Literature DB >> 28550410

Different exogenous sugars affect the hormone signal pathway and sugar metabolism in "Red Globe" (Vitis vinifera L.) plantlets grown in vitro as shown by transcriptomic analysis.

Juan Mao1, Wenfang Li1, Baoqin Mi1, Mohammed Mujitaba Dawuda1,2, Alejandro Calderón-Urrea3, Zonghuan Ma1, Yongmei Zhang4, Baihong Chen5.   

Abstract

MAIN
CONCLUSION: Exogenously applied 2% fructose is the most appropriate carbon source that enhances photosynthesis and growth of grape plantlets compared with the same concentrations of sucrose and glucose. The role of the sugars was regulated by the expression of key candidate genes related to hormones, key metabolic enzymes, and sugar metabolism of grape plantlets ( Vitis vinifera L.) grown in vitro. The addition of sugars including sucrose, glucose, and fructose is known to be very helpful for the development of grape (V. vinifera L.) plantlets in vitro. However, the mechanisms by which these sugars regulate plant development and sugar metabolism are poorly understood. In grape plantlets, sugar metabolism and hormone synthesis undergo special regulation. In the present study, transcriptomic analyses were performed on grape (V. vinifera L., cv. Red Globe) plantlets in an in vitro system, in which the plantlets were grown in 2% each of sucrose (S20), glucose (G20), and fructose (F20). The sugar metabolism and hormone synthesis of the plantlets were analyzed. In addition, 95.72-97.29% high-quality 125 bp reads were further analyzed out of which 52.65-60.80% were mapped to exonic regions, 13.13-28.38% to intronic regions, and 11.59-28.99% to intergenic regions. The F20, G20, and S20 displayed elevated sucrose synthase (SS) activities; relative chlorophyll contents; Rubisco activity; and IAA and zeatin (ZT) contents. We found F20 improved the growth and development of the plantlets better than G20 and S20. Sugar metabolism was a complex process, which depended on the balanced expression of key potential candidate genes related to hormones (TCP15, LOG3, IPT3, ETR1, HK2, HK3, CKX7, SPY, GH3s, MYBH, AGB1, MKK2, PP2C, PYL, ABF, SnRK, etc.), key metabolic enzymes (SUS, SPS, A/V-INV, and G6PDH), and sugar metabolism (BETAFRUCT4 and AMY). Moreover, sugar and starch metabolism controls the generation of plant hormone transduction pathway signaling molecules. Our dataset advances our knowledge of the genes involved in sugar metabolism and improves the understanding of complex regulatory networks involved in signal transduction in grape plantlets.

Entities:  

Keywords:  Enzyme activity; Exogenous sugar; Grape; Hormone signal pathway; Plantlet; Sugar metabolism; Transcriptomic analysis

Mesh:

Substances:

Year:  2017        PMID: 28550410     DOI: 10.1007/s00425-017-2712-x

Source DB:  PubMed          Journal:  Planta        ISSN: 0032-0935            Impact factor:   4.116


  33 in total

1.  Mapping and quantifying mammalian transcriptomes by RNA-Seq.

Authors:  Ali Mortazavi; Brian A Williams; Kenneth McCue; Lorian Schaeffer; Barbara Wold
Journal:  Nat Methods       Date:  2008-05-30       Impact factor: 28.547

2.  Coherence in energy transfer and photosynthesis.

Authors:  Aurélia Chenu; Gregory D Scholes
Journal:  Annu Rev Phys Chem       Date:  2014-12-01       Impact factor: 12.703

3.  EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments.

Authors:  Ning Leng; John A Dawson; James A Thomson; Victor Ruotti; Anna I Rissman; Bart M G Smits; Jill D Haag; Michael N Gould; Ron M Stewart; Christina Kendziorski
Journal:  Bioinformatics       Date:  2013-02-21       Impact factor: 6.937

4.  Enzymes of sucrose and hexose metabolism in developing kernels of two inbreds of maize.

Authors:  D C Doehlert; T M Kuo; F C Felker
Journal:  Plant Physiol       Date:  1988-04       Impact factor: 8.340

5.  Effect of increased temperature in apical regions of maize ears on starch-synthesis enzymes and accumulation of sugars and starch.

Authors:  T M Ou-Lee; T L Setter
Journal:  Plant Physiol       Date:  1985-11       Impact factor: 8.340

Review 6.  Sugar sensing and signaling in plants: conserved and novel mechanisms.

Authors:  Filip Rolland; Elena Baena-Gonzalez; Jen Sheen
Journal:  Annu Rev Plant Biol       Date:  2006       Impact factor: 26.379

7.  Effects of cold acclimation on sugar metabolism and sugar-related gene expression in tea plant during the winter season.

Authors:  Chuan Yue; Hong-Li Cao; Lu Wang; Yan-Hua Zhou; Yu-Ting Huang; Xin-Yuan Hao; Yu-Chun Wang; Bo Wang; Ya-Jun Yang; Xin-Chao Wang
Journal:  Plant Mol Biol       Date:  2015-07-28       Impact factor: 4.076

8.  Transcriptomic Analysis of the Regulation of Rhizome Formation in Temperate and Tropical Lotus (Nelumbo nucifera).

Authors:  Mei Yang; Lingping Zhu; Cheng Pan; Liming Xu; Yanling Liu; Weidong Ke; Pingfang Yang
Journal:  Sci Rep       Date:  2015-08-17       Impact factor: 4.379

9.  Global analysis of lysine acetylation in strawberry leaves.

Authors:  Xianping Fang; Wenyue Chen; Yun Zhao; Songlin Ruan; Hengmu Zhang; Chengqi Yan; Liang Jin; Lingling Cao; Jun Zhu; Huasheng Ma; Zhongyi Cheng
Journal:  Front Plant Sci       Date:  2015-09-15       Impact factor: 5.753

10.  Engineering α-amylase levels in wheat grain suggests a highly sophisticated level of carbohydrate regulation during development.

Authors:  Alex Whan; Anne-Sophie Dielen; Jos Mieog; Andrew F Bowerman; Hannah M Robinson; Keren Byrne; Michelle Colgrave; Philip J Larkin; Crispin A Howitt; Matthew K Morell; Jean-Philippe Ral
Journal:  J Exp Bot       Date:  2014-07-22       Impact factor: 6.992

View more
  2 in total

1.  VvTOR interacts with VvSnRK1.1 and regulates sugar metabolism in grape.

Authors:  Ying Zhao; Xiu-Qin Wang
Journal:  Planta       Date:  2022-08-06       Impact factor: 4.540

2.  Transcriptome Analysis of Gossypium hirsutum L. Reveals Different Mechanisms among NaCl, NaOH and Na2CO3 Stress Tolerance.

Authors:  Binglei Zhang; Xiugui Chen; Xuke Lu; Na Shu; Xiaoge Wang; Xiaomin Yang; Shuai Wang; Junjuan Wang; Lixue Guo; Delong Wang; Wuwei Ye
Journal:  Sci Rep       Date:  2018-09-10       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.