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G Preparata

Publications and source records attributed to G Preparata.

24 records · Page 2Linked to original sources

Transition and transversion rate in the evolution of animal mitochondrial DNA.

We present a further application of the stochastic model previously described (Lanave et al., 1984, 1985) for measuring the nucleotide substitution rate in the mammalian evolution of the mitochondrial DNA (mtDNA). The applicability of this method depends on the validity of "stationarity conditions" (equal nucleotide frequencies at first, second and third silent codon positions in homologous protein coding genes). In the comparison of homologous sequences satisfying the stationarity condition at the silent sites, only the four codon families (quartets) for which both transitions and transversions are silent at the third position are considered here. This has allowed us to estimate the transition and transversion rates for any pair of species. We have analyzed the third silent codon position of the triplet rat-mouse-cow, of a series of slightly divergent primates and of two Drosophila species. In terms of two external dating input we have then determined the phylogenetic trees for rat, mouse, and cow as well as for a number of primates including man. The phylogenetic tree that we have derived for the triplet rat, mouse and cow agrees with that we had previously determined by analyzing the first, second and third silent codon positions (in both duets and quartets) of mt genes (Lanave et al., 1985). For primates our method leads to the following branching order from the oldest to the most recent: Gibbon, Orangutan, Gorilla, Chimpanzee and Man. In absolute time, fixing the distance Chimpanzee-Man as 5 million years (Myr) we estimate the dating of the divergence nodes as: Gorilla 7 Myr; Orangutan 16 Myr; Gibbon 20 Myr. In all cases analyzed, the transition rate has been found to be substantially higher than the transversion rate. Moreover we have found that the transition/transversion ratio is different in the various lineages. We suggest that this fact is probably related to the nucleotide frequencies at the third silent codon position.

Animals↗

Multisequence comparisons in protein coding genes. Search for functional constraints.

A very powerful method for detecting functional constraints operative in biological macromolecules is presented. This method entails performing a base permanence analysis of protein coding genes at each codon position simultaneously in different species. It calculates the degree of permanence of subregions of the gene by dividing it into segments, c codons long, counting how many sites remain unchanged in each segment among all species compared. By comparing the base permanence among several sequences with the expectations based on a stochastic evolutionary process, gene regions showing different degrees of conservation can be selected. This means that wherever the permanence deviates significantly from the expected value generated by the simulation, the corresponding regions are considered "constrained" or "hypervariable". The constrained regions are of two types: alpha and beta. The alpha regions result from constraints at the amino acid level, whereas the beta regions are those probably involved in "control" processing. The method has been applied to mitochondrial genes coding for subunit 6 of the ATPase and subunit 1 of the cytochrome oxidase in four mammalian species: human, rat, mouse, and cow. In the two mitochondrial genes a few regions that are highly conserved in all codon positions have been identified. Among these regions a sequence, common to both genes, that is complementary to a strongly conserved region of 12S rRNA has been found. This method can also be of great help in studying molecular evolution mechanisms.

Amino Acid Sequence↗

A new method for calculating evolutionary substitution rates.

In this paper we present a new method for analysing molecular evolution in homologous genes based on a general stationary Markov process. The elaborate statistical analysis necessary to apply the method effectively has been performed using Monte Carlo techniques. We have applied our method to the silent third position of the codon of the five mitochondrial genes coding for identified proteins of four mammalian species (rat, mouse, cow and man). We found that the method applies satisfactorily to the three former species, while the last appears to be outside the scope of the present approach. The method allows one to calculate the evolutionarily effective silent substitution rate (vs) for mitochondrial genes, which in the species mentioned above is 1.4 X 10(-8) nucleotide substitutions per site per year. We have also determined the divergence time ratios between the couples mouse-cow/rat-mouse and rat-cow/rat-mouse. In both cases this value is approximately 1.4.

Animals↗

Mammalian genes as molecular clocks?

In analyzing the silent nucleotide substitutions in some mammalian mitochondrial mRNA coding genes, we had found that the frequency of each of the four nucleotides in rat, mouse, and cow, but not in humans, is the same in the silent third codon position (Lanave C, Preparata G, Saccone C, Serio G (1984) J Mol Evol 20:86-93). Because our findings for these three species were compatible with a stationary Markov process for the evolution of nucleotide sequences, we applied such a model to calculate the effective evolutionary silent substitution rate (vs) and the divergence times among the species. In this paper we have analyzed the first and second codon positions in the same mammalian mitochondrial genes. We found that in the first and second codon positions the human mitochondrial genes satisfy the stationarity conditions. This has allowed us to use the stochastic model mentioned above to calculate the divergence times among mouse, rat, cow, and human. Furthermore, we have analyzed the silent substitution rate in one nuclear gene for these four mammals. We found that in this gene the effective silent substitution rate is about 3 times lower than in mitochondrial genes, and that humans are in this case stationary with respect to the other three mammals in the third codon position as well. Application of our Markov model to this latter gene yields divergence times consistent with our previous determinations.

Animals↗