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M Nei

Publications and source records attributed to M Nei.

At least 109 records · Page 6Linked to original sources
PubMed1985

Evolutionary change of restriction cleavage sites and phylogenetic inference for man and apes.

A mathematical theory for the evolutionary change of restriction endonuclease cleavage sites is developed, and the probabilities of various types of restriction-site changes are evaluated. A computer simulation is also conducted to study properties of the evolutionary change of restriction sites. These studies indicate that parsimony methods of constructing phylogenetic trees often make erroneous inferences about evolutionary changes of restriction sites unless the number of nucleotide substitutions per site is less than 0.01 for all branches of the tree. This introduces a systematic error in estimating the number of mutational changes for each branch and, consequently, in constructing phylogenetic trees. Therefore, parsimony methods should be used only in cases where nucleotide sequences are closely related. Reexamination of Ferris et al.'s data on restriction-site differences of mitochondrial DNAs does not support Templeton's conclusions regarding the phylogenetic tree for man and apes and the molecular clock hypothesis. Templeton's claim that Nei and Li's method of estimating the number of nucleotide substitutions per site is seriously affected by parallel losses and loss-gains of restriction sites is also unsupported.

Animals↗
PubMed1985

Genetic relationships between Indians and their neighboring populations.

Using gene frequency data for 18 protein and blood group loci, we studied the genetic relationships of four Indian subcontinent populations (peoples from Punjab, Gujarati, Andhra Pradesh, and Bangladesh) with their neighboring populations (Iranians, Afghans, Sinhalese in Sri Lanka, Nepalese, Bhutanese, Malays, Bataks in northern Sumatra, and Chinese). The results obtained indicate that the four Indian subcontinent populations and the Sinhalese are genetically closer to Iranians and Afghans (Caucasoid) than to the other neighboring Mongoloid populations. Genetic distance analysis shows a clear-cut dichotomy between the Caucasoid and Mongoloid populations.

Asian People↗
PubMed1984

Concerted evolution of the immunoglobulin VH gene family.

With the aim of understanding the concerted evolution of the immunoglobulin VH multigene family, a phylogenetic tree for the DNA sequences of 16 mouse and five human germ line genes was constructed. This tree indicates that all genes in this family have undergone substantial evolutionary divergence. The most closely related genes so far identified in the mouse genome seem to have diverged about 6 million years (MY) ago, whereas the most distantly related genes diverged about 300 MY ago. This suggests that gene duplication caused by unequal crossing-over or gene conversion occurs very slowly in this gene family. The rate of occurrence of gene duplication in the VH gene family has been estimated to be 5 x 10(-7) per gene per year, which seems to be at least about 100 times lower than that for the rRNA gene family. This low rate of concerted evolution in the VH gene family helps retain intergenic genetic variability that in turn contributes to antibody diversity. Because of accumulation of destructive mutations, however, about one-third of the mouse and human VH genes seem to have become nonfunctional. Many of these pseudogenes have apparently originated recently, but some of them seem to have existed in the genome for more than 10 MY. The rate of nucleotide substitution for the complementarity-determining regions (CDRs) is as high as that of pseudogenes. This suggests that there is virtually no purifying selection operating in the CDRs and that germ line mutations are effectively used for generating antibody diversity.

Amino Acid Sequence↗
PubMed1984

Estimation of evolutionary distance between nucleotide sequences.

A mathematical formula for estimating the average number of nucleotide substitutions per site (delta) between two homologous DNA sequences is developed by taking into account unequal rates of substitution among different nucleotide pairs. Although this formula is obtained for the equal-input model of nucleotide substitution, computer simulations have shown that it gives a reasonably good estimate for a wide range of nucleotide substitution patterns as long as delta is equal to or smaller than 1. Furthermore, the frequency of cases to which the formula is inapplicable is much lower than that for other similar methods recently proposed. This point is illustrated using insulin genes. A statistical method for estimating the number of nucleotide changes due to deletion and insertion is also developed. Application of this method to globin gene data indicates that the number of nucleotide changes per site increases with evolutionary time but the pattern of the increase is quite irregular.

Biological Evolution↗
PubMed1984

On the positive identification of paternity.

Valentin's criticism of Majumder and Nei's [1983] paper is apparently based on his misunderstanding of the latter authors' attitude and approach to paternity test problems.

Computers↗
PubMed1983

Accuracy of estimated phylogenetic trees from molecular data. II. Gene frequency data.

The accuracies and efficiencies of three different methods of making phylogenetic trees from gene frequency data were examined by using computer simulation. The methods examined are UPGMA, Farris' (1972) method, and Tateno et al.'s (1982) modified Farris method. In the computer simulation eight species (or populations) were assumed to evolve according to a given model tree, and the evolutionary changes of allele frequencies were followed by using the infinite-allele model. At the end of the simulated evolution five genetic distance measures (Nei's standard and minimum distances, Rogers' distance, Cavalli-Sforza's f theta, and the modified Cavalli-Sforza distance) were computed for all pairs of species, and the distance matrix obtained for each distance measure was used for reconstructing a phylogenetic tree. The phylogenetic tree obtained was then compared with the model tree. The results obtained indicate that in all tree-making methods examined the accuracies of both the topology and branch lengths of a reconstructed tree (rooted tree) are very low when the number of loci used is less than 20 but gradually increase with increasing number of loci. When the expected number of gene substitutions (M) for the shortest branch is 0.1 or more per locus and 30 or more loci are used, the topological error as measured by the distortion index (dT) is not great, but the probability of obtaining the correct topology (P) is less than 0.5 even with 60 loci. When M is as small as 0.004, P is substantially lower. In obtaining a good topology (small dT and high P) UPGMA and the modified Farris method generally show a better performance than the Farris method. The poor performance of the Farris method is observed even when Rogers' distance which obeys the triangle inequality is used. The main reason for this seems to be that the Farris method often gives overestimates of branch lengths. For estimating the expected branch lengths of the true tree UPGMA shows the best performance. For this purpose Nei's standard distance gives a better result than the others because of its linear relationship with the number of gene substitutions. Rogers' or Cavalli-Sforza's distance gives a phylogenetic tree in which the parts near the root are condensed and the other parts are elongated. It is recommended that more than 30 loci, including both polymorphic and monomorphic loci, be used for making phylogenetic trees. The conclusions from this study seem to apply also to data on nucleotide differences obtained by the restriction enzyme techniques.

Algorithms↗
PubMed1983

Models of evolution of reproductive isolation.

Mathematical models are presented for the evolution of postmating and premating reproductive isolation. In the case of postmating isolation it is assumed that hybrid sterility or inviability is caused by incompatibility of alleles at one or two loci, and evolution of reproductive isolation occurs by random fixation of different incompatibility alleles in different populations. Mutations are assumed to occur following either the stepwise mutation model or the infinite-allele model. Computer simulations by using Itô's stochastic differential equations have shown that in the model used the reproductive isolation mechanism evolves faster in small populations than in large populations when the mutation rate remains the same. In populations of a given size it evolves faster when the number of loci involved is large than when this is small. In general, however, evolution of isolation mechanisms is a very slow process, and it would take thousands to millions of generations if the mutation rate is of the order of 10(-5) per generation. Since gene substitution occurs as a stochastic process, the time required for the establishment of reproductive isolation has a large variance. Although the average time of evolution of isolation mechanisms is very long, substitution of incompatibility genes in a population occurs rather quickly once it starts. The intrapopulational fertility or viability is always very high. In the model of premating isolation it is assumed that mating preference or compatibility is determined by male- and female-limited characters, each of which is controlled by a single locus with multiple alleles, and mating occurs only when the male and female characters are compatible with each other. Computer simulations have shown that the dynamics of evolution of premating isolation mechanism is very similar to that of postmating isolation mechanism, and the mean and variance of the time required for establishment of premating isolation are very large. Theoretical predictions obtained from the present study about the speed of evolution of reproductive isolation are consistent with empirical data available from vertebrate organisms.

Alleles↗
PubMed1983

Maximum likelihood estimation of the number of nucleotide substitutions from restriction sites data.

A simple method of the maximum likelihood estimation of the number of nucleotide substitutions is presented for the case where restriction sites data from many different restriction enzymes are available. An iteration method, based on nucleotide counting, is also developed. This method is simpler than the maximum likelihood method but gives the same estimate. A formula for computing the variance of a maximum likelihood estimate is also presented.

Animals↗
PubMed1983

Estimation of fixation indices and gene diversities.

Considering the multinomial sampling of genotypes, unbiased estimators of various gene diversity measures in subdivided populations are presented. Using these quantities, formulae for estimating Wright's fixation indices (FIS, FIT, and FST) from a finite sample are developed.

Acid Phosphatase↗
PubMed1983

A note on positive identification of paternity by using genetic markers.

To see the efficiency of the statistical methods for positive identification of fathers using genetic markers, the statistical properties of the paternity index are studied algebraically and numerically. It is found that the currently used statistical methods are not powerful enough to discriminate between true fathers and non-excluded non-fathers, and, more often than not, may lead to false attributions of paternity. It is, therefore, suggested that exclusion of paternity is the only conclusive evidence that can be accepted by courts of law until better methods are devised.

Adult↗
PubMed1983

Differences in the relative distribution of human gene diversity between electrophoretic and red and white cell antigen loci.

Gene frequency data for 25 loci (2 HLA loci, 9 blood group loci, and 14 electrophoretically detectable loci) were collected from the literature of 18 human populations from all over the world. The data were subjected to a hierarchical gene diversity analysis to provide an estimate of the relative distribution of genetic variation between and within populations and population groups for different types of loci. Two different ways of grouping the populations, i.e., according to anthropological criteria and to a cluster analysis based on gene frequency data, gave essentially the same results. For all loci combined approximately 86% of total gene diversity was found within populations, 3% was associated with differences between populations within groups, and 11% related to group differences. These results are very similar to those obtained in previous studies based on fewer loci and different sets of populations. The distribution of genetic variation is different for different types of loci. The HLA loci give a picture very similar to that of the electrophoretic loci while the blood group loci have a substantially larger fraction of the total gene diversity distributed between populations or population groups.

Blood Group Antigens↗
PubMed1982

Biases of the estimates of DNA divergence obtained by the restriction enzyme technique.

A mathematical formula for the relationship between the average number of nucleotide substitutions per site and the proportion of shared restriction sites between two homologous nucleons is developed by taking into account the unequal rates of substitution among different pairs of nucleotides. Using this formula, the possible amount of bias of the estimate of the number of nucleotide substitutions obtained by the Upholt-Nei-Li formula for restriction site data is investigated. The results obtained indicate that the bias depends upon the nucleotides in the recognition sequence of the restriction enzyme used, the unequal rates of substitution among different nucleotides, and the unequal nucleotide frequencies, but the primary factor is the unequal rates of nucleotide substitution. The amount of bias is generally larger for four-base enzymes than for six-base enzymes. However, when many restriction enzymes are used for the study of DNA divergence, the bias is unlikely to be very large unless the rate of substitution greatly varies from nucleotide to nucleotide.

Base Composition↗
PubMed1982

Accuracy of estimated phylogenetic trees from molecular data. I. Distantly related species.

The accuracies and efficiencies of four different methods for constructing phylogenetic trees from molecular data were examined by using computer simulation. The methods examined are UPGMA, Fitch and Margoliash's (1967) (F/M) method, Farris' (1972) method, and the modified Farris method (Tateno, Nei, and Tajima, this paper). In the computer simulation, eight OTUs (32 OTUs in one case) were assumed to evolve according to a given model tree, and the evolutionary change of a sequence of 300 nucleotides was followed. The nucleotide substitution in this sequence was assumed to occur following the Poisson distribution, negative binomial distribution or a model of temporally varying rate. Estimates of nucleotide substitutions (genetic distances) were then computed for all pairs of the nucleotide sequences that were generated at the end of the evolution considered, and from these estimates a phylogenetic tree was reconstructed and compared with the true model tree. The results of this comparison indicate that when the coefficient of variation of branch length is large the Farris and modified Farris methods tend to be better than UPGMA and the F/M method for obtaining a good topology. For estimating the number of nucleotide substitutions for each branch of the tree, however, the modified Farris method shows a better performance than the Farris method. When the coefficient of variation of branch length is small, however, UPGMA shows the best performance among the four methods examined. Nevertheless, any tree-making method is likely to make errors in obtaining the correct topology with a high probability, unless all branch lengths of the true tree are sufficiently long. It is also shown that the agreement between patristic and observed genetic distances is not a good indicator of the goodness of the tree obtained.

Base Sequence↗
PubMed1982

Estimation of average number of nucleotide substitutions when the rate of substitution varies with nucleotide.

A formal mathematical analysis of Kimura's (1981) six-parameter model of nucleotide substitution for the case of unequal substitution rates among different pairs of nucleotides is conducted, a new formulae for estimating the number of nucleotide substitutions and its standard error are obtained. By using computer simulation, the validities and utilities of Jukes and Cantor's (1969) one-parameter formula, Takahata and Kimura's (1981) four-parameter formula, and our six-parameter formula for estimating the number of nucleotide substitutions are examined under three different schemes of nucleotide substitution. It is shown that the one-parameter and four-parameter formulae often give underestimates when the number of nucleotide substitutions is large, whereas the six-parameter formula generally gives a good estimate for all the three substitution schemes examined. However, when the number of nucleotide substitutions is large, the six-parameter and four-parameter formulae are often inapplicable unless the number of nucleotides compared is extremely large. It is also shown that as long as the mean number of nucleotide substitutions is smaller than one per nucleotide site the three formulae give more or less the same estimate regardless of the substitution scheme used.

Base Sequence↗
PubMed1982

Utility and efficiency of linked marker genes for genetic counseling. II. Identification of linkage phase by offspring phenotypes.

For a linked marker locus to be useful for genetic counseling, the counselee must be heterozygous for both disease and marker loci and his or her linkage phase must be known. It is shown that when the phenotypes of the counselee's previous children for the disease and marker loci are known, the linkage phase can often be inferred with a high probability, and thus it is possible to conduct genetic counseling. To evaluate the utility of linked marker genes for genetic counseling, the accuracy of prediction of the risk for a prospective child with a given marker gene to develop the genetic disease and the proportion of families in which a particular marker locus can be used for genetic counseling are studied for X-linked recessive, autosomal dominant, and autosomal recessive diseases. In the case of X-linked genetic diseases, information from children is very useful for determining the linkage phase of the counselee and predicting the genetic disease. In the case of autosomal dominant diseases, not all children are informative, but if the number of children is large, the phenotypes of children are often more informative than the information from grandparents. In the case of autosomal recessive diseases, information from grandparents is usually useless, since they show a normal phenotype for the disease locus. If we use information on the phenotypes of children, however, the linkage phase of the counselee and the risk of a prospective child can be inferred with a high probability. The proportion of informative families depends on the dominance relationship and frequencies of marker alleles, and the number of children. In general, codominant markers are more useful than are dominant markers, and a locus with high heterozygosity is more useful than is a locus with low heterozygosity.

Alleles↗
PubMed1982

Evolution of human races at the gene level.

Using gene frequency data for 62 protein loci and 23 blood group loci, we studied the genetic relationship of the three major races of man, Caucasoid, Negroid, and Mongoloid. Genetic distance data indicate that Caucasoid and Mongoloid are somewhat closer to each other than to Negroid. Analysis of restriction site data for mitochondrial DNA also shows the same genetic relationship. It seems that the Negroid and the Caucasoid-Mongoloid groups diverged about 110,000 +/- 34,000 years ago, whereas Caucasoid and Mongoloid diverged about 41,000 +/- 15,000 years ago. The genetic relationships of various races in each group of Caucasoid, Negroid, and Mongoloid were also studied. All European populations are genetically close to one another except the Lapps, whereas many African, Oceanian, and Amer-indian tribes show large extents of genetic differentiation. The major cause for this differentiation seems to be the bottleneck effect. The Polynesians, Micronesians, and Indonesians are more closely related to the Asian Mongoloids than to the Australoids in Australia and New Guinea. There are also indications that migration played an important role in forming the current genetic relationships among human races. The extent of genetic differentiation between human races is not always correlated with the degree of morphologic differentiation. The genetic differentiation at protein loci seems to occur largely by mutation, genetic drift, and isolation, whereas morphologic characters are apparently subject to stronger natural selection than "average protein loci."

Asian People↗