Phenotypic and phylogenetic characterization of Burkholderia (Pseudomonas) sp. strain LB400.

The relevant phenotypic traits and phylogenetic relationships between Burkholderia (Pseudomonas) sp. strain LB400 and B. cepacia ATCC 25416(T) were compared to determine the degree to which these two strains might be related. Strain LB400 degrades chlorinated biphenyls and has been a model system for potential use in the bioremediation of polychlorinated biphenyls, while some strains of B. cepacia are plant and human pathogens. The fatty acid methyl ester profile, sole carbon source utilization, and biochemical tests confirmed that strain LB400 was a member of the genus Burkholderia. The 16S rRNA gene sequence showed that this strain was not as closely related to B. cepacia as previously suspected or to other known pathogens of this genus, but is closely related to B. phenazinium, B. caribensis, B. graminis, and three unnamed Burkholderia spp. not known to be pathogenic.

Dynamically heterogenous partitions and phylogenetic inference: an evaluation of analytical strategies with cytochrome b and ND6 gene sequences in cranes.

ki ctes over whether molecular sequence data should be partitioned for phylogenetic analysis often confound two types of heterogeneity among partitions. We distinguish historical heterogeneity (i.e., different partitions have different evolutionary relationships) from dynamic heterogeneity (i.e., different partitions show different patterns of sequence evolution) and explore the impact of the latter on phylogenetic accuracy and precision with a two-gene, mitochondrial data set for cranes. The well-established phylogeny of cranes allows us to contrast tree-based estimates of relevant parameter values with estimates based on pairwise comparisons and to ascertain the effects of incorporating different amounts of process information into phylogenetic estimates. We show that codon positions in the cytochrome b and NADH dehydrogenase subunit 6 genes are dynamically heterogenous under both Poisson and invariable-sites + gamma-rates versions of the F84 model and that heterogeneity includes variation in base composition and transition bias as well as substitution rate. Estimates of transition-bias and relative-rate parameters from pairwise sequence comparisons were comparable to those obtained as tree-based maximum likelihood estimates. Neither rate-category nor mixed-model partitioning strategies resulted in a loss of phylogenetic precision relative to unpartitioned analyses. We suggest that weighted-average distances provide a computationally feasible alternative to direct maximum likelihood estimates of phylogeny for mixed-model analyses of large, dynamically heterogenous data sets.