Bovine tuberculosis

(Barry) #1

70 R.A. Skuce et al.


whole-genome approaches are likely to become
the new standard for molecular epidemiology
(Didelot et al., 2012).


5.9 Conclusions

The population structure of M. bovis and the
performance characteristics of molecular and
genomic epidemiology support their use in
molecular surveillance and to answer detailed
epidemiological questions of direct policy rele-
vance. They should offer powerful and practical
‘decision-support’ tools for investigating the
maintenance and spread of bovine TB. These
approaches should more accurately identify
clusters and unsuspected transmission events,
particularly where the breakdown index case
can be identified as an ‘out of home range’ cattle
movement. This provides a unique opportunity
to monitor and quantify the extent, if any, of
secondary (cattle–cattle) spread within and
between herds, and any spillover/spillback
involving local wildlife.
The M. bovis population structure is partic-
ularly, maybe even uniquely, amenable to this
approach. Molecular and genomic epidemiology
has the performance characteristics to support
its use as a surveillance and investigative tool,
to monitor the efficacy of current control


programmes and future interventions. It has the
potential to refine the modelling and analysis of
detailed epidemiological questions. The applica-
tion to epidemiological and evolutionary studies
provides unique and valuable insights into the
current bovine TB epidemic.
There remain opportunities to investigate,
in a structured manner, what molecular and
genomic epidemiology data tell us about TB in
sporadic, multi-reactor, persistent, recurrent
and restocked herds, etc. It is predictable that
this technology will become more useful as the
epidemic (hopefully) declines. One reason why
human TB genomic epidemiology can currently
make stronger inferences about transmission
dynamics is that the epi-system is significantly
less complex. For bovine TB, there are multiple
exposed hosts (cattle and wildlife) and the poten-
tial for the environment to be contaminated.
Consequently, it is currently very challenging to
disaggregate these, especially at a local scale.
However, should TB in cattle be substantially
reduced, it will become relatively more straight-
forward to assess spillover and which wildlife
hosts/populations are spilling over. Pathogen
genotyping continues to unravel the biology of
mycobacteria and offers significant promise in
the fight against and prevention of the diseases
caused by these troublesome pathogens
( Wlodarska et al., 2015).

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