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Biomedical subjects

M Nei

Publications and source records attributed to M Nei.

At least 73 records · Page 4Linked to original sources

Pseudogenes as a paradigm of neutral evolution.

On the neutral mutation hypothesis, the rate of nucleotide substitution is expected to be higher for functionally less important genes or parts of genes than for functionally more important genes, as the latter would be subject to stronger purifying (negative) selectio. On the other hand, selectionists believe that most nucleotide substitutions are caused by positive darwinian selection, in which case the rate of nucleotide substitution in functionally unimportant genes or parts of genes is expected to be relatively lower because the mutations in these regions of DNA would not produce any significant selective advantages. Kimura and Jukes have argued that the higher substitution rate observed at the third positions of codons than at the first two positions supports the neutral mutation hypothesis, as most third-position substitutions are synonymous and do not change the amino acids encoded, although others have discussed the possibility that third-position substitutions are subject to positive darwinian selection. Recently, Kimura noted that the mouse globin pseudogene, psi alpha 3, evolved faster than the normal mouse alpha 1 gene, although he did not compute the substitution rate. Here, we present a method of computing the rate of nucleotide substitution for pseudogenes, and report that the three recently discovered pseudogenes show an extremely high rate of nucleotide substitution. As these pseudogenes apparently have no function, this finding strongly supports the neutral mutation hypothesis.

Animals

Inter-RNA homology and possible roles of small RNAs.

The nucleotide sequence of a segment of U1 and U3b small RNAs (sRNAs) is shown to have a high complementarity with the nucleotide sequence of a part of the leader region of almost all eukaryotic genes studied so far. The complementary region of U3b is located in the unpaired segment of the secondary structure of U3b constructed by Reddy et al. (1979). A similar complementarity is also observed between these RNAs and the leader regions of eukaryotic viruses, but the complementary region is not always identical with that for eukaryotic genes. Complementarity is also observed between the 3' end of 18S rRNA and a segment of U1 or U3b which is almost contiguous to the region complementary with mRNA. These observations suggest that U1 and U3b may be involved in mRNA processing and transport in the nucleus or in translation in the cytoplasm. In addition to U1 and U3b, another sRNA, i.e., 4.5S RNAI, is shown to have segments which are homologous to the Hogness box of the flanking region of gene and the Proudfoot-Brownlee (PB) box of mRNA near the poly(A) attachment site. The two segments which are complementary with these boxes are located almost contiguously on a co-joined loop of the secondary structure of 4.5S RNAI constructed by Ro-Choi et al. (1972). Since the Hogness box and PB box are both considered as a recognition site by the RNA polymerase, it is possible that 4.5S RNAI is involved in mediating gene transcription.

Animals

Statistical properties of the Jukes-Holmquist method of estimating the number of nucleotide substitutions: reply to Holmquist and Conroy's criticism.

Conducting computer simulations, Nei and Tateno (1978) have shown that Jukes and Holmquist's (1972) method of estimating the number of nucleotide substitutions tends to give an overestimate and the estimate obtained has a large variance. Holmquist and Conroy (1980) repeated some parts of our simulation and claim that the overestimation of nucleotide substitutions in our paper occurred mainly because we used selected data. Examination of Holmquist and Conroy's simulation indicates that their results are essentially the same as ours when the Jukes-Holmquist method is used, but since they used a different method of computation their estimates of nucleotide substitutions differed substantially from ours. Another problem in Holmquist and Conroy's Letter is that they confused the expected number of nucleotide substitution with the number in a sample. This confusion has resulted in a number of unnecessary arguments. They also criticized our X2 measure, but this criticism is apparently due to a misunderstanding of the assumptions of our method and a failure to use our method in the way we described. We believe that our earlier conclusions remain unchanged.

Amino Acid Sequence

DNA polymorphism detectable by restriction endonucleases.

Data on DNA polymorphisms detected by restriction endonucleases are rapidly accumulating. With the aim of analyzing these data, several different measures of nucleon (DNA segment) diversity within and between populations are proposed, and statistical methods for estimating these quantities are developed. These statistical methods are applicable to both nuclear and nonnuclear DNAs. When evolutionary change of nucleons occurs mainly by mutation and genetic drift, all the measures can be expressed in terms of the product of mutation rate per nucleon and effective population size. A method for estimating nucleotide diversity from nucleon diversity is also presented under certain assumptions. It is shown that DNA divergence between two populations can be studied either by the average number of restriction site differences or by the average number of nucleotide differences. In either case, a large number of different restriction enzymes should be used for studying phylogenetic relationships among related organisms, since the effect of stochastic factors on these quantities is very large. The statistical methods developed have been applied to data of Shah and Langley on mitochondrial (mt)DNA from Drosophila melanogaster, simulans and virilis. This application has suggested that the evolutionary change of mtDNA in higher animals occurs mainly by nucleotide substitution rather than by deletion and insertion. The evolutionary distances among the three species have also been estimated.

Base Sequence

Estimation of fitness reduction due to a chronic disease in man.

An improved mathematical method is presented for estimating the amount of fitness reduction due to a chronic disease by using demographic data. It is shown that Cavalli-Sforza and Bodmer's equivalent formula gives an underestimate. Application of the new formula indicates that the selective difference between blood groups O and A, resulting from their association with duodenal ulcer, is 6.4 X 10(-5), i.e. ten times higher than Cavalli-Sforza and Bodmer's estimate.

ABO Blood-Group System

Mathematical model for studying genetic variation in terms of restriction endonucleases.

A mathematical model for the evolutionary change of restriction sites in mitochondrial DNA is developed. Formulas based on this model are presented for estimating the number of nucleotide substitutions between two populations or species. To express the degree of polymorphism in a population at the nucleotide level, a measure called "nucleotide diversity" is proposed.

Base Sequence

Nonrandom amino acid substitution and estimation of the number of nucleotide substitutions in evolution.

A method of estimating the number of nucleotide substitutions from amino acid sequence data is developed by using Dayhoff's mutation probability matrix. This method takes into account the effect of nonrandom amino acid substitutions and gives an estimate which is similar to the value obtained by Fitch's counting method, but larger than the estimate obtained under the assumption of random substitutions (Jukes and Cantor's formula). Computer simulations based on Dayhoff's mutation probability matrix have suggested that Jukes and Holmquist's method of estimating the number of nucleotide substitutions gives an overestimate when amino acid substitution is not random and the variance of the estimate is generally very large. It is also shown that when the number of nucleotide substitutions is small, this method tends to give an overestimate even when amino acid substitution is purely at random.

Amino Acid Sequence

Goodman et al.'s method for augmenting the number of nucleotide substitutions.

Statistical properties of Goodman et al.'s (1974) method of compensating for undetected nucleotide substitutions in evolution are investigated by using computer simulation. It is found that the method tends to overcompensate when the stochastic error of the number of nucleotide substitutions is large. Furthermore, the estimate of the number of nucleotide substitutions obtained by this method has a large variance. However, in order to see whether this method gives overcompensation when applied together with the maximum parsimony method, a much larger scale of simulation seems to be necessary.

Biological Evolution

Subunit molecular weight and genetic variability of proteins in natural populations.

The relationship between subunit molecular weight and heterozygosity was studied in six different groups of organisms, i.e., 9 species of primates, 32 species of rodents, 56 species of reptiles, 12 species of salamanders, 64 species of teleost fishes, and 29 species of Drosophila. The correlation coefficient between them was positive in all groups, and the magnitude of correlation was roughly in agreement with the theoretical expectation under the mutation-drift hypothesis when the incomplete correlation between molecular weight and mutation rate was taken into account. Furthermore, the correlation was higher when the average heterozygosity was high than when this was low, as theoretically expected.

Gene Frequency

Standard error of immunological dating of evolutionary time.

The empirical variance of the immunological distance as measured by microcomplement fixation with albumin is determined. The variance obtained is at least two times larger than the mean when the mean is small and the ratio of the variance to the mean increases with increasing mean. Thus, the immunological dating of evolutionary time has a large standard error. It is shown that in bird lysozymes the relationship between immunological distance (y) and the number of amino acid substitutions per 100 sites (x) is given by y = 4.2 x approximately.

Amino Acid Sequence