|
|
|
|
|
|
| Analysis of Content and Distribution of Lignin in Cell Wall of Transgenic Poplar with Fourier Infrared Spectrun (FTIR) and Confocal Laser Scanning Microscopy (CLSM) |
| LIU Cang-wei1, SU Ming-lei1, 2，ZHOU Xian-wu1, ZHAO Rong-jun1, LU Jian-xiong1, WANG Yu-rong1, 2* |
1. Research Institute of Wood Research, Chinese Academy of Forestry，Beijing 100091，China
2. Research Institute of Forestry New Technology, Chinese Academy of Forestry, Beijing 100091，China |
|
|
|
|
Abstract Lignin genetic engineering can effectively reduce the lignin content ofthe cell walls in poplars, while improving utilization characteristic of poplars as the lignocellulosic material. In this paper, the transgenic poplars with C3H downregulated and control poplars were selected. Fourier transform infrared (FTIR) spectroscopic was used to quickly characterize the lignin content and the other cell wall constituents of transgenic poplars with C3H-downregulated. CLSM and histochemistry reaction were used to reveal the influence of lignin content reduction on their micro-area distribution in situ. The results showed that the FTIR spectrum shape, the number and wavenumbers of characteristic bands of transgenic poplars and control poplars were similar which means that the reduction of C3H activity had no effect on the chemical composition of poplar cell walls. However, the height ratios of I1 508/I1 379，I1 508/I1 425，and I1 508/I1 740 associated with lignin content reduced 8.2% to 9.5% in transgenic poplars compared with control poplars. The difference in intensity of spectrum peaks between the transgenic poplars and the control poplars illustrated that the C3H-downregulated can change the cell wall constituents content of the transgenic poplars. The CLSM images showed that the micro-area distribution trends of the lignin of the cell walls in transgenic poplars and control poplars were similar, and the sequence of lignin distribution was the cell wall corner>the middle lamellar>the second cell wall, and the images also showed the lower lignin content of the cell walls in transgenic poplars than that of the control group. The Wiesner and Mule staining images also showed that S lignin monomer was uniformly distributed in fiber cell walls of the two kinds of poplars, and the G lignin monomer deposition was nonhomogeneous, the sequence was also the cell wall corner>the middle lamellar>the second cell wall. These results also illustrated that reducing the activity of C3H gene had no influence on distribution trend of G and S lignin monomer, but changed the lignin monomer content of the cell walls of fiber and vessel in transgenic poplars.
|
|
Received: 2017-01-18
Accepted: 2017-05-20
|
|
|
|
Corresponding Authors:
WANG Yu-rong
E-mail: yurwang@caf.ac.cn
|
|
[1] ZHANG Qi-wen, SU Xiao-hua(张绮文, 苏晓华). Directional Genetic Improvement of Poplar and Breeding of New and High Technology(杨树定向遗传改良及高新技术育种). Beijing: China Forestry Publishing House(北京: 中国林业出版社), 1999.
[2] Porth I, El-Kassaby Y A. Biotechnology Journal, 2015, 10(4): 510.
[3] Vanholme R, Morreel K, Ralph J, et al. Current Opinion in Plant Biology, 2008, 11(3): 278.
[4] Min D, Yang C, Chiang V, et al. Fuel, 2014, 116: 56.
[5] Verma S R, Dwivedi U N. South African Journal of Botany, 2014，91: 107.
[6] Coleman H D, Park J Y, Nair R, et al. Proceedings of the National Academy of Sciences of the United States of America, 2008, 105(11): 4501.
[7] Ralph J, Akiyama T, Kim H, et al. BioEnergy Research, 2012, 5(4): 8843.
[8] Faix O. Holzforschung, 2009, 45(s1): 21.
[9] Zhou G, Taylor G, Polle A. Plant Methods，2011, 7(1): 9.
[10] HUANG Rong-feng, Lü Jian-xiong, CAO Yong-jian, et al(黄荣凤, 吕建雄, 曹永建, 等). Journal of Beijing Forestry University(北京林业大学学报), 2010, 32(3): 155.
[11] Pandey K K, Pitman A J. Journal of Polymer Science Part A Polymer Chemistry, 2004, 42(10): 2340.
[12] Bjurhager I, Olsson A M, Zhang B, et al. Biomacromolecules, 2010, 11(9): 2359.
[13] Feng X, Sun R C, Qi L, et al. Wood Science and Technology, 2006, 40(5): 358.
[14] Colom X, Carrillo F, Nogués F, et al. Polymer Degradation & Stability，2003, 80(3): 543. |
| [1] |
WANG Fang-yuan1, 2, HAN Sen1, 2, YE Song1, 2, YIN Shan1, 2, LI Shu1, 2, WANG Xin-qiang1, 2*. A DFT Method to Study the Structure and Raman Spectra of Lignin
Monomer and Dimer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 76-81. |
| [2] |
HU Bin1, 2, WANG Pei-fang1, 2*, ZHANG Nan-nan3, SHI Yue4, BAO Tian-li1, 2, JIN Qiu-tong1, 2. Effect of pH on Interaction Between Dissolved Organic Matter and Copper: Based on Spectral Features[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1628-1635. |
| [3] |
LI Peng-hui, JIANG Zheng-wei, LI Jia-quan, REN Jian-peng, WU Wen-juan*. Research Progress in Quantitative Determination of Phenolic Hydroxyl Groups in Lignin[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2666-2671. |
| [4] |
LI Huan-tong1, 2, ZHU Zhi-rong1, 2, QIAO Jun-wei1, 2, LI Ning3, YAO Zheng3, HAN Wei1, 2. Molecular Representations of Jurassic-Aged Vitrinite-Rich and
Inertinite-Rich Coals in Northern Shannxi Province by
FTIR, XPS and 13C NMR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2624-2630. |
| [5] |
XUE Xin-xin, WANG Wen-bin, LUO Xue-hua, ZHANG Yong-fa, ZHAO Chun-mei. FTIR Spectroscopic Characterization of Material Composition in Leaf of Hevea Brasiliensis Seedlings Under Potassium and Magnesium Deficiency[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 74-79. |
| [6] |
REN Shuang-zan1, WANG Jing-wei2, GAO Liang-liang2, ZHU Hong-mei1, WU Hao1, LIU Jing1, TANG Xiao-jun2*, WANG Bin2. A Novel Compensation Method of Gas Absorption Spectrum Based on Time-Sharing Scanning Spectra and Double Gas Cell Switching[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3438-3443. |
| [7] |
ZHOU Jing1,2, ZHANG Qing-qing1,2, JIANG Jin-guo2, NIE Qian2, BAI Zhong-chen1, 2*. Study on the Rapid Identification of Flavonoids in Chestnut Rose (Rosa Roxburghii Tratt) by FTIR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(10): 3045-3050. |
| [8] |
WU Ting1, 2, 3, LIANG Long1, 3, ZHU Hua3, DENG Yong-jun1, 3, FANG Gui-gan1, 3*. Near-Infrared Analysis and Models Optimization of Main Components in Pulpwood of Hainan Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(05): 1404-1409. |
| [9] |
CHEN Nan1, 2, WANG Yue1, 4, WANG Bo-yu1, 3, XIA Yang1, 2, 4, LIU Tao1, 4*. Research on Numerical Model of Nano-FTIR System Based on COMSOL[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(04): 1125-1130. |
| [10] |
JIN Ke-xia, JIANG Ze-hui, MA Jian-feng, TIAN Gen-lin, YANG Shu-min, SHANG Li-li, FENG Long, LIU Xing-e*. Rapid Detection of the Kinetics and Selectivity of Delignification by Sodium Chlorite Based on Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(09): 2951-2956. |
| [11] |
SUN Hai-yan1, 2, JIA Ru1, 2, WU Yan-hua2, ZHOU Liang3, LIU Sheng-quan3, WANG Yu-rong1, 2*. Rapid Detection of Microstructural Characteristics of Heartwood and Sapwood of Chinese Fir Clones[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(01): 184-188. |
| [12] |
WANG Li-qin, YOU Rui, ZHAO Xing. Study of the Influence of Common Gas Pollutants on the Silk Fabric Structures Based on Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(12): 3681-3685. |
| [13] |
WANG Hao1, 2, JIN Bao-sheng1*, WANG Xiao-jia1, YU Bo2, CAO Jun1. Spectroscopical Analysis and Coking Mechanisim of Char Layer in Ascension Pipe of Coke Oven[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(10): 3148-3153. |
| [14] |
YUE Kong1, CHENG Xiu-cai2, JIA Chong3, LIU Wei-qing1, LU Wei-dong1. The Influence of Elevated Temperatures on Wood-Adhesive Joints by Fourier Infrared Spectrum Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(10): 3179-3183. |
| [15] |
WANG Xin1, 2, Lü Shi-long2, CHEN Xia3. Automatic Algorithm for Water Vapor Compensation of Gas Spectra Through Iterative Least Square Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(01): 20-25. |
|
|
|
|
