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Plant Growth Regulation

, Volume 84, Issue 2, pp 359–371 | Cite as

Differential proteomic analysis of rice seedlings reveals the advantage of dry-raising nursery practices

  • Zhixing Zhang
  • Fenglian Huang
  • CaiHong Shao
  • Hongfei Chen
  • Wenxiong Lin
Original paper

Abstract

Dry-raising rice seedlings in nurseries is a key technique in high-yield rice cultivation. The present study of morphological and physiological indexes showed dry-raised seedlings (DRS) had a shorter stature, more developed root systems, and significantly higher soluble sugar, starch, and N content than moist-raised seedlings (MRS), resulting in significantly increased grain yield. Compared to the MRS techniques, the dry-raised measures induced higher levels of abscisic acid (ABA), gibberellins (GA3), and indole-3-acetic acid (IAA) in leaves and roots of seedlings. We then utilized tandem mass tags (TMT) quantitative proteomics technology to analyze the mechanism by which rice exposed to the appropriate drought stress (dry-raised measures) during the seedling stage develop differently. Through mass spectrometry, we identified 281 significantly expressed proteins in roots and 268 in leaves. The differentially expressed proteins were then divided into 23 categories based on MapMan ontology. In addition, the hormonal-related protein expression patterns of DRS were confirmed with RT-PCR at the transcript level. On the basis of these findings, we proposed that appropriate drought stress during the rice seedling stage can change the expression of key proteins involved in nitrogen uptake and translocation, hormone synthesis, photosynthesis, and CHO metabolic processes, thus regulating rice seedling growth. In this process, the differentially expressed key proteins, such as the 14-3-3 protein, GTP-binding protein, and calcium, play important roles in transduction of signals regarding soil drought, and the upregulated heat shock protein, glutathione S-transferases, and peroxidases function in enhancing the stress tolerance of the seedlings under dry-raising nursery conditions. This study established the high yielding mechanism of dry-raised cultivates methods during seedling stage at the protein expression level.

Keywords

Rice Seedling Dry-raising nursery Quantitative proteomics 

Abbreviations

TMT

Tandem mass tags

HPLC

High-performance liquid chromatography

DRS

Dry-raising seedlings

MRS

Moist-raising seedlings

TCA

Tricarboxylic acid cycle

NR1

Nitrate reductase 1

NiR

Nitrite reductase

GS

Glutamine synthetase

GSRI2

Glutamine synthetase root isozyme 2

ABA

Abscisic acid

GA3

Gibberellins

IAA

Indole-3-acetic acid

JA

Jasmonate

HSP

Heat shock proteins

GST

Glutathione S transferases

TEAB

Triethylammonium bicarbonate

RT

Room temperature

MS

Mass spectrometer

RAP-DB

Rice Genome Annotation Project database

GOGAT

Glutamate synthase

AAO

Abscisic aldehyde oxidase

CCD1

Carotenoid cleavage dioxygenase 1

ILL1

IAA-Amino acid hydrolase ILR1

GA20OX2

Gibberellin 20 oxidase 2

LOX2.3

Lipoxygenase 2.3

AOC 4

Allene oxide cyclase 4

ACCO

1-Aminocyclopropane-1-carboxylate oxidase

OPR2

12-Oxophytodienoate reductase 2

Notes

Acknowledgements

This work was sponsored by the National Natural Science Foundation of China (No. 31401306), the Fujian-Taiwan Joint Innovative Centre for Germplasm Resources and cultivation of crop (Fujian 2011 Program, No. 2015-75), the National Key Research and Development Program of China (2016YFD0300508) and the Natural Foundation of Fujian Higher Education Institutions for Young Scientists (Key Project) (JZ160435).

Supplementary material

10725_2017_347_MOESM1_ESM.docx (13 kb)
Table S1: The RT-PCR primer of hormonal-related genes. (DOCX 19 KB)
10725_2017_347_MOESM2_ESM.docx (14 kb)
Table S2: Effects of different seedling-raising ways on rice grain yield and its components. (DOCX 14 KB)
10725_2017_347_MOESM3_ESM.xlsx (303 kb)
The detailed information of the 2918 root proteins from the Rice Genome Annotation Project database (RAP-DB). (XLSX 302 KB)
10725_2017_347_MOESM4_ESM.xlsx (308 kb)
The detailed information of the 2674 leaf proteins from the Rice Genome Annotation Project database (RAP-DB). (XLSX 308 KB)
10725_2017_347_MOESM5_ESM.xls (93 kb)
Functional categories of the 281 root proteins according to MapMan ontology (XLS 93 KB)
10725_2017_347_MOESM6_ESM.xlsx (29 kb)
Functional categories of the 268 leaf proteins according to MapMan ontology (XLSX 29 KB)
10725_2017_347_MOESM7_ESM.docx (1.5 mb)
Figure S1: MapMan overview of leaf photosynthesis proteins with significant differences in abundance in dry-raised seedlings. (DOCX 1502 KB)

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2017

Authors and Affiliations

  • Zhixing Zhang
    • 1
    • 2
  • Fenglian Huang
    • 1
    • 2
  • CaiHong Shao
    • 3
  • Hongfei Chen
    • 1
    • 2
  • Wenxiong Lin
    • 1
    • 2
  1. 1.Fujian Provincial Key Laboratory of Agroecological Processing and Safety Monitoring, College of Life SciencesFujian Agriculture and Forestry UniversityFuzhouPeople’s Republic of China
  2. 2.Key Laboratory of Crop Ecology and Molecular Physiology (Fujian Agriculture and Forestry University)Fujian Province UniversityFuzhouPeople’s Republic of China
  3. 3.Soil and Fertilizer & Resources and Environment InstituteJiangxi Academy of Agricultural SciencesNanchangPeople’s Republic of China

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