Literature DB >> 18996155

Overcoming the anaerobic hurdle in phenotypic microarrays: generation and visualization of growth curve data for Desulfovibrio vulgaris Hildenborough.

Sharon Borglin1, Dominique Joyner, Janet Jacobsen, Aindrila Mukhopadhyay, Terry C Hazen.   

Abstract

Growing anaerobic microorganisms in phenotypic microarrays (PM) and 96-well microtiter plates is an emerging technology that allows high throughput survey of the growth and physiology and/or phenotype of cultivable microorganisms. For non-model bacteria, a method for phenotypic analysis is invaluable, not only to serve as a starting point for further evaluation, but also to provide a broad understanding of the physiology of an uncharacterized wild-type organism or the physiology/phenotype of a newly created mutant of that organism. Given recent advances in genetic characterization and targeted mutations to elucidate genetic networks and metabolic pathways, high-throughput methods for determining phenotypic differences are essential. Here we outline challenges presented in studying the physiology and phenotype of a sulfate-reducing anaerobic delta proteobacterium, Desulfovibrio vulgaris Hildenborough. Modifications of the commercially available OmniLog system (Hayward, CA) for experimental setup, and configuration, as well as considerations in PM data analysis are presented. Also highlighted here is data viewing software that enables users to view and compare multiple PM data sets. The PM method promises to be a valuable strategy in our systems biology approach to D. vulgaris studies and is readily applicable to other anaerobic and aerobic bacteria.

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Year:  2008        PMID: 18996155     DOI: 10.1016/j.mimet.2008.10.003

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  11 in total

1.  Statistical methods for comparative phenomics using high-throughput phenotype microarrays.

Authors:  Joseph Sturino; Ivan Zorych; Bani Mallick; Karina Pokusaeva; Ying-Ying Chang; Raymond J Carroll; Nikolay Bliznuyk
Journal:  Int J Biostat       Date:  2010-08-24       Impact factor: 0.968

2.  Draft genome sequence of Pelosinus fermentans JBW45, isolated during in situ stimulation for Cr(VI) reduction.

Authors:  Kara Bowen De León; Mary Lynn Young; Laura B Camilleri; Steven D Brown; Jeffrey M Skerker; Adam M Deutschbauer; Adam P Arkin; Matthew W Fields
Journal:  J Bacteriol       Date:  2012-10       Impact factor: 3.490

3.  Development of Multiwell-Plate Methods Using Pure Cultures of Methanogens To Identify New Inhibitors for Suppressing Ruminant Methane Emissions.

Authors:  M R Weimar; J Cheung; D Dey; C McSweeney; M Morrison; Y Kobayashi; W B Whitman; V Carbone; L R Schofield; R S Ronimus; G M Cook
Journal:  Appl Environ Microbiol       Date:  2017-07-17       Impact factor: 4.792

4.  Global transcriptome response to ionic liquid by a tropical rain forest soil bacterium, Enterobacter lignolyticus.

Authors:  Jane I Khudyakov; Patrik D'haeseleer; Sharon E Borglin; Kristen M Deangelis; Hannah Woo; Erika A Lindquist; Terry C Hazen; Blake A Simmons; Michael P Thelen
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-14       Impact factor: 11.205

5.  The evolution of metabolic networks of E. coli.

Authors:  David J Baumler; Roman G Peplinski; Jennifer L Reed; Jeremy D Glasner; Nicole T Perna
Journal:  BMC Syst Biol       Date:  2011-11-01

6.  Complete genome sequence of the lignin-degrading bacterium Klebsiella sp. strain BRL6-2.

Authors:  Hannah L Woo; Nicholas R Ballor; Terry C Hazen; Julian L Fortney; Blake Simmons; Karen Walston Davenport; Lynne Goodwin; Natalia Ivanova; Nikos C Kyrpides; Konstantinos Mavromatis; Tanja Woyke; Janet Jansson; Jeff Kimbrel; Kristen M DeAngelis
Journal:  Stand Genomic Sci       Date:  2014-12-08

7.  Unintended Laboratory-Driven Evolution Reveals Genetic Requirements for Biofilm Formation by Desulfovibrio vulgaris Hildenborough.

Authors:  Kara B De León; Grant M Zane; Valentine V Trotter; Gregory P Krantz; Adam P Arkin; Gareth P Butland; Peter J Walian; Matthew W Fields; Judy D Wall
Journal:  MBio       Date:  2017-10-17       Impact factor: 7.867

8.  Bacteroides isolated from four mammalian hosts lack host-specific 16S rRNA gene phylogeny and carbon and nitrogen utilization patterns.

Authors:  Todd Atherly; Cherie J Ziemer
Journal:  Microbiologyopen       Date:  2014-02-17       Impact factor: 3.139

9.  Global insights into energetic and metabolic networks in Rhodobacter sphaeroides.

Authors:  Saheed Imam; Daniel R Noguera; Timothy J Donohue
Journal:  BMC Syst Biol       Date:  2013-09-13

10.  Autonomous metabolomics for rapid metabolite identification in global profiling.

Authors:  H Paul Benton; Julijana Ivanisevic; Nathaniel G Mahieu; Michael E Kurczy; Caroline H Johnson; Lauren Franco; Duane Rinehart; Elizabeth Valentine; Harsha Gowda; Baljit K Ubhi; Ralf Tautenhahn; Andrew Gieschen; Matthew W Fields; Gary J Patti; Gary Siuzdak
Journal:  Anal Chem       Date:  2014-12-26       Impact factor: 6.986

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