  This paper introduces a stochastic adaptive dynamics model for the interplay
of several crucial traits and mechanisms in bacterial evolution, namely
dormancy, horizontal gene transfer (HGT), mutation and competition. In
particular, it combines the recent model of Champagnat, M\'el\'eard and Tran
(2021) involving HGT with the model for competition-induced dormancy of Blath
and T\'obi\'as (2020).
  Our main result is a convergence theorem which describes the evolution of the
different traits in the population on a `doubly logarithmic scale' as
piece-wise affine functions. Interestingly, even for a relatively small trait
space, the limiting process exhibits a non-monotone dependence of the success
of the dormancy trait on the dormancy initiation probability. Further, the
model establishes a new `approximate coexistence regime' for multiple traits
that has not been observed in previous literature.
