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Polev, D. E.

Publications and source records attributed to Polev, D. E..

4 recordsLinked to original sources

Compensation for the absence of the catalytically active half of DNA polymerase ε in yeast by positively selected mutations in CDC28 gene

DNA polymerase {varepsilon} (pol {varepsilon}) participates in the leading DNA strand synthesis in eukaryotes. The catalytic subunit of this enzyme, Pol2, is a fusion of two ancestral B-family DNA polymerases. Paradoxically, the catalytically active N-terminal pol is dispensable, and an inactive C-terminal pol is essential for yeast cell viability. Despite extensive studies of strains without the active N-terminal half (mutation pol2-16), it is still unclear how they survive and what is the mechanism of rapid recovery of initially miserably growing cells. The reason for the slow progress is in the difficultly of obtaining strains with the defect. We designed a robust method for constructing mutants with only the C-terminal part of Pol2 using allele pol2rc-{Delta}N with optimized codon usage. Colonies bearing pol2rc-{Delta}N appear three times sooner than colonies of pol2-16 but exhibit similar growth defects: sensitivity to hydroxyurea, chromosomal instability, and an elevated level of spontaneous mutagenesis. UV-induced mutagenesis is partially affected; it is lower only at high doses in some reporters. The analysis of the genomes of pol2rc-{Delta}N isolates revealed the prevalence of nonsynonymous mutations suggesting that the growth recovery was a result of positive selection for better growth fueled by variants produced by the elevated mutation rate. Mutations in the CDC28 gene, the primary regulator of the cell cycle, were repeatedly found in independent clones. Genetic analysis established that cdc28 alleles single-handedly improve the growth of pol2rc-{Delta}N strains and suppress sensitivity hydroxyurea. The affected amino acids are located on the Cdc28 molecules two surfaces that mediate contacts with cyclins or kinase subunits. Our work establishes the significance of the CDC28 gene for the resilience of replication and predicts that changes in mammalian homologs of cyclin-dependent kinases may play a role in remastering replication to compensate for the defects in the leading strand synthesis by the dedicated polymerase. Author SummaryThe catalytic subunit of the leading strand DNA polymerase {varepsilon}, Pol2, consists of two halves made of two different ancestral B-family DNA polymerases. Counterintuitively, the catalytically active N-terminal half is dispensable while the inactive C-terminal part is required for viability. The corresponding strains show a severe growth defect, sensitivity to replication inhibitors, chromosomal instability, and elevated spontaneous mutagenesis. Intriguingly, the slow-growing mutant strains rapidly produced fast-growing clones. We discovered that the adaptation to the loss of the catalytic N-terminal part of Pol2 occurs during evolution by positive selection for a better growth fueled by variants produced by elevated mutation rates. Mutations in the cell cycle-dependent kinase gene, CDC28, can single-handedly improve the growth of strains lacking the N-terminal part of Pol2. Our study predicts that changes in mammalian homologs of cyclin-dependent kinases may play a role in response to the defects of active leading strand polymerase.

genetics↗

Genome-wide analysis of drug resistant Mycobacterium tuberculosis isolates causing pulmonary and extrapulmonary tuberculosis in Russia

Mycobacterium tuberculosis is a highly studied pathogen due to public health importance. Despite progress in M.tuberculosis genome diversity analysis there remain insufficient data on genome analysis of M.tuberculosis strains associated with pulmonary vs. extrapulmonary TB (PTB or XPTB respectively) tissue localization. Here we conduct comparative analysis of whole-genome sequence (WGS) for clinical M.tuberculosis strains collected from patients with PTB (n=72) and XPTB (n=73) localization. We further analyze the incidence of point mutations widely used for drug resistance detection in laboratory practice.\n\nM.tuberculosis isolates were collected from patients with varying clinical status from 2007 to 2014 in Russia. Bacterial DNA was extracted and sequenced using MiSeq platform (Illumina).\n\nWGS data allowed identifying M.tuberculosis substrains associated with distinctions in the occurrence in PTB v s. XPTB cases. There occurred little statistically significant specific DNA variants or genotypes diagnostic of tissue distribution, however phylogenetic analyses did reveal M.tuberculosis genetic substrains associated with TB localization. XPTB was associated with Beijing CAO, A and 4.8 groups, while PTB localization was associated with group LAM (4.3). Further, XPTB strain in some cases showed elevated drug resistance patterns relative to PTB isolates. HIV is significantly associated with the development of XPTB in the Beijing B0/W148 group and among unclustered Beijing isolates.\n\nThis research analysis pinpointed genomic markers identified in XPTB and PTB with detailed characterization of drug-resistance markers of Russian M.tuberculosis isolates. We suggest that further comprehensive analysis of bacterial and human biological signatures might allow for better understanding consistent pattern of XPTB development.\n\nSummaryThis paper gives genome-wide characteristics of Mycobacterium tuberculosis strains collected from pulmonary and extrapulmonary tuberculosis patients:\n\n- M.tuberculosis genetic strains associated with TB tissue localization,\n\n- influence of HIV co-infection on TB dissemination;\n\n- mutations associated with M.tuberculosis drug resistance.

genomics↗

Systematic dissection of biases in whole-exome and whole-genome sequencing reveals major determinants of coding sequence coverage

Next generation DNA sequencing technologies are rapidly transforming the world of human genomics. Advantages and diagnostic effectiveness of the two most widely used resequencing approaches, whole exome (WES) and whole genome (WGS) sequencing, are still frequently debated. In our study we developed a set of statistical tools to systematically assess coverage of CDS regions provided by several modern WES platforms, as well as PCR-free WGS. Using several novel metrics to characterize exon coverage in WES and WGS, we showed that some of the WES platforms achieve substantially less biased CDS coverage than others, with lower within- and between-interval variation and virtually absent GC-content bias. We discovered that, contrary to a common view, most of the coverage bias in WES stems from mappability limitations of short reads, as well as exome probe design. We identified the ~ 500 kb region of human exome that could not be effectively characterized using short read technology. We also showed that the overall power for SNP and indel discovery in CDS region is virtually indistinguishable for WGS and best WES platforms. Our results indicate that deep WES (100x) using least biased technologies provides similar effective coverage (97% of 10x q10+ bases) and CDS variant discovery to the standard 30x WGS, suggesting that WES remains an efficient alternative to WGS in many applications. Our work could serve as a guide for selection of an up-to-date resequencing approach in human genomic studies.

genomics↗

A new cancer-testis long noncoding RNA, the OTP-AS1 RNA

Orthopedia homeobox (OTP) gene encodes a homeodomain-containing transcription factor involved in brain development. OTP is mapped to human chromosome 5q14.1. Earlier we described transcription in the second intron of this gene in wide variety of tumors, but among normal tissues only in testis. In GeneBank these transcripts are presented by several 300-400 nucleotides long AI267901-like ESTs.\n\nWe assumed that AI267901-like ESTs belong to longer transcript(s). We used the Rapid Amplification of cDNA Ends (RACE) approach and other methods to find the full-length transcript. The found transcript was 2436 nucleotides long polyadenylated sequence in antisense to OTP gene. The corresponding gene consisted of two exons separated by an intron of 2961 bp long. The first exon was found to be 91 bp long and located in the third exon of OTP gene. The second exon was 2345bp long and located in the second intron of OTP gene.\n\nThe search of possible open reading frames (ORFs) showed the lack of significant ORFs. We have shown the expression of new gene in many human tumors and only in one sampled normal testis. The data suggest that we discovered a new antisense cancer-testis sequence OTP-AS1 (OTP- antisense RNA 1), which belongs to long noncoding RNAs (lncRNAs). According to our findings we assume that OTP-AS1 and OTP genes may be the CT-coding gene/CT-ncRNA pair involved in regulatory interactions.\n\nAuthor summaryPreviously, long non-coding RNAs (lncRNAs) were considered as genetic \"noise\". However, it was later shown that only 2% of genomic transcripts have a protein-coding ability. Non-coding RNA is divided into short non-coding RNAs (20-200 nucleotides) and long noncoding RNAs (200-100,000 nucleotides). Genes encoding lncRNA often overlap or are adjacent to protein-coding genes, and localization of this kind is beneficial in order to regulate the transcription of neighboring genes. Studies have shown that of lncRNAs play many roles in the regulation of gene expression. New evidence indicates that dysfunctions of lncRNAs are associated with human diseases and cancer.\n\nIn our study we found a new cancer-testis long noncoding RNA (OTP-AS1), which is an antisense of protein-coding cancer-testis gene (OTP). Thus, OTP-AS1 and OTP genes may be the CT-coding gene/CT-ncRNA pair involved in regulatory interactions. This is supported by the similar profile of their expression. OTP-AS1 may be of interest as a potential diagnostic marker of cancer or a potential target for cancer therapy.\n\nPart of OTP-AS1 gene (5-end of the second exon) is evolutionary younger than the rest of gene sequence and is less conservative. This links OTP-AS1 gene with so-called TSEEN (tumor-specifically expressed, evolutionary novel) genes described by the authors in previous papers.

genetics↗