Physiological MR signal variations within the brain at 3 T.

The echoplanar technique in magnetic resonance (MR) imaging allows the acquisition of a series of images from a selected slice with a temporal resolution of 10/s. Simultaneous recording of physiological information on pulse and respiration allows correlation of the MR signal intensity with physiological signals, which can be obtained for each pixel examined. Such correlations can be found within the cerebrospinal fluid (CSF) spaces and within vessels if a flow-sensitive MR measurement technique is used. The use of an MR scanner with a field strength of 3 T improves the signal/noise ratio, but there is a stronger signal decay due to local magnetic inhomogeneities. This study shows that 3-T systems can be used for correlation of MR and physiological signals and that clear differentiation between signals from CSF and from vessels can be obtained due to their strongly different signal decays.     

Referate

Ohne Zusammenfassung     

Lipids of the notothenioid fishes Trematomus spp. and Pagothenia borchgrevinki from East Antarctica

The notothenioid fishes Trematomus pennellii, T. newnesi, and T. bernacchii had 5–15% skeletal lipid, as percent dry weight, and this comprised 6–8% of the total body lipid. Trematomus hansoni and Pagothenia borchgrevinki had 2–4% skeletal lipid, which comprised 1% of total body lipid. Triacylglycerol was the major lipid class present in all tissues of all fish analyzed (up to 89% of total lipid), with minor components including sterol, phospholipid and wax esters. Monounsaturated fatty acids comprised 38.3–58.0% of the total fatty acids, and included primarily oleic [18 : 1(n-9)] and palmitoleic [16 : 1(n-7)] acids. Polyunsaturated fatty acids comprised 19.1–40.0% of the total fatty acids and included primarily eicosapentaenoic acid [20 : 5(n-3)] and docosahexaenoic acid [22 : 6(n-3)]. These five notothenioid fishes, which include benthic, benthopelagic, and cryopelagic species, are lower in lipid than other important Southern Ocean fishes (such as the Patagonian toothfish) and are estimated to be negatively buoyant. These data will be of use to research groups presently using signature lipid methodology. Accepted: 5 April 1999     

Phylogenetic analysis identifies many uncharacterized actin-like proteins (Alps) in bacteria: regulated polymerization, dynamic instability and treadmilling in Alp7A

Actin, one of the most abundant proteins in the eukaryotic cell, also has an abundance of relatives in the eukaryotic proteome. To date though, only five families of actins have been characterized in bacteria. We have conducted a phylogenetic search and uncovered more than 35 highly divergent families of actin-like proteins (Alps) in bacteria. Their genes are found primarily on phage genomes, on plasmids and on integrating conjugative elements, and are likely to be involved in a variety of functions. We characterize three Alps and find that all form filaments in the cell. The filaments of Alp7A, a plasmid partitioning protein and one of the most divergent of the Alps, display dynamic instability and also treadmill. Alp7A requires other elements from the plasmid to assemble into dynamic polymers in the cell. Our findings suggest that most if not all of the Alps are indeed actin relatives, and that actin is very well represented in bacteria.     

BlastR--fast and accurate database searches for non-coding RNAs

We present and validate BlastR, a method for efficiently and accurately searching non-coding RNAs. Our approach relies on the comparison of di-nucleotides using BlosumR, a new log-odd substitution matrix. In order to use BlosumR for comparison, we recoded RNA sequences into protein-like sequences. We then showed that BlosumR can be used along with the BlastP algorithm in order to search non-coding RNA sequences. Using Rfam as a gold standard, we benchmarked this approach and show BlastR to be more sensitive than BlastN. We also show that BlastR is both faster and more sensitive than BlastP used with a single nucleotide log-odd substitution matrix. BlastR, when used in combination with WU-BlastP, is about 5% more accurate than WU-BlastN and about 50 times slower. The approach shown here is equally effective when combined with the NCBI-Blast package. The software is an open source freeware available from www.tcoffee.org/blastr.html.     

Carbon-11 Reveals Opposing Roles of Auxin and Salicylic Acid in Regulating Leaf Physiology,Leaf Metabolism,and Resource Allocation Patterns that Impact Root Growth in Zea mays

Auxin (IAA) is an important regulator of plant development and root differentiation. Although recent studies indicate that salicylic acid (SA) may also be important in this context by interfering with IAA signaling, comparatively little is known about its impact on the plant’s physiology, metabolism, and growth characteristics. Using carbon-11, a short-lived radioisotope (t _1/2 = 20.4 min) administered as ¹¹CO₂ to maize plants (B73), we measured changes in these functions using SA and IAA treatments. IAA application decreased total root biomass, though it increased lateral root growth at the expense of primary root elongation. IAA-mediated inhibition of root growth was correlated with decreased ¹¹CO₂ fixation, photosystem II (PSII) efficiency, and total leaf carbon export of ¹¹C-photoassimilates and their allocation belowground. Furthermore, IAA application increased leaf starch content. On the other hand, SA application increased total root biomass, ¹¹CO₂ fixation, PSII efficiency, and leaf carbon export of ¹¹C-photoassimilates, but it decreased leaf starch content. IAA and SA induction patterns were also examined after root-herbivore attack by Diabrotica virgifera to place possible hormone crosstalk into a realistic environmental context. We found that 4 days after infestation, IAA was induced in the midzone and root tip, whereas SA was induced only in the upper proximal zone of damaged roots. We conclude that antagonistic crosstalk exists between IAA and SA which can affect the development of maize plants, particularly through alteration of the root system’s architecture, and we propose that the integration of both signals may shape the plant’s response to environmental stress.