One thousand plant transcriptomes and the phylogenomics of green plants

Abstract: Green plants (Viridiplantae) include around 450,000–500,000 species1, 2 of great diversity and have important roles in terrestrial and aquatic ecosystems. Here, as part of the One Thousand Plant Transcriptomes Initiative, we sequenced the vegetative transcriptomes of 1,124 species that span the diversity of plants in a broad sense (Archaeplastida), including green plants (Viridiplantae), glaucophytes (Glaucophyta) and red algae (Rhodophyta). Our analysis provides a robust phylogenomic framework for examining the evolution of green plants. Most inferred species relationships are well supported across multiple species tree and supermatrix analyses, but discordance among plastid and nuclear gene trees at a few important nodes highlights the complexity of plant genome evolution, including polyploidy, periods of rapid speciation, and extinction. Incomplete sorting of ancestral variation, polyploidization and massive expansions of gene families punctuate the evolutionary history of green plants. Notably, we find that large expansions of gene families preceded the origins of green plants, land plants and vascular plants, whereas whole-genome duplications are inferred to have occurred repeatedly throughout the evolution of flowering plants and ferns. The increasing availability of high-quality plant genome sequences and advances in functional genomics are enabling research on genome evolution across the green tree of life

Magnetic resonance imaging in osteomalacic insufficiency fractures of the pelvis

AIMS: To report the magnetic resonance imaging (MRI) findings of osteomalacic insufficiency fractures of the pelvis

Effects of Applied Electrical Field on Biochemical Parameters and Erythrocytes of Rats

The purpose of this study was to determine whether there was any effect of some biochemical parameters and erythrocyte carbonic anhydrase on electric field stimulation in female rat. ...

Lipid peroxidation, DNA damage and coenzyme Q10 in lung cancer patients - Markers for risk assessment?

Objectives: Early diagnosis and prevention is very important for lung cancer patients. Previous studies have emphasized that the level of coenzyme Q10 (CoQ10), present primarily in mitochondria, decreases with age and is low in patients with chronic diseases. Our goal was to find out if there is any relationship between lung cancer and CoQ10 and lipid peroxidation levels. Design and Methods: Blood samples from lung cancer patients were collected. Total and oxide CoQ10 levels, 8-OHdG (product of DNA damage), and malondialdehyde (MDA) levels (lipid peroxidation) were analyzed with high performance liquid chromatography (HPLC). Results: The MDA level (P<0.001) and DNA damage rate (8-OHdG) (P<0.001) was higher in cancer patients than in the control group; in contrast, theCoQ10 enzyme level was significantly lower (P<0.001). Conclusion: The results suggest that the aforementioned parameters can be useful for lung cancer risk assessment