Multiple independent origins of mitochondrial gene order in birds

Mitochondrial genomes of all vertebrate animals analyzed to date have the same 37 genes, whose arrangement in the circular DNA molecule varies only in the relative position of a few genes. This relative conservation suggests that mitochondrial gene order characters have potential utility as phylogenetic markers for higher-level vertebrate taxa. We report discovery of a mitochondrial gene order that has had multiple independent originations within birds, based on sampling of 137 species representing 13 traditionally recognized orders. This provides evidence of parallel evolution in mitochondrial gene order for animals. Our results indicate operation of physical constraints on mitochondrial gene order changes and support models for gene order change based on replication error. Bird mitochondria have a displaced OL (origin of light-strand replication site) as do various other Reptilia taxa prone to gene order changes. Our findings point to the need for broad taxonomic sampling in using mitochondrial gene order for phylogenetic analyses. We found, however, that the alternative mitochondrial gene orders distinguish the two primary groups of songbirds (order Passeriformes), oscines and suboscines, in agreement with other molecular as well as morphological data sets. Thus, although mitochondrial gene order characters appear susceptible to some parallel evolution because of mechanistic constraints, they do hold promise for phylogenetic studies.

Spatially independent activity patterns in functional MRI data during the Stroop color-naming task

A method is given for determining the time course and spatial extent of consistently and transiently task-related activations from other physiological and artifactual components that contribute to functional MRI (fMRI) recordings. Independent component analysis (ICA) was used to analyze two fMRI data sets from a subject performing 6-min trials composed of alternating 40-sec Stroop color-naming and control task blocks. Each component consisted of a fixed three-dimensional spatial distribution of brain voxel values (a “map”) and an associated time course of activation. For each trial, the algorithm detected, without a priori knowledge of their spatial or temporal structure, one consistently task-related component activated during each Stroop task block, plus several transiently task-related components activated at the onset of one or two of the Stroop task blocks only. Activation patterns occurring during only part of the fMRI trial are not observed with other techniques, because their time courses cannot easily be known in advance. Other ICA components were related to physiological pulsations, head movements, or machine noise. By using higher-order statistics to specify stricter criteria for spatial independence between component maps, ICA produced improved estimates of the temporal and spatial extent of task-related activation in our data compared with principal component analysis (PCA). ICA appears to be a promising tool for exploratory analysis of fMRI data, particularly when the time courses of activation are not known in advance.

Tissue factor promotes melanoma metastasis by a pathway independent of blood coagulation.

Several studies have established a link between blood coagulation and cancer, and more specifically between tissue factor (TF), a transmembrane protein involved in initiating blood coagulation, and tumor metastasis. In the study reported here, a murine model of human melanoma metastasis was used for two experiments. (i) The first experiment was designed to test the effect of varying the level of TF expression in human melanoma cells on their metastatic potential. Two matched sets of cloned human melanoma lines, one expressing a high level and the other a low level of the normal human TF molecule, were generated by retroviral-mediated transfections of a nonmetastatic parental line. The metastatic potential of the two sets of transfected lines was compared by injecting the tumor cells into the tail vein of severe combined immunodeficiency (SCID) mice and later examining the lungs and other tissues for tumor development. Metastatic tumors were detected in 86% of the mice injected with the high-TF lines and in 5% of the mice injected with the low-TF lines, indicating that a high TF level promotes metastasis of human melanoma in the SCID mouse model. This TF effect on metastasis occurs with i.v.-injected melanoma cells but does not occur with primary tumors formed from s.c.-injected melanoma cells, suggesting that TF acts at a late stage of metastasis, after tumor cells have escaped from the primary site and entered the blood. (ii) The second experiment was designed to analyze the mechanism by which TF promotes melanoma metastasis. The procedure involved testing the effect on metastasis of mutations in either the extracellular or cytoplasmic domains of the transmembrane TF molecule. The extracellular mutations introduced two amino acid substitutions that inhibited initiation by TF of the blood-coagulation cascade; the cytoplasmic mutation deleted most of the cytoplasmic domain without impairing the coagulation function of TF. Several human melanoma lines expressing high levels of either of the two mutant TF molecules were generated by retroviral-mediated transfection of the corresponding TF cDNA into the nonmetastatic parental melanoma line, and the metastatic potential of each transfected line was tested in the SCID mouse model. Metastases occurred in most mice injected with the melanoma lines expressing the extracellular TF mutant but were not detected in most mice injected with the melanoma lines expressing the cytoplasmic TF mutant. Results with the extracellular TF mutant indicate that the metastatic effect of TF in the SCID mouse model does not involve products of the coagulation cascade. Results with the cytoplasmic TF mutant indicate that the cytoplasmic domain of TF is important for the metastatic effect, suggesting that the TF could transduce a melanoma cell signal that promotes metastasis.