The response to oxidative stress induced by magnesium deficiency in kidney bean plants

To understand the plant response to oxidative stresses, we studied the influence of magnesium (Mg⁺⁺) deficiency on the formation of hydrogen peroxide (H₂O₂), malondialdehyde (MDA), and protease activity in kidney bean plants. The expression pattern of proteins under Mg⁺⁺ deficiency also was examined via two-dimensional electrophoresis. The formation of H₂O₂ and MDA increased in the primary leaves of plants grown in a nutrient solution deficient in Mg⁺⁺. Protease activity in Mg⁺⁺-deficient plants was also higher than in those grown with sufficient Mg⁺⁺. The expression pattern of the proteins showed that 25 new proteins were generated and 64 proteins disappeared under Mg⁺⁺-deficient conditions. Therefore, a deficiency in Mg⁺⁺ may cause oxidative stress and a change in protein expression. Some of these proteins may be related to the oxidative stress induced by Mg⁺⁺ deficiency.     

Nano-mechanical measurements of protein-DNA interactions with a silicon nitride pulley

Proteins adhere to DNA at locations and with strengths that depend on the protein conformation, the underlying DNA sequence and the ionic content of the solution. A facile technique to probe the positions and strengths of protein-DNA binding would aid in understanding these important interactions. Here, we describe a ‘DNA pulley’ for position-resolved nano-mechanical measurements of protein-DNA interactions. A molecule of λ DNA is tethered by one end to a glass surface, and by the other end to a magnetic bead. The DNA is stretched horizontally by a magnet, and a nanoscale knife made of silicon nitride is manipulated to contact, bend and scan along the DNA. The mechanical profile of the DNA at the contact with the knife is probed via nanometer-precision optical tracking of the magnetic bead. This system enables detection of protein bumps on the DNA and localization of their binding sites. We study theoretically the technical requirements to detect mechanical heterogeneities in the DNA itself.     

A deep learning model for predicting optimal distance range in crosslinking mass spectrometry data

Macromolecular assemblies play an important role in all cellular processes. While there has recently been significant progress in protein structure prediction based on deep learning, large protein complexes cannot be predicted with these approaches. The integrative structure modeling approach characterizes multi-subunit complexes by computational integration of data from fast and accessible experimental techniques. Crosslinking mass spectrometry is one such technique that provides spatial information about the proximity of crosslinked residues. One of the challenges in interpreting crosslinking datasets is designing a scoring function that, given a structure, can quantify how well it fits the data. Most approaches set an upper bound on the distance between Cα atoms of crosslinked residues and calculate a fraction of satisfied crosslinks. However, the distance spanned by the crosslinker greatly depends on the neighborhood of the crosslinked residues. Here, we design a deep learning model for predicting the optimal distance range for a crosslinked residue pair based on the structures of their neighborhoods. We find that our model can predict the distance range with the area under the receiver-operator curve of 0.86 and 0.7 for intra- and inter-protein crosslinks, respectively. Our deep scoring function can be used in a range of structure modeling applications.     

The phospholipid composition ofBradyrhizobium spp

The phospholipid composition of two strains ofBradyrhizobium is reported. In contrast to previous studies [Bunn CR, Elkan GH (1970) Can J Microbiol 17:291–295; and Gerson T, Patel JJ (1975) Appl Microbiol 30:193–198], we determined that phosphatidylglycerol is a major phospholipid within this bacterial genus. Furthermore, neither phosphatidylserine nor phosphatidylinositol was detected within lipid extracts derived from these bacteria. In addition to phosphatidylglycerol, other major phospholipids ofBradyrhizobium were shown to include phosphatidylcholine, phosphatidylethanolamine, and cardiolipin. Possible explanations for the discrepancies between the present study and those of previous investigations are discussed.     

Production of adipic acid by short- and long-chain fatty acid acyl-CoA oxidase engineered in yeast Candida tropicalis

Bioprocess and Biosystems Engineering - In this study, to produce adipic acid, mutant strains of Candida tropicalis KCTC 7212 deficient of AOX genes encoding acyl-CoA oxidases which are important...