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M. Rizzo

Bio: M. Rizzo is an academic researcher from J. Craig Venter Institute. The author has contributed to research in topics: Genome & Pseudomonas putida. The author has an hindex of 3, co-authored 3 publications receiving 1415 citations.

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Journal ArticleDOI
TL;DR: Pseudomonas putida is a metabolically versatile saprophytic soil bacterium that has been certified as a biosafety host for the cloning of foreign genes.
Abstract: Pseudomonas putida is a metabolically versatile saprophytic soil bacterium that has been certified as a biosafety host for the cloning of foreign genes. The bacterium also has considerable potential for biotechnological applications. Sequence analysis of the 6.18 Mb genome of strain KT2440 reveals diverse transport and metabolic systems. Although there is a high level of genome conservation with the pathogenic Pseudomonad Pseudomonas aeruginosa (85% of the predicted coding regions are shared), key virulence factors including exotoxin A and type III secretion systems are absent. Analysis of the genome gives insight into the non-pathogenic nature of P. putida and points to potential new applications in agriculture, biocatalysis, bioremediation and bioplastic production.

1,308 citations

Journal ArticleDOI
Marcel Salanoubat, Kai Lemcke1, Michael A. Rieger, W. Ansorge, M Unseld, Berthold Fartmann, Giorgio Valle2, H. Blöcker, Manuel Pérez-Alonso3, B. Obermaier, Michel Delseny4, Marc Boutry5, Leslie A. Grivell6, R Mache7, Pere Puigdomènech8, De Simone9, Nathalie Choisne, François Artiguenave, C Robert, P Brottier, Patrick Wincker, Laurence Cattolico, Jean Weissenbach, W Saurin, Francis Quetier, M. Schäfer, S Müller-Auer, C. Gabel, M. Fuchs, Benes, E Wurmbach, H Drzonek, Holger Erfle, N Jordan, S Bangert, R Wiedelmann, H Kranz, H. Voss, Richard Holland, Petra Brandt, Gerald Nyakatura, Alessandro Vezzi2, Michela D'Angelo2, Alberto Pallavicini2, Stefano Toppo2, Barbara Simionati2, A Conrad, K Hornischer, G Kauer, T. H. Löhnert, G Nordsiek, J Reichelt, M. Scharfe, O Schön, M. D. Bargues3, Javier Terol3, Joan Climent3, P Navarro, C Collado, A Perez-Perez, B Ottenwälder, D Duchemin, R. Cooke4, M Laudie4, C Berger-Llauro4, Bénédicte Purnelle5, David Masuy5, M. de Haan6, A.C. Maarse6, J P Alcaraz7, A Cottet7, Elena Casacuberta8, Amparo Monfort8, Anagnostis Argiriou9, M flores9, Rosario Liguori9, D. Vitale9, Gertrud Mannhaupt1, D. Haase1, Heiko Schoof1, Stephen Rudd1, Paolo Zaccaria1, Hans-Werner Mewes1, Klaus F. X. Mayer1, Samir Kaul10, Christopher D. Town10, Hean L. Koo10, Luke J. Tallon10, J Jenkins10, T Rooney10, M. Rizzo10, A Walts10, T. Utterback10, Claire Fujii10, Terrance Shea10, Todd Creasy10, Brian J. Haas10, Rama Maiti10, Dongying Wu10, Jeremy Peterson10, S. van Aken10, Grace Pai10, J Militscher10, P Sellers10, John Gill10, Tamara Feldblyum10, Daphne Preuss11, Xiaoying Lin10, William C. Nierman10, Steven L. Salzberg10, Owen White10, J C Venter12, Claire M. Fraser10, T Kaneko, Yasukazu Nakamura, Shusei Sato, T Kato, Erika Asamizu, Shigemi Sasamoto, T Kimura, Kumi Idesawa, Kumiko Kawashima, Yoshie Kishida, Chiaki Kiyokawa, Mitsuyo Kohara, M Matsumoto, Ai Matsuno, Akiko Muraki, S Nakayama, Naomi Nakazaki, Sayaka Shinpo, C Takeuchi, T Wada, A Watanabe, M Yamada, Miho Yasuda, Satoshi Tabata 
14 Dec 2000-Nature
TL;DR: In this paper, the authors present the sequence of chromosome 3, organized into four sequence segments (contigs), and the two largest (13.5 and 9.2 Mb) correspond to the top (long) and bottom (short) arms of the chromosome 3 and two small contigs are located in the genetically defined centromere.
Abstract: Arabidopsis thaliana is an important model system for plant biologists. In 1996 an international collaboration (the Arabidopsis Genome Initiative) was formed to sequence the whole genome of Arabidopsis and in 1999 the sequence of the first two chromosomes was reported. The sequence of the last three chromosomes and an analysis of the whole genome are reported in this issue. Here we present the sequence of chromosome 3, organized into four sequence segments (contigs). The two largest (13.5 and 9.2 Mb) correspond to the top (long) and the bottom (short) arms of chromosome 3, and the two small contigs are located in the genetically defined centromere. This chromosome encodes 5,220 of the roughly 25,500 predicted protein-coding genes in the genome. About 20% of the predicted proteins have significant homology to proteins in eukaryotic genomes for which the complete sequence is available, pointing to important conserved cellular functions among eukaryotes.

174 citations


Cited by
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14 Dec 2000-Nature
TL;DR: This is the first complete genome sequence of a plant and provides the foundations for more comprehensive comparison of conserved processes in all eukaryotes, identifying a wide range of plant-specific gene functions and establishing rapid systematic ways to identify genes for crop improvement.
Abstract: The flowering plant Arabidopsis thaliana is an important model system for identifying genes and determining their functions. Here we report the analysis of the genomic sequence of Arabidopsis. The sequenced regions cover 115.4 megabases of the 125-megabase genome and extend into centromeric regions. The evolution of Arabidopsis involved a whole-genome duplication, followed by subsequent gene loss and extensive local gene duplications, giving rise to a dynamic genome enriched by lateral gene transfer from a cyanobacterial-like ancestor of the plastid. The genome contains 25,498 genes encoding proteins from 11,000 families, similar to the functional diversity of Drosophila and Caenorhabditis elegans--the other sequenced multicellular eukaryotes. Arabidopsis has many families of new proteins but also lacks several common protein families, indicating that the sets of common proteins have undergone differential expansion and contraction in the three multicellular eukaryotes. This is the first complete genome sequence of a plant and provides the foundations for more comprehensive comparison of conserved processes in all eukaryotes, identifying a wide range of plant-specific gene functions and establishing rapid systematic ways to identify genes for crop improvement.

8,742 citations

Journal ArticleDOI
TL;DR: PHAge Search Tool (PHAST) is a web server designed to rapidly and accurately identify, annotate and graphically display prophage sequences within bacterial genomes or plasmids.
Abstract: PHAge Search Tool (PHAST) is a web server designed to rapidly and accurately identify, annotate and graphically display prophage sequences within bacterial genomes or plasmids. It accepts either raw DNA sequence data or partially annotated GenBank formatted data and rapidly performs a number of database comparisons as well as phage ‘cornerstone’ feature identification steps to locate, annotate and display prophage sequences and prophage features. Relative to other prophage identification tools, PHAST is up to 40 times faster and up to 15% more sensitive. It is also able to process and annotate both raw DNA sequence data and Genbank files, provide richly annotated tables on prophage features and prophage ‘quality’ and distinguish between intact and incomplete prophage. PHAST also generates downloadable, high quality, interactive graphics that display all identified prophage components in both circular and linear genomic views. PHAST is available at (http://phast.wishartlab.com).

1,767 citations

Journal ArticleDOI
TL;DR: This review provides a summary and perspective of the extensive research that has been devoted to each of these three interconnected biorefinery aspects, ranging from industrially well-established techniques to the latest cutting edge innovations.
Abstract: In pursuit of more sustainable and competitive biorefineries, the effective valorisation of lignin is key. An alluring opportunity is the exploitation of lignin as a resource for chemicals. Three technological biorefinery aspects will determine the realisation of a successful lignin-to-chemicals valorisation chain, namely (i) lignocellulose fractionation, (ii) lignin depolymerisation, and (iii) upgrading towards targeted chemicals. This review provides a summary and perspective of the extensive research that has been devoted to each of these three interconnected biorefinery aspects, ranging from industrially well-established techniques to the latest cutting edge innovations. To navigate the reader through the overwhelming collection of literature on each topic, distinct strategies/topics were delineated and summarised in comprehensive overview figures. Upon closer inspection, conceptual principles arise that rationalise the success of certain methodologies, and more importantly, can guide future research to further expand the portfolio of promising technologies. When targeting chemicals, a key objective during the fractionation and depolymerisation stage is to minimise lignin condensation (i.e. formation of resistive carbon–carbon linkages). During fractionation, this can be achieved by either (i) preserving the (native) lignin structure or (ii) by tolerating depolymerisation of the lignin polymer but preventing condensation through chemical quenching or physical removal of reactive intermediates. The latter strategy is also commonly applied in the lignin depolymerisation stage, while an alternative approach is to augment the relative rate of depolymerisation vs. condensation by enhancing the reactivity of the lignin structure towards depolymerisation. Finally, because depolymerised lignins often consist of a complex mixture of various compounds, upgrading of the raw product mixture through convergent transformations embodies a promising approach to decrease the complexity. This particular upgrading approach is termed funneling, and includes both chemocatalytic and biological strategies.

1,466 citations

Journal ArticleDOI
TL;DR: The Functional Catalogue (FunCat), a hierarchically structured, organism-independent, flexible and scalable controlled classification system enabling the functional description of proteins from any organism, is presented.
Abstract: In this paper, we present the Functional Catalogue (FunCat), a hierarchically structured, organism-independent, flexible and scalable controlled classification system enabling the functional description of proteins from any organism. FunCat has been applied for the manual annotation of prokaryotes, fungi, plants and animals. We describe how FunCat is implemented as a highly efficient and robust tool for the manual and automatic annotation of genomic sequences. Owing to its hierarchical architecture, FunCat has also proved to be useful for many subsequent downstream bioinformatic applications. This is illustrated by the analysis of large-scale experiments from various investigations in transcriptomics and proteomics, where FunCat was used to project experimental data into functional units, as 'gold standard' for functional classification methods, and also served to compare the significance of different experimental methods. Over the last decade, the FunCat has been established as a robust and stable annotation scheme that offers both, meaningful and manageable functional classification as well as ease of perception.

1,154 citations

Journal ArticleDOI
TL;DR: That the globe is not swamped with oil is testament to the efficiency and versatility of the networks of microorganisms that degrade hydrocarbons, some of which have recently begun to reveal the secrets of when and how they exploit Hydrocarbons as a source of carbon and energy.
Abstract: Hundreds of millions of litres of petroleum enter the environment from both natural and anthropogenic sources every year. The input from natural marine oil seeps alone would be enough to cover all of the world's oceans in a layer of oil 20 molecules thick. That the globe is not swamped with oil is testament to the efficiency and versatility of the networks of microorganisms that degrade hydrocarbons, some of which have recently begun to reveal the secrets of when and how they exploit hydrocarbons as a source of carbon and energy.

993 citations