Anmelden

Beijing Forestry University

6 ARTICLES PUBLISHED IN JoVE

Biochemistry

Combining Raman Imaging and Multivariate Analysis to Visualize Lignin, Cellulose, and Hemicellulose in the Plant Cell Wall

Xun Zhang¹, Sheng Chen¹, Feng Xu¹

¹Beijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University

This protocol aims to present a general method to visualize lignin, cellulose, and hemicellulose in plant cell walls using Raman imaging and multivariate analysis.

Environment

Assessing the Particulate Matter Removal Abilities of Tree Leaves

Jinqiang Liu^*1, Ruina Zhang^*1, Huanhuan Liu¹, Jie Duan¹, Jia Kang¹, Zemin Guo¹, Benye Xi¹, Zhiguo Cao²

¹Key Laboratory of Silviculture and Conservation of Ministry of Education, Beijing Forestry University, ²School of Environment, Key Laboratory for Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, Henan Normal University

The ultrasonic cleaning method was applied to elute the particulate matter (PM) retained on leaf surfaces after PM was eluted by the conventional cleaning methods (water cleaning only or water cleaning plus brush cleaning). The methodology can help to improve the estimation accuracy for PM retention capacity of leaves.

Environment

Sample Preparation Method of Scanning and Transmission Electron Microscope for the Appendages of Woodboring Beetle

Yan-Ru Zhang^1,2, Hai-Li Qiao³, Li-Li Ren¹, Rong Wang⁴, Peng-Fei Lu¹

¹The Key Laboratory for Silviculture and Conservation of the Ministry of Education, School of Forestry, Beijing Forestry University, ²School of Forestry, Inner Mongolia Agricultural University, ³Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, ⁴School of Forestry, Fujian Agriculture and Forestry University

In order to observe ultrastructure of insect sensilla, scanning and transmission electron microscopy (SEM and TEM, respectively) sample preparation protocol were presented in the study. Tween 20 was added into the fixative to avoid sample deformation in SEM. Fluorescence microscopy was helpful for improving slicing accuracy in TEM.

Biology

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Wenwen Wang¹, Yanfeng Bai², Chunqian Jiang², Jinghui Meng¹

¹Research Center of Forest Management Engineering of National Forestry and Grassland Administration, Beijing Forestry University, ²Research Institute of Forestry, Chinese Academy of Forestry

Mixed-effects models are flexible and useful tools for analyzing data with a hierarchical stochastic structure in forestry and could also be used to significantly improve the performance of forest growth models. Here, a protocol is presented that synthesizes information relating to linear mixed-effects models.

Genetics

CcCIPK14 Gene Function Analysis to Illuminate the Efficient Root Transgenic System

Tengyue Liu^*1, Zhihua Song^*1, Tingting Du¹, Wanlong Yang¹, Ting Chen¹, Ying Han¹, Biying Dong¹, Hongyan Cao¹, Lili Niu^1,2, Rohul Amin¹, Haojie jin¹, Qing Yang^1,2, Dong Meng^1,2, Yujie Fu^1,2

¹College of Forestry, Beijing Forestry University, ²Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University

Here we present an efficient and stable transformation system for the functional analysis of the CcCIPK14 gene as an example, providing a technical basis for studying the metabolism of non-model plants.

Bioengineering

In Vitro Reconstitution of the Actin Cytoskeleton Inside Giant Unilamellar Vesicles

Sheng Chen¹, Zachary Gao Sun^2,3, Michael P. Murrell^1,2,3

¹Department of Biomedical Engineering, Yale University, ²Systems Biology Institute, Yale University, ³Department of Physics, Yale University

In this manuscript, we demonstrate the experimental techniques to encapsulate the F-actin cytoskeleton into giant unilamellar lipid vesicles (also called liposomes), and the method to form a cortex-biomimicking F-actin layer at the inner leaflet of the liposome membrane.