is one of the independent detoxification pathways of cyanide in biological systems. In this report, in vivo production of ATCA and its distributions in plasma and organs were studied after a subcutaneous sublethal dose of 4?mg/kg body weight potassium cyanide (KCN) administration to rats. At this sublethal dose of KCN, ATCA concentration was not significantly increased in the plasma samples, however, it was found significantly increased in liver samples. These results suggested that ATCA might not be a good diagnostic biomarker in plasma for sublethal cyanide exposure; however, liver could serve as the right organ for the detection of ATCA in post-mortem examinations involving cyanide exposure in military, firefighting, industrial and forensic settings.     

Do Amino Acid Biosynthetic Costs Constrain Protein Evolution in <Emphasis Type="Italic">Saccharomyces cerevisiae</Emphasis>?

Prokaryotic organisms preferentially utilize less energetically costly amino acids in highly expressed genes. Studies have shown that the proteome of Saccharomyces cerevisiae also exhibits this behavior, but only in broad terms. This study examines the question of metabolic efficiency as a proteome-shaping force at a finer scale, examining whether trends consistent with cost minimization as an evolutionary force are present independent of protein function and amino acid physicochemical property, and consistently with respect to amino acid biosynthetic costs. Inverse correlations between the average amino acid biosynthetic cost of the protein product and the levels of gene expression in S. cerevisiae are consistent with natural selection to minimize costs. There are, however, patterns of amino acid usage that raise questions about the strength (and possibly the universality) of this selective force in shaping S. cerevisiae’s proteome.     

Comparative analysis of essential genes and nonessential genes in Escherichia coli K12

Genes can be classified as essential or nonessential based on their indispensability for a living organism. Previous researches have suggested that essential genes evolve more slowly than nonessential genes and the impact of gene dispensability on a gene’s evolutionary rate is not as strong as expected. However, findings have not been consistent and evidence is controversial regarding the relationship between the gene indispensability and the rate of gene evolution. Understanding how different classes of genes evolve is essential for a full understanding of evolutionary biology, and may have medical relevance in the design of new antibacterial agents. We therefore performed an investigation into the properties of essential and nonessential genes. Analysis of evolutionary conservation, protein length distribution and amino acid usage between essential and nonessential genes in Escherichia coli K12 demonstrated that essential genes are relatively preserved throughout the bacterial kingdom when compared to nonessential genes. Furthermore, results show that essential genes, compared to nonessential genes, have a significantly higher proportion of large (>534 amino acids) and small proteins (<139 amino acids) relative to medium-sized proteins. The pattern of amino acids usage shows a similar trend for essential and nonessential genes, although some notable exceptions are observed. These findings help to clarify our understanding of the evolutionary mechanisms of essential and nonessential genes, relevant to the study of mutagenesis and possibly allowing prediction of gene properties in other poorly understood organisms.     

Codon Usage Bias and Mutation Constraints Reduce the Level of ErrorMinimization of the Genetic Code

Studies on the origin of the genetic code compare measures of the degree of error minimization of the standard code with measures produced by random variant codes but do not take into account codon usage, which was probably highly biased during the origin of the code. Codon usage bias could play an important role in the minimization of the chemical distances between amino acids because the importance of errors depends also on the frequency of the different codons. Here I show that when codon usage is taken into account, the degree of error minimization of the standard code may be dramatically reduced, and shifting to alternative codes often increases the degree of error minimization. This is especially true with a high CG content, which was probably the case during the origin of the code. I also show that the frequency of codes that perform better than the standard code, in terms of relative efficiency, is much higher in the neighborhood of the standard code itself, even when not considering codon usage bias; therefore alternative codes that differ only slightly from the standard code are more likely to evolve than some previous analyses suggested. My conclusions are that the standard genetic code is far from being an optimum with respect to error minimization and must have arisen for reasons other than error minimization.[Reviewing Editor: Martin Kreitman]     

Extreme differences in charge changes during protein evolution

Summary The maintenance of a proper distribution of charged amino acid residues might be expected to be an important factor in protein evolution. We therefore compared the inferred changes in charge during the evolution of 43 protein families with the changes expected on the basis of random base substitutions. It was found that certain proteins, like the eye lens crystallins and most histones, display an extreme avoidance of changes in charge. Other proteins, like phospholipase A2 and ferredoxin, apparently have sustained more charged replacements than expected, suggesting a positive selection for changes in charge. Depending on function and structure of a protein, charged residues apparently can be important targets for selective forces in protein evolution. It appears that actual biased codon usage tends to decrease the proportion of charged amino acid replacements. The influence of nonrandomness of mutations is more equivocal. Genes that use the mitochondrial instead of the universal code lower the probability that charge changes will occur in the encoded proteins.     

Electrical Stimulation of the Stratum Radiatum Increases the Release and Neosynthesis of Aspartate, Glutamate, and γ-Aminobutyric Acid in Rat Hippocampal Slices

The release of endogenous aspartic, glutamic, and gamma-aminobutyric acids (Asp, Glu, GABA, respectively) was measured in the effluent from superfused hippocampal slices using a new and sensitive mass spectrometric method. The stimulation of the stratum radiatum of the rat dorsal hippocampus caused a Ca2+-dependent increase in the release of these amino acids. This release was accompanied by an increase in the incorporation of [13C2] from [13C]glucose into Asp, Glu, and GABA, suggesting an increase in their neosynthesis. The removal of Ca2+ from the superfusion fluid brought about a marked decrease in Asp and Glu release at rest, and prevented their stimulation-evoked release and the appearance of population spikes. The results support the hypothesis that Asp and Glu are excitatory neurotransmitters in intrinsic hippocampal circuits and are possibly released from the Schaffer collaterals and commissural fibres. The increase in GABA release and neosynthesis during stimulation of the stratum radiatum could be related to recurrent inhibition evoked by transsynaptic stimulation of the pyramidal cells.     

Codon evolution is governed by linear formulas

When nucleotide (G, C, T and A) contents were plotted against each nucleotide, their relationships were clearly expressed by a linear formula, y = αx + β in the coding and non-coding regions. This linear relationship was obtained from the complete single-stranded DNA. Similarly, nucleotide contents at all three codon positions were expressed by linear regression lines based on the content of each nucleotide. In addition, 64 codon usages were also expressed by linear formulas against nucleotide content. Thus, the nucleotide content not only in coding sequence but also in non-coding sequence can be expressed by a linear formula, y = αx + β, in 145 organisms (112 bacteria, 15 archaea and 18 eukaryotes). Based on these results, the ratio of C/T, G/T, C/A or G/A one can essentially estimate all four nucleotide contents in the complete single-stranded DNA, and the determination of any ratio of two kinds of nucleotides can essentially estimate four nucleotide contents, nucleotide contents at the three different codon positions and codon distributions at 64 codons in the coding region. The maximum and minimum values of G content were ∼0.35 and ∼0.15, respectively, among various organisms examined. Codon evolution occurs according to linear formulas between these two values. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

细菌中D-氨基酸生物合成及调控作用研究进展

细菌中普遍存在L/D型氨基酸,与L-氨基酸(L-AAs)不同,D-氨基酸(D-AAs)不参与蛋白质合成,而与细胞壁肽聚糖的合成有关,直接影响细菌细胞壁的形状、数量和强度。D-AAs在细菌表征、药物抑菌性、靶标确定等方面具有重要的作用。目前,外源添加D-AAs参与肽聚糖合成的机制已有一些研究进展,其荧光衍生物已应用于细菌可视化,特异性探测细胞壁形成/重塑、细菌生长和细胞形态。但D-AAs如何影响细菌生长及其抗逆性的机制尚未研究清楚。对D-AAs的研究现状进行综述,重点介绍D-AAs在细菌中的生物合成机制和参与细胞壁合成的机制、非典型DAAs对细菌的调控以及在细菌可视化中的应用,并对D-AAs未来研究方向进行了展望。     

河川沙塘鳢胚胎、仔鱼发育过程中 蛋白质含量及氨基酸库的变化

采用生物化学方法测定和分析了河川沙塘鳢(Odontobutis potamophila)胚胎、仔鱼发育过程中蛋白质含量及氨基酸的组成和含量。结果显示,从受精卵开始到孵出后8 d饥饿仔鱼的整个胚胎和仔鱼发育过程中,其总蛋白和总氨基酸含量均呈下降趋势;总的必需氨基酸含量和总的非必需氨基酸含量也一样都呈现出下降趋势;平均含量最高的氨基酸是亮氨酸Leu、赖氨酸Lys、谷氨酸Glu和天冬氨酸Asp。与总氨基酸库相反,游离氨基酸库却呈现出随着发育的进行而不断增长的趋势,这种增长趋势也反映在游离的必需氨基酸和游离的非必需氨基酸含量的变化上,并且平均含量最高的游离氨基酸是赖氨酸Lys、亮氨酸Leu、脯氨酸Pro和谷氨酸Glu。整个发育过程中,游离氨基酸的含量仅占总氨基酸库的很小一部分(在受精卵,仅占0.16%)。由于总蛋白和总氨基酸含量在发育过程中均呈下降趋势,而游离氨基酸含量呈增长趋势,由此可知,在整个胚胎发生过程中,其卵黄蛋白的水解速度大于胚体同化和异化作用对氨基酸的消耗速度。     

Low Contents of Carbon and Nitrogen in Highly Abundant Proteins: Evidence of Selection for the Economy of Atomic Composition

Proteins that assimilate particular elements were found to avoid using amino acids containing the element, which indicates that the metabolic constraints of amino acids may influence the evolution of proteins. We suspected that low contents of carbon, nitrogen, and sulfur may also be selected for economy in highly abundant proteins that consume large amounts of the resources of cells. By analyzing recently available proteomic data in Escherichia coli, Saccharomyces cerevisiae, and Schizosaccharomyces pombe, we found that at least the carbon and nitrogen contents in amino acid side chains are negatively correlated with protein abundance. An amino acid with a high number of carbon atoms in its side chain generally requires relatively more energy for its synthesis. Thus, it may be selected against in highly abundant proteins either because of economy in building blocks or because of economy in energy. Previous studies showed that highly abundant proteins preferentially use cheap (in terms of energy) amino acids. We found that the carbon content is still negatively correlated with protein abundance after controlling for the energetic cost of the amino acids. However, the negative correlation between protein abundance and energetic cost disappeared after controlling for carbon content. Building blocks seem to be more restricted than energy. It seems that the amino acid sequences of highly abundant proteins have to compromise between optimization for their biological functions and reducing the consumption of limiting resources. By contrast, the amino acid sequences of weakly expressed proteins are more likely to be optimized for their biological functions. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.