Slow conformational dynamics of the guanine nucleotide-binding protein Ras complexed with the GTP analogue GTPgammaS

The guanine nucleotide-binding protein Ras occurs in solution in two different conformational states, state 1 and state 2 with an equilibrium constant K(12) of 2.0, when the GTP analogue guanosine-5'-(beta,gamma-imido)triphosphate or guanosine-5'-(beta,gamma-methyleno)triphosphate is bound to the active centre. State 2 is assumed to represent a strong binding state for effectors with a conformation similar to that found for Ras complexed to effectors. In the other state (state 1), the switch regions of Ras are most probably dynamically disordered. Ras variants that exist predominantly in state 1 show a drastically reduced affinity to effectors. In contrast, Ras(wt) bound to the GTP analogue guanosine-5'-O-(3-thiotriphosphate) (GTPgammaS) leads to (31)P NMR spectra that indicate the prevalence of only one conformational state with K(12) > 10. Titration with the Ras-binding domain of Raf-kinase (Raf-RBD) shows that this state corresponds to effector binding state 2. In the GTPgammaS complex of the effector loop mutants Ras(T35S) and Ras(T35A) two conformational states different to state 2 are detected, which interconvert over a millisecond time scale. Binding studies with Raf-RBD suggest that both mutants exist mainly in low-affinity states 1a and 1b. From line-shape analysis of the spectra measured at various temperatures an activation energy DeltaH(|) (1a1b) of 61 kJ.mol(-1) and an activation entropy DeltaS(|) (1a1b) of 65 J.K(-1).mol(-1) are derived. Isothermal titration calorimetry on Ras bound to the different GTP-analogues shows that the effective affinity K(A) for the Raf-RBD to Ras(T35S) is reduced by a factor of about 20 compared to the wild-type with the strongest reduction observed for the GTPgammaS complex.     

Detection of testosterone propionate administration in horse hair samples

A sensitive and specific method has been developed to detect semi-quantitatively testosterone in horse hair samples. The method involved a washing step with sodium dodecylsulfate aqueous solution. The mane and tail hair samples (100mg) were dissolved in 1 mL of sodium hydroxide for 15 min at 95 degrees C in the presence of d3-boldenone used as internal standard. The next three steps involved diethyl ether extraction and a solid phase extraction on Isolute C18 (EC) cartridges eluted with methanol. The residue was derivatized by adding 100 microL of acetonitrile and 30 microL of PFPA then incubating for 15 min at 60 degrees C. After evaporation, 30 microL of hexane was added and 2.5 microL was injected into the column (a bonded phase fused silica capillary column DB5MS, 30 m x 0.25 mm i.d. x 0.25 microm film thickness) of a Trace GC chromatograph. In order to improve the sensitivity of the method, damping gas flow has been optimized. Testosterone was identified in MS(2) full scan mode on the Polaris Q instrument. The assay was capable of detecting less than 1 pg mg(-1). The recovery was close to 90%. The analysis of tail and mane samples collected from a gelding horse having received a single dose of testosterone propionate (1 mg kg(-1)) showed the presence of testosterone in the range of 1-6 pg mg(-1) in hair collected during 5 months after administration.     

Two stochastic processes shape diverse senescence patterns in a single‐cell organism

Despite advances in aging research, a multitude of aging models, and empirical evidence for diverse senescence patterns, understanding of the biological processes that shape senescence is lacking. We show that senescence of an isogenic Escherichia coli bacterial population results from two stochastic processes. The first process is a random deterioration process within the cell, such as generated by random accumulation of damage. This primary process leads to an exponential increase in mortality early in life followed by a late age mortality plateau. The second process relates to the stochastic asymmetric transmission at cell fission of an unknown factor that influences mortality. This secondary process explains the difference between the classical mortality plateaus detected for young mothers’ offspring and the near nonsenescence of old mothers’ offspring as well as the lack of a mother–offspring correlation in age at death. We observed that lifespan is predominantly determined by underlying stochastic stage dynamics. Surprisingly, our findings support models developed for metazoans that base their arguments on stage‐specific actions of alleles to understand the evolution of senescence. We call for exploration of similar stochastic influences that shape aging patterns beyond simple organisms.     

Do phytogeographic patterns reveal biomes or biotic regions?

We present the largest comparative biogeographical analysis that has complete coverage of Australia's geography (20 phytogeographical subregions), using the most complete published molecular phylogenies to date of large Australian plant clades (Acacia, Banksia and the eucalypts). Two distinct sets of areas within the Australian flora were recovered, using distributional data from the Australasian Virtual Herbarium (AVH) and the Atlas of Living Australia (ALA): younger Temperate, Eremaean and Monsoonal biomes, and older southwest + west, southeast and northern historical biogeographical regions. The analyses showed that by partitioning the data into two sets, using either a Majority or a Frequency method to select taxon distributions, two equally valid results were found. The dataset that used a Frequency method discovered general area cladograms that resolved patterns of the Australian biomes, whereas if widespread taxa (Majority method, with >50% of occurrences outside a single subregion) were removed the analysis then recovered historical biogeographical regions. The study highlights the need for caution when processing taxon distributions prior to analysis as, in the case of the history of Australian phytogeography, the validity of both biomes and historical areas have been called into question.     

The hypertrehalosaemic neuropeptide conformational twins of cicadas consist of only l-amino acids: are they cis–trans isomers?

Amino Acids - It is known for almost 25 years that the corpora cardiaca (neurosecretory glands) of cicadas synthesize two isobaric peptides with hypertrehalosaemic activity denominated...     

Hydrogen bonds with pi-acceptors in proteins: frequencies and role in stabilizing local 3D structures

A comprehensive structural analysis of X--H...pi hydrogen bonding in proteins is performed based on 592 published high-resolution crystal structures (< or = 1.6 A). All potential donors and acceptors are considered, including acidic C--H groups. The sample contains 1311 putative X--H...pi hydrogen bonds with N--H, O--H or S--H donors, that is about one per 10.8 aromatic residues. By far the most efficient pi-acceptor is the side-chain of Trp, which accepts one X--H...pi hydrogen bond per 5.7 residues. The focus of the analysis is on recurrent structural patterns involving regular secondary structure elements. Numerous examples are found where peptide X--H...pi interactions are functional in stabilization of helix termini, strand ends, strand edges, beta-bulges and regular turns. Side-chain X--H...pi hydrogen bonds are formed in considerable numbers in alpha-helices and beta-sheets. Geometrical data on various types of X--H...pi hydrogen bonds are given.