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Attributes and congruence of three molecular data sets: inferring phylogenies among Septoria-related species from woody perennial plants
Authors:Feau Nicolas  Hamelin Richard C  Bernier Louis
Affiliation:Centre de Recherche en Biologie Forestière, Université Laval, Sainte-Foy, Que., Canada G1K 7P4.
Abstract:To improve our understanding of phylogenetic relationships within the anamorphic genus Septoria, three molecular data sets representing 2,417 bp of nuclear and mitochondrial genes were evaluated. Separate gene analyses and combined analyses were performed using first, the maximum parsimony criterion and second, a Bayesian framework. The homogeneity of data partitions was evaluated via a combination of homogeneity partition tests and tree topology incongruence tests before conducting combined analyses. A last incongruence re-evaluation using partitioned Bremer support was performed on the combined tree, which corroborated the previous estimates. After each separate data set attributes were examined, simple explanations were advocated as the causes of the significant incongruences detected. The analysis of multiple gene partitions showed unprecedented phylogenetic resolution within the genus Septoria that supported the results from previously published single gene phylogenies. Specifically, we have delimited distinct but closely related species representing monophyletic groups that frequently correlated with their respective host families. Conversely, the occurrence of well-supported groups including closely related but distinct molecular taxa sampled on unrelated host-plants allowed us to reject, in these particular cases, the co-evolutionary concept expected between a parasite and its host and to discuss alternative evolutionary models recently proposed for these pathogens.
Keywords:Septoria   Mycosphaerella   Anamorph   Teleomorph   Bayesian inference   Maximum parsimony   Data combination   Host–  parasite co-evolution
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