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Dive into the research topics where Maria N. Siniagina is active.

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Featured researches published by Maria N. Siniagina.


Microbiology | 2016

K19 capsular polysaccharide of Acinetobacter baumannii is produced via a Wzy polymerase encoded in a small genomic island rather than the KL19 capsule gene cluster.

Johanna J. Kenyon; Mikhail M. Shneider; Sof'ya N. Senchenkova; Alexander S. Shashkov; Maria N. Siniagina; Sergey Malanin; Anastasiya V. Popova; Konstantin A. Miroshnikov; Ruth M. Hall; Yuriy A. Knirel

Polymerization of the oligosaccharides (K units) of complex capsular polysaccharides (CPSs) requires a Wzy polymerase, which is usually encoded in the gene cluster that directs K unit synthesis. Here, a gene cluster at the Acinetobacter K locus (KL) that lacks a wzy gene, KL19, was found in Acinetobacter baumannii ST111 isolates 28 and RBH2 recovered from hospitals in the Russian Federation and Australia, respectively. However, these isolates produced long-chain capsule, and a wzy gene was found in a 6.1 kb genomic island (GI) located adjacent to the cpn60 gene. The GI also includes an acetyltransferase gene, atr25, which is interrupted by an insertion sequence (IS) in RBH2. The capsule structure from both strains was →3)-α-d-GalpNAc-(1→4)-α-d-GalpNAcA-(1→3)-β-d-QuipNAc4NAc-(1→, determined using NMR spectroscopy. Biosynthesis of the K unit was inferred to be initiated with QuiNAc4NAc, and hence the Wzy forms the β-(1→3) linkage between QuipNAc4NAc and GalpNAc. The GalpNAc residue is 6-O-acetylated in isolate 28 only, showing that atr25 is responsible for this acetylation. The same GI with or without an IS in atr25 was found in draft genomes of other KL19 isolates, as well as ones carrying a closely related CPS gene cluster, KL39, which differs from KL19 only in a gene for an acyltransferase in the QuiNAc4NR synthesis pathway. Isolates carrying a KL1 variant with the wzy and atr genes each interrupted by an ISAba125 also have this GI. To our knowledge, this study is the first report of genes involved in capsule biosynthesis normally found at the KL located elsewhere in A. baumannii genomes.


Doklady Biochemistry and Biophysics | 2016

Genomic and proteomic profiles of Acholeplasma laidlawii strains differing in sensitivity to ciprofloxacin.

Elena S. Medvedeva; Marina Davydova; Alexey A. Mouzykantov; Natalia B. Baranova; T. Y. Grigoreva; Maria N. Siniagina; Eugenia A. Boulygina; Olga A. Chernova; Vladislav M. Chernov

As a result of comparative analysis of complete genomes as well as cell and vesicular proteomes of A. laidlawii strains differing in sensitivity to ciprofloxacin, it was first shown that the mycoplasma resistance to the antibiotic is associated with the reorganization of genomic and proteomic profiles, which concerns many genes and proteins involved in fundamental cellular processes and realization of bacterial virulence.


Genome Announcements | 2018

Genome Sequences of Acholeplasma laidlawii Strains with Increased Resistance to Tetracycline and Melittin

Natalia B. Baranova; Tatyana Y. Malygina; Elena S. Medvedeva; Eugenia A. Boulygina; Maria N. Siniagina; Mohamed Amine Dramchini; Reshad Akbor Prottoy; Alexey A. Mouzykantov; Marina Davydova; Olga A. Chernova; Vladislav M. Chernov

ABSTRACT Acholeplasma laidlawii is a well-suited model for studying the molecular basis for adapting mollicutes to environmental conditions. Here, we present the whole-genome sequences of two strains of A. laidlawii with increased resistance to tetracycline and melittin.


Gastroenterology | 2017

The Influence of Helicobacter Pylori Eradication Therapy on Intestinal Microbiota

Dilyara Safina; Sayar Abdulkhakov; Tatyana Grigoryeva; Dilyara Khusnutdinova; Boris A. Kovarsky; Alexander V. Tyakht; Maria Markelova; Eugenia A. Boulygina; Maria N. Siniagina; Sergey Malanin; Rustem Abdulkhakov; Vladislav M. Chernov

H. pylori eradication therapy including antibiotics as well as H. pylori itself can influence the normal intestinal microbiota content. The aim of the study was to describe the gut microbiota composition in H. pylori-positive and H. pylori-negative patients as well as the influence of eradication therapy on gut microbiota. 198 stool samples were taken for analysis: 74 samples from H. pylori-positive patients before eradication therapy, 74 from the same patients after eradication, 50 from H. pylori-negative patients (control group). Total DNA was isolated from the stool samples and subjected to whole-genome sequencing on SOLiD 5500 Wildfire platform. Intestinal microbiota was evaluated based on number of species, qualitative composition, Shannon diversity index and Bray-Curtis metrics. Results. Bacterial community was quite similar in all groups: Bacteroides, Prevotella, Eubacterium, Roseburia, Faecalibacterium and Clostridium genera were predominant in all samples. The spread in variations of the prevailing Firmicutes and Bacteroides phyla was wider after the treatment than in control samples. In about half of patients eradication therapy led to the decrease of both the number of species and the Shannon index indicating a decrease in the overall bacterial diversity with a possible predominance of individual species. Eradication therapy resulted in the reduction of the relative representation of Bifidobacterium, Collinsella, Coprococcus genera, accompanied with the increase of Clostridium, Bacteroides, Coprobacillus and Flavonifractor genera. Evaluation of taxonomic diversity changes based on Shannon index and Bray-Curtis metrics allows to differentiate patients into the groups with mild, moderate and severe changes. In 82% of cases mild and moderate changes in microbial community content were found increased level of Bacteroides genus, decreasing levels of Bifidobacterium and Eubacterium genus, simultaneously. Escherichia genus had the increased abundance in the majority of patients with severe microbial shifts after eradication therapy. Changes in the composition of intestinal microbiota after H. pylori eradication therapy depend mostly on the initial content of the intestinal microbiota: the closer initial microbial state of H. pylori-positive patients to the control samples is, the milder changes could be detected after eradication therapy. Gene-centric analysis of the functional composition in paired samples taken before and after therapy showed an increase of the relative abundance of genes conferring antibiotic resistance. Conclusions. Evaluation of intestinal microflora content prior to treatment can probably predict the incidence of side effects related to changes in microbial composition. This work was financially supported by the Ministry of Education and Science of Russian Federation (agreement #14.575.21.0076, ID RFMEFI575I4X0076).


Data in Brief | 2017

Shotgun metagenomic data on the human stool samples to characterize shifts of the gut microbial profile after the Helicobacter pylori eradication therapy

Eugenia A. Boulygina; Maria Markelova; Dilyara Khusnutdinova; Maria N. Siniagina; Sergey Malanin; Rustam Abdulkhakov; Sayar Abdulkhakov; V. M. Chernov; Tatiana V. Grigoryeva

The shotgun sequencing data presented in this report are related to the research article named “Gut microbiome shotgun sequencing in assessment of microbial community changes associated with H. pylori eradication therapy” (Khusnutdinova et al., 2016) [1]. Typically, the H. pylori eradication protocol includes a prolonged two-week use of the broad-spectrum antibiotics. The presented data on the whole-genome sequencing of the total DNA from stool samples of patients before the start of the eradication, immediately after eradication and several weeks after the end of treatment could help to profile the gut microbiota both taxonomically and functionally. The presented data together with those described in Glushchenko et al. (2017) [2] allow researchers to characterize the metagenomic profiles in which the use of antibiotics could result in dramatic changes in the intestinal microbiota composition. We perform 15 gut metagenomes from 5 patients with H. pylori infection, obtained through the shotgun sequencing on the SOLiD 5500 W platform. Raw reads are deposited in the ENA under project ID PRJEB21338.


Genome Announcements | 2015

Draft Genome Sequence of Agreia bicolorata Strain AC-1804, a Producer of Large Amounts of Carotenoid Pigments, Isolated from Narrow Reed Grass Infected by the Phytoparasitic Nematode

Ilya Vasilyev; Maria N. Siniagina; Sergey Malanin; Eugenia A. Boulygina; Tatiana Grygoryeva; Dina R. Yarullina; Olga N. Ilinskaya

ABSTRACT Here, we report the draft genome sequence of Agreia bicolorata strain AC-1804, isolated from narrow reed grass galls induced by a plant-parasitic nematode which is able to produce large amounts of carotenoid pigments. The draft genome sequence of 3,919,485 bp provides a resource for carotenoid pathway research.


Bioresource Technology | 2015

Impact of the substrate loading regime and phosphoric acid supplementation on performance of biogas reactors and microbial community dynamics during anaerobic digestion of chicken wastes.

Dmitry E. Belostotskiy; Elvira E. Ziganshina; Maria N. Siniagina; Eugenia A. Boulygina; Vasili A. Miluykov; Ayrat M. Ziganshin


Journal of Bionanoscience | 2016

Gut Microbiome Shotgun Sequencing in Assessment of Microbial Community Changes Associated with H. pylori Eradication Therapy

Dilyara Khusnutdinova; Tatiana V. Grigoryeva; Sayar Abdulkhakov; Dilyara Safina; Maria N. Siniagina; Maria Markelova; Eugenia A. Boulygina; Sergey Malanin; Alexander V. Tyakht; Boris A. Kovarsky; Ruzilya K. Ismagilova; Rustam Abdulkhakov; V. M. Chernov


Journal of Bionanoscience | 2017

Characterization of Dysbiotic Changes of Skin Microbiota in Contact Sports Athletes

Dilyara S. Martykanova; Nailja Ch. Davletova; Ilya A. Zemlenuhin; Salavat M. Mugallimov; Azat M. Ahatov; Nazira S. Karamova; Sergey Malanin; A. V. Laikov; Maria Markelova; Maria N. Siniagina; Eugenia A. Boulygina; Tatyana Grigoryeva


Genome Announcements | 2017

Genome Sequences of Acholeplasma laidlawii Strains Differing in Sensitivity to Ciprofloxacin

Elena S. Medvedeva; Maria N. Siniagina; Sergey Malanin; Eugenia A. Boulygina; Tatyana Y. Malygina; Natalia B. Baranova; Alexey A. Mouzykantov; Marina Davydova; Olga A. Chernova; Vladislav M. Chernov

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Sergey Malanin

Kazan Federal University

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V. M. Chernov

Kazan Federal University

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Dilyara Safina

Kazan Federal University

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