Literature DB >> 24081429

Changes in translational efficiency is a dominant regulatory mechanism in the environmental response of bacteria.

Ronald C Taylor1, Bobbie-Jo M Webb Robertson, Lye Meng Markillie, Margrethe H Serres, Bryan E Linggi, Joshua T Aldrich, Eric A Hill, Margaret F Romine, Mary S Lipton, H Steven Wiley.   

Abstract

To understand how cell physiological state affects mRNA translation, we used Shewanella oneidensis MR-1 grown under steady state conditions at either 20% or 8.5% O2. Using a combination of quantitative proteomics and RNA-Seq, we generated high-confidence data on >1000 mRNA and protein pairs. By using a steady state model, we found that differences in protein-mRNA ratios were primarily due to differences in the translational efficiency of specific genes. When oxygen levels were lowered, 28% of the proteins showed at least a 2-fold change in expression. Transcription levels were sp. significantly altered for 26% of the protein changes; translational efficiency was significantly altered for 46% and a combination of both was responsible for the remaining 28%. Changes in translational efficiency were significantly correlated with the codon usage pattern of the genes and measurable tRNA pools changed in response to altered O2 levels. Our results suggest that changes in the translational efficiency of proteins, in part due to altered tRNA pools, is a major determinant of regulated alterations in protein expression levels in bacteria.

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Year:  2013        PMID: 24081429      PMCID: PMC3968953          DOI: 10.1039/c3ib40120k

Source DB:  PubMed          Journal:  Integr Biol (Camb)        ISSN: 1757-9694            Impact factor:   2.192


  56 in total

1.  Predicted highly expressed genes of diverse prokaryotic genomes.

Authors:  S Karlin; J Mrázek
Journal:  J Bacteriol       Date:  2000-09       Impact factor: 3.490

2.  Specific recognition of rpsO mRNA and 16S rRNA by Escherichia coli ribosomal protein S15 relies on both mimicry and site differentiation.

Authors:  Nathalie Mathy; Olivier Pellegrini; Alexander Serganov; Dinshaw J Patel; Chantal Ehresmann; Claude Portier
Journal:  Mol Microbiol       Date:  2004-05       Impact factor: 3.501

3.  Solving the riddle of codon usage preferences: a test for translational selection.

Authors:  Mario dos Reis; Renos Savva; Lorenz Wernisch
Journal:  Nucleic Acids Res       Date:  2004-09-24       Impact factor: 16.971

Review 4.  Turnover of intracellular proteins.

Authors:  M J Pine
Journal:  Annu Rev Microbiol       Date:  1972       Impact factor: 15.500

5.  Protein degradation in Escherichia coli. I. Measurement of rapidly and slowly decaying components.

Authors:  K Nath; A L Koch
Journal:  J Biol Chem       Date:  1970-06-10       Impact factor: 5.157

6.  Mathematical modelling of translation of mRNA in eucaryotes; steady state, time-dependent processes and application to reticulocytes.

Authors:  R Heinrich; T A Rapoport
Journal:  J Theor Biol       Date:  1980-09-21       Impact factor: 2.691

7.  The modified wobble nucleoside uridine-5-oxyacetic acid in tRNAPro(cmo5UGG) promotes reading of all four proline codons in vivo.

Authors:  S Joakim Nasvall; Peng Chen; Glenn R Bjork
Journal:  RNA       Date:  2004-10       Impact factor: 4.942

8.  Global analysis of protein expression in yeast.

Authors:  Sina Ghaemmaghami; Won-Ki Huh; Kiowa Bower; Russell W Howson; Archana Belle; Noah Dephoure; Erin K O'Shea; Jonathan S Weissman
Journal:  Nature       Date:  2003-10-16       Impact factor: 49.962

9.  Complementary profiling of gene expression at the transcriptome and proteome levels in Saccharomyces cerevisiae.

Authors:  Timothy J Griffin; Steven P Gygi; Trey Ideker; Beate Rist; Jimmy Eng; Leroy Hood; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2002-04       Impact factor: 5.911

10.  Shared control of gene expression in bacteria by transcription factors and global physiology of the cell.

Authors:  Sara Berthoumieux; Hidde de Jong; Guillaume Baptist; Corinne Pinel; Caroline Ranquet; Delphine Ropers; Johannes Geiselmann
Journal:  Mol Syst Biol       Date:  2013       Impact factor: 11.429

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  16 in total

1.  Conservation of protein abundance patterns reveals the regulatory architecture of the EGFR-MAPK pathway.

Authors:  Tujin Shi; Mario Niepel; Jason E McDermott; Yuqian Gao; Carrie D Nicora; William B Chrisler; Lye M Markillie; Vladislav A Petyuk; Richard D Smith; Karin D Rodland; Peter K Sorger; Wei-Jun Qian; H Steven Wiley
Journal:  Sci Signal       Date:  2016-07-12       Impact factor: 8.192

2.  Galectin-1 suppresses methamphetamine induced neuroinflammation in human brain microvascular endothelial cells: Neuroprotective role in maintaining blood brain barrier integrity.

Authors:  Neil U Parikh; R Aalinkeel; J L Reynolds; B B Nair; D E Sykes; M J Mammen; S A Schwartz; S D Mahajan
Journal:  Brain Res       Date:  2015-07-30       Impact factor: 3.252

3.  Simvastatin and zinc synergistically enhance osteoblasts activity and decrease the acute response of inflammatory cells.

Authors:  Maryam Montazerolghaem; Yi Ning; Håkan Engqvist; Marjam Karlsson Ott; Maria Tenje; Gemma Mestres
Journal:  J Mater Sci Mater Med       Date:  2015-12-24       Impact factor: 3.896

4.  Translational control plays an important role in the adaptive heat-shock response of Streptomyces coelicolor.

Authors:  Giselda Bucca; Radhika Pothi; Andrew Hesketh; Carla Möller-Levet; David A Hodgson; Emma E Laing; Graham R Stewart; Colin P Smith
Journal:  Nucleic Acids Res       Date:  2018-06-20       Impact factor: 16.971

Review 5.  Simultaneous ribosome profiling of hundreds of microbes from the human microbiome.

Authors:  Brayon J Fremin; Cosmos Nicolaou; Ami S Bhatt
Journal:  Nat Protoc       Date:  2021-08-11       Impact factor: 13.491

Review 6.  From Input to Output: The Lap/c-di-GMP Biofilm Regulatory Circuit.

Authors:  Alan J Collins; T Jarrod Smith; Holger Sondermann; George A O'Toole
Journal:  Annu Rev Microbiol       Date:  2020-07-20       Impact factor: 15.500

7.  Using genomics to characterize evolutionary potential for conservation of wild populations.

Authors:  Katherine A Harrisson; Alexandra Pavlova; Marina Telonis-Scott; Paul Sunnucks
Journal:  Evol Appl       Date:  2014-03-14       Impact factor: 5.183

8.  Probing the missing mature β-cell proteomic landscape in differentiating patient iPSC-derived cells.

Authors:  Heidrun Vethe; Yngvild Bjørlykke; Luiza M Ghila; Joao A Paulo; Hanne Scholz; Steven P Gygi; Simona Chera; Helge Ræder
Journal:  Sci Rep       Date:  2017-07-06       Impact factor: 4.379

9.  Predicting Species-Resolved Macronutrient Acquisition during Succession in a Model Phototrophic Biofilm Using an Integrated 'Omics Approach.

Authors:  Stephen R Lindemann; Jennifer M Mobberley; Jessica K Cole; L M Markillie; Ronald C Taylor; Eric Huang; William B Chrisler; H S Wiley; Mary S Lipton; William C Nelson; James K Fredrickson; Margaret F Romine
Journal:  Front Microbiol       Date:  2017-06-13       Impact factor: 5.640

10.  Network-Based Methods for Identifying Key Active Proteins in the Extracellular Electron Transfer Process in Shewanella oneidensis MR-1.

Authors:  Dewu Ding; Xiao Sun
Journal:  Genes (Basel)       Date:  2018-01-16       Impact factor: 4.096

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