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1. In vitro and in silico studies on fibrinolytic activity of nattokinase: A clot buster from Bacillus sp

Author

V. Mohanasrinivasan, C. Subathra Devi, Sourav Chatterji, Srinath Konne, Arumugam Mohanapriya, S. Merlyn Keziah, Swaroop Potdar, and Sweta Kumari

Subjects
0106 biological sciences, 0301 basic medicine, Plasmin, medicine.medical_treatment, Fibrinogen, 01 natural sciences, 03 medical and health sciences, chemistry.chemical_compound, 010608 biotechnology, Genetics, medicine, Binding site, Ecology, Evolution, Behavior and Systematics, chemistry.chemical_classification, Serine protease, Protease, Ecology, biology, Subtilisin, Molecular biology, 030104 developmental biology, Enzyme, Biochemistry, chemistry, biology.protein, Nattokinase, Biotechnology, medicine.drug
Abstract

Nattokinase (NK) is a serine protease enzyme of the subtilisin family. It exhibits a strong fibrinolytic activity. The fibrinolytic enzymes from Bacillus sp. have attracted interest as thrombolytic agents because of their efficiency in the fibrinolytic process including plasmin activation. In the present study, VIT garden soil was collected and subjected to isolation process in order to screen for the NK production. Screening for NK enzyme was performed by radial caseinolytic assay. The production of NK enzyme was done in two different production medium for comparative studies. The NK enzyme was purified by gel permeation chromatography. The activity of the purified NK was checked by clot lysis and casein digestion assay. To investigate the structural basis of NK and fibrinogen interaction and also to identify the best binding mode, molecular dynamics and docking studies were performed. Based on the morphological and biochemical characterization, the isolate was identified as Bacillus sp. The overall purification fold of NK was about 3 with the specific activity of 664U/mg and 9.9% yield. Homogeneity of the purified enzyme was analyzed and confirmed by the single band obtained in SDS-PAGE. Molecular weight of the purified protease was estimated as 25 kDa. Purified NK enzyme exhibited 97% of effective clot lysis activity. The NK was docked in to the knob region of the fibrinogen at its binding site using Dock server. A total of 26 residues of fibrinogen and 29 residues of NK constitute the interface region. However, 9 residues of fibrinogen (THR238, MET264, LYS266, ARG275, THR277, ALA279, ASN308, MET310, and LYS321) and 8 residues of NK (GLY61, SER63, THR99, PHE189, LEU209, TYR217, ASN218, and MET222) are involved in intact binding. A significant amount of NK enzyme was obtained from Bacillus sp. The docking analysis revealed that the NK and fibrinogen adopt an extended binding pattern and interacts with the crucial residues to exhibit their activity.

Published
2017
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2. CompostBin: A DNA Composition-Based Algorithm for Binning Environmental Shotgun Reads

Author

Jonathan A. Eisen, Zhaojun Bai, Ichitaro Yamazaki, and Sourav Chatterji

Subjects
0303 health sciences, Sequence, Contig, Shotgun sequencing, Feature extraction, Biology, Genome, Data set, 03 medical and health sciences, 0302 clinical medicine, Metagenomics, Cluster analysis, Algorithm, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract

A major hindrance to studies of microbial diversity has been that the vast majority of microbes cannot be cultured in the laboratory and thus are not amenable to traditional methods of characterization. Environmental shotgun sequencing (ESS) overcomes this hurdle by sequencing the DNA from the organisms present in a microbial community. The interpretation of this metagenomic data can be greatly facilitated by associating every sequence read with its source organism. We report the development of CompostBin, a DNA composition-based algorithm for analyzing metagenomic sequence reads and distributing them into taxon-specific bins. Unlike previous methods that seek to bin assembled contigs and often require training on known reference genomes, CompostBin has the ability to accurately bin raw sequence reads without need for assembly or training. CompostBin uses a novel weighted PCA algorithm to project the high dimensional DNA composition data into an informative lower-dimensional space, and then uses the normalized cut clustering algorithm on this filtered data set to classify sequences into taxon-specific bins. We demonstrate the algorithm's accuracy on a variety of low to medium complexity data sets.

Published
2008
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3. Evolution of genes and genomes on the Drosophila phylogeny

Author

Adam M. Phillippy, Edward Grandbois, Pen MacDonald, Iain MacCallum, Laura K. Reed, Wojciech Makalowski, Tracey Honan, Tania Tassinari Rieger, Melissa J. Hubisz, Josep M. Comeron, Douglas Smith, Jennifer Godfrey, Sebastian Strempel, Amr Abdouelleil, Brenton Gravely, Harindra Arachi, Albert J. Vilella, Marc Azer, Sarah A. Teichmann, Roger A. Hoskins, Corbin D. Jones, Keenan Ross, Derek Wilson, Stuart J. Newfeld, John Stalker, Thomas D. Watts, Dennis C. Friedrich, Therese A. Markow, Michael U. Mollenhauer, Tina Goode, Geneva Young, Terry Shea, Krista Lance, Karin A. Remington, Kevin A. Edwards, Lynne Aftuck, Cecil Rise, Sheridon Channer, Matthew D. Rasmussen, Nicole Stange-Thomann, Annie Lui, Robert A. Reenan, Todd Sparrow, Dave Begun, Tamrat Negash, Laura K. Sirot, Adrianne Brand, Adam Brown, Daisuke Yamamoto, Pema Phunkhang, Justin Abreu, Russell Schwartz, Ana Llopart, Abderrahim Farina, Kebede Maru, Chung-I Wu, Allen Alexander, Scott Anderson, So Jeong Lee, Jason Blye, Gary H. Karpen, Wilfried Haerty, Daniel A. Barbash, Peter Rogov, Barry O'Neill, Rachel Mittelman, Jakob Skou Pedersen, Leanne Hughes, Robert K. Bradley, Graziano Pesole, Wyatt W. Anderson, Anthony J. Greenberg, Alejandro Sánchez-Gracia, Julio Rozas, Stephen W. Schaeffer, Yama Thoulutsang, Roger K. Butlin, David H. Ardell, Stuart DeGray, Chris P. Ponting, Deborah E. Stage, Corrado Caggese, Montserrat Aguadé, Casey M. Bergman, Diallo Ferguson, Peili Zhang, Jeffrey R. Powell, Hajime Sato, Xiaohong Liu, Marta Sabariego Puig, Michael Parisi, Passang Dorje, Yoshihiko Tomimura, Adal Abebe, Carlo G. Artieri, Brian Hurhula, Filip Rege, Peter D. Keightley, Andrew Barry, Pablo Alvarez, Tsamla Tsamla, Marvin Wasserman, Santosh Jagadeeshan, Daniel L. Halligan, Chelsea D. Foley, Kim D. Delehaunty, Manfred Grabherr, Sourav Chatterji, Angela N. Brooks, James C. Costello, Mieke Citroen, James A. Yorke, Hsiao Pei Yang, Charles Chapple, Jian Lu, Carlos A. Machado, Norbu Dhargay, Tsering Wangchuk, Anat Caspi, Patrick Cahill, Tashi Bayul, Lisa Levesque, Otero L. Oyono, Atanas Mihalev, Dawa Thoulutsang, Dawn N. Abt, Sujaa Raghuraman, Manyuan Long, Maria Mendez-Lago, Charles Matthews, Kimberly Dooley, Alex Wong, Melanie A. Huntley, William R. Jeck, Ira Topping, Ben Kanga, José P. Abad, Ana Cristina Lauer Garcia, Brikti Abera, Kunsang Gyaltsen, Jonathan Butler, Alicia Franke, Michael C. Schatz, Cheewhye Chin, Charles F. Aquadro, Justin Johnson, Bryant F. McAllister, Georgia Giannoukos, M. Erii Husby, Rod A. Wing, Shangtao Liu, Jean L. Chang, Jennifer Daub, Eiko Kataoka, Leopold Parts, Rakela Lubonja, Margaret Priest, Yoshiko N. Tobari, Teena Mehta, Evgeny M. Zdobnov, Yeshi Lokyitsang, Richard Elong, Matthew J. Parisi, Louis Meneus, Eric S. Lander, Alan Filipski, Gary Gearin, Nabil Hafez, Nicholas Sisneros, David B. Jaffe, Ian Holmes, Marina Sirota, Leonid Boguslavskiy, Lisa Chuda, LaDeana W. Hillier, Meizhong Luo, Phil Batterham, Michael Kleber, Richard K. Wilson, Yama Cheshatsang, Qing Yu, Rebecca Reyes, Matthew W. Hahn, Andreas Heger, Mar Marzo, Patrick Minx, Kerstin Lindblad-Toh, Vera L. S. Valente, Adam Wilson, William C. Jordan, Mohamed A. F. Noor, Chiao-Feng Lin, Asha Kamat, Heather Ebling, Mihai Pop, Frances Letendre, Mariana F. Wolfner, Don Gilbert, Ngawang Sherpa, Riza M. Daza, Oana Mihai, Gabriel C. Wu, Aaron M. Berlin, Ewen F. Kirkness, Monika D. Huard, Robert S. Fulton, Randall H. Brown, Danni Zhong, Sharon Stavropoulos, Venky N. Iyer, Xu Mu, Christina R. Gearin, David M. Rand, Jerry A. Coyne, Dan Hultmark, Jill Falk, Christopher Patti, Montserrat Papaceit, James Meldrim, Valentine Mlenga, Muneo Matsuda, Sven Findeiß, Todd A. Schlenke, Kevin McKernan, Brian P. Walenz, Timothy B. Sackton, Leonardo Koerich, Peter An, Robert Nicol, Chuong B. Do, Dmitry Khazanovich, Carmen Segarra, Maura Costello, St Christophe Acer, Claudia Rohde, Serafim Batzoglou, Hadi Quesneville, Evan Mauceli, Andy Vo, Luciano M. Matzkin, Susan E. Celniker, Patrick M. O’Grady, William M. Gelbart, Lloyd Low, Jamal Abdulkadir, Jessica Spaulding, Brian R. Calvi, Charlotte Henson, Robert David, Jennifer L. Hall, Andrew G. Clark, Anastasia Gardiner, Susan M. Russo, Birhane Hagos, Kerri Topham, Amy Denise Reily, Eli Venter, Jerome Naylor, Sandra W. Clifton, Valer Gotea, Samuel R. Gross, Manolis Kellis, Claude Bonnet, Christopher Strader, Tashi Lokyitsang, Nyima Norbu, Jennifer Baldwin, Stephen M. Mount, Robert L. Strausberg, Shailendra Yadav, Kristipati Ravi Ram, Steven L. Salzberg, Erik Gustafson, David A. Garfield, Eva Freyhult, Arthur L. Delcher, Enrico Blanco, Granger G. Sutton, Jason M. Tsolas, Charles Robin, Angie S. Hinrichs, Christopher D. Smith, Jane Wilkinson, Brendan McKernan, Fritz Pierre, William McCusker, Brian Oliver, Barry E. Garvin, Sudhir Kumar, Peter Kisner, Kunsang Dorjee, A. Bernardo Carvalho, Anna Montmayeur, Andrew Zimmer, Diana Shih, Wei Tao, Shiaw Pyng Yang, Sante Gnerre, Sampath Settipalli, Thu Nguyen, Paolo Barsanti, Brian P. Lazzaro, Sonja J. Prohaska, J. Craig Venter, Senait Tesfaye, Susan McDonough, Kim D. Pruitt, Alexander Stark, Sergio Castrezana, Lucinda Fulton, Richard T. Lapoint, Greg Gibson, John Spieth, Boris Adryan, Georgius De Haan, Sheila Fisher, Daniel A. Pollard, Seva Kashin, Rob J. Kulathinal, Michael B. Eisen, Nathaniel Novod, Christina Demaso, Alan Dupes, Amanda M. Larracuente, Toby Bloom, Alfredo Villasante, Charles H. Langley, Rama S. Singh, Niall J. Lennon, Kristi L. Montooth, Daniel Barker, Wolfgang Stephan, David Sturgill, Ruiqiang Li, Andrew Hollinger, Boris Boukhgalter, Talene Thomson, Patrick Cooke, Zac Zwirko, Nadia D. Singh, Michael Weiand, Lior Pachter, Roderic Guigó, Yu Zhang, Jay D. Evans, Stephanie Bosak, Rosie Levine, Lu Shi, Kiyohito Yoshida, Carolyn S. McBride, Pouya Kheradpour, William Brockman, Alberto Civetta, Hiroshi Akashi, Marcia Lara, Susan Faro, Sam Griffiths-Jones, Michael R. Brent, Thomas H. Eickbush, Gane Ka-Shu Wong, Elizabeth P. Ryan, Erica Anderson, Roberta Kwok, Asif T. Chinwalla, Sahal Osman, Nga Nguyen, Damiano Porcelli, Missole Doricent, Saverio Vicario, Marc Rubenfield, Bárbara Negre, Gillian M. Halter, Erin E. Dooley, Elena R. Lozovsky, William Lee, Alville Collymore, Catherine Stone, Tanya Mihova, Jun Wang, Karsten Kristiansen, Imane Bourzgui, Michael F. Lin, Katie D'Aco, Filipe G. Vieira, Choe Norbu, Yu-Hui Rogers, Aaron L. Halpern, Eugene W. Myers, Sharleen Grewal, Robert T. Good, Alfredo Ruiz, Dave Kudrna, Joseph Graham, Alex Lipovsky, Leonidas Mulrain, Tsering Wangdi, Roman Arguello, Mira V. Han, Arjun Bhutkar, Rasmus Nielsen, David J. Saranga, Aleksey V. Zimin, Vasilia Magnisalis, Helen Vassiliev, Thomas C. Kaufman, Eva Markiewicz, Temple F. Smith, Jinlei Liu, Loryn Gadbois, Michael G. Ritchie, Lisa Zembek, Daniel Bessette, Pasang Bachantsang, Adam Navidi, Department of Molecular Biology and Genetics, Cornell University [New York], Lawrence Berkeley National Laboratory [Berkeley] (LBNL), University of California [Berkeley], University of California, Agencourt Bioscience Corporation, Partenaires INRAE, Faculty of Life Science, University of Manchester [Manchester], Laboratory of Cellular and Developmental Biology (LCDB), NIDDK, NIH, Department of Ecology and Evolutionary Biology, University of Arizona, Department of Biology, Indiana University [Bloomington], Indiana University System-Indiana University System, Massachusetts Institute of Technology (MIT), Harvard University [Cambridge], Centro de Biología Molecular Severo Ochoa [Madrid] (CBMSO), Universidad Autonoma de Madrid (UAM)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Brown University, Laboratory of Molecular Biology, Medical Research Council, Departament de Genetica, Universitat de Barcelona (UB), Pennsylvania State University (Penn State), Penn State System-Penn State System, Department of Genetics, University of Georgia [USA], Uppsala University, Department of Ecology and Evolution [Lausanne], Université de Lausanne (UNIL), McMaster University, School of Biology, IE University, Università degli Studi di Bari Aldo Moro, University of Melbourne, Stanford University, University of California [Davis] (UC Davis), Boston University [Boston] (BU), Centro de Regulación Genómica (CRG), Universitat Pompeu Fabra [Barcelona] (UPF), Washington University in Saint Louis (WUSTL), University of Sheffield, Syracuse University, Universidade Federal Rural do Rio de Janeiro (UFRRJ), Department of Bioengineering, Beihang University (BUAA), Tucson Stock Center, Genome Center, University of California-University of California, Genome Sequencing Center, University of Washington School of Medicine, University of Winnipeg, Iowa State University (ISU), Indiana University System, The Wellcome Trust Sanger Institute [Cambridge], Center for Bioinformatics and Computational Biology, University of Delaware [Newark], Illinois State University, University of Rochester [USA], United States Department of Agriculture (USDA), Arizona State University [Tempe] (ASU), Leipzig University, Universidade Federal do Rio Grande do Sul (UFRGS), Duke University, North Carolina State University [Raleigh] (NC State), University of North Carolina System (UNC)-University of North Carolina System (UNC), University of Connecticut (UCONN), Computer Science Département, Université Saint-Esprit de Kaslik (USEK), Mc Master University, Indiana University, Institute of Evolutionary Biology, University of Edinburgh, J. Craig Venter Institute [La Jolla, USA] (JCVI), University of Oxford [Oxford], Center for Biomolecular Science and Engineering, Unité de Recherche Génomique Info (URGI), Institut National de la Recherche Agronomique (INRA), and Zdobnov, Evgeny

Subjects
melanogaster genome, 0106 biological sciences, RNA, Untranslated, [SDV]Life Sciences [q-bio], Genome, Insect, RNA, Untranslated/genetics, Genes, Insect, 01 natural sciences, Genome, Genome, Insect/ genetics, Gene Order, Genome, Mitochondrial/genetics, Drosophila Proteins, Phylogeny, ddc:616, Genetics, 0303 health sciences, Multidisciplinary, biology, Reproduction, Genomics, Multigene Family/genetics, Reproduction/genetics, DNA Transposable Elements/genetics, Genes, Insect/ genetics, Multigene Family, dosage compensation, Drosophila, amino-acid substitution, Drosophila Protein, Drosophila Proteins/genetics, Synteny/genetics, fruit-fly, 010603 evolutionary biology, Synteny, Drosophila sechellia, Evolution, Molecular, 03 medical and health sciences, Phylogenetics, Molecular evolution, Codon/genetics, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Animals, adaptive protein evolution, Codon, 030304 developmental biology, Gene Order/genetics, molecular evolution, fungi, Immunity, synonymous codon usage, Sequence Analysis, DNA, Immunity/genetics, biology.organism_classification, Drosophila mojavensis, Evolutionary biology, Genome, Mitochondrial, DNA Transposable Elements, maximum-likelihood, noncoding dna, Drosophila/ classification/ genetics/immunology/metabolism, Sequence Alignment, natural-selection, Drosophila yakuba
Abstract

Affiliations des auteurs : cf page 216 de l'article; International audience; Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species.

Published
2007
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4. Assembling the Marine Metagenome, One Cell at a Time

Author

Michael E. Sieracki, Gary Xie, José M. González, Ramunas Stepanauskas, Pavel Senin, Chi Yang, Jonathan A. Eisen, Tanja Woyke, Sourav Chatterji, Jimmy H. Saw, Hajnalka Kiss, Cliff Han, Jan Fang Cheng, and Alex Copeland

Subjects
Rhodopsin, Science, Marine and Aquatic Sciences/Genetics, Genomics, and Barcoding, Marine and Aquatic Sciences, Marine Biology, Genomics, Biology, Ecology/Marine and Freshwater Ecology, Genome, DNA sequencing, 03 medical and health sciences, Marine and Aquatic Sciences/Microbiology, RNA, Ribosomal, 16S, Rhodopsins, Microbial, Marine and Aquatic Sciences/Biological Oceanography, Animals, Microbiology/Environmental Microbiology, 14. Life underwater, Genetics and Genomics/Genomics, Phylogeny, 030304 developmental biology, Marine and Aquatic Sciences/Ecology, Genetics, Comparative genomics, Marine biology, 0303 health sciences, Multidisciplinary, 030306 microbiology, Shotgun sequencing, Biodiversity, Sequence Analysis, DNA, Marine and Aquatic Sciences/Bioinformatics, Plankton, Computational Biology/Metagenomics, Genetics and Genomics/Genome Projects, Single cell sequencing, Genes, Bacterial, Metagenomics, Evolutionary biology, Medicine, Genome, Bacterial, Ecology/Environmental Microbiology, Research Article, Computational Biology/Genomics
Abstract

The difficulty associated with the cultivation of most microorganisms and the complexity of natural microbial assemblages, such as marine plankton or human microbiome, hinder genome reconstruction of representative taxa using cultivation or metagenomic approaches. Here we used an alternative, single cell sequencing approach to obtain high-quality genome assemblies of two uncultured, numerically significant marine microorganisms. We employed fluorescence-activated cell sorting and multiple displacement amplification to obtain hundreds of micrograms of genomic DNA from individual, uncultured cells of two marine flavobacteria from the Gulf of Maine that were phylogenetically distant from existing cultured strains. Shotgun sequencing and genome finishing yielded 1.9 Mbp in 17 contigs and 1.5 Mbp in 21 contigs for the two flavobacteria, with estimated genome recoveries of about 91% and 78%, respectively. Only 0.24% of the assembling sequences were contaminants and were removed from further analysis using rigorous quality control. In contrast to all cultured strains of marine flavobacteria, the two single cell genomes were excellent Global Ocean Sampling (GOS) metagenome fragment recruiters, demonstrating their numerical significance in the ocean. The geographic distribution of GOS recruits along the Northwest Atlantic coast coincided with ocean surface currents. Metabolic reconstruction indicated diverse potential energy sources, including biopolymer degradation, proteorhodopsin photometabolism, and hydrogen oxidation. Compared to cultured relatives, the two uncultured flavobacteria have small genome sizes, few non-coding nucleotides, and few paralogous genes, suggesting adaptations to narrow ecological niches. These features may have contributed to the abundance of the two taxa in specific regions of the ocean, and may have hindered their cultivation. We demonstrate the power of single cell DNA sequencing to generate reference genomes of uncultured taxa from a complex microbial community of marine bacterioplankton. A combination of single cell genomics and metagenomics enabled us to analyze the genome content, metabolic adaptations, and biogeography of these taxa.

Published
2009
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5. Complete Genome Sequence of the Aerobic CO-Oxidizing Thermophile Thermomicrobium roseum

Author

Luke J. Tallon, Martin Wu, Jonathan A. Eisen, Jason Raymond, Frank T. Robb, Donald A. Bryant, Dongying Wu, Joel E. Graham, Qinghu Ren, Sourav Chatterji, Albert S. Colman, Jonathan H. Badger, Naomi L. Ward, and Ramana Madupu

Subjects
Genome evolution, Science, Bacterial genome size, Biochemistry, Microbiology, Genome, Hot Springs, 03 medical and health sciences, Phylogenetics, Gram-Negative Bacteria, Photosynthesis, Phylogeny, 030304 developmental biology, Genetics, Whole genome sequencing, Carbon Monoxide, 0303 health sciences, Multidisciplinary, Ecology, biology, 030306 microbiology, Phylum, Chemotaxis, Thermophile, Genetics and Genomics, Chloroflexi, Sequence Analysis, DNA, biology.organism_classification, Bacteria, Aerobic, Chloroflexi (class), Flagella, Medicine, DNA, Circular, Genome, Bacterial, Metabolic Networks and Pathways, Research Article
Abstract

In order to enrich the phylogenetic diversity represented in the available sequenced bacterial genomes and as part of an “Assembling the Tree of Life” project, we determined the genome sequence of Thermomicrobium roseum DSM 5159. T. roseum DSM 5159 is a red-pigmented, rod-shaped, Gram-negative extreme thermophile isolated from a hot spring that possesses both an atypical cell wall composition and an unusual cell membrane that is composed entirely of long-chain 1,2-diols. Its genome is composed of two circular DNA elements, one of 2,006,217 bp (referred to as the chromosome) and one of 919,596 bp (referred to as the megaplasmid). Strikingly, though few standard housekeeping genes are found on the megaplasmid, it does encode a complete system for chemotaxis including both chemosensory components and an entire flagellar apparatus. This is the first known example of a complete flagellar system being encoded on a plasmid and suggests a straightforward means for lateral transfer of flagellum-based motility. Phylogenomic analyses support the recent rRNA-based analyses that led to T. roseum being removed from the phylum Thermomicrobia and assigned to the phylum Chloroflexi. Because T. roseum is a deep-branching member of this phylum, analysis of its genome provides insights into the evolution of the Chloroflexi. In addition, even though this species is not photosynthetic, analysis of the genome provides some insight into the origins of photosynthesis in the Chloroflexi. Metabolic pathway reconstructions and experimental studies revealed new aspects of the biology of this species. For example, we present evidence that T. roseum oxidizes CO aerobically, making it the first thermophile known to do so. In addition, we propose that glycosylation of its carotenoids plays a crucial role in the adaptation of the cell membrane to this bacterium's thermophilic lifestyle. Analyses of published metagenomic sequences from two hot springs similar to the one from which this strain was isolated, show that close relatives of T. roseum DSM 5159 are present but have some key differences from the strain sequenced.

Published
2009
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6. [Untitled]

Author

Sourav Chatterji and Lior Pachter

Subjects
0106 biological sciences, 0303 health sciences, 03 medical and health sciences, Annotation, ComputingMethodologies_PATTERNRECOGNITION, Pairwise comparison, Computational biology, Biology, Multiple species, 010603 evolutionary biology, 01 natural sciences, Genome, 030304 developmental biology
Abstract

We introduce GeneMapper, a program for transferring annotations from a well annotated genome to other genomes. Drawing on high quality curated annotations, GeneMapper enables rapid and accurate annotation of newly sequenced genomes and is suitable for both finished and draft genomes. GeneMapper uses a profile based approach for mapping genes into multiple species, improving upon the standard pairwise approach. GeneMapper is freely available for academic use.

Published
2006
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