Literature DB >> 27048574

iTRAQ-based analysis of developmental dynamics in the soybean leaf proteome reveals pathways associated with leaf photosynthetic rate.

Jun Qin1,2, Jianan Zhang3, Duan Liu4, Changcheng Yin5, Fengmin Wang1, Pengyin Chen6, Hao Chen5, Jinbing Ma2, Bo Zhang7, Jin Xu8, Mengchen Zhang9.   

Abstract

Photosynthetic rate which acts as a vital limiting factor largely affects the potential of soybean production, especially during the senescence phase. However, the physiological and molecular mechanisms that underlying the change of photosynthetic rate during the developmental process of soybean leaves remain unclear. In this study, we compared the protein dynamics during the developmental process of leaves between the soybean cultivar Hobbit and the high-photosynthetic rate cultivar JD 17 using the iTRAQ (isobaric tags for relative and absolute quantification) method. A total number of 1269 proteins were detected in the leaves of these two cultivars at three different developmental stages. These proteins were classified into nine expression patterns depending on the expression levels at different developmental stages, and the proteins in each pattern were also further classified into three large groups and 20 small groups depending on the protein functions. Only 3.05-6.53 % of the detected proteins presented a differential expression pattern between these two cultivars. Enrichment factor analysis indicated that proteins involved in photosynthesis composed an important category. The expressions of photosynthesis-related proteins were also further confirmed by western blotting. Together, our results suggested that the reduction in photosynthetic rate as well as chloroplast activity and composition during the developmental process was a highly regulated and complex process which involved a serial of proteins that function as potential candidates to be targeted by biotechnological approaches for the improvement of photosynthetic rate and production.

Entities:  

Keywords:  Photosynthesis; Proteome; Soybean; iTRAQ

Mesh:

Substances:

Year:  2016        PMID: 27048574     DOI: 10.1007/s00438-016-1202-3

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  30 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Validating clustering for gene expression data.

Authors:  K Y Yeung; D R Haynor; W L Ruzzo
Journal:  Bioinformatics       Date:  2001-04       Impact factor: 6.937

3.  Genesis: cluster analysis of microarray data.

Authors:  Alexander Sturn; John Quackenbush; Zlatko Trajanoski
Journal:  Bioinformatics       Date:  2002-01       Impact factor: 6.937

4.  The Gene Ontology (GO) database and informatics resource.

Authors:  M A Harris; J Clark; A Ireland; J Lomax; M Ashburner; R Foulger; K Eilbeck; S Lewis; B Marshall; C Mungall; J Richter; G M Rubin; J A Blake; C Bult; M Dolan; H Drabkin; J T Eppig; D P Hill; L Ni; M Ringwald; R Balakrishnan; J M Cherry; K R Christie; M C Costanzo; S S Dwight; S Engel; D G Fisk; J E Hirschman; E L Hong; R S Nash; A Sethuraman; C L Theesfeld; D Botstein; K Dolinski; B Feierbach; T Berardini; S Mundodi; S Y Rhee; R Apweiler; D Barrell; E Camon; E Dimmer; V Lee; R Chisholm; P Gaudet; W Kibbe; R Kishore; E M Schwarz; P Sternberg; M Gwinn; L Hannick; J Wortman; M Berriman; V Wood; N de la Cruz; P Tonellato; P Jaiswal; T Seigfried; R White
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

5.  Characterization of transcriptional complexity during berry development in Vitis vinifera using RNA-Seq.

Authors:  Sara Zenoni; Alberto Ferrarini; Enrico Giacomelli; Luciano Xumerle; Marianna Fasoli; Giovanni Malerba; Diana Bellin; Mario Pezzotti; Massimo Delledonne
Journal:  Plant Physiol       Date:  2010-01-29       Impact factor: 8.340

6.  Anatomical and transcriptional dynamics of maize embryonic leaves during seed germination.

Authors:  Wen-Yu Liu; Yao-Ming Chang; Sean Chun-Chang Chen; Chen-Hua Lu; Yeh-Hwa Wu; Mei-Yeh Jade Lu; Di-Rong Chen; Arthur Chun-Chieh Shih; Chiou-Rong Sheue; Hsuan-Cheng Huang; Chun-Ping Yu; Hsin-Hung Lin; Shin-Han Shiu; Maurice Sun-Ben Ku; Wen-Hsiung Li
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-19       Impact factor: 11.205

7.  On two photoreactions in system II of plant photosynthesis.

Authors:  D B Knaff; D I Arnon
Journal:  Biochim Biophys Acta       Date:  1971-03-02

8.  A systematic proteomic study of seed filling in soybean. Establishment of high-resolution two-dimensional reference maps, expression profiles, and an interactive proteome database.

Authors:  Martin Hajduch; Ashwin Ganapathy; Joel W Stein; Jay J Thelen
Journal:  Plant Physiol       Date:  2005-04       Impact factor: 8.340

9.  Differential gene expression in soybean leaf tissues at late developmental stages under drought stress revealed by genome-wide transcriptome analysis.

Authors:  Dung Tien Le; Rie Nishiyama; Yasuko Watanabe; Maho Tanaka; Motoaki Seki; Le Huy Ham; Kazuko Yamaguchi-Shinozaki; Kazuo Shinozaki; Lam-Son Phan Tran
Journal:  PLoS One       Date:  2012-11-19       Impact factor: 3.240

10.  Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists.

Authors:  Da Wei Huang; Brad T Sherman; Richard A Lempicki
Journal:  Nucleic Acids Res       Date:  2008-11-25       Impact factor: 16.971

View more
  6 in total

1.  Proteomic analysis of a plastid gene encoding RPS4 mutant in Chinese cabbage (Brassica campestris L. ssp. pekinensis).

Authors:  Xiaoyan Tang; Fengyan Shi; Yiheng Wang; Shengnan Huang; Ying Zhao; Hui Feng
Journal:  Funct Integr Genomics       Date:  2021-12-08       Impact factor: 3.410

2.  iTRAQ protein profile analysis of developmental dynamics in soybean [Glycine max (L.) Merr.] leaves.

Authors:  Jun Qin; Jianan Zhang; Fengmin Wang; Jinghua Wang; Zhi Zheng; Changcheng Yin; Hao Chen; Ainong Shi; Bo Zhang; Pengyin Chen; Mengchen Zhang
Journal:  PLoS One       Date:  2017-09-27       Impact factor: 3.240

3.  iTRAQ-Based Proteomics Analysis and Network Integration for Kernel Tissue Development in Maize.

Authors:  Long Zhang; Yongbin Dong; Qilei Wang; Chunguang Du; Wenwei Xiong; Xinyu Li; Sailan Zhu; Yuling Li
Journal:  Int J Mol Sci       Date:  2017-08-24       Impact factor: 5.923

4.  Dynamic changes of postprandial plasma metabolites after intake of corn-soybean meal or casein-starch diets in growing pigs.

Authors:  Tiantian Li; Shimeng Huang; Juntao Li; Hu Liu; Wei Wang; Na Li; Meng Shi; Shiyu Tao; Shuai Zhang; Zhen Li; Junjun Wang
Journal:  J Anim Sci Biotechnol       Date:  2019-05-28

5.  Translocation of Drought-Responsive Proteins from the Chloroplasts.

Authors:  Ping Li; Haoju Liu; Hong Yang; Xiaojun Pu; Chuanhong Li; Heqiang Huo; Zhaohui Chu; Yuxiao Chang; Yongjun Lin; Li Liu
Journal:  Cells       Date:  2020-01-20       Impact factor: 6.600

6.  Morphological observation and protein expression of fertile and abortive ovules in Castanea mollissima.

Authors:  Bingshuai Du; Qing Zhang; Qingqin Cao; Yu Xing; Ling Qin; Kefeng Fang
Journal:  PeerJ       Date:  2021-07-21       Impact factor: 2.984

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.