Literature DB >> 15186442

Comprehensive gene expression analysis of the response to straight-chain alcohols in Saccharomyces cerevisiae using cDNA microarray.

K Fujita1, A Matsuyama, Y Kobayashi, H Iwahashi.   

Abstract

AIMS: The purpose of this study was to examine the gene expression profiles of yeast Saccharomyces cerevisiae subjected to straight-chain alcohols. METHODS AND
RESULTS: Lipophilic alcohols with high log Pow values were more toxic to yeast than those with low log Pow values. Morphological changes after exposure to ethanol, 1-pentanol, 1-octanol were observed, whereas n-pentane as a model hydrocarbon affected the surface of the outer membrane, with little change in organelles. Using cDNA microarrays, quite a few up-regulated gene categories were classified into the category 'cell rescue, defence and virulence' by ethanol, and the category 'energy' and 'metabolism' by 1-pentanol. Meanwhile, the characteristic genes up-regulated by n-pentane were not observed, and the expression profile was distantly related to ethanol, 1-pentanol and 1-octanol.
CONCLUSIONS: This study suggests that gene expression profiles at the whole genome level were intimately associated with the cell growth inhibition and morphological changes by straight-chain alcohols with differing log Pow values. SIGNIFICANCE AND IMPACT OF THE STUDY: The study of comprehensive gene expression profiles by cDNA microarrays elucidates the straight-chain alcohol adaptation mechanisms.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15186442     DOI: 10.1111/j.1365-2672.2004.02290.x

Source DB:  PubMed          Journal:  J Appl Microbiol        ISSN: 1364-5072            Impact factor:   3.772


  14 in total

1.  Genome-wide expression analysis of yeast response during exposure to 4 degrees C.

Authors:  Yoshinori Murata; Takayuki Homma; Emiko Kitagawa; Yuko Momose; Masanori S Sato; Mine Odani; Hisayo Shimizu; Mika Hasegawa-Mizusawa; Rena Matsumoto; Satomi Mizukami; Katsuhide Fujita; Meher Parveen; Yasuhiko Komatsu; Hitoshi Iwahashi
Journal:  Extremophiles       Date:  2005-10-28       Impact factor: 2.395

Review 2.  Microbial synthesis of medium-chain chemicals from renewables.

Authors:  Stephen Sarria; Nicholas S Kruyer; Pamela Peralta-Yahya
Journal:  Nat Biotechnol       Date:  2017-12-08       Impact factor: 54.908

3.  Exploiting natural variation in Saccharomyces cerevisiae to identify genes for increased ethanol resistance.

Authors:  Jeffrey A Lewis; Isaac M Elkon; Mick A McGee; Alan J Higbee; Audrey P Gasch
Journal:  Genetics       Date:  2010-09-20       Impact factor: 4.562

4.  Activation of two different resistance mechanisms in Saccharomyces cerevisiae upon exposure to octanoic and decanoic acids.

Authors:  J L Legras; C Erny; C Le Jeune; M Lollier; Y Adolphe; C Demuyter; P Delobel; B Blondin; F Karst
Journal:  Appl Environ Microbiol       Date:  2010-09-17       Impact factor: 4.792

5.  Generation and characterisation of stable ethanol-tolerant mutants of Saccharomyces cerevisiae.

Authors:  Dragana Stanley; Sarah Fraser; Paul J Chambers; Peter Rogers; Grant A Stanley
Journal:  J Ind Microbiol Biotechnol       Date:  2009-11-10       Impact factor: 3.346

6.  TrgI, toluene repressed gene I, a novel gene involved in toluene-tolerance in Pseudomonas putida S12.

Authors:  Rita J M Volkers; Hendrik Ballerstedt; Harald Ruijssenaars; Jan A M de Bont; Johannes H de Winde; Jan Wery
Journal:  Extremophiles       Date:  2008-12-17       Impact factor: 2.395

7.  Vacuolar H+-ATPase Protects Saccharomyces cerevisiae Cells against Ethanol-Induced Oxidative and Cell Wall Stresses.

Authors:  Sirikarn Charoenbhakdi; Thanittra Dokpikul; Thanawat Burphan; Todsapol Techo; Choowong Auesukaree
Journal:  Appl Environ Microbiol       Date:  2016-05-02       Impact factor: 4.792

8.  Genome-wide identification of genes involved in tolerance to various environmental stresses in Saccharomyces cerevisiae.

Authors:  C Auesukaree; A Damnernsawad; M Kruatrachue; P Pokethitiyook; C Boonchird; Y Kaneko; S Harashima
Journal:  J Appl Genet       Date:  2009       Impact factor: 3.240

9.  Investigating the underlying mechanism of Saccharomyces cerevisiae in response to ethanol stress employing RNA-seq analysis.

Authors:  Ruoyun Li; Guotong Xiong; Shukun Yuan; Zufang Wu; Yingjie Miao; Peifang Weng
Journal:  World J Microbiol Biotechnol       Date:  2017-11-03       Impact factor: 3.312

10.  Quantitative 1H-NMR-metabolomics reveals extensive metabolic reprogramming and the effect of the aquaglyceroporin FPS1 in ethanol-stressed yeast cells.

Authors:  Artur B Lourenço; Filipa C Roque; Miguel C Teixeira; José R Ascenso; Isabel Sá-Correia
Journal:  PLoS One       Date:  2013-02-08       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.