Literature DB >> 27457762

Systems-level Proteomics of Two Ubiquitous Leaf Commensals Reveals Complementary Adaptive Traits for Phyllosphere Colonization.

Daniel B Müller1, Olga T Schubert2, Hannes Röst2, Ruedi Aebersold3, Julia A Vorholt4.   

Abstract

Plants are colonized by a diverse community of microorganisms, the plant microbiota, exhibiting a defined and conserved taxonomic structure. Niche separation based on spatial segregation and complementary adaptation strategies likely forms the basis for coexistence of the various microorganisms in the plant environment. To gain insights into organism-specific adaptations on a molecular level, we selected two exemplary community members of the core leaf microbiota and profiled their proteomes upon Arabidopsis phyllosphere colonization. The highly quantitative mass spectrometric technique SWATH MS was used and allowed for the analysis of over two thousand proteins spanning more than three orders of magnitude in abundance for each of the model strains. The data suggest that Sphingomonas melonis utilizes amino acids and hydrocarbon compounds during colonization of leaves whereas Methylobacterium extorquens relies on methanol metabolism in addition to oxalate metabolism, aerobic anoxygenic photosynthesis and alkanesulfonate utilization. Comparative genomic analyses indicates that utilization of oxalate and alkanesulfonates is widespread among leaf microbiota members whereas, aerobic anoxygenic photosynthesis is almost exclusively found in Methylobacteria. Despite the apparent niche separation between these two strains we also found a relatively small subset of proteins to be coregulated, indicating common mechanisms, underlying successful leaf colonization. Overall, our results reveal for two ubiquitous phyllosphere commensals species-specific adaptations to the host environment and provide evidence for niche separation within the plant microbiota.
© 2016 by The American Society for Biochemistry and Molecular Biology, Inc.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27457762      PMCID: PMC5054348          DOI: 10.1074/mcp.M116.058164

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  63 in total

1.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

2.  Metaproteogenomic analysis of microbial communities in the phyllosphere and rhizosphere of rice.

Authors:  Claudia Knief; Nathanaël Delmotte; Samuel Chaffron; Manuel Stark; Gerd Innerebner; Reiner Wassmann; Christian von Mering; Julia A Vorholt
Journal:  ISME J       Date:  2011-12-22       Impact factor: 10.302

3.  Development and validation of a spectral library searching method for peptide identification from MS/MS.

Authors:  Henry Lam; Eric W Deutsch; James S Eddes; Jimmy K Eng; Nichole King; Stephen E Stein; Ruedi Aebersold
Journal:  Proteomics       Date:  2007-03       Impact factor: 3.984

4.  OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data.

Authors:  Hannes L Röst; George Rosenberger; Pedro Navarro; Ludovic Gillet; Saša M Miladinović; Olga T Schubert; Witold Wolski; Ben C Collins; Johan Malmström; Lars Malmström; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2014-03       Impact factor: 54.908

5.  Protection of Arabidopsis thaliana against leaf-pathogenic Pseudomonas syringae by Sphingomonas strains in a controlled model system.

Authors:  Gerd Innerebner; Claudia Knief; Julia A Vorholt
Journal:  Appl Environ Microbiol       Date:  2011-03-18       Impact factor: 4.792

6.  A proteomic study of Methylobacterium extorquens reveals a response regulator essential for epiphytic growth.

Authors:  Benjamin Gourion; Michel Rossignol; Julia A Vorholt
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-21       Impact factor: 11.205

7.  Transcriptional responses of Pseudomonas syringae to growth in epiphytic versus apoplastic leaf sites.

Authors:  Xilan Yu; Steven P Lund; Russell A Scott; Jessica W Greenwald; Angela H Records; Dan Nettleton; Steven E Lindow; Dennis C Gross; Gwyn A Beattie
Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-14       Impact factor: 11.205

8.  A cross-platform toolkit for mass spectrometry and proteomics.

Authors:  Matthew C Chambers; Brendan Maclean; Robert Burke; Dario Amodei; Daniel L Ruderman; Steffen Neumann; Laurent Gatto; Bernd Fischer; Brian Pratt; Jarrett Egertson; Katherine Hoff; Darren Kessner; Natalie Tasman; Nicholas Shulman; Barbara Frewen; Tahmina A Baker; Mi-Youn Brusniak; Christopher Paulse; David Creasy; Lisa Flashner; Kian Kani; Chris Moulding; Sean L Seymour; Lydia M Nuwaysir; Brent Lefebvre; Frank Kuhlmann; Joe Roark; Paape Rainer; Suckau Detlev; Tina Hemenway; Andreas Huhmer; James Langridge; Brian Connolly; Trey Chadick; Krisztina Holly; Josh Eckels; Eric W Deutsch; Robert L Moritz; Jonathan E Katz; David B Agus; Michael MacCoss; David L Tabb; Parag Mallick
Journal:  Nat Biotechnol       Date:  2012-10       Impact factor: 54.908

9.  aLFQ: an R-package for estimating absolute protein quantities from label-free LC-MS/MS proteomics data.

Authors:  George Rosenberger; Christina Ludwig; Hannes L Röst; Ruedi Aebersold; Lars Malmström
Journal:  Bioinformatics       Date:  2014-04-20       Impact factor: 6.937

10.  Defining the core Arabidopsis thaliana root microbiome.

Authors:  Derek S Lundberg; Sarah L Lebeis; Sur Herrera Paredes; Scott Yourstone; Jase Gehring; Stephanie Malfatti; Julien Tremblay; Anna Engelbrektson; Victor Kunin; Tijana Glavina Del Rio; Robert C Edgar; Thilo Eickhorst; Ruth E Ley; Philip Hugenholtz; Susannah Green Tringe; Jeffery L Dangl
Journal:  Nature       Date:  2012-08-02       Impact factor: 49.962

View more
  14 in total

1.  Multidimensional gene regulatory landscape of a bacterial pathogen in plants.

Authors:  Tatsuya Nobori; Yiming Wang; Jingni Wu; Sara Christina Stolze; Yayoi Tsuda; Iris Finkemeier; Hirofumi Nakagami; Kenichi Tsuda
Journal:  Nat Plants       Date:  2020-06-15       Impact factor: 15.793

2.  Dynamic character displacement among a pair of bacterial phyllosphere commensals in situ.

Authors:  Lucas Hemmerle; Benjamin A Maier; Miriam Bortfeld-Miller; Birgitta Ryback; Christoph G Gäbelein; Martin Ackermann; Julia A Vorholt
Journal:  Nat Commun       Date:  2022-05-20       Impact factor: 17.694

3.  Bipartite interactions, antibiotic production and biosynthetic potential of the Arabidopsis leaf microbiome.

Authors:  Eric J N Helfrich; Christine M Vogel; Reiko Ueoka; Martin Schäfer; Florian Ryffel; Daniel B Müller; Silke Probst; Markus Kreuzer; Jörn Piel; Julia A Vorholt
Journal:  Nat Microbiol       Date:  2018-07-23       Impact factor: 17.745

4.  Adaptive matching between phyllosphere bacteria and their tree hosts in a neotropical forest.

Authors:  Geneviève Lajoie; Rémi Maglione; Steven W Kembel
Journal:  Microbiome       Date:  2020-05-21       Impact factor: 14.650

5.  The Generation of a Comprehensive Spectral Library for the Analysis of the Guinea Pig Proteome by SWATH-MS.

Authors:  Pawel Palmowski; Rachael Watson; G Nicholas Europe-Finner; Magdalena Karolczak-Bayatti; Andrew Porter; Achim Treumann; Michael J Taggart
Journal:  Proteomics       Date:  2019-07-22       Impact factor: 3.984

6.  Use of rare-earth elements in the phyllosphere colonizer Methylobacterium extorquens PA1.

Authors:  Andrea M Ochsner; Lucas Hemmerle; Thomas Vonderach; Ralph Nüssli; Miriam Bortfeld-Miller; Bodo Hattendorf; Julia A Vorholt
Journal:  Mol Microbiol       Date:  2019-02-17       Impact factor: 3.501

7.  Functional Signatures of the Epiphytic Prokaryotic Microbiome of Agaves and Cacti.

Authors:  Víctor M Flores-Núñez; Citlali Fonseca-García; Damaris Desgarennes; Emiley Eloe-Fadrosh; Tanja Woyke; Laila P Partida-Martínez
Journal:  Front Microbiol       Date:  2020-01-17       Impact factor: 5.640

8.  A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS.

Authors:  Mukul K Midha; Ulrike Kusebauch; David Shteynberg; Charu Kapil; Samuel L Bader; Panga Jaipal Reddy; David S Campbell; Nitin S Baliga; Robert L Moritz
Journal:  Sci Data       Date:  2020-11-12       Impact factor: 6.444

9.  Spectral Libraries for SWATH-MS Assays for Drosophila melanogaster and Solanum lycopersicum.

Authors:  Bertrand Fabre; Dagmara Korona; Clara I Mata; Harriet T Parsons; Michael J Deery; Maarten L A T M Hertog; Bart M Nicolaï; Steven Russell; Kathryn S Lilley
Journal:  Proteomics       Date:  2017-11       Impact factor: 3.984

Review 10.  Data-independent acquisition-based SWATH-MS for quantitative proteomics: a tutorial.

Authors:  Christina Ludwig; Ludovic Gillet; George Rosenberger; Sabine Amon; Ben C Collins; Ruedi Aebersold
Journal:  Mol Syst Biol       Date:  2018-08-13       Impact factor: 11.429

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.