Literature DB >> 19709925

Acinetobacter baylyi ADP1 as a model for metabolic system biology.

Véronique de Berardinis1, Maxime Durot, Jean Weissenbach, Marcel Salanoubat.   

Abstract

Information produced by the annotation of an 'average bacterial genome' can be separated into three parts. One-third represents what we know, another third what we think we know, and the last third what we know we do not know. Knowledge of metabolism is also described by this three thirds rule. Understanding how a cell operates will require a better knowledge of the two ignored thirds of its parts. Moreover, metabolism needs to be further investigated using organisms whose life styles are different from those of model organisms. In this short review, we present Acinetobacter baylyi ADP1 as an environmental model especially suitable for large-scale genetic manipulation. Resources have been constructed in the past few years that can form the basis for diverse metabolic studies: the genome sequence, a single gene mutant collection, and a genome-scale metabolic model.

Entities:  

Mesh:

Year:  2009        PMID: 19709925     DOI: 10.1016/j.mib.2009.07.005

Source DB:  PubMed          Journal:  Curr Opin Microbiol        ISSN: 1369-5274            Impact factor:   7.934


  21 in total

1.  Genomics-driven reconstruction of acinetobacter NAD metabolism: insights for antibacterial target selection.

Authors:  Leonardo Sorci; Ian Blaby; Jessica De Ingeniis; Svetlana Gerdes; Nadia Raffaelli; Valérie de Crécy Lagard; Andrei Osterman
Journal:  J Biol Chem       Date:  2010-10-06       Impact factor: 5.157

2.  Using an environmentally-relevant panel of Gram-negative bacteria to assess the toxicity of polyallylamine hydrochloride-wrapped gold nanoparticles.

Authors:  Joseph T Buchman; Ali Rahnamoun; Kaitlin M Landy; Xi Zhang; Ariane M Vartanian; Lisa M Jacob; Catherine J Murphy; Rigoberto Hernandez; Christy L Haynes
Journal:  Environ Sci Nano       Date:  2017-12-20

3.  Reduced Mutation Rate and Increased Transformability of Transposon-Free Acinetobacter baylyi ADP1-ISx.

Authors:  Gabriel A Suárez; Brian A Renda; Aurko Dasgupta; Jeffrey E Barrick
Journal:  Appl Environ Microbiol       Date:  2017-08-17       Impact factor: 4.792

4.  The Acinetobacter Outer Membrane Contains Multiple Specific Channels for Carbapenem β-Lactams as Revealed by Kinetic Characterization Analyses of Imipenem Permeation into Acinetobacter baylyi Cells.

Authors:  Jorgelina Morán-Barrio; María M Cameranesi; Verónica Relling; Adriana S Limansky; Luciano Brambilla; Alejandro M Viale
Journal:  Antimicrob Agents Chemother       Date:  2017-02-23       Impact factor: 5.191

5.  Diverse responses to UV light exposure in Acinetobacter include the capacity for DNA damage-induced mutagenesis in the opportunistic pathogens Acinetobacter baumannii and Acinetobacter ursingii.

Authors:  Janelle M Hare; James A Bradley; Ching-Li Lin; Tyler J Elam
Journal:  Microbiology       Date:  2011-11-24       Impact factor: 2.777

6.  Elucidation of the trigonelline degradation pathway reveals previously undescribed enzymes and metabolites.

Authors:  Nadia Perchat; Pierre-Loïc Saaidi; Ekaterina Darii; Christine Pellé; Jean-Louis Petit; Marielle Besnard-Gonnet; Véronique de Berardinis; Maeva Dupont; Alexandra Gimbernat; Marcel Salanoubat; Cécile Fischer; Alain Perret
Journal:  Proc Natl Acad Sci U S A       Date:  2018-04-23       Impact factor: 11.205

7.  Expression vectors for Acinetobacter baylyi ADP1.

Authors:  Charles Daniel Murin; Kristy Segal; Anton Bryksin; Ichiro Matsumura
Journal:  Appl Environ Microbiol       Date:  2011-10-21       Impact factor: 4.792

8.  De novo structure determination of 3-((3-aminopropyl)amino)-4-hydroxybenzoic acid, a novel and abundant metabolite in Acinetobacter baylyi ADP1.

Authors:  Marion Thomas; Lucille Stuani; Ekaterina Darii; Christophe Lechaplais; Emilie Pateau; Jean-Claude Tabet; Marcel Salanoubat; Pierre-Loïc Saaidi; Alain Perret
Journal:  Metabolomics       Date:  2019-03-14       Impact factor: 4.290

9.  Genome instability mediates the loss of key traits by Acinetobacter baylyi ADP1 during laboratory evolution.

Authors:  Brian A Renda; Aurko Dasgupta; Dacia Leon; Jeffrey E Barrick
Journal:  J Bacteriol       Date:  2014-12-15       Impact factor: 3.490

10.  Analysis of the Legionella longbeachae genome and transcriptome uncovers unique strategies to cause Legionnaires' disease.

Authors:  Christel Cazalet; Laura Gomez-Valero; Christophe Rusniok; Mariella Lomma; Delphine Dervins-Ravault; Hayley J Newton; Fiona M Sansom; Sophie Jarraud; Nora Zidane; Laurence Ma; Christiane Bouchier; Jerôme Etienne; Elizabeth L Hartland; Carmen Buchrieser
Journal:  PLoS Genet       Date:  2010-02-19       Impact factor: 5.917

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.