Literature DB >> 24385303

Analysis of flooding-responsive proteins localized in the nucleus of soybean root tips.

Setsuko Komatsu1, Susumu Hiraga, Mohammad Zaman Nouri.   

Abstract

Flooding stress has negative impact on soybean cultivation as it severely impairs plant growth and development. To examine whether nuclear function is affected in soybean under flooding stress, abundance of nuclear proteins and their mRNA expression were analyzed. Two-day-old soybean seedlings were treated with flooding for 2 days, and nuclear proteins were purified from root tips. Gel-free proteomics analysis identified a total of 39 flooding-responsive proteins, of which abundance of 8 and 31 was increased and decreased, respectively, in soybean root tips. Among these differentially regulated proteins, the mRNA expression levels of five nuclear-localized proteins were further analyzed. The mRNA levels of four proteins, which are splicing factor PWI domain-containing protein, epsilon2-COP, beta-catenin, and clathrin heavy chain decreased under flooding stress, were also down-regulated. In addition, mRNA level of a receptor for activated protein kinase C1(RACK1) was down-regulated, though its protein was accumulated in the soybean nucleus in response to flooding stress. These results suggest that several nuclear-related proteins are decreased at both the protein and mRNA level in the root tips of soybean under flooding stress. Furthermore, RACK1 might have an important role with accumulation in the soybean nucleus under flooding-stress conditions.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24385303     DOI: 10.1007/s11033-013-2959-7

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  48 in total

1.  Structure and function of the PWI motif: a novel nucleic acid-binding domain that facilitates pre-mRNA processing.

Authors:  Blair R Szymczyna; John Bowman; Susan McCracken; Antonio Pineda-Lucena; Ying Lu; Brian Cox; Mark Lambermon; Brenton R Graveley; Cheryl H Arrowsmith; Benjamin J Blencowe
Journal:  Genes Dev       Date:  2003-02-15       Impact factor: 11.361

2.  Changes in RACK1 expression induce defects in nodulation and development in Phaseolus vulgaris.

Authors:  Tania Islas-Flores; Gabriel Guillén; Federico Sánchez; Marco A Villanueva
Journal:  Plant Signal Behav       Date:  2012-01

3.  Involvement of Arabidopsis RACK1 in protein translation and its regulation by abscisic acid.

Authors:  Jianjun Guo; Shucai Wang; Oliver Valerius; Hardy Hall; Qingning Zeng; Jian-Feng Li; David J Weston; Brian E Ellis; Jin-Gui Chen
Journal:  Plant Physiol       Date:  2010-11-19       Impact factor: 8.340

4.  Characterization of a novel flooding stress-responsive alcohol dehydrogenase expressed in soybean roots.

Authors:  Setsuko Komatsu; Thibaut Deschamps; Deschamps Thibaut; Susumu Hiraga; Mikio Kato; Mitsuru Chiba; Akiko Hashiguchi; Makoto Tougou; Satoshi Shimamura; Hiroshi Yasue
Journal:  Plant Mol Biol       Date:  2011-08-03       Impact factor: 4.076

5.  The ethylene response factors SNORKEL1 and SNORKEL2 allow rice to adapt to deep water.

Authors:  Yoko Hattori; Keisuke Nagai; Shizuka Furukawa; Xian-Jun Song; Ritsuko Kawano; Hitoshi Sakakibara; Jianzhong Wu; Takashi Matsumoto; Atsushi Yoshimura; Hidemi Kitano; Makoto Matsuoka; Hitoshi Mori; Motoyuki Ashikari
Journal:  Nature       Date:  2009-08-20       Impact factor: 49.962

6.  Wnt/β-catenin signaling regulates Yes-associated protein (YAP) gene expression in colorectal carcinoma cells.

Authors:  Wesley M Konsavage; Sydney L Kyler; Sherri A Rennoll; Ge Jin; Gregory S Yochum
Journal:  J Biol Chem       Date:  2012-02-15       Impact factor: 5.157

7.  Comparative proteomic profiles of the soybean (Glycine max) root apex and differentiated root zone.

Authors:  Ulrike Mathesius; Michael A Djordjevic; Marie Oakes; Nicolas Goffard; Farzad Haerizadeh; Georg F Weiller; Mohan B Singh; Prem L Bhalla
Journal:  Proteomics       Date:  2011-03-22       Impact factor: 3.984

8.  Proteome analysis of soybean roots under waterlogging stress at an early vegetative stage.

Authors:  Iftekhar Alam; Dong-Gi Lee; Kyung-Hee Kim; Choong-Hoon Park; Shamima Akhtar Sharmin; Hyoshin Lee; Ki-Won Oh; Byung-Wook Yun; Byung-Hyun Lee
Journal:  J Biosci       Date:  2010-03       Impact factor: 1.826

9.  Ubiquitin/proteasome-mediated proteolysis is involved in the response to flooding stress in soybean roots, independent of oxygen limitation.

Authors:  Yuki Yanagawa; Setsuko Komatsu
Journal:  Plant Sci       Date:  2011-11-28       Impact factor: 4.729

10.  RACK1 is a negative regulator of ABA responses in Arabidopsis.

Authors:  Jianjun Guo; Junbi Wang; Li Xi; Wei-Dong Huang; Jiansheng Liang; Jin-Gui Chen
Journal:  J Exp Bot       Date:  2009-07-07       Impact factor: 6.992

View more
  7 in total

1.  Arabidopsis receptor of activated C kinase1 phosphorylation by WITH NO LYSINE8 KINASE.

Authors:  Daisuke Urano; Olaf Czarnecki; Xiaoping Wang; Alan M Jones; Jin-Gui Chen
Journal:  Plant Physiol       Date:  2014-12-08       Impact factor: 8.340

Review 2.  Advances in plant proteomics toward improvement of crop productivity and stress resistancex.

Authors:  Junjie Hu; Christof Rampitsch; Natalia V Bykova
Journal:  Front Plant Sci       Date:  2015-04-14       Impact factor: 5.753

Review 3.  Subcellular Proteomics: Application to Elucidation of Flooding-Response Mechanisms in Soybean.

Authors:  Setsuko Komatsu; Akiko Hashiguchi
Journal:  Proteomes       Date:  2018-02-27

4.  Ocimum metabolomics in response to abiotic stresses: Cold, flood, drought and salinity.

Authors:  Shubhra Rastogi; Saumya Shah; Ritesh Kumar; Divya Vashisth; Md Qussen Akhtar; Ajay Kumar; Upendra Nath Dwivedi; Ajit Kumar Shasany
Journal:  PLoS One       Date:  2019-02-06       Impact factor: 3.240

Review 5.  Recent Advances in Carbon and Nitrogen Metabolism in C3 Plants.

Authors:  Marouane Baslam; Toshiaki Mitsui; Kuni Sueyoshi; Takuji Ohyama
Journal:  Int J Mol Sci       Date:  2020-12-30       Impact factor: 5.923

6.  Phenotype Prediction and Genome-Wide Association Study Using Deep Convolutional Neural Network of Soybean.

Authors:  Yang Liu; Duolin Wang; Fei He; Juexin Wang; Trupti Joshi; Dong Xu
Journal:  Front Genet       Date:  2019-11-22       Impact factor: 4.599

Review 7.  Review: Proteomic Techniques for the Development of Flood-Tolerant Soybean.

Authors:  Xin Wang; Setsuko Komatsu
Journal:  Int J Mol Sci       Date:  2020-10-12       Impact factor: 5.923

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.