Auxin-induced changes in the population of translatable messenger RNA in elongating sections of soybean hypocotyl

In vitro translation products of polyadenylated RNA from untreated and auxin-treated elongating sections of soybean (Glycine max var. Wayne) hypocotyl were analyzed by two-dimensional polyacrylamide gel electrophoresis. The levels of translatable messenger RNA for at least ten in vitro translation products are increased by auxin treatment. The induction by auxin occurs rapidly (within 15 minutes), and the amounts of the induced in vitro translation products increase with time of auxin treatment. Indoleacetic acid has the same effect on the population of translatable messenger RNA as 2,4-dichlorophenoxyacetic acid. The auxin-induced in vitro translation products disappear rapidly when Actinomycin D is present during the last two hours of a three-hour auxin treatment.     

Lineage-specific evolution and gene flow in Listeria monocytogenes are independent of bacteriophages

Listeria monocytogenes is a foodborne pathogen causing systemic infection with high mortality. To allow efficient tracking of outbreaks a clear definition of the genomic signature of a cluster of related isolates is required, but lineage-specific characteristics call for a more detailed understanding of evolution. In our work, we used core genome MLST (cgMLST) to identify new outbreaks combined to core genome SNP analysis to characterize the population structure and gene flow between lineages. Whilst analysing differences between the four lineages of L. monocytogenes we have detected differences in the recombination rate, and interestingly also divergence in the SNP differences between sub-lineages. In addition, the exchange of core genome variation between the lineages exhibited a distinct pattern, with lineage III being the best donor for horizontal gene transfer. Whilst attempting to link bacteriophage-mediated transduction to observed gene transfer, we found an inverse correlation between phage presence in a lineage and the extent of recombination. Irrespective of the profound differences in recombination rates observed between sub-lineages and lineages, we found that the previously proposed cut-off of 10 allelic differences in cgMLST can be still considered valid for the definition of a foodborne outbreak cluster of L. monocytogenes.     

Circular permutation of granulocyte colony-stimulating factor

The sequence of granulocyte colony-stimulating factor (G-CSF) has been circularly permuted by introducing new chain termini into interhelical loops and by constraining the N- and C-terminal helices, either by direct linkage of the termini (L0) or by substitution of the amino-terminal 10-residue segment with a seven-residue linker composed of glycines and serines (L1). All the circularly permuted G-CSFs (cpG-CSFs) were able to fold into biologically active structures that could recognize the G-CSF receptor. CD and NMR spectroscopy demonstrated that all of the cpG-CSFs adopted a fold similar to that of the native molecule, except for one [cpG-CSF(L1)[142/141]] which has the new termini at the end of loop 34 with the shorter L1 linker. All of the cpG-CSFs underwent cooperative unfolding by urea, and a systematically lower free energy change (DeltaGurea) was observed for molecules with the shorter L1 linker than for those molecules in which the original termini were directly linked (the L0 linker). The thermodynamic stability of the cpG-CSFs toward urea was found to correlate with their relative ability to stimulate proliferation of G-CSF responsive cells. Taken together, these results indicate that the G-CSF sequence is robust in its ability to undergo linear rearrangement and adopt a biologically active conformation. The choice of linker, with its effect on stability, seems to be important for realizing the full biological activity of the three-dimensional structure. The breakpoint and linker together are the ultimate determinants of the structural and biological profiles of these circularly permuted cytokines. In the following paper [McWherter, C. A., et al. (1999) Biochemistry 38, 4564-4571], McWherter and co-workers have used circularly permuted G-CSF sequences to engineer chimeric dual IL-3 and G-CSF receptor agonists in which the relative spatial orientation of the receptor agonist domains is varied. Interpreting the differences in activity for the chimeric molecules in terms of the connectivity between domains depends critically on the results reported here for the isolated cpG-CSF domains.     

<Emphasis Type="Italic">Scoredist</Emphasis>: A simple and robust protein sequence distance estimator

Background  

Distance-based methods are popular for reconstructing evolutionary trees thanks to their speed and generality. A number of methods exist for estimating distances from sequence alignments, which often involves some sort of correction for multiple substitutions. The problem is to accurately estimate the number of true substitutions given an observed alignment. So far, the most accurate protein distance estimators have looked for the optimal matrix in a series of transition probability matrices, e.g. the Dayhoff series. The evolutionary distance between two aligned sequences is here estimated as the evolutionary distance of the optimal matrix. The optimal matrix can be found either by an iterative search for the Maximum Likelihood matrix, or by integration to find the Expected Distance. As a consequence, these methods are more complex to implement and computationally heavier than correction-based methods. Another problem is that the result may vary substantially depending on the evolutionary model used for the matrices. An ideal distance estimator should produce consistent and accurate distances independent of the evolutionary model used.     

Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER

Background  

Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling are not fully known. In the present work we approached this by using two of the most popular HMM packages: SAM and HMMER. The programs' abilities to build models and score sequences were compared on a SCOP/Pfam based test set. The comparison was done separately for local and global HMM scoring.