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The dataset of sequences was classified in four groups under different hypotheses: a) depending on the host of origin (all possible combinations) and b) randomly.
Prediction of host of origin to 3 host sources on the basis of alleles is shown in Table 4.
Giraud et al. [ 24] defined host range expansions as the evolution of the ability to exploit a novel host in addition to the host of origin.
Table S6 [Additional file 6] provides a list of the 51 R. solanacearum strains used in microarray experiments, with their geographical origin and host of origin.
These overall results emphasize the limits in using an ST or clonal complex as a summary of MLST when predicting host of origin.
Domestic animal isolates were selected for study on the basis of host of origin, date of isolation, and geographic origin, all of which were independent.
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This variable was analyzed with a generalized linear model including test host, host species of origin, and their interaction, with an exponential distribution and canonical (reciprocal) link function.
The extent of differentiation and specialization of R. solani AG populations is probably dependent on the degree of relatedness of their hosts of origin as seen from our results where our isolates were closely related to AG 1-1A that was reported to be the anastomosis group involved in rice infections [ 1].
Although the strains were originally isolated from different host species, it is unlikely that the differences that were found between them were related to their host species of origin [ 11].
Generally, they did not cluster according to host species of origin, and isolates from a given species were distributed throughout the dendrogram.
All S. bechsteini populations were significantly differentiated from one another, and it was possible to assign mites to subpopulations according to their host colony of origin.
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