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Notes: Abstract Due to the increase of human migrations, the appearance of emerging and reemerging endemies, growing antibiotic resistance, and climatic changes, infectious diseases most probably constitute the major challenge for medicine in the next century. The advent of molecular methods of pathogen characterization has considerably improved our knowledge of the epidemiology of these diseases. However, the use of concepts of evolutionary genetics for interpreting "molecular epidemiology" data remains limited, although the application of such methods would broaden considerably the scope of this field of research, and allow epidemiologic and taxonomic approaches to be ascertained on a much firmer basis. In turn, pathogens, hosts, and vectors provide fascinating models for basic research. The artificial character of the border between "basic" and "applied" research is especially apparent with regard to the "integrated genetic epidemiology of infectious diseases" concept. The goal of this chapter is to evaluate the respective impact, on the transmission and pathogenicity of infectious diseases, of the host's, the pathogen's, and the vector's (for vector-borne diseases) genetic diversity, and the interactions between these three parameters (coevolution phenomena).

Notes: Abstract I propose here that evolutionary genetics, apart from improving our basic knowledge of the taxonomy and evolution of microbes (either eukaryotes or prokaryotes), can also greatly contribute to applied research in microbiology. Evolutionary genetics provides convenient guidelines for better interpreting genetic and molecular data dealing with microorganisms. The three main potential applications of evolutionary genetics in microbiology are (a) epidemiological follow-up (with the necessity of evaluating the stability off microbial genotypes over space and time); (b) taxonomy in the broad sense (better definition and sharper delimitation of preesently described taxa, research of hidden genetic subdivisions); and ( c) evaluation of the impact of the genetic diversity of microbes on their relevant properties (pathogenicity, resistance to drugs, etc). At present, two main kinds of population structure can be distinguished in natural microbial populations: (a) species that are not subdivided into discrete phylogenetic lineages (panmictic species or basically sexual species witth occasional bouts of short-term clonality fall into this category); (b) species that are strongly subdivided by either cryptic speciation or clonal evolution. Improvements in available statistical methods are required to refine these distinctions and to better quantify the actual impact of gene exchange in natural microbial populations. Moreover, a codified selection of markers with appropriate molecular clocks (in other words: adapted levels of resolution) is sorely needed to answer distinct questions that address different scales of time and space: experimental, epidemic, and evolutionary. The problems raised by natural genetic diversity are very similar for all microbial species, in terms of both basic and applied science. Despite this fact, a regrettable compartmentalization among specialists has hampered progress in this field. I propose a synthetic approach, relying on the statistical improvements and technical standardizations called for above, to settle a unified evolutionary genetics of microorganisms, valid whatever the species studied, whether eukaryotic (parasitic protozoa and fungi) or prokaryotic (bacteria). Apart from benefits for basic evolutionary research, the anticipated payoff from this synthetic approach is to render routine and commonplace the use of microbial evolutionary genetics in the fields of epidemiology, medicine, and agronomy.