Literature DB >> 31728740

Evolutionary engineering and molecular characterization of a caffeine-resistant Saccharomyces cerevisiae strain.

Yusuf Sürmeli1,2,3, Can Holyavkin1,2, Alican Topaloğlu1,2, Mevlüt Arslan1,2,4, Halil İbrahim Kısakesen1,2, Zeynep Petek Çakar5,6.   

Abstract

Caffeine is a naturally occurring alkaloid, where its major consumption occurs with beverages such as coffee, soft drinks and tea. Despite a variety of reports on the effects of caffeine on diverse organisms including yeast, the complex molecular basis of caffeine resistance and response has yet to be understood. In this study, a caffeine-hyperresistant and genetically stable Saccharomyces cerevisiae mutant was obtained for the first time by evolutionary engineering, using batch selection in the presence of gradually increased caffeine stress levels and without any mutagenesis of the initial population prior to selection. The selected mutant could resist up to 50 mM caffeine, a level, to our knowledge, that has not been reported for S. cerevisiae so far. The mutant was also resistant to the cell wall-damaging agent lyticase, and it showed cross-resistance against various compounds such as rapamycin, antimycin, coniferyl aldehyde and cycloheximide. Comparative transcriptomic analysis results revealed that the genes involved in the energy conservation and production pathways, and pleiotropic drug resistance were overexpressed. Whole genome re-sequencing identified single nucleotide polymorphisms in only three genes of the caffeine-hyperresistant mutant; PDR1, PDR5 and RIM8, which may play a potential role in caffeine-hyperresistance.

Entities:  

Keywords:  Adaptive laboratory evolution; Caffeine; Evolutionary engineering; Pleiotropic drug resistance (PDR); Saccharomyces cerevisiae; Stress resistance

Year:  2019        PMID: 31728740     DOI: 10.1007/s11274-019-2762-2

Source DB:  PubMed          Journal:  World J Microbiol Biotechnol        ISSN: 0959-3993            Impact factor:   3.312


  90 in total

1.  Loss of vacuolar H+-ATPase activity in organelles signals ubiquitination and endocytosis of the yeast plasma membrane proton pump Pma1p.

Authors:  Anne M Smardon; Patricia M Kane
Journal:  J Biol Chem       Date:  2014-09-30       Impact factor: 5.157

2.  Caffeine in floral nectar enhances a pollinator's memory of reward.

Authors:  G A Wright; D D Baker; M J Palmer; D Stabler; J A Mustard; E F Power; A M Borland; P C Stevenson
Journal:  Science       Date:  2013-03-08       Impact factor: 47.728

3.  Isolation of cobalt hyper-resistant mutants of Saccharomyces cerevisiae by in vivo evolutionary engineering approach.

Authors:  Z Petek Cakar; Ceren Alkim; Burcu Turanli; Nilgün Tokman; Süleyman Akman; Mehmet Sarikaya; Candan Tamerler; Laurent Benbadis; Jean M François
Journal:  J Biotechnol       Date:  2009-07-03       Impact factor: 3.307

4.  Gtr1p differentially associates with Gtr2p and Ego1p.

Authors:  Yonggang Wang; Yoshiko Kurihara; Tetsuya Sato; Hiroyuki Toh; Hideki Kobayashi; Takeshi Sekiguchi
Journal:  Gene       Date:  2009-05-15       Impact factor: 3.688

Review 5.  Under pressure: evolutionary engineering of yeast strains for improved performance in fuels and chemicals production.

Authors:  Robert Mans; Jean-Marc G Daran; Jack T Pronk
Journal:  Curr Opin Biotechnol       Date:  2017-11-20       Impact factor: 9.740

6.  Laboratory evolution for forced glucose-xylose co-consumption enables identification of mutations that improve mixed-sugar fermentation by xylose-fermenting Saccharomyces cerevisiae.

Authors:  Ioannis Papapetridis; Maarten D Verhoeven; Sanne J Wiersma; Maaike Goudriaan; Antonius J A van Maris; Jack T Pronk
Journal:  FEMS Yeast Res       Date:  2018-09-01       Impact factor: 2.796

7.  The budding yeast Rad9 checkpoint protein is subjected to Mec1/Tel1-dependent hyperphosphorylation and interacts with Rad53 after DNA damage.

Authors:  J E Vialard; C S Gilbert; C M Green; N F Lowndes
Journal:  EMBO J       Date:  1998-10-01       Impact factor: 11.598

8.  A study of the yeast cell wall composition and structure in response to growth conditions and mode of cultivation.

Authors:  B Aguilar-Uscanga; J M François
Journal:  Lett Appl Microbiol       Date:  2003       Impact factor: 2.858

9.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

Review 10.  Yeast genetic interaction screens in the age of CRISPR/Cas.

Authors:  Neil R Adames; Jenna E Gallegos; Jean Peccoud
Journal:  Curr Genet       Date:  2018-09-25       Impact factor: 3.886

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  4 in total

1.  Improvement of macrolactins production by the genetic adaptation of Bacillus siamensis A72 to saline stress via adaptive laboratory evolution.

Authors:  Yuman Gan; Meng Bai; Xiao Lin; Kai Liu; Bingyao Huang; Xiaodong Jiang; Yonghong Liu; Chenghai Gao
Journal:  Microb Cell Fact       Date:  2022-07-19       Impact factor: 6.352

2.  Evolutionary Engineering of an Iron-Resistant Saccharomyces cerevisiae Mutant and Its Physiological and Molecular Characterization.

Authors:  Berrak Gülçin Balaban; Ülkü Yılmaz; Ceren Alkım; Alican Topaloğlu; Halil İbrahim Kısakesen; Can Holyavkin; Zeynep Petek Çakar
Journal:  Microorganisms       Date:  2019-12-24

Review 3.  Saccharomyces cerevisiae and Caffeine Implications on the Eukaryotic Cell.

Authors:  Lavinia Liliana Ruta; Ileana Cornelia Farcasanu
Journal:  Nutrients       Date:  2020-08-13       Impact factor: 5.717

4.  Physiological and Molecular Characterization of an Oxidative Stress-Resistant Saccharomyces cerevisiae Strain Obtained by Evolutionary Engineering.

Authors:  Nazlı Kocaefe-Özşen; Bahtiyar Yilmaz; Ceren Alkım; Mevlüt Arslan; Alican Topaloğlu; Halil L Brahim Kısakesen; Erdinç Gülsev; Z Petek Çakar
Journal:  Front Microbiol       Date:  2022-02-24       Impact factor: 5.640

  4 in total

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