Literature DB >> 19536156

Adaptive prediction of environmental changes by microorganisms.

Amir Mitchell1, Gal H Romano, Bella Groisman, Avihu Yona, Erez Dekel, Martin Kupiec, Orna Dahan, Yitzhak Pilpel.   

Abstract

Natural habitats of some microorganisms may fluctuate erratically, whereas others, which are more predictable, offer the opportunity to prepare in advance for the next environmental change. In analogy to classical Pavlovian conditioning, microorganisms may have evolved to anticipate environmental stimuli by adapting to their temporal order of appearance. Here we present evidence for environmental change anticipation in two model microorganisms, Escherichia coli and Saccharomyces cerevisiae. We show that anticipation is an adaptive trait, because pre-exposure to the stimulus that typically appears early in the ecology improves the organism's fitness when encountered with a second stimulus. Additionally, we observe loss of the conditioned response in E. coli strains that were repeatedly exposed in a laboratory evolution experiment only to the first stimulus. Focusing on the molecular level reveals that the natural temporal order of stimuli is embedded in the wiring of the regulatory network-early stimuli pre-induce genes that would be needed for later ones, yet later stimuli only induce genes needed to cope with them. Our work indicates that environmental anticipation is an adaptive trait that was repeatedly selected for during evolution and thus may be ubiquitous in biology.

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Year:  2009        PMID: 19536156     DOI: 10.1038/nature08112

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  24 in total

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Authors:  M A Harris; J Clark; A Ireland; J Lomax; M Ashburner; R Foulger; K Eilbeck; S Lewis; B Marshall; C Mungall; J Richter; G M Rubin; J A Blake; C Bult; M Dolan; H Drabkin; J T Eppig; D P Hill; L Ni; M Ringwald; R Balakrishnan; J M Cherry; K R Christie; M C Costanzo; S S Dwight; S Engel; D G Fisk; J E Hirschman; E L Hong; R S Nash; A Sethuraman; C L Theesfeld; D Botstein; K Dolinski; B Feierbach; T Berardini; S Mundodi; S Y Rhee; R Apweiler; D Barrell; E Camon; E Dimmer; V Lee; R Chisholm; P Gaudet; W Kibbe; R Kishore; E M Schwarz; P Sternberg; M Gwinn; L Hannick; J Wortman; M Berriman; V Wood; N de la Cruz; P Tonellato; P Jaiswal; T Seigfried; R White
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

2.  Bacterial persistence as a phenotypic switch.

Authors:  Nathalie Q Balaban; Jack Merrin; Remy Chait; Lukasz Kowalik; Stanislas Leibler
Journal:  Science       Date:  2004-08-12       Impact factor: 47.728

3.  Phenotypic diversity, population growth, and information in fluctuating environments.

Authors:  Edo Kussell; Stanislas Leibler
Journal:  Science       Date:  2005-08-25       Impact factor: 47.728

4.  Predictive behavior within microbial genetic networks.

Authors:  Ilias Tagkopoulos; Yir-Chung Liu; Saeed Tavazoie
Journal:  Science       Date:  2008-05-08       Impact factor: 47.728

5.  Evolution and variation of the yeast (Saccharomyces) genome.

Authors:  R K Mortimer
Journal:  Genome Res       Date:  2000-04       Impact factor: 9.043

6.  Genomic expression programs in the response of yeast cells to environmental changes.

Authors:  A P Gasch; P T Spellman; C M Kao; O Carmel-Harel; M B Eisen; G Storz; D Botstein; P O Brown
Journal:  Mol Biol Cell       Date:  2000-12       Impact factor: 4.138

7.  Mitochondrial function is required for resistance to oxidative stress in the yeast Saccharomyces cerevisiae.

Authors:  C M Grant; F H MacIver; I W Dawes
Journal:  FEBS Lett       Date:  1997-06-30       Impact factor: 4.124

8.  Demand theory of gene regulation. II. Quantitative application to the lactose and maltose operons of Escherichia coli.

Authors:  M A Savageau
Journal:  Genetics       Date:  1998-08       Impact factor: 4.562

9.  Stress-activated genomic expression changes serve a preparative role for impending stress in yeast.

Authors:  David B Berry; Audrey P Gasch
Journal:  Mol Biol Cell       Date:  2008-08-27       Impact factor: 4.138

10.  Hsp104 is required for tolerance to many forms of stress.

Authors:  Y Sanchez; J Taulien; K A Borkovich; S Lindquist
Journal:  EMBO J       Date:  1992-06       Impact factor: 11.598

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  190 in total

1.  Predictable and efficient carbon sequestration in the North Pacific Ocean supported by symbiotic nitrogen fixation.

Authors:  David M Karl; Matthew J Church; John E Dore; Ricardo M Letelier; Claire Mahaffey
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-30       Impact factor: 11.205

2.  Identifying sources of variation and the flow of information in biochemical networks.

Authors:  Clive G Bowsher; Peter S Swain
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-23       Impact factor: 11.205

Review 3.  Advantages and limitations of current network inference methods.

Authors:  Riet De Smet; Kathleen Marchal
Journal:  Nat Rev Microbiol       Date:  2010-08-31       Impact factor: 60.633

Review 4.  Circadian mRNA expression: insights from modeling and transcriptomics.

Authors:  Sarah Lück; Pål O Westermark
Journal:  Cell Mol Life Sci       Date:  2015-10-26       Impact factor: 9.261

Review 5.  (Actino)Bacterial "intelligence": using comparative genomics to unravel the information processing capacities of microbes.

Authors:  Daniela Pinto; Thorsten Mascher
Journal:  Curr Genet       Date:  2016-02-06       Impact factor: 3.886

6.  The roles of stress-activated Sty1 and Gcn2 kinases and of the protooncoprotein homologue Int6/eIF3e in responses to endogenous oxidative stress during histidine starvation.

Authors:  Naoki Nemoto; Tsuyoshi Udagawa; Takahiro Ohira; Li Jiang; Kouji Hirota; Caroline R M Wilkinson; Jürg Bähler; Nic Jones; Kunihiro Ohta; Ronald C Wek; Katsura Asano
Journal:  J Mol Biol       Date:  2010-09-25       Impact factor: 5.469

7.  The average enzyme principle.

Authors:  Ed Reznik; Osman Chaudhary; Daniel Segrè
Journal:  FEBS Lett       Date:  2013-07-23       Impact factor: 4.124

8.  Decoding the genetic networks of environmental bacteria: regulatory moonlighting of the TOL system of Pseudomonas putida mt-2.

Authors:  Rafael Silva-Rocha; Danilo Pérez-Pantoja; Víctor de Lorenzo
Journal:  ISME J       Date:  2012-08-16       Impact factor: 10.302

9.  Transient genotype-by-environment interactions following environmental shock provide a source of expression variation for essential genes.

Authors:  Kevin H Eng; Daniel J Kvitek; Sündüz Keles; Audrey P Gasch
Journal:  Genetics       Date:  2009-12-04       Impact factor: 4.562

10.  Rethinking the Hierarchy of Sugar Utilization in Bacteria.

Authors:  Chase L Beisel; Taliman Afroz
Journal:  J Bacteriol       Date:  2015-11-16       Impact factor: 3.490

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