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• W995669732 abstract "In the multilocus Fisher-Wright model allele frequencies and the combinations of alleles (STs) fluctuate solely through genetic drift. Using multiple loci prevents recombination from obscuring the relationships between strains, because a change at one locus will not alter the information about relationships between strains present at the others. Computer simulation of bacterial populations is complementary to an analytic approach. Furthermore, simulation of the evolution of bacterial populations provides an alternative means of testing hypotheses: the effects of various evolutionary scenarios may be explored by introducing them into a simulation based on the neutral model. An example of this type of approach is discussed in this chapter, where the conditions under which an evolving bacterial population splits into separate clusters, mimicking speciation, are explored. In sum, while coalescent analyses may be the most appropriate for individual loci, and certainly have a much wider body of theoretical work to draw on than the methods discussed in the chapter, the authors are excited by the potential of methods such as multilocus sequence typing (MLST) that consider the genetics of populations of strains rather than of individual loci, to demonstrate forces other than neutrality influencing the structure of populations. The chapter also talks about the modeling of alleles and their association using recently developed techniques designed to simulate and analyze data sets obtained from MLST studies." @default.
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• W995669732 date "2014-04-30" @default.
• W995669732 modified "2023-09-22" @default.
• W995669732 title "Multilocus Models of Bacterial Population Genetics" @default.
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• W995669732 doi "https://doi.org/10.1128/9781555815639.ch10" @default.
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