泡桐丛枝病发生与代谢组变化的关系

doi:10.11707/j.1001-7488.20170610

Abstract

Abstract: [Objective] Paulownia witches' broom caused by phytoplasma can lead to severe damage to the survival and wood production of Paulownia trees, which can result in a significant economic loss. This study aims to explore the relationship between metabolites variation and Paulownia witches' broom using metabolomic analysis.[Method] High performance liquid chromatography-mass spectrometry (HPLC-MS) were used to analyze variation in the metabolite of healthy and phytoplasma-infected Paulownia tomentosa seedlings, differentially expressed m/z peaks were selected using principal component analysis and partial least squares-discriiminate analysis, then the differentially expressed m/z peaks detected by MS were mapped to KEGG metabolites database to find the changes of metabolite content and species in response to phytoplasma infection. [Result] The result showed that 1 612 metabolites were differentially expressed, among which 765 metabolites have a decreased concentration in phytoplasma-infected seedlings compared to healthy seedlings, and 847 metabolites are on the contrary. KEGG pathway analysis showed that 460 differentially expressed metabolites were mapped to 111 KEGG pathways. The most significantly represent category among the assigned pathways was "isoquinoline alkaloid biosynthesis", followed by "diterpenoid biosynthesis" and "flavonoid biosynthesis". Metabolites which are involved in plant hormones signal transduction and flavonoid biosynthesis were identified to be related to plant's response to phytoplasma infection. Among them, the concentrations of zeatin, zeatin riboside, gibberellin, dihydrozeatin riboside, pelargonidin, apigenin and cyanidin changed significantly in phytoplasma-infected seedlings compared with the healthy ones, suggesting that variations in concentrations of these metabolites might be related to PaWB. [Conclusion] Variation in metabolite concentrations among the healthy and phytoplasma-infected seedlings can help reveal the candidate metabolites and inherent pathways that are potentially involved in PaWB. This study will provide new insight into the role of metabolites in Paulownia and other trees in response to phytoplasma infection.

Key words: Paulownia tomentosa, metabolomics, witches' broom, plant hormones, anthocyanin

CLC Number:

S763.11

Cao Yabing, Zhai Xiaoqiao, Deng Minjie, Zhao Zhenli, Fan Guoqiang. Relationship between Metabolites Variation and Paulownia Witches' Broom[J]. Scientia Silvae Sinicae, 2017, 53(6): 85-93.

References

Allwood J W, Ellis D I, Goodacre R. 2008. Metabolomic technologies and their application to the study of plants and plant-host interactions. Physiol Plantarum, 132(2):117-135.
Ates S, Ni Y, Akgul M,et al. 2008. Characterization and evaluation of Paulownia elongota as a raw material for paper production. Afr J Biotechnol, 7(22):4153-4158.
Bayliss K L, Saqib M, Dell B,et al. 2005. First record of'Candidatus Phytoplasma australiense' in Paulownia trees. Australas Plant Path, (1):123-124.
Berli F J, Moreno D, Piccoli P,et al. 2010. Abscisic acid is involved in the response of grape (Vitis vinifera L.) cv. Malbec leaf tissues to ultraviolet-B radiation by enhancing ultraviolet-absorbing compounds, antioxidant enzymes and membrane sterols. Plant Cell Environ, 33(1):1-10.
Cao X B, Fan G Q, Deng M J,et al. 2014a. Identification of genes related to Paulownia witches' broom by AFLP and MSAP. Int J Mol Sci, 15(8):14669-14683.
Cao X B, Fan G Q, Zhai X Q. 2012. Morphological changes of the witches' broom seedlings of Paulownia tomentosa treated with methyl methanesulphonate and SSR analysis. Acta Phytopathologica Sin, 42(2):214-218. [in Chniese]
Cao X B, Fan G Q, Zhao Z L,et al. 2014b. Morphological changes of paulownia seedlings infected phytoplasmas reveal the genes associated with witches' broom through AFLP and MSAP. PLoS One, 9(10):e112533.
DiLeo M V, Strahan G D, den Bakker M,et al. 2011. Weighted correlation network analysis (WGCNA) applied to the tomato fruit metabolome. PLoS One, 6(10):e26683.
Durrant W E, Rowland O, Piedras P,et al. 2000. cDNA-AFLP reveals a striking overlap in race-specific resistance and wound response gene expression profiles. The Plant Cell Online, 12(6):963-977.
Fan G Q, Dong Y P, Deng M J,et al. 2014. Plant-pathogen interaction, circadian rhythm, and hormone-related gene expression provide indicators of phytoplasma infection in Paulownia fortunei. Int J Mol Sci, 15(12):23141-23162.
Fan G Q, Zhang S, Zhai X Q,et al. 2007. Effects of antibiotics on the Paulownia witches' broom phytoplasmas and pathogenic protein related to witches' broom symptom. Sci Silv Sin, 43(3):138-142.[in Chniese]
Gai Y P, Han X J, Li Y Q,et al. 2014. Metabolomic analysis reveals the potential metabolites and pathogenesis involved in mulberry yellow dwarf disease. Plant Cell Environ, 37(6):1474-1490.
Gould K S, McKelvie J, Markham K R. 2002. Do anthocyanins function as antioxidants in leaves? Imaging of H₂O₂ in red and green leaves after mechanical injury. Plant Cell Environ, 25(10):1261-1269.
Hren M, Nikolic P, Rotter A,et al. 2009.'Bois noir' phytoplasma induces significant reprogramming of the leaf transcriptome in the field grown grapevine. BMC Genomics, 10(1):460.
Hu J X, Tian G Z, Lin C L, et al. 2013. Cloning, expression and characterization of tRNA-isopentenyltransferase genes (tRNA-ipt) from paulownia witches'-broom phytoplasma. Acta Microbiologica Sinica, 53(8):832-841.[in Chniese]
Ipekci Z, Gozukirmizi N. 2003. Direct somatic embryogenesis and synthetic seed production from Paulownia elongata. Plant Cell Rep, 22(1):16-24.
Ji X, Gai Y P, Zheng C,et al. 2009. Comparative proteomic analysis provides new insights into mulberry dwarf responses in mulberry (Morus alba L.). Proteomics, 9(23):5328-5339.
Jin K X, Liang C J, Deng D L. 1981.A study of the insect vectors of witches' broom in Paulownia trees. Linye Keji Tongxun, (12): 23-24.
Krall L, Huege J, Catchpole G,et al. 2009. Assessment of sampling strategies for gas chromatography-mass spectrometry (GC-MS) based metabolomics of cyanobacteria. J Chromatogr B, 877(27):2952-2960.
Lee I M, Hammond R E, Davis R E,et al. 1993. Universal amplification and analysis of pathogen 16S rDNA for classification and identification of mycoplasmalike organisms. Phytopathology, 83(8):834-42.
Liu L Y, Tseng H I, Lin C P, et al. 2014. High-throughput transcriptome analysis of the leafy flower transition of Catharanthus roseus induced by peanut witches'-broom phytoplasma infection. Plant Cell Physiol, 55(5):942-957.
Liu R N, Dong Y P, Fan G Q,et al. 2013. Discovery of genes related to witches broom disease in Paulownia tomentosa×Paulownia fortunei by a De Novo assembled transcriptome. PLoS One, 8(11):e80238.
Luan H, Chen X M, Zhong S L,et al. 2013. Serum metabolomics reveals lipid metabolism variation between coronary artery disease and congestive heart failure: a pilot study. Biomarkers, 18(4):314-321.
Margaria P, Ferrandino A, Caciagli P, et al. 2014. Metabolic and transcript analysis of the flavonoid pathway in diseased and recovered Nebbiolo and Barbera grapevines (Vitis vinifera L.) following infection by Flavescence doree phytoplasma. Plant Cell Environ, 37(9):2183-2200.
Moreau S, Fromentin J, Vailleau F,et al. 2014. The symbiotic transcription factor MtEFD and cytokinins are positively acting in the Medicago truncatula and Ralstonia solanacearum pathogenic interaction. New Phytol, 201(4):1343-1357.
Mou H Q, Lu J, Zhu S F,et al. 2013. Transcriptomic analysis of Paulownia infected by Paulownia witches'-broom phytoplasma. PLoS One, 8(10):e77217.
Namba S. 2002. Molecular biological studies on phytoplasmas.J Gen Plant Pathol, 68(3):257-259.
Niu S Y, Fan G Q, Deng M J,et al. 2016. Discovery of microRNAs and transcript targets related to witches' broom disease in Paulownia fortunei by high-throughput sequencing and degradome approach. Mol Genet Genomics, 291(1):181-191.
Orchard J, Collin H, Hardwick K,et al. 1994. Changes in morphology and measurement of cytokinin levels during the development of witches' brooms on cocoa. Plant Pathol, 43(1):65-72.
Roessner U, Wagner C, Kopka J,et al. 2000. Simultaneous analysis of metabolites in potato tuber by gas chromatography-mass spectrometry. Plant J, 23(1):131-142.
Rural Industry Business Services. 1998.Paulownia: a commercial overview. Queensland:Department of Primary Industries.
Scarpari L M, Meinhardt L W, Mazzafera P,et al. 2005. Biochemical changes during the development of witches' broom: the most important disease of cocoa in Brazil caused by Crinipellis perniciosa. J exp bot, 56(413):865-877.
Schneiderová K, Šmejkal K. 2015.Phytochemical profile of Paulownia tomentosa (Thunb). Steud Phytochem Rev, 14(5): 799-833.
Sun Q, Zhou G, Sun H,et al. 2008. Effect of auxins on in vitro propagation of sour jujube infected by witches' broom phytoplasma. International Jujube Symposium, 840:303-308.
Torres M A, Jones J D E, Dangl J F. 2006. Reactive oxygen species signalling in response to pathogens. Plant Physiol, 141(2):373-378.
Ward J L, Baker J M, Beale M H. 2007. Recent applications of NMR spectroscopy in plant metabolomics. FEBS J, 274 (5):1126-1131.
Wang J, Zhang X, Shi M,et al. 2014. Metabolomic analysis of the salt-sensitive mutants reveals changes in amino acid and fatty acid composition important to long-term salt stress in Synechocystis sp. PCC 6803. Funct Integr Genomic, 14(2):431-440.
Want E J, Wilson I D, Gika H,et al. 2010. Global metabolic profiling procedures for urine using UPLC-MS. Nature Protocols, 5(6):1005-1018.
Weintraub P G, Jones P. 2010. Phytoplasmas: genomes, plant hosts and vectors. Wallingford:CABI.
Wilson I D, Plumb R, Granger J. 2005.HPLC-MS-based methods for the study of metabonomics. J Chromatogr B, 817(1):67-76.
Xu S, Sun Y M, Jia Z C, et al. 2009. Effect of overexpression of IPT and KN1 on development and growth of transgenic tobacco plants. Plant Physiol Commun, 45(6):537-543.
Zhang Y Z, Cao X B, Zhai X Q,et al. 2009. Study on DNA extraction of AFLP reaction system for Paulownia plants. J Henan Agric Univ, 43(6):610-614.[in Chinese]
Zipfel C, Robatzek S. 2010.Pathogen-associated molecular pattern-triggered immunity: veni, vidi...? Plant Physiol, 154(2):551-554.

[1]	Liu Guo, Chen Hongpeng, Wu Zhihua, Peng Yan, Xie Yaojian. Analyses of Seed Development of Plukenetia volubilis by Joint Metabolomics and Transcriptomics Approaches [J]. Scientia Silvae Sinicae, 2019, 55(5): 169-179.
[2]	Hou Yahui, Yan Shanchun, Li Zhiqiang. Synergistic Effect of Antioxidants and Hydroquinoneas on the Attractants and Induced Metabolism of Formosan subterranean termite, Coptotermes formosanus (Isoptera: Rhinotermitidae) [J]. Scientia Silvae Sinicae, 2018, 54(9): 97-103.
[3]	Zhang Qin, Xu Zongda, Zhao Kai, Li Xiaowei, Zhang Luosha, Zhang Qixiang. Isolation and Biological Function Analysis of Anthocyanin Regulatory Gene PmMYB1 from Prunus mume [J]. Scientia Silvae Sinicae, 2018, 54(10): 64-72.
[4]	Yu Jian, Zhao Aichun, Liu Changying, Liang Yanmei, Zhu Panpan, Cai Yuxiang, Wang Xiling, Li Zhengang, Yu Maode. Effects of Exogenous Ethylene and 1-MCP Treatments on the Expression of Genes Involved in Ethylene and Anthocyanin in Mulberry Fruit [J]. Scientia Silvae Sinicae, 2017, 53(2): 138-148.
[5]	Chen Zhiyu, Wu Pengfei, Zou Xianhua, Wang Pan, Ma Jing, Ma Xiangqing. Relationship between Growth and Endogenous Hormones of Chinese Fir Seedlings under Low Phosphorus Stress [J]. Scientia Silvae Sinicae, 2016, 52(2): 57-66.
[6]	Liu Changying, Li Jun, Zhao Aichun, Wang Xiling, Lü Ruihua, Wang Xiaohong, Lu Cheng, Yu Maode. Changes of Anthocyanin and Chlorophyll Content, and Expression Levels of Related Genes during Development Process of Mulberry Fruit [J]. Scientia Silvae Sinicae, 2014, 50(9): 59-66.
[7]	Zhang Jianhong, Chen Zhiying, Ruan Xiao, Zhang Yuzhu, Pan Cunde, Wang Qiang. Change of Endogenous Plant Hormones Contents during Seedling Growth of Picea schrenkiana Treated with DHAP [J]. Scientia Silvae Sinicae, 2014, 50(4): 121-128.
[8]	Shi Qianqian, Zhou Lin, Wang Yan. Isolation and Expression Analysis of GST Gene Encoding Glutathione S-Transferase of Paeonia delavayi var. lutea Wild Population in Yunnan [J]. Scientia Silvae Sinicae, 2014, 50(12): 63-72.
[9]	Li Xuefei;Han Tiantian;Dong Yan;Wu Man;Shen Xiang. Relationships between Spectral Reflectance and Pigment or Nitrogen Concentrations in Leaves of Padus virginiana‘Schubert’ [J]. Scientia Silvae Sinicae, 2011, 47(8): 75-81.
[10]	Ge Yuxuan;Wang Liangsheng;Zhou Xiaohong;Gan Changqing. Correlation between the Leaf Color and Pigments Composition of Cotinus coggygria in Fragrant Hills Park and Their Temporal and Spatial Variation [J]. Scientia Silvae Sinicae, 2011, 47(4): 38-42.
[11]	Xu Lili;Jiang Weibing;Han Jian;Weng Mangling;Cheng Chunyan;Hua Xiangping. Effects of Foliage Spray of KH₂PO₄ and Socrose Solution on Changes of Pigments and Net Photosynthetic Rate in Leaves of Red-leaf Peach in Early Summer [J]. Scientia Silvae Sinicae, 2011, 47(3): 170-174.
[12]	Li Xuefei;Hu Jingjing;Wang Qingju;Shen Xiang;Mao Zhiquan. Effects of Spraying Microelement on Anthocyanin and the Relevant Biosynthesis Enzymes in Prunus persica f. atropurpurea Leaves [J]. Scientia Silvae Sinicae, 2010, 46(12): 75-79.
[13]	Wen Qiaofu;Shen Hongxiang;Yao Yuncong;Tian Ji;Song Tingting. Cloning and Expression of McDFR gene in the Different Foliar Color Cultivars of Maluscrabapple [J]. Scientia Silvae Sinicae, 2010, 46(11): 16-24.
[14]	Geng Hui;Shen Hongxiang;Yao Yuncong;Tian Ji;Song Tingting. Cloning of McCHI Gene of Malus Crabapple and Its Expression Analysis in the Cultivars with Different Type Foliar Color [J]. Scientia Silvae Sinicae, 2010, 46(10): 42-49.
[15]	Feng Lijuan;Yuan Zhaohe;Yin Yanlei;Zhao Xueqing;Xu Xinke;Xu Rong;Li Zifeng. Anthocyanin Content and the Relevant Enzymes Activities during Leaf Color Changing of Two Acer Species [J]. Scientia Silvae Sinicae, 2009, 12(8): 56-60.

Relationship between Metabolites Variation and Paulownia Witches' Broom

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments