Darwin's wind hypothesis: does it work for plant dispersal in fragmented habitats?

Using the wind-dispersed plant Mycelis muralis, we examined how landscape fragmentation affects variation in seed traits contributing to dispersal. Inverse terminal velocity (Vt(-1)) of field-collected achenes was used as a proxy for individual seed dispersal ability. We related this measure to different metrics of landscape connectivity, at two spatial scales: in a detailed analysis of eight landscapes in Spain and along a latitudinal gradient using 29 landscapes across three European regions. In the highly patchy Spanish landscapes, seed Vt(-1)increased significantly with increasing connectivity. A common garden experiment suggested that differences in Vt(-1) may be in part genetically based. The Vt(-1) was also found to increase with landscape occupancy, a coarser measure of connectivity, on a much broader (European) scale. Finally, Vt(-1)was found to increase along a south-north latitudinal gradient. Our results for M. muralis are consistent with 'Darwin's wind dispersal hypothesis' that high cost of dispersal may select for lower dispersal ability in fragmented landscapes, as well as with the 'leading edge hypothesis' that most recently colonized populations harbour more dispersive phenotypes.

Catechin reduces atherosclerotic lesion development in apo E-deficient mice: a transcriptomic study.

Much experimental evidence supports a protective role of dietary flavonoids against cardiovascular diseases. The aim of the present study was to investigate the anti-atherosclerotic effects of catechin supplemented in the diet of apoE deficient mice at a low nutritional level and to explore the mechanisms of action by a transcriptomic approach. After 6 weeks of supplementation, atherosclerotic lesions were assessed by histomorphometry and several markers of lipid, inflammation and oxidative stress status were evaluated. Analysis of the global gene expression in the aorta was carried out using pangenomic arrays. Catechin supplementation reduced the mean atherosclerotic lesion area by 32% but had no effect on total cholesterol and triacylglycerol levels in the plasma and the liver. The plasma antioxidant capacity (FRAP) and inflammatory status (serum amyloid A) were unchanged. The expression of 450 genes was significantly modified by catechin supplementation. Some of the most significantly down-regulated genes included genes coding for adhesion molecules such as CD34 and PSGL-1 known to play a key role in leukocyte adhesion to the endothelium. Other genes involved in energy metabolism, lipid metabolism and lipids trafficking such as FABP4, LPL and SCARA5 were down-regulated and may contribute to the atheroprotective effect of catechin. This work shows that transcriptomic allows characterizing the biological effects of low doses of flavonoids where common markers were not significantly affected.

Image analysis and data normalization procedures are crucial for microarray analyses.

This study was conducted with the aim of optimizing the experimental design of array experiments. We compared two image analysis and normalization procedures prior to data analysis using two experimental designs. For this, RNA samples from Charolais steers Longissimus thoracis muscle and subcutaneous adipose tissues were labeled and hybridized to a bovine 8,400 oligochip either in triplicate or in a dye-swap design. Image analysis and normalization were processed by either GenePix/MadScan or ImaGene/GeneSight. Statistical data analysis was then run using either the SAM method or a Student's t-test using a multiple test correction run on R 2.1 software. Our results show that image analysis and normalization procedure had an impact whereas the statistical methods much less influenced the outcome of differentially expressed genes. Image analysis and data normalization are thus an important aspect of microarray experiments, having a potentially significant impact on downstream analyses such as the identification of differentially expressed genes. This study provides indications on the choice of raw data preprocessing in microarray technology.