Complete genome sequence of Pseudomonas aeruginosa PAO1, an opportunistic pathogen.
Charles K. Stover,X. Q. Pham,A. L. Erwin,S. D. Mizoguchi,Paul Warrener,Mark J. Hickey,Fiona S. L. Brinkman,W. O. Hufnagle,D. J. Kowalik,Lagrou Mj,R. L. Garber,L. Goltry,E. Tolentino,S. Westbrock-Wadman,Ying Yuan,L. L. Brody,S. N. Coulter,K. R. Folger,Arnold Kas,K. Larbig,R. Lim,Kelly D. Smith,David H. Spencer,Gane Ka-Shu Wong,Z. Wu,Ian T. Paulsen,Ian T. Paulsen,Jonathan Reizer,Milton H. Saier,Robert E. W. Hancock,Stephen Lory,Maynard V. Olson +31 more
TLDR
It is proposed that the size and complexity of the P. aeruginosa genome reflect an evolutionary adaptation permitting it to thrive in diverse environments and resist the effects of a variety of antimicrobial substances.Abstract:
Pseudomonas aeruginosa is a ubiquitous environmental bacterium that is one of the top three causes of opportunistic human infections. A major factor in its prominence as a pathogen is its intrinsic resistance to antibiotics and disinfectants. Here we report the complete sequence of P. aeruginosa strain PAO1. At 6.3 million base pairs, this is the largest bacterial genome sequenced, and the sequence provides insights into the basis of the versatility and intrinsic drug resistance of P. aeruginosa. Consistent with its larger genome size and environmental adaptability, P. aeruginosa contains the highest proportion of regulatory genes observed for a bacterial genome and a large number of genes involved in the catabolism, transport and efflux of organic compounds as well as four potential chemotaxis systems. We propose that the size and complexity of the P. aeruginosa genome reflect an evolutionary adaptation permitting it to thrive in diverse environments and resist the effects of a variety of antimicrobial substances.read more
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Complete genome sequence of the model actinomycete Streptomyces coelicolor A3(2)
Stephen D. Bentley,Keith F. Chater,Ana Cerdeño-Tárraga,Gregory L. Challis,Gregory L. Challis,Nicholas R. Thomson,Keith D. James,David Harris,Michael A. Quail,H. M. Kieser,D. Harper,Alex Bateman,Steve D.M. Brown,Govind Chandra,Carton W. Chen,Mark O. Collins,Ann Cronin,Andrew G. Fraser,Arlette Goble,J. Hidalgo,T. Hornsby,S. Howarth,Chih-Hung Huang,Tobias Kieser,L. Larke,Lee Murphy,Karen Oliver,Susan O'Neil,Ester Rabbinowitsch,Marie-Adèle Rajandream,Kim Rutherford,Simon Rutter,Kathy Seeger,David L. Saunders,Sarah Sharp,R. Squares,S. Squares,K. Taylor,T. Warren,Andreas Wietzorrek,John Woodward,Bart Barrell,Julian Parkhill,David A. Hopwood +43 more
TL;DR: The 8,667,507 base pair linear chromosome of Streptomyces coelicolor is reported, containing the largest number of genes so far discovered in a bacterium.
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The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases
Ron Caspi,Richard Billington,Luciana Ferrer,Hartmut Foerster,Carol A. Fulcher,Ingrid M. Keseler,Anamika Kothari,Markus Krummenacker,Mario Latendresse,Lukas A. Mueller,Quang Ong,Suzanne M. Paley,Pallavi Subhraveti,Daniel Weaver,Peter D. Karp +14 more
TL;DR: The BioCyc PGDBs generated by SRI are offered for adoption by any interested party for the ongoing integration of metabolic and genome-related information about an organism.
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PSORTb 3.0
Nancy Yiu-Lin Yu,James R. Wagner,Matthew R. Laird,Gabor Melli,Sébastien Rey,Raymond Lo,Phuong Dao,S. Cenk Sahinalp,Martin Ester,Leonard J. Foster,Fiona S. L. Brinkman +10 more
TL;DR: This work developed PSORTb version 3.0 with improved recall, higher proteome-scale prediction coverage, and new refined localization subcategories, and evaluated the most accurate SCL predictors using 5-fold cross validation plus an independent proteomics analysis.
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Physiological heterogeneity in biofilms.
TL;DR: The processes that generate chemical gradients inBiofilms, the genetic and physiological responses of the bacteria as they adapt to these gradients and the techniques that can be used to visualize and measure the microscale physiological heterogeneities of bacteria in biofilms are discussed.
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Pathophysiology and management of pulmonary infections in cystic fibrosis.
TL;DR: This comprehensive State of the Art review summarizes the current published knowledge base regarding the pathophysiology and microbiology of pulmonary disease in cystic fibrosis and potential future therapies.
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