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Dive into the research topics where Natalia Mikhailova is active.

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Featured researches published by Natalia Mikhailova.


Nature | 2007

Metagenomic and functional analysis of hindgut microbiota of a wood-feeding higher termite

Falk Warnecke; Peter Luginbühl; Natalia Ivanova; Majid Ghassemian; Toby Richardson; Justin T. Stege; Michelle Cayouette; Alice C. McHardy; Gordana Djordjevic; Nahla Aboushadi; Rotem Sorek; Susannah G. Tringe; Mircea Podar; Hector Garcia Martin; Victor Kunin; Daniel Dalevi; Julita Madejska; Edward Kirton; Darren Platt; Ernest Szeto; Asaf Salamov; Kerrie Barry; Natalia Mikhailova; Nikos C. Kyrpides; Eric G. Matson; Elizabeth A. Ottesen; Xinning Zhang; Myriam Hernández; Catalina Murillo; Luis G. Acosta

From the standpoints of both basic research and biotechnology, there is considerable interest in reaching a clearer understanding of the diversity of biological mechanisms employed during lignocellulose degradation. Globally, termites are an extremely successful group of wood-degrading organisms and are therefore important both for their roles in carbon turnover in the environment and as potential sources of biochemical catalysts for efforts aimed at converting wood into biofuels. Only recently have data supported any direct role for the symbiotic bacteria in the gut of the termite in cellulose and xylan hydrolysis. Here we use a metagenomic analysis of the bacterial community resident in the hindgut paunch of a wood-feeding ‘higher’ Nasutitermes species (which do not contain cellulose-fermenting protozoa) to show the presence of a large, diverse set of bacterial genes for cellulose and xylan hydrolysis. Many of these genes were expressed in vivo or had cellulase activity in vitro, and further analyses implicate spirochete and fibrobacter species in gut lignocellulose degradation. New insights into other important symbiotic functions including H2 metabolism, CO2-reductive acetogenesis and N2 fixation are also provided by this first system-wide gene analysis of a microbial community specialized towards plant lignocellulose degradation. Our results underscore how complex even a 1-μl environment can be.


Nature | 2003

Genome sequence of Bacillus cereus and comparative analysis with Bacillus anthracis

Natalia Ivanova; Alexei Sorokin; Iain Anderson; Nathalie Galleron; Benjamin Candelon; Vinayak Kapatral; Anamitra Bhattacharyya; Gary Reznik; Natalia Mikhailova; Alla Lapidus; Lien Chu; Michael Mazur; Eugene Goltsman; Niels Bent Larsen; Mark D'Souza; Theresa L. Walunas; Yuri Grechkin; Gordon D. Pusch; Robert Haselkorn; Michael Fonstein; S. Dusko Ehrlich; Ross Overbeek; Nikos C. Kyrpides

Bacillus cereus is an opportunistic pathogen causing food poisoning manifested by diarrhoeal or emetic syndromes. It is closely related to the animal and human pathogen Bacillus anthracis and the insect pathogen Bacillus thuringiensis, the former being used as a biological weapon and the latter as a pesticide. B. anthracis and B. thuringiensis are readily distinguished from B. cereus by the presence of plasmid-borne specific toxins (B. anthracis and B. thuringiensis) and capsule (B. anthracis). But phylogenetic studies based on the analysis of chromosomal genes bring controversial results, and it is unclear whether B. cereus, B. anthracis and B. thuringiensis are varieties of the same species or different species. Here we report the sequencing and analysis of the type strain B. cereus ATCC 14579. The complete genome sequence of B. cereus ATCC 14579 together with the gapped genome of B. anthracis A2012 enables us to perform comparative analysis, and hence to identify the genes that are conserved between B. cereus and B. anthracis, and the genes that are unique for each species. We use the former to clarify the phylogeny of the cereus group, and the latter to determine plasmid-independent species-specific markers.


Nucleic Acids Research | 2003

The ERGOTM genome analysis and discovery system

Ross Overbeek; Niels Bent Larsen; Theresa L. Walunas; Mark D'Souza; Gordon D. Pusch; Eugene Selkov; Konstantinos Liolios; Viktor Joukov; Denis Kaznadzey; Iain Anderson; Anamitra Bhattacharyya; Henry Burd; Warren Gardner; Paul Hanke; Vinayak Kapatral; Natalia Mikhailova; Olga Vasieva; Andrei L. Osterman; Veronika Vonstein; Michael Fonstein; Natalia V. Ivanova; Nikos C. Kyrpides

The ERGO (http://ergo.integratedgenomics.com/ERGO/) genome analysis and discovery suite is an integration of biological data from genomics, biochemistry, high-throughput expression profiling, genetics and peer-reviewed journals to achieve a comprehensive analysis of genes and genomes. Far beyond any conventional systems that facilitate functional assignments, ERGO combines pattern-based analysis with comparative genomics by visualizing genes within the context of regulation, expression profiling, phylogenetic clusters, fusion events, networked cellular pathways and chromosomal neighborhoods of other functionally related genes. The result of this multifaceted approach is to provide an extensively curated database of the largest available integration of genomes, with a vast collection of reconstructed cellular pathways spanning all domains of life. Although access to ERGO is provided only under subscription, it is already widely used by the academic community. The current version of the system integrates 500 genomes from all domains of life in various levels of completion, 403 of which are available for subscription.


Nature | 2016

Uncovering Earth's virome

David Paez-Espino; Emiley A. Eloe-Fadrosh; Georgios A. Pavlopoulos; Alex D. Thomas; Marcel Huntemann; Natalia Mikhailova; Edward S. Rubin; Natalia Ivanova; Nikos C. Kyrpides

Viruses are the most abundant biological entities on Earth, but challenges in detecting, isolating, and classifying unknown viruses have prevented exhaustive surveys of the global virome. Here we analysed over 5 Tb of metagenomic sequence data from 3,042 geographically diverse samples to assess the global distribution, phylogenetic diversity, and host specificity of viruses. We discovered over 125,000 partial DNA viral genomes, including the largest phage yet identified, and increased the number of known viral genes by 16-fold. Half of the predicted partial viral genomes were clustered into genetically distinct groups, most of which included genes unrelated to those in known viruses. Using CRISPR spacers and transfer RNA matches to link viral groups to microbial host(s), we doubled the number of microbial phyla known to be infected by viruses, and identified viruses that can infect organisms from different phyla. Analysis of viral distribution across diverse ecosystems revealed strong habitat-type specificity for the vast majority of viruses, but also identified some cosmopolitan groups. Our results highlight an extensive global viral diversity and provide detailed insight into viral habitat distribution and host–virus interactions.


Nucleic Acids Research | 1998

MPW: the Metabolic Pathways Database.

Evgeni Selkov; Yuri Grechkin; Natalia Mikhailova

The Metabolic Pathwasy Database (MPW) (www.biobase.com/emphome.html/homepage. html.pags/pathways.html) a derivative of EMP (www.biobase.com/EMP) plays a fundamental role in the technology of metabolic reconstructions from sequenced genomes under the PUMA (www.mcs.anl.gov/home/compbio/PUMA/Production/ ReconstructedMetabolism/reconstruction.html), WIT (www.mcs.anl.gov/home/compbio/WIT/wit.html ) and WIT2 (beauty.isdn.msc.anl.gov/WIT2.pub/CGI/user.cgi) systems. In October 1997, it included some 2800 pathway diagrams covering primary and secondary metabolism, membrane transport, signal transduction pathways, intracellular traffic, translation and transcription. In the current public release of MPW (beauty.isdn.mcs.anl.gov/MPW), the encoding is based on the logical structure of the pathways and is represented by the objects commonly used in electronic circuit design. This facilitates drawing and editing the diagrams and makes possible automation of the basic simulation operations such as deriving stoichiometric matrices, rate laws, and, ultimately, dynamic models of metabolic pathways. Individual pathway diagrams, automatically derived from the original ASCII records, are stored as SGML instances supplemented by relational indices. An auxiliary database of compound names and structures, encoded in the SMILES format, is maintained to unambiguously connect the pathways to the chemical structures of their intermediates.


PLOS ONE | 2011

The complete genome sequence of Fibrobacter succinogenes S85 reveals a cellulolytic and metabolic specialist.

Garret Suen; Paul J. Weimer; David M. Stevenson; Frank O. Aylward; Julie Boyum; Jan Deneke; Colleen Drinkwater; Natalia Ivanova; Natalia Mikhailova; Olga Chertkov; Lynne Goodwin; Cameron R. Currie; David A. Mead; Phillip J. Brumm

Fibrobacter succinogenes is an important member of the rumen microbial community that converts plant biomass into nutrients usable by its host. This bacterium, which is also one of only two cultivated species in its phylum, is an efficient and prolific degrader of cellulose. Specifically, it has a particularly high activity against crystalline cellulose that requires close physical contact with this substrate. However, unlike other known cellulolytic microbes, it does not degrade cellulose using a cellulosome or by producing high extracellular titers of cellulase enzymes. To better understand the biology of F. succinogenes, we sequenced the genome of the type strain S85 to completion. A total of 3,085 open reading frames were predicted from its 3.84 Mbp genome. Analysis of sequences predicted to encode for carbohydrate-degrading enzymes revealed an unusually high number of genes that were classified into 49 different families of glycoside hydrolases, carbohydrate binding modules (CBMs), carbohydrate esterases, and polysaccharide lyases. Of the 31 identified cellulases, none contain CBMs in families 1, 2, and 3, typically associated with crystalline cellulose degradation. Polysaccharide hydrolysis and utilization assays showed that F. succinogenes was able to hydrolyze a number of polysaccharides, but could only utilize the hydrolytic products of cellulose. This suggests that F. succinogenes uses its array of hemicellulose-degrading enzymes to remove hemicelluloses to gain access to cellulose. This is reflected in its genome, as F. succinogenes lacks many of the genes necessary to transport and metabolize the hydrolytic products of non-cellulose polysaccharides. The F. succinogenes genome reveals a bacterium that specializes in cellulose as its sole energy source, and provides insight into a novel strategy for cellulose degradation.


Molecular Plant-microbe Interactions | 2006

Identification of Open Reading Frames Unique to a Select Agent: Ralstonia solanacearum Race 3 Biovar 2

Dean W. Gabriel; Caitilyn Allen; Mark A. Schell; Timothy P. Denny; Jean T. Greenberg; Yong Ping Duan; Zomary Flores-Cruz; Qi Huang; Jennifer M. Clifford; Gernot G. Presting; Enid T. González; Joseph D. Reddy; J. G. Elphinstone; Jill K. Swanson; Jian Yao; Vincent Mulholland; Li Liu; William G. Farmerie; Manjeera Patnaikuni; Botond Balogh; David J. Norman; Anne M. Alvarez; J. Castillo; Jeffrey B. Jones; Gerry S. Saddler; Theresa L. Walunas; Aleksey Zhukov; Natalia Mikhailova

An 8x draft genome was obtained and annotated for Ralstonia solanacearum race 3 biovar 2 (R3B2) strain UW551, a United States Department of Agriculture Select Agent isolated from geranium. The draft UW551 genome consisted of 80,169 reads resulting in 582 contigs containing 5,925,491 base pairs, with an average 64.5% GC content. Annotation revealed a predicted 4,454 protein coding open reading frames (ORFs), 43 tRNAs, and 5 rRNAs; 2,793 (or 62%) of the ORFs had a functional assignment. The UW551 genome was compared with the published genome of R. solanacearum race 1 biovar 3 tropical tomato strain GMI1000. The two phylogenetically distinct strains were at least 71% syntenic in gene organization. Most genes encoding known pathogenicity determinants, including predicted type III secreted effectors, appeared to be common to both strains. A total of 402 unique UW551 ORFs were identified, none of which had a best hit or >45% amino acid sequence identity with any R. solanacearum predicted protein; 16 had strong (E < 10(-13)) best hits to ORFs found in other bacterial plant pathogens. Many of the 402 unique genes were clustered, including 5 found in the hrp region and 38 contiguous, potential prophage genes. Conservation of some UW551 unique genes among R3B2 strains was examined by polymerase chain reaction among a group of 58 strains from different races and biovars, resulting in the identification of genes that may be potentially useful for diagnostic detection and identification of R3B2 strains. One 22-kb region that appears to be present in GMI1000 as a result of horizontal gene transfer is absent from UW551 and encodes enzymes that likely are essential for utilization of the three sugar alcohols that distinguish biovars 3 and 4 from biovars 1 and 2.


BMC Genomics | 2011

Exploring the symbiotic pangenome of the nitrogen-fixing bacterium Sinorhizobium meliloti

Marco Galardini; Alessio Mengoni; Matteo Brilli; Francesco Pini; Antonella Fioravanti; Susan Lucas; Alla Lapidus; Jan-Fang Cheng; Lynne Goodwin; Sam Pitluck; Miriam Land; Loren Hauser; Tanja Woyke; Natalia Mikhailova; Natalia Ivanova; Hajnalka E. Daligault; David Bruce; J. Chris Detter; Roxanne Tapia; Cliff Han; Hazuki Teshima; Stefano Mocali; Marco Bazzicalupo; Emanuele G. Biondi

BackgroundSinorhizobium meliloti is a model system for the studies of symbiotic nitrogen fixation. An extensive polymorphism at the genetic and phenotypic level is present in natural populations of this species, especially in relation with symbiotic promotion of plant growth. AK83 and BL225C are two nodule-isolated strains with diverse symbiotic phenotypes; BL225C is more efficient in promoting growth of the Medicago sativa plants than strain AK83. In order to investigate the genetic determinants of the phenotypic diversification of S. meliloti strains AK83 and BL225C, we sequenced the complete genomes for these two strains.ResultsWith sizes of 7.14 Mbp and 6.97 Mbp, respectively, the genomes of AK83 and BL225C are larger than the laboratory strain Rm1021. The core genome of Rm1021, AK83, BL225C strains included 5124 orthologous groups, while the accessory genome was composed by 2700 orthologous groups. While Rm1021 and BL225C have only three replicons (Chromosome, pSymA and pSymB), AK83 has also two plasmids, 260 and 70 Kbp long. We found 65 interesting orthologous groups of genes that were present only in the accessory genome, consequently responsible for phenotypic diversity and putatively involved in plant-bacterium interaction. Notably, the symbiosis inefficient AK83 lacked several genes required for microaerophilic growth inside nodules, while several genes for accessory functions related to competition, plant invasion and bacteroid tropism were identified only in AK83 and BL225C strains. Presence and extent of polymorphism in regulons of transcription factors involved in symbiotic interaction were also analyzed. Our results indicate that regulons are flexible, with a large number of accessory genes, suggesting that regulons polymorphism could also be a key determinant in the variability of symbiotic performances among the analyzed strains.ConclusionsIn conclusions, the extended comparative genomics approach revealed a variable subset of genes and regulons that may contribute to the symbiotic diversity.


Journal of Bacteriology | 2010

Sequencing of Multiple Clostridial Genomes Related to Biomass Conversion and Biofuel Production

Christopher L. Hemme; Housna Mouttaki; Yong Jin Lee; Gengxin Zhang; Lynne Goodwin; Susan Lucas; Alex Copeland; Alla Lapidus; Tijana Glavina del Rio; Hope Tice; Elizabeth Saunders; Thomas Brettin; John C. Detter; Cliff Han; Sam Pitluck; Miriam Land; Loren Hauser; Nikos C. Kyrpides; Natalia Mikhailova; Zhili He; Liyou Wu; Joy D. Van Nostrand; Bernard Henrissat; Qiang He; Paul A. Lawson; Ralph S. Tanner; Lee R. Lynd; Juergen Wiegel; Matthew W. Fields; Adam P. Arkin

Modern methods to develop microbe-based biomass conversion processes require a system-level understanding of the microbes involved. Clostridium species have long been recognized as ideal candidates for processes involving biomass conversion and production of various biofuels and other industrial products. To expand the knowledge base for clostridial species relevant to current biofuel production efforts, we have sequenced the genomes of 20 species spanning multiple genera. The majority of species sequenced fall within the class III cellulosome-encoding Clostridium and the class V saccharolytic Thermoanaerobacteraceae. Species were chosen based on representation in the experimental literature as model organisms, ability to degrade cellulosic biomass either by free enzymes or by cellulosomes, ability to rapidly ferment hexose and pentose sugars to ethanol, and ability to ferment synthesis gas to ethanol. The sequenced strains significantly increase the number of noncommensal/nonpathogenic clostridial species and provide a key foundation for future studies of biomass conversion, cellulosome composition, and clostridial systems biology.


BMC Genomics | 2011

Complete genome sequence of the filamentous anoxygenic phototrophic bacterium Chloroflexus aurantiacus

Kuo-Hsiang Tang; Kerrie Barry; Olga Chertkov; Eileen Dalin; Cliff Han; Loren Hauser; Barbara M. Honchak; Lauren E. Karbach; Miriam Land; Alla Lapidus; Frank W. Larimer; Natalia Mikhailova; Samuel Pitluck; Beverly K. Pierson; Robert E. Blankenship

BackgroundChloroflexus aurantiacus is a thermophilic filamentous anoxygenic phototrophic (FAP) bacterium, and can grow phototrophically under anaerobic conditions or chemotrophically under aerobic and dark conditions. According to 16S rRNA analysis, Chloroflexi species are the earliest branching bacteria capable of photosynthesis, and Cfl. aurantiacus has been long regarded as a key organism to resolve the obscurity of the origin and early evolution of photosynthesis. Cfl. aurantiacus contains a chimeric photosystem that comprises some characters of green sulfur bacteria and purple photosynthetic bacteria, and also has some unique electron transport proteins compared to other photosynthetic bacteria.MethodsThe complete genomic sequence of Cfl. aurantiacus has been determined, analyzed and compared to the genomes of other photosynthetic bacteria.ResultsAbundant genomic evidence suggests that there have been numerous gene adaptations/replacements in Cfl. aurantiacus to facilitate life under both anaerobic and aerobic conditions, including duplicate genes and gene clusters for the alternative complex III (ACIII), auracyanin and NADH:quinone oxidoreductase; and several aerobic/anaerobic enzyme pairs in central carbon metabolism and tetrapyrroles and nucleic acids biosynthesis. Overall, genomic information is consistent with a high tolerance for oxygen that has been reported in the growth of Cfl. aurantiacus. Genes for the chimeric photosystem, photosynthetic electron transport chain, the 3-hydroxypropionate autotrophic carbon fixation cycle, CO2-anaplerotic pathways, glyoxylate cycle, and sulfur reduction pathway are present. The central carbon metabolism and sulfur assimilation pathways in Cfl. aurantiacus are discussed. Some features of the Cfl. aurantiacus genome are compared with those of the Roseiflexus castenholzii genome. Roseiflexus castenholzii is a recently characterized FAP bacterium and phylogenetically closely related to Cfl. aurantiacus. According to previous reports and the genomic information, perspectives of Cfl. aurantiacus in the evolution of photosynthesis are also discussed.ConclusionsThe genomic analyses presented in this report, along with previous physiological, ecological and biochemical studies, indicate that the anoxygenic phototroph Cfl. aurantiacus has many interesting and certain unique features in its metabolic pathways. The complete genome may also shed light on possible evolutionary connections of photosynthesis.

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Lynne Goodwin

Los Alamos National Laboratory

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Miriam Land

Oak Ridge National Laboratory

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Sam Pitluck

Joint Genome Institute

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Amy Chen

Joint Genome Institute

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Amrita Pati

Joint Genome Institute

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Matt Nolan

Joint Genome Institute

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Susan Lucas

United States Department of Energy

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Tanja Woyke

Joint Genome Institute

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Cliff Han

Los Alamos National Laboratory

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