Search for structural factors responsible for the stability of proteins from thermophilic organisms

Database including 392 homologous pairs of proteins from thermophilic and mesophilic organisms was created. Using this database we have found that proteins from termophilic organisms contain more atom-atom contacts per residue in comparison with mesophilic homologues. Contribution to increase of the number of contacts gives exterior amino acid residues, accessible for the solvent. Amino acid composition of interior, inaccessible for the solvent, and exterior amino acid residues of proteins from thermophilic and mesophilic organisms were analyzed. We have obtained that exterior residues of proteins from thermophilic organisms contain more such amino acid residues as Lys, Arg and Glu and smaller such amino acid residues as Ala, Asp, Asn. Gln, Ser, and Thr in comparison with proteins from mesophilic organisms. Amino acid compositions of interior residues of considered proteins are not different.     

Different packing of external residues can explain differences in the thermostability of proteins from thermophilic and mesophilic organisms

MOTIVATION: Understanding the basis of protein stability in thermophilic organisms raises a general question: what structural properties of proteins are responsible for the higher thermostability of proteins from thermophilic organisms compared to proteins from mesophilic organisms? RESULTS: A unique database of 373 structurally well-aligned protein pairs from thermophilic and mesophilic organisms is constructed. Comparison of proteins from thermophilic and mesophilic organisms has shown that the external, water-accessible residues of the first group are more closely packed than those of the second. Packing of interior parts of proteins (residues inaccessible to water molecules) is the same in both cases. The analysis of amino acid composition of external residues of proteins from thermophilic organisms revealed an increased fraction of such amino acids as Lys, Arg and Glu, and a decreased fraction of Ala, Asp, Asn, Gln, Thr, Ser and His. Our theoretical investigation of folding/unfolding behavior confirms the experimental observations that the interactions that differ in thermophilic and mesophilic proteins form only after the passing of the transition state during folding. Thus, different packing of external residues can explain differences in thermostability of proteins from thermophilic and mesophilic organisms. AVAILABILITY: The database of 373 structurally well-aligned protein pairs is available at http://phys.protres.ru/resources/termo_meso_base.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.     

Protein surface amino acid compositions distinctively differ between thermophilic and mesophilic bacteria

One of the well-known observations of proteins from thermophilic bacteria is the bias of the amino acid composition in which charged residues are present in large numbers, and polar residues are scarce. On the other hand, it has been reported that the molecular surfaces of proteins are adapted to their subcellular locations, in terms of the amino acid composition. Thus, it would be reasonable to expect that the differences in the amino acid compositions between proteins of thermophilic and mesophilic bacteria would be much greater on the protein surface than in the interior. We performed systematic comparisons between proteins from thermophilic bacteria and mesophilic bacteria, in terms of the amino acid composition of the protein surface and the interior, as well as the entire amino acid chains, by using sequence information from the genome projects. The biased amino acid composition of thermophilic proteins was confirmed, and the differences from those of mesophilic proteins were most obvious in the compositions of the protein surface. In contrast to the surface composition, the interior composition was not distinctive between the thermophilic and mesophilic proteins. The frequency of the amino acid pairs that are closely located in the space was also analyzed to show the same trend of the single amino acid compositions. Interestingly, extracellular proteins from mesophilic bacteria showed an inverse trend against thermophilic proteins (i.e. a reduced number of charged residues and rich in polar residues). Nuclear proteins from eukaryotes, which are known to be abundant in positive charges, showed different compositions as a whole from the thermophiles. These results suggest that the bias of the amino acid composition of thermophilic proteins is due to the residues on the protein surfaces, which may be constrained by the extreme environment.     

Important inter-residue contacts for enhancing the thermal stability of thermophilic proteins

Proteins from thermophilic organisms exhibit high thermal stability, but have structures that are very similar to their mesophilic homologues. In order to gain insight into the basis of thermostability, we have analyzed the medium- and long-range contacts in mesophilic and thermophilic proteins of 16 different families. We found that the thermophiles prefer to have contacts between residues with hydrogen-bond-forming capability. Apart from hydrophobic contacts, more contacts are observed between polar and non-polar residues in thermophiles than mesophiles. Residue-wise analysis showed that Tyr has good contacts with several other residues, and Cys has considerably higher long-range contacts in thermophiles compared with mesophiles. Furthermore, the residues occurring in the range of 31-34 residues apart in the sequence contribute significant long-range contacts to the stability of thermophilic proteins.     

Differences in amino acids composition and coupling patterns between mesophilic and thermophilic proteins

Summary. Thermophilic proteins show substantially higher intrinsic thermal stability than their mesophilic counterparts. Amino acid composition is believed to alter the intrinsic stability of proteins. Several investigations and mutagenesis experiment have been carried out to understand the amino acid composition for the thermostability of proteins. This review presents some generalized features of amino acid composition found in thermophilic proteins, including an increase in residue hydrophobicity, a decrease in uncharged polar residues, an increase in charged residues, an increase in aromatic residues, certain amino acid coupling patterns and amino acid preferences for thermophilic proteins. The differences of amino acids composition between thermophilic and mesophilic proteins are related to some properties of amino acids. These features provide guidelines for engineering mesophilic protein to thermophilic protein. Authors’ addresses: Yuan-Jiang Pan, Institute of Chemical Biology and Pharmaceutical Chemistry, Zhejiang University, Zhejiang University Road 38, Hangzhou 310027, China; Wei-Fen Li, Microbiology Division, College of Animal Science, Zhejiang University, Hangzhou 310029, China     

Thermostability of membrane protein helix-helix interaction elucidated by statistical analysis

A prerequisite for the survival of (micro)organisms at high temperatures is an adaptation of protein stability to extreme environmental conditions. In contrast to soluble proteins, where many factors have already been identified, the mechanisms by which the thermostability of membrane proteins is enhanced are almost unknown. The hydrophobic membrane environment constrains possible stabilizing factors for transmembrane domains, so that a difference might be expected between soluble and membrane proteins. Here we present sequence analysis of predicted transmembrane helices of the genomes from eight thermophilic and 12 mesophilic organisms. A comparison of the amino acid compositions indicates that more polar residues can be found in the transmembrane helices of thermophilic organisms. Particularly, the amino acids aspartic acid and glutamic acid replace the corresponding amides. Cysteine residues are found to be significantly decreased by about 70% in thermophilic membrane domains suggesting a non-specific function of most cysteine residues in transmembrane domains of mesophilic organisms. By a pair-motif analysis of the two sets of transmembrane helices, we found that the small residues glycine and serine contribute more to transmembrane helix-helix interactions in thermophilic organisms. This may result in a tighter packing of the helices allowing more hydrogen bond formation.     

A novel method for estimating ancestral amino acid composition and its application to proteins of the Last Universal Ancestor

MOTIVATION: Knowledge of how proteomic amino acid composition has changed over time is important for constructing realistic models of protein evolution and increasing our understanding of molecular evolutionary history. The proteomic amino acid composition of the Last Universal Ancestor (LUA) of life is of particular interest, since that might provide insight into the early evolution of proteins and the nature of the LUA itself. RESULTS: We introduce a method to estimate ancestral amino acid composition that is based on expectation-maximization. On simulated data, the approach was found to be very effective in estimating ancestral amino acid composition, with accuracy improving as the number of residues in the dataset was increased. The method was then used to infer the amino acid composition of a set of proteins in the LUA. In general, as compared with the modern protein set, LUA proteins were found to be richer in amino acids that are believed to have been most abundant in the prebiotic environment and poorer in those believed to have been unavailable or scarce. Additionally, we found the inferred amino acid composition of this protein set in the LUA to be more similar to the observed composition of the same set in extant thermophilic species than in extant mesophilic species, supporting the idea that the LUA lived in a thermophilic environment. AVAILABILITY: The program is available at http://compbio.cs.princeton.edu/ancestralaa     

Temperature adaptation of lactate dehydrogenase. Structural, functional and genetic aspects

Comparison of the primary structures of thermophilic, mesophilic and psychrophilic lactate dehydrogenase (LDH) reveals a multitude of temperature-related amino acid substitutions. In the substitutions amino acid residues occurring preferentially in thermophilic, mesophilic (psychrophilic) LDH were found. On this basis, amino acid residues could be classified in an order from typical thermophilic (thermostabilizing) to typical mesophilic (thermolabilizing, increasing dynamics of the enzyme molecule) residues. The temperature-dependent ratio between thermostabilizing and thermolabilizing amino acid residues forms the basis for the specific structural and functional properties of thermophilic or mesophilic LDH. It is interesting that there appears to be a relationship between this order from thermophilic to mesophilic amino acid residues and the type of bases coding for these individual residues in the translation step of protein biosynthesis. Temperature-related amino acid substitutions are based on temperature-related base substitutions. A possible mechanism of temperature adaptation of LDH through alternative selection of thermophilic and mesophilic amino acid residues at the level of tRNA (anticodon)-mRNA (codon) interactions is discussed. These temperature-adaptation processes are evolutionary events in which the evolution and structure of the genetic code are involved.     

氨基酸组成对蛋白质耐热性的影响

为了研究一级结构对蛋白质耐热性的影响,利用软件DNAMAN对16个家族32种蛋白质序列进行了氨基酸含量分析,并统计分析了氨基酸组成对蛋白质耐热性的影响。通过比较同一家族的高低温蛋白质序列及16个家族中所有高温和低温蛋白质序列中氨基酸含量的变化可以推断(从低温到高温)：Ser、Cys．含量降低显著,Arg、Ile、Pro含量升高显著。由此可知高温蛋白质倾向于含有疏水性氨基酸而避免亲水性氨基酸。     

Patterns of temperature adaptation in proteins from the bacteria Deinococcus radiodurans and Thermus thermophilus

Asymmetrical patterns of amino acid substitution in proteins of organisms living at moderate and high temperatures (mesophiles and thermophiles, respectively) are generally taken to indicate selection favoring different amino acids at different temperatures due to their biochemical properties. If that were the case, comparisons of different pairs of mesophilic and thermophilic taxa would exhibit similar patterns of substitutional asymmetry. A previous comparison of mesophilic versus thermophilic Methanococcus with mesophilic versus thermophilic Bacillus revealed several pairs of amino acids for which one amino acid was favored in thermophilic Bacillus and the other was favored in thermophilic Methanococcus. Most of this could be explained by the higher G+C content of the DNA of thermophilic Bacillus, a phenomenon not seen in the Methanococcus comparison. Here, I compared the mesophilic bacterium Deinococcus radiodurans and its thermophilic relative Thermus thermophilus, which are similar in G+C content. Of the 190 pairs of amino acids, 83 exhibited significant substitutional asymmetry, consistent with the pervasive effects of selection. Most of these significantly asymmetrical pairs of amino acids were asymmetrical in the direction predicted from the Methanococcus data, consistent with thermal adaptation resulting from universal biochemical properties of the amino acids. However, 12 pairs of amino acids exhibited asymmetry significantly different from and in the opposite direction of that found in the Methanococcus comparison, and 21 pairs of amino acids exhibited asymmetry that was significantly different from that found in the Bacillus comparison and could not be explained by the greater G+C content in thermophilic Bacillus. This suggests that selection due to universal biochemical properties of the amino acids and differences in G+C content are not the only causes of substitutional asymmetry between mesophiles and thermophiles. Instead, selection on taxon-specific properties of amino acids, such as their metabolic cost, may play a role in causing asymmetrical patterns of substitution.     

Robustness of predictions of extremely thermally stable proteins in ancient organisms

A number of studies have addressed the environmental temperatures experienced by ancient life. Computational studies using a nonhomogeneous evolution model have estimated ancestral G + C contents of ribosomal RNAs and the amino acid compositions of ancestral proteins, generating hypotheses regarding the mesophilic last universal common ancestor. In contrast, our previous study computationally reconstructed ancestral amino acid sequences of nucleoside diphosphate kinases using a homogeneous model and then empirically resurrected the ancestral proteins. The thermal stabilities of these ancestral proteins were equivalent to or greater than those of extant homologous thermophilic proteins, supporting the thermophilic universal ancestor theory. In this study, we reinferred ancestral sequences using a dataset from which hyperthermophilic sequences were excluded. We also reinferred ancestral sequences using a nonhomogeneous evolution model. The newly reconstructed ancestral proteins are still thermally stable, further supporting the hypothesis that the ancient organisms contained thermally stable proteins and therefore that they were thermophilic.     

残基相互作用网络特征与木聚糖酶耐热性的关系

残基相互作用网络是体现蛋白质中残基与残基之间协同和制约关系的重要形式。残基相互作用网络的拓扑性质以及社团结构与蛋白质的功能和性质有密切的关系。本文在构建一系列耐热木聚糖酶和常温木聚糖酶的残基相互作用网络后,通过计算网络的度、聚类系数、连接强度、特征路径长度、接近中心性、介数中心性等拓扑参数来确定网络拓扑结构与木聚糖酶耐热性的关系。识别残基相互作用网络的hub点,分析hub点的亲疏水性、带电性以及各种氨基酸在hub点中所占的比例。进一步使用GA-Net算法对网络进行社团划分,并计算社团的规模、直径和密度。网络的高平均度、高连接强度、以及更短的最短路径等表明耐热木聚糖酶残基相互作用网络的结构更加紧密;耐热木聚糖酶网络中的hub节点比常温木聚糖酶网络hub节点具有更多的疏水性残基,hub点中Phe、Ile、Val的占比更高。社团检测后发现,耐热木聚糖酶网络拥有更大的社团规模、较小的社团直径和较大的社团密度。社团规模越大表明耐热木聚糖酶的氨基酸残基更倾向于形成大的社团,而较小的社团直径和较大的社团密度则表明社团内部氨基酸残基的相互作用比常温木聚糖酶更强。     

残基相互作用网络特征与木聚糖酶耐热性的关系

残基相互作用网络是体现蛋白质中残基与残基之间协同和制约关系的重要形式。残基相互作用网络的拓扑性质以及社团结构与蛋白质的功能和性质有密切的关系。本文在构建一系列耐热木聚糖酶和常温木聚糖酶的残基相互作用网络后,通过计算网络的度、聚类系数、连接强度、特征路径长度、接近中心性、介数中心性等拓扑参数来确定网络拓扑结构与木聚糖酶耐热性的关系。识别残基相互作用网络的hub点,分析hub点的亲疏水性、带电性以及各种氨基酸在hub点中所占的比例。进一步使用GA-Net算法对网络进行社团划分,并计算社团的规模、直径和密度。网络的高平均度、高连接强度、以及更短的最短路径等表明耐热木聚糖酶残基相互作用网络的结构更加紧密;耐热木聚糖酶网络中的hub节点比常温木聚糖酶网络hub节点具有更多的疏水性残基,hub点中Phe、Ile、Val的占比更高。社团检测后发现,耐热木聚糖酶网络拥有更大的社团规模、较小的社团直径和较大的社团密度。社团规模越大表明耐热木聚糖酶的氨基酸残基更倾向于形成大的社团,而较小的社团直径和较大的社团密度则表明社团内部氨基酸残基的相互作用比常温木聚糖酶更强。     

Discrimination of mesophilic and thermophilic proteins using machine learning algorithms

Discriminating thermophilic proteins from their mesophilic counterparts is a challenging task and it would help to design stable proteins. In this work, we have systematically analyzed the amino acid compositions of 3075 mesophilic and 1609 thermophilic proteins belonging to 9 and 15 families, respectively. We found that the charged residues Lys, Arg, and Glu as well as the hydrophobic residues, Val and Ile have higher occurrence in thermophiles than mesophiles. Further, we have analyzed the performance of different methods, based on Bayes rules, logistic functions, neural networks, support vector machines, decision trees and so forth for discriminating mesophilic and thermophilic proteins. We found that most of the machine learning techniques discriminate these classes of proteins with similar accuracy. The neural network-based method could discriminate the thermophiles from mesophiles at the five-fold cross-validation accuracy of 89% in a dataset of 4684 proteins. Moreover, this method is tested with 325 mesophiles in Xylella fastidosa and 382 thermophiles in Aquifex aeolicus and it could successfully discriminate them with the accuracy of 91%. These accuracy levels are better than other methods in the literature and we suggest that this method could be effectively used to discriminate mesophilic and thermophilic proteins.     

All-atom contact potential approach to protein thermostability analysis

In this paper we use all-atom potential energy to define and analyze the inter-residue contacts in mesophilic and thermophilic proteins. Fifteen families of proteins are selected and each family has two representative proteins with greatly different preferred environmental temperatures. We find that both the number and energy of the contacts defined in this way show stronger correlations with the preferred temperatures of proteins than other factors used before. We also find that the charged-polar and charged-nonpolar residue contacts not only have larger contact numbers but also have lower single contact energies. Furthermore, the most important is that most of the thermophilic proteins have more charged-polar and charged-nonpolar residue contacts than their mesophilic counterparts. This suggests that they may play an important role in the thermostability of proteins, except usual charged-charged and nonpolar-nonpolar residue contacts. Charged residues may exert their profound influence by forming contacts not only with other charged residues but also with polar or nonpolar residues, thus further increasing the strength of contact network and then the thermostability of proteins.     

Identification of thermophilic species by the amino acid compositions deduced from their genomes

The global amino acid compositions as deduced from the complete genomic sequences of six thermophilic archaea, two thermophilic bacteria, 17 mesophilic bacteria and two eukaryotic species were analysed by hierarchical clustering and principal components analysis. Both methods showed an influence of several factors on amino acid composition. Although GC content has a dominant effect, thermophilic species can be identified by their global amino acid compositions alone. This study presents a careful statistical analysis of factors that affect amino acid composition and also yielded specific features of the average amino acid composition of thermophilic species. Moreover, we introduce the first example of a 'compositional tree' of species that takes into account not only homologous proteins, but also proteins unique to particular species. We expect this simple yet novel approach to be a useful additional tool for the study of phylogeny at the genome level.     

Effective factors in thermostability of thermophilic proteins

Thermostability of proteins in general and especially thermophilic proteins has been subject of a wide variety of studies based on theoretical and experimental investigation. Thermostability seems to be a property obtained through many minor structural modifications rather than certain amino acids substitution. In comparison with its mesophile homologue in a thermostable protein, usually a number of amino acids are exchanged. A wide variety of theoretical studies are based on comparative investigation of thermophilic proteins characteristics with their mesophilic counterparts in order to reveal their sequences, structural differences and consequently, to relate these observed differences to the thermostability properties. In this work we have compared a dataset of thermophilic proteins with their mesophilic homologues and furthermore, a mesophilic proteins dataset was also compared with its mesophilic homologue. This strategy enabled us first, to eliminate noise or background differences from signals and moreover, the important factors which were related to the thermostability were recognized too. Our results reveal that thermophilic and mesophilic proteins have both similar polar and nonpolar contribution to the surface area and compactness. On the other hand, salt bridges and main chain hydrogen bonds show an increase in the majority of thermophilic proteins in comparison to their mesophilic homologues. In addition, in thermophilic proteins hydrophobic residues are significantly more frequent, while polar residues are less. These findings indicate that thermostable proteins through evolution adopt several different strategies to withstand high temperature environments.     

A network representation of protein structures: implications for protein stability

This study views each protein structure as a network of noncovalent connections between amino acid side chains. Each amino acid in a protein structure is a node, and the strength of the noncovalent interactions between two amino acids is evaluated for edge determination. The protein structure graphs (PSGs) for 232 proteins have been constructed as a function of the cutoff of the amino acid interaction strength at a few carefully chosen values. Analysis of such PSGs constructed on the basis of edge weights has shown the following: 1), The PSGs exhibit a complex topological network behavior, which is dependent on the interaction cutoff chosen for PSG construction. 2), A transition is observed at a critical interaction cutoff, in all the proteins, as monitored by the size of the largest cluster (giant component) in the graph. Amazingly, this transition occurs within a narrow range of interaction cutoff for all the proteins, irrespective of the size or the fold topology. And 3), the amino acid preferences to be highly connected (hub frequency) have been evaluated as a function of the interaction cutoff. We observe that the aromatic residues along with arginine, histidine, and methionine act as strong hubs at high interaction cutoffs, whereas the hydrophobic leucine and isoleucine residues get added to these hubs at low interaction cutoffs, forming weak hubs. The hubs identified are found to play a role in bringing together different secondary structural elements in the tertiary structure of the proteins. They are also found to contribute to the additional stability of the thermophilic proteins when compared to their mesophilic counterparts and hence could be crucial for the folding and stability of the unique three-dimensional structure of proteins. Based on these results, we also predict a few residues in the thermophilic and mesophilic proteins that can be mutated to alter their thermal stability.     

Nonlinear methods in the analysis of protein sequences: a case study in rubredoxins

Two computational methods widely used in time series analysis were applied to protein sequences, and their ability to derive structural information not directly accessible through classical sequence comparisons methods was assessed. The primary structures of 19 rubredoxins of both mesophilic and thermophilic bacteria, coded with hydrophobicity values of amino acid residues, were considered as time series and were analyzed by 1) recurrence quantification analysis and 2) spectral analysis of the sequence major eigenfunctions. The results of the two methods agreed to a large extent and generated a classification consistent with known 3D structural characteristics of the studied proteins. This classification separated in a clearcut manner a thermophilic protein from mesophilic proteins. The classification of primary structures given by the two dynamical methods was demonstrated to be basically different from classification stemming from classical sequence homology metrics. Moreover, on a more detailed scale, the method was able to discriminate between thermophilic and mesophilic proteins from a set of chimeric sequences generated from the mixing of a mesophilic (Rubr Clopa) and a thermophilic (Rubr Pyrfu) protein. Overall, our results point to a new way of looking at protein sequence comparisons.     

The molecular signal for the adaptation to cold temperature during early life on Earth

Several lines of evidence such as the basal location of thermophilic lineages in large-scale phylogenetic trees and the ancestral sequence reconstruction of single enzymes or large protein concatenations support the conclusion that the ancestors of the bacterial and archaeal domains were thermophilic organisms which were adapted to hot environments during the early stages of the Earth. A parsimonious reasoning would therefore suggest that the last universal common ancestor (LUCA) was also thermophilic. Various authors have used branch-wise non-homogeneous evolutionary models that better capture the variation of molecular compositions among lineages to accurately reconstruct the ancestral G + C contents of ribosomal RNAs and the ancestral amino acid composition of highly conserved proteins. They confirmed the thermophilic nature of the ancestors of Bacteria and Archaea but concluded that LUCA, their last common ancestor, was a mesophilic organism having a moderate optimal growth temperature. In this letter, we investigate the unknown nature of the phylogenetic signal that informs ancestral sequence reconstruction to support this non-parsimonious scenario. We find that rate variation across sites of molecular sequences provides information at different time scales by recording the oldest adaptation to temperature in slow-evolving regions and subsequent adaptations in fast-evolving ones.