Welcome to Acta Agronomica Sinica,

Acta Agron Sin ›› 2017, Vol. 43 ›› Issue (10): 1489-1498.doi: 10.3724/SP.J.1006.2017.01489

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

Transcriptome Analysis of Promotive Effects of Active Carbon on Growth and Development of Maize Seedlings from in vitro Cultured Immature Embryos

WANG Jin-Ping1,2,SUN Guo-Zhong2,*,WANG Hai-Bo2,*   

  1. 1 College of Agriculture, Agricultural University of Hebei, Baoding 071001, China; 2 Institute of Genetics and Physiology, Hebei Academy of Agriculture and Forestry Sciences / Plant Genetic Engineering Center of Hebei Province, Shijiazhuang 050051, China
  • Received:2017-03-21 Revised:2017-04-20 Online:2017-10-12 Published:2017-05-08
  • Contact: Sun Guozhong, E-mail: 13933023804@163.com;Wang Haibo, E-mail: nkywanghb@163.com E-mail:15612153108@163.com
  • Supported by:

    This study was supported by the Financial Fund Program of Hebei Province (2009055001, F15R25).

Abstract:

Immature embryos from the maize inbred line Chang 7-2 were collected at 14 days after pollination, and cultured on MS or MSA medium (MS medium plus active carbon) for nine days at 24°C. Active carbon significantly accelerated the growth and development of maize seedlings from cultured immature embryos. Using RNA-seq technique, the genes involved in the growth promotive effects of active carbon were analyzed. The presence of active carbon in the medium affected the gene expression in seedlings. Number of up- and down-regulated genes was 1612 and 530 in roots, as well as 69 and 78 in shoots, respectively, indicating that active carbon mainly affects gene expression in roots. GO enrichment analysis showed that differentially expressed genes (DEGs) in roots were mainly involved in DNA packaging, DNA packaging complex and hydrolase activity; the DEGs in shoots were mainly involved in lipid metabolic process, extracellular region and peroxidase activity. The KEGG enrichment analysis showed that the DEGs in roots were significantly associated with energy metabolism, carbohydrate metabolism, lipid metabolism, amino acid metabolism, cell cycle and plant hormone signal transduction. The DEGs in shoots were significantly associated with biosynthesis of ubiquinone and other terpenoid-quinone compounds. Several key genes involved in the cell cycle pathway (i.e., CYC, CDH1, MCM3, PCNA2, and BUB1), signal transduction of auxin (Aux/IAA) and cytochrome function (CYP450 oxidase) were significantly up-regulated by active carbon. Ten DEGs were confirmed by Real-time quantitative PCR assay, suggesting that our data and analysis of transcriptome sequencing are reliable.

Key words: Maize, Immature embryo, Active carbon, Transcriptome

[1]王海波, 王彦霞, 赵和. 如何加快作物遗传改良的速度. 河北农业科学, 2003, (7): 50–56 Wang H B, WangY X, Zhao H. How to accelerate the process of plant genetic modification. J Hebei Agric Sci, 2003, 7: 50–56 (in Chinese with English abstract) [2]Forster B P, Till B J, Ghanim A M A, Huynh H O A, Burstmayr H, Caligari P D S. Accelerated plant breeding. CAB Rev, 2014, 9: 1–16 [3]Yao Y, Zhang P, Wang H B, Lu Z Y, Liu C J, Liu H, Yan G J. How to advance up to seven generations of canola (Brassica napus L.) per annum for the production of pure line populations. Euphytica, 2016, 209: 113–119 [4]Liu H, Zwer P, Wang H B, Liu C J, Lu Z Y, Wang Y X, Yan G J. A fast generation cycling system for oat and triticale breeding. Plant Breed, 2016, 135: 574–579 [5]Bewley J D. Seed germination and dormancy. Plant cell, 1997, 9: 1055–1066 [6]Bove J, Jullien M, Grappin P. Functional genomics in the study of seed germination. Genome Biol, 2002, 3: 1002.1–1002.5 [7]Galland M, Huguet R, Arc E, Cueff G, Job D, Rajjou L. Dynamic proteomics emphasizes the importance of selective mRNA translation and protein turnover during Arabidopsis seed germination. Mol Cell Proteomics, 2014, 13: 252–268 [8]Rajjou L, Gallardo K, Debeaujon I, Vandekerckhove J, Job C, Job D. The effect of α-amanitin on the Arabidopsis seed proteome highlights the distinct roles of stored and neosynthesized mRNAs during germination. Plant Physiol, 2004, 134: 1598–1613 [9]Abraham Z, Fernández R I, Martinez M, Diaz I, Carbonero P, Vicente-Carbajosa J. A developmental switch of gene expression in the barley seed mediated by HvVP1 (Viviparous1) and HvGAMYB interactions. Plant Physiol, 2016, 170: 2146–2158 [10]Miransari M, Smith D L. Plant hormones and seed germination. Environ Exp Bot, 2014, 99: 110–121 [11]Umezawa T, Nakashima K, Miyakawa T, Kuromori T, Tanokura M, Shinozaki K, Yamaguchi-Shinozaki K. Molecular basis of the core regulatory network in ABA responses: sensing, signaling and transport. Plant Cell Physiol, 2010, 51: 1821–1839 [12]Weitbrecht K, Müller K, Leubner-Metzger G. First off the mark: early seed germination. J Exp Bot, 2011, 62: 3289–3309 [13]Sun T. Gibberellin-GID1-DELLA: a pivotal regulatory module for plant growth and development. Plant Physiol, 2010, 154: 567–570 [14]Pan M J, van Staden J. The use of charcoal in in vitro culture: a review. Plant Growth Regul, 1998, 26: 155–163 [15]Thomas T D. The role of activated charcoal in plant tissue culture. Biotechnol Adv, 2008, 26: 618–631 [16]Mittal P, Devi R, Gosal S S. Effect of genotypes and activated charcoal on high frequency in vitro plant regeneration in sugarcane. Ind J Biotechnol, 2016, 15: 261–265 [17]Fridborg G, Pedersén M, Landstr?m LE, Eriksson T. The effect of activated charcoal on tissue cultures: adsorption of metabolites inhibiting morphogenesis. Physiol Plant, 1978, 43: 104–106 [18]Manchanda P, Gosal S S. Effect of activated charcoal, carbon sources and gelling agents on direct somatic embryogenesis and regeneration in sugarcane via leaf roll segments. Sugar Tech, 2012, 14: 168–173 [19]Nguyen T V, Thu T T, Claeys M, Angenon G. Agrobacterium-mediated transformation of sorghum (Sorghum bicolor (L.) Moench) using an improved in vitro regeneration system. Plant Cell Tissue Organ Cult, 2007, 91: 155–164 [20]Ebert A, Taylor F, Blake J. Changes of 6-benzylaminopurine and 2, 4-dichlorophenoxyacetic acid concentrations in plant tissue culture media in the presence of activated charcoal. Plant Cell Tissue Organ Cult, 1993, 33: 157–162 [21]Ebert A, Taylor H F. Assessment of the changes of 2, 4-dichlorophenoxyacetic acid concentrations in plant tissue culture media in the presence of activated charcoal. Plant Cell Tissue Organ Cult, 1990, 20: 165–172 [22]Halhouli K A, Darwish N A, Al-Dhoon N M. Effects of pH and inorganic salts on the adsorption of phenol from aqueous systems on activated decolorizing charcoal. Separat Sci Technol, 1995, 30: 3313–3324 [23]Nissen S J, Sutter E G. Stability of IAA and IBA in nutrient medium to several tissue culture procedures. Hortscience, 1990, 25: 800–802 [24]Wang Z, Gerstein M, Snyder M. RNA-Seq: a revolutionary tool for transcriptomics. Nat Rev Genet, 2009, 10: 57–63 [25]Trapnell C, Hendrickson D G, Sauvageau M, Goff L, Rinn J, Pachter L. Differential analysis of gene regulation at transcript resolution with RNA-seq. Nat Biotechnol, 2013, 31: 46–53 [26]Costa V, Angelini C, De F I, Ciccodicola A. Uncovering the complexity of transcriptomes with RNA-Seq. J Biomed Biotechnol, 2010, 2010: 853916 [27]Murashige T, Skoog F. A revised medium for rapid growth and bio assays with tobacco tissue cultures. Physiol Plant, 1962, 15: 473–497 [28]Aken B L, Ayling S, Barrell D, Clarke L, Curwen V, Fairley S, Fernandez Banet J, Billis K, García Girón C, Hourlier T, Howe K, H?h?ri A, Kokocinski F, Martin F J, Murphy D N, Nag R, Ruffier M, Schuster M, Tang Y A, Vogel J H, White S, Zadissa A, Flicek P, Searle S M. The Ensembl gene annotation system. Database (Oxford), 2016, 2016: baw093 [29]Trapnell C, Pachter L, Salzberg S L. TopHat: discovering splice junctions with RNA-Seq. Bioinformatics, 2009, 25: 1105–1111 [30]Trapnell C, Roberts A, Goff L, Pertea G, Kim D, Kelley D R, Pimentel H, Salzberg S, Rinn J, Pachter L. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. Nat Protocols, 2012, 7: 562–578 [31]Anders S, Pyl P T, Huber W. HTSeq--a Python framework to work with high-throughput sequencing data. Bioinformatics, 2015, 31: 166–169 [32]Love M I, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol, 2014, 15: 550 [33]Wang L, Feng Z, Wang X, Wang X, Zhang X. DEGseq: an R package for identifying differentially expressed genes from RNA-seq data. Bioinformatics, 2010, 26: 136–138 [34]Ashburner M, Ball C A, Blake J A, Botstein D, Butler H, Cherry J M, Davis A P, Dolinski K, Dwight S S, Eppig J T, Harris M A, Hill D P, Issel-Tarver L, Kasarskis A, Lewis S, Matese J C, Richardson J E, Ringwald M, Rubin G M, Sherlock G. Gene Ontology: tool for the unification of biology. Nat Genet, 2000, 25: 25–29 [35]Kanehisa M, Goto S. KEGG: Kyoto encyclopedia of genes and genomes. Nucl Acids Res, 2000, 28: 27–30 [36]Kanehisa M, Goto S, Sato Y, Kawashima M, Furumichi M, Tanabe M. Data, information, knowledge and principle: back to metabolism in KEGG. Nucl Acids Res, 2014, 42 (database issue): D199–D205 [37]Jenuwein T, Allis C D. Translating the histone code. Science, 2001, 293: 1074–1080 [38]Kouzarides T. Chromatin modifications and their function. Cell, 2007, 128: 693–705 [39]Baumann K. Genome stability: Cyclin’on mRNA. Nat Rev Mol Cell Biol, 2016, 17: 676–677 [40]Maga G, Hübscher U. Proliferating cell nuclear antigen (PCNA): a dancer with many partners. J Cell Sci, 2003, 116: 3051–3060 [41]Georgescu R, Langston L, O'Donnell M. A proposal: Evolution of PCNA’s role as a marker of newly replicated DNA. DNA Repair, 2015, 29: 4–15 [42]Strzalka W, Ziemienowicz A. Proliferating cell nuclear antigen (PCNA): a key factor in DNA replication and cell cycle regulation. Ann Bot, 2011, 107: 1127–1140 [43]Labib K, Tercero J A, Diffley J F X. Uninterrupted MCM2-7 function required for DNA replication fork progression. Science, 2000, 288: 1643–1647 [44]Wei L, Zhao X. A new MCM modification cycle regulates DNA replication initiation. Nat Struct Mol Biol, 2016, 23: 209–216 [45]Helariutta Y, Fukaki H, Wysocka-Diller J, Nakajima K, Jung J, Sena G, Hauser M, Benfey P N. The SHORT-ROOT gene controls radial patterning of the Arabidopsis root through radial signaling. Cell, 2000, 101: 555–567 [46]Grimplet J, Agudelo-Romero P, Teixeira R T, Teixeira R T, Martinez-Zapater J M, Fortes A M. Structural and functional analysis of the GRAS gene family in grapevine indicates a role of GRAS proteins in the control of development and stress responses. Front Plant Sci, 2016, 7: 353 [47]Woodward A W, Bartel B. Auxin: regulation, action, and interaction. Ann Bot, 2005, 95: 707–735 [48]Zhao Y. Auxin biosynthesis and its role in plant development. Annu Rev Plant Biol, 2010, 61: 49–64 [49]Abel S, Theologis A. Early genes and auxin action. Plant Physiol, 1996, 111: 9–17 [50]Rivas-San Vicente M, Plasencia J. Salicylic acid beyond defence: its role in plant growth and development. J Exp Bot, 2011, 62: 3321–3338 [51]Janda M, Ruelland E. Magical mystery tour: Salicylic acid signalling. Environ Exp Bot, 2015, 114: 117–128 [52]Johnson C, Boden E and Arias J. Salicylic acid and NPR1 induce the recruitment of trans-activating TGA factors to a defense gene promoter in Arabidopsis. Plant Cell, 2003, 15: 1846–1858 [53]Bernhardt R. Cytochromes P450 as versatile biocatalysts. J Biotechnol, 2006, 124: 128–145
[1] WANG Dan, ZHOU Bao-Yuan, MA Wei, GE Jun-Zhu, DING Zai-Song, LI Cong-Feng, ZHAO Ming. Characteristics of the annual distribution and utilization of climate resource for double maize cropping system in the middle reaches of Yangtze River [J]. Acta Agronomica Sinica, 2022, 48(6): 1437-1450.
[2] YANG Huan, ZHOU Ying, CHEN Ping, DU Qing, ZHENG Ben-Chuan, PU Tian, WEN Jing, YANG Wen-Yu, YONG Tai-Wen. Effects of nutrient uptake and utilization on yield of maize-legume strip intercropping system [J]. Acta Agronomica Sinica, 2022, 48(6): 1476-1487.
[3] CHEN Jing, REN Bai-Zhao, ZHAO Bin, LIU Peng, ZHANG Ji-Wang. Regulation of leaf-spraying glycine betaine on yield formation and antioxidation of summer maize sowed in different dates [J]. Acta Agronomica Sinica, 2022, 48(6): 1502-1515.
[4] SHAN Lu-Ying, LI Jun, LI Liang, ZHANG Li, WANG Hao-Qian, GAO Jia-Qi, WU Gang, WU Yu-Hua, ZHANG Xiu-Jie. Development of genetically modified maize (Zea mays L.) NK603 matrix reference materials [J]. Acta Agronomica Sinica, 2022, 48(5): 1059-1070.
[5] XU Jing, GAO Jing-Yang, LI Cheng-Cheng, SONG Yun-Xia, DONG Chao-Pei, WANG Zhao, LI Yun-Meng, LUAN Yi-Fan, CHEN Jia-Fa, ZHOU Zi-Jian, WU Jian-Yu. Overexpression of ZmCIPKHT enhances heat tolerance in plant [J]. Acta Agronomica Sinica, 2022, 48(4): 851-859.
[6] LIU Lei, ZHAN Wei-Min, DING Wu-Si, LIU Tong, CUI Lian-Hua, JIANG Liang-Liang, ZHANG Yan-Pei, YANG Jian-Ping. Genetic analysis and molecular characterization of dwarf mutant gad39 in maize [J]. Acta Agronomica Sinica, 2022, 48(4): 886-895.
[7] YAN Yu-Ting, SONG Qiu-Lai, YAN Chao, LIU Shuang, ZHANG Yu-Hui, TIAN Jing-Fen, DENG Yu-Xuan, MA Chun-Mei. Nitrogen accumulation and nitrogen substitution effect of maize under straw returning with continuous cropping [J]. Acta Agronomica Sinica, 2022, 48(4): 962-974.
[8] XU Ning-Kun, LI Bing, CHEN Xiao-Yan, WEI Ya-Kang, LIU Zi-Long, XUE Yong-Kang, CHEN Hong-Yu, WANG Gui-Feng. Genetic analysis and molecular characterization of a novel maize Bt2 gene mutant [J]. Acta Agronomica Sinica, 2022, 48(3): 572-579.
[9] SONG Shi-Qin, YANG Qing-Long, WANG Dan, LYU Yan-Jie, XU Wen-Hua, WEI Wen-Wen, LIU Xiao-Dan, YAO Fan-Yun, CAO Yu-Jun, WANG Yong-Jun, WANG Li-Chun. Relationship between seed morphology, storage substance and chilling tolerance during germination of dominant maize hybrids in Northeast China [J]. Acta Agronomica Sinica, 2022, 48(3): 726-738.
[10] QU Jian-Zhou, FENG Wen-Hao, ZHANG Xing-Hua, XU Shu-Tu, XUE Ji-Quan. Dissecting the genetic architecture of maize kernel size based on genome-wide association study [J]. Acta Agronomica Sinica, 2022, 48(2): 304-319.
[11] YAN Yan, ZHANG Yu-Shi, LIU Chu-Rong, REN Dan-Yang, LIU Hong-Run, LIU Xue-Qing, ZHANG Ming-Cai, LI Zhao-Hu. Variety matching and resource use efficiency of the winter wheat-summer maize “double late” cropping system [J]. Acta Agronomica Sinica, 2022, 48(2): 423-436.
[12] ZHANG Qian, HAN Ben-Gao, ZHANG Bo, SHENG Kai, LI Lan-Tao, WANG Yi-Lun. Reduced application and different combined applications of loss-control urea on summer maize yield and fertilizer efficiency improvement [J]. Acta Agronomica Sinica, 2022, 48(1): 180-192.
[13] YU Rui-Su, TIAN Xiao-Kang, LIU Bin-Bin, DUAN Ying-Xin, LI Ting, ZHANG Xiu-Ying, ZHANG Xing-Hua, HAO Yin-Chuan, LI Qin, XUE Ji-Quan, XU Shu-Tu. Dissecting the genetic architecture of lodging related traits by genome-wide association study and linkage analysis in maize [J]. Acta Agronomica Sinica, 2022, 48(1): 138-150.
[14] LI Ling-Hong, ZHANG Zhe, CHEN Yong-Ming, YOU Ming-Shan, NI Zhong-Fu, XING Jie-Wen. Transcriptome profiling of glossy1 mutant with glossy glume in common wheat (Triticum aestivum L.) [J]. Acta Agronomica Sinica, 2022, 48(1): 48-62.
[15] ZHAO Xue, ZHOU Shun-Li. Research progress on traits and assessment methods of stalk lodging resistance in maize [J]. Acta Agronomica Sinica, 2022, 48(1): 15-26.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!