Literature DB >> 25277243

Analysis of differential expression patterns of mRNA and protein during cold-acclimation and de-acclimation in Arabidopsis.

Kentaro Nakaminami1, Akihiro Matsui1, Hirofumi Nakagami2, Anzu Minami3, Yuko Nomura2, Maho Tanaka1, Taeko Morosawa1, Junko Ishida1, Satoshi Takahashi1, Matsuo Uemura3, Ken Shirasu4, Motoaki Seki5.   

Abstract

Overwintering plants are capable of exhibiting high levels of cold tolerance, which is acquired through the process of cold acclimation (CA). In contrast to CA, the acquired freezing tolerance is rapidly reduced during cold de-acclimation (DA) and plants resume growth after sensing warm temperatures. In order to better understand plant growth and development, and to aid in the breeding of cold-tolerant plants, it is important to decipher the functional mechanisms of the DA process. In this study, we performed comparative transcriptomic and proteomic analyses during CA and DA. As revealed by shotgun proteomics, we identified 3987 peptides originating from 1569 unique proteins and the corresponding mRNAs were analyzed. Among the 1569 genes, 658 genes were specifically induced at the transcriptional level during the process of cold acclimation. In order to investigate the relationship between mRNA and the corresponding protein expression pattern, a Pearson correlation was analyzed. Interestingly, 199 genes showed a positive correlation of mRNA and protein expression pattern, indicating that both their transcription and translation occurred during CA. However, 226 genes showed a negative correlation of mRNA and protein expression pattern, indicating that their mRNAs were transcribed during CA and were stored for the subsequent DA step. Under this scenario, those proteins were specifically increased during DA without additional transcription of mRNA. In order to confirm the negative correlation of mRNA and protein expression patterns, qRT-PCR and western blot analyses were performed. Mitochondrial malate dehydrogenase 1 (mMDH1) exhibited a negative correlation of mRNA and protein levels, which was characterized by CA-specific mRNA induction and protein accumulation specifically during DA. These data indicate that the expression of specific mRNAs and subsequent accumulation of corresponding proteins are not always in accordance under low temperature stress conditions in plants.
© 2014 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2014        PMID: 25277243      PMCID: PMC4256508          DOI: 10.1074/mcp.M114.039081

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


  44 in total

1.  In-gel digestion for mass spectrometric characterization of proteins and proteomes.

Authors:  Andrej Shevchenko; Henrik Tomas; Jan Havlis; Jesper V Olsen; Matthias Mann
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

2.  Plant stress granules and mRNA processing bodies are distinct from heat stress granules.

Authors:  Christian Weber; Lutz Nover; Markus Fauth
Journal:  Plant J       Date:  2008-08-06       Impact factor: 6.417

3.  Cleavage of structural proteins during the assembly of the head of bacteriophage T4.

Authors:  U K Laemmli
Journal:  Nature       Date:  1970-08-15       Impact factor: 49.962

4.  Improving plant drought, salt, and freezing tolerance by gene transfer of a single stress-inducible transcription factor.

Authors:  M Kasuga; Q Liu; S Miura; K Yamaguchi-Shinozaki; K Shinozaki
Journal:  Nat Biotechnol       Date:  1999-03       Impact factor: 54.908

5.  Cold-induced freezing tolerance in Arabidopsis.

Authors:  L A Wanner; O Junttila
Journal:  Plant Physiol       Date:  1999-06       Impact factor: 8.340

6.  Proteome analysis of cold stress response in Arabidopsis thaliana using DIGE-technology.

Authors:  Steffen Amme; Andrea Matros; Bernhard Schlesier; Hans-Peter Mock
Journal:  J Exp Bot       Date:  2006-03-30       Impact factor: 6.992

7.  Large-scale comparative phosphoproteomics identifies conserved phosphorylation sites in plants.

Authors:  Hirofumi Nakagami; Naoyuki Sugiyama; Keiichi Mochida; Arsalan Daudi; Yuko Yoshida; Tetsuro Toyoda; Masaru Tomita; Yasushi Ishihama; Ken Shirasu
Journal:  Plant Physiol       Date:  2010-05-13       Impact factor: 8.340

8.  Identification of unstable transcripts in Arabidopsis by cDNA microarray analysis: rapid decay is associated with a group of touch- and specific clock-controlled genes.

Authors:  Rodrigo A Gutierrez; Rob M Ewing; J Michael Cherry; Pamela J Green
Journal:  Proc Natl Acad Sci U S A       Date:  2002-08-07       Impact factor: 11.205

9.  Differential mRNA translation contributes to gene regulation under non-stress and dehydration stress conditions in Arabidopsis thaliana.

Authors:  Riki Kawaguchi; Thomas Girke; Elizabeth A Bray; Julia Bailey-Serres
Journal:  Plant J       Date:  2004-06       Impact factor: 6.417

10.  Gene expression and stress response mediated by the epigenetic regulation of a transposable element small RNA.

Authors:  Andrea D McCue; Saivageethi Nuthikattu; Sarah H Reeder; R Keith Slotkin
Journal:  PLoS Genet       Date:  2012-02-09       Impact factor: 5.917

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  21 in total

1.  Identification of Winter-Responsive Proteins in Bread Wheat Using Proteomics Analysis and Virus-Induced Gene Silencing (VIGS).

Authors:  Ning Zhang; Wang Huo; Lingran Zhang; Feng Chen; Dangqun Cui
Journal:  Mol Cell Proteomics       Date:  2016-07-08       Impact factor: 5.911

2.  Proteomes and Ubiquitylomes Analysis Reveals the Involvement of Ubiquitination in Protein Degradation in Petunias.

Authors:  Jianhang Guo; Juanxu Liu; Qian Wei; Rongmin Wang; Weiyuan Yang; Yueyue Ma; Guoju Chen; Yixun Yu
Journal:  Plant Physiol       Date:  2016-11-03       Impact factor: 8.340

3.  A combined transcriptomic and proteomic analysis of chrysanthemum provides new insights into petal senescence.

Authors:  Juanni Yao; Rui Li; Yulin Cheng; Zhengguo Li
Journal:  Planta       Date:  2021-12-16       Impact factor: 4.116

4.  Garlic (Allium sativum L.) fertility: transcriptome and proteome analyses provide insight into flower and pollen development.

Authors:  Einat Shemesh-Mayer; Tomer Ben-Michael; Neta Rotem; Haim D Rabinowitch; Adi Doron-Faigenboim; Arkadiusz Kosmala; Dawid Perlikowski; Amir Sherman; Rina Kamenetsky
Journal:  Front Plant Sci       Date:  2015-04-28       Impact factor: 5.753

5.  NMR Metabolomics in Ionizing Radiation.

Authors:  Jian Zhi Hu; Xiongjie Xiao; Mary Y Hu
Journal:  Clin Oncol (Belmont)       Date:  2016-09-08

6.  iTRAQ and virus-induced gene silencing revealed three proteins involved in cold response in bread wheat.

Authors:  Ning Zhang; Lingran Zhang; Lei Zhao; Yan Ren; Dangqun Cui; Jianhui Chen; Yongyan Wang; Pengbo Yu; Feng Chen
Journal:  Sci Rep       Date:  2017-08-08       Impact factor: 4.379

7.  Transcriptome Analysis of Spartina pectinata in Response to Freezing Stress.

Authors:  Gyoungju Nah; Moonsub Lee; Do-Soon Kim; A Lane Rayburn; Thomas Voigt; D K Lee
Journal:  PLoS One       Date:  2016-03-31       Impact factor: 3.240

8.  Proteomic Identification of Differentially Expressed Proteins during Alfalfa (Medicago sativa L.) Flower Development.

Authors:  Lingling Chen; Quanzhu Chen; Yanqiao Zhu; Longyu Hou; Peisheng Mao
Journal:  Front Plant Sci       Date:  2016-10-04       Impact factor: 5.753

9.  Cold and Heat Stress Diversely Alter Both Cauliflower Respiration and Distinct Mitochondrial Proteins Including OXPHOS Components and Matrix Enzymes.

Authors:  Michał Rurek; Magdalena Czołpińska; Tomasz Andrzej Pawłowski; Włodzimierz Krzesiński; Tomasz Spiżewski
Journal:  Int J Mol Sci       Date:  2018-03-16       Impact factor: 5.923

10.  Mitochondrial Biogenesis in Diverse Cauliflower Cultivars under Mild and Severe Drought. Impaired Coordination of Selected Transcript and Proteomic Responses, and Regulation of Various Multifunctional Proteins.

Authors:  Michał Rurek; Magdalena Czołpińska; Tomasz Andrzej Pawłowski; Aleksandra Maria Staszak; Witold Nowak; Włodzimierz Krzesiński; Tomasz Spiżewski
Journal:  Int J Mol Sci       Date:  2018-04-10       Impact factor: 5.923

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