Amrita Pati
Joint Genome Institute
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Publication
Featured researches published by Amrita Pati.
Nature | 2009
Dongying Wu; Philip Hugenholtz; Konstantinos Mavromatis; Rüdiger Pukall; Eileen Dalin; Natalia Ivanova; Victor Kunin; Lynne Goodwin; Martin Wu; Brian J. Tindall; Sean D. Hooper; Amrita Pati; Athanasios Lykidis; Stefan Spring; Iain Anderson; Patrik D’haeseleer; Adam Zemla; Alla Lapidus; Matt Nolan; Alex Copeland; Cliff Han; Feng Chen; Jan-Fang Cheng; Susan Lucas; Cheryl A. Kerfeld; Elke Lang; Sabine Gronow; Patrick Chain; David Bruce; Edward M. Rubin
Sequencing of bacterial and archaeal genomes has revolutionized our understanding of the many roles played by microorganisms. There are now nearly 1,000 completed bacterial and archaeal genomes available, most of which were chosen for sequencing on the basis of their physiology. As a result, the perspective provided by the currently available genomes is limited by a highly biased phylogenetic distribution. To explore the value added by choosing microbial genomes for sequencing on the basis of their evolutionary relationships, we have sequenced and analysed the genomes of 56 culturable species of Bacteria and Archaea selected to maximize phylogenetic coverage. Analysis of these genomes demonstrated pronounced benefits (compared to an equivalent set of genomes randomly selected from the existing database) in diverse areas including the reconstruction of phylogenetic history, the discovery of new protein families and biological properties, and the prediction of functions for known genes from other organisms. Our results strongly support the need for systematic ‘phylogenomic’ efforts to compile a phylogeny-driven ‘Genomic Encyclopedia of Bacteria and Archaea’ in order to derive maximum knowledge from existing microbial genome data as well as from genome sequences to come.
Science | 2010
Karen E. Nelson; George M. Weinstock; Sarah K. Highlander; Kim C. Worley; Heather Huot Creasy; Jennifer R. Wortman; Douglas B. Rusch; Makedonka Mitreva; Erica Sodergren; Asif T. Chinwalla; Michael Feldgarden; Dirk Gevers; Brian J. Haas; Ramana Madupu; Doyle V. Ward; Bruce Birren; Richard A. Gibbs; Barbara A. Methé; Joseph F. Petrosino; Robert L. Strausberg; Granger Sutton; Owen White; Richard Wilson; Scott Durkin; Michelle G. Giglio; Sharvari Gujja; Clint Howarth; Chinnappa D. Kodira; Nikos C. Kyrpides; Teena Mehta
News from the Inner Tube of Life A major initiative by the U.S. National Institutes of Health to sequence 900 genomes of microorganisms that live on the surfaces and orifices of the human body has established standardized protocols and methods for such large-scale reference sequencing. By combining previously accumulated data with new data, Nelson et al. (p. 994) present an initial analysis of 178 bacterial genomes. The sampling so far barely scratches the surface of the microbial diversity found on humans, but the work provides an important baseline for future analyses. Standardized protocols and methods are being established for large-scale sequencing of the microorganisms living on humans. The human microbiome refers to the community of microorganisms, including prokaryotes, viruses, and microbial eukaryotes, that populate the human body. The National Institutes of Health launched an initiative that focuses on describing the diversity of microbial species that are associated with health and disease. The first phase of this initiative includes the sequencing of hundreds of microbial reference genomes, coupled to metagenomic sequencing from multiple body sites. Here we present results from an initial reference genome sequencing of 178 microbial genomes. From 547,968 predicted polypeptides that correspond to the gene complement of these strains, previously unidentified (“novel”) polypeptides that had both unmasked sequence length greater than 100 amino acids and no BLASTP match to any nonreference entry in the nonredundant subset were defined. This analysis resulted in a set of 30,867 polypeptides, of which 29,987 (~97%) were unique. In addition, this set of microbial genomes allows for ~40% of random sequences from the microbiome of the gastrointestinal tract to be associated with organisms based on the match criteria used. Insights into pan-genome analysis suggest that we are still far from saturating microbial species genetic data sets. In addition, the associated metrics and standards used by our group for quality assurance are presented.
Nucleic Acids Research | 2014
Victor Markowitz; I-Min A. Chen; Krishna Palaniappan; Ken Chu; Ernest Szeto; Manoj Pillay; Anna Ratner; Jinghua Huang; Tanja Woyke; Marcel Huntemann; Iain Anderson; Konstantinos Billis; Neha Varghese; Konstantinos Mavromatis; Amrita Pati; Natalia Ivanova; Nikos C. Kyrpides
The Integrated Microbial Genomes (IMG) data warehouse integrates genomes from all three domains of life, as well as plasmids, viruses and genome fragments. IMG provides tools for analyzing and reviewing the structural and functional annotations of genomes in a comparative context. IMG’s data content and analytical capabilities have increased continuously since its first version released in 2005. Since the last report published in the 2012 NAR Database Issue, IMG’s annotation and data integration pipelines have evolved while new tools have been added for recording and analyzing single cell genomes, RNA Seq and biosynthetic cluster data. Different IMG datamarts provide support for the analysis of publicly available genomes (IMG/W: http://img.jgi.doe.gov/w), expert review of genome annotations (IMG/ER: http://img.jgi.doe.gov/er) and teaching and training in the area of microbial genome analysis (IMG/EDU: http://img.jgi.doe.gov/edu).
Cell | 2014
Peter Cimermancic; Marnix H. Medema; Jan Claesen; Kenji L. Kurita; Laura C. Wieland Brown; Konstantinos Mavrommatis; Amrita Pati; Paul A. Godfrey; Michael Koehrsen; Jon Clardy; Bruce W. Birren; Eriko Takano; Andrej Sali; Roger G. Linington; Michael A. Fischbach
Although biosynthetic gene clusters (BGCs) have been discovered for hundreds of bacterial metabolites, our knowledge of their diversity remains limited. Here, we used a novel algorithm to systematically identify BGCs in the extensive extant microbial sequencing data. Network analysis of the predicted BGCs revealed large gene cluster families, the vast majority uncharacterized. We experimentally characterized the most prominent family, consisting of two subfamilies of hundreds of BGCs distributed throughout the Proteobacteria; their products are aryl polyenes, lipids with an aryl head group conjugated to a polyene tail. We identified a distant relationship to a third subfamily of aryl polyene BGCs, and together the three subfamilies represent the largest known family of biosynthetic gene clusters, with more than 1,000 members. Although these clusters are widely divergent in sequence, their small molecule products are remarkably conserved, indicating for the first time the important roles these compounds play in Gram-negative cell biology.
Nucleic Acids Research | 2012
Victor Markowitz; I-Min A. Chen; Ken Chu; Ernest Szeto; Krishna Palaniappan; Yuri Grechkin; Anna Ratner; Biju Jacob; Amrita Pati; Marcel Huntemann; Konstantinos Liolios; Ioanna Pagani; Iain Anderson; Konstantinos Mavromatis; Natalia Ivanova; Nikos C. Kyrpides
The integrated microbial genomes and metagenomes (IMG/M) system provides support for comparative analysis of microbial community aggregate genomes (metagenomes) in a comprehensive integrated context. IMG/M integrates metagenome data sets with isolate microbial genomes from the IMG system. IMG/Ms data content and analytical capabilities have been extended through regular updates since its first release in 2007. IMG/M is available at http://img.jgi.doe.gov/m. A companion IMG/M systems provide support for annotation and expert review of unpublished metagenomic data sets (IMG/M ER: http://img.jgi.doe.gov/mer).
Nucleic Acids Research | 2015
Neha Varghese; Supratim Mukherjee; Natalia Ivanova; Konstantinos T. Konstantinidis; Kostas Mavrommatis; Nikos C. Kyrpides; Amrita Pati
Increased sequencing of microbial genomes has revealed that prevailing prokaryotic species assignments can be inconsistent with whole genome information for a significant number of species. The long-standing need for a systematic and scalable species assignment technique can be met by the genome-wide Average Nucleotide Identity (gANI) metric, which is widely acknowledged as a robust measure of genomic relatedness. In this work, we demonstrate that the combination of gANI and the alignment fraction (AF) between two genomes accurately reflects their genomic relatedness. We introduce an efficient implementation of AF,gANI and discuss its successful application to 86.5M genome pairs between 13,151 prokaryotic genomes assigned to 3032 species. Subsequently, by comparing the genome clusters obtained from complete linkage clustering of these pairs to existing taxonomy, we observed that nearly 18% of all prokaryotic species suffer from anomalies in species definition. Our results can be used to explore central questions such as whether microorganisms form a continuum of genetic diversity or distinct species represented by distinct genetic signatures. We propose that this precise and objective AF,gANI-based species definition: the MiSI (Microbial Species Identifier) method, be used to address previous inconsistencies in species classification and as the primary guide for new taxonomic species assignment, supplemented by the traditional polyphasic approach, as required.
Nucleic Acids Research | 2014
Victor Markowitz; I-Min A. Chen; Ken Chu; Ernest Szeto; Krishna Palaniappan; Manoj Pillay; Anna Ratner; Jinghua Huang; Ioanna Pagani; Susannah G. Tringe; Marcel Huntemann; Konstantinos Billis; Neha Varghese; Kristin Tennessen; Konstantinos Mavromatis; Amrita Pati; Natalia Ivanova; Nikos C. Kyrpides
IMG/M (http://img.jgi.doe.gov/m) provides support for comparative analysis of microbial community aggregate genomes (metagenomes) in the context of a comprehensive set of reference genomes from all three domains of life, as well as plasmids, viruses and genome fragments. IMG/M’s data content and analytical tools have expanded continuously since its first version was released in 2007. Since the last report published in the 2012 NAR Database Issue, IMG/M’s database architecture, annotation and data integration pipelines and analysis tools have been extended to copewith the rapid growth in the number and size of metagenome data sets handled by the system. IMG/M data marts provide support for the analysis of publicly available genomes, expert review of metagenome annotations (IMG/M ER: http://img.jgi.doe.gov/mer) and Human Microbiome Project (HMP)-specific metagenome samples (IMG/M HMP: http://img.jgi.doe.gov/imgm_hmp).
The ISME Journal | 2010
Irene Wagner-Döbler; Britta Ballhausen; Martine Berger; Thorsten Brinkhoff; Ina Buchholz; Boyke Bunk; Heribert Cypionka; Rolf Daniel; Thomas Drepper; Gunnar Gerdts; Sarah Hahnke; Cliff Han; Dieter Jahn; Daniela Kalhoefer; Hajnalka Kiss; Hans-Peter Klenk; Nikos C. Kyrpides; Wolfgang Liebl; Heiko Liesegang; Linda Meincke; Amrita Pati; Jörn Petersen; Tanja Piekarski; Claudia Pommerenke; Silke Pradella; Rüdiger Pukall; Ralf Rabus; Erko Stackebrandt; Sebastian Thole; Linda S. Thompson
Dinoroseobacter shibae DFL12T, a member of the globally important marine Roseobacter clade, comprises symbionts of cosmopolitan marine microalgae, including toxic dinoflagellates. Its annotated 4 417 868 bp genome sequence revealed a possible advantage of this symbiosis for the algal host. D. shibae DFL12T is able to synthesize the vitamins B1 and B12 for which its host is auxotrophic. Two pathways for the de novo synthesis of vitamin B12 are present, one requiring oxygen and the other an oxygen-independent pathway. The de novo synthesis of vitamin B12 was confirmed to be functional, and D. shibae DFL12T was shown to provide the growth-limiting vitamins B1 and B12 to its dinoflagellate host. The Roseobacter clade has been considered to comprise obligate aerobic bacteria. However, D. shibae DFL12T is able to grow anaerobically using the alternative electron acceptors nitrate and dimethylsulfoxide; it has the arginine deiminase survival fermentation pathway and a complex oxygen-dependent Fnr (fumarate and nitrate reduction) regulon. Many of these traits are shared with other members of the Roseobacter clade. D. shibae DFL12T has five plasmids, showing examples for vertical recruitment of chromosomal genes (thiC) and horizontal gene transfer (cox genes, gene cluster of 47 kb) possibly by conjugation (vir gene cluster). The long-range (80%) synteny between two sister plasmids provides insights into the emergence of novel plasmids. D. shibae DFL12T shows the most complex viral defense system of all Rhodobacterales sequenced to date.
Standards in Genomic Sciences | 2015
Marcel Huntemann; Natalia Ivanova; Konstantinos Mavromatis; H. James Tripp; David Paez-Espino; Krishnaveni Palaniappan; Ernest Szeto; Manoj Pillay; I-Min A. Chen; Amrita Pati; Torben Nielsen; Victor Markowitz; Nikos C. Kyrpides
The DOE-JGI Microbial Genome Annotation Pipeline performs structural and functional annotation of microbial genomes that are further included into the Integrated Microbial Genome comparative analysis system. MGAP is applied to assembled nucleotide sequence datasets that are provided via the IMG submission site. Dataset submission for annotation first requires project and associated metadata description in GOLD. The MGAP sequence data processing consists of feature prediction including identification of protein-coding genes, non-coding RNAs and regulatory RNA features, as well as CRISPR elements. Structural annotation is followed by assignment of protein product names and functions.
Standards in Genomic Sciences | 2009
David Sims; Thomas Brettin; John C. Detter; Cliff Han; Alla Lapidus; Alex Copeland; Tijana Glavina del Rio; Matt Nolan; Feng Chen; Susan Lucas; Hope Tice; Jan-Fang Cheng; David Bruce; Lynne Goodwin; Sam Pitluck; Galina Ovchinnikova; Amrita Pati; Natalia Ivanova; Konstantinos Mavromatis; Amy Chen; Krishna Palaniappan; Patrik D’haeseleer; Patrick Chain; Jim Bristow; Jonathan A. Eisen; Victor Markowitz; Philip Hugenholtz; Susanne Schneider; Markus Göker; Rüdiger Pukall
Kytococcus sedentarius (ZoBell and Upham 1944) Stackebrandt et al. 1995 is the type strain of the species, and is of phylogenetic interest because of its location in the Dermacoccaceae, a poorly studied family within the actinobacterial suborder Micrococcineae. K. sedentarius is known for the production of oligoketide antibiotics as well as for its role as an opportunistic pathogen causing valve endocarditis, hemorrhagic pneumonia, and pitted keratolysis. It is strictly aerobic and can only grow when several amino acids are provided in the medium. The strain described in this report is a free-living, nonmotile, Gram-positive bacterium, originally isolated from a marine environment. Here we describe the features of this organism, together with the complete genome sequence, and annotation. This is the first complete genome sequence of a member of the family Dermacoccaceae and the 2,785,024 bp long single replicon genome with its 2639 protein-coding and 64 RNA genes is part of the GenomicEncyclopedia ofBacteria andArchaea project.