In the first two sections it is shown that the Fleming-Viot process

$Z$ can be obtained as limit of the empirical measures of a certain particle system

$({X}_{1},{X}_{2},\cdots )$:

$Z\left(t\right)={lim}_{n\to \infty}\frac{1}{n}{\sum}_{i=1}^{n}{\delta}_{{X}_{k}\left(t\right)}$. The interaction among the particles

${X}_{1},{X}_{2},\cdots $ has a relatively simple description. Thus the above representation turns out to be a useful device, which is applied in the three subsequent sections of this article to derive a variety of properties of the Fleming-Viot process

$Z$. First a connection between the genealogical structure of the population model and the particle system

$({X}_{1},{X}_{2},\cdots )$ is established. Then a criterion for the strong ergodicity of

$Z$ is given, and the speed of convergence to equilibrium is analyzed. The final section is devoted to the derivation of numerous support properties of the sample paths of

$Z$. Some of these assertions extend previously known results to the case of more general mutation operators.