], were recently described (6, 7). Thus, it is evident that protein inheritance is a widespread phenomenon, at least in lower eukaryotes.The discovery of prions in yeast occurred in different ways. Some (i.e., [PSI + ] and [URE3]) were long known as genetic determinants of mysterious nature until their prion nature was proposed (8). The others were revealed by purposeful screening of potentially prionogenic proteins and corresponding determinants. The prion-like determinant [ISP + ], described in our earlier work (9), belongs to the first group, because it was detected as a nonchromosomal antisuppressor in strains containing specific sup35 nonsense suppressor mutations and the nonsense mutations his7-1 (UAA) and lys2-87 (UGA (Fig. 1A). The Sup + phenotype cosegregated with Ura + in tetrads of the diploid that was obtained by crossing the sfp1Δ and [ISP + ] strains (Fig. 1B). These findings indicate either that [ISP + ] is a prion form of Sfp1 or that the change in phenotype was caused by an independent manifestation of the SFP1-null allele.To distinguish between these two possibilities, the sfp1Δ strain was transformed with the centromeric vector pRS315-SFP1. Introduction of the wild-type SFP1 allele did not change the phenotype of the sfp1Δ strain [i.e., the absolute majority (556 of 559) of transformants has retained the Sup + phenotype]. This fact suggests that the change of phenotype in the sfp1Δ strain was caused by [ISP + ] loss rather than phenotypic effects of the SFP1 deletion; otherwise, restoration of the Sup − phenotype would be observed. Notably, this loss was irreversible, because we have not observed a single example of Sup -clones appearing in the mitotic progeny of sfp1Δ strains in contrast to [isp -] strains obtained by GuHCl treatment, which produced Sup -clones at a high frequency (9). These results confirmed that SFP1 could be considered as a likely host gene for [ISP + ].

Semi-denaturing detergent agarose gel electrophoresis (SDD-AGE) was proposed by Vitaly V. Kushnirov in the Michael D. Ter-Avanesyan's laboratory as a method to compare sizes of amyloid aggregates. Currently, this method is widely used for amyloid investigation, but mostly as a qualitative approach. In this work, we assessed the possibilities and limitations of the quantitative analysis of amyloid aggregate size distribution using SDD-AGE results. For this purpose, we used aggregates of two well-characterized yeast amyloid-forming proteins, Sup35 and Rnq1, and developed a protocol to standardize image analysis and process the result. A detailed investigation of factors that may affect the results of SDD-AGE revealed that both the cell lysis method and electrophoresis conditions can substantially affect the estimation of aggregate size. Despite this, quantitative analysis of SDD-AGE results is possible when one needs to estimate and compare the size of aggregates on the same gel, or even in different experiments, if the experimental conditions are tightly controlled and additional standards are used.

No abstract

Currently, several protein-based genetic determinants, or prions, are described in yeast, and several hundred prion candidates have been predicted. Importantly, many known and potential prion proteins regulate transcription; therefore, prion induction should affect gene expression. While it is generally believed that the prion phenotype should mimic the deletion phenotype, this rule has exceptions. Formed by the transcription factor Sfp1p, [ISP(+) ] is one such exception as the [ISP(+) ] and sfp1Δ strains differ in many phenotypic traits. These data suggest that effects of prion formation by a transcription factor and its absence may affect gene expression in a different way. However, studies addressing this issue are practically absent. Here, we explore how [ISP(+) ] affects gene expression and how these changes correspond to the effect of SFP1 deletion. Our data indicate that the [ISP(+) ]-related expression changes cannot be explained by the inactivation of Sfp1p. Remarkably, most Sfp1p targets are not affected in the [ISP(+) ] strain; instead, the genes upregulated in the [ISP(+) ] strain are enriched in Gcn4p and Aft1p targets. We propose that Sfp1p serves as a part of a regulatory complex, and the activity of this complex may be modulated differently by the absence or prionization of Sfp1p.

No abstract

Multiple drug resistance (MDR) to widening range of antibiotics emerging in increasing variety of pathogenic bacteria is a serious threat to the health of mankind nowadays. This is partially due to an uncontrolled usage of antibiotics not only in clinical practice, but also in various branches of agriculture. MDR is affected by two mechanisms: (1) accumulation of resistance genes as a result of intensive selection caused by antibiotics, and (2) active horizontal transfer of resistance genes. To unveil the reasons of bacterial multiresistance to antibiotics, it is necessary to understand the mechanisms of antibiotics action as well as the ways how either resistance to certain antibiotics emerge or resistance genes accumulate and transfer among bacterial strains. Current review is devoted to all these problems.

The Sch9 kinase of Saccharomyces cerevisiae is one of the major TOR pathway effectors and regulates diverse processes in the cell. Sch9 belongs to the AGC kinase family. In human, amplification of AGC kinase genes is connected with cancer. However, not much is known about the effects of Sch9 overproduction in yeast cells. To fill this gap, we developed a model system to monitor subcellular location and aggregation state of overproduced Sch9 or its regions fused to a fluorescent protein. With this system, we showed that Sch9-YFP forms detergent-resistant aggregates, and multiple protein regions are responsible for this. This finding corroborated the fact that Sch9-YFP is visualized as various fluorescent foci. In addition, we found that Sch9 overproduction caused cell elongation, and this effect was determined by its C-terminal region containing kinase domains. The constructs we present can be exploited to create superior yeast-based model systems to study processes behind kinase overproduction in cancers.

Amyloids are fibrillar protein aggregates with a cross-β structure. More than two hundred different proteins with amyloid or amyloid-like properties are already known. Functional amyloids with conservative amyloidogenic regions were found in different organisms. Protein aggregation appears to be beneficial for the organism in these cases. Therefore, this property might be conservative for orthologous proteins. The amyloid aggregates of the CPEB protein were suggested to play an important role in the long-term memory formation in Aplysia californica, Drosophila melanogaster, and Mus musculus. Moreover, the FXR1 protein demonstrates amyloid properties among the Vertebrates. A few nucleoporins (e.g., yeast Nup49, Nup100, Nup116, and human Nup153 and Nup58), are supposed or proved to form amyloid fibrils. In this study, we performed wide-scale bioinformatic analysis of nucleoporins with FG-repeats (phenylalanine–glycine repeats). We demonstrated that most of the barrier nucleoporins possess potential amyloidogenic properties. Furthermore, the aggregation-prone properties of several Nsp1 and Nup100 orthologs in bacteria and yeast cells were analyzed. Only two new nucleoporins, Drosophila melanogaster Nup98 and Schizosaccharomyces pombe Nup98, aggregated in different experiments. At the same time, Taeniopygia guttata Nup58 only formed amyloids in bacterial cells. These results rather contradict the hypothesis about the functional aggregation of nucleoporins.