Literature DB >> 20639322

Expressed genome of Methylobacillus flagellatus as defined through comprehensive proteomics and new insights into methylotrophy.

Erik L Hendrickson1, David A C Beck, Tiansong Wang, Mary E Lidstrom, Murray Hackett, Ludmila Chistoserdova.   

Abstract

In recent years, techniques have been developed and perfected for high-throughput identification of proteins and their accurate partial sequencing by shotgun nano-liquid chromatography-tandem mass spectrometry (nano-LC-MS/MS), making it feasible to assess global protein expression profiles in organisms with sequenced genomes. We implemented comprehensive proteomics to assess the expressed portion of the genome of Methylobacillus flagellatus during methylotrophic growth. We detected a total of 1,671 proteins (64% of the inferred proteome), including all the predicted essential proteins. Nonrandom patterns observed with the nondetectable proteins appeared to correspond to silent genomic islands, as inferred through functional profiling and genome localization. The protein contents in methylamine- and methanol-grown cells showed a significant overlap, confirming the commonality of methylotrophic metabolism downstream of the primary oxidation reactions. The new insights into methylotrophy include detection of proteins for the N-methylglutamate methylamine oxidation pathway that appears to be auxiliary and detection of two alternative enzymes for both the 6-phosphogluconate dehydrogenase reaction (GndA and GndB) and the formate dehydrogenase reaction (FDH1 and FDH4). Mutant analysis revealed that GndA and FDH4 are crucial for the organism's fitness, while GndB and FDH1 are auxiliary.

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Year:  2010        PMID: 20639322      PMCID: PMC2944507          DOI: 10.1128/JB.00512-10

Source DB:  PubMed          Journal:  J Bacteriol        ISSN: 0021-9193            Impact factor:   3.490


  34 in total

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Authors:  Ian R McDonald; Levente Bodrossy; Yin Chen; J Colin Murrell
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Review 2.  CRISPR--a widespread system that provides acquired resistance against phages in bacteria and archaea.

Authors:  Rotem Sorek; Victor Kunin; Philip Hugenholtz
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3.  Comparative proteogenomics: combining mass spectrometry and comparative genomics to analyze multiple genomes.

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Journal:  Genome Res       Date:  2008-04-21       Impact factor: 9.043

4.  Stoichiometric model for evaluating the metabolic capabilities of the facultative methylotroph Methylobacterium extorquens AM1, with application to reconstruction of C(3) and C(4) metabolism.

Authors:  Stephen J Van Dien; Mary E Lidstrom
Journal:  Biotechnol Bioeng       Date:  2002-05-05       Impact factor: 4.530

5.  Analysis of quantitative proteomic data generated via multidimensional protein identification technology.

Authors:  Michael P Washburn; Ryan Ulaszek; Cosmin Deciu; David M Schieltz; John R Yates
Journal:  Anal Chem       Date:  2002-04-01       Impact factor: 6.986

6.  Distribution of tetrahydromethanopterin-dependent enzymes in methylotrophic bacteria and phylogeny of methenyl tetrahydromethanopterin cyclohydrolases.

Authors:  J A Vorholt; L Chistoserdova; S M Stolyar; R K Thauer; M E Lidstrom
Journal:  J Bacteriol       Date:  1999-09       Impact factor: 3.490

7.  Comprehensive proteomics of Methylobacterium extorquens AM1 metabolism under single carbon and nonmethylotrophic conditions.

Authors:  Gundula Bosch; Elizabeth Skovran; Qiangwei Xia; Tiansong Wang; Fred Taub; Jonathan A Miller; Mary E Lidstrom; Murray Hackett
Journal:  Proteomics       Date:  2008-09       Impact factor: 3.984

8.  Genetic organization of the mau gene cluster in Methylobacterium extorquens AM1: complete nucleotide sequence and generation and characteristics of mau mutants.

Authors:  A Y Chistoserdov; L V Chistoserdova; W S McIntire; M E Lidstrom
Journal:  J Bacteriol       Date:  1994-07       Impact factor: 3.490

9.  Reconstruction of C(3) and C(4) metabolism in Methylobacterium extorquens AM1 using transposon mutagenesis.

Authors:  Stephen J Van Dien; Yoko Okubo; Melinda T Hough; Natalia Korotkova; Tricia Taitano; Mary E Lidstrom
Journal:  Microbiology       Date:  2003-03       Impact factor: 2.777

10.  Genome of Methylobacillus flagellatus, molecular basis for obligate methylotrophy, and polyphyletic origin of methylotrophy.

Authors:  Ludmila Chistoserdova; Alla Lapidus; Cliff Han; Lynne Goodwin; Liz Saunders; Tom Brettin; Roxanne Tapia; Paul Gilna; Susan Lucas; Paul M Richardson; Mary E Lidstrom
Journal:  J Bacteriol       Date:  2007-04-06       Impact factor: 3.490

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  7 in total

1.  Genomes of three methylotrophs from a single niche reveal the genetic and metabolic divergence of the methylophilaceae.

Authors:  Alla Lapidus; Alicia Clum; Kurt Labutti; Marina G Kaluzhnaya; Sujung Lim; David A C Beck; Tijana Glavina Del Rio; Matt Nolan; Konstantinos Mavromatis; Marcel Huntemann; Susan Lucas; Mary E Lidstrom; Natalia Ivanova; Ludmila Chistoserdova
Journal:  J Bacteriol       Date:  2011-05-27       Impact factor: 3.490

2.  Stimulation of methanotrophic growth in cocultures by cobalamin excreted by rhizobia.

Authors:  Hiroyuki Iguchi; Hiroya Yurimoto; Yasuyoshi Sakai
Journal:  Appl Environ Microbiol       Date:  2011-10-07       Impact factor: 4.792

3.  An integrated proteomics/transcriptomics approach points to oxygen as the main electron sink for methanol metabolism in Methylotenera mobilis.

Authors:  David A C Beck; Erik L Hendrickson; Alexey Vorobev; Tiansong Wang; Sujung Lim; Marina G Kalyuzhnaya; Mary E Lidstrom; Murray Hackett; Ludmila Chistoserdova
Journal:  J Bacteriol       Date:  2011-07-15       Impact factor: 3.490

4.  Comparative transcriptomics in three Methylophilaceae species uncover different strategies for environmental adaptation.

Authors:  Alexey Vorobev; David A C Beck; Marina G Kalyuzhnaya; Mary E Lidstrom; Ludmila Chistoserdova
Journal:  PeerJ       Date:  2013-07-25       Impact factor: 2.984

Review 5.  Unravelling Formaldehyde Metabolism in Bacteria: Road towards Synthetic Methylotrophy.

Authors:  Vivien Jessica Klein; Marta Irla; Marina Gil López; Trygve Brautaset; Luciana Fernandes Brito
Journal:  Microorganisms       Date:  2022-01-20

6.  Genome Sequence of Azospirillum brasilense CBG497 and Comparative Analyses of Azospirillum Core and Accessory Genomes provide Insight into Niche Adaptation.

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Journal:  Genes (Basel)       Date:  2012-09-28       Impact factor: 4.096

7.  The expanded diversity of methylophilaceae from Lake Washington through cultivation and genomic sequencing of novel ecotypes.

Authors:  David A C Beck; Tami L McTaggart; Usanisa Setboonsarng; Alexey Vorobev; Marina G Kalyuzhnaya; Natalia Ivanova; Lynne Goodwin; Tanja Woyke; Mary E Lidstrom; Ludmila Chistoserdova
Journal:  PLoS One       Date:  2014-07-24       Impact factor: 3.240

  7 in total

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