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S Nee

Publications and source records attributed to S Nee.

26 records · Page 2Linked to original sources

Population genetics and dynamics of Plasmodium falciparum: an ecological view.

Molecular characterization of the Plasmodium falciparum genome has led to identification of polymorphic loci and the mechanisms generating genetic diversity in this parasite. This information has resulted in the development of molecular methods to type parasite diversity in the field. Consequently, we are now in a position to describe the population genetics and dynamics of P. falciparum. The limited number of field studies that have been conducted to date have revealed an extraordinary degree of genetic diversity in natural parasite populations. Heterozygous recombination which occurs during meiosis appears to be one mechanism for generating genetic diversity. The rate at which such recombination occurs in natural parasite populations defines the genetic structure of the parasite population and can influence the ability of the parasite to respond to selection pressure. The high frequency of single genotype infections and the female-biased gametocyte sex ratios found in hyperendemic malaria areas suggest that self-fertilization occurs frequently. Population-wide surveys of allele frequencies in endemic areas have, however, shown no evidence of linkage disequilibrium and are consistent with a panmictic population structure. We argue that these studies have only sampled symptomatic infections, within which rare or recombinant genotypes may be disproportionately represented. They also take no account of the spatial structure of P. falciparum populations. Systematic investigations of the amount of heterozygosity in small areas as part of population-wide surveys are required to define the genetic structure of P. falciparum populations. Population dynamic studies which consider genetic heterogeneity of P. falciparum have shown fluctuations of different serotypes in space and time. The host immune response appears to play an important role in generating these dynamics. Integrated field and laboratory studies, which consider the interaction between population genetics and dynamics, will be necessary to describe the population biology of P. falciparum.

Animals↗

Does Hamilton's rule describe the evolution of reciprocal altruism?

On intuitive grounds, many have felt that Hamilton's Rule, br greater than c, should describe the evolution of reciprocal altruism and "green beard" genes. However, difficulties have been encountered in applying the rule to situations in which the benefits an individual receives are a function of his own phenotype as well as that of his partner. These difficulties are resolved by recognising that there are two important coefficients of genetic relatedness: r1 is the coefficient already familiar to sociobiologists from the applications of Hamilton's Rule to kin selection; r2 is the coefficient of genetic relatedness between individuals who express the same phenotype. It is shown that the r in Hamilton's Rule is a weighted average of these two coefficients. The weights, along with r1 and r2, are intuitively meaningful. A remarkable fact is that r2 = 1, regardless of how genotype determines phenotype.

Altruism↗

Antagonistic co-evolution and the evolution of genotypic randomization.

Antagonistic co-evolution, such as the pursuit and flight of host-parasite co-evolution, easily generates cyclical co-evolutionary dynamics. It is well known that a fluctuating, contrary environment may favour the evolution of recombination, but previous analyses have shown that the optimal rate of recombination declines as the period of the environmental fluctuations gets longer. It is here shown that the direction of selection for recombination (for higher or lower rates) may only be sensitive to fluctuation period if the fluctuations are generated by non-co-evolving features of the environment, such as changes in climate. In the simple model of this paper, co-evolutionary cycling provides an advantage for recombination that is independent of period length. This independence of period length necessitates a new framework for understanding the advantage of recombination in the context of co-evolution. In the model studied in this paper it is the phase difference of the host and parasite trajectories that is the relevant feature, and phase relationships are independent of the co-evolutionary cycle time. That is, the phase difference of the oscillations is independent of their frequency.

Biological Evolution↗

The evolution of multicompartmental genomes in viruses.

The genetic information of many viruses is divided between separately encapsidated nucleic acid molecules. A simple evolutionary model is constructed to explain this phenomenon. All multicompartmental viruses infect plants, and most are RNA viruses. The former fact may be due to the high transmission multiplicities enjoyed by plant viruses. The latter may be due to the low replication fidelity of RNA, although another explanation is also offered. The logic of the analysis is contrasted with that of previous explanations. In particular, this paper proceeds from a "selfish DNA" viewpoint. It is not necessary to suppose that the division of the genome fills any adaptive function for the virus. The theory makes testable predictions about the parameters of multicompartmental viruses.

Biological Evolution↗