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M Di Giulio

Publications and source records attributed to M Di Giulio.

At least 19 recordsLinked to original sources

The universal ancestor was a thermophile or a hyperthermophile.

By exploiting the correlation between the optimal growth temperature of organisms and a thermophily index based on the propensity of amino acids to enter thermophile/hyperthermophile proteins, an analysis is conducted in order to establish whether the last universal common ancestor (LUCA) was a mesophile or a (hyper)thermophile. This objective is reached by using maximum parsimony and maximum likelihood to reconstruct the ancestral sequences of the LUCA for two pairs of sets of paralogous protein sequences by means of the phylogenetic tree topology derived from the small subunit ribosomal RNA, even if this is rooted in all three possible ways. The thermophily index of all the reconstructed ancestral sequences of the LUCA belongs to the set of the thermophile/hyperthermophile sequences, thus supporting the hypotheses that see the LUCA as a thermophile or a hyperthermophile.

Acclimatization↗

The non-universality of the genetic code: the universal ancestor was a progenote.

The coevolution theory of genetic code origin (Wong, J.T. 1975, Proc. Natl Acad. Sci. U.S.A.72, 1909-1912) is assumed here to be substantially correct. This theory is based on the strict parallelism of the biosynthetic relationships between amino acids and the organization of the genetic code and postulates that these relationships were mediated by tRNA-like molecules on which the biosynthetic transformations between precursor and product amino acids took place. These transformations underlay the mechanism that gave rise to genetic code organization. One of the pathways which represents these transformations found in current organisms, and which are thus probably molecular fossils, is the Met-tRNA(fMet)-->fMet-tRNA(fMet)pathway. This pathway is present only in the Bacteria domain. This along with other observations and arguments leads us to believe that this pathway is a clear violation of the universality of the genetic code. Furthermore, the presence of this pathway only in the Bacteria domain seems to imply that the translation apparatus was still rapidly evolving when this pathway was fixed. This, in turn, appears to imply that the last universal common ancestor was a progenote. Finally, the implications that the finding of this pathway has for the stereochemical theory of genetic code origin are discussed.

Amino Acids↗

The origin of the genetic code cannot be studied using measurements based on the PAM matrix because this matrix reflects the code itself, making any such analyses tautologous.

Freeland et al. (Mol. Biol. Evol. 2000 a, 17, 511--518) have recently used a transformation of the PAM 74-100 matrix to study the level of optimization reached during genetic code origin. Since the PAM matrix counts the amino acid substitutions that occurred in families of homologous proteins during molecular evolution and as this process is mediated by the genetic code structure itself, it could be that the influence of the code on this matrix is such as to make any conclusion insignificant. As will be shown in the present paper, the transformation of the PAM matrix is affected in a non-marginal way by the organization of the genetic code and, thus, renders the analysis of Freeland et al. tautologous. Although, under the hypothesis of a highly optimized genetic code, some correlations may be expected between a measurement of similarity between amino acids and the genetic code structure, no certain conclusions can be drawn for the measurement used by Freeland et al.

Amino Acid Sequence↗

The level and landscape of optimization in the origin of the genetic code.

We consider a model of the origin of genetic code organization incorporating the biosynthetic relationships between amino acids and their physicochemical properties. We study the behavior of the genetic code in the set of codes subject both to biosynthetic constraints and to the constraint that the biosynthetic classes of amino acids must occupy only their own codon domain, as observed in the genetic code. Therefore, this set contains the smallest number of elements ever analyzed in similar studies. Under these conditions and if, as predicted by physicochemical postulates, the amino acid properties played a fundamental role in genetic code organization, it can be expected that the code must display an extremely high level of optimization. This prediction is not supported by our analysis, which indicates, for instance, a minimization percentage of only 80%. These observations can therefore be more easily explained by the coevolution theory of genetic code origin, which postulates a role that is important but not fundamental for the amino acid properties in the structuring of the code. We have also investigated the shape of the optimization landscape that might have arisen during genetic code origin. Here, too, the results seem to favor the coevolution theory because, for instance, the fact that only a few amino acid exchanges would have been sufficient to transform the genetic code (which is not a local minimum) into a much better optimized code, and that such exchanges did not actually take place, seems to suggest that, for instance, the reduction of translation errors was not the main adaptive theme structuring the genetic code.

Algorithms↗

A blind empiricism against the coevolution theory of the origin of the genetic code.

Ronneberg et al. (Proc Natl Acad Sci USA 97:13690-13695, 2000) recently suggested abandoning the coevolution theory of genetic code origin on the basis of two pieces of evidence. They (1) criticize the use of several pairs of amino acids in a precursor-product relationship to support this theory and (2) suggest a new set of codes in which to investigate the statistical bases of the coevolution theory, reaching the conclusion that this theory is not statistically validated in this set. In this paper I critically analyze the robustness of these conclusions. Observations and arguments lead to the belief that the pairs of amino acids in a precursor-product relationship originally used by the coevolution theory are such, or may at least be interpreted as such, and are therefore a manifestation of this theory. Furthermore, the new set of codes that Ronneberg et al. suggest is open to criticism and is thus substituted by the set of amino acid permutation codes, in which even the pairs of amino acids they favor end up by supporting the coevolution theory. Overall, the analysis seems to show that the paper by Ronneberg et al. is of minor scientific value while the coevolution theory seems to be one of the best theories at our disposal for explaining the evolutionary organisation of the genetic code and is, contrary to their claims, statistically well validated.

Base Pairing↗

Second codon positions of genes and the secondary structures of proteins. Relationships and implications for the origin of the genetic code.

The nucleotide frequencies in the second codon positions of genes are remarkably different for the coding regions that correspond to different secondary structures in the encoded proteins, namely, helix, beta-strand and aperiodic structures. Indeed, hydrophobic and hydrophilic amino acids are encoded by codons having U or A, respectively, in their second position. Moreover, the beta-strand structure is strongly hydrophobic, while aperiodic structures contain more hydrophilic amino acids. The relationship between nucleotide frequencies and protein secondary structures is associated not only with the physico-chemical properties of these structures but also with the organisation of the genetic code. In fact, this organisation seems to have evolved so as to preserve the secondary structures of proteins by preventing deleterious amino acid substitutions that could modify the physico-chemical properties required for an optimal structure.

Chemical Phenomena↗

The late stage of genetic code structuring took place at a high temperature.

The correlation between the optimal growth temperature of organisms and a thermophily index based on the propensity of amino acids to enter more frequently into (hyper)thermophile proteins is used to conduct an analysis aiming to establish whether genetic code structuring took place at a low or a high temperature. If the number of codons attributed to the various amino acids in the genetic code constitutes an estimate of the mean amino acid composition of proteins produced when the genetic code was definitively structured, then the thermophily index can also be associated to the genetic code. This value and the sampling of the variable thermophily index of different alignments of protein sequences from mesophile, thermophile and hyperthermophile species make it possible to establish, with an extremely high statistical confidence, that the late stage of genetic code structuring took place in a hyperthermophile (or thermophile) 'organism'. Moreover the 95% confidence interval of the temperature at which the genetic code was fixed turned out to be 91+/-24 degrees C. These observations seem to support the hypothesis that the origin of life might have taken place at a high temperature.

Algorithms↗

The universal ancestor lived in a thermophilic or hyperthermophilic environment.

Galtier et al. (Science 1999, 283, 220-221) exploit the correlation between the optimal growth temperature in prokaryotes and the G+C content of rRNAs and establish that the last universal common ancestor (LUCA) lived in a mesophilic environment. This result was achieved by estimating the G+C content of the ancestral sequences of the rRNAs of the LUCA through use of a complex Markov model. I have re-analysed their alignments of the rDNAs with maximum parsimony and I have found that their result is not robust and is, in all likelihood, incorrect. In particular, the rRNA ancestral sequences reconstructed with maximum parsimony from these rDNA alignments as well as those reconstructed after eliminating all the sites that turn out to be ambiguous to the parsimony algorithm and to a site-by-site inspection of these alignments, are such as to suggest that the LUCA lived in a thermophilic or hyperthermophilic environment. This finding is also supported by some tRNA ancestral sequences. The main conclusion of this analysis is that if the LUCA was a progenote then the origin of life might have taken place at a high temperature.

Animals↗

The robust statistical bases of the coevolution theory of genetic code origin.

A paper (Amirnovin R, J Mol Evol 44:473-476, 1997) seems to undermine the validity of the coevolution theory of genetic code origin by shedding doubt on the connection between the biosynthetic relationships between amino acids and the organization of the genetic code, at a time when the literature on the topic takes this for granted. However, as a few papers cite this paper as evidence against the coevolution theory, and to cast aside all doubt on the subject, we have decided to reanalyze the statistical bases on which this theory is founded. We come to the following conclusions: (1) the methods used in the above referred paper contain certain mistakes, and (2) the statistical foundations on which the coevolution theory is based are extremely robust. We have done this by critically appraising Amirnovin's paper and suggesting an alternative method based on the generation of random codes which, along with the method reported in the literature, allows us to evaluate the significance, in the genetic code, of different sets of amino acid pairs in biosynthetic relationships. In particular, by using this method and after building up a certain set of amino acid pairs reflecting the expectations of the coevolution theory, we show that the presence of this set in the genetic code would be obtained, purely by chance, with a probability of 6x10(-5). This observation seems to provide particularly strong support to the coevolution theory.

Amino Acids↗

The non-monophyletic origin of the tRNA molecule.

The hypothesis that the tRNA molecule may have originated from the assembly of two similar RNA hairpin structures is utilised to understand the evolutionary period in which this molecule originated. Consistent with the exon theory of genes is the observation that the introns in tRNA genes are found almost exclusively in the anticodon loop and "stitched together" the two halves of the molecule, which originally may have been simply two hairpin structures and which can still be observed in the three-dimensional structure of tRNAs. This theory therefore considers these hairpin structures as minigenes on which complex protein synthesis may have been achieved. This in turn leads to the belief that the organisation of the genetic code may have been determined by use of the hairpin structures but not the complete tRNA molecule. In view of this, it can be conjectured that tRNA molecules might have been assembled only after the establishment of the main phyletic lines. If this is all true, then the origin of the tRNA molecule might have been non-monophyletic, i.e. a tRNA specific for a certain amino acid might have been assembled in different phyletic lines with a second and different hairpin structure. This leads to the belief that tRNAs specific for different amino acids but belonging to the same phyletic line might have been more similar to one another than to tRNAs specific for the same amino acid but belonging to different phyletic lines. This prediction seems to be supported by phylogenetic analysis making major use of the bootstrap technique performed on the tRNA sequences and by analysis already existing in the literature which supports the non-monophyletic origin of the tRNA molecule. The main conclusion of this paper is that if the tRNA molecule was assembled in the main phyletic lines this would imply a still rapidly evolving translation apparatus which, in turn, seems to imply that the last universal common ancestor was a progenote.

Amino Acids↗

Physicochemical optimization in the genetic code origin as the number of codified amino acids increases.

We have assumed that the coevolution theory of genetic code origin (Wong JT, Proc Natl Acad Sci USA 72:1909-1912, 1975) is essentially correct. This theory makes it possible to identify at least 10 evolutionary stages through which genetic code organization might have passed prior to reaching its current form. The calculation of the minimization level of all these evolutionary stages leads to the following conclusions. (1) The minimization percentages increased linearly with the number of amino acids codified in the codes of the various evolutionary stages when only the sense changes are considered in the analysis. This seems to favor the physicochemical theory of genetic code origin even if, as discussed in the paper, this observation is also compatible with the coevolution theory. (2) For the first seven evolutionary stages of the genetic code, this trend is less clear and indeed is inverted when we consider the global optimisation of the codes due to both sense changes and synonymous changes. This inverse correlation between minimization percentages and the number of amino acids codified in the codes of the intermediate stages seems to favor neither the physicochemical nor the stereochemical theories of genetic code origin, as it is in the early and intermediate stages of code development that these theories would expect minimization to have played a crucial role, and this does not seem to be the case. However, these results are in agreement with the coevolution theory, which attributes a role to the physicochemical properties of amino acids that, while important, is nevertheless subordinate to the mechanism which concedes codons from the precursor amino acids to the product amino acids as the primary factor determining the evolutionary structuring of the genetic code. The results are therefore discussed in the context of the various theories proposed to explain genetic code origin.

Algorithms↗

Reflections on the origin of the genetic code: a hypothesis.

The origin of the organisation of the genetic code reflects both the biosynthetic relationships between amino acids and the physicochemical interactions between these and anticodons; moreover, these two forces do not act independently. It must therefore be explained why it is simultaneously true that the anticodons of product amino acids were assigned prior to their biosynthetic appearance and that physicochemical correlations must exist between anticodons and amino acids. This gives rise to difficulties of interpretation, even of a more general nature, in the theories that have been proposed to explain the origin of the genetic code; a hypothesis is thus presented in this manuscript. In particular, the hypothesis suggests that RNA hairpin structures, the ancestors of tRNAs, housing anticodon-like nucleotides in the stem were charged with precursor amino acids. As the precursor amino acids gradually developed into product amino acids, a coevolution came into being between the development of amino acids and that of anticodons, with a concomitant formation of the complete tRNA molecule thought direct duplication of the hairpin structures. All this led to the definition of the genetic code organisation. Furthermore, this made it possible for the evolving anticodons to select the emerging product amino acids, which the hypothesis therefore considers to be unspecified in the initial phase of genetic code evolution but which were selected also because of their ability to interact with anticodons. In this way the main obstacle to interpretation is removed. Fossils of these events can now be observed in some amino acid-modified nucleosides specifically located in the tRNA anticodon loops. This is all presented in the framework of a general discussion of the ideas and data in favour of a late origin of the genetic code, as opposed to an early origin in the context of the theories proposed to explain the origin of the genetic code organisation.

Amino Acids↗

The historical factor: the biosynthetic relationships between amino acids and their physicochemical properties in the origin of the genetic code.

Two forces are in general, hypothesized to have influenced the origin of the organization of the genetic code: the physicochemical properties of amino acids and their biosynthetic relationships. In view of this, we have considered a model incorporating these two forces. In particular, we have studied the optimization level of the physicochemical properties of amino acids in the set of amino acid permutation codes that respects the biosynthetic relationships between amino acids. Where the properties of amino acids are represented by polarity and molecular volume we obtain indetermination percentages in the organization of the genetic code of approximately 40%. This indicates that the contingent factor played a significant role in structuring the genetic code. Furthermore, this result is in agreement with the genetic code coevolution hypothesis, which attributes a merely ancillary role to the properties of amino acids while it suggests that it was their biosynthetic relationships that organized the code. Furthermore, this result does not favor the stereochemical models proposed to explain the origin of the genetic code. On the other hand, where the properties of amino acids are represented by polarity alone, we obtain an indetermination percentage of at least 21.5%. This might suggest that the polarity distances played an important role and would therefore provide evidence in favor of the physicochemical hypothesis of genetic code origin. Although, overall, the analysis might have given stronger support to the latter hypothesis, this did not actually occur. The results are therefore discussed in the context of the different theories proposed to explain the origin of the genetic code.

Algorithms↗

Combined transcatheter arterial chemoembolization and percutaneous ethanol injection for the treatment of large hepatocellular carcinoma: local therapeutic effect and long-term survival rate.

The aim of our study was to investigate local therapeutic effects and long-term results of combined transcatheter arterial chemoembolization (TACE) and percutaneous ethanol injection (PEI) in the treatment of large hepatocellular carcinoma (HCC). Eight-six patients (67 males and 19 females, age range 48-75 years, mean age 65.1 years) with Child-Pugh class A (n = 48) or B (n = 38) liver cirrhosis and a large HCC (main tumor 3.1-8 cm in diameter with no more than two daughter nodules) were enrolled in a prospective study. All patients underwent a single TACE session followed by PEI. Follow-up ranged from 4 to 65 months (mean 27.8 months, median 26 months). No major complication occurred. The local therapeutic effect, as assessed on the basis of findings at CT and MR imaging, was complete response in 71 of 86 patients (82 %) and partial response in 15 of 86. Overall survival rates by the Kaplan-Meier method were 92 % at 1 year, 83 % at 2 years, 69 % at 3 years, 58 % at 4 years, and 47 % at 5 years. Survival of Child-Pugh A patients (75 % at 3 years and 59 % at 5 years) was significantly longer (p < 0.01) than that of Child-Pugh B patients (61 % at 3 years and 35 % at 5 years). Combined TACE and PEI is an effective treatment for large HCC.

Actuarial Analysis↗