The effects of stabilizing mutations in the central part of the α-chain of tropomyosin on the structural and functional properties of αβ-tropomyosin heterodimers

The effects of the D137L/G126R double mutation in the central part of the tropomyosin α-chain via the simultaneous replacement of two highly conserved non-canonical residues, viz., Asp137 and Gly126, by canonical residues Leu and Arg, respectively, on the properties of the αβ-tropomyosin heterodimer have been studied. It has been shown using circular dichroism that this mutation substantially increases the thermal stability of αβ-tropomyosin heterodimers, which, nevertheless, remains lower than that of αα-tropomyosin homodimers with these mutations in both α-chains. The stability of tropomyosin complexes with F-actin has also been studied by measuring the temperature dependences of their dissociation, which is detected by a decrease in light scattering. It has been revealed that αβ-tropomyosin heterodimers carrying the D137L/G126R mutation in the α-chain dissociate from the surface of actin filaments at a higher temperature than ββ-homodimers but at a lower temperature than αα-homodimers with these mutations in both α-chains. It has also been shown using the in vitro motility assay that D137L/G126R substitution in the α-chain increases the sliding velocity of regulated actin filaments in the case of αα-homodimers, while it noticeably decreases the velocity in the case of αβ-tropomyosin heterodimers. Thus, we can conclude that mutations in one of the chains of the tropomyosin dimeric molecule may have different effects on the properties of tropomyosin homodimers and heterodimers.     

Analysis of dominant spring mutations in rye

The dominant mutant genes responsible for the spring habit were studied in seven rye plants according to the developed scheme of two-step crosses and analysis of the F₂ progeny. The genotypes with a particular genetic formula (heterozygote) were obtained by crossing the studied plants with the winter rye Korotkostebel’naya 69 carrying the recessive genes that control the winter habit of plants. Heterozygotes yielded by different combinations were crossed with each other. The F₁ hybrids were either self-pollinated to obtain F₂ progeny or crossed with the winter rye. Analysis of the progeny suggests that all seven plants carry the same gene.     

Bacterial cheating drives the population dynamics of cooperative antibiotic resistance plasmids

Inactivation of β ‐lactam antibiotics by resistant bacteria is a ‘cooperative’ behavior that may allow sensitive bacteria to survive antibiotic treatment. However, the factors that determine the fraction of resistant cells in the bacterial population remain unclear, indicating a fundamental gap in our understanding of how antibiotic resistance evolves. Here, we experimentally track the spread of a plasmid that encodes a β ‐lactamase enzyme through the bacterial population. We find that independent of the initial fraction of resistant cells, the population settles to an equilibrium fraction proportional to the antibiotic concentration divided by the cell density. A simple model explains this behavior, successfully predicting a data collapse over two orders of magnitude in antibiotic concentration. This model also successfully predicts that adding a commonly used β ‐lactamase inhibitor will lead to the spread of resistance, highlighting the need to incorporate social dynamics into the study of antibiotic resistance.     

AmylPepPred: Amyloidogenic Peptide Prediction tool

We present an efficient computational architecture designed using supervised machine learning model to predict amyloid fibril forming protein segments, named AmylPepPred. The proposed prediction model is based on bio-physio-chemical properties of primary sequences and auto-correlation function of their amino acid indices. AmylPepPred provides a user friendly web interface for the researchers to easily observe the fibril forming and non-fibril forming hexmers in a given protein sequence. We expect that this stratagem will be highly encouraging in discovering fibril forming regions in proteins thereby benefit in finding therapeutic agents that specifically aim these sequences for the inhibition and cure of amyloid illnesses.

Availability

AmylPepPred is available freely for academic use at www.zoommicro.in/amylpeppred     

Changes in the structural characteristics and ATPase activity of the erythrocyte membranes in angiographically verified coronary artery lesion

Structural characteristics and Na, K-ATPase activity of erythrocyte membranes were studied by the spin probe method in patients with an angiographically verified damage to the coronary arteries. The rise of the cholesterol/phospholipid ratio in patients with coronary heart disease was associated with the increased orderliness of the fatty acid chains of erythrocyte membrane lipids, leading to inhibition of Na, K-ATPase activity. The data point to the same line of changes in erythrocyte membranes and smooth muscle cells during the development of coronary heart disease.     

Isolated cell behavior drives the evolution of antibiotic resistance

Bacterial antibiotic resistance is typically quantified by the minimum inhibitory concentration (MIC), which is defined as the minimal concentration of antibiotic that inhibits bacterial growth starting from a standard cell density. However, when antibiotic resistance is mediated by degradation, the collective inactivation of antibiotic by the bacterial population can cause the measured MIC to depend strongly on the initial cell density. In cases where this inoculum effect is strong, the relationship between MIC and bacterial fitness in the antibiotic is not well defined. Here, we demonstrate that the resistance of a single, isolated cell—which we call the single‐cell MIC (scMIC)—provides a superior metric for quantifying antibiotic resistance. Unlike the MIC, we find that the scMIC predicts the direction of selection and also specifies the antibiotic concentration at which selection begins to favor new mutants. Understanding the cooperative nature of bacterial growth in antibiotics is therefore essential in predicting the evolution of antibiotic resistance.     

The Main Effect of Chromosomal Rearrangement Is Changing the Action of Regulatory Genes

Effect of chromosomal rearrangements on the expression of mutations was studied in Drosophila melanogaster regulatory genes. These were facultative dominant lethals and recessive lethals on the X chromosome obtained by the classical Muller-5 method. Chromosomal rearrangements drastically changed the expression of regulatory gene mutations. Rearrangements either caused the lethal effect of mutations or suppressed the already present lethality. The action of rearrangements exhibited the maternal or paternal effect. Irrespective of the presence in the genome of mutations of regulatory genes, a rearrangement acted as a factor decreasing fertility of the organism. The rearrangement effect is identical to the expression of regulatory genes per se. It is concluded that the chromosomal rearrangement affects the examined regulatory genes indirectly through a change in the operation of regulatory genes located within the rearrangement. Thus, rearrangements gain great importance for the definition of the pattern of genome functional activity. Widespread distribution of rearrangements in individual genotypes and their effectivity in the process of speciation are thus explained.