data to optimise patterns of descent.
In some cases individual STs could be linked to (descended from) more than one
ST and the eBURST diagram provides only one hypothesis for the patterns of descent.
eBURST uses a set of rules that attempts to maximise the number of SLVs associated
with the primary founder and the subgroup founders and there are many equally
plausible minor variants of the arrangement of STs in a complex eBURST diagram.
This is somewhat similar to the construction of a phylogenetic tree, where there
may be a large number of approximately equally plausible trees, which differ
slightly in the branching order, but only one of them is displayed. Additional
information can be used in some cases to further explore the patterns of descent
implied by an eBURST diagram. For example, one SLV may have gained resistance
to antibiotics, and may have diversified to become a subgroup founder, with all
of its descendent STs also being antibiotic-resistant. However, there may be
another ST that is resistant to the antibiotic but has not been linked by eBURST
to the subgroup that includes the antibiotic-resistant STs. T
he ability to highlight all the SLVs (and DLVs) of this ST (see
here) will show how it relates to the members of the antibiotic-resistant
subgroup, and whether it appears to be an independently derived antibiotic-resistant
ST, or is an SLV of one of the resistant subgroup and could more plausibly be
linked within the subgroup of resistant STs. Similarly, other data (e.g. differences
in serotypes within a clonal complex) may suggest equally parsimonious re-arrangements
of the linkages between some STs shown in the eBURST diagram that make the patterns
of descent more biologically plausible. The ability to show all SLVs (pink) and
DLVs (blue) of any selected ST helps to explore alternative equally plausible
patterns of descent (Figure 4).